################################################################################ TEMP_SURFACE Validation Statistics ################################################################################ Format: 1.1 Created: 2026-05-04 08:37:10 Author: KB Project: OceanICU Institute: BB Area: NS Experiment: CMEMS ################################################################################ ================================================================================ Period: 2016-2023 | Model: pyGETM ================================================================================ Analysed: 2026-05-07 07:54:54 --- OSTIA --- RMSE: 0.8598 Bias: +0.1970 MAE: 0.6761 Correlation: 0.9010 N points: 2,003,850 Model mean: 11.1727 Obs mean: 10.9757 Model std: 4.2401 Obs std: 3.9426 Error distribution: Min: -7.1744 5th pct: -0.9853 25th pct: -0.2768 Median: +0.1666 75th pct: +0.6310 95th pct: +1.4022 Max: +7.9395 Monthly breakdown: Month RMSE Bias MAE Corr -------------------------------------------- Jan 0.7229 -0.2550 0.5449 0.9400 Feb 0.6042 -0.0340 0.4493 0.9239 Mar 0.6149 -0.0170 0.4606 0.8878 Apr 0.5382 -0.0852 0.3939 0.8233 May 0.8404 +0.3031 0.6237 0.9041 Jun 1.7251 +1.2612 1.4524 0.8453 Jul 1.3257 +0.8365 1.1079 0.8695 Aug 0.9577 +0.4789 0.7655 0.9295 Sep 0.8016 +0.1034 0.6220 0.9606 Oct 0.7823 -0.1480 0.6267 0.9310 Nov 0.7145 -0.0471 0.5509 0.9065 Dec 0.6757 -0.0334 0.5113 0.8896 -------------------------------------------- All 0.8598 +0.1970 0.6761 0.9010 --- CCI-SST --- RMSE: 0.8541 Bias: +0.4024 MAE: 0.6755 Correlation: 0.9213 N points: 17,213,415 Model mean: 11.4266 Obs mean: 11.0242 Model std: 4.2066 Obs std: 3.9824 Error distribution: Min: -7.8403 5th pct: -0.7046 25th pct: -0.0363 Median: +0.3916 75th pct: +0.8270 95th pct: +1.5552 Max: +8.4914 Monthly breakdown: Month RMSE Bias MAE Corr -------------------------------------------- Jan 0.6262 +0.1690 0.4699 0.9359 Feb 0.6282 +0.1686 0.4586 0.9399 Mar 0.5890 +0.1997 0.4302 0.9425 Apr 0.5680 +0.2267 0.4290 0.9313 May 0.9602 +0.6022 0.7531 0.9152 Jun 1.4925 +1.0823 1.2532 0.8952 Jul 1.3847 +0.9859 1.1698 0.9011 Aug 1.0726 +0.6578 0.8646 0.9273 Sep 0.8148 +0.1911 0.6194 0.9500 Oct 0.7477 +0.0475 0.5751 0.9360 Nov 0.6801 +0.1772 0.5137 0.9259 Dec 0.7516 +0.3026 0.5539 0.9111 -------------------------------------------- All 0.8541 +0.4024 0.6755 0.9213 ================================================================================ Period: 2016 | Model: pyGETM ================================================================================ Analysed: 2026-05-07 07:54:54 --- OSTIA --- RMSE: 0.8598 Bias: +0.1970 MAE: 0.6761 Correlation: 0.9010 N points: 2,003,850 Model mean: 11.1727 Obs mean: 10.9757 Model std: 4.2401 Obs std: 3.9426 Error distribution: Min: -7.1744 5th pct: -0.9853 25th pct: -0.2768 Median: +0.1666 75th pct: +0.6310 95th pct: +1.4022 Max: +7.9395 --- CCI-SST --- RMSE: 0.8271 Bias: +0.2944 MAE: 0.6560 Correlation: 0.9258 N points: 2,156,106 Model mean: 11.3043 Obs mean: 11.0099 Model std: 4.2196 Obs std: 3.9205 Error distribution: Min: -6.8646 5th pct: -0.7895 25th pct: -0.1504 Median: +0.2648 75th pct: +0.7036 95th pct: +1.4293 Max: +7.5252 ================================================================================ Period: 2017 | Model: pyGETM ================================================================================ Analysed: 2026-05-07 07:54:54 --- CCI-SST --- RMSE: 0.8032 Bias: +0.3863 MAE: 0.6358 Correlation: 0.9264 N points: 2,150,199 Model mean: 11.3208 Obs mean: 10.9345 Model std: 4.0051 Obs std: 3.7916 Error distribution: Min: -6.4653 5th pct: -0.6456 25th pct: -0.0430 Median: +0.3705 75th pct: +0.7915 95th pct: +1.4407 Max: +7.2120 ================================================================================ Period: 2018 | Model: pyGETM ================================================================================ Analysed: 2026-05-07 07:54:54 --- CCI-SST --- RMSE: 0.9637 Bias: +0.4715 MAE: 0.7590 Correlation: 0.9241 N points: 2,150,213 Model mean: 11.2432 Obs mean: 10.7718 Model std: 4.7218 Obs std: 4.5159 Error distribution: Min: -7.8403 5th pct: -0.7636 25th pct: -0.0196 Median: +0.4534 75th pct: +0.9389 95th pct: +1.7693 Max: +7.1265 ================================================================================ Period: 2019 | Model: pyGETM ================================================================================ Analysed: 2026-05-07 07:54:54 --- CCI-SST --- RMSE: 0.8462 Bias: +0.4463 MAE: 0.6805 Correlation: 0.9271 N points: 2,150,215 Model mean: 11.3664 Obs mean: 10.9201 Model std: 4.0471 Obs std: 3.7613 Error distribution: Min: -5.5929 5th pct: -0.6113 25th pct: +0.0056 Median: +0.4199 75th pct: +0.8461 95th pct: +1.5285 Max: +7.5057 ================================================================================ Period: 2020 | Model: pyGETM ================================================================================ Analysed: 2026-05-07 07:54:55 --- CCI-SST --- RMSE: 0.7883 Bias: +0.3926 MAE: 0.6278 Correlation: 0.9227 N points: 2,156,106 Model mean: 11.4934 Obs mean: 11.1007 Model std: 3.8711 Obs std: 3.6252 Error distribution: Min: -7.8276 5th pct: -0.6280 25th pct: -0.0231 Median: +0.3705 75th pct: +0.7808 95th pct: +1.4419 Max: +7.4337 ================================================================================ Period: 2021 | Model: pyGETM ================================================================================ Analysed: 2026-05-07 07:54:55 --- CCI-SST --- RMSE: 0.9056 Bias: +0.4168 MAE: 0.7069 Correlation: 0.9044 N points: 2,150,176 Model mean: 11.2643 Obs mean: 10.8476 Model std: 4.3819 Obs std: 4.1594 Error distribution: Min: -6.4133 5th pct: -0.7551 25th pct: -0.0254 Median: +0.4099 75th pct: +0.8400 95th pct: +1.6379 Max: +6.6665 ================================================================================ Period: 2022 | Model: pyGETM ================================================================================ Analysed: 2026-05-07 07:54:55 --- CCI-SST --- RMSE: 0.7620 Bias: +0.2979 MAE: 0.5932 Correlation: 0.9306 N points: 2,150,215 Model mean: 11.6401 Obs mean: 11.3423 Model std: 4.1089 Obs std: 3.9947 Error distribution: Min: -6.0376 5th pct: -0.7399 25th pct: -0.0999 Median: +0.2869 75th pct: +0.6851 95th pct: +1.3830 Max: +7.7539 ================================================================================ Period: 2023 | Model: pyGETM ================================================================================ Analysed: 2026-05-07 07:54:55 --- CCI-SST --- RMSE: 0.9326 Bias: +0.5140 MAE: 0.7450 Correlation: 0.9144 N points: 2,150,185 Model mean: 11.7807 Obs mean: 11.2667 Model std: 4.2088 Obs std: 3.9895 Error distribution: Min: -7.3122 5th pct: -0.6414 25th pct: +0.0481 Median: +0.5039 75th pct: +0.9512 95th pct: +1.6932 Max: +8.4914