Horizontal Validation results comparing model output against observations.

Experiment Information

Area: NS Experiment: Adaptive_1 Validation Type: Horizontal Validation Variables:

ICES Point Profiles

Statistics

PSAL

MetricICES point observations
RMSE2.5983
Bias+0.5417
MAE1.2525
Corr0.9533
Model mean32.7137
Obs mean32.1720
View Full Statistics Report
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PSAL Profile Validation Statistics
################################################################################
  Format:     1.1
  Created:    2026-05-04 11:32:32
  Area:         NS
  Experiment:   Adaptive_1
################################################################################

================================================================================
Period: 2016-2023  |  Model: pyGETM
================================================================================
Analysed: 2026-05-04  12:32:44

--- ICES point observations ---
  RMSE:          2.5983
  Bias:         +0.5417
  MAE:           1.2525
  Correlation:   0.9533
  N points:      2,236,819
  N profiles:    27,980
  Model mean:   32.7137
  Obs mean:     32.1720
  Model std:    4.4837
  Obs std:      6.4251

  Error distribution:
    Min:         -17.2622
    5th pct:      -1.1804
    25th pct:     -0.5350
    Median:       -0.1916
    75th pct:     +0.1352
    95th pct:     +7.2982
    Max:         +33.6566

  Statistics by depth:
  Depth               N        Bias        RMSE      Corr
  ------------------------------------------------------
  0-10m         391,114     +3.2667      5.2914    0.9252
  10-25m        411,753     +0.7607      2.7948    0.9533
  25-50m        407,320     -0.2130      1.3397    0.9564
  50-100m       463,310     -0.3512      0.5545    0.5926
  100-200m      324,064     -0.2796      0.3866    0.5915
  200-500m      224,455     -0.1640      0.2229    0.6268
  500-1000m      14,803     -0.1505      0.1743    0.6283

📄 Download Statistics Report (txt) · 📄 YAML

TEMP

MetricICES point observations
RMSE1.5157
Bias-0.3820
MAE1.0601
Corr0.9148
Model mean8.9551
Obs mean9.3371
View Full Statistics Report
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TEMP Profile Validation Statistics
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  Format:     1.1
  Created:    2026-05-04 11:31:13
  Area:         NS
  Experiment:   Adaptive_1
################################################################################

================================================================================
Period: 2016-2023  |  Model: pyGETM
================================================================================
Analysed: 2026-05-04  12:31:26

--- ICES point observations ---
  RMSE:          1.5157
  Bias:         -0.3820
  MAE:           1.0601
  Correlation:   0.9148
  N points:      2,246,185
  N profiles:    25,958
  Model mean:   8.9551
  Obs mean:     9.3371
  Model std:    3.6048
  Obs std:      3.4742

  Error distribution:
    Min:         -12.0799
    5th pct:      -2.8013
    25th pct:     -1.0371
    Median:       -0.3669
    75th pct:     +0.3448
    95th pct:     +1.7690
    Max:         +12.0793

  Statistics by depth:
  Depth               N        Bias        RMSE      Corr
  ------------------------------------------------------
  0-10m         390,980     +0.2308      1.6030    0.9569
  10-25m        413,973     -0.3756      1.9747    0.9009
  25-50m        409,721     -1.0428      1.8894    0.8219
  50-100m       465,709     -0.7384      1.2876    0.6846
  100-200m      325,784     -0.2764      0.7724    0.4844
  200-500m      225,215     +0.2449      0.6559    0.3443
  500-1000m      14,803     +0.8873      1.0165    0.0654

📄 Download Statistics Report (txt) · 📄 YAML

Plots

Practical Salinity — statistics vs depth profile Practical Salinity — statistics vs depth profile

Temperature — statistics vs depth profile Temperature — statistics vs depth profile

Argo Float Profiles

Statistics

PSAL

MetricARGO floats
RMSE0.6922
Bias-0.2491
MAE0.4690
Corr0.6870
Model mean34.5796
Obs mean34.8287
View Full Statistics Report
################################################################################
PSAL Profile Validation Statistics
################################################################################
  Format:     1.1
  Created:    2026-05-04 13:36:50
  Area:         NS
  Experiment:   Adaptive_1
################################################################################

================================================================================
Period: 2016-2023  |  Model: pyGETM
================================================================================
Analysed: 2026-05-04  21:06:23

--- ARGO floats ---
  RMSE:          0.6922
  Bias:         -0.2491
  MAE:           0.4690
  Correlation:   0.6870
  N points:      9,276
  N profiles:    38
  Model mean:   34.5796
  Obs mean:     34.8287
  Model std:    0.4922
  Obs std:      0.8760

  Error distribution:
    Min:         -1.3595
    5th pct:      -0.8487
    25th pct:     -0.5278
    Median:       -0.3427
    75th pct:     -0.1773
    95th pct:     +0.4624
    Max:         +6.7553

  Statistics by depth:
  Depth               N        Bias        RMSE      Corr
  ------------------------------------------------------
  0-10m             190     +1.5273      2.3618    0.6261
  10-25m            537     +0.6580      1.6159    0.4985
  25-50m            861     -0.2640      0.7838    0.5699
  50-100m         1,730     -0.5288      0.6292    0.5865
  100-200m        2,809     -0.3913      0.4478    0.6586
  200-500m        2,938     -0.2318      0.2616   -0.4022
  500-1000m         211     -0.1519      0.1538    0.7133

📄 Download Statistics Report (txt) · 📄 YAML

TEMP

MetricARGO floats
RMSE1.0520
Bias-0.2508
MAE0.6516
Corr0.9069
Model mean8.4063
Obs mean8.6571
View Full Statistics Report
################################################################################
TEMP Profile Validation Statistics
################################################################################
  Format:     1.1
  Created:    2026-05-04 13:36:47
  Area:         NS
  Experiment:   Adaptive_1
################################################################################

================================================================================
Period: 2016-2023  |  Model: pyGETM
================================================================================
Analysed: 2026-05-04  21:06:21

--- ARGO floats ---
  RMSE:          1.0520
  Bias:         -0.2508
  MAE:           0.6516
  Correlation:   0.9069
  N points:      9,276
  N profiles:    38
  Model mean:   8.4063
  Obs mean:     8.6571
  Model std:    1.3902
  Obs std:      2.0979

  Error distribution:
    Min:         -5.5382
    5th pct:      -2.5747
    25th pct:     -0.5264
    Median:       +0.0516
    75th pct:     +0.2812
    95th pct:     +0.9205
    Max:         +2.9772

  Statistics by depth:
  Depth               N        Bias        RMSE      Corr
  ------------------------------------------------------
  0-10m             190     -0.9902      1.4202    0.9279
  10-25m            537     -1.2007      1.7462    0.8652
  25-50m            861     -1.4986      2.1879    0.8437
  50-100m         1,730     -0.5704      1.2907    0.7462
  100-200m        2,809     -0.0489      0.4083    0.7435
  200-500m        2,938     +0.2326      0.4143    0.2002
  500-1000m         211     +1.1245      1.1272   -0.2890

📄 Download Statistics Report (txt) · 📄 YAML

Plots

Argo float profile overview (NE Atlantic) Argo float profile overview (NE Atlantic)

NA_ARGO — Hovmöller diagram NA_ARGO — Hovmöller diagram

Na Argo Overview Na Argo Overview

Practical Salinity — statistics vs depth profile Practical Salinity — statistics vs depth profile

Temperature — statistics vs depth profile Temperature — statistics vs depth profile

Observations

ARGO Observations — 2016-2023

ARGO Station Map ARGO Station Map

ARGO Observation Density ARGO Observation Density

ARGO Hovmoller ARGO Hovmoller

ICES Observations — 2016-2023

ICES Station Map ICES Station Map

ICES Observation Density ICES Observation Density

ICES PSAL Hovmoller ICES PSAL Hovmoller

ICES TEMP Hovmoller ICES TEMP Hovmoller

Methodology

ICES Point Profiles

Quality-controlled hydrographic profiles from the ICES data portal (temperature, salinity, biogeochemical variables).

Argo Float Profiles

Autonomous profiling floats providing temperature and salinity profiles to 2000 m depth (Ifremer ERDDAP).

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