Accessing trajectory data

Accessing trajectory data#

First, import libraries:

import numpy as np
import xarray as xr
import netCDF4
from matplotlib import pyplot as plt
%matplotlib inline

Rtraj = xr.open_dataset('../../Data/6901254/6901254_Rtraj.nc')

Rtraj

<xarray.Dataset>
Dimensions:                              (N_PARAM: 3, N_MEASUREMENT: 4289, N_CYCLE: 66, N_HISTORY: 1043)
Dimensions without coordinates: N_PARAM, N_MEASUREMENT, N_CYCLE, N_HISTORY
Data variables: (12/102)
    DATA_TYPE                            object b'Argo trajectory '
    FORMAT_VERSION                       object b'3.1 '
    HANDBOOK_VERSION                     object b'1.2 '
    REFERENCE_DATE_TIME                  object b'19500101000000'
    DATE_CREATION                        object b'20190115112520'
    DATE_UPDATE                          object b'20200625131710'
    ...                                   ...
    HISTORY_PARAMETER                    (N_HISTORY) object b'               ...
    HISTORY_PREVIOUS_VALUE               (N_HISTORY) float32 nan nan ... nan nan
    HISTORY_INDEX_DIMENSION              (N_HISTORY) object nan nan ... nan nan
    HISTORY_START_INDEX                  (N_HISTORY) float64 nan nan ... nan nan
    HISTORY_STOP_INDEX                   (N_HISTORY) float64 nan nan ... nan nan
    HISTORY_QCTEST                       (N_HISTORY) object b'               ...
Attributes:
    title:                        Argo float trajectory file
    institution:                  CORIOLIS
    source:                       Argo float
    history:                      2019-01-15T11:25:20Z creation; 2020-06-25T1...
    references:                   http://www.argodatamgt.org/Documentation
    user_manual_version:          3.1
    Conventions:                  Argo-3.1 CF-1.6
    featureType:                  trajectory
    decoder_version:              CODA_035b
    comment_on_resolution:        JULD and PRES variable resolutions depend o...
    comment_on_measurement_code:  Meaning of some specific measurement codes ...

xarray.Dataset

Dimensions:
- N_PARAM: 3
- N_MEASUREMENT: 4289
- N_CYCLE: 66
- N_HISTORY: 1043
Coordinates: (0)

Data variables: (102)

DATA_TYPE
()
object
...
long_name :
Data type
conventions :
Argo reference table 1
```
array(b'Argo trajectory ', dtype=object)
```
FORMAT_VERSION
()
object
...
long_name :
File format version
```
array(b'3.1 ', dtype=object)
```
HANDBOOK_VERSION
()
object
...
long_name :
Data handbook version
```
array(b'1.2 ', dtype=object)
```
REFERENCE_DATE_TIME
()
object
...
long_name :
Date of reference for Julian days
conventions :
YYYYMMDDHHMISS
```
array(b'19500101000000', dtype=object)
```
DATE_CREATION
()
object
...
long_name :
Date of file creation
conventions :
YYYYMMDDHHMISS
```
array(b'20190115112520', dtype=object)
```
DATE_UPDATE
()
object
...
long_name :
Date of update of this file
conventions :
YYYYMMDDHHMISS
```
array(b'20200625131710', dtype=object)
```
PLATFORM_NUMBER
()
object
...
long_name :
Float unique identifier
conventions :
WMO float identifier : A9IIIII
```
array(b'6901254 ', dtype=object)
```

PROJECT_NAME

()

object

...

long_name :: Name of the project

array(b'ARGO SPAIN                                                      ',
      dtype=object)

PI_NAME

()

object

...

long_name :: Name of the principal investigator

array(b'Pedro Velez                                                     ',
      dtype=object)

TRAJECTORY_PARAMETERS
(N_PARAM)
object
...
long_name :
List of available parameters for the station
conventions :
Argo reference table 3
```
array([b'PRES            ', b'TEMP            ', b'PSAL            '],
      dtype=object)
```
DATA_CENTRE
()
object
...
long_name :
Data centre in charge of float data processing
conventions :
Argo reference table 4
```
array(b'IF', dtype=object)
```
DATA_STATE_INDICATOR
()
object
...
long_name :
Degree of processing the data have passed through
conventions :
Argo reference table 6
```
array(b'2B  ', dtype=object)
```
PLATFORM_TYPE
()
object
...
long_name :
Type of float
conventions :
Argo reference table 23
```
array(b'ARVOR                           ', dtype=object)
```
FLOAT_SERIAL_NO
()
object
...
long_name :
Serial number of the float
```
array(b'AL2500-17SP003                  ', dtype=object)
```
FIRMWARE_VERSION
()
object
...
long_name :
Instrument firmware version
```
array(b'n/a                             ', dtype=object)
```
WMO_INST_TYPE
()
object
...
long_name :
Coded instrument type
conventions :
Argo reference table 8
```
array(b'844 ', dtype=object)
```
POSITIONING_SYSTEM
()
object
...
long_name :
Positioning system
```
array(b'ARGOS   ', dtype=object)
```
JULD
(N_MEASUREMENT)
datetime64[ns]
...
long_name :
Julian day (UTC) of each measurement relative to REFERENCE_DATE_TIME
standard_name :
time
conventions :
Relative julian days with decimal part (as parts of day)
resolution :
1.1574074074074073e-05
axis :
T
comment_on_resolution :
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
```
array(['2018-10-23T17:55:03.000001536', '2018-10-23T17:32:27.000004096',
       '2018-10-23T17:32:27.000004096', ..., '2020-06-24T12:09:08.000004864',
       '2020-06-24T13:00:23.000002560',                           'NaT'],
      dtype='datetime64[ns]')
```
JULD_STATUS
(N_MEASUREMENT)
object
...
long_name :
Status of the date and time
conventions :
Argo reference table 19
```
array([b'4', b'4', b'4', ..., b'4', b'4', b'9'], dtype=object)
```
JULD_QC
(N_MEASUREMENT)
object
...
long_name :
Quality on date and time
conventions :
Argo reference table 2
```
array([b'1', b'1', b'1', ..., b'1', b'1', b'9'], dtype=object)
```
JULD_ADJUSTED
(N_MEASUREMENT)
datetime64[ns]
...
long_name :
Adjusted julian day (UTC) of each measurement relative to REFERENCE_DATE_TIME
standard_name :
time
conventions :
Relative julian days with decimal part (as parts of day)
resolution :
1.1574074074074073e-05
axis :
T
comment_on_resolution :
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
```
array([                          'NaT', '2018-10-23T17:32:27.000004096',
       '2018-10-23T17:32:27.000004096', ..., '2020-06-24T12:09:08.000004864',
       '2020-06-24T13:00:23.000002560',                           'NaT'],
      dtype='datetime64[ns]')
```
JULD_ADJUSTED_STATUS
(N_MEASUREMENT)
object
...
long_name :
Status of the JULD_ADJUSTED date
conventions :
Argo reference table 19
```
array([nan, b'4', b'4', ..., b'4', b'4', b'9'], dtype=object)
```
JULD_ADJUSTED_QC
(N_MEASUREMENT)
object
...
long_name :
Quality on adjusted date and time
conventions :
Argo reference table 2
```
array([nan, b'1', b'1', ..., b'1', b'1', b'9'], dtype=object)
```
LATITUDE
(N_MEASUREMENT)
float64
...
long_name :
Latitude of each location
standard_name :
latitude
units :
degree_north
valid_min :
-90.0
valid_max :
90.0
axis :
Y
```
array([29.166,    nan, 29.163, ..., 29.408,    nan,    nan])
```
LONGITUDE
(N_MEASUREMENT)
float64
...
long_name :
Longitude of each location
standard_name :
longitude
units :
degree_east
valid_min :
-180.0
valid_max :
180.0
axis :
X
```
array([-15.501,     nan, -15.504, ..., -20.393,     nan,     nan])
```
POSITION_ACCURACY
(N_MEASUREMENT)
object
...
long_name :
Estimated accuracy in latitude and longitude
conventions :
Argo reference table 5
```
array([nan, nan, b'2', ..., b'3', nan, nan], dtype=object)
```
POSITION_QC
(N_MEASUREMENT)
object
...
long_name :
Quality on position
conventions :
Argo reference table 2
```
array([b'1', nan, b'1', ..., b'1', nan, nan], dtype=object)
```
CYCLE_NUMBER
(N_MEASUREMENT)
float64
...
long_name :
Float cycle number of the measurement
conventions :
0...N, 0 : launch cycle, 1 : first complete cycle
```
array([-1.,  0.,  0., ..., 65., 65., 65.])
```
CYCLE_NUMBER_ADJUSTED
(N_MEASUREMENT)
float64
...
long_name :
Adjusted float cycle number of the measurement
conventions :
0...N, 0 : launch cycle, 1 : first complete cycle
```
array([nan, nan, nan, ..., nan, nan, nan])
```
MEASUREMENT_CODE
(N_MEASUREMENT)
float64
...
long_name :
Flag referring to a measurement event in the cycle
conventions :
Argo reference table 15
```
array([  0., 702., 703., ..., 703., 704., 800.])
```
AXES_ERROR_ELLIPSE_MAJOR
(N_MEASUREMENT)
float32
...
long_name :
Major axis of error ellipse from positioning system
units :
meters
```
array([nan, nan, nan, ..., nan, nan, nan], dtype=float32)
```
AXES_ERROR_ELLIPSE_MINOR
(N_MEASUREMENT)
float32
...
long_name :
Minor axis of error ellipse from positioning system
units :
meters
```
array([nan, nan, nan, ..., nan, nan, nan], dtype=float32)
```
AXES_ERROR_ELLIPSE_ANGLE
(N_MEASUREMENT)
float32
...
long_name :
Angle of error ellipse from positioning system
units :
Degrees (from North when heading East)
```
array([nan, nan, nan, ..., nan, nan, nan], dtype=float32)
```
SATELLITE_NAME
(N_MEASUREMENT)
object
...
long_name :
Satellite name from positioning system
```
array([nan, nan, b'P', ..., b'C', nan, nan], dtype=object)
```
PRES
(N_MEASUREMENT)
float32
...
long_name :
Sea water pressure, equals 0 at sea-level
standard_name :
sea_water_pressure
units :
decibar
valid_min :
0.0
valid_max :
12000.0
C_format :
%7.1f
FORTRAN_format :
F7.1
resolution :
1.0
comment_on_resolution :
PRES resolution is 1 dbar, except for measurement codes [150 198 398 497 498 901] for which PRES resolution is 10 dbar
axis :
Z
```
array([nan, nan, nan, ..., nan, nan, nan], dtype=float32)
```
PRES_QC
(N_MEASUREMENT)
object
...
long_name :
quality flag
conventions :
Argo reference table 2
```
array([nan, nan, nan, ..., nan, nan, nan], dtype=object)
```
PRES_ADJUSTED
(N_MEASUREMENT)
float32
...
long_name :
Sea water pressure, equals 0 at sea-level
standard_name :
sea_water_pressure
units :
decibar
valid_min :
0.0
valid_max :
12000.0
C_format :
%7.1f
FORTRAN_format :
F7.1
resolution :
1.0
comment_on_resolution :
PRES_ADJUSTED resolution is 1 dbar, except for measurement codes [150 198 398 497 498 901] for which PRES_ADJUSTED resolution is 10 dbar
axis :
Z
```
array([nan, nan, nan, ..., nan, nan, nan], dtype=float32)
```
PRES_ADJUSTED_QC
(N_MEASUREMENT)
object
...
long_name :
quality flag
conventions :
Argo reference table 2
```
array([nan, nan, nan, ..., nan, nan, nan], dtype=object)
```
PRES_ADJUSTED_ERROR
(N_MEASUREMENT)
float32
...
long_name :
Contains the error on the adjusted values as determined by the delayed mode QC process
units :
decibar
C_format :
%7.1f
FORTRAN_format :
F7.1
resolution :
1.0
```
array([nan, nan, nan, ..., nan, nan, nan], dtype=float32)
```
TEMP
(N_MEASUREMENT)
float32
...
long_name :
Sea temperature in-situ ITS-90 scale
standard_name :
sea_water_temperature
units :
degree_Celsius
valid_min :
-2.5
valid_max :
40.0
C_format :
%9.3f
FORTRAN_format :
F9.3
resolution :
0.001
```
array([nan, nan, nan, ..., nan, nan, nan], dtype=float32)
```
TEMP_QC
(N_MEASUREMENT)
object
...
long_name :
quality flag
conventions :
Argo reference table 2
```
array([nan, nan, nan, ..., nan, nan, nan], dtype=object)
```
TEMP_ADJUSTED
(N_MEASUREMENT)
float32
...
long_name :
Sea temperature in-situ ITS-90 scale
standard_name :
sea_water_temperature
units :
degree_Celsius
valid_min :
-2.5
valid_max :
40.0
C_format :
%9.3f
FORTRAN_format :
F9.3
resolution :
0.001
```
array([nan, nan, nan, ..., nan, nan, nan], dtype=float32)
```
TEMP_ADJUSTED_QC
(N_MEASUREMENT)
object
...
long_name :
quality flag
conventions :
Argo reference table 2
```
array([nan, nan, nan, ..., nan, nan, nan], dtype=object)
```
TEMP_ADJUSTED_ERROR
(N_MEASUREMENT)
float32
...
long_name :
Contains the error on the adjusted values as determined by the delayed mode QC process
units :
degree_Celsius
C_format :
%9.3f
FORTRAN_format :
F9.3
resolution :
0.001
```
array([nan, nan, nan, ..., nan, nan, nan], dtype=float32)
```
PSAL
(N_MEASUREMENT)
float32
...
long_name :
Practical salinity
standard_name :
sea_water_salinity
units :
psu
valid_min :
2.0
valid_max :
41.0
C_format :
%9.3f
FORTRAN_format :
F9.3
resolution :
0.001
```
array([nan, nan, nan, ..., nan, nan, nan], dtype=float32)
```
PSAL_QC
(N_MEASUREMENT)
object
...
long_name :
quality flag
conventions :
Argo reference table 2
```
array([nan, nan, nan, ..., nan, nan, nan], dtype=object)
```
PSAL_ADJUSTED
(N_MEASUREMENT)
float32
...
long_name :
Practical salinity
standard_name :
sea_water_salinity
units :
psu
valid_min :
2.0
valid_max :
41.0
C_format :
%9.3f
FORTRAN_format :
F9.3
resolution :
0.001
```
array([nan, nan, nan, ..., nan, nan, nan], dtype=float32)
```
PSAL_ADJUSTED_QC
(N_MEASUREMENT)
object
...
long_name :
quality flag
conventions :
Argo reference table 2
```
array([nan, nan, nan, ..., nan, nan, nan], dtype=object)
```
PSAL_ADJUSTED_ERROR
(N_MEASUREMENT)
float32
...
long_name :
Contains the error on the adjusted values as determined by the delayed mode QC process
units :
psu
C_format :
%9.3f
FORTRAN_format :
F9.3
resolution :
0.001
```
array([nan, nan, nan, ..., nan, nan, nan], dtype=float32)
```

JULD_DESCENT_START

(N_CYCLE)

datetime64[ns]

...

long_name :: Descent start date of the cycle
standard_name :: time
conventions :: Relative julian days with decimal part (as parts of day)
resolution :: 0.0006944444444444445

array([                          'NaT', '2018-10-23T20:54:00.000000000',
       '2018-10-25T14:09:00.000000000', '2018-10-27T13:54:59.999999744',
       '2018-10-29T13:42:00.000000256', '2018-10-31T13:44:00.000000000',
       '2018-11-02T13:53:00.000000000', '2018-11-12T13:44:00.000000000',
       '2018-11-22T13:40:00.000000000', '2018-12-02T13:52:00.000000000',
       '2018-12-12T13:44:00.000000000', '2018-12-22T13:46:59.999999744',
       '2019-01-01T13:38:00.000000000', '2019-01-11T13:42:00.000000256',
       '2019-01-21T13:50:00.000000256', '2019-01-31T13:55:00.000000256',
       '2019-02-10T13:40:00.000000000', '2019-02-20T14:03:00.000000256',
       '2019-03-02T13:48:00.000000000', '2019-03-12T13:48:00.000000000',
       '2019-03-22T13:48:00.000000000', '2019-04-01T13:44:00.000000000',
       '2019-04-11T13:52:00.000000000', '2019-04-21T14:00:59.999999744',
       '2019-05-01T13:57:59.999999744', '2019-05-11T13:44:59.999999744',
       '2019-05-21T13:52:59.999999744', '2019-05-31T13:52:59.999999744',
       '2019-06-10T13:38:00.000000000', '2019-06-20T13:49:00.000000000',
       '2019-06-30T13:54:00.000000000', '2019-07-10T13:51:00.000000000',
       '2019-07-20T13:54:00.000000000', '2019-07-30T13:48:00.000000000',
       '2019-08-09T13:49:00.000000000', '2019-08-19T13:59:00.000000000',
       '2019-08-29T13:43:00.000000000', '2019-09-08T13:36:00.000000000',
       '2019-09-18T13:41:00.000000000', '2019-09-28T13:37:00.000000000',
       '2019-10-08T13:37:00.000000000', '2019-10-18T13:41:59.999999744',
       '2019-10-28T13:33:00.000000000', '2019-11-07T13:44:00.000000000',
       '2019-11-17T13:42:59.999999744', '2019-11-27T13:26:59.999999744',
       '2019-12-07T13:47:59.999999744', '2019-12-17T13:38:00.000000000',
       '2019-12-27T13:41:59.999999744', '2020-01-06T13:33:00.000000000',
       '2020-01-16T13:49:59.999999744', '2020-01-26T13:36:59.999999744',
       '2020-02-05T13:48:00.000000000', '2020-02-15T13:39:00.000000000',
       '2020-02-25T13:31:00.000000000', '2020-03-06T13:39:00.000000000',
       '2020-03-16T13:37:00.000000000', '2020-03-26T13:43:00.000000000',
       '2020-04-05T13:21:00.000000000', '2020-04-15T13:30:00.000000000',
       '2020-04-25T13:46:59.999999744', '2020-05-05T13:41:59.999999744',
       '2020-05-15T13:33:00.000000000', '2020-05-25T13:42:00.000000256',
       '2020-06-04T13:33:00.000000000', '2020-06-14T13:33:00.000000000'],
      dtype='datetime64[ns]')

JULD_DESCENT_START_STATUS

(N_CYCLE)

object

...

long_name :: Status of descent start date of the cycle
conventions :: Argo reference table 19

array([nan, b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2',
       b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2',
       b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2',
       b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2',
       b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2',
       b'2', b'2', b'2', b'2', b'2', b'2'], dtype=object)

JULD_FIRST_STABILIZATION

(N_CYCLE)

datetime64[ns]

...

long_name :: Time when a float first becomes water-neutral
standard_name :: time
conventions :: Relative julian days with decimal part (as parts of day)
resolution :: 0.004166666666666667

array([                          'NaT', '2018-10-24T00:34:00.000000000',
       '2018-10-25T14:34:00.000000000', '2018-10-27T14:34:00.000000000',
       '2018-10-29T14:16:00.000000000', '2018-10-31T14:10:00.000000000',
       '2018-11-02T15:52:00.000000000', '2018-11-12T14:04:00.000000000',
       '2018-11-22T15:10:00.000000000', '2018-12-02T18:40:00.000000000',
       '2018-12-12T14:34:00.000000000', '2018-12-22T16:46:00.000000000',
       '2019-01-01T16:15:00.000000256', '2019-01-11T16:21:00.000000000',
       '2019-01-21T16:45:00.000000000', '2019-01-31T17:15:00.000000000',
       '2019-02-10T17:15:00.000000000', '2019-02-20T17:15:00.000000000',
       '2019-03-02T17:15:00.000000000', '2019-03-12T16:45:00.000000000',
       '2019-03-22T16:21:00.000000000', '2019-04-01T17:02:00.000000000',
       '2019-04-11T17:13:59.999999744', '2019-04-21T16:56:00.000000000',
       '2019-05-01T17:31:59.999999744', '2019-05-11T16:32:00.000000000',
       '2019-05-21T15:38:00.000000000', '2019-05-31T16:44:00.000000000',
       '2019-06-10T14:08:00.000000000', '2019-06-20T14:13:59.999999744',
       '2019-06-30T16:14:00.000000000', '2019-07-10T14:13:59.999999744',
       '2019-07-20T14:31:59.999999744', '2019-07-30T16:37:00.000000000',
       '2019-08-09T14:25:00.000000000', '2019-08-19T15:13:00.000000000',
       '2019-08-29T14:13:00.000000000', '2019-09-08T14:01:00.000000000',
       '2019-09-18T14:01:00.000000000', '2019-09-28T14:07:00.000000000',
       '2019-10-08T14:19:00.000000256', '2019-10-18T14:24:00.000000000',
       '2019-10-28T14:11:59.999999744', '2019-11-07T14:35:59.999999744',
       '2019-11-17T14:24:00.000000000', '2019-11-27T15:41:59.999999744',
       '2019-12-07T16:54:00.000000000', '2019-12-17T17:18:00.000000000',
       '2019-12-27T15:06:00.000000000', '2020-01-06T16:12:00.000000000',
       '2020-01-16T17:05:59.999999744', '2020-01-26T16:05:59.999999744',
       '2020-02-05T17:17:00.000000000', '2020-02-15T17:10:59.999999744',
       '2020-02-25T15:47:00.000000000', '2020-03-06T13:53:00.000000000',
       '2020-03-16T17:23:00.000000000', '2020-03-26T14:59:00.000000000',
       '2020-04-05T16:59:00.000000000', '2020-04-15T16:53:00.000000000',
       '2020-04-25T17:17:00.000000000', '2020-05-05T16:35:00.000000000',
       '2020-05-15T17:16:00.000000256', '2020-05-25T16:34:00.000000256',
       '2020-06-04T16:10:00.000000256', '2020-06-14T14:52:00.000000000'],
      dtype='datetime64[ns]')

JULD_FIRST_STABILIZATION_STATUS

(N_CYCLE)

object

...

long_name :: Status of time when a float first becomes water-neutral
conventions :: Argo reference table 19

array([nan, b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2',
       b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2',
       b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2',
       b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2',
       b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2',
       b'2', b'2', b'2', b'2', b'2', b'2'], dtype=object)

JULD_DESCENT_END

(N_CYCLE)

datetime64[ns]

...

long_name :: Descent end date of the cycle
standard_name :: time
conventions :: Relative julian days with decimal part (as parts of day)
resolution :: 0.0006944444444444445

array(['NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT',
       'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT',
       'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT',
       'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT',
       'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT',
       'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT',
       'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT'], dtype='datetime64[ns]')

JULD_DESCENT_END_STATUS

(N_CYCLE)

object

...

long_name :: Status of descent end date of the cycle
conventions :: Argo reference table 19

array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,
       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,
       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,
       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,
       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan], dtype=object)

JULD_PARK_START

(N_CYCLE)

datetime64[ns]

...

long_name :: Drift start date of the cycle
standard_name :: time
conventions :: Relative julian days with decimal part (as parts of day)
resolution :: 0.0006944444444444445

array([                          'NaT', '2018-10-24T05:16:00.000000000',
       '2018-10-26T00:06:00.000000000', '2018-10-27T23:52:00.000000000',
       '2018-10-29T23:29:00.000000000', '2018-10-31T22:46:00.000000000',
       '2018-11-03T00:15:00.000000000', '2018-11-12T23:11:00.000000256',
       '2018-11-23T00:27:00.000000000', '2018-12-02T18:44:00.000000000',
       '2018-12-12T23:22:00.000000000', '2018-12-23T00:39:00.000000000',
       '2019-01-01T23:50:00.000000256', '2019-01-12T01:14:00.000000000',
       '2019-01-22T00:23:00.000000000', '2019-02-01T00:47:00.000000000',
       '2019-02-11T00:07:00.000000000', '2019-02-21T00:00:00.000000000',
       '2019-03-03T00:10:00.000000000', '2019-03-13T00:00:00.000000000',
       '2019-03-22T23:35:00.000000256', '2019-04-01T21:09:00.000000000',
       '2019-04-11T23:39:00.000000000', '2019-04-21T23:08:00.000000000',
       '2019-05-02T00:24:59.999999744', '2019-05-12T00:32:00.000000000',
       '2019-05-22T01:25:00.000000000', '2019-05-31T22:40:00.000000000',
       '2019-06-10T23:31:00.000000000', '2019-06-20T23:21:00.000000000',
       '2019-07-01T02:00:59.999999744', '2019-07-10T23:37:59.999999744',
       '2019-07-21T00:40:59.999999744', '2019-07-31T00:26:00.000000000',
       '2019-08-10T00:06:00.000000000', '2019-08-20T00:06:00.000000000',
       '2019-08-30T00:20:00.000000256', '2019-09-08T23:33:00.000000000',
       '2019-09-19T00:18:00.000000000', '2019-09-28T23:14:00.000000000',
       '2019-10-08T22:59:00.000000000', '2019-10-18T23:50:00.000000000',
       '2019-10-28T23:50:00.000000000', '2019-11-08T00:11:00.000000000',
       '2019-11-17T23:55:00.000000000', '2019-11-27T22:28:59.999999744',
       '2019-12-08T00:09:59.999999744', '2019-12-17T23:10:00.000000000',
       '2019-12-27T23:24:00.000000000', '2020-01-06T23:39:59.999999744',
       '2020-01-16T23:52:00.000000000', '2020-01-26T23:39:00.000000000',
       '2020-02-05T21:45:00.000000000', '2020-02-15T21:40:59.999999744',
       '2020-02-25T23:08:00.000000000', '2020-03-07T00:36:00.000000000',
       '2020-03-17T00:14:00.000000000', '2020-03-26T22:30:00.000000000',
       '2020-04-05T21:03:00.000000000', '2020-04-15T21:52:00.000000000',
       '2020-04-25T22:44:00.000000000', '2020-05-05T23:34:00.000000000',
       '2020-05-15T21:30:00.000000256', '2020-05-25T21:34:00.000000000',
       '2020-06-04T22:50:00.000000256', '2020-06-14T21:51:00.000000256'],
      dtype='datetime64[ns]')

JULD_PARK_START_STATUS

(N_CYCLE)

object

...

long_name :: Status of drift start date of the cycle
conventions :: Argo reference table 19

array([nan, b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2',
       b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2',
       b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2',
       b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2',
       b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2',
       b'2', b'2', b'2', b'2', b'2', b'2'], dtype=object)

JULD_PARK_END

(N_CYCLE)

datetime64[ns]

...

long_name :: Drift end date of the cycle
standard_name :: time
conventions :: Relative julian days with decimal part (as parts of day)
resolution :: 0.0006944444444444445

array([                          'NaT', '2018-10-24T12:35:00.000000000',
       '2018-10-26T12:35:00.000000000', '2018-10-28T12:35:00.000000000',
       '2018-10-30T12:35:00.000000000', '2018-11-01T12:35:00.000000000',
       '2018-11-11T12:35:00.000000000', '2018-11-21T12:35:00.000000000',
       '2018-12-01T12:35:00.000000000', '2018-12-11T12:35:00.000000000',
       '2018-12-21T12:35:00.000000000', '2018-12-31T12:35:00.000000000',
       '2019-01-10T12:34:00.000000000', '2019-01-20T12:34:00.000000000',
       '2019-01-30T12:34:00.000000000', '2019-02-09T12:34:00.000000000',
       '2019-02-19T12:34:00.000000000', '2019-03-01T12:34:00.000000000',
       '2019-03-11T12:34:00.000000000', '2019-03-21T12:34:00.000000000',
       '2019-03-31T12:34:00.000000000', '2019-04-10T12:32:59.999999744',
       '2019-04-20T12:32:59.999999744', '2019-04-30T12:32:00.000000000',
       '2019-05-10T12:32:59.999999744', '2019-05-20T12:32:59.999999744',
       '2019-05-30T12:32:59.999999744', '2019-06-09T12:32:59.999999744',
       '2019-06-19T12:32:59.999999744', '2019-06-29T12:32:59.999999744',
       '2019-07-09T12:32:59.999999744', '2019-07-19T12:32:59.999999744',
       '2019-07-29T12:32:59.999999744', '2019-08-08T12:32:00.000000000',
       '2019-08-18T12:32:00.000000000', '2019-08-28T12:32:00.000000000',
       '2019-09-07T12:32:00.000000000', '2019-09-17T12:32:00.000000000',
       '2019-09-27T12:32:00.000000000', '2019-10-07T12:32:00.000000000',
       '2019-10-17T12:32:00.000000000', '2019-10-27T12:30:59.999999744',
       '2019-11-06T12:30:59.999999744', '2019-11-16T12:30:59.999999744',
       '2019-11-26T12:30:59.999999744', '2019-12-06T12:30:59.999999744',
       '2019-12-16T12:30:59.999999744', '2019-12-26T12:30:59.999999744',
       '2020-01-05T12:30:59.999999744', '2020-01-15T12:30:59.999999744',
       '2020-01-25T12:30:59.999999744', '2020-02-04T12:30:59.999999744',
       '2020-02-14T12:30:00.000000000', '2020-02-24T12:30:00.000000000',
       '2020-03-05T12:30:00.000000000', '2020-03-15T12:30:00.000000000',
       '2020-03-25T12:30:00.000000000', '2020-04-04T12:30:00.000000000',
       '2020-04-14T12:30:00.000000000', '2020-04-24T12:30:00.000000000',
       '2020-05-04T12:30:00.000000000', '2020-05-14T12:30:00.000000000',
       '2020-05-24T12:29:00.000000000', '2020-06-03T12:29:00.000000000',
       '2020-06-13T12:29:00.000000000', '2020-06-23T12:29:00.000000000'],
      dtype='datetime64[ns]')

JULD_PARK_END_STATUS

(N_CYCLE)

object

...

long_name :: Status of drift end date of the cycle
conventions :: Argo reference table 19

array([nan, b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2',
       b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2',
       b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2',
       b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2',
       b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2',
       b'2', b'2', b'2', b'2', b'2', b'2'], dtype=object)

JULD_DEEP_DESCENT_END

(N_CYCLE)

datetime64[ns]

...

long_name :: Deep descent end date of the cycle
standard_name :: time
conventions :: Relative julian days with decimal part (as parts of day)
resolution :: 0.004166666666666667

array(['NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT',
       'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT',
       'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT',
       'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT',
       'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT',
       'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT',
       'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT'], dtype='datetime64[ns]')

JULD_DEEP_DESCENT_END_STATUS

(N_CYCLE)

object

...

long_name :: Status of deep descent end date of the cycle
conventions :: Argo reference table 19

array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,
       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,
       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,
       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,
       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan], dtype=object)

JULD_DEEP_PARK_START

(N_CYCLE)

datetime64[ns]

...

long_name :: Deep park start date of the cycle
standard_name :: time
conventions :: Relative julian days with decimal part (as parts of day)
resolution :: 0.004166666666666667

array([                          'NaT', '2018-10-24T23:10:00.000000000',
       '2018-10-26T21:28:00.000000256', '2018-10-28T23:16:00.000000000',
       '2018-10-30T21:46:00.000000000', '2018-11-01T22:46:00.000000000',
       '2018-11-11T23:39:59.999999744', '2018-11-21T22:22:00.000000000',
       '2018-12-01T23:39:59.999999744', '2018-12-11T22:16:00.000000000',
       '2018-12-21T22:09:59.999999744', '2018-12-31T21:52:00.000000000',
       '2019-01-10T23:03:00.000000256', '2019-01-20T22:51:00.000000000',
       '2019-01-30T23:27:00.000000256', '2019-02-09T23:39:00.000000000',
       '2019-02-19T23:39:00.000000000', '2019-03-01T23:09:00.000000000',
       '2019-03-11T22:51:00.000000000', '2019-03-21T22:09:00.000000000',
       '2019-03-31T22:21:00.000000000', '2019-04-10T20:26:00.000000000',
       '2019-04-20T17:13:59.999999744', '2019-04-30T21:14:00.000000000',
       '2019-05-10T22:14:00.000000000', '2019-05-20T22:25:59.999999744',
       '2019-05-30T21:26:00.000000000', '2019-06-09T22:44:00.000000000',
       '2019-06-19T21:32:00.000000000', '2019-06-29T22:20:00.000000000',
       '2019-07-09T21:19:59.999999744', '2019-07-19T23:13:59.999999744',
       '2019-07-29T22:38:00.000000000', '2019-08-08T23:37:00.000000000',
       '2019-08-18T23:37:00.000000000', '2019-08-28T22:43:00.000000000',
       '2019-09-07T22:07:00.000000000', '2019-09-17T22:49:00.000000000',
       '2019-09-27T21:55:00.000000000', '2019-10-07T22:07:00.000000000',
       '2019-10-17T21:19:00.000000000', '2019-10-27T21:48:00.000000000',
       '2019-11-06T21:48:00.000000000', '2019-11-16T21:48:00.000000000',
       '2019-11-26T21:48:00.000000000', '2019-12-06T21:30:00.000000000',
       '2019-12-16T23:24:00.000000000', '2019-12-26T22:17:59.999999744',
       '2020-01-05T21:30:00.000000000', '2020-01-15T21:17:59.999999744',
       '2020-01-25T21:54:00.000000000', '2020-02-04T23:35:59.999999744',
       '2020-02-14T21:47:00.000000000', '2020-02-24T22:17:00.000000000',
       '2020-03-05T22:04:59.999999744', '2020-03-15T21:53:00.000000000',
       '2020-03-25T23:34:59.999999744', '2020-04-04T21:29:00.000000000',
       '2020-04-14T21:47:00.000000000', '2020-04-24T21:40:59.999999744',
       '2020-05-04T20:47:00.000000000', '2020-05-14T22:04:59.999999744',
       '2020-05-24T21:46:00.000000256', '2020-06-03T23:16:00.000000256',
       '2020-06-13T22:16:00.000000000', '2020-06-23T20:52:00.000000000'],
      dtype='datetime64[ns]')

JULD_DEEP_PARK_START_STATUS

(N_CYCLE)

object

...

long_name :: Status of deep park start date of the cycle
conventions :: Argo reference table 19

array([nan, b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2',
       b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2',
       b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2',
       b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2',
       b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2',
       b'2', b'2', b'2', b'2', b'2', b'2'], dtype=object)

JULD_ASCENT_START

(N_CYCLE)

datetime64[ns]

...

long_name :: Start date of the ascent to the surface
standard_name :: time
conventions :: Relative julian days with decimal part (as parts of day)
resolution :: 0.0006944444444444445

array([                          'NaT', '2018-10-24T23:37:00.000000000',
       '2018-10-26T23:41:00.000000000', '2018-10-28T23:36:00.000000000',
       '2018-10-30T23:45:00.000000000', '2018-11-01T23:45:00.000000000',
       '2018-11-11T23:45:00.000000000', '2018-11-21T23:43:00.000000256',
       '2018-12-01T23:56:00.000000256', '2018-12-11T23:45:00.000000000',
       '2018-12-21T23:42:00.000000000', '2018-12-31T23:39:00.000000000',
       '2019-01-10T23:42:00.000000256', '2019-01-20T23:35:00.000000256',
       '2019-01-30T23:40:00.000000256', '2019-02-09T23:44:00.000000000',
       '2019-02-19T23:44:00.000000000', '2019-03-01T23:41:00.000000000',
       '2019-03-11T23:34:00.000000256', '2019-03-21T23:45:00.000000256',
       '2019-03-31T23:39:00.000000000', '2019-04-11T00:24:00.000000000',
       '2019-04-21T00:53:00.000000000', '2019-04-30T23:58:00.000000000',
       '2019-05-10T23:42:59.999999744', '2019-05-20T23:33:00.000000000',
       '2019-05-30T23:42:00.000000000', '2019-06-09T23:41:00.000000000',
       '2019-06-19T23:55:00.000000000', '2019-06-29T23:41:00.000000000',
       '2019-07-09T23:49:00.000000000', '2019-07-19T23:37:59.999999744',
       '2019-07-29T23:41:00.000000000', '2019-08-08T23:39:00.000000000',
       '2019-08-18T23:42:00.000000000', '2019-08-28T23:32:00.000000256',
       '2019-09-07T23:39:00.000000000', '2019-09-17T23:34:00.000000000',
       '2019-09-27T23:43:00.000000256', '2019-10-07T23:43:00.000000256',
       '2019-10-17T23:40:00.000000256', '2019-10-27T23:37:59.999999744',
       '2019-11-06T23:39:59.999999744', '2019-11-16T23:37:59.999999744',
       '2019-11-26T23:37:59.999999744', '2019-12-06T23:35:59.999999744',
       '2019-12-16T23:34:00.000000000', '2019-12-26T23:37:59.999999744',
       '2020-01-05T23:39:59.999999744', '2020-01-15T23:40:59.999999744',
       '2020-01-25T23:39:59.999999744', '2020-02-04T23:37:59.999999744',
       '2020-02-14T23:38:00.000000000', '2020-02-24T23:29:00.000000000',
       '2020-03-05T23:36:00.000000000', '2020-03-15T23:39:59.999999744',
       '2020-03-25T23:39:59.999999744', '2020-04-04T23:38:00.000000000',
       '2020-04-14T23:41:00.000000000', '2020-04-24T23:38:00.000000000',
       '2020-05-04T23:44:00.000000000', '2020-05-14T23:39:00.000000000',
       '2020-05-24T23:31:00.000000000', '2020-06-03T23:36:00.000000000',
       '2020-06-13T23:30:00.000000000', '2020-06-23T23:33:00.000000000'],
      dtype='datetime64[ns]')

JULD_ASCENT_START_STATUS

(N_CYCLE)

object

...

long_name :: Status of start date of the ascent to the surface
conventions :: Argo reference table 19

array([nan, b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2',
       b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2',
       b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2',
       b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2',
       b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2',
       b'2', b'2', b'2', b'2', b'2', b'2'], dtype=object)

JULD_DEEP_ASCENT_START

(N_CYCLE)

datetime64[ns]

...

long_name :: Deep ascent start date of the cycle
standard_name :: time
conventions :: Relative julian days with decimal part (as parts of day)
resolution :: 0.0006944444444444445

array(['NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT',
       'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT',
       'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT',
       'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT',
       'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT',
       'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT',
       'NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT'], dtype='datetime64[ns]')

JULD_DEEP_ASCENT_START_STATUS

(N_CYCLE)

object

...

long_name :: Status of deep ascent start date of the cycle
conventions :: Argo reference table 19

array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,
       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,
       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,
       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,
       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan], dtype=object)

JULD_ASCENT_END

(N_CYCLE)

datetime64[ns]

...

long_name :: End date of ascent to the surface
standard_name :: time
conventions :: Relative julian days with decimal part (as parts of day)
resolution :: 0.0006944444444444445

array([                          'NaT', '2018-10-25T05:30:00.000000000',
       '2018-10-27T05:30:00.000000000', '2018-10-29T05:24:00.000000256',
       '2018-10-31T05:28:00.000000000', '2018-11-02T05:32:00.000000256',
       '2018-11-12T05:34:00.000000000', '2018-11-22T05:26:00.000000000',
       '2018-12-02T05:37:00.000000256', '2018-12-12T05:35:00.000000256',
       '2018-12-22T05:33:00.000000000', '2019-01-01T05:26:00.000000000',
       '2019-01-11T05:29:00.000000256', '2019-01-21T05:29:00.000000256',
       '2019-01-31T05:35:00.000000256', '2019-02-10T05:29:00.000000256',
       '2019-02-20T05:43:00.000000256', '2019-03-02T05:36:00.000000256',
       '2019-03-12T05:37:00.000000256', '2019-03-22T05:33:00.000000000',
       '2019-04-01T05:26:00.000000256', '2019-04-11T05:33:00.000000000',
       '2019-04-21T05:42:00.000000000', '2019-05-01T05:36:00.000000000',
       '2019-05-11T05:31:59.999999744', '2019-05-21T05:34:00.000000000',
       '2019-05-31T05:41:00.000000000', '2019-06-10T05:27:00.000000256',
       '2019-06-20T05:39:00.000000000', '2019-06-30T05:42:00.000000000',
       '2019-07-10T05:40:00.000000256', '2019-07-20T05:35:00.000000256',
       '2019-07-30T05:35:00.000000256', '2019-08-09T05:37:00.000000256',
       '2019-08-19T05:47:00.000000256', '2019-08-29T05:25:00.000000000',
       '2019-09-08T05:24:00.000000256', '2019-09-18T05:29:00.000000256',
       '2019-09-28T05:26:00.000000256', '2019-10-08T05:25:00.000000000',
       '2019-10-18T05:30:00.000000000', '2019-10-28T05:15:00.000000000',
       '2019-11-07T05:33:00.000000000', '2019-11-17T05:29:00.000000000',
       '2019-11-27T05:16:00.000000000', '2019-12-07T05:33:00.000000000',
       '2019-12-17T05:24:00.000000000', '2019-12-27T05:31:00.000000000',
       '2020-01-06T05:21:00.000000000', '2020-01-16T05:38:00.000000000',
       '2020-01-26T05:25:00.000000000', '2020-02-05T05:34:59.999999744',
       '2020-02-15T05:29:00.000000000', '2020-02-25T05:18:00.000000000',
       '2020-03-06T05:27:00.000000256', '2020-03-16T05:22:00.000000000',
       '2020-03-26T05:29:00.000000000', '2020-04-05T05:09:00.000000000',
       '2020-04-15T05:18:00.000000000', '2020-04-25T05:37:00.000000256',
       '2020-05-05T05:31:00.000000000', '2020-05-15T05:22:00.000000000',
       '2020-05-25T05:29:00.000000256', '2020-06-04T05:21:00.000000256',
       '2020-06-14T05:17:00.000000000', '2020-06-24T05:20:00.000000000'],
      dtype='datetime64[ns]')

JULD_ASCENT_END_STATUS

(N_CYCLE)

object

...

long_name :: Status of end date of ascent to the surface
conventions :: Argo reference table 19

array([nan, b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2',
       b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2',
       b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2',
       b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2',
       b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2',
       b'2', b'2', b'2', b'2', b'2', b'2'], dtype=object)

JULD_TRANSMISSION_START

(N_CYCLE)

datetime64[ns]

...

long_name :: Start date of transmission
standard_name :: time
conventions :: Relative julian days with decimal part (as parts of day)
resolution :: 0.0006944444444444445

array([                          'NaT', '2018-10-25T05:44:00.000000000',
       '2018-10-27T05:44:00.000000000', '2018-10-29T05:38:00.000000000',
       '2018-10-31T05:42:00.000000000', '2018-11-02T05:46:00.000000000',
       '2018-11-12T05:47:59.999999744', '2018-11-22T05:39:59.999999744',
       '2018-12-02T05:51:00.000000000', '2018-12-12T05:49:00.000000000',
       '2018-12-22T05:47:00.000000000', '2019-01-01T05:39:59.999999744',
       '2019-01-11T05:43:00.000000256', '2019-01-21T05:43:00.000000256',
       '2019-01-31T05:49:00.000000000', '2019-02-10T05:43:00.000000256',
       '2019-02-20T05:57:00.000000000', '2019-03-02T05:50:00.000000256',
       '2019-03-12T05:51:00.000000000', '2019-03-22T05:47:00.000000000',
       '2019-04-01T05:40:00.000000256', '2019-04-11T05:47:00.000000000',
       '2019-04-21T05:55:59.999999744', '2019-05-01T05:50:00.000000000',
       '2019-05-11T05:45:59.999999744', '2019-05-21T05:47:59.999999744',
       '2019-05-31T05:55:00.000000000', '2019-06-10T05:41:00.000000000',
       '2019-06-20T05:53:00.000000000', '2019-06-30T05:55:59.999999744',
       '2019-07-10T05:54:00.000000000', '2019-07-20T05:49:00.000000000',
       '2019-07-30T05:49:00.000000000', '2019-08-09T05:51:00.000000000',
       '2019-08-19T06:01:00.000000256', '2019-08-29T05:39:00.000000000',
       '2019-09-08T05:38:00.000000000', '2019-09-18T05:43:00.000000256',
       '2019-09-28T05:40:00.000000256', '2019-10-08T05:39:00.000000000',
       '2019-10-18T05:44:00.000000000', '2019-10-28T05:29:00.000000000',
       '2019-11-07T05:47:00.000000000', '2019-11-17T05:42:59.999999744',
       '2019-11-27T05:29:59.999999744', '2019-12-07T05:47:00.000000000',
       '2019-12-17T05:37:59.999999744', '2019-12-27T05:45:00.000000000',
       '2020-01-06T05:34:59.999999744', '2020-01-16T05:52:00.000000000',
       '2020-01-26T05:39:00.000000000', '2020-02-05T05:48:59.999999744',
       '2020-02-15T05:42:59.999999744', '2020-02-25T05:31:59.999999744',
       '2020-03-06T05:41:00.000000000', '2020-03-16T05:36:00.000000000',
       '2020-03-26T05:42:59.999999744', '2020-04-05T05:23:00.000000000',
       '2020-04-15T05:31:59.999999744', '2020-04-25T05:51:00.000000000',
       '2020-05-05T05:45:00.000000000', '2020-05-15T05:36:00.000000000',
       '2020-05-25T05:43:00.000000256', '2020-06-04T05:35:00.000000256',
       '2020-06-14T05:31:00.000000000', '2020-06-24T05:34:00.000000000'],
      dtype='datetime64[ns]')

JULD_TRANSMISSION_START_STATUS

(N_CYCLE)

object

...

long_name :: Status of start date of transmission
conventions :: Argo reference table 19

array([nan, b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2',
       b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2',
       b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2',
       b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2',
       b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2',
       b'2', b'2', b'2', b'2', b'2', b'2'], dtype=object)

JULD_FIRST_MESSAGE

(N_CYCLE)

datetime64[ns]

...

long_name :: Date of earliest float message received
standard_name :: time
conventions :: Relative julian days with decimal part (as parts of day)
resolution :: 1.1574074074074073e-05

array(['2018-10-23T17:32:27.000004096', '2018-10-25T05:44:56.999999488',
       '2018-10-27T05:48:50.000003072', '2018-10-29T06:00:27.000004352',
       '2018-10-31T06:12:23.000003328', '2018-11-02T05:49:55.999997184',
       '2018-11-12T05:48:11.999997952', '2018-11-22T05:40:09.999997184',
       '2018-12-02T06:42:57.000003328', '2018-12-12T06:27:50.999998976',
       '2018-12-22T06:13:50.999998720', '2019-01-01T05:58:32.999999232',
       '2019-01-11T05:43:50.999995392', '2019-01-21T06:04:21.000002560',
       '2019-01-31T05:51:43.000000000', '2019-02-10T05:43:40.000004864',
       '2019-02-20T06:20:25.999998720', '2019-03-02T06:03:33.999995904',
       '2019-03-12T05:51:20.999998720', '2019-03-22T06:30:28.999996928',
       '2019-04-01T06:18:08.000002816', '2019-04-11T06:06:49.000004352',
       '2019-04-21T05:56:54.999997696', '2019-05-01T05:52:09.000000000',
       '2019-05-11T05:55:38.000002816', '2019-05-21T05:50:04.000004096',
       '2019-05-31T06:28:40.000004864', '2019-06-10T06:35:21.000002304',
       '2019-06-20T06:21:15.000004352', '2019-06-30T06:10:28.999997952',
       '2019-07-10T06:00:29.999998208', '2019-07-20T05:49:03.999997440',
       '2019-07-30T06:22:59.999998208', '2019-08-09T06:52:25.999994880',
       '2019-08-19T06:21:13.999999744', '2019-08-29T06:20:18.000001792',
       '2019-09-08T06:05:43.000000256', '2019-09-18T05:48:37.000003072',
       '2019-09-28T05:40:13.999995648', '2019-10-08T05:52:40.000002816',
       '2019-10-18T05:45:00.000003328', '2019-10-28T05:30:43.999999488',
       '2019-11-07T06:08:11.999996928', '2019-11-17T05:53:52.999998976',
       '2019-11-27T05:36:52.000004864', '2019-12-07T06:20:05.000002048',
       '2019-12-17T06:08:26.999995904', '2019-12-27T05:56:11.999999488',
       '2020-01-06T05:45:22.000004608', '2020-01-16T05:56:06.000001792',
       '2020-01-26T05:40:31.000003840', '2020-02-05T06:46:40.999995392',
       '2020-02-15T06:37:18.999995904', '2020-02-25T06:24:39.000004352',
       '2020-03-06T06:13:56.000001792', '2020-03-16T06:01:19.999998464',
       '2020-03-26T05:44:16.999995136', '2020-04-05T05:29:09.999996160',
       '2020-04-15T05:32:33.000001536', '2020-04-25T06:35:21.000002304',
       '2020-05-05T06:19:00.000002560', '2020-05-15T06:05:22.000003584',
       '2020-05-25T05:47:34.999997440', '2020-06-04T05:36:38.999994880',
       '2020-06-14T05:52:07.000000768', '2020-06-24T05:41:10.000003584'],
      dtype='datetime64[ns]')

JULD_FIRST_MESSAGE_STATUS

(N_CYCLE)

object

...

long_name :: Status of date of earliest float message received
conventions :: Argo reference table 19

array([b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4',
       b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4',
       b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4',
       b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4',
       b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4',
       b'4', b'4', b'4', b'4', b'4', b'4'], dtype=object)

JULD_FIRST_LOCATION

(N_CYCLE)

datetime64[ns]

...

long_name :: Date of earliest location
standard_name :: time
conventions :: Relative julian days with decimal part (as parts of day)
resolution :: 1.1574074074074073e-05

array(['2018-10-23T17:32:27.000004096', '2018-10-25T05:45:54.000002048',
       '2018-10-27T05:54:48.999997184', '2018-10-29T06:26:42.999995648',
       '2018-10-31T06:12:45.999999232', '2018-11-02T05:50:15.999999232',
       '2018-11-12T05:55:29.000001280', '2018-11-22T05:44:34.000003584',
       '2018-12-02T06:44:58.000000768', '2018-12-12T06:29:30.999999744',
       '2018-12-22T06:13:50.999998720', '2019-01-01T06:00:07.999996928',
       '2019-01-11T05:45:32.999995392', '2019-01-21T06:04:21.000002560',
       '2019-01-31T05:58:34.000003840', '2019-02-10T05:51:17.000000256',
       '2019-02-20T06:21:19.999997440', '2019-03-02T06:03:51.999998976',
       '2019-03-12T05:51:39.999996160', '2019-03-22T07:15:28.000002304',
       '2019-04-01T06:19:17.000000768', '2019-04-11T06:07:06.999997440',
       '2019-04-21T06:02:13.000002816', '2019-05-01T05:53:28.999998464',
       '2019-05-11T06:31:27.000004096', '2019-05-21T06:59:39.000000000',
       '2019-05-31T06:28:57.999997696', '2019-06-10T06:50:15.999995904',
       '2019-06-20T06:21:54.999998720', '2019-06-30T06:17:01.999998720',
       '2019-07-10T06:00:53.000004096', '2019-07-20T05:49:44.000001792',
       '2019-07-30T06:25:39.000000768', '2019-08-09T06:54:16.999996416',
       '2019-08-19T06:36:54.000000768', '2019-08-29T06:39:57.999998464',
       '2019-09-08T06:07:02.000004352', '2019-09-18T05:49:38.000004096',
       '2019-09-28T05:43:20.999997184', '2019-10-08T05:58:31.000000000',
       '2019-10-18T05:48:56.999995136', '2019-10-28T05:35:10.999999488',
       '2019-11-07T06:09:29.000001536', '2019-11-17T05:55:32.999999744',
       '2019-11-27T05:40:05.000004096', '2019-12-07T06:26:51.000002560',
       '2019-12-17T06:15:19.000004352', '2019-12-27T06:03:07.000001536',
       '2020-01-06T05:51:33.000004096', '2020-01-16T05:59:35.000004864',
       '2020-01-26T05:42:45.000001280', '2020-02-05T06:48:05.999996928',
       '2020-02-15T06:50:26.999996672', '2020-02-25T06:25:35.000002304',
       '2020-03-06T06:17:38.999999232', '2020-03-16T06:02:50.000003328',
       '2020-03-26T05:44:38.000002048', '2020-04-05T05:29:50.999995136',
       '2020-04-15T05:34:50.000002816', '2020-04-25T06:38:25.000000000',
       '2020-05-05T06:22:02.999995648', '2020-05-15T06:06:57.999995904',
       '2020-05-25T05:48:35.000003840', '2020-06-04T06:11:05.999998464',
       '2020-06-14T05:52:29.999996672', '2020-06-24T05:44:17.999999744'],
      dtype='datetime64[ns]')

JULD_FIRST_LOCATION_STATUS

(N_CYCLE)

object

...

long_name :: Status of date of earliest location
conventions :: Argo reference table 19

array([b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4',
       b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4',
       b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4',
       b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4',
       b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4',
       b'4', b'4', b'4', b'4', b'4', b'4'], dtype=object)

JULD_LAST_LOCATION

(N_CYCLE)

datetime64[ns]

...

long_name :: Date of latest location
standard_name :: time
conventions :: Relative julian days with decimal part (as parts of day)
resolution :: 1.1574074074074073e-05

array(['2018-10-23T19:37:17.999997952', '2018-10-25T12:35:15.000004608',
       '2018-10-27T12:30:28.000002304', '2018-10-29T11:49:22.000000512',
       '2018-10-31T12:10:45.999996416', '2018-11-02T12:06:14.999997696',
       '2018-11-12T11:59:50.000003840', '2018-11-22T11:52:27.999997440',
       '2018-12-02T11:44:38.000002048', '2018-12-12T11:37:02.999995648',
       '2018-12-22T12:36:11.000002816', '2019-01-01T12:29:08.000003840',
       '2019-01-11T12:21:26.999999744', '2019-01-21T12:14:22.999996160',
       '2019-01-31T12:07:06.000002816', '2019-02-10T12:32:58.000003584',
       '2019-02-20T13:06:26.000005120', '2019-03-02T12:57:12.999997184',
       '2019-03-12T12:53:37.999996672', '2019-03-22T12:43:27.000001536',
       '2019-04-01T12:36:26.999996416', '2019-04-11T12:27:26.999998464',
       '2019-04-21T12:20:33.000001024', '2019-05-01T12:13:28.999997440',
       '2019-05-11T12:05:56.000000256', '2019-05-21T11:59:19.999995648',
       '2019-05-31T11:52:18.999995904', '2019-06-10T12:20:55.999996928',
       '2019-06-20T12:13:32.999995904', '2019-06-30T12:04:30.000004096',
       '2019-07-10T12:29:51.000001792', '2019-07-20T13:02:01.000004096',
       '2019-07-30T11:43:40.999999232', '2019-08-09T12:45:24.000000512',
       '2019-08-19T12:38:12.000000256', '2019-08-29T12:31:18.999997184',
       '2019-09-08T12:24:02.000003840', '2019-09-18T12:17:18.000002560',
       '2019-09-28T12:09:51.000003072', '2019-10-08T12:37:01.000003072',
       '2019-10-18T12:30:15.999996928', '2019-10-28T12:22:22.999997696',
       '2019-11-07T12:15:27.999995648', '2019-11-17T12:07:34.000001792',
       '2019-11-27T12:00:07.999996928', '2019-12-07T12:24:04.000003072',
       '2019-12-17T12:52:41.999998720', '2019-12-27T12:43:29.000000768',
       '2020-01-06T12:34:20.999995904', '2020-01-16T12:23:27.000002560',
       '2020-01-26T12:39:15.000000512', '2020-02-05T12:18:56.999998720',
       '2020-02-15T12:00:14.999999232', '2020-02-25T12:41:19.999996416',
       '2020-03-06T12:33:54.999996160', '2020-03-16T12:52:41.999998720',
       '2020-03-26T12:32:56.999998720', '2020-04-05T12:16:48.999998976',
       '2020-04-15T12:05:09.999998208', '2020-04-25T12:52:36.000001024',
       '2020-05-05T12:45:22.999995904', '2020-05-15T12:47:13.999997440',
       '2020-05-25T12:31:35.000001024', '2020-06-04T12:23:38.999997952',
       '2020-06-14T12:16:30.000001280', '2020-06-24T12:09:08.000004864'],
      dtype='datetime64[ns]')

JULD_LAST_LOCATION_STATUS

(N_CYCLE)

object

...

long_name :: Status of date of latest location
conventions :: Argo reference table 19

array([b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4',
       b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4',
       b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4',
       b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4',
       b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4',
       b'4', b'4', b'4', b'4', b'4', b'4'], dtype=object)

JULD_LAST_MESSAGE

(N_CYCLE)

datetime64[ns]

...

long_name :: Date of latest float message received
standard_name :: time
conventions :: Relative julian days with decimal part (as parts of day)
resolution :: 1.1574074074074073e-05

array(['2018-10-23T19:48:41.999999488', '2018-10-25T12:41:30.999996928',
       '2018-10-27T12:37:25.999998208', '2018-10-29T11:59:06.999995904',
       '2018-10-31T12:51:07.000001024', '2018-11-02T12:15:12.999996416',
       '2018-11-12T12:07:26.999999488', '2018-11-22T12:01:29.000000000',
       '2018-12-02T11:53:36.000000768', '2018-12-12T12:43:49.999997440',
       '2018-12-22T12:42:50.999995648', '2019-01-01T12:35:49.999995904',
       '2019-01-11T12:30:28.999996928', '2019-01-21T12:23:40.000002560',
       '2019-01-31T12:44:26.999997952', '2019-02-10T12:38:17.999997696',
       '2019-02-20T13:06:26.000005120', '2019-03-02T12:58:54.000002560',
       '2019-03-12T12:54:01.999997184', '2019-03-22T12:46:29.000000000',
       '2019-04-01T12:41:30.999996928', '2019-04-11T12:34:46.000001024',
       '2019-04-21T12:29:32.999998976', '2019-05-01T12:22:48.000003072',
       '2019-05-11T12:44:22.000004864', '2019-05-21T12:09:18.000001024',
       '2019-05-31T12:34:36.999999488', '2019-06-10T12:27:54.000002816',
       '2019-06-20T12:21:54.000004096', '2019-06-30T12:35:15.000004608',
       '2019-07-10T12:29:51.000001792', '2019-07-20T13:02:59.999995904',
       '2019-07-30T12:56:57.000003584', '2019-08-09T12:51:05.999996416',
       '2019-08-19T12:45:09.999996160', '2019-08-29T12:38:19.999996928',
       '2019-09-08T12:32:25.000001536', '2019-09-18T12:25:20.000003328',
       '2019-09-28T12:47:28.999996416', '2019-10-08T12:40:03.000001536',
       '2019-10-18T12:36:59.999998464', '2019-10-28T12:30:43.999996160',
       '2019-11-07T12:24:47.000001280', '2019-11-17T12:17:16.000003328',
       '2019-11-27T12:30:11.999998720', '2019-12-07T13:04:41.999995904',
       '2019-12-17T12:57:45.999999232', '2019-12-27T12:50:07.000004608',
       '2020-01-06T12:42:39.000000256', '2020-01-16T12:33:26.000002560',
       '2020-01-26T12:41:50.999999232', '2020-02-05T12:55:13.999998976',
       '2020-02-15T12:53:54.000000256', '2020-02-25T12:48:38.000004352',
       '2020-03-06T12:41:58.000001536', '2020-03-16T12:56:39.999995136',
       '2020-03-26T12:41:34.000000768', '2020-04-05T12:25:44.999998464',
       '2020-04-15T12:59:50.000000512', '2020-04-25T13:00:38.999996416',
       '2020-05-05T13:09:39.999998976', '2020-05-15T12:55:17.999997440',
       '2020-05-25T12:39:33.999997952', '2020-06-04T12:33:56.000000768',
       '2020-06-14T12:27:30.999996928', '2020-06-24T13:00:23.000002560'],
      dtype='datetime64[ns]')

JULD_LAST_MESSAGE_STATUS

(N_CYCLE)

object

...

long_name :: Status of date of latest float message received
conventions :: Argo reference table 19

array([b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4',
       b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4',
       b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4',
       b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4',
       b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4', b'4',
       b'4', b'4', b'4', b'4', b'4', b'4'], dtype=object)

JULD_TRANSMISSION_END

(N_CYCLE)

datetime64[ns]

...

long_name :: Transmission end date
standard_name :: time
conventions :: Relative julian days with decimal part (as parts of day)
resolution :: 0.0006944444444444445

array(['2018-10-23T19:49:00.000000000', '2018-10-25T13:15:00.000000000',
       '2018-10-27T13:20:00.000000000', '2018-10-29T13:12:00.000000000',
       '2018-10-31T13:17:59.999999744', '2018-11-02T13:22:00.000000000',
       '2018-11-12T13:16:00.000000000', '2018-11-22T13:08:00.000000000',
       '2018-12-02T13:19:00.000000000', '2018-12-12T13:17:59.999999744',
       '2018-12-22T13:15:00.000000000', '2019-01-01T13:07:00.000000256',
       '2019-01-11T13:11:00.000000000', '2019-01-21T13:19:00.000000000',
       '2019-01-31T13:24:00.000000000', '2019-02-10T13:11:00.000000000',
       '2019-02-20T13:33:00.000000256', '2019-03-02T13:18:00.000000256',
       '2019-03-12T13:19:00.000000000', '2019-03-22T13:16:00.000000000',
       '2019-04-01T13:14:00.000000000', '2019-04-11T13:20:00.000000000',
       '2019-04-21T13:32:00.000000000', '2019-05-01T13:24:00.000000000',
       '2019-05-11T13:14:00.000000000', '2019-05-21T13:23:00.000000000',
       '2019-05-31T13:23:00.000000000', '2019-06-10T13:09:00.000000000',
       '2019-06-20T13:22:00.000000000', '2019-06-30T13:24:00.000000000',
       '2019-07-10T13:22:00.000000000', '2019-07-20T13:24:00.000000000',
       '2019-07-30T13:17:00.000000000', '2019-08-09T13:20:00.000000000',
       '2019-08-19T13:29:00.000000000', '2019-08-29T13:14:00.000000000',
       '2019-09-08T13:06:00.000000000', '2019-09-18T13:11:00.000000000',
       '2019-09-28T13:08:00.000000000', '2019-10-08T13:08:00.000000000',
       '2019-10-18T13:12:00.000000000', '2019-10-28T13:04:00.000000000',
       '2019-11-07T13:15:00.000000000', '2019-11-17T13:10:59.999999744',
       '2019-11-27T12:59:00.000000000', '2019-12-07T13:15:00.000000000',
       '2019-12-17T13:05:59.999999744', '2019-12-27T13:12:59.999999744',
       '2020-01-06T13:02:59.999999744', '2020-01-16T13:20:00.000000000',
       '2020-01-26T13:07:00.000000000', '2020-02-05T13:16:00.000000000',
       '2020-02-15T13:11:00.000000000', '2020-02-25T13:00:00.000000000',
       '2020-03-06T13:09:00.000000000', '2020-03-16T13:04:59.999999744',
       '2020-03-26T13:11:00.000000000', '2020-04-05T12:51:00.000000000',
       '2020-04-15T13:00:00.000000000', '2020-04-25T13:19:00.000000000',
       '2020-05-05T13:12:59.999999744', '2020-05-15T13:03:00.000000000',
       '2020-05-25T13:11:00.000000000', '2020-06-04T13:03:00.000000000',
       '2020-06-14T13:06:00.000000000',                           'NaT'],
      dtype='datetime64[ns]')

JULD_TRANSMISSION_END_STATUS

(N_CYCLE)

object

...

long_name :: Status of transmission end date
conventions :: Argo reference table 19

array([b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2',
       b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2',
       b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2',
       b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2',
       b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2', b'2',
       b'2', b'2', b'2', b'2', b'2', b'9'], dtype=object)

CLOCK_OFFSET

(N_CYCLE)

timedelta64[ns]

...

long_name :: Time of float clock drift
conventions :: Days with decimal part (as parts of day)

array([480000038400, 480000038400, 480000038400, 480000038400, 480000038400,
       480000038400, 480000038400, 480000038400, 480000038400, 480000038400,
       480000038400, 480000038400, 540000000000, 540000000000, 540000000000,
       540000000000, 540000000000, 540000000000, 540000000000, 540000000000,
       540000000000, 599999961600, 599999961600, 599999961600, 599999961600,
       599999961600, 599999961600, 599999961600, 599999961600, 599999961600,
       599999961600, 599999961600, 599999961600, 660000009600, 660000009600,
       660000009600, 660000009600, 660000009600, 660000009600, 660000009600,
       660000009600, 719999971200, 719999971200, 719999971200, 719999971200,
       719999971200, 719999971200, 719999971200, 719999971200, 719999971200,
       719999971200, 719999971200, 780000019200, 780000019200, 780000019200,
       780000019200, 780000019200, 780000019200, 780000019200, 780000019200,
       780000019200, 780000019200, 839999980800, 839999980800, 839999980800,
       839999980800], dtype='timedelta64[ns]')

GROUNDED

(N_CYCLE)

object

...

long_name :: Did the profiler touch the ground for that cycle?
conventions :: Argo reference table 20

array([b'N', b'N', b'N', b'N', b'N', b'N', b'N', b'N', b'N', b'N', b'N', b'N',
       b'N', b'N', b'N', b'N', b'N', b'N', b'N', b'N', b'N', b'Y', b'Y', b'Y',
       b'N', b'N', b'N', b'N', b'Y', b'N', b'Y', b'N', b'N', b'N', b'N', b'N',
       b'N', b'N', b'N', b'N', b'N', b'N', b'N', b'N', b'N', b'N', b'N', b'N',
       b'N', b'N', b'N', b'N', b'N', b'N', b'N', b'N', b'N', b'N', b'N', b'N',
       b'N', b'N', b'N', b'N', b'N', b'N'], dtype=object)

REPRESENTATIVE_PARK_PRESSURE

(N_CYCLE)

float32

...

long_name :: Best pressure value during park phase
units :: decibar

array([       nan,        nan,  985.     ,  991.     ,  974.     ,  982.     ,
       1006.58826, 1032.4117 , 1022.4706 ,  981.35297, 1015.7059 , 1017.82355,
        985.2941 , 1007.375  , 1018.17645,  999.94116,  988.58826, 1016.05884,
        995.64703, 1006.58826,  982.     ,  743.7059 , 1007.58826, 1017.94116,
       1011.5294 , 1009.41174, 1022.5    , 1022.     , 1017.64703, 1029.1765 ,
        994.25   , 1029.8235 , 1001.     ,  991.     ,  986.64703,  991.17645,
        988.1177 ,  993.05884, 1032.6471 , 1021.58826, 1038.1765 , 1020.41174,
        985.     , 1000.94116, 1013.05884, 1034.4117 ,  996.64703, 1009.05884,
       1026.4706 , 1012.05884,  998.7647 ,  981.4706 , 1025.     , 1027.1177 ,
       1020.2941 , 1010.94116, 1017.82355, 1025.1765 , 1021.94116,  991.1177 ,
       1011.2353 ,  995.17645,  989.8823 , 1014.8823 , 1009.58826, 1028.3529 ],
      dtype=float32)

REPRESENTATIVE_PARK_PRESSURE_STATUS

(N_CYCLE)

object

...

long_name :: Status of best pressure value during park phase
conventions :: Argo reference table 21

array([nan, nan, b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1',
       b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1',
       b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1',
       b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1',
       b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1', b'1',
       b'1', b'1', b'1', b'1', b'1', b'1'], dtype=object)

CONFIG_MISSION_NUMBER

(N_CYCLE)

float64

...

long_name :: Unique number denoting the missions performed by the float
conventions :: 1...N, 1 : first complete mission

array([nan,  1.,  2.,  2.,  2.,  2.,  3.,  3.,  3.,  3.,  3.,  3.,  3.,  3.,
        3.,  3.,  3.,  3.,  3.,  3.,  3.,  3.,  3.,  3.,  3.,  3.,  3.,  3.,
        3.,  3.,  3.,  3.,  3.,  3.,  3.,  3.,  3.,  3.,  3.,  3.,  3.,  3.,
        3.,  3.,  3.,  3.,  3.,  3.,  3.,  3.,  3.,  3.,  3.,  3.,  3.,  3.,
        3.,  3.,  3.,  3.,  3.,  3.,  3.,  3.,  3.,  3.])

CYCLE_NUMBER_INDEX

(N_CYCLE)

float64

...

long_name :: Cycle number that corresponds to the current index
conventions :: 0...N, 0 : launch cycle, 1 : first complete cycle

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.])

CYCLE_NUMBER_INDEX_ADJUSTED

(N_CYCLE)

float64

...

long_name :: Adjusted cycle number that corresponds to the current index
conventions :: 0...N, 0 : launch cycle, 1 : first complete cycle

array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,
       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,
       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,
       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,
       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan])

DATA_MODE

(N_CYCLE)

object

...

long_name :: Delayed mode or real time data
conventions :: R : real time; D : delayed mode; A : real time with adjustment

array([b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A',
       b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A',
       b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A',
       b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A',
       b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A', b'A',
       b'A', b'A', b'A', b'A', b'A', b'A'], dtype=object)

HISTORY_INSTITUTION
(N_HISTORY)
object
...
long_name :
Institution which performed action
conventions :
Argo reference table 4
```
array([b'IF  ', b'IF  ', b'IF  ', ..., b'IF  ', b'IF  ', b'IF  '], dtype=object)
```
HISTORY_STEP
(N_HISTORY)
object
...
long_name :
Step in data processing
conventions :
Argo reference table 12
```
array([b'ARFM', b'ARGQ', b'ARGQ', ..., b'ARFM', b'ARGQ', b'ARGQ'], dtype=object)
```
HISTORY_SOFTWARE
(N_HISTORY)
object
...
long_name :
Name of software which performed action
conventions :
Institution dependent
```
array([b'CODA', b'COQC', b'COQC', ..., b'CODA', b'COQC', b'COQC'], dtype=object)
```
HISTORY_SOFTWARE_RELEASE
(N_HISTORY)
object
...
long_name :
Version/release of software which performed action
conventions :
Institution dependent
```
array([b'027d', b'2.3 ', b'2.3 ', ..., b'035b', b'2.8 ', b'2.8 '], dtype=object)
```

HISTORY_REFERENCE

(N_HISTORY)

object

...

long_name :: Reference of database
conventions :: Institution dependent

array([b'                                                                ',
       b'                                                                ',
       b'                                                                ',
       ...,
       b'                                                                ',
       b'                                                                ',
       b'                                                                '],
      dtype=object)

HISTORY_DATE

(N_HISTORY)

object

...

long_name :: Date the history record was created
conventions :: YYYYMMDDHHMISS

array([b'20190115112520', b'20190115112534', b'20190115112534', ...,
       b'20200625131658', b'20200625131710', b'20200625131710'], dtype=object)

HISTORY_ACTION
(N_HISTORY)
object
...
long_name :
Action performed on data
conventions :
Argo reference table 7
```
array([b'    ', b'    ', b'    ', ..., b'    ', b'QCP$', b'QCF$'], dtype=object)
```

HISTORY_PARAMETER

(N_HISTORY)

object

...

long_name :: Station parameter action is performed on
conventions :: Argo reference table 3

array([b'                ', b'                ', b'                ', ...,
       b'                ', b'                ', b'                '],
      dtype=object)

HISTORY_PREVIOUS_VALUE
(N_HISTORY)
float32
...
long_name :
Parameter/Flag previous value before action
```
array([nan, nan, nan, ..., nan, nan, nan], dtype=float32)
```
HISTORY_INDEX_DIMENSION
(N_HISTORY)
object
...
long_name :
Name of dimension to which HISTORY_START_INDEX and HISTORY_STOP_INDEX correspond
conventions :
C: N_CYCLE, M: N_MEASUREMENT
```
array([nan, nan, nan, ..., nan, nan, nan], dtype=object)
```
HISTORY_START_INDEX
(N_HISTORY)
float64
...
long_name :
Start index action applied on
```
array([nan, nan, nan, ..., nan, nan, nan])
```
HISTORY_STOP_INDEX
(N_HISTORY)
float64
...
long_name :
Stop index action applied on
```
array([nan, nan, nan, ..., nan, nan, nan])
```
HISTORY_QCTEST
(N_HISTORY)
object
...
long_name :
Documentation of tests performed, tests failed (in hex form)
conventions :
Write tests performed when ACTION=QCP$; tests failed when ACTION=QCF$
```
array([b'                ', b'                ', b'                ', ...,
       b'                ', b'00000000027873DE', b'0000000000700000'],
      dtype=object)
```

Attributes: (11)
title :
Argo float trajectory file
institution :
CORIOLIS
source :
Argo float
history :
2019-01-15T11:25:20Z creation; 2020-06-25T13:17:10Z last update (coriolis COQC software)
references :
http://www.argodatamgt.org/Documentation
user_manual_version :
3.1
Conventions :
Argo-3.1 CF-1.6
featureType :
trajectory
decoder_version :
CODA_035b
comment_on_resolution :
JULD and PRES variable resolutions depend on measurement codes
comment_on_measurement_code :
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

import cartopy.crs as ccrs
import cartopy



fig,ax = plt.subplots(figsize=(10,10),subplot_kw={'projection': ccrs.PlateCarree()})
ax.plot(Rtraj.LONGITUDE,Rtraj.LATITUDE,'ob')
ax.plot(Rtraj.LONGITUDE[~np.isnan(Rtraj.LONGITUDE)],Rtraj.LATITUDE[~np.isnan(Rtraj.LATITUDE)],'-b')
ax.plot(Rtraj.LONGITUDE[0],Rtraj.LATITUDE[0],'ok')
ax.plot(Rtraj.LONGITUDE[-1],Rtraj.LATITUDE[-1],'sk')

ax.add_feature(cartopy.feature.LAND)
ax.add_feature(cartopy.feature.COASTLINE, edgecolor='white')
ax.set_title(f"Data from {Rtraj.PLATFORM_NUMBER.values.astype(str)}")
ax.gridlines(draw_labels=True, dms=True, x_inline=False, y_inline=False);

../../_images/99b13ec92ec3ee39504de763b5a718feda8f07117f93d64ab567deaf6f50b5f2.png

fig,ax = plt.subplots(figsize=(10,10))
sc=ax.scatter(Rtraj.PSAL,Rtraj.TEMP,c=Rtraj.PRES)
ax.set_title(f"Vertical Salinity section for float {Rtraj.PLATFORM_NUMBER.astype(str).values}")
ax.set_xlabel(f"{Rtraj.PSAL.long_name}")
ax.set_ylabel(f"{Rtraj.TEMP.long_name}")
fig.colorbar(sc);

../../_images/762a5cea1a006f2eac3e4d1e47239d610cd8154083fae7af62b3874c4082f509.png

fig,ax = plt.subplots(figsize=(15,8))
ax.plot(Rtraj.JULD,Rtraj.PRES,'-')
sc=ax.scatter(Rtraj.JULD,Rtraj.PRES,c=Rtraj.TEMP)
ax.set_xlabel(f"{Rtraj.JULD.standard_name}")
ax.set_ylabel(f"{Rtraj.PRES.long_name}")
ax.invert_yaxis()
fig.colorbar(sc);

../../_images/1312ef5d8b05b3467d3117da24db67df54fda10a07a47822d24cc44067d5a634.png

fig,ax = plt.subplots(figsize=(15,8))
ax.plot(Rtraj.JULD,Rtraj.MEASUREMENT_CODE,'o');

../../_images/a92f6124b6ef5e70f124ec6cb2de60a3d3647e4ed82784198d862e625847b22d.png