Horizontal Validation results comparing model output against observations.
Experiment Information
Area: NS Experiment: Adaptive_3 Validation Type: Horizontal Validation Variables:
ICES Point Profiles
Statistics
PSAL
| Metric | ICES point observations |
|---|---|
| RMSE | 2.6013 |
| Bias | +0.5436 |
| MAE | 1.2563 |
| Corr | 0.9532 |
| Model mean | 32.7156 |
| Obs mean | 32.1720 |
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PSAL Profile Validation Statistics
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Format: 1.1
Created: 2026-05-04 11:38:51
Area: NS
Experiment: Adaptive_3
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================================================================================
Period: 2016-2023 | Model: pyGETM
================================================================================
Analysed: 2026-05-04 12:38:44
--- ICES point observations ---
RMSE: 2.6013
Bias: +0.5436
MAE: 1.2563
Correlation: 0.9532
N points: 2,236,795
N profiles: 27,980
Model mean: 32.7156
Obs mean: 32.1720
Model std: 4.4810
Obs std: 6.4250
Error distribution:
Min: -17.2535
5th pct: -1.1663
25th pct: -0.5393
Median: -0.1987
75th pct: +0.1378
95th pct: +7.3066
Max: +33.6562
Statistics by depth:
Depth N Bias RMSE Corr
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0-10m 391,106 +3.2766 5.2981 0.9250
10-25m 411,736 +0.7713 2.7977 0.9532
25-50m 407,350 -0.2055 1.3373 0.9566
50-100m 463,309 -0.3517 0.5543 0.5911
100-200m 324,029 -0.2897 0.3961 0.5930
200-500m 224,457 -0.1794 0.2395 0.6292
500-1000m 14,808 -0.1664 0.1901 0.6165
📄 Download Statistics Report (txt) · 📄 YAML
TEMP
| Metric | ICES point observations |
|---|---|
| RMSE | 1.5151 |
| Bias | -0.3804 |
| MAE | 1.0595 |
| Corr | 0.9145 |
| Model mean | 8.9568 |
| Obs mean | 9.3372 |
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TEMP Profile Validation Statistics
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Format: 1.1
Created: 2026-05-04 11:37:30
Area: NS
Experiment: Adaptive_3
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================================================================================
Period: 2016-2023 | Model: pyGETM
================================================================================
Analysed: 2026-05-04 12:37:28
--- ICES point observations ---
RMSE: 1.5151
Bias: -0.3804
MAE: 1.0595
Correlation: 0.9145
N points: 2,246,161
N profiles: 25,958
Model mean: 8.9568
Obs mean: 9.3372
Model std: 3.5958
Obs std: 3.4741
Error distribution:
Min: -11.7916
5th pct: -2.8067
25th pct: -1.0357
Median: -0.3641
75th pct: +0.3438
95th pct: +1.7755
Max: +12.0768
Statistics by depth:
Depth N Bias RMSE Corr
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0-10m 390,972 +0.2215 1.6071 0.9564
10-25m 413,956 -0.3785 1.9771 0.9001
25-50m 409,751 -1.0261 1.8853 0.8203
50-100m 465,708 -0.7334 1.2834 0.6857
100-200m 325,749 -0.2760 0.7729 0.4876
200-500m 225,217 +0.2416 0.6497 0.3641
500-1000m 14,808 +0.8863 1.0180 0.1003
📄 Download Statistics Report (txt) · 📄 YAML
Plots
Practical Salinity — statistics vs depth profile
Temperature — statistics vs depth profile
Argo Float Profiles
Statistics
PSAL
| Metric | ARGO floats |
|---|---|
| RMSE | 0.7143 |
| Bias | -0.2648 |
| MAE | 0.4908 |
| Corr | 0.6610 |
| Model mean | 34.5639 |
| Obs mean | 34.8287 |
View Full Statistics Report
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PSAL Profile Validation Statistics
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Format: 1.1
Created: 2026-05-04 14:07:33
Area: NS
Experiment: Adaptive_3
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================================================================================
Period: 2016-2023 | Model: pyGETM
================================================================================
Analysed: 2026-05-04 21:13:25
--- ARGO floats ---
RMSE: 0.7143
Bias: -0.2648
MAE: 0.4908
Correlation: 0.6610
N points: 9,276
N profiles: 38
Model mean: 34.5639
Obs mean: 34.8287
Model std: 0.4892
Obs std: 0.8760
Error distribution:
Min: -1.3925
5th pct: -0.8811
25th pct: -0.5452
Median: -0.3641
75th pct: -0.1843
95th pct: +0.4947
Max: +6.7938
Statistics by depth:
Depth N Bias RMSE Corr
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0-10m 190 +1.5637 2.3900 0.6247
10-25m 537 +0.6687 1.6501 0.4409
25-50m 861 -0.2892 0.8410 0.4793
50-100m 1,730 -0.5485 0.6493 0.5709
100-200m 2,809 -0.4119 0.4684 0.6501
200-500m 2,938 -0.2461 0.2769 -0.3835
500-1000m 211 -0.1639 0.1659 0.7071
📄 Download Statistics Report (txt) · 📄 YAML
TEMP
| Metric | ARGO floats |
|---|---|
| RMSE | 1.1031 |
| Bias | -0.1856 |
| MAE | 0.6964 |
| Corr | 0.8811 |
| Model mean | 8.4715 |
| Obs mean | 8.6571 |
View Full Statistics Report
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TEMP Profile Validation Statistics
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Format: 1.1
Created: 2026-05-04 14:07:31
Area: NS
Experiment: Adaptive_3
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================================================================================
Period: 2016-2023 | Model: pyGETM
================================================================================
Analysed: 2026-05-04 21:13:23
--- ARGO floats ---
RMSE: 1.1031
Bias: -0.1856
MAE: 0.6964
Correlation: 0.8811
N points: 9,276
N profiles: 38
Model mean: 8.4715
Obs mean: 8.6571
Model std: 1.4037
Obs std: 2.0979
Error distribution:
Min: -5.4893
5th pct: -2.6400
25th pct: -0.4859
Median: +0.1210
75th pct: +0.3083
95th pct: +1.0569
Max: +4.0149
Statistics by depth:
Depth N Bias RMSE Corr
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0-10m 190 -1.0708 1.4978 0.9224
10-25m 537 -1.0319 1.9258 0.7623
25-50m 861 -1.2488 2.3253 0.6970
50-100m 1,730 -0.4750 1.3044 0.7046
100-200m 2,809 -0.0066 0.4185 0.7188
200-500m 2,938 +0.2431 0.4169 0.2390
500-1000m 211 +1.1224 1.1253 -0.6326
📄 Download Statistics Report (txt) · 📄 YAML
Plots
Argo float profile overview (NE Atlantic)
NA_ARGO — Hovmöller diagram
Na Argo Overview
Practical Salinity — statistics vs depth profile
Temperature — statistics vs depth profile
Observations
ARGO Observations — 2016-2023
ARGO Station Map
ARGO Observation Density
ARGO Hovmoller
ICES Observations — 2016-2023
ICES Station Map
ICES Observation Density
ICES PSAL 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).