################################################################################ 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