Accessing Argo data by date using Argopy

also allows to download and represente the data by date. In this notebook we show a few examples, but we refer to the argopy Gallery for a more detailled explanation

Fist, as usual, import the libraries:

import numpy as np
import matplotlib as mpl
from matplotlib import pyplot as plt

import cartopy.crs as ccrs
import cartopy

import xarray as xr
xr.set_options(display_expand_attrs = False)

<xarray.core.options.set_options at 0x308631580>

Import argopy and set-up a data fetcher:

import argopy
argopy.reset_options()
argopy.clear_cache()

from argopy import DataFetcher  # This is the class to work with Argo data
from argopy.plot import scatter_map, scatter_plot  # Functions to easily make maps and plots

You can load profiles for a specific date (and domain) using the region access point and specificating the region (-180, 180, -90, 90), the depth range (0, 100) and the date range (‘2020-11-11’, ‘2020-11-12’)

ArgoSet=DataFetcher().region([-180, 180, -90, 90, 0, 100, '2020-11-11', '2020-11-12'])

ArgoSet

<datafetcher.erddap>
Name: Ifremer erddap Argo data fetcher for a space/time region
API: https://erddap.ifremer.fr/erddap
Domain: [x=-180.00/180.00; y=-90.00/90 ... 00.0; t=2020-11-11/2020-11-12]
Performances: cache=False, parallel=False
User mode: standard
Dataset: phy

apDS=ArgoSet.load().data

/Users/pvb/miniconda3/envs/AOS_clean/lib/python3.12/site-packages/argopy/xarray.py:70: FutureWarning: The return type of `Dataset.dims` will be changed to return a set of dimension names in future, in order to be more consistent with `DataArray.dims`. To access a mapping from dimension names to lengths, please use `Dataset.sizes`.
  self._dims = list(xarray_obj.dims.keys())
/Users/pvb/miniconda3/envs/AOS_clean/lib/python3.12/site-packages/argopy/xarray.py:70: FutureWarning: The return type of `Dataset.dims` will be changed to return a set of dimension names in future, in order to be more consistent with `DataArray.dims`. To access a mapping from dimension names to lengths, please use `Dataset.sizes`.
  self._dims = list(xarray_obj.dims.keys())
/Users/pvb/miniconda3/envs/AOS_clean/lib/python3.12/site-packages/argopy/xarray.py:70: FutureWarning: The return type of `Dataset.dims` will be changed to return a set of dimension names in future, in order to be more consistent with `DataArray.dims`. To access a mapping from dimension names to lengths, please use `Dataset.sizes`.
  self._dims = list(xarray_obj.dims.keys())
/Users/pvb/miniconda3/envs/AOS_clean/lib/python3.12/site-packages/argopy/xarray.py:70: FutureWarning: The return type of `Dataset.dims` will be changed to return a set of dimension names in future, in order to be more consistent with `DataArray.dims`. To access a mapping from dimension names to lengths, please use `Dataset.sizes`.
  self._dims = list(xarray_obj.dims.keys())

apDS

<xarray.Dataset> Size: 2MB
Dimensions:          (N_POINTS: 20192)
Coordinates:
  * N_POINTS         (N_POINTS) int64 162kB 0 1 2 3 ... 20188 20189 20190 20191
    LATITUDE         (N_POINTS) float64 162kB 35.14 35.14 ... -25.59 -25.59
    LONGITUDE        (N_POINTS) float64 162kB 15.69 15.69 15.69 ... 168.6 168.6
    TIME             (N_POINTS) datetime64[ns] 162kB 2020-11-11T00:08:20 ... ...
Data variables: (12/15)
    CYCLE_NUMBER     (N_POINTS) int64 162kB 103 103 103 103 ... 121 121 121 121
    DATA_MODE        (N_POINTS) <U1 81kB 'D' 'D' 'D' 'D' 'D' ... 'D' 'D' 'D' 'D'
    DIRECTION        (N_POINTS) <U1 81kB 'A' 'A' 'A' 'A' 'A' ... 'A' 'A' 'A' 'A'
    PLATFORM_NUMBER  (N_POINTS) int64 162kB 6903788 6903788 ... 5905204 5905204
    POSITION_QC      (N_POINTS) int64 162kB 1 1 1 1 1 1 1 1 ... 1 1 1 1 1 1 1 1
    PRES             (N_POINTS) float32 81kB 2.9 3.9 5.1 ... 95.96 97.96 99.96
    ...               ...
    PSAL_ERROR       (N_POINTS) float32 81kB 0.01 0.01 0.01 ... 0.01 0.01 0.01
    PSAL_QC          (N_POINTS) int64 162kB 1 1 1 1 1 1 1 1 ... 1 1 1 1 1 1 1 1
    TEMP             (N_POINTS) float32 81kB 22.01 22.02 22.01 ... 20.37 20.36
    TEMP_ERROR       (N_POINTS) float32 81kB 0.002 0.002 0.002 ... 0.002 0.002
    TEMP_QC          (N_POINTS) int64 162kB 1 1 1 1 1 1 1 1 ... 1 1 1 1 1 1 1 1
    TIME_QC          (N_POINTS) int64 162kB 1 1 1 1 1 1 1 1 ... 1 1 1 1 1 1 1 1
Attributes: (8)

xarray.Dataset

• Dimensions:
  • N_POINTS: 20192
• Coordinates: (4)
  • N_POINTS
    (N_POINTS)
    int64
    0 1 2 3 ... 20188 20189 20190 20191

    array([    0,     1,     2, ..., 20189, 20190, 20191])

  • LATITUDE
    (N_POINTS)
    float64
    35.14 35.14 35.14 ... -25.59 -25.59

    _CoordinateAxisType :

    Lat

    actual_range :

    [-76.52126894 81.73499969]

    axis :

    Y

    colorBarMaximum :

    90.0

    colorBarMinimum :

    -90.0

    ioos_category :

    Location

    long_name :

    Latitude of the station, best estimate

    standard_name :

    latitude

    units :

    degrees_north

    valid_max :

    90.0

    valid_min :

    -90.0

    casted :

    1

    array([ 35.14129167,  35.14129167,  35.14129167, ..., -25.5907    ,
           -25.5907    , -25.5907    ])

  • LONGITUDE
    (N_POINTS)
    float64
    15.69 15.69 15.69 ... 168.6 168.6

    _CoordinateAxisType :

    Lon

    actual_range :

    [-179.83862 179.91123763]

    axis :

    X

    colorBarMaximum :

    180.0

    colorBarMinimum :

    -180.0

    ioos_category :

    Location

    long_name :

    Longitude of the station, best estimate

    standard_name :

    longitude

    units :

    degrees_east

    valid_max :

    180.0

    valid_min :

    -180.0

    casted :

    1

    array([ 15.68804167,  15.68804167,  15.68804167, ..., 168.6309    ,
           168.6309    , 168.6309    ])

  • TIME
    (N_POINTS)
    datetime64[ns]
    2020-11-11T00:08:20 ... 2020-11-...

    _CoordinateAxisType :

    Time

    actual_range :

    [1.60505330e+09 1.60513917e+09]

    axis :

    T

    ioos_category :

    Time

    long_name :

    Julian day (UTC) of the station relative to REFERENCE_DATE_TIME

    standard_name :

    time

    time_origin :

    01-JAN-1970 00:00:00

    casted :

    1

    array(['2020-11-11T00:08:20.000000000', '2020-11-11T00:08:20.000000000',
           '2020-11-11T00:08:20.000000000', ...,
           '2020-11-11T23:59:32.000000000', '2020-11-11T23:59:32.000000000',
           '2020-11-11T23:59:32.000000000'], dtype='datetime64[ns]')

• Data variables: (15)
  • CYCLE_NUMBER
    (N_POINTS)
    int64
    103 103 103 103 ... 121 121 121 121

    long_name :

    Float cycle number

    conventions :

    0..N, 0 : launch cycle (if exists), 1 : first complete cycle

    casted :

    1

    array([103, 103, 103, ..., 121, 121, 121])

  • DATA_MODE
    (N_POINTS)
    <U1
    'D' 'D' 'D' 'D' ... 'D' 'D' 'D' 'D'

    long_name :

    Delayed mode or real time data

    conventions :

    R : real time; D : delayed mode; A : real time with adjustment

    casted :

    1

    array(['D', 'D', 'D', ..., 'D', 'D', 'D'], dtype='<U1')

  • DIRECTION
    (N_POINTS)
    <U1
    'A' 'A' 'A' 'A' ... 'A' 'A' 'A' 'A'

    long_name :

    Direction of the station profiles

    conventions :

    A: ascending profiles, D: descending profiles

    casted :

    1

    array(['A', 'A', 'A', ..., 'A', 'A', 'A'], dtype='<U1')

  • PLATFORM_NUMBER
    (N_POINTS)
    int64
    6903788 6903788 ... 5905204 5905204

    long_name :

    Float unique identifier

    conventions :

    WMO float identifier : A9IIIII

    casted :

    1

    array([6903788, 6903788, 6903788, ..., 5905204, 5905204, 5905204])

  • POSITION_QC
    (N_POINTS)
    int64
    1 1 1 1 1 1 1 1 ... 1 1 1 1 1 1 1 1

    long_name :

    Global quality flag of POSITION_QC profile

    conventions :

    Argo reference table 2a

    casted :

    1

    array([1, 1, 1, ..., 1, 1, 1])

  • PRES
    (N_POINTS)
    float32
    2.9 3.9 5.1 ... 95.96 97.96 99.96

    long_name :

    Sea Pressure

    standard_name :

    sea_water_pressure

    units :

    decibar

    valid_min :

    0.0

    valid_max :

    12000.0

    resolution :

    0.1

    axis :

    Z

    casted :

    1

    array([ 2.9 ,  3.9 ,  5.1 , ..., 95.96, 97.96, 99.96], dtype=float32)

  • PRES_ERROR
    (N_POINTS)
    float32
    2.4 2.4 2.4 2.4 ... 2.4 2.4 2.4 2.4

    long_name :

    ERROR IN Sea Pressure

    standard_name :

    sea_water_pressure

    units :

    decibar

    valid_min :

    0.0

    valid_max :

    12000.0

    resolution :

    0.1

    axis :

    Z

    casted :

    1

    array([2.4, 2.4, 2.4, ..., 2.4, 2.4, 2.4], dtype=float32)

  • PRES_QC
    (N_POINTS)
    int64
    1 1 1 1 1 1 1 1 ... 1 1 1 1 1 1 1 1

    long_name :

    Global quality flag of PRES_QC profile

    conventions :

    Argo reference table 2a

    casted :

    1

    array([1, 1, 1, ..., 1, 1, 1])

  • PSAL
    (N_POINTS)
    float32
    38.03 38.03 38.03 ... 35.88 35.88

    long_name :

    PRACTICAL SALINITY

    standard_name :

    sea_water_salinity

    units :

    psu

    valid_min :

    0.0

    valid_max :

    43.0

    resolution :

    0.001

    casted :

    1

    array([38.029  , 38.027  , 38.028  , ..., 35.87545, 35.87542, 35.87557],
          dtype=float32)

  • PSAL_ERROR
    (N_POINTS)
    float32
    0.01 0.01 0.01 ... 0.01 0.01 0.01

    long_name :

    ERROR IN PRACTICAL SALINITY

    standard_name :

    sea_water_salinity

    units :

    psu

    valid_min :

    0.0

    valid_max :

    43.0

    resolution :

    0.001

    casted :

    1

    array([0.01, 0.01, 0.01, ..., 0.01, 0.01, 0.01], dtype=float32)

  • PSAL_QC
    (N_POINTS)
    int64
    1 1 1 1 1 1 1 1 ... 1 1 1 1 1 1 1 1

    long_name :

    Global quality flag of PSAL_QC profile

    conventions :

    Argo reference table 2a

    casted :

    1

    array([1, 1, 1, ..., 1, 1, 1])

  • TEMP
    (N_POINTS)
    float32
    22.01 22.02 22.01 ... 20.37 20.36

    long_name :

    SEA TEMPERATURE IN SITU ITS-90 SCALE

    standard_name :

    sea_water_temperature

    units :

    degree_Celsius

    valid_min :

    -2.0

    valid_max :

    40.0

    resolution :

    0.001

    casted :

    1

    array([22.014, 22.017, 22.012, ..., 20.382, 20.37 , 20.359], dtype=float32)

  • TEMP_ERROR
    (N_POINTS)
    float32
    0.002 0.002 0.002 ... 0.002 0.002

    long_name :

    ERROR IN SEA TEMPERATURE IN SITU ITS-90 SCALE

    standard_name :

    sea_water_temperature

    units :

    degree_Celsius

    valid_min :

    -2.0

    valid_max :

    40.0

    resolution :

    0.001

    casted :

    1

    array([0.002, 0.002, 0.002, ..., 0.002, 0.002, 0.002], dtype=float32)

  • TEMP_QC
    (N_POINTS)
    int64
    1 1 1 1 1 1 1 1 ... 1 1 1 1 1 1 1 1

    long_name :

    Global quality flag of TEMP_QC profile

    conventions :

    Argo reference table 2a

    casted :

    1

    array([1, 1, 1, ..., 1, 1, 1])

  • TIME_QC
    (N_POINTS)
    int64
    1 1 1 1 1 1 1 1 ... 1 1 1 1 1 1 1 1

    long_name :

    Global quality flag of TIME_QC profile

    conventions :

    Argo reference table 2a

    casted :

    1

    array([1, 1, 1, ..., 1, 1, 1])

• Indexes: (1)
  • N_POINTS
    PandasIndex

    PandasIndex(Index([    0,     1,     2,     3,     4,     5,     6,     7,     8,     9,
           ...
           20182, 20183, 20184, 20185, 20186, 20187, 20188, 20189, 20190, 20191],
          dtype='int64', name='N_POINTS', length=20192))

• Attributes: (8)

  DATA_ID :

  ARGO

  DOI :

  http://doi.org/10.17882/42182

  Fetched_from :

  https://erddap.ifremer.fr/erddap

  Fetched_by :

  pvb

  Fetched_date :

  2024/08/21

  Fetched_constraints :

  [x=-180.00/180.00; y=-90.00/90.00; z=0.0/100.0; t=2020-11-11/2020-11-12]

  Fetched_uri :

  ['https://erddap.ifremer.fr/erddap/tabledap/ArgoFloats.nc?data_mode,latitude,longitude,position_qc,time,time_qc,direction,platform_number,cycle_number,config_mission_number,vertical_sampling_scheme,pres,temp,psal,pres_qc,temp_qc,psal_qc,pres_adjusted,temp_adjusted,psal_adjusted,pres_adjusted_qc,temp_adjusted_qc,psal_adjusted_qc,pres_adjusted_error,temp_adjusted_error,psal_adjusted_error&longitude>=-180&longitude<=180&latitude>=-90&latitude<=90&pres>=0&pres<=100&time>=1605052800.0&time<=1605139200.0&distinct()&orderBy("time,pres")']

  history :

  Variables filtered according to DATA_MODE; Variables selected according to QC

note that the data is organized in ‘points’, a 1D array collection of measurements:

apDS.TEMP

<xarray.DataArray 'TEMP' (N_POINTS: 20192)> Size: 81kB
array([22.014, 22.017, 22.012, ..., 20.382, 20.37 , 20.359], dtype=float32)
Coordinates:
  * N_POINTS   (N_POINTS) int64 162kB 0 1 2 3 4 ... 20188 20189 20190 20191
    LATITUDE   (N_POINTS) float64 162kB 35.14 35.14 35.14 ... -25.59 -25.59
    LONGITUDE  (N_POINTS) float64 162kB 15.69 15.69 15.69 ... 168.6 168.6 168.6
    TIME       (N_POINTS) datetime64[ns] 162kB 2020-11-11T00:08:20 ... 2020-1...
Attributes: (7)

xarray.DataArray

'TEMP'

• N_POINTS: 20192

• 22.01 22.02 22.01 22.01 22.02 22.02 ... 20.42 20.41 20.38 20.37 20.36

  array([22.014, 22.017, 22.012, ..., 20.382, 20.37 , 20.359], dtype=float32)

• Coordinates: (4)
  • N_POINTS
    (N_POINTS)
    int64
    0 1 2 3 ... 20188 20189 20190 20191

    array([    0,     1,     2, ..., 20189, 20190, 20191])

  • LATITUDE
    (N_POINTS)
    float64
    35.14 35.14 35.14 ... -25.59 -25.59

    _CoordinateAxisType :

    Lat

    actual_range :

    [-76.52126894 81.73499969]

    axis :

    Y

    colorBarMaximum :

    90.0

    colorBarMinimum :

    -90.0

    ioos_category :

    Location

    long_name :

    Latitude of the station, best estimate

    standard_name :

    latitude

    units :

    degrees_north

    valid_max :

    90.0

    valid_min :

    -90.0

    casted :

    1

    array([ 35.14129167,  35.14129167,  35.14129167, ..., -25.5907    ,
           -25.5907    , -25.5907    ])

  • LONGITUDE
    (N_POINTS)
    float64
    15.69 15.69 15.69 ... 168.6 168.6

    _CoordinateAxisType :

    Lon

    actual_range :

    [-179.83862 179.91123763]

    axis :

    X

    colorBarMaximum :

    180.0

    colorBarMinimum :

    -180.0

    ioos_category :

    Location

    long_name :

    Longitude of the station, best estimate

    standard_name :

    longitude

    units :

    degrees_east

    valid_max :

    180.0

    valid_min :

    -180.0

    casted :

    1

    array([ 15.68804167,  15.68804167,  15.68804167, ..., 168.6309    ,
           168.6309    , 168.6309    ])

  • TIME
    (N_POINTS)
    datetime64[ns]
    2020-11-11T00:08:20 ... 2020-11-...

    _CoordinateAxisType :

    Time

    actual_range :

    [1.60505330e+09 1.60513917e+09]

    axis :

    T

    ioos_category :

    Time

    long_name :

    Julian day (UTC) of the station relative to REFERENCE_DATE_TIME

    standard_name :

    time

    time_origin :

    01-JAN-1970 00:00:00

    casted :

    1

    array(['2020-11-11T00:08:20.000000000', '2020-11-11T00:08:20.000000000',
           '2020-11-11T00:08:20.000000000', ...,
           '2020-11-11T23:59:32.000000000', '2020-11-11T23:59:32.000000000',
           '2020-11-11T23:59:32.000000000'], dtype='datetime64[ns]')

• Indexes: (1)
  • N_POINTS
    PandasIndex

    PandasIndex(Index([    0,     1,     2,     3,     4,     5,     6,     7,     8,     9,
           ...
           20182, 20183, 20184, 20185, 20186, 20187, 20188, 20189, 20190, 20191],
          dtype='int64', name='N_POINTS', length=20192))

• Attributes: (7)

  long_name :

  SEA TEMPERATURE IN SITU ITS-90 SCALE

  standard_name :

  sea_water_temperature

  units :

  degree_Celsius

  valid_min :

  -2.0

  valid_max :

  40.0

  resolution :

  0.001

  casted :

  1

However, and for the purpose of the Argo online school is easier to work with the data in profiles; argopy allows the transformation:

data=apDS.argo.point2profile()
data

/Users/pvb/miniconda3/envs/AOS_clean/lib/python3.12/site-packages/argopy/xarray.py:70: FutureWarning: The return type of `Dataset.dims` will be changed to return a set of dimension names in future, in order to be more consistent with `DataArray.dims`. To access a mapping from dimension names to lengths, please use `Dataset.sizes`.
  self._dims = list(xarray_obj.dims.keys())

<xarray.Dataset> Size: 997kB
Dimensions:          (N_PROF: 399, N_LEVELS: 100)
Coordinates:
  * N_PROF           (N_PROF) int64 3kB 377 245 308 118 213 ... 176 25 183 239
  * N_LEVELS         (N_LEVELS) int64 800B 0 1 2 3 4 5 6 ... 94 95 96 97 98 99
    LATITUDE         (N_PROF) float64 3kB 35.14 -21.1 -45.69 ... -15.29 -25.59
    LONGITUDE        (N_PROF) float64 3kB 15.69 -125.9 136.7 ... -135.0 168.6
    TIME             (N_PROF) datetime64[ns] 3kB 2020-11-11T00:08:20 ... 2020...
Data variables: (12/15)
    CYCLE_NUMBER     (N_PROF) int64 3kB 103 111 27 100 146 7 ... 9 10 68 189 121
    DATA_MODE        (N_PROF) <U1 2kB 'D' 'D' 'D' 'D' 'D' ... 'D' 'D' 'D' 'D'
    DIRECTION        (N_PROF) <U1 2kB 'A' 'A' 'A' 'A' 'A' ... 'A' 'A' 'A' 'A'
    PLATFORM_NUMBER  (N_PROF) int64 3kB 6903788 5905256 ... 5902419 5905204
    POSITION_QC      (N_PROF) int64 3kB 1 1 1 1 1 1 1 1 1 ... 1 1 1 1 1 1 1 1 1
    PRES             (N_PROF, N_LEVELS) float32 160kB 2.9 3.9 5.1 ... nan nan
    ...               ...
    PSAL_ERROR       (N_PROF, N_LEVELS) float32 160kB 0.01 0.01 0.01 ... nan nan
    PSAL_QC          (N_PROF) int64 3kB 1 1 1 1 1 1 1 1 1 ... 1 1 1 1 1 1 1 1 1
    TEMP             (N_PROF, N_LEVELS) float32 160kB 22.01 22.02 ... nan nan
    TEMP_ERROR       (N_PROF, N_LEVELS) float32 160kB 0.002 0.002 ... nan nan
    TEMP_QC          (N_PROF) int64 3kB 1 1 1 1 1 1 1 1 1 ... 1 1 1 1 1 1 1 1 1
    TIME_QC          (N_PROF) int64 3kB 1 1 1 1 1 1 1 1 1 ... 1 1 1 1 1 1 1 1 1
Attributes: (8)

xarray.Dataset

• Dimensions:
  • N_PROF: 399
  • N_LEVELS: 100
• Coordinates: (5)
  • N_PROF
    (N_PROF)
    int64
    377 245 308 118 ... 176 25 183 239

    casted :

    1

    array([377, 245, 308, ...,  25, 183, 239])

  • N_LEVELS
    (N_LEVELS)
    int64
    0 1 2 3 4 5 6 ... 94 95 96 97 98 99

    casted :

    1

    array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,
           18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,
           36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53,
           54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71,
           72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89,
           90, 91, 92, 93, 94, 95, 96, 97, 98, 99])

  • LATITUDE
    (N_PROF)
    float64
    35.14 -21.1 ... -15.29 -25.59

    _CoordinateAxisType :

    Lat

    actual_range :

    [-76.52126894 81.73499969]

    axis :

    Y

    colorBarMaximum :

    90.0

    colorBarMinimum :

    -90.0

    ioos_category :

    Location

    long_name :

    Latitude of the station, best estimate

    standard_name :

    latitude

    units :

    degrees_north

    valid_max :

    90.0

    valid_min :

    -90.0

    casted :

    1

    array([ 3.51412917e+01, -2.10987300e+01, -4.56925501e+01, -2.84904500e+01,
           -3.78220000e+01,  2.32000000e-01,  2.18343000e+01,  4.97764000e+00,
            2.84776200e+01,  4.98423000e+00,  4.78730000e+01, -3.09641900e+01,
           -3.25725000e+01, -4.77030000e+01,  3.54700000e+01, -2.24766100e+01,
           -4.87490000e+01, -9.68600000e+00, -2.24761400e+01,  2.36915800e+01,
           -2.92650600e+01,  1.97974200e+01,  4.33734550e+01, -3.45720000e+01,
            6.53920000e+01, -5.62600000e+00, -4.94598200e+01, -2.00637467e+01,
            8.75631000e+00, -2.87695000e+01, -6.24340000e-01, -3.83622900e+01,
           -1.37436800e+01,  3.51273133e+01,  5.97019000e+01,  5.94700000e+00,
           -2.16180000e+01, -3.87680000e+01, -2.49510000e+01,  7.93500000e+00,
           -2.76400000e+01, -4.27863900e+01, -1.39122800e+01,  4.90468216e+01,
           -1.63539400e+01,  6.79235000e+00,  2.74600000e+00,  4.35180000e+01,
            5.92044411e+01,  1.00100000e+00, -4.83276900e+01,  3.42341700e+01,
           -6.13870000e+01, -3.49950000e+01, -4.91789258e+01, -4.30120000e+01,
            5.68749123e+01, -3.31668600e+01, -3.99920000e+01,  5.54008000e+01,
            4.20454865e+01,  4.04626650e+01,  5.72962952e+01, -2.79793400e+01,
           -4.33580000e+01,  5.74996758e+01,  4.23295097e+01,  4.72991409e+01,
            2.73290000e+01,  2.03170000e+01,  5.79675674e+01,  4.66012688e+01,
            1.41200000e+00,  4.14211884e+01,  3.74531933e+01, -5.16480000e+01,
           -4.91773000e+01, -3.91320000e+01,  3.33950000e+01,  3.68920633e+01,
    ...
           -4.69691500e+01,  5.48200000e+00, -4.14330000e+01, -4.58193000e+01,
           -1.29530000e+01, -3.04224000e+01,  1.70976700e+01, -1.63188200e+01,
            9.46176000e+00,  1.29190000e+01, -4.29393000e+01, -4.29874600e+01,
           -2.60417700e+01,  6.33042700e+01,  3.50721083e+01, -4.63777000e+01,
           -4.43293000e+01, -5.94650100e+01, -3.50382000e+01, -2.44121000e+01,
            1.72050000e+01, -2.19130000e+01, -1.60914900e+01, -2.59720000e+01,
           -4.82930000e+01, -5.27205760e+01,  3.18610000e+01,  4.10170000e+01,
            2.48183900e+01,  3.10612000e+01, -4.01248633e+01,  4.53500000e+00,
           -3.76820300e+01, -3.65187533e+01, -4.38380000e-01, -8.96504167e+00,
           -1.88490000e+01, -3.90290600e+01, -2.34639000e+00, -3.73640000e+01,
           -4.05920000e+01, -2.95932633e+01,  8.17349997e+01,  1.59660000e+01,
            3.33740833e+01,  4.70141800e+01,  3.80866700e+01,  3.50645483e+01,
           -5.11750000e+01,  2.86270000e+01, -3.87769700e+01,  5.88654800e+01,
            3.23000000e+00, -1.50980000e+01, -4.90219600e+01,  4.96850000e+01,
           -1.21312800e+01,  1.18710000e+01,  5.98570333e+01,  6.22645733e+01,
            4.92550000e+01,  3.48910000e+01, -4.83177000e+01, -2.29940000e+01,
            5.87681417e+01, -5.76300000e+01, -2.16506767e+01, -3.29404500e+01,
            8.93185000e+00, -4.77437500e+01,  1.30079400e+01, -3.22820000e+01,
           -3.43330000e+01, -4.69725000e+01,  5.62242083e+01,  2.60491700e+01,
           -3.32064500e+01, -1.52881800e+01, -2.55907000e+01])

  • LONGITUDE
    (N_PROF)
    float64
    15.69 -125.9 136.7 ... -135.0 168.6

    _CoordinateAxisType :

    Lon

    actual_range :

    [-179.83862 179.91123763]

    axis :

    X

    colorBarMaximum :

    180.0

    colorBarMinimum :

    -180.0

    ioos_category :

    Location

    long_name :

    Longitude of the station, best estimate

    standard_name :

    longitude

    units :

    degrees_east

    valid_max :

    180.0

    valid_min :

    -180.0

    casted :

    1

    array([ 1.56880417e+01, -1.25876440e+02,  1.36713131e+02, -7.45309000e+01,
            2.15810000e+01,  9.29220000e+01, -1.25457510e+02, -1.31943650e+02,
            1.57967120e+02, -1.31954380e+02, -3.52730000e+01, -1.75488490e+02,
            1.12026900e+02,  1.21381100e+02, -1.23467000e+02, -1.67827250e+02,
            1.65450000e+01, -1.47271000e+02, -1.67828040e+02, -8.24084300e+01,
            1.62122850e+02, -6.32415900e+01,  7.44639833e+00, -1.67915000e+02,
           -7.50000000e-02,  9.71160000e+01, -1.71843890e+02,  1.75779110e+02,
           -5.85131583e+01,  1.76113750e+02, -4.03709800e+01, -1.41144790e+02,
           -1.61096470e+02,  1.56941017e+01, -9.75030000e+00, -1.18348000e+02,
            9.97350000e+01,  8.79020000e+01,  1.77954000e+02,  1.26980000e+02,
            1.05106000e+02, -1.38614760e+02, -1.62102320e+02, -1.37338791e+02,
           -5.76711000e+00,  1.29080640e+02, -1.02081000e+02, -5.53770000e+01,
           -5.01034126e+01,  1.57346000e+02,  6.34200900e+01, -7.43059700e+01,
           -1.77620000e+02, -7.86030000e+01,  8.91176531e+01, -9.21200000e+01,
           -5.43279381e+01, -3.87201000e+00,  5.29230000e+01, -3.14379000e+01,
           -6.11467438e+01,  4.45087000e+00, -5.33069000e+01, -1.67272970e+02,
           -5.42630000e+01, -5.16720543e+01, -6.14855614e+01, -1.31382034e+02,
           -1.27655000e+02, -3.09520000e+01, -1.44021515e+02, -1.27456543e+02,
            1.70049000e+02, -6.31769791e+01,  1.86448067e+01, -4.73880000e+01,
            8.46385000e+01,  1.35367000e+02, -1.44410000e+01, -2.82728717e+01,
    ...
           -1.28714550e+02, -1.18110000e+01, -1.34820000e+02, -1.45749570e+02,
            6.42690000e+01,  1.56143700e+02, -4.72399700e+01, -7.78234000e+00,
           -5.28752900e+01,  1.47795000e+02, -1.72457300e+02,  1.55176860e+02,
           -3.21506500e+01, -3.09287700e+01,  1.57337350e+01,  8.38679000e+01,
            2.30611000e+01,  1.31525560e+02, -1.62469700e+02, -2.86319000e+01,
            1.62031000e+02, -1.10001000e+02, -8.82379100e+01,  1.63937000e+02,
            1.77998000e+02,  2.17872720e+01,  1.55623000e+02,  1.32489000e+02,
           -8.89192700e+01, -5.72379000e+01, -5.01675133e+01,  6.46440000e+01,
            1.59983120e+02, -6.85749167e+00, -2.46127400e+01, -3.29909783e+01,
            5.03230000e+01,  1.20198180e+02, -2.39314600e+01,  1.02084000e+02,
            8.32363900e+01, -1.15422033e+01,  3.24444717e+01, -3.94520000e+01,
            3.30214900e+01, -2.71796300e+01, -5.39050000e+01,  1.57508433e+01,
            1.62591000e+02,  1.40559000e+02, -1.21410330e+02, -5.37194650e+01,
           -1.30681000e+02, -3.43670000e+01, -1.16779210e+02, -1.30848000e+02,
           -1.70410430e+02,  1.26680000e+02, -5.35430117e+01,  1.90415617e+01,
           -1.52341000e+02,  1.46867000e+02,  1.70389160e+02,  8.25800000e+01,
           -5.26617767e+01, -1.57288000e+02, -1.76896982e+02, -1.56907830e+02,
           -1.29634380e+02, -5.28081300e+01, -1.27404420e+02, -2.53850000e+01,
           -7.34460000e+01,  5.26466100e+01, -5.18248800e+01, -8.62060800e+01,
            4.89787800e+01, -1.35048520e+02,  1.68630900e+02])

  • TIME
    (N_PROF)
    datetime64[ns]
    2020-11-11T00:08:20 ... 2020-11-...

    _CoordinateAxisType :

    Time

    actual_range :

    [1.60505330e+09 1.60513917e+09]

    axis :

    T

    ioos_category :

    Time

    long_name :

    Julian day (UTC) of the station relative to REFERENCE_DATE_TIME

    standard_name :

    time

    time_origin :

    01-JAN-1970 00:00:00

    casted :

    1

    array(['2020-11-11T00:08:20.000000000', '2020-11-11T00:09:45.000000000',
           '2020-11-11T00:12:28.000000000', '2020-11-11T00:19:04.000000000',
           '2020-11-11T00:20:42.000000000', '2020-11-11T00:25:00.000000000',
           '2020-11-11T00:35:01.000000000', '2020-11-11T00:37:32.000000000',
           '2020-11-11T00:49:55.000000000', '2020-11-11T00:50:01.000000000',
           '2020-11-11T01:02:00.000000000', '2020-11-11T01:08:04.000000000',
           '2020-11-11T01:28:26.000000000', '2020-11-11T01:28:52.000000000',
           '2020-11-11T01:31:06.000000000', '2020-11-11T01:40:19.000000000',
           '2020-11-11T01:40:56.000000000', '2020-11-11T01:45:29.000000000',
           '2020-11-11T01:57:57.000000000', '2020-11-11T01:59:01.000000000',
           '2020-11-11T02:00:43.000000000', '2020-11-11T02:01:25.000000000',
           '2020-11-11T02:04:30.000000000', '2020-11-11T02:07:34.000000000',
           '2020-11-11T02:23:14.000000000', '2020-11-11T02:33:45.000000000',
           '2020-11-11T02:40:27.000000000', '2020-11-11T02:42:30.000000000',
           '2020-11-11T02:46:30.000000000', '2020-11-11T02:47:53.000000000',
           '2020-11-11T02:49:30.000000000', '2020-11-11T02:56:29.000000000',
           '2020-11-11T02:56:53.000000000', '2020-11-11T03:02:20.000000000',
           '2020-11-11T03:03:01.000000000', '2020-11-11T03:04:04.000000000',
           '2020-11-11T03:07:33.000000000', '2020-11-11T03:13:34.000000000',
           '2020-11-11T03:33:16.000000000', '2020-11-11T03:36:00.000000000',
    ...
           '2020-11-11T20:34:36.000000000', '2020-11-11T20:46:20.000000000',
           '2020-11-11T20:49:30.000000000', '2020-11-11T20:51:00.000000000',
           '2020-11-11T20:52:30.000000000', '2020-11-11T20:56:08.000000000',
           '2020-11-11T20:58:32.000000000', '2020-11-11T21:02:20.000000000',
           '2020-11-11T21:10:22.000000000', '2020-11-11T21:11:57.000000000',
           '2020-11-11T21:12:05.000000000', '2020-11-11T21:14:00.000000000',
           '2020-11-11T21:18:59.000000000', '2020-11-11T21:27:47.000000000',
           '2020-11-11T21:32:15.000000000', '2020-11-11T21:35:30.000000000',
           '2020-11-11T21:39:52.000000000', '2020-11-11T21:42:00.000000000',
           '2020-11-11T22:08:00.000000000', '2020-11-11T22:09:00.000000000',
           '2020-11-11T22:10:55.000000000', '2020-11-11T22:18:58.000000000',
           '2020-11-11T22:20:49.000000000', '2020-11-11T22:21:46.000000000',
           '2020-11-11T22:34:00.000000000', '2020-11-11T22:38:15.000000000',
           '2020-11-11T22:42:00.000000000', '2020-11-11T22:49:49.000000000',
           '2020-11-11T22:53:07.000000000', '2020-11-11T22:56:32.000000000',
           '2020-11-11T22:57:49.000000000', '2020-11-11T23:02:02.000000000',
           '2020-11-11T23:27:28.000000000', '2020-11-11T23:33:38.000000000',
           '2020-11-11T23:36:00.000000000', '2020-11-11T23:42:19.000000000',
           '2020-11-11T23:45:06.000000000', '2020-11-11T23:59:31.000000000',
           '2020-11-11T23:59:32.000000000'], dtype='datetime64[ns]')

• Data variables: (15)
  • CYCLE_NUMBER
    (N_PROF)
    int64
    103 111 27 100 ... 10 68 189 121

    long_name :

    Float cycle number

    conventions :

    0..N, 0 : launch cycle (if exists), 1 : first complete cycle

    casted :

    1

    array([103, 111,  27, 100, 146,   7, 293,   1,  55,   1, 158, 188,  10,
            31,   5,  88, 357,  80,  89, 103, 299, 246,  13, 189, 196, 190,
            38,  62, 109, 159, 116, 191, 192, 104,   2, 170, 222,  27, 185,
           108, 148, 117,  83, 125, 148, 333,  52, 152,  52,  38, 194, 239,
           184, 138, 139, 141,  11, 165,  31,  86,   4, 100,  11, 111, 136,
            11,   4,  46, 298, 118,  50,  46,   8,   4, 128,  31,  30, 104,
            60,  54, 136,  79,  25,  90, 128,  36,  56,  24,  56,  89, 218,
            45, 216,  53,  77,  70,  95,  40,  70,  41,  35,  12, 133, 133,
           215, 151,  84,  70,  10,   2, 105,   2,   8, 240, 263,  31,  33,
           112,  54,  34, 237, 128, 307, 123, 226,  75, 141, 149,  68, 122,
            85,  77, 172,  88, 251,  13, 121, 238,  13, 172, 168, 232, 243,
            66, 140, 250, 102, 184, 139,   4, 101,  23, 238, 214,  54, 208,
           190, 147,  75, 148,   5,  92, 139, 219, 152,  32,  38, 120, 290,
            31, 103, 153,  56,  45,  31,  55, 244, 270,  54, 299,  82, 106,
           112, 188,  35, 229,  79, 114, 121, 400, 246,   9, 141,  24,  47,
           111, 188, 351, 172,  10, 102, 406,  22,  82,  15, 159,  37,  27,
             8, 159,   3, 401,  91, 146, 250, 407, 144, 115, 124, 116, 193,
            87, 150,   4, 155, 351, 186, 110, 253, 117, 180,  48, 155, 156,
           131, 114, 223,  45,  77, 168, 224, 151, 165,  90, 165, 149, 165,
           165, 161,  46, 107,  66,  27, 124, 147, 130,  37,  83,   2, 294,
           247, 149,  40,  38, 194, 157, 145, 112, 332, 245, 215, 124,  25,
            31,  62, 104, 191, 226,  25, 265, 147,  46,  76,  41,  66,   6,
             8,  99, 107, 107, 147, 159, 379,  70,  83, 112,  46,   7, 285,
           108, 132,  79,  62,  49,  34,  12,  44, 185,  35, 187, 204, 101,
           241,  55, 112, 342,  35,  69,  85,  80, 188, 133, 112, 239, 147,
           131,  47,  29,  29,  99, 107,   8,  54, 163, 109, 280, 141, 256,
            30,  38,  28, 109, 251,  78, 147, 143, 277, 286,  85, 293,  38,
            91,  81,  95, 114,  39,  93,  18, 148, 149,  11, 114,  93, 181,
            86, 116, 117, 110, 140,  52,  37,   9, 112, 138, 121, 313, 299,
           102,   9, 272, 122, 171, 232,   9,   9, 104, 147,  90,   3, 281,
             4, 113, 138, 230,   9,  10,  68, 189, 121])

  • DATA_MODE
    (N_PROF)
    <U1
    'D' 'D' 'D' 'D' ... 'D' 'D' 'D' 'D'

    long_name :

    Delayed mode or real time data

    conventions :

    R : real time; D : delayed mode; A : real time with adjustment

    casted :

    1

    array(['D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D',
           'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D',
           'D', 'D', 'D', 'D', 'R', 'D', 'D', 'D', 'R', 'D', 'D', 'D', 'D',
           'D', 'D', 'D', 'D', 'A', 'D', 'D', 'D', 'D', 'R', 'A', 'D', 'D',
           'D', 'D', 'D', 'D', 'R', 'D', 'D', 'R', 'D', 'D', 'R', 'D', 'D',
           'R', 'R', 'R', 'D', 'D', 'R', 'R', 'D', 'R', 'D', 'D', 'D', 'D',
           'D', 'D', 'D', 'R', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D',
           'D', 'D', 'D', 'A', 'D', 'D', 'D', 'D', 'D', 'R', 'R', 'D', 'D',
           'D', 'D', 'R', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D',
           'A', 'D', 'D', 'R', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D',
           'R', 'A', 'D', 'D', 'D', 'D', 'D', 'R', 'D', 'A', 'D', 'D', 'D',
           'D', 'R', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D',
           'D', 'D', 'R', 'D', 'D', 'A', 'D', 'D', 'D', 'D', 'D', 'D', 'D',
           'A', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D',
           'D', 'D', 'D', 'D', 'D', 'D', 'D', 'R', 'R', 'D', 'D', 'D', 'D',
           'D', 'D', 'D', 'D', 'D', 'D', 'R', 'A', 'D', 'D', 'D', 'D', 'D',
           'D', 'D', 'D', 'R', 'A', 'D', 'D', 'R', 'D', 'D', 'D', 'D', 'D',
           'D', 'D', 'D', 'A', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D',
           'R', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D',
           'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D',
           'D', 'D', 'D', 'D', 'D', 'A', 'D', 'D', 'D', 'D', 'D', 'D', 'R',
           'D', 'A', 'D', 'D', 'D', 'R', 'D', 'D', 'D', 'D', 'D', 'D', 'D',
           'D', 'D', 'D', 'D', 'D', 'A', 'D', 'D', 'D', 'D', 'R', 'D', 'D',
           'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D',
           'D', 'D', 'D', 'D', 'D', 'D', 'R', 'D', 'D', 'D', 'D', 'D', 'D',
           'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'A', 'D', 'D',
           'D', 'R', 'A', 'D', 'D', 'D', 'D', 'A', 'D', 'D', 'D', 'A', 'D',
           'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D',
           'D', 'D', 'D', 'D', 'R', 'A', 'D', 'D', 'D', 'D', 'D', 'D', 'D',
           'D', 'D', 'R', 'D', 'D', 'D', 'D', 'D', 'R', 'D', 'D', 'D', 'D',
           'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D'], dtype='<U1')

  • DIRECTION
    (N_PROF)
    <U1
    'A' 'A' 'A' 'A' ... 'A' 'A' 'A' 'A'

    long_name :

    Direction of the station profiles

    conventions :

    A: ascending profiles, D: descending profiles

    casted :

    1

    array(['A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A',
           'A', 'A', 'A', 'A', 'A', 'D', 'A', 'A', 'A', 'A', 'A', 'A', 'A',
           'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A',
           'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A',
           'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A',
           'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A',
           'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A',
           'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A',
           'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A',
           'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A',
           'D', 'A', 'A', 'A', 'A', 'A', 'A', 'D', 'A', 'A', 'A', 'A', 'A',
           'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A',
           'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A',
           'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A',
           'A', 'A', 'A', 'A', 'D', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'D',
           'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A',
           'A', 'A', 'A', 'D', 'A', 'A', 'A', 'D', 'A', 'A', 'A', 'A', 'A',
           'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A',
           'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A',
           'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A',
           'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A',
           'A', 'A', 'A', 'D', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A',
           'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A',
           'A', 'A', 'A', 'A', 'D', 'A', 'A', 'D', 'A', 'A', 'A', 'A', 'D',
           'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A',
           'A', 'A', 'A', 'A', 'A', 'A', 'A', 'D', 'A', 'A', 'A', 'A', 'A',
           'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A',
           'A', 'A', 'A', 'A', 'A', 'A', 'D', 'A', 'A', 'A', 'A', 'A', 'A',
           'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A',
           'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'D', 'A', 'A',
           'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A'], dtype='<U1')

  • PLATFORM_NUMBER
    (N_PROF)
    int64
    6903788 5905256 ... 5902419 5905204

    long_name :

    Float unique identifier

    conventions :

    WMO float identifier : A9IIIII

    casted :

    1

    array([6903788, 5905256, 5906615, 3902139, 5904788, 2902855, 4901633,
           5906383, 2903425, 5906404, 6901726, 5902437, 5905476, 5905449,
           5906294, 5905764, 5903661, 5905965, 5905764, 4903236, 5904336,
           4901625, 6902965, 5904616, 6903273, 5904994, 5906117, 6902988,
           6902964, 5902476, 3901983, 5902411, 5902425, 6903788, 6903723,
           3901254, 5904903, 5906219, 5904651, 2902843, 5904815, 5905253,
           5905705, 4902417, 1901822, 5904526, 3901307, 3901601, 4902471,
           3902216, 3901223, 4901702, 5904998, 3901284, 6903220, 3901294,
           4902510, 1901819, 5906208, 6901208, 4902501, 6901278, 4902509,
           5905265, 5905076, 4902505, 4902524, 4902483, 4901444, 3901622,
           4902484, 4902492, 5906300, 4902523, 6902875, 5906215, 5905451,
           5904846, 6901255, 7900524, 6902873, 6901254, 5906618, 3901673,
           6902870, 7900542, 4903019, 5906617, 2903620, 6901266, 6902905,
           2902771, 5904410, 7900534, 4902455, 7900512, 3901301, 6900892,
           7900515, 6900893, 7900596, 6903786, 2903339, 2903338, 3901061,
           3901977, 3902110, 7900511, 4902546, 2903642, 6903788, 6901281,
           2903639, 6902944, 6903266, 2903624, 3902208, 3901538, 6903558,
           5906213, 3902109, 2903340, 1901712, 2903344, 5904547, 6903026,
           3901540, 3901526, 6902837, 2903345, 3902110, 4902456, 4902300,
           6901763, 2901548, 6901604, 6902686, 3902109, 6902974, 6901925,
    ...
           4901633, 4901628, 5905170, 1902228, 4903260, 5906040, 6901194,
           5904798, 3901539, 2901849, 5904057, 5904418, 5905284, 2902302,
           1901752, 2903387, 4903007, 5905759, 7900115, 2902301, 3902121,
           5904824, 2902289, 3901551, 3902238, 2902267, 2902856, 6901934,
           7900626, 2902280, 2902282, 3901870, 4901820, 4901241, 3901995,
           5905654, 5905260, 2902288, 6901935, 2902525, 6903788, 5905196,
           5905225, 5905796, 3902148, 5906127, 1902054, 5906105, 2902396,
           3902184, 5902440, 5904569, 4902323, 4902354, 2903402, 3901794,
           3901261, 5905445, 3902389, 3901971, 6902834, 5902439, 6902762,
           5905319, 5902349, 5904836, 5905208, 4903245, 4903261, 4903228,
           2902759, 5905391, 5906152, 3901312, 4902117, 6903788, 1901304,
           3901543, 1901698, 5905453, 3902399, 5905850, 5905345, 3901813,
           5905653, 5905187, 7900468, 2901748, 2901736, 4903259, 6901144,
           6901985, 1902194, 5905725, 3901969, 1902070, 6901986, 1902191,
           5906397, 1901814, 5904813, 1902259, 3901938, 3902107, 6902655,
           6903270, 4902920, 4903035, 6903788, 2902223, 2903388, 5906126,
           6903034, 5906037, 7900506, 5905250, 4901440, 5904360, 2902839,
           6903032, 6903698, 4902376, 2902972, 5902376, 5906278, 6902976,
           5905216, 6903025, 5902529, 5906403, 5902338, 5906400, 5905132,
           3901256, 7900203, 6903030, 4903277, 1902048, 5902419, 5905204])

  • POSITION_QC
    (N_PROF)
    int64
    1 1 1 1 1 1 1 1 ... 1 1 1 1 1 1 1 1

    long_name :

    Global quality flag of POSITION_QC profile

    conventions :

    Argo reference table 2a

    casted :

    1

    array([1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1])

  • PRES
    (N_PROF, N_LEVELS)
    float32
    2.9 3.9 5.1 6.1 ... nan nan nan nan

    long_name :

    Sea Pressure

    standard_name :

    sea_water_pressure

    units :

    decibar

    valid_min :

    0.0

    valid_max :

    12000.0

    resolution :

    0.1

    axis :

    Z

    casted :

    1

    array([[ 2.9 ,  3.9 ,  5.1 , ...,   nan,   nan,   nan],
           [ 1.  ,  1.96,  3.04, ...,   nan,   nan,   nan],
           [ 1.8 ,  2.52,  3.44, ..., 98.52, 99.52,   nan],
           ...,
           [ 1.  ,  2.04,  2.88, ...,   nan,   nan,   nan],
           [ 1.  ,  1.96,  3.  , ...,   nan,   nan,   nan],
           [ 4.36,  5.86,  7.96, ...,   nan,   nan,   nan]], dtype=float32)

  • PRES_ERROR
    (N_PROF, N_LEVELS)
    float32
    2.4 2.4 2.4 2.4 ... nan nan nan nan

    long_name :

    ERROR IN Sea Pressure

    standard_name :

    sea_water_pressure

    units :

    decibar

    valid_min :

    0.0

    valid_max :

    12000.0

    resolution :

    0.1

    axis :

    Z

    casted :

    1

    array([[2.4, 2.4, 2.4, ..., nan, nan, nan],
           [2.4, 2.4, 2.4, ..., nan, nan, nan],
           [2.4, 2.4, 2.4, ..., 2.4, 2.4, nan],
           ...,
           [2.4, 2.4, 2.4, ..., nan, nan, nan],
           [2.4, 2.4, 2.4, ..., nan, nan, nan],
           [2.4, 2.4, 2.4, ..., nan, nan, nan]], dtype=float32)

  • PRES_QC
    (N_PROF)
    int64
    1 1 1 1 1 1 1 1 ... 1 1 1 1 1 1 1 1

    long_name :

    Global quality flag of PRES_QC profile

    conventions :

    Argo reference table 2a

    casted :

    1

    array([1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1])

  • PSAL
    (N_PROF, N_LEVELS)
    float32
    38.03 38.03 38.03 ... nan nan nan

    long_name :

    PRACTICAL SALINITY

    standard_name :

    sea_water_salinity

    units :

    psu

    valid_min :

    0.0

    valid_max :

    43.0

    resolution :

    0.001

    casted :

    1

    array([[38.029  , 38.027  , 38.028  , ...,      nan,      nan,      nan],
           [36.45869, 36.46983, 36.49538, ...,      nan,      nan,      nan],
           [34.52805, 34.52892, 34.52782, ..., 34.5424 , 34.53151,      nan],
           ...,
           [35.69861, 35.70201, 35.70206, ...,      nan,      nan,      nan],
           [36.124  , 36.1242 , 36.1232 , ...,      nan,      nan,      nan],
           [35.62193, 35.62105, 35.62014, ...,      nan,      nan,      nan]],
          dtype=float32)

  • PSAL_ERROR
    (N_PROF, N_LEVELS)
    float32
    0.01 0.01 0.01 0.01 ... nan nan nan

    long_name :

    ERROR IN PRACTICAL SALINITY

    standard_name :

    sea_water_salinity

    units :

    psu

    valid_min :

    0.0

    valid_max :

    43.0

    resolution :

    0.001

    casted :

    1

    array([[0.01   , 0.01   , 0.01   , ...,     nan,     nan,     nan],
           [0.01151, 0.01545, 0.0137 , ...,     nan,     nan,     nan],
           [0.01   , 0.01   , 0.01   , ..., 0.01   , 0.01   ,     nan],
           ...,
           [0.01   , 0.01   , 0.01   , ...,     nan,     nan,     nan],
           [0.01   , 0.01   , 0.01   , ...,     nan,     nan,     nan],
           [0.01   , 0.01   , 0.01   , ...,     nan,     nan,     nan]],
          dtype=float32)

  • PSAL_QC
    (N_PROF)
    int64
    1 1 1 1 1 1 1 1 ... 1 1 1 1 1 1 1 1

    long_name :

    Global quality flag of PSAL_QC profile

    conventions :

    Argo reference table 2a

    casted :

    1

    array([1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1])

  • TEMP
    (N_PROF, N_LEVELS)
    float32
    22.01 22.02 22.01 ... nan nan nan

    long_name :

    SEA TEMPERATURE IN SITU ITS-90 SCALE

    standard_name :

    sea_water_temperature

    units :

    degree_Celsius

    valid_min :

    -2.0

    valid_max :

    40.0

    resolution :

    0.001

    casted :

    1

    array([[22.014, 22.017, 22.012, ...,    nan,    nan,    nan],
           [25.116, 25.037, 24.862, ...,    nan,    nan,    nan],
           [ 9.907,  9.906,  9.908, ...,  9.271,  9.198,    nan],
           ...,
           [20.416, 20.419, 20.419, ...,    nan,    nan,    nan],
           [26.863, 26.858, 26.846, ...,    nan,    nan,    nan],
           [22.563, 22.564, 22.563, ...,    nan,    nan,    nan]],
          dtype=float32)

  • TEMP_ERROR
    (N_PROF, N_LEVELS)
    float32
    0.002 0.002 0.002 ... nan nan nan

    long_name :

    ERROR IN SEA TEMPERATURE IN SITU ITS-90 SCALE

    standard_name :

    sea_water_temperature

    units :

    degree_Celsius

    valid_min :

    -2.0

    valid_max :

    40.0

    resolution :

    0.001

    casted :

    1

    array([[0.002  , 0.002  , 0.002  , ...,     nan,     nan,     nan],
           [0.00224, 0.00224, 0.00224, ...,     nan,     nan,     nan],
           [0.002  , 0.002  , 0.002  , ..., 0.002  , 0.002  ,     nan],
           ...,
           [0.00224, 0.00224, 0.00224, ...,     nan,     nan,     nan],
           [0.00224, 0.00224, 0.00224, ...,     nan,     nan,     nan],
           [0.002  , 0.002  , 0.002  , ...,     nan,     nan,     nan]],
          dtype=float32)

  • TEMP_QC
    (N_PROF)
    int64
    1 1 1 1 1 1 1 1 ... 1 1 1 1 1 1 1 1

    long_name :

    Global quality flag of TEMP_QC profile

    conventions :

    Argo reference table 2a

    casted :

    1

    array([1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1])

  • TIME_QC
    (N_PROF)
    int64
    1 1 1 1 1 1 1 1 ... 1 1 1 1 1 1 1 1

    long_name :

    Global quality flag of TIME_QC profile

    conventions :

    Argo reference table 2a

    casted :

    1

    array([1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1])

• Indexes: (2)
  • N_PROF
    PandasIndex

    PandasIndex(Index([377, 245, 308, 118, 213,  54, 132, 301,  67, 306,
           ...
           178, 303, 232,  78, 386, 361, 176,  25, 183, 239],
          dtype='int64', name='N_PROF', length=399))

  • N_LEVELS
    PandasIndex

    PandasIndex(Index([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,
           18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,
           36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53,
           54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71,
           72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89,
           90, 91, 92, 93, 94, 95, 96, 97, 98, 99],
          dtype='int64', name='N_LEVELS'))

• Attributes: (8)

  DATA_ID :

  ARGO

  DOI :

  http://doi.org/10.17882/42182

  Fetched_from :

  https://erddap.ifremer.fr/erddap

  Fetched_by :

  pvb

  Fetched_date :

  2024/08/21

  Fetched_constraints :

  [x=-180.00/180.00; y=-90.00/90.00; z=0.0/100.0; t=2020-11-11/2020-11-12]

  Fetched_uri :

  ['https://erddap.ifremer.fr/erddap/tabledap/ArgoFloats.nc?data_mode,latitude,longitude,position_qc,time,time_qc,direction,platform_number,cycle_number,config_mission_number,vertical_sampling_scheme,pres,temp,psal,pres_qc,temp_qc,psal_qc,pres_adjusted,temp_adjusted,psal_adjusted,pres_adjusted_qc,temp_adjusted_qc,psal_adjusted_qc,pres_adjusted_error,temp_adjusted_error,psal_adjusted_error&longitude>=-180&longitude<=180&latitude>=-90&latitude<=90&pres>=0&pres<=100&time>=1605052800.0&time<=1605139200.0&distinct()&orderBy("time,pres")']

  history :

  Variables filtered according to DATA_MODE; Variables selected according to QC; Transformed with point2profile

and we can plot all the profiles measured during this month:

scatter_map(data,legend = False);

/Users/pvb/miniconda3/envs/AOS_clean/lib/python3.12/site-packages/argopy/plot/plot.py:409: UserWarning: More than one N_LEVELS found in this dataset, scatter_map will use the first level only
  warnings.warn("More than one N_LEVELS found in this dataset, scatter_map will use the first level only")

We can look at the upper 10db temperature values:

temp = apDS.where(apDS['PRES']<10)['TEMP']

lon=temp.LONGITUDE
lat=temp.LATITUDE

fig,ax = plt.subplots(figsize=(18,10),subplot_kw={'projection': ccrs.PlateCarree()})
ax.set_global()

# data for each basin
cs=ax.scatter(lon,lat,c=temp,cmap="RdBu_r",vmin=-2, vmax=30, edgecolor='none')
ax.scatter(lon,lat,c=temp,cmap="RdBu_r", vmin=-2, vmax=30, edgecolor='none')
ax.scatter(lon,lat,c=temp,cmap="RdBu_r", vmin=-2, vmax=30, edgecolor='none')

ax.coastlines()
ax.add_feature(cartopy.feature.LAND.with_scale('110m'))
ax.gridlines(draw_labels=True, x_inline=False, y_inline=False);

#colorbar
cbar=fig.colorbar(cs,ax=ax,extend='both',orientation='horizontal',shrink=.8,aspect=40)
cbar.set_label(temp.long_name)