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Open challenger datasets

import oceanbench

oceanbench.__version__
'0.0.3'

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 GLONET forecasts with xarray
import xarray
import oceanbench

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

challenger_dataset
<xarray.Dataset> Size: 342GB
Dimensions:             (first_day_datetime: 52, lead_day_index: 10, depth: 21,
                         lat: 672, lon: 1440)
Coordinates:
  * depth               (depth) float32 84B 0.494 47.37 ... 4.833e+03 5.275e+03
  * lat                 (lat) float64 5kB -78.0 -77.75 -77.5 ... 89.5 89.75
  * lead_day_index      (lead_day_index) int64 80B 0 1 2 3 4 5 6 7 8 9
  * lon                 (lon) float64 12kB -180.0 -179.8 -179.5 ... 179.5 179.8
  * first_day_datetime  (first_day_datetime) datetime64[us] 416B 2024-01-03 ....
Data variables:
    so                  (first_day_datetime, lead_day_index, depth, lat, lon) float64 85GB dask.array<chunksize=(1, 10, 1, 672, 1440), meta=np.ndarray>
    thetao              (first_day_datetime, lead_day_index, depth, lat, lon) float64 85GB dask.array<chunksize=(1, 10, 1, 672, 1440), meta=np.ndarray>
    uo                  (first_day_datetime, lead_day_index, depth, lat, lon) float64 85GB dask.array<chunksize=(1, 10, 1, 672, 1440), meta=np.ndarray>
    vo                  (first_day_datetime, lead_day_index, depth, lat, lon) float64 85GB dask.array<chunksize=(1, 10, 1, 672, 1440), meta=np.ndarray>
    zos                 (first_day_datetime, lead_day_index, lat, lon) float64 4GB dask.array<chunksize=(1, 10, 672, 1440), meta=np.ndarray>
Attributes:
    regrid_method:           bilinear
    oceanbench_source_kind:  challenger
    oceanbench_source_name:  glonet
xarray.Dataset
    • first_day_datetime: 52
    • lead_day_index: 10
    • depth: 21
    • lat: 672
    • lon: 1440
    • depth
      (depth)
      float32
      0.494 47.37 ... 4.833e+03 5.275e+03
      long_name :
      Depth
      standard_name :
      depth
      units :
      m
      units_long :
      Meters
      array([4.940250e-01, 4.737369e+01, 9.232607e+01, 1.558507e+02, 2.224752e+02,
             3.181274e+02, 3.802130e+02, 4.539377e+02, 5.410889e+02, 6.435668e+02,
             7.633331e+02, 9.023393e+02, 1.245291e+03, 1.684284e+03, 2.225078e+03,
             3.220820e+03, 3.597032e+03, 3.992484e+03, 4.405224e+03, 4.833291e+03,
             5.274784e+03], dtype=float32)
    • lat
      (lat)
      float64
      -78.0 -77.75 -77.5 ... 89.5 89.75
      axis :
      Y
      long_name :
      Latitude
      standard_name :
      latitude
      units :
      degrees_north
      units_long :
      Degrees North
      array([-78.  , -77.75, -77.5 , ...,  89.25,  89.5 ,  89.75], shape=(672,))
    • 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])
    • lon
      (lon)
      float64
      -180.0 -179.8 ... 179.5 179.8
      axis :
      X
      long_name :
      Longitude
      standard_name :
      longitude
      units :
      degrees_east
      units_long :
      Degrees East
      array([-180.  , -179.75, -179.5 , ...,  179.25,  179.5 ,  179.75],
            shape=(1440,))
    • 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]')
    • so
      (first_day_datetime, lead_day_index, depth, lat, lon)
      float64
      dask.array<chunksize=(1, 10, 1, 672, 1440), meta=np.ndarray>
      standard_name :
      sea_water_salinity
      Array Chunk
      Bytes 78.73 GiB 73.83 MiB
      Shape (52, 10, 21, 672, 1440) (1, 10, 1, 672, 1440)
      Dask graph 1092 chunks in 157 graph layers
      Data type float64 numpy.ndarray
      10 52 1440 672 21
    • thetao
      (first_day_datetime, lead_day_index, depth, lat, lon)
      float64
      dask.array<chunksize=(1, 10, 1, 672, 1440), meta=np.ndarray>
      standard_name :
      sea_water_potential_temperature
      Array Chunk
      Bytes 78.73 GiB 73.83 MiB
      Shape (52, 10, 21, 672, 1440) (1, 10, 1, 672, 1440)
      Dask graph 1092 chunks in 157 graph layers
      Data type float64 numpy.ndarray
      10 52 1440 672 21
    • uo
      (first_day_datetime, lead_day_index, depth, lat, lon)
      float64
      dask.array<chunksize=(1, 10, 1, 672, 1440), meta=np.ndarray>
      standard_name :
      eastward_sea_water_velocity
      Array Chunk
      Bytes 78.73 GiB 73.83 MiB
      Shape (52, 10, 21, 672, 1440) (1, 10, 1, 672, 1440)
      Dask graph 1092 chunks in 157 graph layers
      Data type float64 numpy.ndarray
      10 52 1440 672 21
    • vo
      (first_day_datetime, lead_day_index, depth, lat, lon)
      float64
      dask.array<chunksize=(1, 10, 1, 672, 1440), meta=np.ndarray>
      standard_name :
      northward_sea_water_velocity
      Array Chunk
      Bytes 78.73 GiB 73.83 MiB
      Shape (52, 10, 21, 672, 1440) (1, 10, 1, 672, 1440)
      Dask graph 1092 chunks in 157 graph layers
      Data type float64 numpy.ndarray
      10 52 1440 672 21
    • zos
      (first_day_datetime, lead_day_index, lat, lon)
      float64
      dask.array<chunksize=(1, 10, 672, 1440), meta=np.ndarray>
      standard_name :
      sea_surface_height_above_geoid
      Array Chunk
      Bytes 3.75 GiB 73.83 MiB
      Shape (52, 10, 672, 1440) (1, 10, 672, 1440)
      Dask graph 52 chunks in 157 graph layers
      Data type float64 numpy.ndarray
      52 1 1440 672 10
    • depth
      PandasIndex
      PandasIndex(Index([0.49402499198913574,   47.37369155883789,    92.3260726928711,
              155.85069274902344,  222.47520446777344,   318.1274108886719,
               380.2130126953125,   453.9377136230469,   541.0889282226562,
               643.5667724609375,   763.3331298828125,   902.3392944335938,
                  1245.291015625,  1684.2840576171875,   2225.077880859375,
               3220.820068359375,   3597.031982421875,    3992.48388671875,
                4405.22412109375,      4833.291015625,     5274.7841796875],
            dtype='float32', name='depth'))
    • lat
      PandasIndex
      PandasIndex(Index([ -78.0, -77.75,  -77.5, -77.25,  -77.0, -76.75,  -76.5, -76.25,  -76.0,
             -75.75,
             ...
               87.5,  87.75,   88.0,  88.25,   88.5,  88.75,   89.0,  89.25,   89.5,
              89.75],
            dtype='float64', name='lat', length=672))
    • lead_day_index
      PandasIndex
      PandasIndex(Index([0, 1, 2, 3, 4, 5, 6, 7, 8, 9], dtype='int64', name='lead_day_index'))
    • lon
      PandasIndex
      PandasIndex(Index([ -180.0, -179.75,  -179.5, -179.25,  -179.0, -178.75,  -178.5, -178.25,
              -178.0, -177.75,
             ...
               177.5,  177.75,   178.0,  178.25,   178.5,  178.75,   179.0,  179.25,
               179.5,  179.75],
            dtype='float64', name='lon', length=1440))
    • 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))
  • regrid_method :
    bilinear
    oceanbench_source_kind :
    challenger
    oceanbench_source_name :
    glonet

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)
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} 0.075011 0.075699 0.076645 0.077234 0.081292 0.081417 0.083991 0.083980 0.088251 0.088682
Temperature (°C) [sea_water_potential_temperature]{surface} 0.652963 0.668138 0.684100 0.688940 0.744553 0.757282 0.823219 0.825482 0.897370 0.912831
Salinity (PSU) [sea_water_salinity]{surface} 0.784364 0.779122 0.789065 0.784865 0.794788 0.786468 0.800714 0.793921 0.808190 0.794032
Meridional current (m/s) [northward_sea_water_velocity]{surface} 0.123800 0.123134 0.123660 0.124213 0.127258 0.127924 0.131070 0.133070 0.136935 0.138084
Zonal current (m/s) [eastward_sea_water_velocity]{surface} 0.124898 0.124549 0.125849 0.126905 0.130907 0.131856 0.134816 0.137345 0.141916 0.143689
Temperature (°C) [sea_water_potential_temperature]{50m} 0.951248 0.961385 0.978586 0.996311 1.032044 1.068456 1.105065 1.160277 1.190581 1.260577
Salinity (PSU) [sea_water_salinity]{50m} 0.359301 0.358292 0.366537 0.366240 0.372034 0.372357 0.377904 0.378843 0.384317 0.385659
Meridional current (m/s) [northward_sea_water_velocity]{50m} 0.109311 0.109163 0.108036 0.108942 0.109924 0.112125 0.114690 0.117981 0.120302 0.122909
Zonal current (m/s) [eastward_sea_water_velocity]{50m} 0.110983 0.110652 0.109731 0.110446 0.111411 0.113305 0.115646 0.118677 0.121262 0.124403
Temperature (°C) [sea_water_potential_temperature]{100m} 1.013975 1.018525 1.032025 1.046868 1.063016 1.092178 1.111447 1.153763 1.171003 1.223978
Salinity (PSU) [sea_water_salinity]{100m} 0.246523 0.246794 0.249711 0.250683 0.253024 0.254625 0.256996 0.259219 0.261306 0.263804
Meridional current (m/s) [northward_sea_water_velocity]{100m} 0.105919 0.105832 0.104502 0.105035 0.105380 0.106563 0.107945 0.109703 0.110885 0.112160
Zonal current (m/s) [eastward_sea_water_velocity]{100m} 0.110653 0.110651 0.109524 0.109958 0.110344 0.111537 0.113006 0.115070 0.116687 0.118498
Temperature (°C) [sea_water_potential_temperature]{200m} 0.867029 0.870941 0.878790 0.883569 0.887966 0.895524 0.904188 0.914558 0.925263 0.936086
Salinity (PSU) [sea_water_salinity]{200m} 0.159557 0.159735 0.159892 0.160298 0.161005 0.161776 0.162855 0.163919 0.164964 0.166105
Meridional current (m/s) [northward_sea_water_velocity]{200m} 0.102400 0.102331 0.100579 0.100846 0.100593 0.101262 0.101794 0.102904 0.103303 0.104081
Zonal current (m/s) [eastward_sea_water_velocity]{200m} 0.108176 0.108098 0.106771 0.106957 0.106967 0.107645 0.108373 0.109453 0.110106 0.110912
Temperature (°C) [sea_water_potential_temperature]{300m} 0.734689 0.735288 0.736196 0.737351 0.732081 0.735824 0.735552 0.742193 0.745348 0.751863
Salinity (PSU) [sea_water_salinity]{300m} 0.124912 0.124815 0.125415 0.125307 0.125971 0.126063 0.126989 0.127309 0.128231 0.128575
Meridional current (m/s) [northward_sea_water_velocity]{300m} 0.099733 0.099704 0.097817 0.097987 0.097577 0.098127 0.098485 0.099400 0.099657 0.100303
Zonal current (m/s) [eastward_sea_water_velocity]{300m} 0.103871 0.103814 0.102149 0.102244 0.101957 0.102389 0.102767 0.103520 0.103912 0.104471
Temperature (°C) [sea_water_potential_temperature]{500m} 0.545585 0.547753 0.537034 0.539727 0.540524 0.544230 0.550843 0.555686 0.564125 0.568008
Salinity (PSU) [sea_water_salinity]{500m} 0.091974 0.091945 0.092292 0.092268 0.093319 0.093435 0.094779 0.095063 0.096352 0.096659
Meridional current (m/s) [northward_sea_water_velocity]{500m} 0.091327 0.091229 0.089428 0.089417 0.088931 0.089205 0.089349 0.089864 0.089993 0.090328
Zonal current (m/s) [eastward_sea_water_velocity]{500m} 0.094957 0.094842 0.093170 0.093178 0.092854 0.093130 0.093391 0.093905 0.094204 0.094599

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)
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} 50.251743 50.82864 53.98539 54.95322 57.824455 59.233372 61.252884 62.355217 63.671677 64.697449

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

oceanbench.metrics.rmsd_of_geostrophic_currents_compared_to_glorys_reanalysis(challenger_dataset)
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} 0.176607 0.173512 0.221559 0.217770 0.259084 0.256862 0.288663 0.290793 0.316418 0.323351
Zonal geostrophic current (m/s) [geostrophic_eastward_sea_water_velocity]{surface} 0.151486 0.157598 0.181247 0.186305 0.209214 0.218188 0.234009 0.247158 0.260691 0.276672

Deviation of Lagrangian trajectories compared to GLORYS reanalysis

oceanbench.metrics.deviation_of_lagrangian_trajectories_compared_to_glorys_reanalysis(challenger_dataset)
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} 9.862782 18.890907 27.450657 35.810017 43.981487 51.923313 59.705467 67.423134

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

oceanbench.metrics.rmsd_of_variables_compared_to_glo12_analysis(challenger_dataset)
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} 0.025780 0.029301 0.033534 0.039503 0.045606 0.050002 0.053699 0.058903 0.062252 0.066096
Temperature (°C) [sea_water_potential_temperature]{surface} 0.388620 0.411672 0.485040 0.500570 0.595979 0.623103 0.710947 0.724981 0.806269 0.832784
Salinity (PSU) [sea_water_salinity]{surface} 0.140916 0.146462 0.203252 0.213358 0.255208 0.267359 0.299953 0.311225 0.340455 0.348861
Meridional current (m/s) [northward_sea_water_velocity]{surface} 0.068369 0.072029 0.071847 0.080475 0.089933 0.098010 0.107079 0.114994 0.122598 0.127473
Zonal current (m/s) [eastward_sea_water_velocity]{surface} 0.064771 0.068845 0.071855 0.081153 0.092060 0.100413 0.109362 0.117794 0.126338 0.131918
Temperature (°C) [sea_water_potential_temperature]{50m} 0.702055 0.710236 0.753596 0.775416 0.838386 0.882290 0.945973 1.008881 1.058662 1.130818
Salinity (PSU) [sea_water_salinity]{50m} 0.095831 0.097780 0.134589 0.137478 0.161834 0.165318 0.183895 0.187332 0.202354 0.204958
Meridional current (m/s) [northward_sea_water_velocity]{50m} 0.047760 0.049972 0.054521 0.059547 0.065906 0.073754 0.082213 0.090825 0.097382 0.103803
Zonal current (m/s) [eastward_sea_water_velocity]{50m} 0.046600 0.048748 0.054929 0.060186 0.066618 0.074229 0.082736 0.091579 0.098847 0.106180
Temperature (°C) [sea_water_potential_temperature]{100m} 0.522847 0.526607 0.597924 0.622630 0.699546 0.745729 0.819989 0.879932 0.940328 1.003553
Salinity (PSU) [sea_water_salinity]{100m} 0.076010 0.076386 0.101227 0.102202 0.120608 0.121995 0.136997 0.138382 0.150349 0.150559
Meridional current (m/s) [northward_sea_water_velocity]{100m} 0.042005 0.043258 0.047754 0.052183 0.058149 0.064753 0.072256 0.079311 0.084997 0.090058
Zonal current (m/s) [eastward_sea_water_velocity]{100m} 0.040545 0.042111 0.047730 0.052621 0.058823 0.065822 0.073434 0.081103 0.087364 0.093321
Temperature (°C) [sea_water_potential_temperature]{200m} 0.391543 0.396270 0.448988 0.464644 0.502227 0.529207 0.567405 0.601182 0.631457 0.661974
Salinity (PSU) [sea_water_salinity]{200m} 0.050069 0.050239 0.068609 0.069914 0.082745 0.085129 0.095045 0.097956 0.105042 0.107349
Meridional current (m/s) [northward_sea_water_velocity]{200m} 0.032637 0.033100 0.037202 0.041037 0.046489 0.052556 0.059295 0.065895 0.071006 0.075811
Zonal current (m/s) [eastward_sea_water_velocity]{200m} 0.031238 0.031831 0.036459 0.040427 0.045911 0.052069 0.058771 0.065435 0.070680 0.075760
Temperature (°C) [sea_water_potential_temperature]{300m} 0.335959 0.340393 0.385704 0.399754 0.423556 0.448691 0.473652 0.505357 0.525183 0.553571
Salinity (PSU) [sea_water_salinity]{300m} 0.047760 0.047986 0.061836 0.063108 0.072131 0.074458 0.081321 0.084229 0.089002 0.091470
Meridional current (m/s) [northward_sea_water_velocity]{300m} 0.029545 0.029892 0.033992 0.037673 0.042934 0.048734 0.055128 0.061438 0.066320 0.070997
Zonal current (m/s) [eastward_sea_water_velocity]{300m} 0.028255 0.028633 0.033187 0.036940 0.042150 0.048016 0.054319 0.060621 0.065580 0.070419
Temperature (°C) [sea_water_potential_temperature]{500m} 0.194694 0.196094 0.246721 0.253839 0.297452 0.310491 0.349549 0.366145 0.395775 0.408791
Salinity (PSU) [sea_water_salinity]{500m} 0.035103 0.035132 0.046463 0.047006 0.055479 0.056580 0.063143 0.064618 0.069374 0.070598
Meridional current (m/s) [northward_sea_water_velocity]{500m} 0.025130 0.025526 0.029519 0.033102 0.037931 0.043148 0.048758 0.054264 0.058597 0.062732
Zonal current (m/s) [eastward_sea_water_velocity]{500m} 0.023922 0.024333 0.028755 0.032310 0.037066 0.042218 0.047697 0.053176 0.057571 0.061851

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)
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} 43.029461 43.807594 48.643303 49.789185 53.622307 55.17326 57.538815 58.539513 60.072083 61.23093

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

oceanbench.metrics.rmsd_of_geostrophic_currents_compared_to_glo12_analysis(challenger_dataset)
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} 0.147975 0.145613 0.201780 0.199978 0.244811 0.245446 0.279339 0.284038 0.310540 0.319329
Zonal geostrophic current (m/s) [geostrophic_eastward_sea_water_velocity]{surface} 0.119203 0.128415 0.159816 0.168583 0.194141 0.206955 0.225031 0.241145 0.255658 0.272876

Deviation of Lagrangian trajectories compared to GLO12 analysis

oceanbench.metrics.deviation_of_lagrangian_trajectories_compared_to_glo12_analysis(challenger_dataset)
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} 4.351207 8.416325 12.587933 17.458523 22.997576 29.091667 35.697056 42.743877

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

oceanbench.metrics.rmsd_of_variables_compared_to_observations(challenger_dataset)
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} 0.867764 0.816412 0.838615 0.849771 0.927732 0.921523 0.981041 0.985206 1.011468 1.023839
Temperature (°C) [sea_water_potential_temperature]{0-5m} 0.592478 0.630840 0.665090 0.928491 0.970872 1.000898 1.027830 1.042143 1.096257 1.153546
Temperature (°C) [sea_water_potential_temperature]{5-100m} 1.107826 0.903215 1.034545 1.140734 1.147412 1.181873 1.225673 1.258410 1.285418 1.344989
Temperature (°C) [sea_water_potential_temperature]{100-300m} 1.033868 0.788003 0.925397 0.903191 0.896636 0.932962 0.948264 0.970486 0.986091 1.047510
Temperature (°C) [sea_water_potential_temperature]{300-600m} 0.631611 0.495254 0.553197 0.557982 0.560380 0.569026 0.585990 0.588777 0.586582 0.645978
Salinity (PSU) [sea_water_salinity]{0-5m} 0.233539 0.279709 0.360804 0.255490 0.276847 0.257534 0.258893 0.276588 0.289814 0.313139
Salinity (PSU) [sea_water_salinity]{5-100m} 0.192404 0.218760 0.196732 0.216452 0.223749 0.218953 0.216865 0.228068 0.238726 0.232267
Salinity (PSU) [sea_water_salinity]{100-300m} 0.161073 0.110118 0.142648 0.136320 0.133775 0.140882 0.138625 0.141583 0.144069 0.148762
Salinity (PSU) [sea_water_salinity]{300-600m} 0.103350 0.075756 0.085201 0.082618 0.084578 0.085027 0.088226 0.087739 0.090806 0.097214
Sea level anomaly (m) [sea_surface_height_above_geoid]{surface} 0.106589 0.107000 0.106920 0.113592 0.112851 0.116288 0.115657 0.121191 0.119178 0.124120
Zonal current (m/s) [eastward_sea_water_velocity]{15m} 0.194236 0.208593 0.207896 0.207826 0.209864 0.213325 0.215678 0.215365 0.218060 0.218666
Meridional current (m/s) [northward_sea_water_velocity]{15m} 0.177510 0.191586 0.194584 0.193850 0.195859 0.196658 0.198811 0.199334 0.200772 0.203301
 

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