{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Accessing trajectory data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First, import libraries:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import xarray as xr\n",
    "import netCDF4\n",
    "from matplotlib import pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "Rtraj = xr.open_dataset('../../Data/6901254/6901254_Rtraj.nc')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:                              (N_PARAM: 3, N_MEASUREMENT: 4289, N_CYCLE: 66, N_HISTORY: 1043)\n",
       "Dimensions without coordinates: N_PARAM, N_MEASUREMENT, N_CYCLE, N_HISTORY\n",
       "Data variables: (12/102)\n",
       "    DATA_TYPE                            object b&#x27;Argo trajectory &#x27;\n",
       "    FORMAT_VERSION                       object b&#x27;3.1 &#x27;\n",
       "    HANDBOOK_VERSION                     object b&#x27;1.2 &#x27;\n",
       "    REFERENCE_DATE_TIME                  object b&#x27;19500101000000&#x27;\n",
       "    DATE_CREATION                        object b&#x27;20190115112520&#x27;\n",
       "    DATE_UPDATE                          object b&#x27;20200625131710&#x27;\n",
       "    ...                                   ...\n",
       "    HISTORY_PARAMETER                    (N_HISTORY) object b&#x27;               ...\n",
       "    HISTORY_PREVIOUS_VALUE               (N_HISTORY) float32 nan nan ... nan nan\n",
       "    HISTORY_INDEX_DIMENSION              (N_HISTORY) object nan nan ... nan nan\n",
       "    HISTORY_START_INDEX                  (N_HISTORY) float64 nan nan ... nan nan\n",
       "    HISTORY_STOP_INDEX                   (N_HISTORY) float64 nan nan ... nan nan\n",
       "    HISTORY_QCTEST                       (N_HISTORY) object b&#x27;               ...\n",
       "Attributes:\n",
       "    title:                        Argo float trajectory file\n",
       "    institution:                  CORIOLIS\n",
       "    source:                       Argo float\n",
       "    history:                      2019-01-15T11:25:20Z creation; 2020-06-25T1...\n",
       "    references:                   http://www.argodatamgt.org/Documentation\n",
       "    user_manual_version:          3.1\n",
       "    Conventions:                  Argo-3.1 CF-1.6\n",
       "    featureType:                  trajectory\n",
       "    decoder_version:              CODA_035b\n",
       "    comment_on_resolution:        JULD and PRES variable resolutions depend o...\n",
       "    comment_on_measurement_code:  Meaning of some specific measurement codes ...</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-f2264309-704b-4815-bbe2-8106021db7c4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f2264309-704b-4815-bbe2-8106021db7c4' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>N_PARAM</span>: 3</li><li><span>N_MEASUREMENT</span>: 4289</li><li><span>N_CYCLE</span>: 66</li><li><span>N_HISTORY</span>: 1043</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-8dc9008c-6795-4006-92ad-a394a6f10bc2' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8dc9008c-6795-4006-92ad-a394a6f10bc2' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-71b03ba2-4adc-42ad-b146-83c15c0f98a0' class='xr-section-summary-in' type='checkbox'  ><label for='section-71b03ba2-4adc-42ad-b146-83c15c0f98a0' class='xr-section-summary' >Data variables: <span>(102)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>DATA_TYPE</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-22fae0a7-c92d-401b-9f8f-1ea6c227445b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-22fae0a7-c92d-401b-9f8f-1ea6c227445b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f9eaa985-3a2f-4d51-8330-92ac4b9be298' class='xr-var-data-in' type='checkbox'><label for='data-f9eaa985-3a2f-4d51-8330-92ac4b9be298' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Data type</dd><dt><span>conventions :</span></dt><dd>Argo reference table 1</dd></dl></div><div class='xr-var-data'><pre>array(b&#x27;Argo trajectory &#x27;, dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>FORMAT_VERSION</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e1a957c8-911e-49a0-8397-2e6de78b611a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e1a957c8-911e-49a0-8397-2e6de78b611a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-254d3b88-3e13-419f-aea9-9b1ced418621' class='xr-var-data-in' type='checkbox'><label for='data-254d3b88-3e13-419f-aea9-9b1ced418621' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>File format version</dd></dl></div><div class='xr-var-data'><pre>array(b&#x27;3.1 &#x27;, dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HANDBOOK_VERSION</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3124be2c-0185-4a1b-ae1c-762e93ba7f72' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3124be2c-0185-4a1b-ae1c-762e93ba7f72' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ff3e72e8-539d-4f11-897a-871a6a29f2a3' class='xr-var-data-in' type='checkbox'><label for='data-ff3e72e8-539d-4f11-897a-871a6a29f2a3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Data handbook version</dd></dl></div><div class='xr-var-data'><pre>array(b&#x27;1.2 &#x27;, dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>REFERENCE_DATE_TIME</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6735eda4-852a-4e25-93c0-49df643b2591' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6735eda4-852a-4e25-93c0-49df643b2591' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-42a1060d-eebf-4820-ae3d-317473ac3a1f' class='xr-var-data-in' type='checkbox'><label for='data-42a1060d-eebf-4820-ae3d-317473ac3a1f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Date of reference for Julian days</dd><dt><span>conventions :</span></dt><dd>YYYYMMDDHHMISS</dd></dl></div><div class='xr-var-data'><pre>array(b&#x27;19500101000000&#x27;, dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DATE_CREATION</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-92441cc8-faca-46d8-b65e-d317baae0ba4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-92441cc8-faca-46d8-b65e-d317baae0ba4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-980f5c10-b077-41da-a833-6b02dccb5c4d' class='xr-var-data-in' type='checkbox'><label for='data-980f5c10-b077-41da-a833-6b02dccb5c4d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Date of file creation</dd><dt><span>conventions :</span></dt><dd>YYYYMMDDHHMISS</dd></dl></div><div class='xr-var-data'><pre>array(b&#x27;20190115112520&#x27;, dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DATE_UPDATE</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8a648c6b-55bc-4bf1-a032-d6a5c3186a37' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8a648c6b-55bc-4bf1-a032-d6a5c3186a37' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6a2d0ab2-5524-4007-9fe7-ec8b9f5c21d8' class='xr-var-data-in' type='checkbox'><label for='data-6a2d0ab2-5524-4007-9fe7-ec8b9f5c21d8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Date of update of this file</dd><dt><span>conventions :</span></dt><dd>YYYYMMDDHHMISS</dd></dl></div><div class='xr-var-data'><pre>array(b&#x27;20200625131710&#x27;, dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PLATFORM_NUMBER</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3486e96e-641b-459c-b352-1f3d686970a7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3486e96e-641b-459c-b352-1f3d686970a7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f4298f8d-3fc4-42a1-b83a-4849a0adc320' class='xr-var-data-in' type='checkbox'><label for='data-f4298f8d-3fc4-42a1-b83a-4849a0adc320' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Float unique identifier</dd><dt><span>conventions :</span></dt><dd>WMO float identifier : A9IIIII</dd></dl></div><div class='xr-var-data'><pre>array(b&#x27;6901254 &#x27;, dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PROJECT_NAME</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3c8571d1-cc1a-4303-87e7-7f0be36c3fb9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3c8571d1-cc1a-4303-87e7-7f0be36c3fb9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1da59091-0cb2-40c2-9161-3ff2ba27b0b8' class='xr-var-data-in' type='checkbox'><label for='data-1da59091-0cb2-40c2-9161-3ff2ba27b0b8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Name of the project</dd></dl></div><div class='xr-var-data'><pre>array(b&#x27;ARGO SPAIN                                                      &#x27;,\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PI_NAME</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f9ab4ac4-bd8f-41b4-b003-d6c0007af44f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f9ab4ac4-bd8f-41b4-b003-d6c0007af44f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3e00ea70-96fb-4aa6-ba13-66ba3810fb07' class='xr-var-data-in' type='checkbox'><label for='data-3e00ea70-96fb-4aa6-ba13-66ba3810fb07' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Name of the principal investigator</dd></dl></div><div class='xr-var-data'><pre>array(b&#x27;Pedro Velez                                                     &#x27;,\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TRAJECTORY_PARAMETERS</span></div><div class='xr-var-dims'>(N_PARAM)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-38eac183-e39f-4eff-abba-4135238cb585' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-38eac183-e39f-4eff-abba-4135238cb585' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c9e57e32-c643-4425-b2ee-5c19681f2dd3' class='xr-var-data-in' type='checkbox'><label for='data-c9e57e32-c643-4425-b2ee-5c19681f2dd3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>List of available parameters for the station</dd><dt><span>conventions :</span></dt><dd>Argo reference table 3</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;PRES            &#x27;, b&#x27;TEMP            &#x27;, b&#x27;PSAL            &#x27;],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DATA_CENTRE</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-12c9d51d-15d9-412a-8b3f-21d25223ad6c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-12c9d51d-15d9-412a-8b3f-21d25223ad6c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-17844228-73ea-4f5f-8f7d-a2893eaf7c81' class='xr-var-data-in' type='checkbox'><label for='data-17844228-73ea-4f5f-8f7d-a2893eaf7c81' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Data centre in charge of float data processing</dd><dt><span>conventions :</span></dt><dd>Argo reference table 4</dd></dl></div><div class='xr-var-data'><pre>array(b&#x27;IF&#x27;, dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DATA_STATE_INDICATOR</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-25cc2ea1-a842-4750-8b1c-5b81ae18fd0a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-25cc2ea1-a842-4750-8b1c-5b81ae18fd0a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7aeff341-7821-4c77-98d1-60d9117108e4' class='xr-var-data-in' type='checkbox'><label for='data-7aeff341-7821-4c77-98d1-60d9117108e4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Degree of processing the data have passed through</dd><dt><span>conventions :</span></dt><dd>Argo reference table 6</dd></dl></div><div class='xr-var-data'><pre>array(b&#x27;2B  &#x27;, dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PLATFORM_TYPE</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8b38a353-92a6-446d-ad78-7e824e9cd441' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8b38a353-92a6-446d-ad78-7e824e9cd441' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6c873356-f202-44c1-af5f-9a1ce4e4d11c' class='xr-var-data-in' type='checkbox'><label for='data-6c873356-f202-44c1-af5f-9a1ce4e4d11c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Type of float</dd><dt><span>conventions :</span></dt><dd>Argo reference table 23</dd></dl></div><div class='xr-var-data'><pre>array(b&#x27;ARVOR                           &#x27;, dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>FLOAT_SERIAL_NO</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-39672afd-f2de-4912-97af-a583ca12b6c3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-39672afd-f2de-4912-97af-a583ca12b6c3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-21249e0e-95d0-4ecd-b779-f0ca45da969b' class='xr-var-data-in' type='checkbox'><label for='data-21249e0e-95d0-4ecd-b779-f0ca45da969b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Serial number of the float</dd></dl></div><div class='xr-var-data'><pre>array(b&#x27;AL2500-17SP003                  &#x27;, dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>FIRMWARE_VERSION</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-48de12b0-a22b-4d5f-bee6-dd705f428cba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-48de12b0-a22b-4d5f-bee6-dd705f428cba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-00c1745e-cdfa-4c01-8ce5-e249a7b35f47' class='xr-var-data-in' type='checkbox'><label for='data-00c1745e-cdfa-4c01-8ce5-e249a7b35f47' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Instrument firmware version</dd></dl></div><div class='xr-var-data'><pre>array(b&#x27;n/a                             &#x27;, dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WMO_INST_TYPE</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-201b12ad-4ae1-400a-b270-d1297329bf89' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-201b12ad-4ae1-400a-b270-d1297329bf89' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-07b68323-3e48-4833-800e-5614ad0a2353' class='xr-var-data-in' type='checkbox'><label for='data-07b68323-3e48-4833-800e-5614ad0a2353' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Coded instrument type</dd><dt><span>conventions :</span></dt><dd>Argo reference table 8</dd></dl></div><div class='xr-var-data'><pre>array(b&#x27;844 &#x27;, dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>POSITIONING_SYSTEM</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6ec5d5a4-b6b8-4b8e-b50a-dce17f1ecbc0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6ec5d5a4-b6b8-4b8e-b50a-dce17f1ecbc0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b4e87241-31ab-4faa-b914-f83e08a302d1' class='xr-var-data-in' type='checkbox'><label for='data-b4e87241-31ab-4faa-b914-f83e08a302d1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Positioning system</dd></dl></div><div class='xr-var-data'><pre>array(b&#x27;ARGOS   &#x27;, dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD</span></div><div class='xr-var-dims'>(N_MEASUREMENT)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c427aa5d-e156-41bf-b1d8-ae475a4deea9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c427aa5d-e156-41bf-b1d8-ae475a4deea9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-90ec120e-3d06-466a-8755-a62e695fa5a2' class='xr-var-data-in' type='checkbox'><label for='data-90ec120e-3d06-466a-8755-a62e695fa5a2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Julian day (UTC) of each measurement relative to REFERENCE_DATE_TIME</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>conventions :</span></dt><dd>Relative julian days with decimal part (as parts of day)</dd><dt><span>resolution :</span></dt><dd>1.1574074074074073e-05</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>comment_on_resolution :</span></dt><dd>JULD resolution is 1 second, except for measurement codes [89 100 190 203 250 290 300 500 503 590 600 700 800] for which JULD resolution is 1 minute and for measurement codes [150 450 901] for which JULD resolution is 6 minutes</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2018-10-23T17:55:03.000001536&#x27;, &#x27;2018-10-23T17:32:27.000004096&#x27;,\n",
       "       &#x27;2018-10-23T17:32:27.000004096&#x27;, ..., &#x27;2020-06-24T12:09:08.000004864&#x27;,\n",
       "       &#x27;2020-06-24T13:00:23.000002560&#x27;,                           &#x27;NaT&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD_STATUS</span></div><div class='xr-var-dims'>(N_MEASUREMENT)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-cb4a42cd-ab1e-4690-9f27-2ec7d510da2f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cb4a42cd-ab1e-4690-9f27-2ec7d510da2f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5a8a8ce9-0a2d-4268-916c-a3189c53eee2' class='xr-var-data-in' type='checkbox'><label for='data-5a8a8ce9-0a2d-4268-916c-a3189c53eee2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Status of the date and time</dd><dt><span>conventions :</span></dt><dd>Argo reference table 19</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, ..., b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;9&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD_QC</span></div><div class='xr-var-dims'>(N_MEASUREMENT)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-338c02bb-f523-42d7-b973-39878b449a4e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-338c02bb-f523-42d7-b973-39878b449a4e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2e6fef1a-50f5-45f6-b91c-2a9074c71d58' class='xr-var-data-in' type='checkbox'><label for='data-2e6fef1a-50f5-45f6-b91c-2a9074c71d58' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Quality on date and time</dd><dt><span>conventions :</span></dt><dd>Argo reference table 2</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, ..., b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;9&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD_ADJUSTED</span></div><div class='xr-var-dims'>(N_MEASUREMENT)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a6d2c991-4654-4a15-b871-d8484ee472ef' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a6d2c991-4654-4a15-b871-d8484ee472ef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a764b695-fa6f-46f3-915a-f8b0fa66a12e' class='xr-var-data-in' type='checkbox'><label for='data-a764b695-fa6f-46f3-915a-f8b0fa66a12e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Adjusted julian day (UTC) of each measurement relative to REFERENCE_DATE_TIME</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>conventions :</span></dt><dd>Relative julian days with decimal part (as parts of day)</dd><dt><span>resolution :</span></dt><dd>1.1574074074074073e-05</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>comment_on_resolution :</span></dt><dd>JULD_ADJUSTED resolution is 1 second, except for measurement codes [89 100 190 203 250 290 300 500 503 590 600 700 800] for which JULD_ADJUSTED resolution is 1 minute and for measurement codes [150 450 901] for which JULD_ADJUSTED resolution is 6 minutes</dd></dl></div><div class='xr-var-data'><pre>array([                          &#x27;NaT&#x27;, &#x27;2018-10-23T17:32:27.000004096&#x27;,\n",
       "       &#x27;2018-10-23T17:32:27.000004096&#x27;, ..., &#x27;2020-06-24T12:09:08.000004864&#x27;,\n",
       "       &#x27;2020-06-24T13:00:23.000002560&#x27;,                           &#x27;NaT&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD_ADJUSTED_STATUS</span></div><div class='xr-var-dims'>(N_MEASUREMENT)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-86c2b921-2110-431a-92bc-d09600637c6d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-86c2b921-2110-431a-92bc-d09600637c6d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6705e456-bf8d-44ff-ad27-b58775894baa' class='xr-var-data-in' type='checkbox'><label for='data-6705e456-bf8d-44ff-ad27-b58775894baa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Status of the JULD_ADJUSTED date</dd><dt><span>conventions :</span></dt><dd>Argo reference table 19</dd></dl></div><div class='xr-var-data'><pre>array([nan, b&#x27;4&#x27;, b&#x27;4&#x27;, ..., b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;9&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD_ADJUSTED_QC</span></div><div class='xr-var-dims'>(N_MEASUREMENT)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c6b27169-771d-4103-a840-df10aa4b2736' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c6b27169-771d-4103-a840-df10aa4b2736' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-054e7364-fac3-48c6-92e7-5fc757bff792' class='xr-var-data-in' type='checkbox'><label for='data-054e7364-fac3-48c6-92e7-5fc757bff792' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Quality on adjusted date and time</dd><dt><span>conventions :</span></dt><dd>Argo reference table 2</dd></dl></div><div class='xr-var-data'><pre>array([nan, b&#x27;1&#x27;, b&#x27;1&#x27;, ..., b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;9&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>LATITUDE</span></div><div class='xr-var-dims'>(N_MEASUREMENT)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ff7c0766-30bc-49c8-9029-95760c6470cc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ff7c0766-30bc-49c8-9029-95760c6470cc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ed76fb35-a390-4e6f-86c0-24d275fe469e' class='xr-var-data-in' type='checkbox'><label for='data-ed76fb35-a390-4e6f-86c0-24d275fe469e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Latitude of each location</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degree_north</dd><dt><span>valid_min :</span></dt><dd>-90.0</dd><dt><span>valid_max :</span></dt><dd>90.0</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([29.166,    nan, 29.163, ..., 29.408,    nan,    nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>LONGITUDE</span></div><div class='xr-var-dims'>(N_MEASUREMENT)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-efbf3333-b047-466c-bcab-3f9f2c82e6c9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-efbf3333-b047-466c-bcab-3f9f2c82e6c9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6e55a115-323a-4d13-a8b0-80257203fa4d' class='xr-var-data-in' type='checkbox'><label for='data-6e55a115-323a-4d13-a8b0-80257203fa4d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Longitude of each location</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degree_east</dd><dt><span>valid_min :</span></dt><dd>-180.0</dd><dt><span>valid_max :</span></dt><dd>180.0</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-15.501,     nan, -15.504, ..., -20.393,     nan,     nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>POSITION_ACCURACY</span></div><div class='xr-var-dims'>(N_MEASUREMENT)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2e0d030a-219d-4801-a2a5-94ae16582018' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2e0d030a-219d-4801-a2a5-94ae16582018' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cc00cca5-eb56-45f2-a150-64a6d8a80d60' class='xr-var-data-in' type='checkbox'><label for='data-cc00cca5-eb56-45f2-a150-64a6d8a80d60' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Estimated accuracy in latitude and longitude</dd><dt><span>conventions :</span></dt><dd>Argo reference table 5</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, b&#x27;2&#x27;, ..., b&#x27;3&#x27;, nan, nan], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>POSITION_QC</span></div><div class='xr-var-dims'>(N_MEASUREMENT)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2cf42d8e-0673-4bb3-8748-69d18784056a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2cf42d8e-0673-4bb3-8748-69d18784056a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-202f70ff-ae0d-45b3-a7ef-2ac03757d9f7' class='xr-var-data-in' type='checkbox'><label for='data-202f70ff-ae0d-45b3-a7ef-2ac03757d9f7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Quality on position</dd><dt><span>conventions :</span></dt><dd>Argo reference table 2</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;1&#x27;, nan, b&#x27;1&#x27;, ..., b&#x27;1&#x27;, nan, nan], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CYCLE_NUMBER</span></div><div class='xr-var-dims'>(N_MEASUREMENT)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9c947df8-9c1f-446f-8935-ecb8fff6ecd8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9c947df8-9c1f-446f-8935-ecb8fff6ecd8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bba37044-41e8-49bf-8197-8fcd82c22f30' class='xr-var-data-in' type='checkbox'><label for='data-bba37044-41e8-49bf-8197-8fcd82c22f30' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Float cycle number of the measurement</dd><dt><span>conventions :</span></dt><dd>0...N, 0 : launch cycle, 1 : first complete cycle</dd></dl></div><div class='xr-var-data'><pre>array([-1.,  0.,  0., ..., 65., 65., 65.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CYCLE_NUMBER_ADJUSTED</span></div><div class='xr-var-dims'>(N_MEASUREMENT)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0bf8aa13-52e4-4bce-bc29-f384ee9eb054' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0bf8aa13-52e4-4bce-bc29-f384ee9eb054' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cf316c50-28da-4c64-b4a3-84b05a36b2ad' class='xr-var-data-in' type='checkbox'><label for='data-cf316c50-28da-4c64-b4a3-84b05a36b2ad' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Adjusted float cycle number of the measurement</dd><dt><span>conventions :</span></dt><dd>0...N, 0 : launch cycle, 1 : first complete cycle</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, ..., nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MEASUREMENT_CODE</span></div><div class='xr-var-dims'>(N_MEASUREMENT)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-64f8e274-7612-4ff7-b62d-0a9da2bd615e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-64f8e274-7612-4ff7-b62d-0a9da2bd615e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9af6e702-4032-4405-bcce-f8ae07c8f608' class='xr-var-data-in' type='checkbox'><label for='data-9af6e702-4032-4405-bcce-f8ae07c8f608' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Flag referring to a measurement event in the cycle</dd><dt><span>conventions :</span></dt><dd>Argo reference table 15</dd></dl></div><div class='xr-var-data'><pre>array([  0., 702., 703., ..., 703., 704., 800.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AXES_ERROR_ELLIPSE_MAJOR</span></div><div class='xr-var-dims'>(N_MEASUREMENT)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0dc89ad7-b798-4b97-9c3b-9482cd3bad82' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0dc89ad7-b798-4b97-9c3b-9482cd3bad82' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-343e1432-7624-4730-97c0-72a1320578e9' class='xr-var-data-in' type='checkbox'><label for='data-343e1432-7624-4730-97c0-72a1320578e9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Major axis of error ellipse from positioning system</dd><dt><span>units :</span></dt><dd>meters</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, ..., nan, nan, nan], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AXES_ERROR_ELLIPSE_MINOR</span></div><div class='xr-var-dims'>(N_MEASUREMENT)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3fad9599-1908-4c10-83fe-5043c444dda3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3fad9599-1908-4c10-83fe-5043c444dda3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-456ad475-b67f-4d76-9a89-e2f490b667b2' class='xr-var-data-in' type='checkbox'><label for='data-456ad475-b67f-4d76-9a89-e2f490b667b2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Minor axis of error ellipse from positioning system</dd><dt><span>units :</span></dt><dd>meters</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, ..., nan, nan, nan], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AXES_ERROR_ELLIPSE_ANGLE</span></div><div class='xr-var-dims'>(N_MEASUREMENT)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4703de03-8fa6-459b-baf6-ead873224488' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4703de03-8fa6-459b-baf6-ead873224488' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-90db4054-b921-4d5e-9e04-cf07cf45b94d' class='xr-var-data-in' type='checkbox'><label for='data-90db4054-b921-4d5e-9e04-cf07cf45b94d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Angle of error ellipse from positioning system</dd><dt><span>units :</span></dt><dd>Degrees (from North when heading East)</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, ..., nan, nan, nan], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SATELLITE_NAME</span></div><div class='xr-var-dims'>(N_MEASUREMENT)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-43a3776a-0e6b-446a-b0bc-6fe8b5dcc9c0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-43a3776a-0e6b-446a-b0bc-6fe8b5dcc9c0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7ccb3f5c-0dd4-4ef8-944d-941bae76e9b8' class='xr-var-data-in' type='checkbox'><label for='data-7ccb3f5c-0dd4-4ef8-944d-941bae76e9b8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Satellite name from positioning system</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, b&#x27;P&#x27;, ..., b&#x27;C&#x27;, nan, nan], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PRES</span></div><div class='xr-var-dims'>(N_MEASUREMENT)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2387d39e-e4a8-4c18-bc85-e0df13aee9d7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2387d39e-e4a8-4c18-bc85-e0df13aee9d7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b7c844b2-ca5e-4cf8-80c7-94e390408f9e' class='xr-var-data-in' type='checkbox'><label for='data-b7c844b2-ca5e-4cf8-80c7-94e390408f9e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Sea water pressure, equals 0 at sea-level</dd><dt><span>standard_name :</span></dt><dd>sea_water_pressure</dd><dt><span>units :</span></dt><dd>decibar</dd><dt><span>valid_min :</span></dt><dd>0.0</dd><dt><span>valid_max :</span></dt><dd>12000.0</dd><dt><span>C_format :</span></dt><dd>%7.1f</dd><dt><span>FORTRAN_format :</span></dt><dd>F7.1</dd><dt><span>resolution :</span></dt><dd>1.0</dd><dt><span>comment_on_resolution :</span></dt><dd>PRES resolution is 1 dbar, except for measurement codes [150 198 398 497 498 901] for which PRES resolution is 10 dbar</dd><dt><span>axis :</span></dt><dd>Z</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, ..., nan, nan, nan], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PRES_QC</span></div><div class='xr-var-dims'>(N_MEASUREMENT)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b4ca95f0-094a-425a-b5c8-7f6298298635' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b4ca95f0-094a-425a-b5c8-7f6298298635' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cd1e3d27-64bf-46ba-ac13-b8ef7c4a4b02' class='xr-var-data-in' type='checkbox'><label for='data-cd1e3d27-64bf-46ba-ac13-b8ef7c4a4b02' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>quality flag</dd><dt><span>conventions :</span></dt><dd>Argo reference table 2</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, ..., nan, nan, nan], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PRES_ADJUSTED</span></div><div class='xr-var-dims'>(N_MEASUREMENT)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6eeb600b-7206-40b5-854c-56ecd6b599aa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6eeb600b-7206-40b5-854c-56ecd6b599aa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-de65afdb-c52e-4d1c-a1e5-707a33253215' class='xr-var-data-in' type='checkbox'><label for='data-de65afdb-c52e-4d1c-a1e5-707a33253215' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Sea water pressure, equals 0 at sea-level</dd><dt><span>standard_name :</span></dt><dd>sea_water_pressure</dd><dt><span>units :</span></dt><dd>decibar</dd><dt><span>valid_min :</span></dt><dd>0.0</dd><dt><span>valid_max :</span></dt><dd>12000.0</dd><dt><span>C_format :</span></dt><dd>%7.1f</dd><dt><span>FORTRAN_format :</span></dt><dd>F7.1</dd><dt><span>resolution :</span></dt><dd>1.0</dd><dt><span>comment_on_resolution :</span></dt><dd>PRES_ADJUSTED resolution is 1 dbar, except for measurement codes [150 198 398 497 498 901] for which PRES_ADJUSTED resolution is 10 dbar</dd><dt><span>axis :</span></dt><dd>Z</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, ..., nan, nan, nan], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PRES_ADJUSTED_QC</span></div><div class='xr-var-dims'>(N_MEASUREMENT)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-09b04776-20d1-47bb-a87f-3e465f501fe3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-09b04776-20d1-47bb-a87f-3e465f501fe3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dc632650-2c1a-4656-b7f6-afd97359dcd6' class='xr-var-data-in' type='checkbox'><label for='data-dc632650-2c1a-4656-b7f6-afd97359dcd6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>quality flag</dd><dt><span>conventions :</span></dt><dd>Argo reference table 2</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, ..., nan, nan, nan], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PRES_ADJUSTED_ERROR</span></div><div class='xr-var-dims'>(N_MEASUREMENT)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-10c95d6e-ecbc-4eea-93db-169882cf6188' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-10c95d6e-ecbc-4eea-93db-169882cf6188' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5ab56e39-3892-4c9d-87b7-3b51c3570940' class='xr-var-data-in' type='checkbox'><label for='data-5ab56e39-3892-4c9d-87b7-3b51c3570940' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Contains the error on the adjusted values as determined by the delayed mode QC process</dd><dt><span>units :</span></dt><dd>decibar</dd><dt><span>C_format :</span></dt><dd>%7.1f</dd><dt><span>FORTRAN_format :</span></dt><dd>F7.1</dd><dt><span>resolution :</span></dt><dd>1.0</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, ..., nan, nan, nan], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TEMP</span></div><div class='xr-var-dims'>(N_MEASUREMENT)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-cb020dc0-58be-493c-a013-ed66a6f35a92' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cb020dc0-58be-493c-a013-ed66a6f35a92' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b628ce73-3716-4e57-b78a-0efff4a928ef' class='xr-var-data-in' type='checkbox'><label for='data-b628ce73-3716-4e57-b78a-0efff4a928ef' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Sea temperature in-situ ITS-90 scale</dd><dt><span>standard_name :</span></dt><dd>sea_water_temperature</dd><dt><span>units :</span></dt><dd>degree_Celsius</dd><dt><span>valid_min :</span></dt><dd>-2.5</dd><dt><span>valid_max :</span></dt><dd>40.0</dd><dt><span>C_format :</span></dt><dd>%9.3f</dd><dt><span>FORTRAN_format :</span></dt><dd>F9.3</dd><dt><span>resolution :</span></dt><dd>0.001</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, ..., nan, nan, nan], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TEMP_QC</span></div><div class='xr-var-dims'>(N_MEASUREMENT)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2ad48cc2-d6f7-4289-ab0a-97b705483612' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2ad48cc2-d6f7-4289-ab0a-97b705483612' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ba7901e1-f3ee-4f0c-a0e1-390d3b3f2bdd' class='xr-var-data-in' type='checkbox'><label for='data-ba7901e1-f3ee-4f0c-a0e1-390d3b3f2bdd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>quality flag</dd><dt><span>conventions :</span></dt><dd>Argo reference table 2</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, ..., nan, nan, nan], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TEMP_ADJUSTED</span></div><div class='xr-var-dims'>(N_MEASUREMENT)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fe024474-7228-4338-8cf5-9e6434ed6f75' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fe024474-7228-4338-8cf5-9e6434ed6f75' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9b29d263-a0ed-463b-a3da-fca0a0afd8ca' class='xr-var-data-in' type='checkbox'><label for='data-9b29d263-a0ed-463b-a3da-fca0a0afd8ca' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Sea temperature in-situ ITS-90 scale</dd><dt><span>standard_name :</span></dt><dd>sea_water_temperature</dd><dt><span>units :</span></dt><dd>degree_Celsius</dd><dt><span>valid_min :</span></dt><dd>-2.5</dd><dt><span>valid_max :</span></dt><dd>40.0</dd><dt><span>C_format :</span></dt><dd>%9.3f</dd><dt><span>FORTRAN_format :</span></dt><dd>F9.3</dd><dt><span>resolution :</span></dt><dd>0.001</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, ..., nan, nan, nan], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TEMP_ADJUSTED_QC</span></div><div class='xr-var-dims'>(N_MEASUREMENT)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-30f5145f-7613-47ca-9efc-36e77f077d8a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-30f5145f-7613-47ca-9efc-36e77f077d8a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-59b5cc90-5d34-4390-bf71-c66e3d6717b8' class='xr-var-data-in' type='checkbox'><label for='data-59b5cc90-5d34-4390-bf71-c66e3d6717b8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>quality flag</dd><dt><span>conventions :</span></dt><dd>Argo reference table 2</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, ..., nan, nan, nan], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TEMP_ADJUSTED_ERROR</span></div><div class='xr-var-dims'>(N_MEASUREMENT)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-38e78559-aa51-46fd-8c9f-dc21bbbaaad6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-38e78559-aa51-46fd-8c9f-dc21bbbaaad6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-112f79e1-26c4-4f7a-bce9-4564fa32e0a9' class='xr-var-data-in' type='checkbox'><label for='data-112f79e1-26c4-4f7a-bce9-4564fa32e0a9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Contains the error on the adjusted values as determined by the delayed mode QC process</dd><dt><span>units :</span></dt><dd>degree_Celsius</dd><dt><span>C_format :</span></dt><dd>%9.3f</dd><dt><span>FORTRAN_format :</span></dt><dd>F9.3</dd><dt><span>resolution :</span></dt><dd>0.001</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, ..., nan, nan, nan], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PSAL</span></div><div class='xr-var-dims'>(N_MEASUREMENT)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7641457f-c8db-4099-abe5-e5037f66718b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7641457f-c8db-4099-abe5-e5037f66718b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-179b8db3-190d-4819-bb2e-21352c1b88c6' class='xr-var-data-in' type='checkbox'><label for='data-179b8db3-190d-4819-bb2e-21352c1b88c6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Practical salinity</dd><dt><span>standard_name :</span></dt><dd>sea_water_salinity</dd><dt><span>units :</span></dt><dd>psu</dd><dt><span>valid_min :</span></dt><dd>2.0</dd><dt><span>valid_max :</span></dt><dd>41.0</dd><dt><span>C_format :</span></dt><dd>%9.3f</dd><dt><span>FORTRAN_format :</span></dt><dd>F9.3</dd><dt><span>resolution :</span></dt><dd>0.001</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, ..., nan, nan, nan], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PSAL_QC</span></div><div class='xr-var-dims'>(N_MEASUREMENT)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0b2df11d-0e66-4d34-a2a4-a0fb4ff1dec9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0b2df11d-0e66-4d34-a2a4-a0fb4ff1dec9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-07b386fd-bcb3-4c8c-a7fd-5ed6725d8912' class='xr-var-data-in' type='checkbox'><label for='data-07b386fd-bcb3-4c8c-a7fd-5ed6725d8912' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>quality flag</dd><dt><span>conventions :</span></dt><dd>Argo reference table 2</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, ..., nan, nan, nan], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PSAL_ADJUSTED</span></div><div class='xr-var-dims'>(N_MEASUREMENT)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-14fdbb65-3a99-4948-aeb9-621de10f535a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-14fdbb65-3a99-4948-aeb9-621de10f535a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ddd0521d-1949-462d-8e13-b32194b19728' class='xr-var-data-in' type='checkbox'><label for='data-ddd0521d-1949-462d-8e13-b32194b19728' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Practical salinity</dd><dt><span>standard_name :</span></dt><dd>sea_water_salinity</dd><dt><span>units :</span></dt><dd>psu</dd><dt><span>valid_min :</span></dt><dd>2.0</dd><dt><span>valid_max :</span></dt><dd>41.0</dd><dt><span>C_format :</span></dt><dd>%9.3f</dd><dt><span>FORTRAN_format :</span></dt><dd>F9.3</dd><dt><span>resolution :</span></dt><dd>0.001</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, ..., nan, nan, nan], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PSAL_ADJUSTED_QC</span></div><div class='xr-var-dims'>(N_MEASUREMENT)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7aac7726-815f-4667-9671-2a46e8e01158' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7aac7726-815f-4667-9671-2a46e8e01158' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-10c2d22e-b866-4004-82f8-28e4408bd023' class='xr-var-data-in' type='checkbox'><label for='data-10c2d22e-b866-4004-82f8-28e4408bd023' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>quality flag</dd><dt><span>conventions :</span></dt><dd>Argo reference table 2</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, ..., nan, nan, nan], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PSAL_ADJUSTED_ERROR</span></div><div class='xr-var-dims'>(N_MEASUREMENT)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f72df27a-673a-4ff6-b85c-3144fa3e712c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f72df27a-673a-4ff6-b85c-3144fa3e712c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f08e66a1-8ecf-4985-a06f-ece7521c5bf9' class='xr-var-data-in' type='checkbox'><label for='data-f08e66a1-8ecf-4985-a06f-ece7521c5bf9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Contains the error on the adjusted values as determined by the delayed mode QC process</dd><dt><span>units :</span></dt><dd>psu</dd><dt><span>C_format :</span></dt><dd>%9.3f</dd><dt><span>FORTRAN_format :</span></dt><dd>F9.3</dd><dt><span>resolution :</span></dt><dd>0.001</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, ..., nan, nan, nan], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD_DESCENT_START</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3a648c49-28b9-456f-bbcc-f45712895734' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3a648c49-28b9-456f-bbcc-f45712895734' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9e9664df-5ec3-40d0-9c9e-b6166d5f4975' class='xr-var-data-in' type='checkbox'><label for='data-9e9664df-5ec3-40d0-9c9e-b6166d5f4975' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Descent start date of the cycle</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>conventions :</span></dt><dd>Relative julian days with decimal part (as parts of day)</dd><dt><span>resolution :</span></dt><dd>0.0006944444444444445</dd></dl></div><div class='xr-var-data'><pre>array([                          &#x27;NaT&#x27;, &#x27;2018-10-23T20:54:00.000000000&#x27;,\n",
       "       &#x27;2018-10-25T14:09:00.000000000&#x27;, &#x27;2018-10-27T13:54:59.999999744&#x27;,\n",
       "       &#x27;2018-10-29T13:42:00.000000256&#x27;, &#x27;2018-10-31T13:44:00.000000000&#x27;,\n",
       "       &#x27;2018-11-02T13:53:00.000000000&#x27;, &#x27;2018-11-12T13:44:00.000000000&#x27;,\n",
       "       &#x27;2018-11-22T13:40:00.000000000&#x27;, &#x27;2018-12-02T13:52:00.000000000&#x27;,\n",
       "       &#x27;2018-12-12T13:44:00.000000000&#x27;, &#x27;2018-12-22T13:46:59.999999744&#x27;,\n",
       "       &#x27;2019-01-01T13:38:00.000000000&#x27;, &#x27;2019-01-11T13:42:00.000000256&#x27;,\n",
       "       &#x27;2019-01-21T13:50:00.000000256&#x27;, &#x27;2019-01-31T13:55:00.000000256&#x27;,\n",
       "       &#x27;2019-02-10T13:40:00.000000000&#x27;, &#x27;2019-02-20T14:03:00.000000256&#x27;,\n",
       "       &#x27;2019-03-02T13:48:00.000000000&#x27;, &#x27;2019-03-12T13:48:00.000000000&#x27;,\n",
       "       &#x27;2019-03-22T13:48:00.000000000&#x27;, &#x27;2019-04-01T13:44:00.000000000&#x27;,\n",
       "       &#x27;2019-04-11T13:52:00.000000000&#x27;, &#x27;2019-04-21T14:00:59.999999744&#x27;,\n",
       "       &#x27;2019-05-01T13:57:59.999999744&#x27;, &#x27;2019-05-11T13:44:59.999999744&#x27;,\n",
       "       &#x27;2019-05-21T13:52:59.999999744&#x27;, &#x27;2019-05-31T13:52:59.999999744&#x27;,\n",
       "       &#x27;2019-06-10T13:38:00.000000000&#x27;, &#x27;2019-06-20T13:49:00.000000000&#x27;,\n",
       "       &#x27;2019-06-30T13:54:00.000000000&#x27;, &#x27;2019-07-10T13:51:00.000000000&#x27;,\n",
       "       &#x27;2019-07-20T13:54:00.000000000&#x27;, &#x27;2019-07-30T13:48:00.000000000&#x27;,\n",
       "       &#x27;2019-08-09T13:49:00.000000000&#x27;, &#x27;2019-08-19T13:59:00.000000000&#x27;,\n",
       "       &#x27;2019-08-29T13:43:00.000000000&#x27;, &#x27;2019-09-08T13:36:00.000000000&#x27;,\n",
       "       &#x27;2019-09-18T13:41:00.000000000&#x27;, &#x27;2019-09-28T13:37:00.000000000&#x27;,\n",
       "       &#x27;2019-10-08T13:37:00.000000000&#x27;, &#x27;2019-10-18T13:41:59.999999744&#x27;,\n",
       "       &#x27;2019-10-28T13:33:00.000000000&#x27;, &#x27;2019-11-07T13:44:00.000000000&#x27;,\n",
       "       &#x27;2019-11-17T13:42:59.999999744&#x27;, &#x27;2019-11-27T13:26:59.999999744&#x27;,\n",
       "       &#x27;2019-12-07T13:47:59.999999744&#x27;, &#x27;2019-12-17T13:38:00.000000000&#x27;,\n",
       "       &#x27;2019-12-27T13:41:59.999999744&#x27;, &#x27;2020-01-06T13:33:00.000000000&#x27;,\n",
       "       &#x27;2020-01-16T13:49:59.999999744&#x27;, &#x27;2020-01-26T13:36:59.999999744&#x27;,\n",
       "       &#x27;2020-02-05T13:48:00.000000000&#x27;, &#x27;2020-02-15T13:39:00.000000000&#x27;,\n",
       "       &#x27;2020-02-25T13:31:00.000000000&#x27;, &#x27;2020-03-06T13:39:00.000000000&#x27;,\n",
       "       &#x27;2020-03-16T13:37:00.000000000&#x27;, &#x27;2020-03-26T13:43:00.000000000&#x27;,\n",
       "       &#x27;2020-04-05T13:21:00.000000000&#x27;, &#x27;2020-04-15T13:30:00.000000000&#x27;,\n",
       "       &#x27;2020-04-25T13:46:59.999999744&#x27;, &#x27;2020-05-05T13:41:59.999999744&#x27;,\n",
       "       &#x27;2020-05-15T13:33:00.000000000&#x27;, &#x27;2020-05-25T13:42:00.000000256&#x27;,\n",
       "       &#x27;2020-06-04T13:33:00.000000000&#x27;, &#x27;2020-06-14T13:33:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD_DESCENT_START_STATUS</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4e0eeec9-002f-4ae5-80d8-5e5ca40ff4d9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4e0eeec9-002f-4ae5-80d8-5e5ca40ff4d9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cf9827ef-7776-4699-8703-837f45cd9ba2' class='xr-var-data-in' type='checkbox'><label for='data-cf9827ef-7776-4699-8703-837f45cd9ba2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Status of descent start date of the cycle</dd><dt><span>conventions :</span></dt><dd>Argo reference table 19</dd></dl></div><div class='xr-var-data'><pre>array([nan, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD_FIRST_STABILIZATION</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7fa07195-679f-4084-85dd-7ebe9985d149' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7fa07195-679f-4084-85dd-7ebe9985d149' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2ba29b99-4150-4087-8b00-1c88119a5db7' class='xr-var-data-in' type='checkbox'><label for='data-2ba29b99-4150-4087-8b00-1c88119a5db7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time when a float first becomes water-neutral</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>conventions :</span></dt><dd>Relative julian days with decimal part (as parts of day)</dd><dt><span>resolution :</span></dt><dd>0.004166666666666667</dd></dl></div><div class='xr-var-data'><pre>array([                          &#x27;NaT&#x27;, &#x27;2018-10-24T00:34:00.000000000&#x27;,\n",
       "       &#x27;2018-10-25T14:34:00.000000000&#x27;, &#x27;2018-10-27T14:34:00.000000000&#x27;,\n",
       "       &#x27;2018-10-29T14:16:00.000000000&#x27;, &#x27;2018-10-31T14:10:00.000000000&#x27;,\n",
       "       &#x27;2018-11-02T15:52:00.000000000&#x27;, &#x27;2018-11-12T14:04:00.000000000&#x27;,\n",
       "       &#x27;2018-11-22T15:10:00.000000000&#x27;, &#x27;2018-12-02T18:40:00.000000000&#x27;,\n",
       "       &#x27;2018-12-12T14:34:00.000000000&#x27;, &#x27;2018-12-22T16:46:00.000000000&#x27;,\n",
       "       &#x27;2019-01-01T16:15:00.000000256&#x27;, &#x27;2019-01-11T16:21:00.000000000&#x27;,\n",
       "       &#x27;2019-01-21T16:45:00.000000000&#x27;, &#x27;2019-01-31T17:15:00.000000000&#x27;,\n",
       "       &#x27;2019-02-10T17:15:00.000000000&#x27;, &#x27;2019-02-20T17:15:00.000000000&#x27;,\n",
       "       &#x27;2019-03-02T17:15:00.000000000&#x27;, &#x27;2019-03-12T16:45:00.000000000&#x27;,\n",
       "       &#x27;2019-03-22T16:21:00.000000000&#x27;, &#x27;2019-04-01T17:02:00.000000000&#x27;,\n",
       "       &#x27;2019-04-11T17:13:59.999999744&#x27;, &#x27;2019-04-21T16:56:00.000000000&#x27;,\n",
       "       &#x27;2019-05-01T17:31:59.999999744&#x27;, &#x27;2019-05-11T16:32:00.000000000&#x27;,\n",
       "       &#x27;2019-05-21T15:38:00.000000000&#x27;, &#x27;2019-05-31T16:44:00.000000000&#x27;,\n",
       "       &#x27;2019-06-10T14:08:00.000000000&#x27;, &#x27;2019-06-20T14:13:59.999999744&#x27;,\n",
       "       &#x27;2019-06-30T16:14:00.000000000&#x27;, &#x27;2019-07-10T14:13:59.999999744&#x27;,\n",
       "       &#x27;2019-07-20T14:31:59.999999744&#x27;, &#x27;2019-07-30T16:37:00.000000000&#x27;,\n",
       "       &#x27;2019-08-09T14:25:00.000000000&#x27;, &#x27;2019-08-19T15:13:00.000000000&#x27;,\n",
       "       &#x27;2019-08-29T14:13:00.000000000&#x27;, &#x27;2019-09-08T14:01:00.000000000&#x27;,\n",
       "       &#x27;2019-09-18T14:01:00.000000000&#x27;, &#x27;2019-09-28T14:07:00.000000000&#x27;,\n",
       "       &#x27;2019-10-08T14:19:00.000000256&#x27;, &#x27;2019-10-18T14:24:00.000000000&#x27;,\n",
       "       &#x27;2019-10-28T14:11:59.999999744&#x27;, &#x27;2019-11-07T14:35:59.999999744&#x27;,\n",
       "       &#x27;2019-11-17T14:24:00.000000000&#x27;, &#x27;2019-11-27T15:41:59.999999744&#x27;,\n",
       "       &#x27;2019-12-07T16:54:00.000000000&#x27;, &#x27;2019-12-17T17:18:00.000000000&#x27;,\n",
       "       &#x27;2019-12-27T15:06:00.000000000&#x27;, &#x27;2020-01-06T16:12:00.000000000&#x27;,\n",
       "       &#x27;2020-01-16T17:05:59.999999744&#x27;, &#x27;2020-01-26T16:05:59.999999744&#x27;,\n",
       "       &#x27;2020-02-05T17:17:00.000000000&#x27;, &#x27;2020-02-15T17:10:59.999999744&#x27;,\n",
       "       &#x27;2020-02-25T15:47:00.000000000&#x27;, &#x27;2020-03-06T13:53:00.000000000&#x27;,\n",
       "       &#x27;2020-03-16T17:23:00.000000000&#x27;, &#x27;2020-03-26T14:59:00.000000000&#x27;,\n",
       "       &#x27;2020-04-05T16:59:00.000000000&#x27;, &#x27;2020-04-15T16:53:00.000000000&#x27;,\n",
       "       &#x27;2020-04-25T17:17:00.000000000&#x27;, &#x27;2020-05-05T16:35:00.000000000&#x27;,\n",
       "       &#x27;2020-05-15T17:16:00.000000256&#x27;, &#x27;2020-05-25T16:34:00.000000256&#x27;,\n",
       "       &#x27;2020-06-04T16:10:00.000000256&#x27;, &#x27;2020-06-14T14:52:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD_FIRST_STABILIZATION_STATUS</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a117af51-08e7-40ff-a455-03abe25a8d76' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a117af51-08e7-40ff-a455-03abe25a8d76' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-24d71e83-a407-4067-a290-4d3d1793509a' class='xr-var-data-in' type='checkbox'><label for='data-24d71e83-a407-4067-a290-4d3d1793509a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Status of time when a float first becomes water-neutral</dd><dt><span>conventions :</span></dt><dd>Argo reference table 19</dd></dl></div><div class='xr-var-data'><pre>array([nan, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD_DESCENT_END</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-26cc8ae8-66b8-4650-9ad6-709a0198d6f0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-26cc8ae8-66b8-4650-9ad6-709a0198d6f0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-628fc124-e054-40d0-aa2b-bceaf5989e10' class='xr-var-data-in' type='checkbox'><label for='data-628fc124-e054-40d0-aa2b-bceaf5989e10' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Descent end date of the cycle</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>conventions :</span></dt><dd>Relative julian days with decimal part (as parts of day)</dd><dt><span>resolution :</span></dt><dd>0.0006944444444444445</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;,\n",
       "       &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;,\n",
       "       &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;,\n",
       "       &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;,\n",
       "       &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;,\n",
       "       &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;,\n",
       "       &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD_DESCENT_END_STATUS</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5e860ba2-e7f6-48db-a998-d34f19712f6b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5e860ba2-e7f6-48db-a998-d34f19712f6b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4af5a92a-a5f8-4c79-b705-b23fb61a3433' class='xr-var-data-in' type='checkbox'><label for='data-4af5a92a-a5f8-4c79-b705-b23fb61a3433' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Status of descent end date of the cycle</dd><dt><span>conventions :</span></dt><dd>Argo reference table 19</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD_PARK_START</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6d39664a-a5e7-44a6-9359-fb80cef896ee' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6d39664a-a5e7-44a6-9359-fb80cef896ee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0305c0bd-b0e4-4123-8d9f-e417521aacac' class='xr-var-data-in' type='checkbox'><label for='data-0305c0bd-b0e4-4123-8d9f-e417521aacac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Drift start date of the cycle</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>conventions :</span></dt><dd>Relative julian days with decimal part (as parts of day)</dd><dt><span>resolution :</span></dt><dd>0.0006944444444444445</dd></dl></div><div class='xr-var-data'><pre>array([                          &#x27;NaT&#x27;, &#x27;2018-10-24T05:16:00.000000000&#x27;,\n",
       "       &#x27;2018-10-26T00:06:00.000000000&#x27;, &#x27;2018-10-27T23:52:00.000000000&#x27;,\n",
       "       &#x27;2018-10-29T23:29:00.000000000&#x27;, &#x27;2018-10-31T22:46:00.000000000&#x27;,\n",
       "       &#x27;2018-11-03T00:15:00.000000000&#x27;, &#x27;2018-11-12T23:11:00.000000256&#x27;,\n",
       "       &#x27;2018-11-23T00:27:00.000000000&#x27;, &#x27;2018-12-02T18:44:00.000000000&#x27;,\n",
       "       &#x27;2018-12-12T23:22:00.000000000&#x27;, &#x27;2018-12-23T00:39:00.000000000&#x27;,\n",
       "       &#x27;2019-01-01T23:50:00.000000256&#x27;, &#x27;2019-01-12T01:14:00.000000000&#x27;,\n",
       "       &#x27;2019-01-22T00:23:00.000000000&#x27;, &#x27;2019-02-01T00:47:00.000000000&#x27;,\n",
       "       &#x27;2019-02-11T00:07:00.000000000&#x27;, &#x27;2019-02-21T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-03-03T00:10:00.000000000&#x27;, &#x27;2019-03-13T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-03-22T23:35:00.000000256&#x27;, &#x27;2019-04-01T21:09:00.000000000&#x27;,\n",
       "       &#x27;2019-04-11T23:39:00.000000000&#x27;, &#x27;2019-04-21T23:08:00.000000000&#x27;,\n",
       "       &#x27;2019-05-02T00:24:59.999999744&#x27;, &#x27;2019-05-12T00:32:00.000000000&#x27;,\n",
       "       &#x27;2019-05-22T01:25:00.000000000&#x27;, &#x27;2019-05-31T22:40:00.000000000&#x27;,\n",
       "       &#x27;2019-06-10T23:31:00.000000000&#x27;, &#x27;2019-06-20T23:21:00.000000000&#x27;,\n",
       "       &#x27;2019-07-01T02:00:59.999999744&#x27;, &#x27;2019-07-10T23:37:59.999999744&#x27;,\n",
       "       &#x27;2019-07-21T00:40:59.999999744&#x27;, &#x27;2019-07-31T00:26:00.000000000&#x27;,\n",
       "       &#x27;2019-08-10T00:06:00.000000000&#x27;, &#x27;2019-08-20T00:06:00.000000000&#x27;,\n",
       "       &#x27;2019-08-30T00:20:00.000000256&#x27;, &#x27;2019-09-08T23:33:00.000000000&#x27;,\n",
       "       &#x27;2019-09-19T00:18:00.000000000&#x27;, &#x27;2019-09-28T23:14:00.000000000&#x27;,\n",
       "       &#x27;2019-10-08T22:59:00.000000000&#x27;, &#x27;2019-10-18T23:50:00.000000000&#x27;,\n",
       "       &#x27;2019-10-28T23:50:00.000000000&#x27;, &#x27;2019-11-08T00:11:00.000000000&#x27;,\n",
       "       &#x27;2019-11-17T23:55:00.000000000&#x27;, &#x27;2019-11-27T22:28:59.999999744&#x27;,\n",
       "       &#x27;2019-12-08T00:09:59.999999744&#x27;, &#x27;2019-12-17T23:10:00.000000000&#x27;,\n",
       "       &#x27;2019-12-27T23:24:00.000000000&#x27;, &#x27;2020-01-06T23:39:59.999999744&#x27;,\n",
       "       &#x27;2020-01-16T23:52:00.000000000&#x27;, &#x27;2020-01-26T23:39:00.000000000&#x27;,\n",
       "       &#x27;2020-02-05T21:45:00.000000000&#x27;, &#x27;2020-02-15T21:40:59.999999744&#x27;,\n",
       "       &#x27;2020-02-25T23:08:00.000000000&#x27;, &#x27;2020-03-07T00:36:00.000000000&#x27;,\n",
       "       &#x27;2020-03-17T00:14:00.000000000&#x27;, &#x27;2020-03-26T22:30:00.000000000&#x27;,\n",
       "       &#x27;2020-04-05T21:03:00.000000000&#x27;, &#x27;2020-04-15T21:52:00.000000000&#x27;,\n",
       "       &#x27;2020-04-25T22:44:00.000000000&#x27;, &#x27;2020-05-05T23:34:00.000000000&#x27;,\n",
       "       &#x27;2020-05-15T21:30:00.000000256&#x27;, &#x27;2020-05-25T21:34:00.000000000&#x27;,\n",
       "       &#x27;2020-06-04T22:50:00.000000256&#x27;, &#x27;2020-06-14T21:51:00.000000256&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD_PARK_START_STATUS</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ed19d68c-0740-41ab-8fb3-daa55b6b3c99' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ed19d68c-0740-41ab-8fb3-daa55b6b3c99' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0a571fb3-1781-4474-adea-d666f8305899' class='xr-var-data-in' type='checkbox'><label for='data-0a571fb3-1781-4474-adea-d666f8305899' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Status of drift start date of the cycle</dd><dt><span>conventions :</span></dt><dd>Argo reference table 19</dd></dl></div><div class='xr-var-data'><pre>array([nan, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD_PARK_END</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-47ac0abe-b0d5-41a6-a53a-8d007fa4336c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-47ac0abe-b0d5-41a6-a53a-8d007fa4336c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0ff36b9c-31c6-4c5f-9f7a-6d494a415e05' class='xr-var-data-in' type='checkbox'><label for='data-0ff36b9c-31c6-4c5f-9f7a-6d494a415e05' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Drift end date of the cycle</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>conventions :</span></dt><dd>Relative julian days with decimal part (as parts of day)</dd><dt><span>resolution :</span></dt><dd>0.0006944444444444445</dd></dl></div><div class='xr-var-data'><pre>array([                          &#x27;NaT&#x27;, &#x27;2018-10-24T12:35:00.000000000&#x27;,\n",
       "       &#x27;2018-10-26T12:35:00.000000000&#x27;, &#x27;2018-10-28T12:35:00.000000000&#x27;,\n",
       "       &#x27;2018-10-30T12:35:00.000000000&#x27;, &#x27;2018-11-01T12:35:00.000000000&#x27;,\n",
       "       &#x27;2018-11-11T12:35:00.000000000&#x27;, &#x27;2018-11-21T12:35:00.000000000&#x27;,\n",
       "       &#x27;2018-12-01T12:35:00.000000000&#x27;, &#x27;2018-12-11T12:35:00.000000000&#x27;,\n",
       "       &#x27;2018-12-21T12:35:00.000000000&#x27;, &#x27;2018-12-31T12:35:00.000000000&#x27;,\n",
       "       &#x27;2019-01-10T12:34:00.000000000&#x27;, &#x27;2019-01-20T12:34:00.000000000&#x27;,\n",
       "       &#x27;2019-01-30T12:34:00.000000000&#x27;, &#x27;2019-02-09T12:34:00.000000000&#x27;,\n",
       "       &#x27;2019-02-19T12:34:00.000000000&#x27;, &#x27;2019-03-01T12:34:00.000000000&#x27;,\n",
       "       &#x27;2019-03-11T12:34:00.000000000&#x27;, &#x27;2019-03-21T12:34:00.000000000&#x27;,\n",
       "       &#x27;2019-03-31T12:34:00.000000000&#x27;, &#x27;2019-04-10T12:32:59.999999744&#x27;,\n",
       "       &#x27;2019-04-20T12:32:59.999999744&#x27;, &#x27;2019-04-30T12:32:00.000000000&#x27;,\n",
       "       &#x27;2019-05-10T12:32:59.999999744&#x27;, &#x27;2019-05-20T12:32:59.999999744&#x27;,\n",
       "       &#x27;2019-05-30T12:32:59.999999744&#x27;, &#x27;2019-06-09T12:32:59.999999744&#x27;,\n",
       "       &#x27;2019-06-19T12:32:59.999999744&#x27;, &#x27;2019-06-29T12:32:59.999999744&#x27;,\n",
       "       &#x27;2019-07-09T12:32:59.999999744&#x27;, &#x27;2019-07-19T12:32:59.999999744&#x27;,\n",
       "       &#x27;2019-07-29T12:32:59.999999744&#x27;, &#x27;2019-08-08T12:32:00.000000000&#x27;,\n",
       "       &#x27;2019-08-18T12:32:00.000000000&#x27;, &#x27;2019-08-28T12:32:00.000000000&#x27;,\n",
       "       &#x27;2019-09-07T12:32:00.000000000&#x27;, &#x27;2019-09-17T12:32:00.000000000&#x27;,\n",
       "       &#x27;2019-09-27T12:32:00.000000000&#x27;, &#x27;2019-10-07T12:32:00.000000000&#x27;,\n",
       "       &#x27;2019-10-17T12:32:00.000000000&#x27;, &#x27;2019-10-27T12:30:59.999999744&#x27;,\n",
       "       &#x27;2019-11-06T12:30:59.999999744&#x27;, &#x27;2019-11-16T12:30:59.999999744&#x27;,\n",
       "       &#x27;2019-11-26T12:30:59.999999744&#x27;, &#x27;2019-12-06T12:30:59.999999744&#x27;,\n",
       "       &#x27;2019-12-16T12:30:59.999999744&#x27;, &#x27;2019-12-26T12:30:59.999999744&#x27;,\n",
       "       &#x27;2020-01-05T12:30:59.999999744&#x27;, &#x27;2020-01-15T12:30:59.999999744&#x27;,\n",
       "       &#x27;2020-01-25T12:30:59.999999744&#x27;, &#x27;2020-02-04T12:30:59.999999744&#x27;,\n",
       "       &#x27;2020-02-14T12:30:00.000000000&#x27;, &#x27;2020-02-24T12:30:00.000000000&#x27;,\n",
       "       &#x27;2020-03-05T12:30:00.000000000&#x27;, &#x27;2020-03-15T12:30:00.000000000&#x27;,\n",
       "       &#x27;2020-03-25T12:30:00.000000000&#x27;, &#x27;2020-04-04T12:30:00.000000000&#x27;,\n",
       "       &#x27;2020-04-14T12:30:00.000000000&#x27;, &#x27;2020-04-24T12:30:00.000000000&#x27;,\n",
       "       &#x27;2020-05-04T12:30:00.000000000&#x27;, &#x27;2020-05-14T12:30:00.000000000&#x27;,\n",
       "       &#x27;2020-05-24T12:29:00.000000000&#x27;, &#x27;2020-06-03T12:29:00.000000000&#x27;,\n",
       "       &#x27;2020-06-13T12:29:00.000000000&#x27;, &#x27;2020-06-23T12:29:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD_PARK_END_STATUS</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ee6af9ab-75b6-48e8-b88e-fbde6c084396' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ee6af9ab-75b6-48e8-b88e-fbde6c084396' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b6be78d5-86a8-4904-a6f7-c2cb01ea41b4' class='xr-var-data-in' type='checkbox'><label for='data-b6be78d5-86a8-4904-a6f7-c2cb01ea41b4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Status of drift end date of the cycle</dd><dt><span>conventions :</span></dt><dd>Argo reference table 19</dd></dl></div><div class='xr-var-data'><pre>array([nan, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD_DEEP_DESCENT_END</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-92bb4c1b-da0f-4b14-b4fd-f8be66e5193b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-92bb4c1b-da0f-4b14-b4fd-f8be66e5193b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4a5fa634-0a75-469e-81b7-56807cf3f9e7' class='xr-var-data-in' type='checkbox'><label for='data-4a5fa634-0a75-469e-81b7-56807cf3f9e7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Deep descent end date of the cycle</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>conventions :</span></dt><dd>Relative julian days with decimal part (as parts of day)</dd><dt><span>resolution :</span></dt><dd>0.004166666666666667</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;,\n",
       "       &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;,\n",
       "       &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;,\n",
       "       &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;,\n",
       "       &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;,\n",
       "       &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;,\n",
       "       &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD_DEEP_DESCENT_END_STATUS</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-20756640-7e8a-42e3-a436-7b4822ec8d22' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-20756640-7e8a-42e3-a436-7b4822ec8d22' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2f9b2bbd-2905-48ad-af1a-2774073abaec' class='xr-var-data-in' type='checkbox'><label for='data-2f9b2bbd-2905-48ad-af1a-2774073abaec' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Status of deep descent end date of the cycle</dd><dt><span>conventions :</span></dt><dd>Argo reference table 19</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD_DEEP_PARK_START</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-90a1f86a-b31d-4e04-ac21-5b8fefa61590' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-90a1f86a-b31d-4e04-ac21-5b8fefa61590' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-69f3f156-4ac2-4906-87c9-540ec79ab975' class='xr-var-data-in' type='checkbox'><label for='data-69f3f156-4ac2-4906-87c9-540ec79ab975' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Deep park start date of the cycle</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>conventions :</span></dt><dd>Relative julian days with decimal part (as parts of day)</dd><dt><span>resolution :</span></dt><dd>0.004166666666666667</dd></dl></div><div class='xr-var-data'><pre>array([                          &#x27;NaT&#x27;, &#x27;2018-10-24T23:10:00.000000000&#x27;,\n",
       "       &#x27;2018-10-26T21:28:00.000000256&#x27;, &#x27;2018-10-28T23:16:00.000000000&#x27;,\n",
       "       &#x27;2018-10-30T21:46:00.000000000&#x27;, &#x27;2018-11-01T22:46:00.000000000&#x27;,\n",
       "       &#x27;2018-11-11T23:39:59.999999744&#x27;, &#x27;2018-11-21T22:22:00.000000000&#x27;,\n",
       "       &#x27;2018-12-01T23:39:59.999999744&#x27;, &#x27;2018-12-11T22:16:00.000000000&#x27;,\n",
       "       &#x27;2018-12-21T22:09:59.999999744&#x27;, &#x27;2018-12-31T21:52:00.000000000&#x27;,\n",
       "       &#x27;2019-01-10T23:03:00.000000256&#x27;, &#x27;2019-01-20T22:51:00.000000000&#x27;,\n",
       "       &#x27;2019-01-30T23:27:00.000000256&#x27;, &#x27;2019-02-09T23:39:00.000000000&#x27;,\n",
       "       &#x27;2019-02-19T23:39:00.000000000&#x27;, &#x27;2019-03-01T23:09:00.000000000&#x27;,\n",
       "       &#x27;2019-03-11T22:51:00.000000000&#x27;, &#x27;2019-03-21T22:09:00.000000000&#x27;,\n",
       "       &#x27;2019-03-31T22:21:00.000000000&#x27;, &#x27;2019-04-10T20:26:00.000000000&#x27;,\n",
       "       &#x27;2019-04-20T17:13:59.999999744&#x27;, &#x27;2019-04-30T21:14:00.000000000&#x27;,\n",
       "       &#x27;2019-05-10T22:14:00.000000000&#x27;, &#x27;2019-05-20T22:25:59.999999744&#x27;,\n",
       "       &#x27;2019-05-30T21:26:00.000000000&#x27;, &#x27;2019-06-09T22:44:00.000000000&#x27;,\n",
       "       &#x27;2019-06-19T21:32:00.000000000&#x27;, &#x27;2019-06-29T22:20:00.000000000&#x27;,\n",
       "       &#x27;2019-07-09T21:19:59.999999744&#x27;, &#x27;2019-07-19T23:13:59.999999744&#x27;,\n",
       "       &#x27;2019-07-29T22:38:00.000000000&#x27;, &#x27;2019-08-08T23:37:00.000000000&#x27;,\n",
       "       &#x27;2019-08-18T23:37:00.000000000&#x27;, &#x27;2019-08-28T22:43:00.000000000&#x27;,\n",
       "       &#x27;2019-09-07T22:07:00.000000000&#x27;, &#x27;2019-09-17T22:49:00.000000000&#x27;,\n",
       "       &#x27;2019-09-27T21:55:00.000000000&#x27;, &#x27;2019-10-07T22:07:00.000000000&#x27;,\n",
       "       &#x27;2019-10-17T21:19:00.000000000&#x27;, &#x27;2019-10-27T21:48:00.000000000&#x27;,\n",
       "       &#x27;2019-11-06T21:48:00.000000000&#x27;, &#x27;2019-11-16T21:48:00.000000000&#x27;,\n",
       "       &#x27;2019-11-26T21:48:00.000000000&#x27;, &#x27;2019-12-06T21:30:00.000000000&#x27;,\n",
       "       &#x27;2019-12-16T23:24:00.000000000&#x27;, &#x27;2019-12-26T22:17:59.999999744&#x27;,\n",
       "       &#x27;2020-01-05T21:30:00.000000000&#x27;, &#x27;2020-01-15T21:17:59.999999744&#x27;,\n",
       "       &#x27;2020-01-25T21:54:00.000000000&#x27;, &#x27;2020-02-04T23:35:59.999999744&#x27;,\n",
       "       &#x27;2020-02-14T21:47:00.000000000&#x27;, &#x27;2020-02-24T22:17:00.000000000&#x27;,\n",
       "       &#x27;2020-03-05T22:04:59.999999744&#x27;, &#x27;2020-03-15T21:53:00.000000000&#x27;,\n",
       "       &#x27;2020-03-25T23:34:59.999999744&#x27;, &#x27;2020-04-04T21:29:00.000000000&#x27;,\n",
       "       &#x27;2020-04-14T21:47:00.000000000&#x27;, &#x27;2020-04-24T21:40:59.999999744&#x27;,\n",
       "       &#x27;2020-05-04T20:47:00.000000000&#x27;, &#x27;2020-05-14T22:04:59.999999744&#x27;,\n",
       "       &#x27;2020-05-24T21:46:00.000000256&#x27;, &#x27;2020-06-03T23:16:00.000000256&#x27;,\n",
       "       &#x27;2020-06-13T22:16:00.000000000&#x27;, &#x27;2020-06-23T20:52:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD_DEEP_PARK_START_STATUS</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-128e3409-ba1f-48af-99e4-455bb582ddfb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-128e3409-ba1f-48af-99e4-455bb582ddfb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-13b84d8c-4c10-4062-b761-dc8346b3e01f' class='xr-var-data-in' type='checkbox'><label for='data-13b84d8c-4c10-4062-b761-dc8346b3e01f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Status of deep park start date of the cycle</dd><dt><span>conventions :</span></dt><dd>Argo reference table 19</dd></dl></div><div class='xr-var-data'><pre>array([nan, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD_ASCENT_START</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-931ff2c1-479e-4a72-92ac-77146c4e66e9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-931ff2c1-479e-4a72-92ac-77146c4e66e9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ace09ea0-fb32-4c04-b0b8-b742759eabff' class='xr-var-data-in' type='checkbox'><label for='data-ace09ea0-fb32-4c04-b0b8-b742759eabff' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Start date of the ascent to the surface</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>conventions :</span></dt><dd>Relative julian days with decimal part (as parts of day)</dd><dt><span>resolution :</span></dt><dd>0.0006944444444444445</dd></dl></div><div class='xr-var-data'><pre>array([                          &#x27;NaT&#x27;, &#x27;2018-10-24T23:37:00.000000000&#x27;,\n",
       "       &#x27;2018-10-26T23:41:00.000000000&#x27;, &#x27;2018-10-28T23:36:00.000000000&#x27;,\n",
       "       &#x27;2018-10-30T23:45:00.000000000&#x27;, &#x27;2018-11-01T23:45:00.000000000&#x27;,\n",
       "       &#x27;2018-11-11T23:45:00.000000000&#x27;, &#x27;2018-11-21T23:43:00.000000256&#x27;,\n",
       "       &#x27;2018-12-01T23:56:00.000000256&#x27;, &#x27;2018-12-11T23:45:00.000000000&#x27;,\n",
       "       &#x27;2018-12-21T23:42:00.000000000&#x27;, &#x27;2018-12-31T23:39:00.000000000&#x27;,\n",
       "       &#x27;2019-01-10T23:42:00.000000256&#x27;, &#x27;2019-01-20T23:35:00.000000256&#x27;,\n",
       "       &#x27;2019-01-30T23:40:00.000000256&#x27;, &#x27;2019-02-09T23:44:00.000000000&#x27;,\n",
       "       &#x27;2019-02-19T23:44:00.000000000&#x27;, &#x27;2019-03-01T23:41:00.000000000&#x27;,\n",
       "       &#x27;2019-03-11T23:34:00.000000256&#x27;, &#x27;2019-03-21T23:45:00.000000256&#x27;,\n",
       "       &#x27;2019-03-31T23:39:00.000000000&#x27;, &#x27;2019-04-11T00:24:00.000000000&#x27;,\n",
       "       &#x27;2019-04-21T00:53:00.000000000&#x27;, &#x27;2019-04-30T23:58:00.000000000&#x27;,\n",
       "       &#x27;2019-05-10T23:42:59.999999744&#x27;, &#x27;2019-05-20T23:33:00.000000000&#x27;,\n",
       "       &#x27;2019-05-30T23:42:00.000000000&#x27;, &#x27;2019-06-09T23:41:00.000000000&#x27;,\n",
       "       &#x27;2019-06-19T23:55:00.000000000&#x27;, &#x27;2019-06-29T23:41:00.000000000&#x27;,\n",
       "       &#x27;2019-07-09T23:49:00.000000000&#x27;, &#x27;2019-07-19T23:37:59.999999744&#x27;,\n",
       "       &#x27;2019-07-29T23:41:00.000000000&#x27;, &#x27;2019-08-08T23:39:00.000000000&#x27;,\n",
       "       &#x27;2019-08-18T23:42:00.000000000&#x27;, &#x27;2019-08-28T23:32:00.000000256&#x27;,\n",
       "       &#x27;2019-09-07T23:39:00.000000000&#x27;, &#x27;2019-09-17T23:34:00.000000000&#x27;,\n",
       "       &#x27;2019-09-27T23:43:00.000000256&#x27;, &#x27;2019-10-07T23:43:00.000000256&#x27;,\n",
       "       &#x27;2019-10-17T23:40:00.000000256&#x27;, &#x27;2019-10-27T23:37:59.999999744&#x27;,\n",
       "       &#x27;2019-11-06T23:39:59.999999744&#x27;, &#x27;2019-11-16T23:37:59.999999744&#x27;,\n",
       "       &#x27;2019-11-26T23:37:59.999999744&#x27;, &#x27;2019-12-06T23:35:59.999999744&#x27;,\n",
       "       &#x27;2019-12-16T23:34:00.000000000&#x27;, &#x27;2019-12-26T23:37:59.999999744&#x27;,\n",
       "       &#x27;2020-01-05T23:39:59.999999744&#x27;, &#x27;2020-01-15T23:40:59.999999744&#x27;,\n",
       "       &#x27;2020-01-25T23:39:59.999999744&#x27;, &#x27;2020-02-04T23:37:59.999999744&#x27;,\n",
       "       &#x27;2020-02-14T23:38:00.000000000&#x27;, &#x27;2020-02-24T23:29:00.000000000&#x27;,\n",
       "       &#x27;2020-03-05T23:36:00.000000000&#x27;, &#x27;2020-03-15T23:39:59.999999744&#x27;,\n",
       "       &#x27;2020-03-25T23:39:59.999999744&#x27;, &#x27;2020-04-04T23:38:00.000000000&#x27;,\n",
       "       &#x27;2020-04-14T23:41:00.000000000&#x27;, &#x27;2020-04-24T23:38:00.000000000&#x27;,\n",
       "       &#x27;2020-05-04T23:44:00.000000000&#x27;, &#x27;2020-05-14T23:39:00.000000000&#x27;,\n",
       "       &#x27;2020-05-24T23:31:00.000000000&#x27;, &#x27;2020-06-03T23:36:00.000000000&#x27;,\n",
       "       &#x27;2020-06-13T23:30:00.000000000&#x27;, &#x27;2020-06-23T23:33:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD_ASCENT_START_STATUS</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0e8d983b-72d8-462f-8383-d5c451151695' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0e8d983b-72d8-462f-8383-d5c451151695' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ee180870-ffff-4b18-a377-ad4112444626' class='xr-var-data-in' type='checkbox'><label for='data-ee180870-ffff-4b18-a377-ad4112444626' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Status of start date of the ascent to the surface</dd><dt><span>conventions :</span></dt><dd>Argo reference table 19</dd></dl></div><div class='xr-var-data'><pre>array([nan, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD_DEEP_ASCENT_START</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c27a55e3-0279-4cf0-861d-2bb062e39381' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c27a55e3-0279-4cf0-861d-2bb062e39381' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-654aef65-51b0-4f2e-9419-a6d79f28c447' class='xr-var-data-in' type='checkbox'><label for='data-654aef65-51b0-4f2e-9419-a6d79f28c447' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Deep ascent start date of the cycle</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>conventions :</span></dt><dd>Relative julian days with decimal part (as parts of day)</dd><dt><span>resolution :</span></dt><dd>0.0006944444444444445</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;,\n",
       "       &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;,\n",
       "       &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;,\n",
       "       &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;,\n",
       "       &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;,\n",
       "       &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;,\n",
       "       &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;, &#x27;NaT&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD_DEEP_ASCENT_START_STATUS</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3207d683-3af9-419b-aa02-60b1482e3803' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3207d683-3af9-419b-aa02-60b1482e3803' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3b541f26-dc87-4814-b6c4-4aef13ea627e' class='xr-var-data-in' type='checkbox'><label for='data-3b541f26-dc87-4814-b6c4-4aef13ea627e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Status of deep ascent start date of the cycle</dd><dt><span>conventions :</span></dt><dd>Argo reference table 19</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD_ASCENT_END</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ef1859f9-1ef4-4a28-a2b4-afc636faace7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ef1859f9-1ef4-4a28-a2b4-afc636faace7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bba199d4-55ad-4c54-9c2c-d7df0548f6bb' class='xr-var-data-in' type='checkbox'><label for='data-bba199d4-55ad-4c54-9c2c-d7df0548f6bb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>End date of ascent to the surface</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>conventions :</span></dt><dd>Relative julian days with decimal part (as parts of day)</dd><dt><span>resolution :</span></dt><dd>0.0006944444444444445</dd></dl></div><div class='xr-var-data'><pre>array([                          &#x27;NaT&#x27;, &#x27;2018-10-25T05:30:00.000000000&#x27;,\n",
       "       &#x27;2018-10-27T05:30:00.000000000&#x27;, &#x27;2018-10-29T05:24:00.000000256&#x27;,\n",
       "       &#x27;2018-10-31T05:28:00.000000000&#x27;, &#x27;2018-11-02T05:32:00.000000256&#x27;,\n",
       "       &#x27;2018-11-12T05:34:00.000000000&#x27;, &#x27;2018-11-22T05:26:00.000000000&#x27;,\n",
       "       &#x27;2018-12-02T05:37:00.000000256&#x27;, &#x27;2018-12-12T05:35:00.000000256&#x27;,\n",
       "       &#x27;2018-12-22T05:33:00.000000000&#x27;, &#x27;2019-01-01T05:26:00.000000000&#x27;,\n",
       "       &#x27;2019-01-11T05:29:00.000000256&#x27;, &#x27;2019-01-21T05:29:00.000000256&#x27;,\n",
       "       &#x27;2019-01-31T05:35:00.000000256&#x27;, &#x27;2019-02-10T05:29:00.000000256&#x27;,\n",
       "       &#x27;2019-02-20T05:43:00.000000256&#x27;, &#x27;2019-03-02T05:36:00.000000256&#x27;,\n",
       "       &#x27;2019-03-12T05:37:00.000000256&#x27;, &#x27;2019-03-22T05:33:00.000000000&#x27;,\n",
       "       &#x27;2019-04-01T05:26:00.000000256&#x27;, &#x27;2019-04-11T05:33:00.000000000&#x27;,\n",
       "       &#x27;2019-04-21T05:42:00.000000000&#x27;, &#x27;2019-05-01T05:36:00.000000000&#x27;,\n",
       "       &#x27;2019-05-11T05:31:59.999999744&#x27;, &#x27;2019-05-21T05:34:00.000000000&#x27;,\n",
       "       &#x27;2019-05-31T05:41:00.000000000&#x27;, &#x27;2019-06-10T05:27:00.000000256&#x27;,\n",
       "       &#x27;2019-06-20T05:39:00.000000000&#x27;, &#x27;2019-06-30T05:42:00.000000000&#x27;,\n",
       "       &#x27;2019-07-10T05:40:00.000000256&#x27;, &#x27;2019-07-20T05:35:00.000000256&#x27;,\n",
       "       &#x27;2019-07-30T05:35:00.000000256&#x27;, &#x27;2019-08-09T05:37:00.000000256&#x27;,\n",
       "       &#x27;2019-08-19T05:47:00.000000256&#x27;, &#x27;2019-08-29T05:25:00.000000000&#x27;,\n",
       "       &#x27;2019-09-08T05:24:00.000000256&#x27;, &#x27;2019-09-18T05:29:00.000000256&#x27;,\n",
       "       &#x27;2019-09-28T05:26:00.000000256&#x27;, &#x27;2019-10-08T05:25:00.000000000&#x27;,\n",
       "       &#x27;2019-10-18T05:30:00.000000000&#x27;, &#x27;2019-10-28T05:15:00.000000000&#x27;,\n",
       "       &#x27;2019-11-07T05:33:00.000000000&#x27;, &#x27;2019-11-17T05:29:00.000000000&#x27;,\n",
       "       &#x27;2019-11-27T05:16:00.000000000&#x27;, &#x27;2019-12-07T05:33:00.000000000&#x27;,\n",
       "       &#x27;2019-12-17T05:24:00.000000000&#x27;, &#x27;2019-12-27T05:31:00.000000000&#x27;,\n",
       "       &#x27;2020-01-06T05:21:00.000000000&#x27;, &#x27;2020-01-16T05:38:00.000000000&#x27;,\n",
       "       &#x27;2020-01-26T05:25:00.000000000&#x27;, &#x27;2020-02-05T05:34:59.999999744&#x27;,\n",
       "       &#x27;2020-02-15T05:29:00.000000000&#x27;, &#x27;2020-02-25T05:18:00.000000000&#x27;,\n",
       "       &#x27;2020-03-06T05:27:00.000000256&#x27;, &#x27;2020-03-16T05:22:00.000000000&#x27;,\n",
       "       &#x27;2020-03-26T05:29:00.000000000&#x27;, &#x27;2020-04-05T05:09:00.000000000&#x27;,\n",
       "       &#x27;2020-04-15T05:18:00.000000000&#x27;, &#x27;2020-04-25T05:37:00.000000256&#x27;,\n",
       "       &#x27;2020-05-05T05:31:00.000000000&#x27;, &#x27;2020-05-15T05:22:00.000000000&#x27;,\n",
       "       &#x27;2020-05-25T05:29:00.000000256&#x27;, &#x27;2020-06-04T05:21:00.000000256&#x27;,\n",
       "       &#x27;2020-06-14T05:17:00.000000000&#x27;, &#x27;2020-06-24T05:20:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD_ASCENT_END_STATUS</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ee70ea63-62e2-48d9-b014-82ca9f25e501' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ee70ea63-62e2-48d9-b014-82ca9f25e501' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ac3d645c-91c5-4431-a61d-f18f92051ab8' class='xr-var-data-in' type='checkbox'><label for='data-ac3d645c-91c5-4431-a61d-f18f92051ab8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Status of end date of ascent to the surface</dd><dt><span>conventions :</span></dt><dd>Argo reference table 19</dd></dl></div><div class='xr-var-data'><pre>array([nan, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD_TRANSMISSION_START</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-eb1d300d-886d-4f6a-bb6f-20206479492d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eb1d300d-886d-4f6a-bb6f-20206479492d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0dbf32e8-a39d-4640-84de-3285c9a17a58' class='xr-var-data-in' type='checkbox'><label for='data-0dbf32e8-a39d-4640-84de-3285c9a17a58' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Start date of transmission</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>conventions :</span></dt><dd>Relative julian days with decimal part (as parts of day)</dd><dt><span>resolution :</span></dt><dd>0.0006944444444444445</dd></dl></div><div class='xr-var-data'><pre>array([                          &#x27;NaT&#x27;, &#x27;2018-10-25T05:44:00.000000000&#x27;,\n",
       "       &#x27;2018-10-27T05:44:00.000000000&#x27;, &#x27;2018-10-29T05:38:00.000000000&#x27;,\n",
       "       &#x27;2018-10-31T05:42:00.000000000&#x27;, &#x27;2018-11-02T05:46:00.000000000&#x27;,\n",
       "       &#x27;2018-11-12T05:47:59.999999744&#x27;, &#x27;2018-11-22T05:39:59.999999744&#x27;,\n",
       "       &#x27;2018-12-02T05:51:00.000000000&#x27;, &#x27;2018-12-12T05:49:00.000000000&#x27;,\n",
       "       &#x27;2018-12-22T05:47:00.000000000&#x27;, &#x27;2019-01-01T05:39:59.999999744&#x27;,\n",
       "       &#x27;2019-01-11T05:43:00.000000256&#x27;, &#x27;2019-01-21T05:43:00.000000256&#x27;,\n",
       "       &#x27;2019-01-31T05:49:00.000000000&#x27;, &#x27;2019-02-10T05:43:00.000000256&#x27;,\n",
       "       &#x27;2019-02-20T05:57:00.000000000&#x27;, &#x27;2019-03-02T05:50:00.000000256&#x27;,\n",
       "       &#x27;2019-03-12T05:51:00.000000000&#x27;, &#x27;2019-03-22T05:47:00.000000000&#x27;,\n",
       "       &#x27;2019-04-01T05:40:00.000000256&#x27;, &#x27;2019-04-11T05:47:00.000000000&#x27;,\n",
       "       &#x27;2019-04-21T05:55:59.999999744&#x27;, &#x27;2019-05-01T05:50:00.000000000&#x27;,\n",
       "       &#x27;2019-05-11T05:45:59.999999744&#x27;, &#x27;2019-05-21T05:47:59.999999744&#x27;,\n",
       "       &#x27;2019-05-31T05:55:00.000000000&#x27;, &#x27;2019-06-10T05:41:00.000000000&#x27;,\n",
       "       &#x27;2019-06-20T05:53:00.000000000&#x27;, &#x27;2019-06-30T05:55:59.999999744&#x27;,\n",
       "       &#x27;2019-07-10T05:54:00.000000000&#x27;, &#x27;2019-07-20T05:49:00.000000000&#x27;,\n",
       "       &#x27;2019-07-30T05:49:00.000000000&#x27;, &#x27;2019-08-09T05:51:00.000000000&#x27;,\n",
       "       &#x27;2019-08-19T06:01:00.000000256&#x27;, &#x27;2019-08-29T05:39:00.000000000&#x27;,\n",
       "       &#x27;2019-09-08T05:38:00.000000000&#x27;, &#x27;2019-09-18T05:43:00.000000256&#x27;,\n",
       "       &#x27;2019-09-28T05:40:00.000000256&#x27;, &#x27;2019-10-08T05:39:00.000000000&#x27;,\n",
       "       &#x27;2019-10-18T05:44:00.000000000&#x27;, &#x27;2019-10-28T05:29:00.000000000&#x27;,\n",
       "       &#x27;2019-11-07T05:47:00.000000000&#x27;, &#x27;2019-11-17T05:42:59.999999744&#x27;,\n",
       "       &#x27;2019-11-27T05:29:59.999999744&#x27;, &#x27;2019-12-07T05:47:00.000000000&#x27;,\n",
       "       &#x27;2019-12-17T05:37:59.999999744&#x27;, &#x27;2019-12-27T05:45:00.000000000&#x27;,\n",
       "       &#x27;2020-01-06T05:34:59.999999744&#x27;, &#x27;2020-01-16T05:52:00.000000000&#x27;,\n",
       "       &#x27;2020-01-26T05:39:00.000000000&#x27;, &#x27;2020-02-05T05:48:59.999999744&#x27;,\n",
       "       &#x27;2020-02-15T05:42:59.999999744&#x27;, &#x27;2020-02-25T05:31:59.999999744&#x27;,\n",
       "       &#x27;2020-03-06T05:41:00.000000000&#x27;, &#x27;2020-03-16T05:36:00.000000000&#x27;,\n",
       "       &#x27;2020-03-26T05:42:59.999999744&#x27;, &#x27;2020-04-05T05:23:00.000000000&#x27;,\n",
       "       &#x27;2020-04-15T05:31:59.999999744&#x27;, &#x27;2020-04-25T05:51:00.000000000&#x27;,\n",
       "       &#x27;2020-05-05T05:45:00.000000000&#x27;, &#x27;2020-05-15T05:36:00.000000000&#x27;,\n",
       "       &#x27;2020-05-25T05:43:00.000000256&#x27;, &#x27;2020-06-04T05:35:00.000000256&#x27;,\n",
       "       &#x27;2020-06-14T05:31:00.000000000&#x27;, &#x27;2020-06-24T05:34:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD_TRANSMISSION_START_STATUS</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-eed9f90f-1749-4138-95f2-cd1a2a60bdb3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eed9f90f-1749-4138-95f2-cd1a2a60bdb3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3d46a2e3-dc32-4d3e-b288-44debc5e7991' class='xr-var-data-in' type='checkbox'><label for='data-3d46a2e3-dc32-4d3e-b288-44debc5e7991' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Status of start date of transmission</dd><dt><span>conventions :</span></dt><dd>Argo reference table 19</dd></dl></div><div class='xr-var-data'><pre>array([nan, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD_FIRST_MESSAGE</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-089a74b0-cce7-4f12-82c4-10164861a20f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-089a74b0-cce7-4f12-82c4-10164861a20f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-551187b6-8204-4451-9046-286c321556ff' class='xr-var-data-in' type='checkbox'><label for='data-551187b6-8204-4451-9046-286c321556ff' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Date of earliest float message received</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>conventions :</span></dt><dd>Relative julian days with decimal part (as parts of day)</dd><dt><span>resolution :</span></dt><dd>1.1574074074074073e-05</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2018-10-23T17:32:27.000004096&#x27;, &#x27;2018-10-25T05:44:56.999999488&#x27;,\n",
       "       &#x27;2018-10-27T05:48:50.000003072&#x27;, &#x27;2018-10-29T06:00:27.000004352&#x27;,\n",
       "       &#x27;2018-10-31T06:12:23.000003328&#x27;, &#x27;2018-11-02T05:49:55.999997184&#x27;,\n",
       "       &#x27;2018-11-12T05:48:11.999997952&#x27;, &#x27;2018-11-22T05:40:09.999997184&#x27;,\n",
       "       &#x27;2018-12-02T06:42:57.000003328&#x27;, &#x27;2018-12-12T06:27:50.999998976&#x27;,\n",
       "       &#x27;2018-12-22T06:13:50.999998720&#x27;, &#x27;2019-01-01T05:58:32.999999232&#x27;,\n",
       "       &#x27;2019-01-11T05:43:50.999995392&#x27;, &#x27;2019-01-21T06:04:21.000002560&#x27;,\n",
       "       &#x27;2019-01-31T05:51:43.000000000&#x27;, &#x27;2019-02-10T05:43:40.000004864&#x27;,\n",
       "       &#x27;2019-02-20T06:20:25.999998720&#x27;, &#x27;2019-03-02T06:03:33.999995904&#x27;,\n",
       "       &#x27;2019-03-12T05:51:20.999998720&#x27;, &#x27;2019-03-22T06:30:28.999996928&#x27;,\n",
       "       &#x27;2019-04-01T06:18:08.000002816&#x27;, &#x27;2019-04-11T06:06:49.000004352&#x27;,\n",
       "       &#x27;2019-04-21T05:56:54.999997696&#x27;, &#x27;2019-05-01T05:52:09.000000000&#x27;,\n",
       "       &#x27;2019-05-11T05:55:38.000002816&#x27;, &#x27;2019-05-21T05:50:04.000004096&#x27;,\n",
       "       &#x27;2019-05-31T06:28:40.000004864&#x27;, &#x27;2019-06-10T06:35:21.000002304&#x27;,\n",
       "       &#x27;2019-06-20T06:21:15.000004352&#x27;, &#x27;2019-06-30T06:10:28.999997952&#x27;,\n",
       "       &#x27;2019-07-10T06:00:29.999998208&#x27;, &#x27;2019-07-20T05:49:03.999997440&#x27;,\n",
       "       &#x27;2019-07-30T06:22:59.999998208&#x27;, &#x27;2019-08-09T06:52:25.999994880&#x27;,\n",
       "       &#x27;2019-08-19T06:21:13.999999744&#x27;, &#x27;2019-08-29T06:20:18.000001792&#x27;,\n",
       "       &#x27;2019-09-08T06:05:43.000000256&#x27;, &#x27;2019-09-18T05:48:37.000003072&#x27;,\n",
       "       &#x27;2019-09-28T05:40:13.999995648&#x27;, &#x27;2019-10-08T05:52:40.000002816&#x27;,\n",
       "       &#x27;2019-10-18T05:45:00.000003328&#x27;, &#x27;2019-10-28T05:30:43.999999488&#x27;,\n",
       "       &#x27;2019-11-07T06:08:11.999996928&#x27;, &#x27;2019-11-17T05:53:52.999998976&#x27;,\n",
       "       &#x27;2019-11-27T05:36:52.000004864&#x27;, &#x27;2019-12-07T06:20:05.000002048&#x27;,\n",
       "       &#x27;2019-12-17T06:08:26.999995904&#x27;, &#x27;2019-12-27T05:56:11.999999488&#x27;,\n",
       "       &#x27;2020-01-06T05:45:22.000004608&#x27;, &#x27;2020-01-16T05:56:06.000001792&#x27;,\n",
       "       &#x27;2020-01-26T05:40:31.000003840&#x27;, &#x27;2020-02-05T06:46:40.999995392&#x27;,\n",
       "       &#x27;2020-02-15T06:37:18.999995904&#x27;, &#x27;2020-02-25T06:24:39.000004352&#x27;,\n",
       "       &#x27;2020-03-06T06:13:56.000001792&#x27;, &#x27;2020-03-16T06:01:19.999998464&#x27;,\n",
       "       &#x27;2020-03-26T05:44:16.999995136&#x27;, &#x27;2020-04-05T05:29:09.999996160&#x27;,\n",
       "       &#x27;2020-04-15T05:32:33.000001536&#x27;, &#x27;2020-04-25T06:35:21.000002304&#x27;,\n",
       "       &#x27;2020-05-05T06:19:00.000002560&#x27;, &#x27;2020-05-15T06:05:22.000003584&#x27;,\n",
       "       &#x27;2020-05-25T05:47:34.999997440&#x27;, &#x27;2020-06-04T05:36:38.999994880&#x27;,\n",
       "       &#x27;2020-06-14T05:52:07.000000768&#x27;, &#x27;2020-06-24T05:41:10.000003584&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD_FIRST_MESSAGE_STATUS</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-de290618-769f-4395-8c84-4f20b5d941cc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-de290618-769f-4395-8c84-4f20b5d941cc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cd91d7dc-edbe-4c92-bb33-a672aa5ea05b' class='xr-var-data-in' type='checkbox'><label for='data-cd91d7dc-edbe-4c92-bb33-a672aa5ea05b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Status of date of earliest float message received</dd><dt><span>conventions :</span></dt><dd>Argo reference table 19</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;,\n",
       "       b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;,\n",
       "       b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;,\n",
       "       b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;,\n",
       "       b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;,\n",
       "       b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD_FIRST_LOCATION</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-78478863-0a72-437c-b62c-990829dd486a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-78478863-0a72-437c-b62c-990829dd486a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cd757656-2389-4cd9-91a1-f30a1f226914' class='xr-var-data-in' type='checkbox'><label for='data-cd757656-2389-4cd9-91a1-f30a1f226914' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Date of earliest location</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>conventions :</span></dt><dd>Relative julian days with decimal part (as parts of day)</dd><dt><span>resolution :</span></dt><dd>1.1574074074074073e-05</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2018-10-23T17:32:27.000004096&#x27;, &#x27;2018-10-25T05:45:54.000002048&#x27;,\n",
       "       &#x27;2018-10-27T05:54:48.999997184&#x27;, &#x27;2018-10-29T06:26:42.999995648&#x27;,\n",
       "       &#x27;2018-10-31T06:12:45.999999232&#x27;, &#x27;2018-11-02T05:50:15.999999232&#x27;,\n",
       "       &#x27;2018-11-12T05:55:29.000001280&#x27;, &#x27;2018-11-22T05:44:34.000003584&#x27;,\n",
       "       &#x27;2018-12-02T06:44:58.000000768&#x27;, &#x27;2018-12-12T06:29:30.999999744&#x27;,\n",
       "       &#x27;2018-12-22T06:13:50.999998720&#x27;, &#x27;2019-01-01T06:00:07.999996928&#x27;,\n",
       "       &#x27;2019-01-11T05:45:32.999995392&#x27;, &#x27;2019-01-21T06:04:21.000002560&#x27;,\n",
       "       &#x27;2019-01-31T05:58:34.000003840&#x27;, &#x27;2019-02-10T05:51:17.000000256&#x27;,\n",
       "       &#x27;2019-02-20T06:21:19.999997440&#x27;, &#x27;2019-03-02T06:03:51.999998976&#x27;,\n",
       "       &#x27;2019-03-12T05:51:39.999996160&#x27;, &#x27;2019-03-22T07:15:28.000002304&#x27;,\n",
       "       &#x27;2019-04-01T06:19:17.000000768&#x27;, &#x27;2019-04-11T06:07:06.999997440&#x27;,\n",
       "       &#x27;2019-04-21T06:02:13.000002816&#x27;, &#x27;2019-05-01T05:53:28.999998464&#x27;,\n",
       "       &#x27;2019-05-11T06:31:27.000004096&#x27;, &#x27;2019-05-21T06:59:39.000000000&#x27;,\n",
       "       &#x27;2019-05-31T06:28:57.999997696&#x27;, &#x27;2019-06-10T06:50:15.999995904&#x27;,\n",
       "       &#x27;2019-06-20T06:21:54.999998720&#x27;, &#x27;2019-06-30T06:17:01.999998720&#x27;,\n",
       "       &#x27;2019-07-10T06:00:53.000004096&#x27;, &#x27;2019-07-20T05:49:44.000001792&#x27;,\n",
       "       &#x27;2019-07-30T06:25:39.000000768&#x27;, &#x27;2019-08-09T06:54:16.999996416&#x27;,\n",
       "       &#x27;2019-08-19T06:36:54.000000768&#x27;, &#x27;2019-08-29T06:39:57.999998464&#x27;,\n",
       "       &#x27;2019-09-08T06:07:02.000004352&#x27;, &#x27;2019-09-18T05:49:38.000004096&#x27;,\n",
       "       &#x27;2019-09-28T05:43:20.999997184&#x27;, &#x27;2019-10-08T05:58:31.000000000&#x27;,\n",
       "       &#x27;2019-10-18T05:48:56.999995136&#x27;, &#x27;2019-10-28T05:35:10.999999488&#x27;,\n",
       "       &#x27;2019-11-07T06:09:29.000001536&#x27;, &#x27;2019-11-17T05:55:32.999999744&#x27;,\n",
       "       &#x27;2019-11-27T05:40:05.000004096&#x27;, &#x27;2019-12-07T06:26:51.000002560&#x27;,\n",
       "       &#x27;2019-12-17T06:15:19.000004352&#x27;, &#x27;2019-12-27T06:03:07.000001536&#x27;,\n",
       "       &#x27;2020-01-06T05:51:33.000004096&#x27;, &#x27;2020-01-16T05:59:35.000004864&#x27;,\n",
       "       &#x27;2020-01-26T05:42:45.000001280&#x27;, &#x27;2020-02-05T06:48:05.999996928&#x27;,\n",
       "       &#x27;2020-02-15T06:50:26.999996672&#x27;, &#x27;2020-02-25T06:25:35.000002304&#x27;,\n",
       "       &#x27;2020-03-06T06:17:38.999999232&#x27;, &#x27;2020-03-16T06:02:50.000003328&#x27;,\n",
       "       &#x27;2020-03-26T05:44:38.000002048&#x27;, &#x27;2020-04-05T05:29:50.999995136&#x27;,\n",
       "       &#x27;2020-04-15T05:34:50.000002816&#x27;, &#x27;2020-04-25T06:38:25.000000000&#x27;,\n",
       "       &#x27;2020-05-05T06:22:02.999995648&#x27;, &#x27;2020-05-15T06:06:57.999995904&#x27;,\n",
       "       &#x27;2020-05-25T05:48:35.000003840&#x27;, &#x27;2020-06-04T06:11:05.999998464&#x27;,\n",
       "       &#x27;2020-06-14T05:52:29.999996672&#x27;, &#x27;2020-06-24T05:44:17.999999744&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD_FIRST_LOCATION_STATUS</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d289b298-725c-4adb-85d9-73592b05c959' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d289b298-725c-4adb-85d9-73592b05c959' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2e510c3f-2a91-4ddf-868c-59b1091a384f' class='xr-var-data-in' type='checkbox'><label for='data-2e510c3f-2a91-4ddf-868c-59b1091a384f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Status of date of earliest location</dd><dt><span>conventions :</span></dt><dd>Argo reference table 19</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;,\n",
       "       b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;,\n",
       "       b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;,\n",
       "       b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;,\n",
       "       b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;,\n",
       "       b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD_LAST_LOCATION</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bbb5a3dc-2c1e-449a-81a6-85019644bedb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bbb5a3dc-2c1e-449a-81a6-85019644bedb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f9edd95e-3285-4dd9-b369-0a93ecb0c666' class='xr-var-data-in' type='checkbox'><label for='data-f9edd95e-3285-4dd9-b369-0a93ecb0c666' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Date of latest location</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>conventions :</span></dt><dd>Relative julian days with decimal part (as parts of day)</dd><dt><span>resolution :</span></dt><dd>1.1574074074074073e-05</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2018-10-23T19:37:17.999997952&#x27;, &#x27;2018-10-25T12:35:15.000004608&#x27;,\n",
       "       &#x27;2018-10-27T12:30:28.000002304&#x27;, &#x27;2018-10-29T11:49:22.000000512&#x27;,\n",
       "       &#x27;2018-10-31T12:10:45.999996416&#x27;, &#x27;2018-11-02T12:06:14.999997696&#x27;,\n",
       "       &#x27;2018-11-12T11:59:50.000003840&#x27;, &#x27;2018-11-22T11:52:27.999997440&#x27;,\n",
       "       &#x27;2018-12-02T11:44:38.000002048&#x27;, &#x27;2018-12-12T11:37:02.999995648&#x27;,\n",
       "       &#x27;2018-12-22T12:36:11.000002816&#x27;, &#x27;2019-01-01T12:29:08.000003840&#x27;,\n",
       "       &#x27;2019-01-11T12:21:26.999999744&#x27;, &#x27;2019-01-21T12:14:22.999996160&#x27;,\n",
       "       &#x27;2019-01-31T12:07:06.000002816&#x27;, &#x27;2019-02-10T12:32:58.000003584&#x27;,\n",
       "       &#x27;2019-02-20T13:06:26.000005120&#x27;, &#x27;2019-03-02T12:57:12.999997184&#x27;,\n",
       "       &#x27;2019-03-12T12:53:37.999996672&#x27;, &#x27;2019-03-22T12:43:27.000001536&#x27;,\n",
       "       &#x27;2019-04-01T12:36:26.999996416&#x27;, &#x27;2019-04-11T12:27:26.999998464&#x27;,\n",
       "       &#x27;2019-04-21T12:20:33.000001024&#x27;, &#x27;2019-05-01T12:13:28.999997440&#x27;,\n",
       "       &#x27;2019-05-11T12:05:56.000000256&#x27;, &#x27;2019-05-21T11:59:19.999995648&#x27;,\n",
       "       &#x27;2019-05-31T11:52:18.999995904&#x27;, &#x27;2019-06-10T12:20:55.999996928&#x27;,\n",
       "       &#x27;2019-06-20T12:13:32.999995904&#x27;, &#x27;2019-06-30T12:04:30.000004096&#x27;,\n",
       "       &#x27;2019-07-10T12:29:51.000001792&#x27;, &#x27;2019-07-20T13:02:01.000004096&#x27;,\n",
       "       &#x27;2019-07-30T11:43:40.999999232&#x27;, &#x27;2019-08-09T12:45:24.000000512&#x27;,\n",
       "       &#x27;2019-08-19T12:38:12.000000256&#x27;, &#x27;2019-08-29T12:31:18.999997184&#x27;,\n",
       "       &#x27;2019-09-08T12:24:02.000003840&#x27;, &#x27;2019-09-18T12:17:18.000002560&#x27;,\n",
       "       &#x27;2019-09-28T12:09:51.000003072&#x27;, &#x27;2019-10-08T12:37:01.000003072&#x27;,\n",
       "       &#x27;2019-10-18T12:30:15.999996928&#x27;, &#x27;2019-10-28T12:22:22.999997696&#x27;,\n",
       "       &#x27;2019-11-07T12:15:27.999995648&#x27;, &#x27;2019-11-17T12:07:34.000001792&#x27;,\n",
       "       &#x27;2019-11-27T12:00:07.999996928&#x27;, &#x27;2019-12-07T12:24:04.000003072&#x27;,\n",
       "       &#x27;2019-12-17T12:52:41.999998720&#x27;, &#x27;2019-12-27T12:43:29.000000768&#x27;,\n",
       "       &#x27;2020-01-06T12:34:20.999995904&#x27;, &#x27;2020-01-16T12:23:27.000002560&#x27;,\n",
       "       &#x27;2020-01-26T12:39:15.000000512&#x27;, &#x27;2020-02-05T12:18:56.999998720&#x27;,\n",
       "       &#x27;2020-02-15T12:00:14.999999232&#x27;, &#x27;2020-02-25T12:41:19.999996416&#x27;,\n",
       "       &#x27;2020-03-06T12:33:54.999996160&#x27;, &#x27;2020-03-16T12:52:41.999998720&#x27;,\n",
       "       &#x27;2020-03-26T12:32:56.999998720&#x27;, &#x27;2020-04-05T12:16:48.999998976&#x27;,\n",
       "       &#x27;2020-04-15T12:05:09.999998208&#x27;, &#x27;2020-04-25T12:52:36.000001024&#x27;,\n",
       "       &#x27;2020-05-05T12:45:22.999995904&#x27;, &#x27;2020-05-15T12:47:13.999997440&#x27;,\n",
       "       &#x27;2020-05-25T12:31:35.000001024&#x27;, &#x27;2020-06-04T12:23:38.999997952&#x27;,\n",
       "       &#x27;2020-06-14T12:16:30.000001280&#x27;, &#x27;2020-06-24T12:09:08.000004864&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD_LAST_LOCATION_STATUS</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1b0b5540-b3dc-4f12-a3bd-221e72de42a7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1b0b5540-b3dc-4f12-a3bd-221e72de42a7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-abb32dfd-5155-4e5e-bfb6-55514d422c94' class='xr-var-data-in' type='checkbox'><label for='data-abb32dfd-5155-4e5e-bfb6-55514d422c94' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Status of date of latest location</dd><dt><span>conventions :</span></dt><dd>Argo reference table 19</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;,\n",
       "       b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;,\n",
       "       b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;,\n",
       "       b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;,\n",
       "       b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;,\n",
       "       b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD_LAST_MESSAGE</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-27056c49-17bc-43c4-b2f5-0449c93eed8a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-27056c49-17bc-43c4-b2f5-0449c93eed8a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d1436925-30ef-4321-89d3-451b9a21fba6' class='xr-var-data-in' type='checkbox'><label for='data-d1436925-30ef-4321-89d3-451b9a21fba6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Date of latest float message received</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>conventions :</span></dt><dd>Relative julian days with decimal part (as parts of day)</dd><dt><span>resolution :</span></dt><dd>1.1574074074074073e-05</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2018-10-23T19:48:41.999999488&#x27;, &#x27;2018-10-25T12:41:30.999996928&#x27;,\n",
       "       &#x27;2018-10-27T12:37:25.999998208&#x27;, &#x27;2018-10-29T11:59:06.999995904&#x27;,\n",
       "       &#x27;2018-10-31T12:51:07.000001024&#x27;, &#x27;2018-11-02T12:15:12.999996416&#x27;,\n",
       "       &#x27;2018-11-12T12:07:26.999999488&#x27;, &#x27;2018-11-22T12:01:29.000000000&#x27;,\n",
       "       &#x27;2018-12-02T11:53:36.000000768&#x27;, &#x27;2018-12-12T12:43:49.999997440&#x27;,\n",
       "       &#x27;2018-12-22T12:42:50.999995648&#x27;, &#x27;2019-01-01T12:35:49.999995904&#x27;,\n",
       "       &#x27;2019-01-11T12:30:28.999996928&#x27;, &#x27;2019-01-21T12:23:40.000002560&#x27;,\n",
       "       &#x27;2019-01-31T12:44:26.999997952&#x27;, &#x27;2019-02-10T12:38:17.999997696&#x27;,\n",
       "       &#x27;2019-02-20T13:06:26.000005120&#x27;, &#x27;2019-03-02T12:58:54.000002560&#x27;,\n",
       "       &#x27;2019-03-12T12:54:01.999997184&#x27;, &#x27;2019-03-22T12:46:29.000000000&#x27;,\n",
       "       &#x27;2019-04-01T12:41:30.999996928&#x27;, &#x27;2019-04-11T12:34:46.000001024&#x27;,\n",
       "       &#x27;2019-04-21T12:29:32.999998976&#x27;, &#x27;2019-05-01T12:22:48.000003072&#x27;,\n",
       "       &#x27;2019-05-11T12:44:22.000004864&#x27;, &#x27;2019-05-21T12:09:18.000001024&#x27;,\n",
       "       &#x27;2019-05-31T12:34:36.999999488&#x27;, &#x27;2019-06-10T12:27:54.000002816&#x27;,\n",
       "       &#x27;2019-06-20T12:21:54.000004096&#x27;, &#x27;2019-06-30T12:35:15.000004608&#x27;,\n",
       "       &#x27;2019-07-10T12:29:51.000001792&#x27;, &#x27;2019-07-20T13:02:59.999995904&#x27;,\n",
       "       &#x27;2019-07-30T12:56:57.000003584&#x27;, &#x27;2019-08-09T12:51:05.999996416&#x27;,\n",
       "       &#x27;2019-08-19T12:45:09.999996160&#x27;, &#x27;2019-08-29T12:38:19.999996928&#x27;,\n",
       "       &#x27;2019-09-08T12:32:25.000001536&#x27;, &#x27;2019-09-18T12:25:20.000003328&#x27;,\n",
       "       &#x27;2019-09-28T12:47:28.999996416&#x27;, &#x27;2019-10-08T12:40:03.000001536&#x27;,\n",
       "       &#x27;2019-10-18T12:36:59.999998464&#x27;, &#x27;2019-10-28T12:30:43.999996160&#x27;,\n",
       "       &#x27;2019-11-07T12:24:47.000001280&#x27;, &#x27;2019-11-17T12:17:16.000003328&#x27;,\n",
       "       &#x27;2019-11-27T12:30:11.999998720&#x27;, &#x27;2019-12-07T13:04:41.999995904&#x27;,\n",
       "       &#x27;2019-12-17T12:57:45.999999232&#x27;, &#x27;2019-12-27T12:50:07.000004608&#x27;,\n",
       "       &#x27;2020-01-06T12:42:39.000000256&#x27;, &#x27;2020-01-16T12:33:26.000002560&#x27;,\n",
       "       &#x27;2020-01-26T12:41:50.999999232&#x27;, &#x27;2020-02-05T12:55:13.999998976&#x27;,\n",
       "       &#x27;2020-02-15T12:53:54.000000256&#x27;, &#x27;2020-02-25T12:48:38.000004352&#x27;,\n",
       "       &#x27;2020-03-06T12:41:58.000001536&#x27;, &#x27;2020-03-16T12:56:39.999995136&#x27;,\n",
       "       &#x27;2020-03-26T12:41:34.000000768&#x27;, &#x27;2020-04-05T12:25:44.999998464&#x27;,\n",
       "       &#x27;2020-04-15T12:59:50.000000512&#x27;, &#x27;2020-04-25T13:00:38.999996416&#x27;,\n",
       "       &#x27;2020-05-05T13:09:39.999998976&#x27;, &#x27;2020-05-15T12:55:17.999997440&#x27;,\n",
       "       &#x27;2020-05-25T12:39:33.999997952&#x27;, &#x27;2020-06-04T12:33:56.000000768&#x27;,\n",
       "       &#x27;2020-06-14T12:27:30.999996928&#x27;, &#x27;2020-06-24T13:00:23.000002560&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD_LAST_MESSAGE_STATUS</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d0e7a2a3-c4a3-46e0-bb23-0cc18771ab96' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d0e7a2a3-c4a3-46e0-bb23-0cc18771ab96' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-52fca234-fb6c-4c10-9859-f7d3f119f6f8' class='xr-var-data-in' type='checkbox'><label for='data-52fca234-fb6c-4c10-9859-f7d3f119f6f8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Status of date of latest float message received</dd><dt><span>conventions :</span></dt><dd>Argo reference table 19</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;,\n",
       "       b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;,\n",
       "       b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;,\n",
       "       b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;,\n",
       "       b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;,\n",
       "       b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;, b&#x27;4&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD_TRANSMISSION_END</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-51df5a7f-4832-43b2-8870-ac3abc599d6d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-51df5a7f-4832-43b2-8870-ac3abc599d6d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3d34c6dc-1733-4ce2-a653-25980e448047' class='xr-var-data-in' type='checkbox'><label for='data-3d34c6dc-1733-4ce2-a653-25980e448047' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Transmission end date</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>conventions :</span></dt><dd>Relative julian days with decimal part (as parts of day)</dd><dt><span>resolution :</span></dt><dd>0.0006944444444444445</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2018-10-23T19:49:00.000000000&#x27;, &#x27;2018-10-25T13:15:00.000000000&#x27;,\n",
       "       &#x27;2018-10-27T13:20:00.000000000&#x27;, &#x27;2018-10-29T13:12:00.000000000&#x27;,\n",
       "       &#x27;2018-10-31T13:17:59.999999744&#x27;, &#x27;2018-11-02T13:22:00.000000000&#x27;,\n",
       "       &#x27;2018-11-12T13:16:00.000000000&#x27;, &#x27;2018-11-22T13:08:00.000000000&#x27;,\n",
       "       &#x27;2018-12-02T13:19:00.000000000&#x27;, &#x27;2018-12-12T13:17:59.999999744&#x27;,\n",
       "       &#x27;2018-12-22T13:15:00.000000000&#x27;, &#x27;2019-01-01T13:07:00.000000256&#x27;,\n",
       "       &#x27;2019-01-11T13:11:00.000000000&#x27;, &#x27;2019-01-21T13:19:00.000000000&#x27;,\n",
       "       &#x27;2019-01-31T13:24:00.000000000&#x27;, &#x27;2019-02-10T13:11:00.000000000&#x27;,\n",
       "       &#x27;2019-02-20T13:33:00.000000256&#x27;, &#x27;2019-03-02T13:18:00.000000256&#x27;,\n",
       "       &#x27;2019-03-12T13:19:00.000000000&#x27;, &#x27;2019-03-22T13:16:00.000000000&#x27;,\n",
       "       &#x27;2019-04-01T13:14:00.000000000&#x27;, &#x27;2019-04-11T13:20:00.000000000&#x27;,\n",
       "       &#x27;2019-04-21T13:32:00.000000000&#x27;, &#x27;2019-05-01T13:24:00.000000000&#x27;,\n",
       "       &#x27;2019-05-11T13:14:00.000000000&#x27;, &#x27;2019-05-21T13:23:00.000000000&#x27;,\n",
       "       &#x27;2019-05-31T13:23:00.000000000&#x27;, &#x27;2019-06-10T13:09:00.000000000&#x27;,\n",
       "       &#x27;2019-06-20T13:22:00.000000000&#x27;, &#x27;2019-06-30T13:24:00.000000000&#x27;,\n",
       "       &#x27;2019-07-10T13:22:00.000000000&#x27;, &#x27;2019-07-20T13:24:00.000000000&#x27;,\n",
       "       &#x27;2019-07-30T13:17:00.000000000&#x27;, &#x27;2019-08-09T13:20:00.000000000&#x27;,\n",
       "       &#x27;2019-08-19T13:29:00.000000000&#x27;, &#x27;2019-08-29T13:14:00.000000000&#x27;,\n",
       "       &#x27;2019-09-08T13:06:00.000000000&#x27;, &#x27;2019-09-18T13:11:00.000000000&#x27;,\n",
       "       &#x27;2019-09-28T13:08:00.000000000&#x27;, &#x27;2019-10-08T13:08:00.000000000&#x27;,\n",
       "       &#x27;2019-10-18T13:12:00.000000000&#x27;, &#x27;2019-10-28T13:04:00.000000000&#x27;,\n",
       "       &#x27;2019-11-07T13:15:00.000000000&#x27;, &#x27;2019-11-17T13:10:59.999999744&#x27;,\n",
       "       &#x27;2019-11-27T12:59:00.000000000&#x27;, &#x27;2019-12-07T13:15:00.000000000&#x27;,\n",
       "       &#x27;2019-12-17T13:05:59.999999744&#x27;, &#x27;2019-12-27T13:12:59.999999744&#x27;,\n",
       "       &#x27;2020-01-06T13:02:59.999999744&#x27;, &#x27;2020-01-16T13:20:00.000000000&#x27;,\n",
       "       &#x27;2020-01-26T13:07:00.000000000&#x27;, &#x27;2020-02-05T13:16:00.000000000&#x27;,\n",
       "       &#x27;2020-02-15T13:11:00.000000000&#x27;, &#x27;2020-02-25T13:00:00.000000000&#x27;,\n",
       "       &#x27;2020-03-06T13:09:00.000000000&#x27;, &#x27;2020-03-16T13:04:59.999999744&#x27;,\n",
       "       &#x27;2020-03-26T13:11:00.000000000&#x27;, &#x27;2020-04-05T12:51:00.000000000&#x27;,\n",
       "       &#x27;2020-04-15T13:00:00.000000000&#x27;, &#x27;2020-04-25T13:19:00.000000000&#x27;,\n",
       "       &#x27;2020-05-05T13:12:59.999999744&#x27;, &#x27;2020-05-15T13:03:00.000000000&#x27;,\n",
       "       &#x27;2020-05-25T13:11:00.000000000&#x27;, &#x27;2020-06-04T13:03:00.000000000&#x27;,\n",
       "       &#x27;2020-06-14T13:06:00.000000000&#x27;,                           &#x27;NaT&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>JULD_TRANSMISSION_END_STATUS</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3fe81837-7b3a-42c9-8663-cd16ed6b8aa9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3fe81837-7b3a-42c9-8663-cd16ed6b8aa9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9aa25d90-12aa-4775-84d7-83228dd7e1d0' class='xr-var-data-in' type='checkbox'><label for='data-9aa25d90-12aa-4775-84d7-83228dd7e1d0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Status of transmission end date</dd><dt><span>conventions :</span></dt><dd>Argo reference table 19</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;,\n",
       "       b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;2&#x27;, b&#x27;9&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CLOCK_OFFSET</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-81e62652-87b6-47fd-b8c0-774ad9a34674' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-81e62652-87b6-47fd-b8c0-774ad9a34674' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bda4e24d-acad-4d08-a4ec-9add0327f40d' class='xr-var-data-in' type='checkbox'><label for='data-bda4e24d-acad-4d08-a4ec-9add0327f40d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time of float clock drift</dd><dt><span>conventions :</span></dt><dd>Days with decimal part (as parts of day)</dd></dl></div><div class='xr-var-data'><pre>array([480000038400, 480000038400, 480000038400, 480000038400, 480000038400,\n",
       "       480000038400, 480000038400, 480000038400, 480000038400, 480000038400,\n",
       "       480000038400, 480000038400, 540000000000, 540000000000, 540000000000,\n",
       "       540000000000, 540000000000, 540000000000, 540000000000, 540000000000,\n",
       "       540000000000, 599999961600, 599999961600, 599999961600, 599999961600,\n",
       "       599999961600, 599999961600, 599999961600, 599999961600, 599999961600,\n",
       "       599999961600, 599999961600, 599999961600, 660000009600, 660000009600,\n",
       "       660000009600, 660000009600, 660000009600, 660000009600, 660000009600,\n",
       "       660000009600, 719999971200, 719999971200, 719999971200, 719999971200,\n",
       "       719999971200, 719999971200, 719999971200, 719999971200, 719999971200,\n",
       "       719999971200, 719999971200, 780000019200, 780000019200, 780000019200,\n",
       "       780000019200, 780000019200, 780000019200, 780000019200, 780000019200,\n",
       "       780000019200, 780000019200, 839999980800, 839999980800, 839999980800,\n",
       "       839999980800], dtype=&#x27;timedelta64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>GROUNDED</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-88ec071e-a253-40f9-b782-e269619a80e8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-88ec071e-a253-40f9-b782-e269619a80e8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ffb72da0-9aa2-4002-80ab-54a45c5bb14a' class='xr-var-data-in' type='checkbox'><label for='data-ffb72da0-9aa2-4002-80ab-54a45c5bb14a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Did the profiler touch the ground for that cycle?</dd><dt><span>conventions :</span></dt><dd>Argo reference table 20</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;,\n",
       "       b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;Y&#x27;, b&#x27;Y&#x27;, b&#x27;Y&#x27;,\n",
       "       b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;Y&#x27;, b&#x27;N&#x27;, b&#x27;Y&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;,\n",
       "       b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;,\n",
       "       b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;,\n",
       "       b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;, b&#x27;N&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>REPRESENTATIVE_PARK_PRESSURE</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-88bef4cc-2155-476d-a299-0610a980a86b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-88bef4cc-2155-476d-a299-0610a980a86b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9d0ef564-a5cf-4ed1-a813-97c2adc366a3' class='xr-var-data-in' type='checkbox'><label for='data-9d0ef564-a5cf-4ed1-a813-97c2adc366a3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Best pressure value during park phase</dd><dt><span>units :</span></dt><dd>decibar</dd></dl></div><div class='xr-var-data'><pre>array([       nan,        nan,  985.     ,  991.     ,  974.     ,  982.     ,\n",
       "       1006.58826, 1032.4117 , 1022.4706 ,  981.35297, 1015.7059 , 1017.82355,\n",
       "        985.2941 , 1007.375  , 1018.17645,  999.94116,  988.58826, 1016.05884,\n",
       "        995.64703, 1006.58826,  982.     ,  743.7059 , 1007.58826, 1017.94116,\n",
       "       1011.5294 , 1009.41174, 1022.5    , 1022.     , 1017.64703, 1029.1765 ,\n",
       "        994.25   , 1029.8235 , 1001.     ,  991.     ,  986.64703,  991.17645,\n",
       "        988.1177 ,  993.05884, 1032.6471 , 1021.58826, 1038.1765 , 1020.41174,\n",
       "        985.     , 1000.94116, 1013.05884, 1034.4117 ,  996.64703, 1009.05884,\n",
       "       1026.4706 , 1012.05884,  998.7647 ,  981.4706 , 1025.     , 1027.1177 ,\n",
       "       1020.2941 , 1010.94116, 1017.82355, 1025.1765 , 1021.94116,  991.1177 ,\n",
       "       1011.2353 ,  995.17645,  989.8823 , 1014.8823 , 1009.58826, 1028.3529 ],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>REPRESENTATIVE_PARK_PRESSURE_STATUS</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6635d813-27f7-45a6-837a-fa177bb3c50a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6635d813-27f7-45a6-837a-fa177bb3c50a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-815d55b5-213b-4f19-8e28-e6962e13293b' class='xr-var-data-in' type='checkbox'><label for='data-815d55b5-213b-4f19-8e28-e6962e13293b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Status of best pressure value during park phase</dd><dt><span>conventions :</span></dt><dd>Argo reference table 21</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;,\n",
       "       b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;,\n",
       "       b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;,\n",
       "       b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;,\n",
       "       b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;,\n",
       "       b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;, b&#x27;1&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CONFIG_MISSION_NUMBER</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-63d17ae0-ccec-4df7-b971-0ccab4ba3102' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-63d17ae0-ccec-4df7-b971-0ccab4ba3102' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f8e8a04d-7620-4a63-ba5e-6f75a05f50b5' class='xr-var-data-in' type='checkbox'><label for='data-f8e8a04d-7620-4a63-ba5e-6f75a05f50b5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Unique number denoting the missions performed by the float</dd><dt><span>conventions :</span></dt><dd>1...N, 1 : first complete mission</dd></dl></div><div class='xr-var-data'><pre>array([nan,  1.,  2.,  2.,  2.,  2.,  3.,  3.,  3.,  3.,  3.,  3.,  3.,  3.,\n",
       "        3.,  3.,  3.,  3.,  3.,  3.,  3.,  3.,  3.,  3.,  3.,  3.,  3.,  3.,\n",
       "        3.,  3.,  3.,  3.,  3.,  3.,  3.,  3.,  3.,  3.,  3.,  3.,  3.,  3.,\n",
       "        3.,  3.,  3.,  3.,  3.,  3.,  3.,  3.,  3.,  3.,  3.,  3.,  3.,  3.,\n",
       "        3.,  3.,  3.,  3.,  3.,  3.,  3.,  3.,  3.,  3.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CYCLE_NUMBER_INDEX</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-67a4cb28-c2bd-4ed8-9f7c-bcd03b5cdeb8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-67a4cb28-c2bd-4ed8-9f7c-bcd03b5cdeb8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ada55aeb-81f6-418c-bde2-0175445b865f' class='xr-var-data-in' type='checkbox'><label for='data-ada55aeb-81f6-418c-bde2-0175445b865f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Cycle number that corresponds to the current index</dd><dt><span>conventions :</span></dt><dd>0...N, 0 : launch cycle, 1 : first complete cycle</dd></dl></div><div class='xr-var-data'><pre>array([ 0.,  1.,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10., 11., 12., 13.,\n",
       "       14., 15., 16., 17., 18., 19., 20., 21., 22., 23., 24., 25., 26., 27.,\n",
       "       28., 29., 30., 31., 32., 33., 34., 35., 36., 37., 38., 39., 40., 41.,\n",
       "       42., 43., 44., 45., 46., 47., 48., 49., 50., 51., 52., 53., 54., 55.,\n",
       "       56., 57., 58., 59., 60., 61., 62., 63., 64., 65.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CYCLE_NUMBER_INDEX_ADJUSTED</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b8d630d9-bd26-45e9-8cf7-8222fdf8c6a8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b8d630d9-bd26-45e9-8cf7-8222fdf8c6a8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b4a74bc5-7e8d-40d6-bdc9-61e3127d7dce' class='xr-var-data-in' type='checkbox'><label for='data-b4a74bc5-7e8d-40d6-bdc9-61e3127d7dce' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Adjusted cycle number that corresponds to the current index</dd><dt><span>conventions :</span></dt><dd>0...N, 0 : launch cycle, 1 : first complete cycle</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DATA_MODE</span></div><div class='xr-var-dims'>(N_CYCLE)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8b5818b0-ba92-467d-b95a-c0a101fdb797' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8b5818b0-ba92-467d-b95a-c0a101fdb797' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-068b1afe-6e47-46fc-97f3-c1e48b82eb80' class='xr-var-data-in' type='checkbox'><label for='data-068b1afe-6e47-46fc-97f3-c1e48b82eb80' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Delayed mode or real time data</dd><dt><span>conventions :</span></dt><dd>R : real time; D : delayed mode; A : real time with adjustment</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;,\n",
       "       b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;,\n",
       "       b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;,\n",
       "       b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;,\n",
       "       b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;,\n",
       "       b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;, b&#x27;A&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HISTORY_INSTITUTION</span></div><div class='xr-var-dims'>(N_HISTORY)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-79f8dfe7-614d-4fe5-be1b-1576f5cb8bfe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-79f8dfe7-614d-4fe5-be1b-1576f5cb8bfe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0e3e4cfa-fb49-436c-b236-01a829b80fe8' class='xr-var-data-in' type='checkbox'><label for='data-0e3e4cfa-fb49-436c-b236-01a829b80fe8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Institution which performed action</dd><dt><span>conventions :</span></dt><dd>Argo reference table 4</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;IF  &#x27;, b&#x27;IF  &#x27;, b&#x27;IF  &#x27;, ..., b&#x27;IF  &#x27;, b&#x27;IF  &#x27;, b&#x27;IF  &#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HISTORY_STEP</span></div><div class='xr-var-dims'>(N_HISTORY)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7bd587f9-e825-423b-b7e3-455b7bd00095' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7bd587f9-e825-423b-b7e3-455b7bd00095' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-23e11b94-2b2d-468b-8bdf-7c6677e3e772' class='xr-var-data-in' type='checkbox'><label for='data-23e11b94-2b2d-468b-8bdf-7c6677e3e772' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Step in data processing</dd><dt><span>conventions :</span></dt><dd>Argo reference table 12</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;ARFM&#x27;, b&#x27;ARGQ&#x27;, b&#x27;ARGQ&#x27;, ..., b&#x27;ARFM&#x27;, b&#x27;ARGQ&#x27;, b&#x27;ARGQ&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HISTORY_SOFTWARE</span></div><div class='xr-var-dims'>(N_HISTORY)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bf937bd8-7a04-4536-bfdf-d5bfaaf562d9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bf937bd8-7a04-4536-bfdf-d5bfaaf562d9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7cbe17af-6abf-4db7-9737-77aca43cdd04' class='xr-var-data-in' type='checkbox'><label for='data-7cbe17af-6abf-4db7-9737-77aca43cdd04' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Name of software which performed action</dd><dt><span>conventions :</span></dt><dd>Institution dependent</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;CODA&#x27;, b&#x27;COQC&#x27;, b&#x27;COQC&#x27;, ..., b&#x27;CODA&#x27;, b&#x27;COQC&#x27;, b&#x27;COQC&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HISTORY_SOFTWARE_RELEASE</span></div><div class='xr-var-dims'>(N_HISTORY)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-dfda34a4-081d-43d2-8b72-17526af76c6f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dfda34a4-081d-43d2-8b72-17526af76c6f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b33ef36f-9a2a-4494-ba83-12fa87aee725' class='xr-var-data-in' type='checkbox'><label for='data-b33ef36f-9a2a-4494-ba83-12fa87aee725' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Version/release of software which performed action</dd><dt><span>conventions :</span></dt><dd>Institution dependent</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;027d&#x27;, b&#x27;2.3 &#x27;, b&#x27;2.3 &#x27;, ..., b&#x27;035b&#x27;, b&#x27;2.8 &#x27;, b&#x27;2.8 &#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HISTORY_REFERENCE</span></div><div class='xr-var-dims'>(N_HISTORY)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ebbcc9a4-91d3-4f0b-87be-f4600a151de4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ebbcc9a4-91d3-4f0b-87be-f4600a151de4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ff8a13ff-ea95-4c3f-80b3-9ac2a32e0ab5' class='xr-var-data-in' type='checkbox'><label for='data-ff8a13ff-ea95-4c3f-80b3-9ac2a32e0ab5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Reference of database</dd><dt><span>conventions :</span></dt><dd>Institution dependent</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;                                                                &#x27;,\n",
       "       b&#x27;                                                                &#x27;,\n",
       "       b&#x27;                                                                &#x27;,\n",
       "       ...,\n",
       "       b&#x27;                                                                &#x27;,\n",
       "       b&#x27;                                                                &#x27;,\n",
       "       b&#x27;                                                                &#x27;],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HISTORY_DATE</span></div><div class='xr-var-dims'>(N_HISTORY)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-eec2fc8f-8b93-471b-9232-83230cedfc77' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eec2fc8f-8b93-471b-9232-83230cedfc77' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b55b4c0a-560b-48c9-9f85-4e250fdcd703' class='xr-var-data-in' type='checkbox'><label for='data-b55b4c0a-560b-48c9-9f85-4e250fdcd703' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Date the history record was created</dd><dt><span>conventions :</span></dt><dd>YYYYMMDDHHMISS</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;20190115112520&#x27;, b&#x27;20190115112534&#x27;, b&#x27;20190115112534&#x27;, ...,\n",
       "       b&#x27;20200625131658&#x27;, b&#x27;20200625131710&#x27;, b&#x27;20200625131710&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HISTORY_ACTION</span></div><div class='xr-var-dims'>(N_HISTORY)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5ececb37-d030-48ee-b442-b0aa114708ab' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5ececb37-d030-48ee-b442-b0aa114708ab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f1547b39-bc1b-4d4d-8cde-01d7429722e4' class='xr-var-data-in' type='checkbox'><label for='data-f1547b39-bc1b-4d4d-8cde-01d7429722e4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Action performed on data</dd><dt><span>conventions :</span></dt><dd>Argo reference table 7</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;    &#x27;, b&#x27;    &#x27;, b&#x27;    &#x27;, ..., b&#x27;    &#x27;, b&#x27;QCP$&#x27;, b&#x27;QCF$&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HISTORY_PARAMETER</span></div><div class='xr-var-dims'>(N_HISTORY)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-18fc3e88-5eda-4182-bf50-dfc1fb2243d3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-18fc3e88-5eda-4182-bf50-dfc1fb2243d3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3be2ab28-104c-4430-92a4-b06c583fa2f8' class='xr-var-data-in' type='checkbox'><label for='data-3be2ab28-104c-4430-92a4-b06c583fa2f8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Station parameter action is performed on</dd><dt><span>conventions :</span></dt><dd>Argo reference table 3</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;                &#x27;, b&#x27;                &#x27;, b&#x27;                &#x27;, ...,\n",
       "       b&#x27;                &#x27;, b&#x27;                &#x27;, b&#x27;                &#x27;],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HISTORY_PREVIOUS_VALUE</span></div><div class='xr-var-dims'>(N_HISTORY)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2c21c4a5-ba79-44d6-85df-8a31dbbb7d52' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2c21c4a5-ba79-44d6-85df-8a31dbbb7d52' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-57fb4c47-ab2e-446b-8c83-edd0d84599a0' class='xr-var-data-in' type='checkbox'><label for='data-57fb4c47-ab2e-446b-8c83-edd0d84599a0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Parameter/Flag previous value before action</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, ..., nan, nan, nan], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HISTORY_INDEX_DIMENSION</span></div><div class='xr-var-dims'>(N_HISTORY)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1974f3a7-6bfe-4137-857c-5f2c6dee6e7f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1974f3a7-6bfe-4137-857c-5f2c6dee6e7f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-92247e27-80a1-42c4-ac96-ac6633264516' class='xr-var-data-in' type='checkbox'><label for='data-92247e27-80a1-42c4-ac96-ac6633264516' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Name of dimension to which HISTORY_START_INDEX and HISTORY_STOP_INDEX correspond</dd><dt><span>conventions :</span></dt><dd>C: N_CYCLE, M: N_MEASUREMENT</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, ..., nan, nan, nan], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HISTORY_START_INDEX</span></div><div class='xr-var-dims'>(N_HISTORY)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1c264ec0-945f-4a64-8099-a15ff16a2ca1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1c264ec0-945f-4a64-8099-a15ff16a2ca1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-efcabf38-a7de-4e5c-9795-b7de41b6fb31' class='xr-var-data-in' type='checkbox'><label for='data-efcabf38-a7de-4e5c-9795-b7de41b6fb31' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Start index action applied on</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, ..., nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HISTORY_STOP_INDEX</span></div><div class='xr-var-dims'>(N_HISTORY)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3390f5da-2e1f-47f7-a7b5-e805f4bff806' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3390f5da-2e1f-47f7-a7b5-e805f4bff806' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7a9c9a8c-dcdf-4d92-95e4-9ae2d06f5457' class='xr-var-data-in' type='checkbox'><label for='data-7a9c9a8c-dcdf-4d92-95e4-9ae2d06f5457' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Stop index action applied on</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, ..., nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HISTORY_QCTEST</span></div><div class='xr-var-dims'>(N_HISTORY)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3fa3974a-f83e-404b-96df-b19232909eb2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3fa3974a-f83e-404b-96df-b19232909eb2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-03ee3c5d-69cd-4e55-b6c1-1286c16cbd54' class='xr-var-data-in' type='checkbox'><label for='data-03ee3c5d-69cd-4e55-b6c1-1286c16cbd54' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Documentation of tests performed, tests failed (in hex form)</dd><dt><span>conventions :</span></dt><dd>Write tests performed when ACTION=QCP$; tests failed when ACTION=QCF$</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;                &#x27;, b&#x27;                &#x27;, b&#x27;                &#x27;, ...,\n",
       "       b&#x27;                &#x27;, b&#x27;00000000027873DE&#x27;, b&#x27;0000000000700000&#x27;],\n",
       "      dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-26d032ca-d168-40a0-923d-8ed8d1e3ae92' class='xr-section-summary-in' type='checkbox'  ><label for='section-26d032ca-d168-40a0-923d-8ed8d1e3ae92' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>title :</span></dt><dd>Argo float trajectory file</dd><dt><span>institution :</span></dt><dd>CORIOLIS</dd><dt><span>source :</span></dt><dd>Argo float</dd><dt><span>history :</span></dt><dd>2019-01-15T11:25:20Z creation; 2020-06-25T13:17:10Z last update (coriolis COQC software)</dd><dt><span>references :</span></dt><dd>http://www.argodatamgt.org/Documentation</dd><dt><span>user_manual_version :</span></dt><dd>3.1</dd><dt><span>Conventions :</span></dt><dd>Argo-3.1 CF-1.6</dd><dt><span>featureType :</span></dt><dd>trajectory</dd><dt><span>decoder_version :</span></dt><dd>CODA_035b</dd><dt><span>comment_on_resolution :</span></dt><dd>JULD and PRES variable resolutions depend on measurement codes</dd><dt><span>comment_on_measurement_code :</span></dt><dd>Meaning of some specific measurement codes for this float: 89: cycle start time, 190: descending profile dated levels, 198: max pressure sampled during descent to park pressure, 203: descending profile deepest level, 297: min pressure sampled during drift at park pressure, 298: max pressure sampled during drift at park pressure, 301: representative park measurement, 398: max pressure sampled during descent to profile pressure, 497: min pressure sampled during drift at profile pressure, 498: max pressure sampled during drift at profile pressure, 503: ascending profile deepest level, 590: ascending profile dated levels, 901: grounded information</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:                              (N_PARAM: 3, N_MEASUREMENT: 4289, N_CYCLE: 66, N_HISTORY: 1043)\n",
       "Dimensions without coordinates: N_PARAM, N_MEASUREMENT, N_CYCLE, N_HISTORY\n",
       "Data variables: (12/102)\n",
       "    DATA_TYPE                            object ...\n",
       "    FORMAT_VERSION                       object ...\n",
       "    HANDBOOK_VERSION                     object ...\n",
       "    REFERENCE_DATE_TIME                  object ...\n",
       "    DATE_CREATION                        object ...\n",
       "    DATE_UPDATE                          object ...\n",
       "    ...                                   ...\n",
       "    HISTORY_PARAMETER                    (N_HISTORY) object ...\n",
       "    HISTORY_PREVIOUS_VALUE               (N_HISTORY) float32 ...\n",
       "    HISTORY_INDEX_DIMENSION              (N_HISTORY) object ...\n",
       "    HISTORY_START_INDEX                  (N_HISTORY) float64 ...\n",
       "    HISTORY_STOP_INDEX                   (N_HISTORY) float64 ...\n",
       "    HISTORY_QCTEST                       (N_HISTORY) object ...\n",
       "Attributes:\n",
       "    title:                        Argo float trajectory file\n",
       "    institution:                  CORIOLIS\n",
       "    source:                       Argo float\n",
       "    history:                      2019-01-15T11:25:20Z creation; 2020-06-25T1...\n",
       "    references:                   http://www.argodatamgt.org/Documentation\n",
       "    user_manual_version:          3.1\n",
       "    Conventions:                  Argo-3.1 CF-1.6\n",
       "    featureType:                  trajectory\n",
       "    decoder_version:              CODA_035b\n",
       "    comment_on_resolution:        JULD and PRES variable resolutions depend o...\n",
       "    comment_on_measurement_code:  Meaning of some specific measurement codes ..."
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Rtraj"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import cartopy.crs as ccrs\n",
    "import cartopy\n",
    "\n",
    "\n",
    "\n",
    "fig,ax = plt.subplots(figsize=(10,10),subplot_kw={'projection': ccrs.PlateCarree()})\n",
    "ax.plot(Rtraj.LONGITUDE,Rtraj.LATITUDE,'ob')\n",
    "ax.plot(Rtraj.LONGITUDE[~np.isnan(Rtraj.LONGITUDE)],Rtraj.LATITUDE[~np.isnan(Rtraj.LATITUDE)],'-b')\n",
    "ax.plot(Rtraj.LONGITUDE[0],Rtraj.LATITUDE[0],'ok')\n",
    "ax.plot(Rtraj.LONGITUDE[-1],Rtraj.LATITUDE[-1],'sk')\n",
    "\n",
    "ax.add_feature(cartopy.feature.LAND)\n",
    "ax.add_feature(cartopy.feature.COASTLINE, edgecolor='white')\n",
    "ax.set_title(f\"Data from {Rtraj.PLATFORM_NUMBER.values.astype(str)}\")\n",
    "ax.gridlines(draw_labels=True, dms=True, x_inline=False, y_inline=False);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax = plt.subplots(figsize=(10,10))\n",
    "sc=ax.scatter(Rtraj.PSAL,Rtraj.TEMP,c=Rtraj.PRES)\n",
    "ax.set_title(f\"Vertical Salinity section for float {Rtraj.PLATFORM_NUMBER.astype(str).values}\")\n",
    "ax.set_xlabel(f\"{Rtraj.PSAL.long_name}\")\n",
    "ax.set_ylabel(f\"{Rtraj.TEMP.long_name}\")\n",
    "fig.colorbar(sc);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax = plt.subplots(figsize=(15,8))\n",
    "ax.plot(Rtraj.JULD,Rtraj.PRES,'-')\n",
    "sc=ax.scatter(Rtraj.JULD,Rtraj.PRES,c=Rtraj.TEMP)\n",
    "ax.set_xlabel(f\"{Rtraj.JULD.standard_name}\")\n",
    "ax.set_ylabel(f\"{Rtraj.PRES.long_name}\")\n",
    "ax.invert_yaxis()\n",
    "fig.colorbar(sc);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax = plt.subplots(figsize=(15,8))\n",
    "ax.plot(Rtraj.JULD,Rtraj.MEASUREMENT_CODE,'o');"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}