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Open challenger datasets

import oceanbench

oceanbench.__version__
'0.2.1'

Insert here the code that opens the challenger dataset as challenger_dataset: xarray.Dataset

# SPDX-FileCopyrightText: 2025 Mercator Ocean International <https://www.mercator-ocean.eu/>
#
# SPDX-License-Identifier: EUPL-1.2

# Open XiHe 1 degree base challenger forecasts with xarray
import xarray
import oceanbench

challenger_dataset: xarray.Dataset = oceanbench.datasets.challenger.xihe_1_degree()

challenger_dataset
<xarray.Dataset> Size: 12GB
Dimensions:                          (first_day_datetime: 52,
                                      lead_day_index: 10, depth: 23,
                                      latitude: 170, longitude: 360)
Coordinates:
  * depth                            (depth) float32 92B 0.494 2.646 ... 643.6
  * lead_day_index                   (lead_day_index) int64 80B 0 1 2 ... 7 8 9
  * first_day_datetime               (first_day_datetime) datetime64[us] 416B ...
  * latitude                         (latitude) float64 1kB -79.5 -78.5 ... 89.5
  * longitude                        (longitude) float64 3kB -179.5 ... 179.5
Data variables:
    sea_water_salinity               (first_day_datetime, lead_day_index, depth, latitude, longitude) float32 3GB dask.array<chunksize=(1, 1, 1, 170, 360), meta=np.ndarray>
    sea_water_potential_temperature  (first_day_datetime, lead_day_index, depth, latitude, longitude) float32 3GB dask.array<chunksize=(1, 1, 1, 170, 360), meta=np.ndarray>
    eastward_sea_water_velocity      (first_day_datetime, lead_day_index, depth, latitude, longitude) float32 3GB dask.array<chunksize=(1, 1, 1, 170, 360), meta=np.ndarray>
    northward_sea_water_velocity     (first_day_datetime, lead_day_index, depth, latitude, longitude) float32 3GB dask.array<chunksize=(1, 1, 1, 170, 360), meta=np.ndarray>
    sea_surface_height_above_geoid   (first_day_datetime, lead_day_index, latitude, longitude) float32 127MB dask.array<chunksize=(1, 1, 170, 360), meta=np.ndarray>
Attributes:
    Conventions:                   CF-1.8
    challenger:                    xihe
    forecast_reference_time:       2024-01-02
    oceanbench_source_kind:        challenger
    oceanbench_source_name:        xihe
    oceanbench_source_resolution:  one_degree
xarray.Dataset
    • first_day_datetime: 52
    • lead_day_index: 10
    • depth: 23
    • latitude: 170
    • longitude: 360
    • depth
      (depth)
      float32
      0.494 2.646 5.078 ... 541.1 643.6
      axis :
      Z
      long_name :
      Depth
      positive :
      down
      standard_name :
      depth
      units :
      m
      array([4.940000e-01, 2.645700e+00, 5.078200e+00, 7.929600e+00, 1.140500e+01,
             1.581010e+01, 2.159880e+01, 2.944470e+01, 4.034410e+01, 5.576430e+01,
             7.785390e+01, 9.232610e+01, 1.097293e+02, 1.306660e+02, 1.558507e+02,
             1.861256e+02, 2.224752e+02, 2.660403e+02, 3.181274e+02, 3.802130e+02,
             4.539377e+02, 5.410889e+02, 6.435668e+02], dtype=float32)
    • lead_day_index
      (lead_day_index)
      int64
      0 1 2 3 4 5 6 7 8 9
      array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])
    • first_day_datetime
      (first_day_datetime)
      datetime64[us]
      2024-01-03 ... 2024-12-25
      array(['2024-01-03T00:00:00.000000', '2024-01-10T00:00:00.000000',
             '2024-01-17T00:00:00.000000', '2024-01-24T00:00:00.000000',
             '2024-01-31T00:00:00.000000', '2024-02-07T00:00:00.000000',
             '2024-02-14T00:00:00.000000', '2024-02-21T00:00:00.000000',
             '2024-02-28T00:00:00.000000', '2024-03-06T00:00:00.000000',
             '2024-03-13T00:00:00.000000', '2024-03-20T00:00:00.000000',
             '2024-03-27T00:00:00.000000', '2024-04-03T00:00:00.000000',
             '2024-04-10T00:00:00.000000', '2024-04-17T00:00:00.000000',
             '2024-04-24T00:00:00.000000', '2024-05-01T00:00:00.000000',
             '2024-05-08T00:00:00.000000', '2024-05-15T00:00:00.000000',
             '2024-05-22T00:00:00.000000', '2024-05-29T00:00:00.000000',
             '2024-06-05T00:00:00.000000', '2024-06-12T00:00:00.000000',
             '2024-06-19T00:00:00.000000', '2024-06-26T00:00:00.000000',
             '2024-07-03T00:00:00.000000', '2024-07-10T00:00:00.000000',
             '2024-07-17T00:00:00.000000', '2024-07-24T00:00:00.000000',
             '2024-07-31T00:00:00.000000', '2024-08-07T00:00:00.000000',
             '2024-08-14T00:00:00.000000', '2024-08-21T00:00:00.000000',
             '2024-08-28T00:00:00.000000', '2024-09-04T00:00:00.000000',
             '2024-09-11T00:00:00.000000', '2024-09-18T00:00:00.000000',
             '2024-09-25T00:00:00.000000', '2024-10-02T00:00:00.000000',
             '2024-10-09T00:00:00.000000', '2024-10-16T00:00:00.000000',
             '2024-10-23T00:00:00.000000', '2024-10-30T00:00:00.000000',
             '2024-11-06T00:00:00.000000', '2024-11-13T00:00:00.000000',
             '2024-11-20T00:00:00.000000', '2024-11-27T00:00:00.000000',
             '2024-12-04T00:00:00.000000', '2024-12-11T00:00:00.000000',
             '2024-12-18T00:00:00.000000', '2024-12-25T00:00:00.000000'],
            dtype='datetime64[us]')
    • latitude
      (latitude)
      float64
      -79.5 -78.5 -77.5 ... 88.5 89.5
      axis :
      Y
      long_name :
      Latitude
      standard_name :
      latitude
      units :
      degrees_north
      array([-79.5, -78.5, -77.5, -76.5, -75.5, -74.5, -73.5, -72.5, -71.5, -70.5,
             -69.5, -68.5, -67.5, -66.5, -65.5, -64.5, -63.5, -62.5, -61.5, -60.5,
             -59.5, -58.5, -57.5, -56.5, -55.5, -54.5, -53.5, -52.5, -51.5, -50.5,
             -49.5, -48.5, -47.5, -46.5, -45.5, -44.5, -43.5, -42.5, -41.5, -40.5,
             -39.5, -38.5, -37.5, -36.5, -35.5, -34.5, -33.5, -32.5, -31.5, -30.5,
             -29.5, -28.5, -27.5, -26.5, -25.5, -24.5, -23.5, -22.5, -21.5, -20.5,
             -19.5, -18.5, -17.5, -16.5, -15.5, -14.5, -13.5, -12.5, -11.5, -10.5,
              -9.5,  -8.5,  -7.5,  -6.5,  -5.5,  -4.5,  -3.5,  -2.5,  -1.5,  -0.5,
               0.5,   1.5,   2.5,   3.5,   4.5,   5.5,   6.5,   7.5,   8.5,   9.5,
              10.5,  11.5,  12.5,  13.5,  14.5,  15.5,  16.5,  17.5,  18.5,  19.5,
              20.5,  21.5,  22.5,  23.5,  24.5,  25.5,  26.5,  27.5,  28.5,  29.5,
              30.5,  31.5,  32.5,  33.5,  34.5,  35.5,  36.5,  37.5,  38.5,  39.5,
              40.5,  41.5,  42.5,  43.5,  44.5,  45.5,  46.5,  47.5,  48.5,  49.5,
              50.5,  51.5,  52.5,  53.5,  54.5,  55.5,  56.5,  57.5,  58.5,  59.5,
              60.5,  61.5,  62.5,  63.5,  64.5,  65.5,  66.5,  67.5,  68.5,  69.5,
              70.5,  71.5,  72.5,  73.5,  74.5,  75.5,  76.5,  77.5,  78.5,  79.5,
              80.5,  81.5,  82.5,  83.5,  84.5,  85.5,  86.5,  87.5,  88.5,  89.5])
    • longitude
      (longitude)
      float64
      -179.5 -178.5 ... 178.5 179.5
      axis :
      X
      long_name :
      Longitude
      standard_name :
      longitude
      units :
      degrees_east
      array([-179.5, -178.5, -177.5, ...,  177.5,  178.5,  179.5], shape=(360,))
    • sea_water_salinity
      (first_day_datetime, lead_day_index, depth, latitude, longitude)
      float32
      dask.array<chunksize=(1, 1, 1, 170, 360), meta=np.ndarray>
      long_name :
      Salinity
      standard_name :
      sea_water_salinity
      units :
      1e-3
      Array Chunk
      Bytes 2.73 GiB 239.06 kiB
      Shape (52, 10, 23, 170, 360) (1, 1, 1, 170, 360)
      Dask graph 11960 chunks in 176 graph layers
      Data type float32 numpy.ndarray
      10 52 360 170 23
    • sea_water_potential_temperature
      (first_day_datetime, lead_day_index, depth, latitude, longitude)
      float32
      dask.array<chunksize=(1, 1, 1, 170, 360), meta=np.ndarray>
      long_name :
      Temperature
      standard_name :
      sea_water_potential_temperature
      units :
      degrees_C
      Array Chunk
      Bytes 2.73 GiB 239.06 kiB
      Shape (52, 10, 23, 170, 360) (1, 1, 1, 170, 360)
      Dask graph 11960 chunks in 176 graph layers
      Data type float32 numpy.ndarray
      10 52 360 170 23
    • eastward_sea_water_velocity
      (first_day_datetime, lead_day_index, depth, latitude, longitude)
      float32
      dask.array<chunksize=(1, 1, 1, 170, 360), meta=np.ndarray>
      long_name :
      Eastward velocity
      standard_name :
      eastward_sea_water_velocity
      units :
      m s-1
      Array Chunk
      Bytes 2.73 GiB 239.06 kiB
      Shape (52, 10, 23, 170, 360) (1, 1, 1, 170, 360)
      Dask graph 11960 chunks in 176 graph layers
      Data type float32 numpy.ndarray
      10 52 360 170 23
    • northward_sea_water_velocity
      (first_day_datetime, lead_day_index, depth, latitude, longitude)
      float32
      dask.array<chunksize=(1, 1, 1, 170, 360), meta=np.ndarray>
      long_name :
      Northward velocity
      standard_name :
      northward_sea_water_velocity
      units :
      m s-1
      Array Chunk
      Bytes 2.73 GiB 239.06 kiB
      Shape (52, 10, 23, 170, 360) (1, 1, 1, 170, 360)
      Dask graph 11960 chunks in 176 graph layers
      Data type float32 numpy.ndarray
      10 52 360 170 23
    • sea_surface_height_above_geoid
      (first_day_datetime, lead_day_index, latitude, longitude)
      float32
      dask.array<chunksize=(1, 1, 170, 360), meta=np.ndarray>
      long_name :
      Sea surface height
      standard_name :
      sea_surface_height_above_geoid
      units :
      m
      Array Chunk
      Bytes 121.40 MiB 239.06 kiB
      Shape (52, 10, 170, 360) (1, 1, 170, 360)
      Dask graph 520 chunks in 176 graph layers
      Data type float32 numpy.ndarray
      52 1 360 170 10
    • depth
      PandasIndex
      PandasIndex(Index([0.49399998784065247,   2.645699977874756,   5.078199863433838,
               7.929599761962891,  11.404999732971191,  15.810099601745605,
              21.598800659179688,  29.444700241088867,   40.34410095214844,
               55.76430130004883,   77.85389709472656,   92.32610321044922,
              109.72930145263672,  130.66600036621094,  155.85069274902344,
              186.12559509277344,  222.47520446777344,   266.0403137207031,
               318.1274108886719,   380.2130126953125,   453.9377136230469,
               541.0889282226562,   643.5667724609375],
            dtype='float32', name='depth'))
    • lead_day_index
      PandasIndex
      PandasIndex(Index([0, 1, 2, 3, 4, 5, 6, 7, 8, 9], dtype='int64', name='lead_day_index'))
    • first_day_datetime
      PandasIndex
      PandasIndex(DatetimeIndex(['2024-01-03', '2024-01-10', '2024-01-17', '2024-01-24',
                     '2024-01-31', '2024-02-07', '2024-02-14', '2024-02-21',
                     '2024-02-28', '2024-03-06', '2024-03-13', '2024-03-20',
                     '2024-03-27', '2024-04-03', '2024-04-10', '2024-04-17',
                     '2024-04-24', '2024-05-01', '2024-05-08', '2024-05-15',
                     '2024-05-22', '2024-05-29', '2024-06-05', '2024-06-12',
                     '2024-06-19', '2024-06-26', '2024-07-03', '2024-07-10',
                     '2024-07-17', '2024-07-24', '2024-07-31', '2024-08-07',
                     '2024-08-14', '2024-08-21', '2024-08-28', '2024-09-04',
                     '2024-09-11', '2024-09-18', '2024-09-25', '2024-10-02',
                     '2024-10-09', '2024-10-16', '2024-10-23', '2024-10-30',
                     '2024-11-06', '2024-11-13', '2024-11-20', '2024-11-27',
                     '2024-12-04', '2024-12-11', '2024-12-18', '2024-12-25'],
                    dtype='datetime64[us]', name='first_day_datetime', freq=None))
    • latitude
      PandasIndex
      PandasIndex(Index([-79.5, -78.5, -77.5, -76.5, -75.5, -74.5, -73.5, -72.5, -71.5, -70.5,
             ...
              80.5,  81.5,  82.5,  83.5,  84.5,  85.5,  86.5,  87.5,  88.5,  89.5],
            dtype='float64', name='latitude', length=170))
    • longitude
      PandasIndex
      PandasIndex(Index([-179.5, -178.5, -177.5, -176.5, -175.5, -174.5, -173.5, -172.5, -171.5,
             -170.5,
             ...
              170.5,  171.5,  172.5,  173.5,  174.5,  175.5,  176.5,  177.5,  178.5,
              179.5],
            dtype='float64', name='longitude', length=360))
  • Conventions :
    CF-1.8
    challenger :
    xihe
    forecast_reference_time :
    2024-01-02
    oceanbench_source_kind :
    challenger
    oceanbench_source_name :
    xihe
    oceanbench_source_resolution :
    one_degree

Evaluation configuration

region = 'global'

Evaluation of challenger dataset using OceanBench

Root Mean Square Deviation (RMSD) of variables compared to GLORYS reanalysis

oceanbench.metrics.rmsd_of_variables_compared_to_glorys_reanalysis(
    challenger_dataset,
    region=region,
)
Lead day 1 Lead day 2 Lead day 3 Lead day 4 Lead day 5 Lead day 6 Lead day 7 Lead day 8 Lead day 9 Lead day 10
Sea surface height (m) [sea_surface_height_above_geoid]{surface} 0.077665 0.086245 0.084452 0.085785 0.085547 0.089153 0.089207 0.089335 0.091753 0.091960
Temperature (°C) [sea_water_potential_temperature]{surface} 0.647774 0.646319 0.655875 0.676793 0.689404 0.698794 0.691337 0.764390 0.776909 0.782774
Salinity (PSU) [sea_water_salinity]{surface} 0.701214 0.700574 0.724255 0.727750 0.716986 0.706953 0.702949 0.699338 0.714906 0.687967
Meridional current (m/s) [northward_sea_water_velocity]{surface} 0.122572 0.120705 0.120956 0.121064 0.121660 0.121651 0.120326 0.121313 0.120707 0.121065
Zonal current (m/s) [eastward_sea_water_velocity]{surface} 0.124428 0.122278 0.122781 0.123311 0.124490 0.124270 0.123414 0.124773 0.124787 0.124505
Temperature (°C) [sea_water_potential_temperature]{50m} 0.823850 0.808574 0.801881 0.822734 0.833022 0.849346 0.831490 0.850328 0.853335 0.876902
Salinity (PSU) [sea_water_salinity]{50m} 0.388219 0.403226 0.407826 0.399342 0.415805 0.409601 0.400118 0.402421 0.404977 0.428022
Meridional current (m/s) [northward_sea_water_velocity]{50m} 0.113093 0.110456 0.110039 0.109276 0.109456 0.109472 0.107743 0.108744 0.107876 0.107719
Zonal current (m/s) [eastward_sea_water_velocity]{50m} 0.114074 0.111449 0.111136 0.110305 0.110813 0.110260 0.109479 0.110334 0.110147 0.109979
Temperature (°C) [sea_water_potential_temperature]{100m} 0.970078 0.984815 0.992109 0.998017 1.002566 1.010141 1.002543 1.040577 1.046650 1.065224
Salinity (PSU) [sea_water_salinity]{100m} 0.226592 0.229355 0.228811 0.225611 0.228673 0.227856 0.231008 0.228310 0.233309 0.242841
Meridional current (m/s) [northward_sea_water_velocity]{100m} 0.109418 0.106542 0.105811 0.104089 0.104076 0.103838 0.102024 0.102792 0.101783 0.101544
Zonal current (m/s) [eastward_sea_water_velocity]{100m} 0.113343 0.110452 0.109676 0.107694 0.107875 0.107166 0.105710 0.106514 0.105989 0.105819
Temperature (°C) [sea_water_potential_temperature]{200m} 0.830217 0.807763 0.831240 0.792064 0.822720 0.811815 0.825081 0.840025 0.823567 0.830928
Salinity (PSU) [sea_water_salinity]{200m} 0.145426 0.146293 0.147779 0.143969 0.145609 0.146686 0.143056 0.144702 0.143306 0.144678
Meridional current (m/s) [northward_sea_water_velocity]{200m} 0.105026 0.107883 0.106080 0.102754 0.102837 0.102617 0.102590 0.102760 0.101434 0.100922
Zonal current (m/s) [eastward_sea_water_velocity]{200m} 0.109764 0.112424 0.110938 0.107688 0.108052 0.107454 0.106986 0.107251 0.106109 0.105349
Temperature (°C) [sea_water_potential_temperature]{300m} 0.706965 0.672437 0.693502 0.662725 0.693898 0.695622 0.680617 0.704261 0.699508 0.698094
Salinity (PSU) [sea_water_salinity]{300m} 0.110688 0.111790 0.114226 0.110720 0.111374 0.111730 0.108051 0.110695 0.108357 0.110658
Meridional current (m/s) [northward_sea_water_velocity]{300m} 0.102016 0.105175 0.103554 0.100123 0.100182 0.099958 0.099876 0.099818 0.098572 0.097935
Zonal current (m/s) [eastward_sea_water_velocity]{300m} 0.106059 0.108794 0.107512 0.104029 0.104332 0.104028 0.103820 0.103747 0.102617 0.101651
Temperature (°C) [sea_water_potential_temperature]{500m} 0.530284 0.511558 0.519663 0.505620 0.525962 0.523089 0.513293 0.532077 0.526193 0.522556
Salinity (PSU) [sea_water_salinity]{500m} 0.081569 0.083495 0.082557 0.082038 0.080939 0.082737 0.079795 0.081786 0.080474 0.081956
Meridional current (m/s) [northward_sea_water_velocity]{500m} 0.092960 0.096351 0.094843 0.091439 0.091527 0.091170 0.090979 0.090450 0.089561 0.088995
Zonal current (m/s) [eastward_sea_water_velocity]{500m} 0.096472 0.099777 0.098487 0.095045 0.095316 0.094899 0.094425 0.094048 0.093387 0.092608

Root Mean Square Deviation (RMSD) of Mixed Layer Depth (MLD) compared to GLORYS reanalysis

oceanbench.metrics.rmsd_of_mixed_layer_depth_compared_to_glorys_reanalysis(
    challenger_dataset,
    region=region,
)
Lead day 1 Lead day 2 Lead day 3 Lead day 4 Lead day 5 Lead day 6 Lead day 7 Lead day 8 Lead day 9 Lead day 10
Mixed layer depth (m) [ocean_mixed_layer_thickness]{surface} 65.910599 66.236649 66.792305 72.009048 65.439041 66.183456 72.085144 69.307602 72.636223 64.70533

Root Mean Square Deviation (RMSD) of geostrophic currents compared to GLORYS reanalysis

oceanbench.metrics.rmsd_of_geostrophic_currents_compared_to_glorys_reanalysis(
    challenger_dataset,
    region=region,
)
Lead day 1 Lead day 2 Lead day 3 Lead day 4 Lead day 5 Lead day 6 Lead day 7 Lead day 8 Lead day 9 Lead day 10
Meridional geostrophic current (m/s) [geostrophic_northward_sea_water_velocity]{surface} 0.083049 0.086059 0.086112 0.093937 0.097828 0.099546 0.090946 0.095640 0.096327 0.097132
Zonal geostrophic current (m/s) [geostrophic_eastward_sea_water_velocity]{surface} 0.089272 0.089316 0.091007 0.091694 0.096807 0.096017 0.092521 0.097934 0.102116 0.102043

Root Mean Square Deviation (RMSD) of variables compared to observations

oceanbench.metrics.rmsd_of_variables_compared_to_observations(
    challenger_dataset,
    region=region,
)
Lead day 1 Lead day 2 Lead day 3 Lead day 4 Lead day 5 Lead day 6 Lead day 7 Lead day 8 Lead day 9 Lead day 10
Temperature (°C) [sea_water_potential_temperature]{surface} 0.810334 0.839363 0.806478 0.843192 0.854270 0.911569 0.892912 0.914417 0.963077 0.926694
Temperature (°C) [sea_water_potential_temperature]{0-5m} 0.810882 0.836341 0.859344 0.888672 0.901629 0.920016 0.935466 0.923407 0.968202 1.000531
Temperature (°C) [sea_water_potential_temperature]{5-100m} 0.924114 0.935308 0.908732 0.959835 0.950163 0.970946 0.970757 0.995517 1.009071 1.032936
Temperature (°C) [sea_water_potential_temperature]{100-300m} 0.840811 0.840125 0.818762 0.847752 0.858265 0.839335 0.868332 0.859841 0.869807 0.867981
Temperature (°C) [sea_water_potential_temperature]{300-600m} 0.577784 0.560761 0.552111 0.569974 0.578757 0.571606 0.589100 0.589559 0.602502 0.589985
Salinity (PSU) [sea_water_salinity]{0-5m} 0.245246 0.261359 0.259272 0.282216 0.265960 0.274645 0.261403 0.256798 0.271016 0.271251
Salinity (PSU) [sea_water_salinity]{5-100m} 0.192638 0.201253 0.206079 0.209762 0.210435 0.208379 0.209024 0.204375 0.213557 0.218737
Salinity (PSU) [sea_water_salinity]{100-300m} 0.127599 0.129297 0.127954 0.130167 0.130741 0.126434 0.133766 0.128421 0.130514 0.133482
Salinity (PSU) [sea_water_salinity]{300-600m} 0.080277 0.081198 0.078730 0.081697 0.080171 0.079866 0.083429 0.082403 0.082784 0.082498
Sea level anomaly (m) [sea_surface_height_above_geoid]{surface} 0.109999 0.102799 0.107761 0.110045 0.114276 0.112771 0.118758 0.113027 0.112975 0.115504
Zonal current (m/s) [eastward_sea_water_velocity]{15m} 0.218549 0.215245 0.216777 0.217601 0.216464 0.216227 0.217784 0.219063 0.218342 0.219425
Meridional current (m/s) [northward_sea_water_velocity]{15m} 0.196024 0.194350 0.195057 0.197449 0.196627 0.197149 0.196837 0.198220 0.197341 0.197851

Deviation of Lagrangian trajectories compared to GLORYS reanalysis

oceanbench.metrics.deviation_of_lagrangian_trajectories_compared_to_glorys_reanalysis(
    challenger_dataset,
    region=region,
)
Lead day 2 Lead day 3 Lead day 4 Lead day 5 Lead day 6 Lead day 7 Lead day 8 Lead day 9
Lagrangian trajectory deviation (km) []{surface} 9.752825 17.809423 24.829266 31.260939 37.373959 43.187229 48.785336 54.262936

Root Mean Square Deviation (RMSD) of variables compared to GLO12 analysis

oceanbench.metrics.rmsd_of_variables_compared_to_glo12_analysis(
    challenger_dataset,
    region=region,
)
Lead day 1 Lead day 2 Lead day 3 Lead day 4 Lead day 5 Lead day 6 Lead day 7 Lead day 8 Lead day 9 Lead day 10
Sea surface height (m) [sea_surface_height_above_geoid]{surface} 0.037115 0.045230 0.047503 0.051420 0.055447 0.059229 0.063950 0.062481 0.064939 0.066761
Temperature (°C) [sea_water_potential_temperature]{surface} 0.455552 0.477857 0.490952 0.535297 0.564570 0.589891 0.597004 0.673261 0.674325 0.692301
Salinity (PSU) [sea_water_salinity]{surface} 0.294494 0.346002 0.325568 0.344579 0.354704 0.379047 0.398062 0.412382 0.420007 0.456050
Meridional current (m/s) [northward_sea_water_velocity]{surface} 0.056364 0.068631 0.077664 0.085673 0.093549 0.099937 0.105955 0.111698 0.114463 0.117234
Zonal current (m/s) [eastward_sea_water_velocity]{surface} 0.059368 0.070720 0.079317 0.087865 0.095730 0.102811 0.108648 0.114882 0.118558 0.120775
Temperature (°C) [sea_water_potential_temperature]{50m} 0.706901 0.706026 0.707400 0.749457 0.784216 0.804723 0.825817 0.825096 0.830800 0.850969
Salinity (PSU) [sea_water_salinity]{50m} 0.129360 0.142116 0.148299 0.150523 0.165683 0.166158 0.160374 0.170044 0.174525 0.187030
Meridional current (m/s) [northward_sea_water_velocity]{50m} 0.044277 0.052431 0.060150 0.067332 0.074773 0.081890 0.088123 0.094371 0.097334 0.100289
Zonal current (m/s) [eastward_sea_water_velocity]{50m} 0.046600 0.054830 0.062459 0.070758 0.077160 0.084291 0.091718 0.097441 0.101125 0.104111
Temperature (°C) [sea_water_potential_temperature]{100m} 0.544452 0.567636 0.582213 0.631286 0.652268 0.688870 0.712299 0.754859 0.778803 0.794615
Salinity (PSU) [sea_water_salinity]{100m} 0.102467 0.109947 0.108136 0.121726 0.119089 0.123734 0.124678 0.131930 0.132579 0.128686
Meridional current (m/s) [northward_sea_water_velocity]{100m} 0.038455 0.048232 0.055694 0.062513 0.069965 0.076875 0.082788 0.088664 0.091717 0.094386
Zonal current (m/s) [eastward_sea_water_velocity]{100m} 0.038660 0.049245 0.056941 0.064201 0.071481 0.078348 0.084335 0.090052 0.093506 0.096159
Temperature (°C) [sea_water_potential_temperature]{200m} 0.428159 0.394893 0.403712 0.449581 0.459541 0.482331 0.519728 0.541573 0.540365 0.554186
Salinity (PSU) [sea_water_salinity]{200m} 0.070407 0.069643 0.068467 0.077585 0.077983 0.082597 0.087186 0.090103 0.091464 0.092489
Meridional current (m/s) [northward_sea_water_velocity]{200m} 0.060596 0.037532 0.042256 0.049847 0.054813 0.061398 0.067330 0.072535 0.075122 0.077852
Zonal current (m/s) [eastward_sea_water_velocity]{200m} 0.055824 0.037042 0.041714 0.049626 0.054112 0.060371 0.066409 0.071318 0.074033 0.076780
Temperature (°C) [sea_water_potential_temperature]{300m} 0.377602 0.330568 0.340023 0.378762 0.395266 0.418349 0.443767 0.467986 0.472274 0.481496
Salinity (PSU) [sea_water_salinity]{300m} 0.061100 0.058722 0.060023 0.065716 0.067150 0.070463 0.074713 0.076963 0.078041 0.079391
Meridional current (m/s) [northward_sea_water_velocity]{300m} 0.055913 0.034887 0.039473 0.046798 0.051432 0.057583 0.063247 0.068256 0.070806 0.073466
Zonal current (m/s) [eastward_sea_water_velocity]{300m} 0.051115 0.033978 0.038650 0.046015 0.050386 0.056136 0.061987 0.066656 0.069233 0.071874
Temperature (°C) [sea_water_potential_temperature]{500m} 0.299534 0.270412 0.265263 0.307998 0.316150 0.325001 0.349848 0.368226 0.370804 0.375769
Salinity (PSU) [sea_water_salinity]{500m} 0.050930 0.050443 0.048576 0.054089 0.053629 0.056677 0.058931 0.060632 0.060591 0.062066
Meridional current (m/s) [northward_sea_water_velocity]{500m} 0.047068 0.031620 0.035942 0.042634 0.046488 0.051519 0.056673 0.060892 0.063177 0.065505
Zonal current (m/s) [eastward_sea_water_velocity]{500m} 0.042608 0.030757 0.035163 0.041945 0.045563 0.050298 0.055466 0.059488 0.061799 0.064136

Root Mean Square Deviation (RMSD) of Mixed Layer Depth (MLD) compared to GLO12 analysis

oceanbench.metrics.rmsd_of_mixed_layer_depth_compared_to_glo12_analysis(
    challenger_dataset,
    region=region,
)
Lead day 1 Lead day 2 Lead day 3 Lead day 4 Lead day 5 Lead day 6 Lead day 7 Lead day 8 Lead day 9 Lead day 10
Mixed layer depth (m) [ocean_mixed_layer_thickness]{surface} 62.379978 61.419914 63.27655 68.551521 60.480465 62.01992 68.943497 66.261299 70.296143 60.576836

Root Mean Square Deviation (RMSD) of geostrophic currents compared to GLO12 analysis

oceanbench.metrics.rmsd_of_geostrophic_currents_compared_to_glo12_analysis(
    challenger_dataset,
    region=region,
)
Lead day 1 Lead day 2 Lead day 3 Lead day 4 Lead day 5 Lead day 6 Lead day 7 Lead day 8 Lead day 9 Lead day 10
Meridional geostrophic current (m/s) [geostrophic_northward_sea_water_velocity]{surface} 0.069762 0.074794 0.075750 0.085606 0.090677 0.093417 0.084910 0.091282 0.092606 0.094132
Zonal geostrophic current (m/s) [geostrophic_eastward_sea_water_velocity]{surface} 0.079752 0.081537 0.083716 0.085935 0.091789 0.091860 0.089727 0.095908 0.100270 0.100264

Deviation of Lagrangian trajectories compared to GLO12 analysis

oceanbench.metrics.deviation_of_lagrangian_trajectories_compared_to_glo12_analysis(
    challenger_dataset,
    region=region,
)
Lead day 2 Lead day 3 Lead day 4 Lead day 5 Lead day 6 Lead day 7 Lead day 8 Lead day 9
Lagrangian trajectory deviation (km) []{surface} 4.962429 9.75316 14.218877 18.619001 23.162167 27.811899 32.581509 37.506786
 

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