################################################################################ SALT_SURFACE Validation Statistics ################################################################################ Format: 1.1 Created: 2026-05-08 17:11:33 Author: RT Project: OceanICU Institute: BB Area: AMM7 Experiment: CMEMS ################################################################################ ================================================================================ Period: 2016-2023 | Model: pyGETM ================================================================================ Analysed: 2026-05-08 17:11:33 --- CCI-SSS --- RMSE: 1.0607 Bias: -0.0323 MAE: 0.4797 Correlation: 0.8367 N points: 195,106,513 Model mean: 34.8636 Obs mean: 34.9009 Model std: 1.8646 Obs std: 1.1772 Error distribution: Min: -32.4903 5th pct: -1.6169 25th pct: -0.0780 Median: +0.0726 75th pct: +0.3042 95th pct: +0.9452 Max: +12.3821 Monthly breakdown: Month RMSE Bias MAE Corr -------------------------------------------- Jan 0.8388 +0.0465 0.3902 0.8231 Feb 0.8943 +0.0328 0.3982 0.8177 Mar 1.0006 +0.0175 0.4404 0.8135 Apr 1.0966 -0.0119 0.4801 0.8213 May 1.1882 -0.0753 0.5071 0.8507 Jun 1.3549 -0.1180 0.5677 0.8442 Jul 1.3352 -0.1511 0.5715 0.8304 Aug 1.2628 -0.1154 0.5641 0.8259 Sep 1.1832 -0.0716 0.5217 0.8386 Oct 0.9864 -0.0010 0.4560 0.8338 Nov 0.9272 +0.0507 0.4408 0.8239 Dec 0.9134 +0.0137 0.4142 0.8311 -------------------------------------------- All 1.0607 -0.0323 0.4797 0.8367 ================================================================================ Period: 2016 | Model: pyGETM ================================================================================ Analysed: 2026-05-08 17:11:33 --- CCI-SSS --- RMSE: 1.0796 Bias: +0.0085 MAE: 0.5070 Correlation: 0.8303 N points: 24,460,506 Model mean: 34.8929 Obs mean: 34.8875 Model std: 1.8572 Obs std: 1.1664 Error distribution: Min: -25.9802 5th pct: -1.3326 25th pct: -0.0760 Median: +0.1063 75th pct: +0.3527 95th pct: +1.0101 Max: +12.3821 ================================================================================ Period: 2017 | Model: pyGETM ================================================================================ Analysed: 2026-05-08 17:11:33 --- CCI-SSS --- RMSE: 0.9894 Bias: -0.0370 MAE: 0.4350 Correlation: 0.8368 N points: 24,395,369 Model mean: 34.8868 Obs mean: 34.9268 Model std: 1.7528 Obs std: 1.1686 Error distribution: Min: -28.0616 5th pct: -1.4195 25th pct: -0.0959 Median: +0.0304 75th pct: +0.2517 95th pct: +0.9291 Max: +9.1558 ================================================================================ Period: 2018 | Model: pyGETM ================================================================================ Analysed: 2026-05-08 17:11:33 --- CCI-SSS --- RMSE: 0.8767 Bias: -0.0191 MAE: 0.3859 Correlation: 0.8657 N points: 24,338,489 Model mean: 34.9172 Obs mean: 34.9407 Model std: 1.6709 Obs std: 1.1622 Error distribution: Min: -29.8512 5th pct: -0.9527 25th pct: -0.1005 Median: +0.0411 75th pct: +0.2498 95th pct: +0.7908 Max: +7.9468 ================================================================================ Period: 2019 | Model: pyGETM ================================================================================ Analysed: 2026-05-08 17:11:33 --- CCI-SSS --- RMSE: 0.9390 Bias: -0.0089 MAE: 0.4355 Correlation: 0.8454 N points: 24,377,458 Model mean: 34.8873 Obs mean: 34.8998 Model std: 1.7062 Obs std: 1.1549 Error distribution: Min: -29.7854 5th pct: -1.2546 25th pct: -0.0857 Median: +0.0595 75th pct: +0.2879 95th pct: +0.9240 Max: +8.0505 ================================================================================ Period: 2020 | Model: pyGETM ================================================================================ Analysed: 2026-05-08 17:11:33 --- CCI-SSS --- RMSE: 0.9259 Bias: +0.0438 MAE: 0.4365 Correlation: 0.8375 N points: 24,422,636 Model mean: 34.9239 Obs mean: 34.8879 Model std: 1.6997 Obs std: 1.1916 Error distribution: Min: -28.9147 5th pct: -1.0658 25th pct: -0.0615 Median: +0.0694 75th pct: +0.3168 95th pct: +1.0586 Max: +8.9942 ================================================================================ Period: 2021 | Model: pyGETM ================================================================================ Analysed: 2026-05-08 17:11:33 --- CCI-SSS --- RMSE: 1.0742 Bias: -0.0618 MAE: 0.4787 Correlation: 0.8473 N points: 24,370,685 Model mean: 34.8130 Obs mean: 34.8807 Model std: 1.9232 Obs std: 1.2061 Error distribution: Min: -27.8038 5th pct: -1.7676 25th pct: -0.0616 Median: +0.0734 75th pct: +0.2906 95th pct: +0.8820 Max: +11.8472 ================================================================================ Period: 2022 | Model: pyGETM ================================================================================ Analysed: 2026-05-08 17:11:33 --- CCI-SSS --- RMSE: 1.1325 Bias: -0.0067 MAE: 0.5116 Correlation: 0.8296 N points: 24,370,685 Model mean: 34.8814 Obs mean: 34.8939 Model std: 1.9137 Obs std: 1.1594 Error distribution: Min: -32.4903 5th pct: -1.5464 25th pct: -0.0589 Median: +0.1012 75th pct: +0.3480 95th pct: +1.0333 Max: +10.7502 ================================================================================ Period: 2023 | Model: pyGETM ================================================================================ Analysed: 2026-05-08 17:11:33 --- CCI-SSS --- RMSE: 1.4686 Bias: -0.1778 MAE: 0.6473 Correlation: 0.8015 N points: 24,370,685 Model mean: 34.7064 Obs mean: 34.8901 Model std: 2.3031 Obs std: 1.2056 Error distribution: Min: -28.9906 5th pct: -3.2024 25th pct: -0.0828 Median: +0.0953 75th pct: +0.3439 95th pct: +0.9217 Max: +6.5050