################################################################################ TEMP_SURFACE Validation Statistics ################################################################################ Format: 1.1 Created: 2026-05-08 16:35:31 Author: RT Project: OceanICU Institute: BB Area: AMM7 Experiment: CMEMS ################################################################################ ================================================================================ Period: 2016-2023 | Model: pyGETM ================================================================================ Analysed: 2026-05-08 16:35:31 --- OSTIA --- RMSE: 1.1413 Bias: +0.6880 MAE: 0.9304 Correlation: 0.9610 N points: 151,821,276 Model mean: 12.5587 Obs mean: 11.8707 Model std: 4.1250 Obs std: 3.8133 Error distribution: Min: -8.7641 5th pct: -0.7154 25th pct: +0.1569 Median: +0.6938 75th pct: +1.2403 95th pct: +2.0577 Max: +10.3511 Monthly breakdown: Month RMSE Bias MAE Corr -------------------------------------------- Jan 1.0662 +0.4158 0.8314 0.9516 Feb 1.0342 +0.3996 0.8026 0.9569 Mar 0.9865 +0.3976 0.7682 0.9601 Apr 0.9751 +0.5232 0.7787 0.9659 May 1.2053 +0.8779 0.9908 0.9657 Jun 1.6858 +1.3275 1.4104 0.9443 Jul 1.6447 +1.2961 1.3954 0.9472 Aug 1.3229 +0.9866 1.1060 0.9599 Sep 0.9637 +0.6132 0.7732 0.9750 Oct 0.8301 +0.4060 0.6628 0.9755 Nov 0.9600 +0.4646 0.7669 0.9634 Dec 1.0871 +0.5277 0.8676 0.9553 -------------------------------------------- All 1.1413 +0.6880 0.9304 0.9610 --- CCI-SST --- RMSE: 1.0988 Bias: +0.6777 MAE: 0.8850 Correlation: 0.9630 N points: 197,655,640 Model mean: 12.7536 Obs mean: 12.0759 Model std: 3.9975 Obs std: 3.7509 Error distribution: Min: -8.6116 5th pct: -0.6143 25th pct: +0.1526 Median: +0.6576 75th pct: +1.2001 95th pct: +2.0247 Max: +9.8150 Monthly breakdown: Month RMSE Bias MAE Corr -------------------------------------------- Jan 1.0157 +0.4205 0.7832 0.9547 Feb 0.9874 +0.4259 0.7585 0.9594 Mar 0.9561 +0.4372 0.7413 0.9619 Apr 0.9438 +0.5342 0.7480 0.9670 May 1.1622 +0.8527 0.9451 0.9657 Jun 1.5979 +1.2445 1.3184 0.9449 Jul 1.5647 +1.2205 1.3068 0.9489 Aug 1.2921 +0.9643 1.0655 0.9621 Sep 0.9516 +0.6128 0.7562 0.9763 Oct 0.8124 +0.4098 0.6375 0.9775 Nov 0.9186 +0.4568 0.7226 0.9669 Dec 1.0494 +0.5349 0.8258 0.9579 -------------------------------------------- All 1.0988 +0.6777 0.8850 0.9630 ================================================================================ Period: 2016 | Model: pyGETM ================================================================================ Analysed: 2026-05-08 16:35:31 --- OSTIA --- RMSE: 1.0372 Bias: +0.4304 MAE: 0.8261 Correlation: 0.9554 N points: 19,016,628 Model mean: 12.3040 Obs mean: 11.8735 Model std: 4.0874 Obs std: 3.7392 Error distribution: Min: -7.7802 5th pct: -1.0101 25th pct: -0.1190 Median: +0.4481 75th pct: +0.9985 95th pct: +1.7915 Max: +7.7702 --- CCI-SST --- RMSE: 0.9632 Bias: +0.3896 MAE: 0.7552 Correlation: 0.9596 N points: 24,757,704 Model mean: 12.4409 Obs mean: 12.0513 Model std: 3.9888 Obs std: 3.7266 Error distribution: Min: -7.4719 5th pct: -0.9291 25th pct: -0.1327 Median: +0.3825 75th pct: +0.9264 95th pct: +1.6953 Max: +9.1459 ================================================================================ Period: 2017 | Model: pyGETM ================================================================================ Analysed: 2026-05-08 16:35:31 --- OSTIA --- RMSE: 1.0966 Bias: +0.6580 MAE: 0.9017 Correlation: 0.9622 N points: 18,964,670 Model mean: 12.5554 Obs mean: 11.8974 Model std: 3.9457 Obs std: 3.6558 Error distribution: Min: -6.9771 5th pct: -0.7381 25th pct: +0.1152 Median: +0.6584 75th pct: +1.2008 95th pct: +2.0068 Max: +9.7926 --- CCI-SST --- RMSE: 1.0432 Bias: +0.6303 MAE: 0.8485 Correlation: 0.9657 N points: 24,690,059 Model mean: 12.7566 Obs mean: 12.1263 Model std: 3.8655 Obs std: 3.6290 Error distribution: Min: -6.6356 5th pct: -0.6719 25th pct: +0.1014 Median: +0.6084 75th pct: +1.1446 95th pct: +1.9419 Max: +7.0723 ================================================================================ Period: 2018 | Model: pyGETM ================================================================================ Analysed: 2026-05-08 16:35:31 --- OSTIA --- RMSE: 1.2056 Bias: +0.7522 MAE: 0.9871 Correlation: 0.9592 N points: 18,964,670 Model mean: 12.3961 Obs mean: 11.6439 Model std: 4.3034 Obs std: 3.9844 Error distribution: Min: -7.2633 5th pct: -0.7586 25th pct: +0.1792 Median: +0.7505 75th pct: +1.3270 95th pct: +2.1497 Max: +10.3511 --- CCI-SST --- RMSE: 1.1715 Bias: +0.7576 MAE: 0.9490 Correlation: 0.9625 N points: 24,690,050 Model mean: 12.5617 Obs mean: 11.8041 Model std: 4.1404 Obs std: 3.8476 Error distribution: Min: -8.6116 5th pct: -0.5983 25th pct: +0.1919 Median: +0.7296 75th pct: +1.3061 95th pct: +2.1444 Max: +9.8150 ================================================================================ Period: 2019 | Model: pyGETM ================================================================================ Analysed: 2026-05-08 16:35:31 --- OSTIA --- RMSE: 1.1243 Bias: +0.6977 MAE: 0.9248 Correlation: 0.9637 N points: 18,964,670 Model mean: 12.4609 Obs mean: 11.7631 Model std: 4.0079 Obs std: 3.6817 Error distribution: Min: -6.5304 5th pct: -0.6951 25th pct: +0.1702 Median: +0.6967 75th pct: +1.2440 95th pct: +2.0405 Max: +8.0854 --- CCI-SST --- RMSE: 1.1028 Bias: +0.7171 MAE: 0.8960 Correlation: 0.9638 N points: 24,690,060 Model mean: 12.6692 Obs mean: 11.9521 Model std: 3.8779 Obs std: 3.6177 Error distribution: Min: -6.3594 5th pct: -0.5700 25th pct: +0.1848 Median: +0.6976 75th pct: +1.2419 95th pct: +2.0499 Max: +8.3861 ================================================================================ Period: 2020 | Model: pyGETM ================================================================================ Analysed: 2026-05-08 16:35:31 --- OSTIA --- RMSE: 1.1024 Bias: +0.6864 MAE: 0.8956 Correlation: 0.9635 N points: 19,016,628 Model mean: 12.4657 Obs mean: 11.7794 Model std: 3.9567 Obs std: 3.6783 Error distribution: Min: -7.2009 5th pct: -0.6766 25th pct: +0.1720 Median: +0.6812 75th pct: +1.2070 95th pct: +2.0251 Max: +8.5298 --- CCI-SST --- RMSE: 1.0867 Bias: +0.7214 MAE: 0.8823 Correlation: 0.9658 N points: 24,757,704 Model mean: 12.6396 Obs mean: 11.9182 Model std: 3.8510 Obs std: 3.6279 Error distribution: Min: -6.3426 5th pct: -0.5347 25th pct: +0.2166 Median: +0.6932 75th pct: +1.2070 95th pct: +2.0145 Max: +9.5877 ================================================================================ Period: 2021 | Model: pyGETM ================================================================================ Analysed: 2026-05-08 16:35:31 --- OSTIA --- RMSE: 1.2379 Bias: +0.8245 MAE: 1.0207 Correlation: 0.9564 N points: 18,964,670 Model mean: 12.5596 Obs mean: 11.7351 Model std: 4.1881 Obs std: 3.8776 Error distribution: Min: -8.7641 5th pct: -0.6137 25th pct: +0.2571 Median: +0.8179 75th pct: +1.3941 95th pct: +2.2158 Max: +9.7990 --- CCI-SST --- RMSE: 1.1927 Bias: +0.7983 MAE: 0.9645 Correlation: 0.9581 N points: 24,689,971 Model mean: 12.7768 Obs mean: 11.9786 Model std: 4.0635 Obs std: 3.8267 Error distribution: Min: -7.9634 5th pct: -0.5196 25th pct: +0.2233 Median: +0.7550 75th pct: +1.3390 95th pct: +2.2036 Max: +9.3973 ================================================================================ Period: 2022 | Model: pyGETM ================================================================================ Analysed: 2026-05-08 16:35:31 --- OSTIA --- RMSE: 1.1100 Bias: +0.6975 MAE: 0.9016 Correlation: 0.9672 N points: 18,964,670 Model mean: 12.7492 Obs mean: 12.0517 Model std: 4.1292 Obs std: 3.8585 Error distribution: Min: -6.6134 5th pct: -0.6229 25th pct: +0.2163 Median: +0.6883 75th pct: +1.2038 95th pct: +1.9885 Max: +8.5413 --- CCI-SST --- RMSE: 1.0662 Bias: +0.6858 MAE: 0.8585 Correlation: 0.9680 N points: 24,690,060 Model mean: 12.9873 Obs mean: 12.3015 Model std: 3.9735 Obs std: 3.7716 Error distribution: Min: -6.5446 5th pct: -0.5330 25th pct: +0.2123 Median: +0.6609 75th pct: +1.1515 95th pct: +1.9579 Max: +8.7850 ================================================================================ Period: 2023 | Model: pyGETM ================================================================================ Analysed: 2026-05-08 16:35:31 --- OSTIA --- RMSE: 1.2137 Bias: +0.7578 MAE: 0.9860 Correlation: 0.9615 N points: 18,964,670 Model mean: 12.9799 Obs mean: 12.2221 Model std: 4.3244 Obs std: 3.9821 Error distribution: Min: -7.2034 5th pct: -0.7201 25th pct: +0.1704 Median: +0.7421 75th pct: +1.3253 95th pct: +2.1965 Max: +9.3188 --- CCI-SST --- RMSE: 1.1607 Bias: +0.7219 MAE: 0.9262 Correlation: 0.9611 N points: 24,690,032 Model mean: 13.1976 Obs mean: 12.4757 Model std: 4.1556 Obs std: 3.9041 Error distribution: Min: -7.4871 5th pct: -0.6567 25th pct: +0.1460 Median: +0.6806 75th pct: +1.2591 95th pct: +2.1728 Max: +8.8208