################################################################################ SALT_SURFACE Validation Statistics ################################################################################ Format: 1.1 Created: 2026-05-05 09:14:25 Author: RT Project: OceanICU Institute: BB Area: AMM7 Experiment: ObsKd ################################################################################ ================================================================================ Period: 2016-2023 | Model: pyGETM ================================================================================ Analysed: 2026-05-05 09:14:25 --- CCI-SSS --- RMSE: 1.0175 Bias: +0.3028 MAE: 0.4565 Correlation: 0.5923 N points: 195,106,513 Model mean: 35.1992 Obs mean: 34.9009 Model std: 0.9189 Obs std: 1.1772 Error distribution: Min: -32.4422 5th pct: -0.2566 25th pct: +0.0196 Median: +0.1659 75th pct: +0.4229 95th pct: +1.3574 Max: +16.3483 Monthly breakdown: Month RMSE Bias MAE Corr -------------------------------------------- Jan 0.8496 +0.2524 0.3990 0.6160 Feb 0.9187 +0.2439 0.4070 0.5780 Mar 1.0212 +0.2673 0.4494 0.5553 Apr 1.0706 +0.2940 0.4758 0.5608 May 1.0958 +0.3139 0.4758 0.5950 Jun 1.1599 +0.3540 0.5074 0.5942 Jul 1.1318 +0.3417 0.4905 0.5960 Aug 1.1018 +0.3402 0.4873 0.5874 Sep 1.0701 +0.3357 0.4768 0.5888 Oct 0.9992 +0.3188 0.4532 0.6019 Nov 0.9459 +0.3126 0.4502 0.5932 Dec 0.8639 +0.2571 0.4040 0.6111 -------------------------------------------- All 1.0175 +0.3028 0.4565 0.5923 ================================================================================ Period: 2016 | Model: pyGETM ================================================================================ Analysed: 2026-05-05 09:14:25 --- CCI-SSS --- RMSE: 0.9646 Bias: +0.3335 MAE: 0.4554 Correlation: 0.6298 N points: 24,460,506 Model mean: 35.2181 Obs mean: 34.8875 Model std: 0.8377 Obs std: 1.1664 Error distribution: Min: -25.6595 5th pct: -0.2215 25th pct: +0.0602 Median: +0.1992 75th pct: +0.4167 95th pct: +1.3660 Max: +16.3391 ================================================================================ Period: 2017 | Model: pyGETM ================================================================================ Analysed: 2026-05-05 09:14:25 --- CCI-SSS --- RMSE: 1.0577 Bias: +0.3108 MAE: 0.4452 Correlation: 0.5410 N points: 24,395,369 Model mean: 35.2346 Obs mean: 34.9268 Model std: 0.8842 Obs std: 1.1686 Error distribution: Min: -28.3337 5th pct: -0.1879 25th pct: +0.0357 Median: +0.1515 75th pct: +0.3853 95th pct: +1.4043 Max: +16.3483 ================================================================================ Period: 2018 | Model: pyGETM ================================================================================ Analysed: 2026-05-05 09:14:25 --- CCI-SSS --- RMSE: 1.0054 Bias: +0.2662 MAE: 0.4270 Correlation: 0.5825 N points: 24,338,489 Model mean: 35.2023 Obs mean: 34.9407 Model std: 0.8947 Obs std: 1.1622 Error distribution: Min: -29.7704 5th pct: -0.2629 25th pct: +0.0058 Median: +0.1467 75th pct: +0.3826 95th pct: +1.2028 Max: +15.6610 ================================================================================ Period: 2019 | Model: pyGETM ================================================================================ Analysed: 2026-05-05 09:14:25 --- CCI-SSS --- RMSE: 1.0175 Bias: +0.3184 MAE: 0.4582 Correlation: 0.5742 N points: 24,377,458 Model mean: 35.2146 Obs mean: 34.8998 Model std: 0.8729 Obs std: 1.1549 Error distribution: Min: -29.1042 5th pct: -0.2244 25th pct: +0.0336 Median: +0.1740 75th pct: +0.4267 95th pct: +1.3573 Max: +14.7918 ================================================================================ Period: 2020 | Model: pyGETM ================================================================================ Analysed: 2026-05-05 09:14:25 --- CCI-SSS --- RMSE: 1.0358 Bias: +0.3145 MAE: 0.4682 Correlation: 0.5868 N points: 24,422,636 Model mean: 35.1955 Obs mean: 34.8879 Model std: 0.9111 Obs std: 1.1916 Error distribution: Min: -28.9083 5th pct: -0.2460 25th pct: +0.0103 Median: +0.1524 75th pct: +0.4354 95th pct: +1.4383 Max: +14.7110 ================================================================================ Period: 2021 | Model: pyGETM ================================================================================ Analysed: 2026-05-05 09:14:25 --- CCI-SSS --- RMSE: 1.0346 Bias: +0.2895 MAE: 0.4466 Correlation: 0.5940 N points: 24,370,685 Model mean: 35.1648 Obs mean: 34.8807 Model std: 0.9546 Obs std: 1.2061 Error distribution: Min: -27.7001 5th pct: -0.2550 25th pct: +0.0255 Median: +0.1614 75th pct: +0.4111 95th pct: +1.2824 Max: +15.6702 ================================================================================ Period: 2022 | Model: pyGETM ================================================================================ Analysed: 2026-05-05 09:14:25 --- CCI-SSS --- RMSE: 1.0120 Bias: +0.2984 MAE: 0.4731 Correlation: 0.6090 N points: 24,370,685 Model mean: 35.1872 Obs mean: 34.8939 Model std: 1.0083 Obs std: 1.1594 Error distribution: Min: -32.4422 5th pct: -0.2952 25th pct: +0.0046 Median: +0.1724 75th pct: +0.4682 95th pct: +1.3366 Max: +12.9949 ================================================================================ Period: 2023 | Model: pyGETM ================================================================================ Analysed: 2026-05-05 09:14:25 --- CCI-SSS --- RMSE: 1.0128 Bias: +0.2914 MAE: 0.4785 Correlation: 0.6218 N points: 24,370,685 Model mean: 35.1762 Obs mean: 34.8901 Model std: 0.9737 Obs std: 1.2056 Error distribution: Min: -29.4798 5th pct: -0.3517 25th pct: -0.0235 Median: +0.1651 75th pct: +0.4594 95th pct: +1.3862 Max: +15.7449