################################################################################ SALT_SURFACE Validation Statistics ################################################################################ Format: 1.1 Created: 2026-05-04 09:23:50 Author: KB Project: OceanICU Institute: BB Area: NS Experiment: CMEMS ################################################################################ ================================================================================ Period: 2016-2023 | Model: pyGETM ================================================================================ Analysed: 2026-05-07 08:04:56 --- CCI-SSS --- RMSE: 2.2332 Bias: -0.1010 MAE: 1.1942 Correlation: 0.9219 N points: 16,531,480 Model mean: 32.8099 Obs mean: 33.0738 Model std: 5.2758 Obs std: 3.4437 Error distribution: Min: -29.0710 5th pct: -3.8999 25th pct: -0.2426 Median: +0.3087 75th pct: +0.8127 95th pct: +1.9089 Max: +14.4447 Monthly breakdown: Month RMSE Bias MAE Corr -------------------------------------------- Jan 2.1798 -0.2397 1.0593 0.9282 Feb 2.2350 -0.2855 1.0608 0.9246 Mar 2.3084 -0.1893 1.2082 0.9161 Apr 2.2102 -0.1710 1.2224 0.9223 May 2.1402 -0.1545 1.2026 0.9322 Jun 2.2213 -0.0484 1.2728 0.9200 Jul 2.1491 +0.0124 1.1709 0.9158 Aug 2.2884 +0.0322 1.2516 0.9107 Sep 2.3792 +0.0195 1.3232 0.9052 Oct 2.2765 +0.0627 1.2447 0.9086 Nov 2.3256 -0.0463 1.1993 0.9140 Dec 2.2576 -0.2154 1.1097 0.9236 -------------------------------------------- All 2.2332 -0.1010 1.1942 0.9219 ================================================================================ Period: 2016 | Model: pyGETM ================================================================================ Analysed: 2026-05-07 08:04:56 --- CCI-SSS --- RMSE: 1.9624 Bias: +0.2410 MAE: 1.1387 Correlation: 0.9311 N points: 2,077,414 Model mean: 33.1862 Obs mean: 33.0758 Model std: 4.9788 Obs std: 3.4872 Error distribution: Min: -28.1718 5th pct: -2.6694 25th pct: +0.0530 Median: +0.4876 75th pct: +1.0103 95th pct: +2.1139 Max: +14.4447 ================================================================================ Period: 2017 | Model: pyGETM ================================================================================ Analysed: 2026-05-07 08:04:56 --- CCI-SSS --- RMSE: 2.3162 Bias: -0.0157 MAE: 1.2143 Correlation: 0.9213 N points: 2,072,303 Model mean: 32.9092 Obs mean: 33.0686 Model std: 5.3606 Obs std: 3.4696 Error distribution: Min: -28.7901 5th pct: -4.1259 25th pct: -0.0723 Median: +0.3841 75th pct: +0.8888 95th pct: +2.0032 Max: +10.7868 ================================================================================ Period: 2018 | Model: pyGETM ================================================================================ Analysed: 2026-05-07 08:04:56 --- CCI-SSS --- RMSE: 2.4018 Bias: -0.3460 MAE: 1.1842 Correlation: 0.9236 N points: 2,056,640 Model mean: 32.7733 Obs mean: 33.2477 Model std: 5.4681 Obs std: 3.5455 Error distribution: Min: -28.7730 5th pct: -4.5800 25th pct: -0.4082 Median: +0.1207 75th pct: +0.5730 95th pct: +1.6785 Max: +11.3631 ================================================================================ Period: 2019 | Model: pyGETM ================================================================================ Analysed: 2026-05-07 08:04:56 --- CCI-SSS --- RMSE: 2.2862 Bias: -0.1992 MAE: 1.1727 Correlation: 0.9280 N points: 2,067,322 Model mean: 32.7883 Obs mean: 33.1263 Model std: 5.3341 Obs std: 3.4295 Error distribution: Min: -29.0710 5th pct: -4.0607 25th pct: -0.2776 Median: +0.2493 75th pct: +0.7198 95th pct: +1.7417 Max: +10.1715 ================================================================================ Period: 2020 | Model: pyGETM ================================================================================ Analysed: 2026-05-07 08:04:57 --- CCI-SSS --- RMSE: 2.2408 Bias: -0.0968 MAE: 1.1719 Correlation: 0.9241 N points: 2,065,576 Model mean: 32.7542 Obs mean: 33.0527 Model std: 5.3567 Obs std: 3.3748 Error distribution: Min: -25.6755 5th pct: -4.1724 25th pct: -0.1958 Median: +0.2821 75th pct: +0.8102 95th pct: +1.9192 Max: +9.7343 ================================================================================ Period: 2021 | Model: pyGETM ================================================================================ Analysed: 2026-05-07 08:04:57 --- CCI-SSS --- RMSE: 2.2624 Bias: -0.2819 MAE: 1.1847 Correlation: 0.9244 N points: 2,064,075 Model mean: 32.5380 Obs mean: 33.0125 Model std: 5.4038 Obs std: 3.4872 Error distribution: Min: -22.7722 5th pct: -4.3368 25th pct: -0.3992 Median: +0.2634 75th pct: +0.6940 95th pct: +1.5447 Max: +11.4668 ================================================================================ Period: 2022 | Model: pyGETM ================================================================================ Analysed: 2026-05-07 08:04:57 --- CCI-SSS --- RMSE: 2.3936 Bias: -0.2133 MAE: 1.3453 Correlation: 0.9175 N points: 2,064,075 Model mean: 32.6184 Obs mean: 33.0241 Model std: 5.4198 Obs std: 3.3329 Error distribution: Min: -27.6209 5th pct: -4.6468 25th pct: -0.3855 Median: +0.3520 75th pct: +0.8736 95th pct: +1.8849 Max: +8.5417 ================================================================================ Period: 2023 | Model: pyGETM ================================================================================ Analysed: 2026-05-07 08:04:57 --- CCI-SSS --- RMSE: 2.0031 Bias: +0.1006 MAE: 1.1422 Correlation: 0.9044 N points: 2,064,075 Model mean: 32.9091 Obs mean: 32.9830 Model std: 4.8238 Obs std: 3.4115 Error distribution: Min: -26.5762 5th pct: -2.8086 25th pct: -0.2291 Median: +0.3301 75th pct: +0.8974 95th pct: +2.2094 Max: +11.4691