Horizontal Validation results comparing model output against observations.
Experiment Information
Area: NSe Experiment: CMEMS/v01P Validation Type: Horizontal Validation Variables: SALT_BOTTOM, TEMP_BOTTOM, SALT_SURFACE, TEMP_SURFACE Period: 2010–2013
Overview
| Metric | SALT_BOTTOM / NWS-salinity | TEMP_BOTTOM / NWS-bottomT | SALT_SURFACE / CCI-SSS | TEMP_SURFACE / OSTIA | TEMP_SURFACE / CCI-SST | TEMP_SURFACE / OISST |
|---|---|---|---|---|---|---|
| RMSE | 0.6971 | 1.4277 | 3.3841 | 1.0235 | 1.0134 | 1.0914 |
| Bias | -0.3027 | -0.5865 | -1.5321 | 0.0815 | 0.1903 | 0.1890 |
| Corr | 0.8896 | 0.9169 | 0.8908 | 0.9080 | 0.9145 | 0.9076 |
| N points | 1,265,376 | 1,265,376 | 40,069,386 | 42,772,236 | 43,019,271 | 39,162,105 |
Horizontal Validation
Statistics
SALT_BOTTOM
| Metric | NWS-salinity |
|---|---|
| RMSE | 0.6971 |
| Bias | -0.3027 |
| MAE | 0.3791 |
| Corr | 0.8896 |
| Model mean | 34.4084 |
| Obs mean | 34.7111 |
View Full Statistics Report
################################################################################
SALT_BOTTOM Validation Statistics
################################################################################
Format: 1.1
Created: 2026-10-08 20:11:59
Area: NSe
Experiment: CMEMS/v01P
################################################################################
================================================================================
Period: 2010-2013 | Model: pyGETM
================================================================================
Analysed: 2026-10-08 20:37:04
--- NWS-salinity ---
RMSE: 0.6971
Bias: -0.3027
MAE: 0.3791
Correlation: 0.8896
N points: 1,265,376
Model mean: 34.4084
Obs mean: 34.7111
Model std: 1.3446
Obs std: 1.0655
Error distribution:
Min: -16.5796
5th pct: -1.3642
25th pct: -0.4245
Median: -0.1510
75th pct: -0.0028
95th pct: +0.1602
Max: +8.8929
Monthly breakdown:
Month RMSE Bias MAE Corr
--------------------------------------------
Jan 0.6379 -0.2419 0.3419 0.8927
Feb 0.6361 -0.2803 0.3705 0.8950
Mar 0.6865 -0.3041 0.3890 0.8826
Apr 0.6773 -0.3120 0.3933 0.8913
May 0.6346 -0.2988 0.3775 0.8943
Jun 0.6936 -0.3041 0.3820 0.8910
Jul 0.7101 -0.3066 0.3834 0.8920
Aug 0.7107 -0.3183 0.3826 0.9039
Sep 0.7717 -0.3353 0.3948 0.8947
Oct 0.7382 -0.3199 0.3808 0.8991
Nov 0.7186 -0.3003 0.3734 0.8872
Dec 0.7350 -0.3107 0.3800 0.8810
--------------------------------------------
All 0.6971 -0.3027 0.3791 0.8896
================================================================================
Period: 2010 | Model: pyGETM
================================================================================
Analysed: 2026-10-08 20:37:04
--- NWS-salinity ---
RMSE: 0.5176
Bias: -0.2093
MAE: 0.2886
Correlation: 0.9186
N points: 316,344
Model mean: 34.4712
Obs mean: 34.6805
Model std: 1.1958
Obs std: 1.0703
Error distribution:
Min: -13.2630
5th pct: -0.9487
25th pct: -0.3140
Median: -0.1237
75th pct: -0.0010
95th pct: +0.1504
Max: +6.7311
================================================================================
Period: 2011 | Model: pyGETM
================================================================================
Analysed: 2026-10-08 20:37:04
--- NWS-salinity ---
RMSE: 0.7867
Bias: -0.3657
MAE: 0.4295
Correlation: 0.8890
N points: 316,344
Model mean: 34.3441
Obs mean: 34.7098
Model std: 1.4523
Obs std: 1.0837
Error distribution:
Min: -14.9381
5th pct: -1.7103
25th pct: -0.4376
Median: -0.1632
75th pct: -0.0159
95th pct: +0.1437
Max: +8.4983
================================================================================
Period: 2012 | Model: pyGETM
================================================================================
Analysed: 2026-10-08 20:37:04
--- NWS-salinity ---
RMSE: 0.7846
Bias: -0.3346
MAE: 0.4079
Correlation: 0.8806
N points: 316,344
Model mean: 34.4468
Obs mean: 34.7814
Model std: 1.4133
Obs std: 1.0098
Error distribution:
Min: -16.5796
5th pct: -1.6229
25th pct: -0.4299
Median: -0.1581
75th pct: -0.0037
95th pct: +0.1572
Max: +8.8929
================================================================================
Period: 2013 | Model: pyGETM
================================================================================
Analysed: 2026-10-08 20:37:04
--- NWS-salinity ---
RMSE: 0.6646
Bias: -0.3012
MAE: 0.3905
Correlation: 0.8912
N points: 316,344
Model mean: 34.3717
Obs mean: 34.6729
Model std: 1.2980
Obs std: 1.0928
Error distribution:
Min: -12.5484
5th pct: -1.2125
25th pct: -0.4990
Median: -0.1618
75th pct: +0.0028
95th pct: +0.1810
Max: +7.1086
📄 Download Statistics Report (txt) · 📄 YAML
TEMP_BOTTOM
| Metric | NWS-bottomT |
|---|---|
| RMSE | 1.4277 |
| Bias | -0.5865 |
| MAE | 0.9517 |
| Corr | 0.9169 |
| Model mean | 8.5984 |
| Obs mean | 9.1850 |
View Full Statistics Report
################################################################################
TEMP_BOTTOM Validation Statistics
################################################################################
Format: 1.1
Created: 2026-10-08 20:11:12
Area: NSe
Experiment: CMEMS/v01P
################################################################################
================================================================================
Period: 2010-2013 | Model: pyGETM
================================================================================
Analysed: 2026-10-08 20:33:46
--- NWS-bottomT ---
RMSE: 1.4277
Bias: -0.5865
MAE: 0.9517
Correlation: 0.9169
N points: 1,265,376
Model mean: 8.5984
Obs mean: 9.1850
Model std: 3.1628
Obs std: 3.2439
Error distribution:
Min: -11.2410
5th pct: -3.1440
25th pct: -1.1726
Median: -0.2676
75th pct: +0.2105
95th pct: +0.9777
Max: +5.9366
Monthly breakdown:
Month RMSE Bias MAE Corr
--------------------------------------------
Jan 0.7159 +0.1706 0.5324 0.9130
Feb 0.5771 +0.1029 0.4297 0.9470
Mar 0.5847 +0.0848 0.3999 0.9417
Apr 0.6320 -0.1495 0.4562 0.9234
May 0.9545 -0.5222 0.7241 0.9085
Jun 1.5279 -0.9084 1.1396 0.8991
Jul 1.9929 -1.1814 1.4708 0.9034
Aug 2.2438 -1.3304 1.6514 0.9075
Sep 2.1359 -1.2724 1.5834 0.9075
Oct 1.8090 -1.0630 1.3449 0.9028
Nov 1.4044 -0.7317 1.0323 0.8766
Dec 0.9022 -0.2377 0.6558 0.8639
--------------------------------------------
All 1.4277 -0.5865 0.9517 0.9169
================================================================================
Period: 2010 | Model: pyGETM
================================================================================
Analysed: 2026-10-08 20:33:46
--- NWS-bottomT ---
RMSE: 1.4419
Bias: -0.4748
MAE: 0.9386
Correlation: 0.9092
N points: 316,344
Model mean: 8.4897
Obs mean: 8.9645
Model std: 3.0328
Obs std: 3.2670
Error distribution:
Min: -10.9919
5th pct: -3.1673
25th pct: -0.9650
Median: -0.1296
75th pct: +0.3225
95th pct: +1.1342
Max: +5.2094
================================================================================
Period: 2011 | Model: pyGETM
================================================================================
Analysed: 2026-10-08 20:33:46
--- NWS-bottomT ---
RMSE: 1.5486
Bias: -0.7525
MAE: 1.0344
Correlation: 0.9169
N points: 316,344
Model mean: 8.7259
Obs mean: 9.4784
Model std: 3.3399
Obs std: 3.2960
Error distribution:
Min: -11.2410
5th pct: -3.3827
25th pct: -1.3560
Median: -0.3896
75th pct: +0.1057
95th pct: +0.7945
Max: +4.6146
================================================================================
Period: 2012 | Model: pyGETM
================================================================================
Analysed: 2026-10-08 20:33:46
--- NWS-bottomT ---
RMSE: 1.2734
Bias: -0.5912
MAE: 0.8600
Correlation: 0.9279
N points: 316,344
Model mean: 8.9602
Obs mean: 9.5515
Model std: 2.9900
Obs std: 2.9447
Error distribution:
Min: -10.0477
5th pct: -2.7068
25th pct: -1.0837
Median: -0.3445
75th pct: +0.0937
95th pct: +0.7879
Max: +3.8610
================================================================================
Period: 2013 | Model: pyGETM
================================================================================
Analysed: 2026-10-08 20:33:46
--- NWS-bottomT ---
RMSE: 1.4333
Bias: -0.5276
MAE: 0.9739
Correlation: 0.9197
N points: 316,344
Model mean: 8.2179
Obs mean: 8.7455
Model std: 3.2277
Obs std: 3.3796
Error distribution:
Min: -10.1839
5th pct: -3.1710
25th pct: -1.1555
Median: -0.1833
75th pct: +0.2813
95th pct: +1.0903
Max: +5.9366
📄 Download Statistics Report (txt) · 📄 YAML
SALT_SURFACE
| Metric | CCI-SSS |
|---|---|
| RMSE | 3.3841 |
| Bias | -1.5321 |
| MAE | 1.7551 |
| Corr | 0.8908 |
| Model mean | 32.1779 |
| Obs mean | 33.7100 |
View Full Statistics Report
################################################################################
SALT_SURFACE Validation Statistics
################################################################################
Format: 1.1
Created: 2026-10-08 19:59:28
Area: NSe
Experiment: CMEMS/v01P
################################################################################
================================================================================
Period: 2010-2013 | Model: pyGETM
================================================================================
Analysed: 2026-10-08 19:59:28
--- CCI-SSS ---
RMSE: 3.3841
Bias: -1.5321
MAE: 1.7551
Correlation: 0.8908
N points: 40,069,386
Model mean: 32.1779
Obs mean: 33.7100
Model std: 5.1653
Obs std: 2.7759
Error distribution:
Min: -33.1818
5th pct: -7.9941
25th pct: -1.8900
Median: -0.3443
75th pct: +0.1062
95th pct: +0.5756
Max: +8.3389
Monthly breakdown:
Month RMSE Bias MAE Corr
--------------------------------------------
Jan 2.9294 -1.1043 1.4167 0.8749
Feb 2.8924 -1.1596 1.4029 0.8760
Mar 2.5985 -1.0663 1.3425 0.8909
Apr 2.6300 -1.1585 1.3917 0.9009
May 3.0378 -1.4094 1.6038 0.8997
Jun 3.3956 -1.6903 1.8942 0.9063
Jul 3.8389 -1.9587 2.1316 0.9025
Aug 4.4323 -2.3238 2.4582 0.8597
Sep 4.0134 -2.0149 2.1816 0.8659
Oct 3.6094 -1.6231 1.8560 0.8825
Nov 3.4560 -1.4704 1.7454 0.8823
Dec 3.2158 -1.3793 1.6112 0.8904
--------------------------------------------
All 3.3841 -1.5321 1.7551 0.8908
================================================================================
Period: 2010 | Model: pyGETM
================================================================================
Analysed: 2026-10-08 19:59:28
--- CCI-SSS ---
RMSE: 3.1478
Bias: -1.1878
MAE: 1.4997
Correlation: 0.9004
N points: 10,010,490
Model mean: 32.5204
Obs mean: 33.7082
Model std: 5.0644
Obs std: 2.7686
Error distribution:
Min: -33.1818
5th pct: -7.7381
25th pct: -1.2036
Median: -0.2130
75th pct: +0.2035
95th pct: +0.7081
Max: +8.3389
================================================================================
Period: 2011 | Model: pyGETM
================================================================================
Analysed: 2026-10-08 19:59:28
--- CCI-SSS ---
RMSE: 3.3950
Bias: -1.5705
MAE: 1.7485
Correlation: 0.8920
N points: 10,010,490
Model mean: 32.1788
Obs mean: 33.7492
Model std: 5.1754
Obs std: 2.7671
Error distribution:
Min: -32.7635
5th pct: -7.9544
25th pct: -1.7836
Median: -0.3226
75th pct: +0.0877
95th pct: +0.4930
Max: +5.2453
================================================================================
Period: 2012 | Model: pyGETM
================================================================================
Analysed: 2026-10-08 19:59:28
--- CCI-SSS ---
RMSE: 3.6834
Bias: -1.8413
MAE: 2.0314
Correlation: 0.8862
N points: 10,037,916
Model mean: 31.8626
Obs mean: 33.7039
Model std: 5.3674
Obs std: 2.7840
Error distribution:
Min: -32.0248
5th pct: -8.6704
25th pct: -2.6072
Median: -0.4285
75th pct: +0.0601
95th pct: +0.5256
Max: +4.6950
================================================================================
Period: 2013 | Model: pyGETM
================================================================================
Analysed: 2026-10-08 19:59:28
--- CCI-SSS ---
RMSE: 3.2866
Bias: -1.5279
MAE: 1.7399
Correlation: 0.8844
N points: 10,010,490
Model mean: 32.1507
Obs mean: 33.6786
Model std: 5.0254
Obs std: 2.7833
Error distribution:
Min: -31.7394
5th pct: -7.6014
25th pct: -1.8144
Median: -0.3704
75th pct: +0.0917
95th pct: +0.5675
Max: +7.2300
📄 Download Statistics Report (txt) · 📄 YAML
TEMP_SURFACE
| Metric | OSTIA | CCI-SST | OISST |
|---|---|---|---|
| RMSE | 1.0235 | 1.0134 | 1.0914 |
| Bias | +0.0815 | +0.1903 | +0.1890 |
| MAE | 0.7705 | 0.7624 | 0.8373 |
| Corr | 0.9080 | 0.9145 | 0.9076 |
| Model mean | 10.7206 | 10.7167 | 10.7219 |
| Obs mean | 10.6391 | 10.5283 | 10.5329 |
View Full Statistics Report
################################################################################
TEMP_SURFACE Validation Statistics
################################################################################
Format: 1.1
Created: 2026-10-07 10:44:08
Author: K.B. & R.T.
Project: OceanICU
Institute: BB
Area: NSe
Experiment: CMEMS/v01P
################################################################################
================================================================================
Period: 2010-2013 | Model: pyGETM
================================================================================
Analysed: 2026-10-08 19:41:10
--- OSTIA ---
RMSE: 1.0235
Bias: +0.0815
MAE: 0.7705
Correlation: 0.9080
N points: 42,772,236
Model mean: 10.7206
Obs mean: 10.6391
Model std: 4.4644
Obs std: 3.9865
Error distribution:
Min: -9.0331
5th pct: -1.2623
25th pct: -0.3594
Median: +0.1129
75th pct: +0.5437
95th pct: +1.2877
Max: +8.4756
Monthly breakdown:
Month RMSE Bias MAE Corr
--------------------------------------------
Jan 1.0676 -0.3571 0.7941 0.9078
Feb 0.9721 -0.3978 0.7014 0.9304
Mar 0.8075 -0.3347 0.5734 0.9441
Apr 0.6502 -0.1716 0.4777 0.9466
May 0.8469 +0.2974 0.6264 0.9114
Jun 1.3200 +0.9144 1.0909 0.8532
Jul 1.4775 +1.0664 1.2364 0.8689
Aug 1.2488 +0.8768 1.0431 0.8746
Sep 0.8323 +0.3127 0.6417 0.9174
Oct 0.7055 -0.1143 0.5421 0.9330
Nov 0.8665 -0.4727 0.6667 0.9257
Dec 1.1138 -0.6757 0.8389 0.9197
--------------------------------------------
All 1.0235 +0.0815 0.7705 0.9080
--- CCI-SST ---
RMSE: 1.0134
Bias: +0.1903
MAE: 0.7624
Correlation: 0.9145
N points: 43,019,271
Model mean: 10.7167
Obs mean: 10.5283
Model std: 4.4755
Obs std: 4.0016
Error distribution:
Min: -8.7652
5th pct: -1.1065
25th pct: -0.2423
Median: +0.2193
75th pct: +0.6373
95th pct: +1.3719
Max: +8.5508
Monthly breakdown:
Month RMSE Bias MAE Corr
--------------------------------------------
Jan 1.0182 -0.2280 0.7534 0.9118
Feb 0.9300 -0.2840 0.6624 0.9324
Mar 0.7660 -0.2487 0.5337 0.9457
Apr 0.6117 -0.0923 0.4460 0.9508
May 0.8568 +0.3977 0.6436 0.9194
Jun 1.3698 +1.0155 1.1521 0.8641
Jul 1.5357 +1.1877 1.3194 0.8831
Aug 1.2876 +0.9562 1.0932 0.8833
Sep 0.8482 +0.3962 0.6646 0.9220
Oct 0.6752 -0.0101 0.5187 0.9374
Nov 0.7706 -0.3157 0.5877 0.9313
Dec 1.0163 -0.5255 0.7588 0.9232
--------------------------------------------
All 1.0134 +0.1903 0.7624 0.9145
--- OISST ---
RMSE: 1.0914
Bias: +0.1890
MAE: 0.8373
Correlation: 0.9076
N points: 39,162,105
Model mean: 10.7219
Obs mean: 10.5329
Model std: 4.4110
Obs std: 3.8000
Error distribution:
Min: -9.0298
5th pct: -1.1334
25th pct: -0.2513
Median: +0.2230
75th pct: +0.6591
95th pct: +1.3733
Max: +8.4328
Monthly breakdown:
Month RMSE Bias MAE Corr
--------------------------------------------
Jan 1.0989 -0.3326 0.8403 0.8938
Feb 0.9931 -0.5082 0.7390 0.9324
Mar 0.9174 -0.5707 0.7068 0.9440
Apr 0.6731 -0.2686 0.5166 0.9478
May 0.9127 +0.4396 0.7083 0.9070
Jun 1.5056 +1.1939 1.2939 0.8520
Jul 1.7306 +1.4153 1.5124 0.8630
Aug 1.3201 +1.0098 1.1302 0.8731
Sep 0.8922 +0.4790 0.7028 0.9191
Oct 0.6912 +0.1202 0.5404 0.9364
Nov 0.7520 -0.2480 0.5734 0.9279
Dec 1.0429 -0.5105 0.7666 0.9108
--------------------------------------------
All 1.0914 +0.1890 0.8373 0.9076
================================================================================
Period: 2010 | Model: pyGETM
================================================================================
Analysed: 2026-10-08 19:41:10
--- OSTIA ---
RMSE: 1.0286
Bias: +0.2294
MAE: 0.7525
Correlation: 0.9122
N points: 10,685,740
Model mean: 10.6620
Obs mean: 10.4326
Model std: 4.5449
Obs std: 4.1980
Error distribution:
Min: -9.0331
5th pct: -1.2545
25th pct: -0.2750
Median: +0.2026
75th pct: +0.6317
95th pct: +1.4268
Max: +8.3935
--- CCI-SST ---
RMSE: 1.0467
Bias: +0.3323
MAE: 0.7739
Correlation: 0.9161
N points: 10,744,418
Model mean: 10.6573
Obs mean: 10.3291
Model std: 4.5576
Obs std: 4.2313
Error distribution:
Min: -8.7652
5th pct: -1.1274
25th pct: -0.1694
Median: +0.3014
75th pct: +0.7264
95th pct: +1.5511
Max: +8.5508
--- OISST ---
RMSE: 1.0995
Bias: +0.2638
MAE: 0.8385
Correlation: 0.9116
N points: 9,783,825
Model mean: 10.6758
Obs mean: 10.4120
Model std: 4.4778
Obs std: 3.9746
Error distribution:
Min: -9.0298
5th pct: -1.2742
25th pct: -0.2568
Median: +0.2273
75th pct: +0.6665
95th pct: +1.4132
Max: +7.8931
================================================================================
Period: 2011 | Model: pyGETM
================================================================================
Analysed: 2026-10-08 19:41:10
--- OSTIA ---
RMSE: 0.9444
Bias: +0.0363
MAE: 0.7180
Correlation: 0.9144
N points: 10,685,740
Model mean: 10.8613
Obs mean: 10.8250
Model std: 4.3834
Obs std: 3.8866
Error distribution:
Min: -6.6380
5th pct: -1.2575
25th pct: -0.4146
Median: +0.0440
75th pct: +0.4477
95th pct: +1.1213
Max: +7.6276
--- CCI-SST ---
RMSE: 0.9577
Bias: +0.1509
MAE: 0.7297
Correlation: 0.9172
N points: 10,747,789
Model mean: 10.8577
Obs mean: 10.7085
Model std: 4.3953
Obs std: 3.8794
Error distribution:
Min: -7.0476
5th pct: -1.1272
25th pct: -0.2917
Median: +0.1610
75th pct: +0.5576
95th pct: +1.2350
Max: +7.2308
--- OISST ---
RMSE: 1.0557
Bias: +0.1432
MAE: 0.8225
Correlation: 0.9070
N points: 9,783,825
Model mean: 10.8537
Obs mean: 10.7105
Model std: 4.3220
Obs std: 3.6444
Error distribution:
Min: -7.1233
5th pct: -1.1736
25th pct: -0.3208
Median: +0.1529
75th pct: +0.5820
95th pct: +1.2248
Max: +6.2930
================================================================================
Period: 2012 | Model: pyGETM
================================================================================
Analysed: 2026-10-08 19:41:10
--- OSTIA ---
RMSE: 0.9663
Bias: +0.0211
MAE: 0.7419
Correlation: 0.9102
N points: 10,715,016
Model mean: 10.7707
Obs mean: 10.7496
Model std: 4.0994
Obs std: 3.6240
Error distribution:
Min: -7.4930
5th pct: -1.2869
25th pct: -0.4614
Median: +0.0126
75th pct: +0.4415
95th pct: +1.1355
Max: +8.4756
--- CCI-SST ---
RMSE: 0.9601
Bias: +0.1271
MAE: 0.7325
Correlation: 0.9157
N points: 10,778,210
Model mean: 10.7668
Obs mean: 10.6407
Model std: 4.1087
Obs std: 3.6238
Error distribution:
Min: -7.0195
5th pct: -1.1264
25th pct: -0.3462
Median: +0.1260
75th pct: +0.5462
95th pct: +1.2260
Max: +6.2578
--- OISST ---
RMSE: 0.9981
Bias: +0.1452
MAE: 0.7715
Correlation: 0.9127
N points: 9,810,630
Model mean: 10.7674
Obs mean: 10.6222
Model std: 4.0506
Obs std: 3.5272
Error distribution:
Min: -6.6172
5th pct: -1.1106
25th pct: -0.3385
Median: +0.1320
75th pct: +0.5521
95th pct: +1.2272
Max: +6.8678
================================================================================
Period: 2013 | Model: pyGETM
================================================================================
Analysed: 2026-10-08 19:41:10
--- OSTIA ---
RMSE: 1.1433
Bias: +0.0394
MAE: 0.8696
Correlation: 0.8951
N points: 10,685,740
Model mean: 10.5885
Obs mean: 10.5491
Model std: 4.7974
Obs std: 4.1973
Error distribution:
Min: -8.0403
5th pct: -1.4568
25th pct: -0.4670
Median: +0.0373
75th pct: +0.4936
95th pct: +1.3031
Max: +8.4393
--- CCI-SST ---
RMSE: 1.0834
Bias: +0.1512
MAE: 0.8137
Correlation: 0.9084
N points: 10,748,854
Model mean: 10.5848
Obs mean: 10.4344
Model std: 4.8075
Obs std: 4.2285
Error distribution:
Min: -7.6052
5th pct: -1.2384
25th pct: -0.3228
Median: +0.1521
75th pct: +0.5775
95th pct: +1.3387
Max: +7.0844
--- OISST ---
RMSE: 1.2022
Bias: +0.2040
MAE: 0.9170
Correlation: 0.9010
N points: 9,783,825
Model mean: 10.5906
Obs mean: 10.3866
Model std: 4.7602
Obs std: 4.0213
Error distribution:
Min: -7.9030
5th pct: -1.2197
25th pct: -0.2866
Median: +0.2048
75th pct: +0.6435
95th pct: +1.4210
Max: +8.4328
📄 Download Statistics Report (txt) · 📄 YAML
Plots
Full Period
SALT_SURFACE
Salinity (surface) — monthly by year
Salinity (surface) — monthly statistics
CCI-SSS
Salinity (surface) — CCI-SSS comparison
Salinity (surface) — CCI-SSS monthly maps
Salinity (surface) — CCI-SSS monthly taylor
Salinity (surface) — CCI-SSS pdf annual
Salinity (surface) — CCI-SSS pdf monthly
Salinity (surface) — CCI-SSS spatial stats
TEMP_SURFACE
Temperature (surface) — monthly by year CCI-SST
Temperature (surface) — monthly by year OISST
Temperature (surface) — monthly by year OSTIA
Temperature (surface) — monthly statistics
CCI-SST
Temperature (surface) — CCI-SST comparison
Temperature (surface) — CCI-SST monthly maps
Temperature (surface) — CCI-SST monthly taylor
Temperature (surface) — CCI-SST pdf annual
Temperature (surface) — CCI-SST pdf monthly
Temperature (surface) — CCI-SST spatial stats
OISST
Temperature (surface) — OISST comparison
Temperature (surface) — OISST monthly maps
Temperature (surface) — OISST monthly taylor
Temperature (surface) — OISST pdf annual
Temperature (surface) — OISST pdf monthly
Temperature (surface) — OISST spatial stats
OSTIA
Temperature (surface) — OSTIA comparison
Temperature (surface) — OSTIA monthly maps
Temperature (surface) — OSTIA monthly taylor
Temperature (surface) — OSTIA pdf annual
Temperature (surface) — OSTIA pdf monthly
Temperature (surface) — OSTIA spatial stats
SALT_BOTTOM
Salinity (bottom) — monthly by year
Salinity (bottom) — monthly statistics
NWS-salinity
Salinity (bottom) — NWS-salinity comparison
Salinity (bottom) — NWS-salinity monthly maps
Salinity (bottom) — NWS-salinity monthly taylor
Salinity (bottom) — NWS-salinity pdf annual
Salinity (bottom) — NWS-salinity pdf monthly
Salinity (bottom) — NWS-salinity spatial stats
TEMP_BOTTOM
Temperature (bottom) — monthly by year
Temperature (bottom) — monthly statistics
NWS-bottomT
Temperature (bottom) — NWS-bottomT comparison
Temperature (bottom) — NWS-bottomT monthly maps
Temperature (bottom) — NWS-bottomT monthly taylor
Temperature (bottom) — NWS-bottomT pdf annual
Temperature (bottom) — NWS-bottomT pdf monthly
Temperature (bottom) — NWS-bottomT spatial stats
Taylor diagram
Taylor diagram
Gridded 3D Validation
Statistics
SALT_3D
| Metric | WOA |
|---|---|
| Bias | + |
View Full Statistics Report
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SALT Validation Statistics
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Format: 1.1
Created: 2026-10-07 10:45:52
Author: K.B. & R.T.
Project: OceanICU
Institute: BB
Area: NSe
Experiment: CMEMS/v01P
################################################################################
================================================================================
Period: 2010-2013 | Model: pyGETM
================================================================================
Analysed: 2026-10-08 21:06:18
--- WOA ---
RMSE: nan
Bias: +nan
MAE: nan
Correlation: nan
N points: 0
Model mean: nan
Obs mean: nan
Model std: nan
Obs std: nan
Error distribution:
Min: +nan
5th pct: +nan
25th pct: +nan
Median: +nan
75th pct: +nan
95th pct: +nan
Max: +nan
📄 Download Statistics Report (txt) · 📄 YAML
TEMP_3D
| Metric | WOA |
|---|---|
| Bias | + |
View Full Statistics Report
################################################################################
TEMP Validation Statistics
################################################################################
Format: 1.1
Created: 2026-10-07 10:45:05
Author: K.B. & R.T.
Project: OceanICU
Institute: BB
Area: NSe
Experiment: CMEMS/v01P
################################################################################
================================================================================
Period: 2010-2013 | Model: pyGETM
================================================================================
Analysed: 2026-10-08 21:05:20
--- WOA ---
RMSE: nan
Bias: +nan
MAE: nan
Correlation: nan
N points: 0
Model mean: nan
Obs mean: nan
Model std: nan
Obs std: nan
Error distribution:
Min: +nan
5th pct: +nan
25th pct: +nan
Median: +nan
75th pct: +nan
95th pct: +nan
Max: +nan
📄 Download Statistics Report (txt) · 📄 YAML
Plots
Full Period
Salinity at 5 m depth — model vs observations comparison
Salinity at 5 m depth — spatial distribution of statistics
Salinity at 50 m depth — model vs observations comparison
Salinity at 50 m depth — spatial distribution of statistics
Salinity at 100 m depth — model vs observations comparison
Salinity at 100 m depth — spatial distribution of statistics
Salinity at 200 m depth — model vs observations comparison
Salinity at 200 m depth — spatial distribution of statistics
Salinity at 500 m depth — model vs observations comparison
Salinity at 500 m depth — spatial distribution of statistics
Taylor diagram
Temperature at 5 m depth — model vs observations comparison
Temperature at 5 m depth — spatial distribution of statistics
Temperature at 50 m depth — model vs observations comparison
Temperature at 50 m depth — spatial distribution of statistics
Temperature at 100 m depth — model vs observations comparison
Temperature at 100 m depth — spatial distribution of statistics
Temperature at 200 m depth — model vs observations comparison
Temperature at 200 m depth — spatial distribution of statistics
Temperature at 500 m depth — model vs observations comparison
Temperature at 500 m depth — spatial distribution of statistics
ICES Point Profiles
Statistics
PSAL
| Metric | ICES point observations |
|---|---|
| RMSE | 1.9617 |
| Bias | -0.7278 |
| MAE | 0.8141 |
| Corr | 0.9075 |
| Model mean | 33.6312 |
| Obs mean | 34.3591 |
View Full Statistics Report
################################################################################
PSAL Profile Validation Statistics
################################################################################
Format: 1.1
Created: 2026-10-08 21:17:53
Area: NSe
Experiment: CMEMS/v01P
################################################################################
================================================================================
Period: 2010-2013 | Model: pyGETM
================================================================================
Analysed: 2026-10-08 21:17:53
--- ICES point observations ---
RMSE: 1.9617
Bias: -0.7278
MAE: 0.8141
Correlation: 0.9075
N points: 846,438
N profiles: 10,397
Model mean: 33.6312
Obs mean: 34.3591
Model std: 3.9063
Obs std: 2.7537
Error distribution:
Min: -24.5303
5th pct: -4.4140
25th pct: -0.5402
Median: -0.1486
75th pct: -0.0040
95th pct: +0.1928
Max: +16.2859
Statistics by depth:
Depth N Bias RMSE Corr
------------------------------------------------------
0-10m 101,274 -2.0683 3.6791 0.9160
10-25m 149,553 -1.6274 3.1850 0.8914
25-50m 187,472 -0.6035 1.3184 0.7602
50-100m 206,281 -0.1984 0.4352 0.7116
100-200m 121,978 -0.0672 0.1804 0.5739
200-500m 76,101 -0.0121 0.0808 0.4401
500-1000m 3,779 -0.0013 0.0356 0.6769
📄 Download Statistics Report (txt) · 📄 YAML
TEMP
| Metric | ICES point observations |
|---|---|
| RMSE | 1.4013 |
| Bias | -0.4145 |
| MAE | 0.9775 |
| Corr | 0.8979 |
| Model mean | 8.2113 |
| Obs mean | 8.6258 |
View Full Statistics Report
################################################################################
TEMP Profile Validation Statistics
################################################################################
Format: 1.1
Created: 2026-10-08 21:17:16
Area: NSe
Experiment: CMEMS/v01P
################################################################################
================================================================================
Period: 2010-2013 | Model: pyGETM
================================================================================
Analysed: 2026-10-08 21:17:16
--- ICES point observations ---
RMSE: 1.4013
Bias: -0.4145
MAE: 0.9775
Correlation: 0.8979
N points: 846,153
N profiles: 9,332
Model mean: 8.2113
Obs mean: 8.6258
Model std: 2.9599
Obs std: 2.9645
Error distribution:
Min: -9.8956
5th pct: -2.7486
25th pct: -0.9931
Median: -0.3058
75th pct: +0.3135
95th pct: +1.4638
Max: +10.8982
Statistics by depth:
Depth N Bias RMSE Corr
------------------------------------------------------
0-10m 100,725 +0.2806 1.3591 0.9656
10-25m 149,723 -0.3741 1.5905 0.9221
25-50m 187,623 -0.9240 1.7805 0.8232
50-100m 206,243 -0.6418 1.3372 0.7382
100-200m 121,959 -0.2187 0.8823 0.5867
200-500m 76,101 +0.0875 0.6843 0.5839
500-1000m 3,779 +0.7384 0.8289 0.0573
📄 Download Statistics Report (txt) · 📄 YAML
Plots
Practical Salinity — statistics vs depth profile
Temperature — statistics vs depth profile
Argo Float Profiles
Plots
Na Argo Overview
Cruise CTD Profiles
Plots
Year 2010
Show 1 plot
Cruise CTD profile overview (North Sea)
Year 2011
Show 1 plot
Cruise CTD profile overview (North Sea)
Year 2012
Show 1 plot
Cruise CTD profile overview (North Sea)
Year 2013
Show 1 plot
Cruise CTD profile overview (North Sea)
Observations
ARGO Observations — 2010-2013
ARGO Station Map
ARGO Observation Density
CRUISE Observations — 2010-2013
CRUISE Station Map
CRUISE Observation Density
ICES Observations — 2010-2013
ICES Station Map
ICES Observation Density
ICES PSAL Hovmoller
ICES TEMP Hovmoller
PLATFORM Observations — 2010-2013
PLATFORM Station Map
PLATFORM Observation Density
Methodology
Horizontal Validation
Model surface fields compared against gridded satellite products and in-situ observations.
Statistics: RMSE, Bias, MAE, Pearson correlation.
Spatial statistics show the error distribution across the domain.
Gridded 3D Validation
Model vertical profiles compared against gridded 3D climatologies.
Statistics: RMSE and Bias at each depth level.
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).
Cruise CTD Profiles
Shipborne CTD cast profiles from research cruises via the EMODnet Chemistry ERDDAP service.