Horizontal Validation results comparing model output against observations.
Experiment Information
Area: AMM7 Experiment: CMEMS_prof Validation Type: Horizontal Validation Variables: SALT_SURFACE, TEMP_SURFACE
Overview
| Metric | SALT_SURFACE / CCI-SSS | TEMP_SURFACE / OSTIA | TEMP_SURFACE / CCI-SST |
|---|---|---|---|
| RMSE | 0.8866 | 1.0272 | 1.0031 |
| Bias | 0.0802 | 0.4192 | 0.4755 |
| Corr | 0.8318 | 0.9479 | 0.9550 |
| N points | 170,735,828 | 132,856,606 | 172,965,608 |
Annual Statistics Trends
Salinity (surface) — annual statistics timeseries (RMSE, bias, correlation)
Temperature (surface) — annual statistics timeseries (RMSE, bias, correlation)
Horizontal Validation
Statistics
SALT_SURFACE
| Metric | CCI-SSS |
|---|---|
| RMSE | 0.8866 |
| Bias | +0.0802 |
| MAE | 0.4354 |
| Corr | 0.8318 |
| Model mean | 34.9782 |
| Obs mean | 34.9024 |
View Full Statistics Report
################################################################################
SALT_SURFACE Validation Statistics
################################################################################
Format: 1.1
Created: 2026-05-28 10:10:48
Author: RT
Project: OceanICU
Institute: BB
Area: AMM7
Experiment: CMEMS_prof
################################################################################
================================================================================
Period: 2016-2023 | Model: pyGETM
================================================================================
Analysed: 2026-05-28 10:10:48
--- CCI-SSS ---
RMSE: 0.8866
Bias: +0.0802
MAE: 0.4354
Correlation: 0.8318
N points: 170,735,828
Model mean: 34.9782
Obs mean: 34.9024
Model std: 1.5983
Obs std: 1.1730
Error distribution:
Min: -32.5268
5th pct: -0.9079
25th pct: -0.0452
Median: +0.1136
75th pct: +0.3249
95th pct: +1.0717
Max: +12.1194
Monthly breakdown:
Month RMSE Bias MAE Corr
--------------------------------------------
Jan 0.8112 +0.0827 0.3839 0.8069
Feb 0.8535 +0.0700 0.3771 0.7989
Mar 0.9450 +0.0863 0.4155 0.7862
Apr 0.9278 +0.0960 0.4410 0.8093
May 0.8897 +0.0859 0.4387 0.8607
Jun 0.9593 +0.0753 0.4681 0.8666
Jul 0.9033 +0.0406 0.4585 0.8695
Aug 0.9457 +0.0509 0.4830 0.8482
Sep 0.9395 +0.0624 0.4751 0.8444
Oct 0.8564 +0.0994 0.4451 0.8262
Nov 0.8517 +0.1303 0.4371 0.8054
Dec 0.8201 +0.0830 0.3991 0.8226
--------------------------------------------
All 0.8866 +0.0802 0.4354 0.8318
================================================================================
Period: 2016 | Model: pyGETM
================================================================================
Analysed: 2026-05-28 10:10:48
--- CCI-SSS ---
RMSE: 0.8573
Bias: +0.1151
MAE: 0.4303
Correlation: 0.8510
N points: 24,460,506
Model mean: 34.9999
Obs mean: 34.8875
Model std: 1.6039
Obs std: 1.1664
Error distribution:
Min: -26.0535
5th pct: -0.7276
25th pct: -0.0254
Median: +0.1326
75th pct: +0.3537
95th pct: +1.0593
Max: +12.1194
================================================================================
Period: 2017 | Model: pyGETM
================================================================================
Analysed: 2026-05-28 10:10:48
--- CCI-SSS ---
RMSE: 0.8426
Bias: +0.0559
MAE: 0.3956
Correlation: 0.8414
N points: 24,395,369
Model mean: 34.9800
Obs mean: 34.9268
Model std: 1.5603
Obs std: 1.1686
Error distribution:
Min: -28.1669
5th pct: -0.8372
25th pct: -0.0640
Median: +0.0754
75th pct: +0.2645
95th pct: +1.0164
Max: +9.1506
================================================================================
Period: 2018 | Model: pyGETM
================================================================================
Analysed: 2026-05-28 10:10:48
--- CCI-SSS ---
RMSE: 0.8267
Bias: +0.0868
MAE: 0.3953
Correlation: 0.8333
N points: 24,338,489
Model mean: 35.0231
Obs mean: 34.9407
Model std: 1.4832
Obs std: 1.1622
Error distribution:
Min: -29.8683
5th pct: -0.7027
25th pct: -0.0497
Median: +0.1082
75th pct: +0.3062
95th pct: +0.9578
Max: +12.0495
================================================================================
Period: 2019 | Model: pyGETM
================================================================================
Analysed: 2026-05-28 10:10:48
--- CCI-SSS ---
RMSE: 0.8217
Bias: +0.1100
MAE: 0.4197
Correlation: 0.8286
N points: 24,377,458
Model mean: 35.0064
Obs mean: 34.8998
Model std: 1.4717
Obs std: 1.1549
Error distribution:
Min: -29.5824
5th pct: -0.7546
25th pct: -0.0424
Median: +0.1198
75th pct: +0.3381
95th pct: +1.0921
Max: +9.2627
================================================================================
Period: 2020 | Model: pyGETM
================================================================================
Analysed: 2026-05-28 10:10:48
--- CCI-SSS ---
RMSE: 0.8968
Bias: +0.1029
MAE: 0.4377
Correlation: 0.8103
N points: 24,422,636
Model mean: 34.9837
Obs mean: 34.8879
Model std: 1.5705
Obs std: 1.1916
Error distribution:
Min: -29.1297
5th pct: -0.8224
25th pct: -0.0397
Median: +0.1052
75th pct: +0.3198
95th pct: +1.1681
Max: +8.9942
================================================================================
Period: 2021 | Model: pyGETM
================================================================================
Analysed: 2026-05-28 10:10:48
--- CCI-SSS ---
RMSE: 0.9505
Bias: +0.0201
MAE: 0.4721
Correlation: 0.8403
N points: 24,370,685
Model mean: 34.8953
Obs mean: 34.8807
Model std: 1.7522
Obs std: 1.2061
Error distribution:
Min: -28.1046
5th pct: -1.3029
25th pct: -0.0504
Median: +0.1216
75th pct: +0.3274
95th pct: +1.0076
Max: +11.7662
================================================================================
Period: 2022 | Model: pyGETM
================================================================================
Analysed: 2026-05-28 10:10:48
--- CCI-SSS ---
RMSE: 1.0083
Bias: +0.0705
MAE: 0.4971
Correlation: 0.8180
N points: 24,370,685
Model mean: 34.9590
Obs mean: 34.8939
Model std: 1.7211
Obs std: 1.1594
Error distribution:
Min: -32.5268
5th pct: -1.1393
25th pct: -0.0446
Median: +0.1252
75th pct: +0.3552
95th pct: +1.1837
Max: +10.7502
📄 Download Statistics Report (txt) · 📄 YAML
TEMP_SURFACE
| Metric | OSTIA | CCI-SST |
|---|---|---|
| RMSE | 1.0272 | 1.0031 |
| Bias | +0.4192 | +0.4755 |
| MAE | 0.8017 | 0.7851 |
| Corr | 0.9479 | 0.9550 |
| Model mean | 12.2398 | 12.4943 |
| Obs mean | 11.8206 | 12.0189 |
View Full Statistics Report
################################################################################
TEMP_SURFACE Validation Statistics
################################################################################
Format: 1.1
Created: 2026-05-28 09:43:10
Author: RT
Project: OceanICU
Institute: BB
Area: AMM7
Experiment: CMEMS_prof
################################################################################
================================================================================
Period: 2016-2023 | Model: pyGETM
================================================================================
Analysed: 2026-05-28 09:43:10
--- OSTIA ---
RMSE: 1.0272
Bias: +0.4192
MAE: 0.8017
Correlation: 0.9479
N points: 132,856,606
Model mean: 12.2398
Obs mean: 11.8206
Model std: 3.6878
Obs std: 3.7859
Error distribution:
Min: -12.5796
5th pct: -1.1147
25th pct: -0.0900
Median: +0.4479
75th pct: +0.9583
95th pct: +1.8836
Max: +9.9159
Monthly breakdown:
Month RMSE Bias MAE Corr
--------------------------------------------
Jan 0.9764 +0.3082 0.7456 0.9387
Feb 0.9233 +0.2761 0.6858 0.9479
Mar 0.8848 +0.2931 0.6505 0.9526
Apr 0.8361 +0.3726 0.6401 0.9615
May 0.9182 +0.5209 0.7384 0.9623
Jun 1.2008 +0.6604 0.9741 0.9433
Jul 1.3202 +0.6374 1.0694 0.9338
Aug 1.2043 +0.4679 0.9562 0.9392
Sep 1.0576 +0.3174 0.8241 0.9537
Oct 0.9766 +0.3090 0.7557 0.9569
Nov 1.0152 +0.4090 0.7741 0.9448
Dec 1.0395 +0.4489 0.7966 0.9357
--------------------------------------------
All 1.0272 +0.4192 0.8017 0.9479
--- CCI-SST ---
RMSE: 1.0031
Bias: +0.4755
MAE: 0.7851
Correlation: 0.9550
N points: 172,965,608
Model mean: 12.4943
Obs mean: 12.0189
Model std: 3.6535
Obs std: 3.7251
Error distribution:
Min: -12.9171
5th pct: -0.9264
25th pct: -0.0254
Median: +0.4851
75th pct: +0.9926
95th pct: +1.8553
Max: +9.4268
Monthly breakdown:
Month RMSE Bias MAE Corr
--------------------------------------------
Jan 0.9380 +0.3532 0.7133 0.9489
Feb 0.8946 +0.3490 0.6682 0.9564
Mar 0.8763 +0.3798 0.6520 0.9593
Apr 0.8495 +0.4423 0.6575 0.9654
May 0.9265 +0.5796 0.7471 0.9657
Jun 1.1568 +0.6971 0.9405 0.9498
Jul 1.2544 +0.6703 1.0156 0.9427
Aug 1.1670 +0.5356 0.9287 0.9479
Sep 1.0264 +0.3866 0.8008 0.9600
Oct 0.9634 +0.3649 0.7421 0.9619
Nov 0.9957 +0.4422 0.7592 0.9514
Dec 1.0222 +0.4958 0.7861 0.9448
--------------------------------------------
All 1.0031 +0.4755 0.7851 0.9550
================================================================================
Period: 2016 | Model: pyGETM
================================================================================
Analysed: 2026-05-28 09:43:10
--- OSTIA ---
RMSE: 0.9711
Bias: +0.2519
MAE: 0.7584
Correlation: 0.9475
N points: 19,016,628
Model mean: 12.1255
Obs mean: 11.8735
Model std: 3.7611
Obs std: 3.7392
Error distribution:
Min: -10.6034
5th pct: -1.2672
25th pct: -0.2575
Median: +0.2846
75th pct: +0.8119
95th pct: +1.6858
Max: +6.4671
--- CCI-SST ---
RMSE: 0.9101
Bias: +0.2927
MAE: 0.7083
Correlation: 0.9575
N points: 24,757,704
Model mean: 12.3440
Obs mean: 12.0513
Model std: 3.7325
Obs std: 3.7266
Error distribution:
Min: -11.0251
5th pct: -1.0776
25th pct: -0.1841
Median: +0.3134
75th pct: +0.8145
95th pct: +1.5956
Max: +7.3013
================================================================================
Period: 2017 | Model: pyGETM
================================================================================
Analysed: 2026-05-28 09:43:10
--- OSTIA ---
RMSE: 0.9844
Bias: +0.3971
MAE: 0.7712
Correlation: 0.9490
N points: 18,964,670
Model mean: 12.2945
Obs mean: 11.8974
Model std: 3.5212
Obs std: 3.6558
Error distribution:
Min: -11.1250
5th pct: -1.0841
25th pct: -0.0903
Median: +0.4354
75th pct: +0.9203
95th pct: +1.8100
Max: +9.0303
--- CCI-SST ---
RMSE: 0.9464
Bias: +0.4140
MAE: 0.7441
Correlation: 0.9569
N points: 24,690,059
Model mean: 12.5403
Obs mean: 12.1263
Model std: 3.5342
Obs std: 3.6290
Error distribution:
Min: -11.0290
5th pct: -0.9622
25th pct: -0.0733
Median: +0.4392
75th pct: +0.9222
95th pct: +1.7439
Max: +7.1730
================================================================================
Period: 2018 | Model: pyGETM
================================================================================
Analysed: 2026-05-28 09:43:10
--- OSTIA ---
RMSE: 1.1059
Bias: +0.4927
MAE: 0.8620
Correlation: 0.9444
N points: 18,964,670
Model mean: 12.1366
Obs mean: 11.6439
Model std: 3.8741
Obs std: 3.9844
Error distribution:
Min: -10.3536
5th pct: -1.1036
25th pct: -0.0593
Median: +0.5111
75th pct: +1.0665
95th pct: +2.0356
Max: +9.1027
--- CCI-SST ---
RMSE: 1.0858
Bias: +0.5573
MAE: 0.8480
Correlation: 0.9518
N points: 24,690,050
Model mean: 12.3614
Obs mean: 11.8041
Model std: 3.7917
Obs std: 3.8476
Error distribution:
Min: -10.1898
5th pct: -0.8738
25th pct: +0.0181
Median: +0.5560
75th pct: +1.1075
95th pct: +2.0240
Max: +8.3808
================================================================================
Period: 2019 | Model: pyGETM
================================================================================
Analysed: 2026-05-28 09:43:10
--- OSTIA ---
RMSE: 1.0372
Bias: +0.4775
MAE: 0.8162
Correlation: 0.9480
N points: 18,964,670
Model mean: 12.2406
Obs mean: 11.7631
Model std: 3.5578
Obs std: 3.6817
Error distribution:
Min: -10.1604
5th pct: -1.0140
25th pct: -0.0423
Median: +0.5012
75th pct: +1.0188
95th pct: +1.9494
Max: +7.0863
--- CCI-SST ---
RMSE: 1.0284
Bias: +0.5445
MAE: 0.8085
Correlation: 0.9536
N points: 24,690,060
Model mean: 12.4965
Obs mean: 11.9521
Model std: 3.5237
Obs std: 3.6177
Error distribution:
Min: -10.7550
5th pct: -0.8099
25th pct: +0.0178
Median: +0.5414
75th pct: +1.0724
95th pct: +1.9664
Max: +6.9857
================================================================================
Period: 2020 | Model: pyGETM
================================================================================
Analysed: 2026-05-28 09:43:10
--- OSTIA ---
RMSE: 0.9941
Bias: +0.3744
MAE: 0.7732
Correlation: 0.9482
N points: 19,016,628
Model mean: 12.1537
Obs mean: 11.7794
Model std: 3.5325
Obs std: 3.6783
Error distribution:
Min: -12.5796
5th pct: -1.1772
25th pct: -0.1186
Median: +0.4096
75th pct: +0.9065
95th pct: +1.8162
Max: +8.0812
--- CCI-SST ---
RMSE: 0.9897
Bias: +0.4743
MAE: 0.7769
Correlation: 0.9546
N points: 24,757,704
Model mean: 12.3926
Obs mean: 11.9182
Model std: 3.5221
Obs std: 3.6279
Error distribution:
Min: -12.9171
5th pct: -0.9447
25th pct: -0.0113
Median: +0.4851
75th pct: +0.9818
95th pct: +1.8416
Max: +8.6647
================================================================================
Period: 2021 | Model: pyGETM
================================================================================
Analysed: 2026-05-28 09:43:10
--- OSTIA ---
RMSE: 1.0847
Bias: +0.5151
MAE: 0.8532
Correlation: 0.9444
N points: 18,964,670
Model mean: 12.2502
Obs mean: 11.7351
Model std: 3.8264
Obs std: 3.8776
Error distribution:
Min: -9.4916
5th pct: -1.0401
25th pct: -0.0174
Median: +0.5381
75th pct: +1.0673
95th pct: +2.0778
Max: +9.9159
--- CCI-SST ---
RMSE: 1.0759
Bias: +0.5751
MAE: 0.8461
Correlation: 0.9514
N points: 24,689,971
Model mean: 12.5536
Obs mean: 11.9786
Model std: 3.7981
Obs std: 3.8267
Error distribution:
Min: -11.2869
5th pct: -0.8736
25th pct: +0.0470
Median: +0.5737
75th pct: +1.1068
95th pct: +2.0469
Max: +9.4268
================================================================================
Period: 2022 | Model: pyGETM
================================================================================
Analysed: 2026-05-28 09:43:10
--- OSTIA ---
RMSE: 1.0114
Bias: +0.4266
MAE: 0.7780
Correlation: 0.9547
N points: 18,964,670
Model mean: 12.4782
Obs mean: 12.0517
Model std: 3.7123
Obs std: 3.8585
Error distribution:
Min: -12.4475
5th pct: -1.0535
25th pct: -0.0504
Median: +0.4487
75th pct: +0.9241
95th pct: +1.8781
Max: +8.5413
--- CCI-SST ---
RMSE: 0.9847
Bias: +0.4708
MAE: 0.7637
Correlation: 0.9595
N points: 24,690,060
Model mean: 12.7723
Obs mean: 12.3015
Model std: 3.6414
Obs std: 3.7716
Error distribution:
Min: -12.3007
5th pct: -0.8898
25th pct: -0.0004
Median: +0.4833
75th pct: +0.9501
95th pct: +1.8266
Max: +8.6596
📄 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 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
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
Taylor diagram
Gridded 3D Validation
Statistics
SALT_3D
| Metric | WOA |
|---|---|
| RMSE | 0.4526 |
| Bias | -0.1253 |
| MAE | 0.2327 |
| Corr | 0.7155 |
| Model mean | 35.1640 |
| Obs mean | 35.2893 |
View Full Statistics Report
################################################################################
SALT Validation Statistics
################################################################################
Format: 1.1
Created: 2026-05-29 12:09:50
Author: RT
Project: OceanICU
Institute: BB
Area: AMM7
Experiment: CMEMS_prof
################################################################################
================================================================================
Period: 2016-2022 | Model: pyGETM
================================================================================
Analysed: 2026-05-29 12:09:50
--- WOA ---
RMSE: 0.4526
Bias: -0.1253
MAE: 0.2327
Correlation: 0.7155
N points: 118,126,680
Model mean: 35.1640
Obs mean: 35.2893
Model std: 0.6221
Obs std: 0.4622
Error distribution:
Min: -18.8635
5th pct: -0.7326
25th pct: -0.2239
Median: -0.0391
75th pct: +0.0572
95th pct: +0.2731
Max: +11.5541
Monthly breakdown:
Month RMSE Bias MAE Corr
--------------------------------------------
Jan 0.3786 -0.1042 0.2156 0.6994
Feb 0.3776 -0.0972 0.2136 0.7079
Mar 0.3889 -0.1053 0.2129 0.7377
Apr 0.4034 -0.1219 0.2171 0.7555
May 0.4529 -0.1293 0.2332 0.7520
Jun 0.5089 -0.1468 0.2470 0.7481
Jul 0.5271 -0.1494 0.2521 0.7278
Aug 0.5364 -0.1494 0.2551 0.7026
Sep 0.5254 -0.1465 0.2503 0.6982
Oct 0.4657 -0.1122 0.2439 0.7017
Nov 0.4074 -0.1194 0.2273 0.7054
Dec 0.4119 -0.1221 0.2242 0.6815
--------------------------------------------
All 0.4526 -0.1253 0.2327 0.7155
================================================================================
Period: 2016-2023 | Model: pyGETM
================================================================================
Analysed: 2026-05-29 16:14:21
--- WOA ---
RMSE: 0.5154
Bias: -0.1342
MAE: 0.2422
Correlation: 0.6853
N points: 133,595,650
Model mean: 35.1550
Obs mean: 35.2892
Model std: 0.6833
Obs std: 0.4630
Error distribution:
Min: -18.8609
5th pct: -0.7437
25th pct: -0.2269
Median: -0.0375
75th pct: +0.0605
95th pct: +0.2712
Max: +11.5549
Monthly breakdown:
Month RMSE Bias MAE Corr
--------------------------------------------
Jan 0.3813 -0.1057 0.2168 0.6958
Feb 0.3905 -0.1009 0.2168 0.6985
Mar 0.4152 -0.1125 0.2191 0.7204
Apr 0.4534 -0.1302 0.2244 0.7361
May 0.5589 -0.1430 0.2472 0.7034
Jun 0.6598 -0.1664 0.2682 0.6830
Jul 0.6377 -0.1647 0.2686 0.6870
Aug 0.6193 -0.1633 0.2711 0.6683
Sep 0.5943 -0.1566 0.2632 0.6686
Oct 0.4938 -0.1179 0.2499 0.6927
Nov 0.4419 -0.1250 0.2349 0.6914
Dec 0.4119 -0.1221 0.2242 0.6815
--------------------------------------------
All 0.5154 -0.1342 0.2422 0.6853
📄 Download Statistics Report (txt) · 📄 YAML
TEMP_3D
| Metric | WOA |
|---|---|
| RMSE | 2.9556 |
| Bias | -1.3505 |
| MAE | 2.1699 |
| Corr | 0.8019 |
| Model mean | 7.8566 |
| Obs mean | 9.2071 |
View Full Statistics Report
################################################################################
TEMP Validation Statistics
################################################################################
Format: 1.1
Created: 2026-05-29 11:42:11
Author: RT
Project: OceanICU
Institute: BB
Area: AMM7
Experiment: CMEMS_prof
################################################################################
================================================================================
Period: 2016-2022 | Model: pyGETM
================================================================================
Analysed: 2026-05-29 11:42:11
--- WOA ---
RMSE: 2.9556
Bias: -1.3505
MAE: 2.1699
Correlation: 0.8019
N points: 118,126,680
Model mean: 7.8566
Obs mean: 9.2071
Model std: 4.3879
Obs std: 3.7159
Error distribution:
Min: -8.9401
5th pct: -6.0232
25th pct: -3.2092
Median: -0.7217
75th pct: +0.3321
95th pct: +2.2068
Max: +13.8816
Monthly breakdown:
Month RMSE Bias MAE Corr
--------------------------------------------
Jan 2.8248 -1.4380 2.0101 0.7705
Feb 2.7992 -1.4647 1.9652 0.7643
Mar 2.8077 -1.4544 1.9721 0.7538
Apr 2.8224 -1.4370 1.9971 0.7553
May 2.8810 -1.3341 2.1024 0.7646
Jun 3.0204 -1.1987 2.2799 0.7864
Jul 3.1510 -1.1455 2.4029 0.8120
Aug 3.1883 -1.1554 2.4506 0.8296
Sep 3.0976 -1.2775 2.3705 0.8385
Oct 3.0053 -1.4284 2.2450 0.8312
Nov 2.9481 -1.4151 2.1577 0.8044
Dec 2.8862 -1.4573 2.0852 0.7872
--------------------------------------------
All 2.9556 -1.3505 2.1699 0.8019
================================================================================
Period: 2016-2023 | Model: pyGETM
================================================================================
Analysed: 2026-05-29 15:57:33
--- WOA ---
RMSE: 2.9639
Bias: -1.3276
MAE: 2.1791
Correlation: 0.8009
N points: 133,595,650
Model mean: 7.8810
Obs mean: 9.2086
Model std: 4.4148
Obs std: 3.7188
Error distribution:
Min: -8.9401
5th pct: -6.0291
25th pct: -3.2066
Median: -0.6985
75th pct: +0.3801
95th pct: +2.2626
Max: +13.8816
Monthly breakdown:
Month RMSE Bias MAE Corr
--------------------------------------------
Jan 2.8371 -1.4266 2.0192 0.7679
Feb 2.8114 -1.4545 1.9757 0.7617
Mar 2.8174 -1.4487 1.9805 0.7521
Apr 2.8272 -1.4180 2.0019 0.7538
May 2.8878 -1.3073 2.1116 0.7633
Jun 3.0450 -1.1444 2.3097 0.7840
Jul 3.1569 -1.1091 2.4118 0.8114
Aug 3.1875 -1.1336 2.4507 0.8293
Sep 3.1092 -1.2443 2.3844 0.8374
Oct 3.0093 -1.4022 2.2508 0.8306
Nov 2.9467 -1.4014 2.1566 0.8044
Dec 2.8862 -1.4573 2.0852 0.7872
--------------------------------------------
All 2.9639 -1.3276 2.1791 0.8009
📄 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
Salinity — monthly 3D profile statistics
Salinity — monthly 3D Taylor diagram
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
Temperature — monthly 3D profile statistics
Temperature — monthly 3D Taylor diagram
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
Salinity — monthly 3D profile statistics
Salinity — monthly 3D Taylor diagram
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
Temperature — monthly 3D profile statistics
Temperature — monthly 3D Taylor diagram
ICES Point Profiles
Statistics
ALK
| Metric | ICES point observations |
|---|---|
| RMSE | 439.9290 |
| Bias | -356.5721 |
| MAE | 356.5721 |
| Corr | 0.1296 |
| Model mean | 1988.7083 |
| Obs mean | 2345.2805 |
View Full Statistics Report
################################################################################
ALK Profile Validation Statistics
################################################################################
Format: 1.1
Created: 2026-05-29 12:43:26
Area: AMM7
Experiment: CMEMS_prof
################################################################################
================================================================================
Period: 2016-2022 | Model: pyGETM
================================================================================
Analysed: 2026-05-29 12:57:33
--- ICES point observations ---
RMSE: 439.9290
Bias: -356.5721
MAE: 356.5721
Correlation: 0.1296
N points: 2,294
N profiles: 475
Model mean: 1988.7083
Obs mean: 2345.2805
Model std: 256.5190
Obs std: 74.7763
Error distribution:
Min: -1658.1777
5th pct: -869.3167
25th pct: -421.3186
Median: -222.4875
75th pct: -199.1828
95th pct: -179.6012
Max: -160.0031
Statistics by depth:
Depth N Bias RMSE Corr
------------------------------------------------------
0-10m 928 -489.1728 545.6056 0.2332
10-25m 114 -771.2173 892.4272 0.3431
25-50m 86 -420.0974 559.5209 0.1613
50-100m 81 -230.3312 234.1705 0.2559
100-200m 123 -212.7691 213.5565 0.4549
200-500m 173 -203.1246 203.3161 0.1229
500-1000m 239 -210.1410 211.3882 0.2342
================================================================================
Period: 2016-2023 | Model: pyGETM
================================================================================
Analysed: 2026-05-29 15:17:44
--- ICES point observations ---
RMSE: 434.2403
Bias: -354.1481
MAE: 354.1481
Correlation: 0.0576
N points: 2,686
N profiles: 475
Model mean: 1993.0003
Obs mean: 2347.1484
Model std: 244.8000
Obs std: 72.7357
Error distribution:
Min: -1658.1777
5th pct: -852.3038
25th pct: -425.1389
Median: -222.4875
75th pct: -198.0753
95th pct: -179.5686
Max: -160.0031
Statistics by depth:
Depth N Bias RMSE Corr
------------------------------------------------------
0-10m 1,141 -483.6911 539.1833 0.1506
10-25m 122 -737.2087 865.1765 0.3563
25-50m 101 -389.4283 522.8791 0.1746
50-100m 92 -228.1082 231.6661 0.2698
100-200m 141 -211.5554 212.3143 0.4712
200-500m 202 -202.1531 202.3400 0.0968
500-1000m 278 -207.6120 208.8067 0.2578
📄 Download Statistics Report (txt) · 📄 YAML
AMON
| Metric | ICES point observations |
|---|---|
| RMSE | 2.3833 |
| Bias | -0.7501 |
| MAE | 1.0991 |
| Corr | 0.2028 |
| Model mean | 0.7025 |
| Obs mean | 1.4526 |
View Full Statistics Report
################################################################################
AMON Profile Validation Statistics
################################################################################
Format: 1.1
Created: 2026-05-29 12:43:37
Area: AMM7
Experiment: CMEMS_prof
################################################################################
================================================================================
Period: 2016-2022 | Model: pyGETM
================================================================================
Analysed: 2026-05-29 12:57:40
--- ICES point observations ---
RMSE: 2.3833
Bias: -0.7501
MAE: 1.0991
Correlation: 0.2028
N points: 2,107
N profiles: 1,601
Model mean: 0.7025
Obs mean: 1.4526
Model std: 0.3778
Obs std: 2.3089
Error distribution:
Min: -23.3105
5th pct: -5.0493
25th pct: -0.7219
Median: +0.0438
75th pct: +0.2971
95th pct: +0.6818
Max: +1.8140
Statistics by depth:
Depth N Bias RMSE Corr
------------------------------------------------------
0-10m 1,683 -0.9242 2.6521 0.1355
10-25m 170 +0.0830 0.4020 0.1790
25-50m 157 -0.1333 0.6422 0.3791
50-100m 59 -0.2975 0.7560 0.5765
100-200m 31 -0.0239 0.3311 0.3712
200-500m 7 +0.0105 0.1747 -0.4149
================================================================================
Period: 2016-2023 | Model: pyGETM
================================================================================
Analysed: 2026-05-29 15:17:56
--- ICES point observations ---
RMSE: 2.3833
Bias: -0.7501
MAE: 1.0991
Correlation: 0.2028
N points: 2,107
N profiles: 1,601
Model mean: 0.7025
Obs mean: 1.4526
Model std: 0.3778
Obs std: 2.3089
Error distribution:
Min: -23.3105
5th pct: -5.0493
25th pct: -0.7219
Median: +0.0438
75th pct: +0.2971
95th pct: +0.6818
Max: +1.8140
Statistics by depth:
Depth N Bias RMSE Corr
------------------------------------------------------
0-10m 1,683 -0.9242 2.6521 0.1355
10-25m 170 +0.0830 0.4020 0.1790
25-50m 157 -0.1333 0.6422 0.3791
50-100m 59 -0.2975 0.7560 0.5765
100-200m 31 -0.0239 0.3311 0.3712
200-500m 7 +0.0105 0.1747 -0.4149
📄 Download Statistics Report (txt) · 📄 YAML
DOXY
| Metric | ICES point observations |
|---|---|
| RMSE | 22.3934 |
| Bias | +0.8583 |
| MAE | 16.5486 |
| Corr | 0.7203 |
| Model mean | 261.3178 |
| Obs mean | 260.4595 |
View Full Statistics Report
################################################################################
DOXY Profile Validation Statistics
################################################################################
Format: 1.1
Created: 2026-05-29 12:42:18
Area: AMM7
Experiment: CMEMS_prof
################################################################################
================================================================================
Period: 2016-2022 | Model: pyGETM
================================================================================
Analysed: 2026-05-29 12:56:38
--- ICES point observations ---
RMSE: 22.3934
Bias: +0.8583
MAE: 16.5486
Correlation: 0.7203
N points: 788,493
N profiles: 8,867
Model mean: 261.3178
Obs mean: 260.4595
Model std: 25.8885
Obs std: 31.9997
Error distribution:
Min: -265.9409
5th pct: -30.1132
25th pct: -12.6728
Median: -0.2059
75th pct: +13.1636
95th pct: +38.0367
Max: +218.3087
Statistics by depth:
Depth N Bias RMSE Corr
------------------------------------------------------
0-10m 72,290 +5.3826 24.0454 0.7731
10-25m 94,367 +5.0515 25.7062 0.6569
25-50m 109,714 +4.4188 26.3749 0.6357
50-100m 111,067 +2.5140 20.9476 0.6903
100-200m 81,293 -3.2196 17.2519 0.6607
200-500m 119,756 -7.0123 18.9934 0.7423
500-1000m 107,712 +6.0834 23.6192 0.8761
================================================================================
Period: 2016-2023 | Model: pyGETM
================================================================================
Analysed: 2026-05-29 15:16:21
--- ICES point observations ---
RMSE: 25.9825
Bias: +1.5185
MAE: 18.2289
Correlation: 0.6758
N points: 968,855
N profiles: 10,067
Model mean: 258.8958
Obs mean: 257.3773
Model std: 29.5040
Obs std: 34.0768
Error distribution:
Min: -925.7754
5th pct: -31.9299
25th pct: -12.2544
Median: +0.6979
75th pct: +15.0950
95th pct: +44.0164
Max: +218.3087
Statistics by depth:
Depth N Bias RMSE Corr
------------------------------------------------------
0-10m 93,782 +4.8218 24.5506 0.7772
10-25m 114,682 +2.3173 31.1520 0.5947
25-50m 129,274 +1.3963 33.6985 0.5383
50-100m 130,004 +0.3437 24.7913 0.6046
100-200m 97,589 -4.1813 18.3323 0.6296
200-500m 148,259 -5.2592 18.7115 0.7438
500-1000m 144,578 +13.0451 28.4666 0.8610
📄 Download Statistics Report (txt) · 📄 YAML
NTRA
| Metric | ICES point observations |
|---|---|
| RMSE | 15.8629 |
| Bias | +6.7019 |
| MAE | 7.7606 |
| Corr | 0.4607 |
| Model mean | 14.9563 |
| Obs mean | 8.2544 |
View Full Statistics Report
################################################################################
NTRA Profile Validation Statistics
################################################################################
Format: 1.1
Created: 2026-05-29 12:42:37
Area: AMM7
Experiment: CMEMS_prof
################################################################################
================================================================================
Period: 2016-2022 | Model: pyGETM
================================================================================
Analysed: 2026-05-29 12:56:49
--- ICES point observations ---
RMSE: 15.8629
Bias: +6.7019
MAE: 7.7606
Correlation: 0.4607
N points: 10,883
N profiles: 5,542
Model mean: 14.9563
Obs mean: 8.2544
Model std: 16.1523
Obs std: 8.5484
Error distribution:
Min: -129.2255
5th pct: -2.3557
25th pct: -0.3159
Median: +1.3672
75th pct: +6.0449
95th pct: +40.9349
Max: +128.8937
Statistics by depth:
Depth N Bias RMSE Corr
------------------------------------------------------
0-10m 5,725 +11.1841 21.5109 0.4620
10-25m 1,177 +3.2673 5.7497 0.7565
25-50m 1,295 +2.8919 4.9329 0.3339
50-100m 911 +1.9035 3.9987 0.2689
100-200m 468 +0.0825 2.3909 0.5060
200-500m 437 -0.4805 1.4656 0.6827
500-1000m 408 -0.5264 1.1572 0.6690
================================================================================
Period: 2016-2023 | Model: pyGETM
================================================================================
Analysed: 2026-05-29 15:16:40
--- ICES point observations ---
RMSE: 16.6487
Bias: +7.1615
MAE: 8.1378
Correlation: 0.4090
N points: 12,333
N profiles: 6,264
Model mean: 15.0545
Obs mean: 7.8930
Model std: 16.3845
Obs std: 8.2420
Error distribution:
Min: -129.2255
5th pct: -2.2704
25th pct: -0.2108
Median: +1.4343
75th pct: +6.3585
95th pct: +41.9776
Max: +128.8937
Statistics by depth:
Depth N Bias RMSE Corr
------------------------------------------------------
0-10m 6,441 +10.6244 21.1857 0.4437
10-25m 1,539 +6.5287 14.3765 0.2647
25-50m 1,508 +4.4223 9.7176 -0.0397
50-100m 999 +3.1947 7.6536 -0.0845
100-200m 525 +0.7915 3.5575 0.2238
200-500m 451 -0.4155 1.5064 0.6637
500-1000m 408 -0.5264 1.1572 0.6690
📄 Download Statistics Report (txt) · 📄 YAML
PH
| Metric | ICES point observations |
|---|---|
| RMSE | 0.2863 |
| Bias | -0.1334 |
| MAE | 0.2114 |
| Corr | -0.0340 |
| Model mean | 7.9324 |
| Obs mean | 8.0658 |
View Full Statistics Report
################################################################################
PH Profile Validation Statistics
################################################################################
Format: 1.1
Created: 2026-05-29 12:57:24
Area: AMM7
Experiment: CMEMS_prof
################################################################################
================================================================================
Period: 2016-2022 | Model: pyGETM
================================================================================
Analysed: 2026-05-29 12:57:24
--- ICES point observations ---
RMSE: 0.2863
Bias: -0.1334
MAE: 0.2114
Correlation: -0.0340
N points: 3,644
N profiles: 2,548
Model mean: 7.9324
Obs mean: 8.0658
Model std: 0.1308
Obs std: 0.2126
Error distribution:
Min: -1.3892
5th pct: -0.5361
25th pct: -0.2415
Median: -0.1395
75th pct: -0.0347
95th pct: +0.2048
Max: +1.4513
Statistics by depth:
Depth N Bias RMSE Corr
------------------------------------------------------
0-10m 2,751 -0.1009 0.2829 -0.0432
10-25m 442 -0.2643 0.3390 0.0173
25-50m 257 -0.2307 0.2923 0.4627
50-100m 57 -0.1705 0.1767 0.1463
100-200m 87 -0.1612 0.1655 0.3784
200-500m 50 -0.1742 0.1767 0.4254
================================================================================
Period: 2016-2023 | Model: pyGETM
================================================================================
Analysed: 2026-05-29 15:17:28
--- ICES point observations ---
RMSE: 0.7866
Bias: -0.0468
MAE: 0.3079
Correlation: 0.0013
N points: 3,985
N profiles: 2,667
Model mean: 8.0205
Obs mean: 8.0673
Model std: 0.7584
Obs std: 0.2048
Error distribution:
Min: -2.0356
5th pct: -0.5489
25th pct: -0.2418
Median: -0.1414
75th pct: -0.0306
95th pct: +0.4633
Max: +6.9172
Statistics by depth:
Depth N Bias RMSE Corr
------------------------------------------------------
0-10m 2,879 -0.0792 0.4558 -0.0025
10-25m 542 -0.0067 1.2990 -0.0049
25-50m 319 -0.0146 1.1124 0.0351
50-100m 70 +0.1671 1.3875 -0.0348
100-200m 111 +0.2074 1.4985 -0.1372
200-500m 64 +0.2388 1.6496 -0.2301
📄 Download Statistics Report (txt) · 📄 YAML
PHOS
| Metric | ICES point observations |
|---|---|
| RMSE | 0.4875 |
| Bias | -0.0522 |
| MAE | 0.2134 |
| Corr | 0.5182 |
| Model mean | 0.5518 |
| Obs mean | 0.6039 |
View Full Statistics Report
################################################################################
PHOS Profile Validation Statistics
################################################################################
Format: 1.1
Created: 2026-05-29 12:42:54
Area: AMM7
Experiment: CMEMS_prof
################################################################################
================================================================================
Period: 2016-2022 | Model: pyGETM
================================================================================
Analysed: 2026-05-29 12:56:58
--- ICES point observations ---
RMSE: 0.4875
Bias: -0.0522
MAE: 0.2134
Correlation: 0.5182
N points: 12,705
N profiles: 6,166
Model mean: 0.5518
Obs mean: 0.6039
Model std: 0.3080
Obs std: 0.5665
Error distribution:
Min: -12.9906
5th pct: -0.3922
25th pct: -0.1232
Median: -0.0167
75th pct: +0.0968
95th pct: +0.4117
Max: +1.2841
Statistics by depth:
Depth N Bias RMSE Corr
------------------------------------------------------
0-10m 6,471 -0.0116 0.4149 0.3373
10-25m 1,472 +0.0606 0.2413 0.5692
25-50m 1,327 -0.0007 0.2995 0.2395
50-100m 876 -0.1359 0.4394 0.3638
100-200m 550 -0.1842 0.4711 0.4350
200-500m 507 -0.3429 0.9172 0.2174
500-1000m 535 -0.4458 1.2672 0.0601
================================================================================
Period: 2016-2023 | Model: pyGETM
================================================================================
Analysed: 2026-05-29 15:16:56
--- ICES point observations ---
RMSE: 0.4700
Bias: -0.0315
MAE: 0.2150
Correlation: 0.4898
N points: 15,065
N profiles: 7,364
Model mean: 0.5467
Obs mean: 0.5782
Model std: 0.3052
Obs std: 0.5357
Error distribution:
Min: -12.9906
5th pct: -0.3779
25th pct: -0.1195
Median: -0.0094
75th pct: +0.1132
95th pct: +0.4419
Max: +4.7662
Statistics by depth:
Depth N Bias RMSE Corr
------------------------------------------------------
0-10m 7,749 -0.0160 0.3956 0.3473
10-25m 2,001 +0.1060 0.2831 0.4364
25-50m 1,656 +0.0554 0.3570 0.0269
50-100m 990 -0.0953 0.4608 0.1674
100-200m 622 -0.1671 0.4459 0.3925
200-500m 526 -0.3326 0.9014 0.2164
500-1000m 540 -0.4417 1.2614 0.0552
📄 Download Statistics Report (txt) · 📄 YAML
PSAL
| Metric | ICES point observations |
|---|---|
| RMSE | 0.7536 |
| Bias | +0.0227 |
| MAE | 0.3297 |
| Corr | 0.8350 |
| Model mean | 34.8328 |
| Obs mean | 34.8101 |
View Full Statistics Report
################################################################################
PSAL Profile Validation Statistics
################################################################################
Format: 1.1
Created: 2026-05-29 12:41:38
Area: AMM7
Experiment: CMEMS_prof
################################################################################
================================================================================
Period: 2016-2022 | Model: pyGETM
================================================================================
Analysed: 2026-05-29 12:56:08
--- ICES point observations ---
RMSE: 0.7536
Bias: +0.0227
MAE: 0.3297
Correlation: 0.8350
N points: 3,976,738
N profiles: 28,570
Model mean: 34.8328
Obs mean: 34.8101
Model std: 1.3513
Obs std: 1.2492
Error distribution:
Min: -15.4042
5th pct: -0.9938
25th pct: -0.0106
Median: +0.0993
75th pct: +0.2458
95th pct: +0.5012
Max: +35.2795
Statistics by depth:
Depth N Bias RMSE Corr
------------------------------------------------------
0-10m 253,416 -0.1771 2.2775 0.8047
10-25m 378,237 -0.1917 1.1654 0.8180
25-50m 514,604 -0.0299 0.6984 0.7874
50-100m 691,762 +0.0608 0.4015 0.7658
100-200m 603,639 +0.0999 0.2137 0.7348
200-500m 682,193 +0.1402 0.2048 0.5686
500-1000m 507,812 +0.0297 0.1327 0.7549
================================================================================
Period: 2016-2023 | Model: pyGETM
================================================================================
Analysed: 2026-05-29 15:15:38
--- ICES point observations ---
RMSE: 0.9171
Bias: -0.0312
MAE: 0.3752
Correlation: 0.8203
N points: 4,458,918
N profiles: 32,108
Model mean: 34.7490
Obs mean: 34.7803
Model std: 1.5980
Obs std: 1.3802
Error distribution:
Min: -36.8340
5th pct: -1.2614
25th pct: -0.0252
Median: +0.0877
75th pct: +0.2414
95th pct: +0.4931
Max: +35.2795
Statistics by depth:
Depth N Bias RMSE Corr
------------------------------------------------------
0-10m 287,585 -0.3847 2.6196 0.7927
10-25m 420,641 -0.3763 1.5529 0.7890
25-50m 566,769 -0.1348 0.9469 0.7471
50-100m 760,775 +0.0236 0.4754 0.7422
100-200m 677,929 +0.0958 0.2211 0.7298
200-500m 777,735 +0.1370 0.2072 0.5370
500-1000m 584,330 +0.0157 0.1449 0.7318
📄 Download Statistics Report (txt) · 📄 YAML
SLCA
| Metric | ICES point observations |
|---|---|
| RMSE | 12.9218 |
| Bias | +4.7083 |
| MAE | 6.2643 |
| Corr | 0.3703 |
| Model mean | 10.6153 |
| Obs mean | 5.9071 |
View Full Statistics Report
################################################################################
SLCA Profile Validation Statistics
################################################################################
Format: 1.1
Created: 2026-05-29 12:43:09
Area: AMM7
Experiment: CMEMS_prof
################################################################################
================================================================================
Period: 2016-2022 | Model: pyGETM
================================================================================
Analysed: 2026-05-29 12:57:08
--- ICES point observations ---
RMSE: 12.9218
Bias: +4.7083
MAE: 6.2643
Correlation: 0.3703
N points: 12,046
N profiles: 6,191
Model mean: 10.6153
Obs mean: 5.9071
Model std: 12.2485
Obs std: 8.4556
Error distribution:
Min: -223.1672
5th pct: -3.8934
25th pct: +0.4557
Median: +2.1774
75th pct: +5.0962
95th pct: +25.2903
Max: +127.4158
Statistics by depth:
Depth N Bias RMSE Corr
------------------------------------------------------
0-10m 6,436 +6.9891 17.1288 0.3180
10-25m 1,478 +2.7847 4.4472 0.6747
25-50m 1,445 +2.3150 3.6839 0.5405
50-100m 911 +2.0483 3.2783 0.2599
100-200m 468 +1.3761 2.8223 -0.1394
200-500m 438 +0.8315 3.9326 -0.4166
500-1000m 408 -2.0631 4.2891 0.1261
================================================================================
Period: 2016-2023 | Model: pyGETM
================================================================================
Analysed: 2026-05-29 15:17:11
--- ICES point observations ---
RMSE: 80.6154
Bias: +11.8343
MAE: 13.5131
Correlation: 0.0407
N points: 14,393
N profiles: 7,388
Model mean: 17.6991
Obs mean: 5.8648
Model std: 79.5998
Obs std: 9.0366
Error distribution:
Min: -223.1672
5th pct: -3.4363
25th pct: +0.4273
Median: +2.2798
75th pct: +5.6815
95th pct: +36.9089
Max: +5349.7300
Statistics by depth:
Depth N Bias RMSE Corr
------------------------------------------------------
0-10m 7,713 +7.7946 23.9388 0.1856
10-25m 1,995 +16.5339 70.8511 0.0210
25-50m 1,774 +32.3608 164.7255 0.0277
50-100m 1,025 +15.4045 173.4657 0.1620
100-200m 540 +3.7140 10.5501 -0.0747
200-500m 457 +1.1073 4.2862 -0.3561
500-1000m 413 -1.9719 4.3078 0.1055
📄 Download Statistics Report (txt) · 📄 YAML
TEMP
| Metric | ICES point observations |
|---|---|
| RMSE | 1.5693 |
| Bias | +0.4750 |
| MAE | 1.1421 |
| Corr | 0.9331 |
| Model mean | 8.0598 |
| Obs mean | 7.5848 |
View Full Statistics Report
################################################################################
TEMP Profile Validation Statistics
################################################################################
Format: 1.1
Created: 2026-05-29 12:39:57
Area: AMM7
Experiment: CMEMS_prof
################################################################################
================================================================================
Period: 2016-2022 | Model: pyGETM
================================================================================
Analysed: 2026-05-29 12:54:29
--- ICES point observations ---
RMSE: 1.5693
Bias: +0.4750
MAE: 1.1421
Correlation: 0.9331
N points: 3,986,298
N profiles: 25,705
Model mean: 8.0598
Obs mean: 7.5848
Model std: 4.1066
Obs std: 4.0713
Error distribution:
Min: -9.5860
5th pct: -2.0272
25th pct: -0.2457
Median: +0.4481
75th pct: +1.3049
95th pct: +2.7299
Max: +9.9537
Statistics by depth:
Depth N Bias RMSE Corr
------------------------------------------------------
0-10m 252,134 +0.4912 1.2004 0.9673
10-25m 379,916 +0.2349 1.3184 0.9372
25-50m 517,164 +0.3646 1.4374 0.8427
50-100m 694,702 +0.7255 1.3029 0.7868
100-200m 606,157 +0.8693 1.4400 0.7127
200-500m 683,367 +0.6611 2.1119 0.7129
500-1000m 507,782 +0.0531 2.0368 0.8757
================================================================================
Period: 2016-2023 | Model: pyGETM
================================================================================
Analysed: 2026-05-29 15:13:40
--- ICES point observations ---
RMSE: 1.6103
Bias: +0.4365
MAE: 1.1700
Correlation: 0.9270
N points: 4,468,175
N profiles: 28,970
Model mean: 8.0813
Obs mean: 7.6448
Model std: 4.0639
Obs std: 4.0472
Error distribution:
Min: -9.5860
5th pct: -2.2587
25th pct: -0.2761
Median: +0.4283
75th pct: +1.2900
95th pct: +2.7338
Max: +9.9537
Statistics by depth:
Depth N Bias RMSE Corr
------------------------------------------------------
0-10m 286,078 +0.4834 1.2458 0.9654
10-25m 422,314 +0.2162 1.3405 0.9358
25-50m 569,299 +0.3442 1.4508 0.8414
50-100m 763,683 +0.7146 1.2950 0.7835
100-200m 680,438 +0.8650 1.4387 0.7000
200-500m 778,908 +0.6231 2.1611 0.6889
500-1000m 584,300 -0.0903 2.1361 0.8724
📄 Download Statistics Report (txt) · 📄 YAML
Plots
ALK — statistics vs depth profile
AMON — statistics vs depth profile
DOXY — statistics vs depth profile
NTRA — statistics vs depth profile
PH — statistics vs depth profile
PHOS — statistics vs depth profile
Practical Salinity — statistics vs depth profile
SLCA — statistics vs depth profile
Temperature — statistics vs depth profile
ALK — statistics vs depth profile
AMON — statistics vs depth profile
DOXY — statistics vs depth profile
NTRA — statistics vs depth profile
PH — statistics vs depth profile
PHOS — statistics vs depth profile
Practical Salinity — statistics vs depth profile
SLCA — statistics vs depth profile
Temperature — statistics vs depth profile
Argo Float Profiles
Statistics
PSAL
| Metric | ARGO floats |
|---|---|
| RMSE | 4.3246 |
| Bias | +0.5709 |
| MAE | 0.7263 |
| Corr | 0.1595 |
| Model mean | 35.2644 |
| Obs mean | 34.6935 |
View Full Statistics Report
################################################################################
PSAL Profile Validation Statistics
################################################################################
Format: 1.1
Created: 2026-05-29 16:36:18
Area: AMM7
Experiment: CMEMS_prof
################################################################################
================================================================================
Period: 2016-2023 | Model: pyGETM
================================================================================
Analysed: 2026-05-29 16:36:18
--- ARGO floats ---
RMSE: 4.3246
Bias: +0.5709
MAE: 0.7263
Correlation: 0.1595
N points: 4,895,384
N profiles: 18,471
Model mean: 35.2644
Obs mean: 34.6935
Model std: 0.2787
Obs std: 4.3223
Error distribution:
Min: -26.4752
5th pct: -0.3981
25th pct: -0.0672
Median: +0.0029
75th pct: +0.0719
95th pct: +0.2697
Max: +36.9157
Statistics by depth:
Depth N Bias RMSE Corr
------------------------------------------------------
0-10m 96,516 +0.4697 3.1959 0.1675
10-25m 146,016 +0.5830 3.5892 0.1349
25-50m 232,385 +0.6343 3.6990 0.1360
50-100m 424,320 +0.6702 3.8183 0.1510
100-200m 492,481 +0.6599 4.4583 0.1816
200-500m 1,074,989 +0.6384 4.6175 0.1832
500-1000m 1,117,112 +0.5099 4.5146 0.2355
📄 Download Statistics Report (txt) · 📄 YAML
TEMP
| Metric | ARGO floats |
|---|---|
| RMSE | 1.3830 |
| Bias | -0.3017 |
| MAE | 0.9641 |
| Corr | 0.9548 |
| Model mean | 7.7839 |
| Obs mean | 8.0856 |
View Full Statistics Report
################################################################################
TEMP Profile Validation Statistics
################################################################################
Format: 1.1
Created: 2026-05-29 16:34:00
Area: AMM7
Experiment: CMEMS_prof
################################################################################
================================================================================
Period: 2016-2023 | Model: pyGETM
================================================================================
Analysed: 2026-05-29 16:34:00
--- ARGO floats ---
RMSE: 1.3830
Bias: -0.3017
MAE: 0.9641
Correlation: 0.9548
N points: 4,895,719
N profiles: 18,471
Model mean: 7.7839
Obs mean: 8.0856
Model std: 4.5061
Obs std: 4.4654
Error distribution:
Min: -50.4401
5th pct: -2.8029
25th pct: -0.8963
Median: -0.1697
75th pct: +0.4016
95th pct: +1.6793
Max: +20.7284
Statistics by depth:
Depth N Bias RMSE Corr
------------------------------------------------------
0-10m 96,527 +0.1694 0.9843 0.9707
10-25m 146,026 -0.1189 1.2170 0.9502
25-50m 232,398 -0.1117 1.2881 0.9106
50-100m 424,337 +0.1387 1.2773 0.8928
100-200m 492,510 +0.2542 1.3819 0.9118
200-500m 1,075,125 -0.2946 1.5546 0.9182
500-1000m 1,117,248 -0.9743 1.6165 0.9462
📄 Download Statistics Report (txt) · 📄 YAML
Plots
Amm7 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 — 2016-2022
ICES Station Map
ICES Observation Density
ICES Alk Hovmoller
ICES Amon Hovmoller
ICES Doxy Hovmoller
ICES Ntra Hovmoller
ICES Ph Hovmoller
ICES Phos Hovmoller
ICES PSAL Hovmoller
ICES Slca Hovmoller
ICES TEMP Hovmoller
ICES Observations — 2016-2023
ICES Station Map
ICES Observation Density
ICES Alk Hovmoller
ICES Amon Hovmoller
ICES Cphl Hovmoller
ICES Doxy Hovmoller
ICES Ntra Hovmoller
ICES Ph Hovmoller
ICES Phos Hovmoller
ICES PSAL Hovmoller
ICES Slca Hovmoller
ICES TEMP Hovmoller
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).