Validations

Validation results for all areas and experiments.

AMM7 — Analysis Overview

AMM7 Analysis Overview This page summarises the analyses available for the AMM7 area, organised by type. Use the table of contents to jump to a specific section. Tidal Analysis TPXO9 — 2019-2022 Constituent Amp err (m) Phase err (°) M2 0.121 14.5 S2 0.038 14.3 K1 0.023 27.1 O1 0.013 18.0 2019-2022 Horizontal Surface Validation 📊 View Horizontal Surface Validation rankings for AMM7 → ...

NS — Analysis Overview

NS Analysis Overview This page summarises the analyses available for the NS area, organised by type. Use the table of contents to jump to a specific section. Tidal Analysis No tidal analysis has been performed for this area yet. Horizontal Surface Validation CMEMS — 2016-2023 Variable Dataset RMSE Bias Corr SALT CCI-SSS 2.233 -0.101 0.92 TEMP CCI-SST 0.854 +0.402 0.92 TEMP OSTIA 0.860 +0.197 0.90 2016-2023 Horizontal Bottom Layer Validation CMEMS — 2016-2023 ...

NSe — Analysis Overview

NSe Analysis Overview This page summarises the analyses available for the NSe area, organised by type. Use the table of contents to jump to a specific section. Tidal Analysis 📊 View Tidal Analysis rankings for NSe → CMEMS/tidal — 2011 Constituent Amp err (m) Phase err (°) M2 0.432 22.1 S2 0.146 23.8 K1 0.015 36.9 O1 0.028 24.2 2011 CMIP6/tidal — 2011-2011 ...

AMM7 - Experiment Baseline

Horizontal Validation results comparing model output against observations. Experiment Information Area: AMM7 Experiment: Baseline Validation Type: Horizontal Validation Variables: SALT_SURFACE, TEMP_SURFACE Overview Metric SALT_SURFACE / CCI-SSS TEMP_SURFACE / OSTIA TEMP_SURFACE / CCI-SST RMSE 1.0030 0.9160 0.9018 Bias 0.2756 0.3920 0.3841 Corr 0.6019 0.9651 0.9649 N points 195,106,513 151,821,276 197,655,640 Annual Statistics Trends Salinity (surface) — annual statistics timeseries (RMSE, bias, correlation) ...

AMM7 - Experiment CMEMS

Horizontal Validation results comparing model output against observations. Experiment Information Area: AMM7 Experiment: CMEMS Validation Type: Horizontal Validation Variables: SALT_SURFACE, TEMP_SURFACE Overview Metric SALT_SURFACE / CCI-SSS TEMP_SURFACE / OSTIA TEMP_SURFACE / CCI-SST RMSE 1.0607 1.1413 1.0988 Bias -0.0323 0.6880 0.6777 Corr 0.8367 0.9610 0.9630 N points 195,106,513 151,821,276 197,655,640 Annual Statistics Trends Salinity (surface) — annual statistics timeseries (RMSE, bias, correlation) ...

AMM7 - Experiment CMEMS_prof

Horizontal Validation results comparing model output against observations. Experiment Information Area: AMM7 Experiment: CMEMS_prof Validation Type: Horizontal Validation Variables: SALT_SURFACE, TEMP_SURFACE Overview Metric SALT_SURFACE / CCI-SSS TEMP_SURFACE / OSTIA TEMP_SURFACE / CCI-SST RMSE 0.8866 1.0272 1.0031 Bias 0.0802 0.4192 0.4755 Corr 0.8318 0.9479 0.9550 N points 170,735,828 132,856,606 172,965,608 Annual Statistics Trends Salinity (surface) — annual statistics timeseries (RMSE, bias, correlation) ...

AMM7 - Experiment NetSW_LW

Horizontal Validation results comparing model output against observations. Experiment Information Area: AMM7 Experiment: NetSW_LW Validation Type: Horizontal Validation Variables: SALT_SURFACE, TEMP_SURFACE Overview Metric SALT_SURFACE / CCI-SSS TEMP_SURFACE / OSTIA TEMP_SURFACE / CCI-SST RMSE 1.0077 0.9415 0.9283 Bias 0.2858 0.4208 0.4006 Corr 0.6003 0.9627 0.9621 N points 195,106,513 151,821,276 197,655,640 Annual Statistics Trends Salinity (surface) — annual statistics timeseries (RMSE, bias, correlation) ...

AMM7 - Experiment ObsKd

Horizontal Validation results comparing model output against observations. Experiment Information Area: AMM7 Experiment: ObsKd Validation Type: Horizontal Validation Variables: SALT_SURFACE, TEMP_SURFACE Overview Metric SALT_SURFACE / CCI-SSS TEMP_SURFACE / OSTIA TEMP_SURFACE / CCI-SST RMSE 1.0175 0.9880 0.9801 Bias 0.3028 0.5735 0.5491 Corr 0.5923 0.9654 0.9639 N points 195,106,513 151,821,276 197,655,640 Annual Statistics Trends Salinity (surface) — annual statistics timeseries (RMSE, bias, correlation) ...

AMM7 - TPXO9 - Tidal Analysis

Harmonic analysis of sea surface elevation compared with satellite products and tide gauge observations. Analysis Summary Analyzed Constituents: K1, K2, M2, N2, O1, P1, Q1, S2 Analysis Date: 2026-10-10 Satellite Product: FES2014/TPXO9 Plots Tide Gauge Station Map GESLA tide gauge station locations K₁ (lunar-solar diurnal) — amplitude/phase comparison with GESLA tide gauges O₁ (principal lunar diurnal) — amplitude/phase comparison with GESLA tide gauges ...

MLE Comparison — AMM7

MLE Cross-Experiment Comparison — AMM7 SVD-reduced maximum-likelihood ranking of model experiments against a common observation footprint. Ranking experiment log_likelihood rank delta_log_L aic explained_variance_captured Baseline -0.49748439587068466 1 0.0 2.9949687917413694 0.9972383853443495 NetSW_LW -0.5007573186360548 2 -0.003272922765370112 3.0015146372721095 0.9972383853443495 ObsKd -0.5017582854932605 3 -0.004273889622575855 3.003516570986521 0.9972383853443495 Diagnostic Plots

MLE Comparison — NS

MLE Cross-Experiment Comparison — NS SVD-reduced maximum-likelihood ranking of model experiments against a common observation footprint. Ranking experiment log_likelihood rank delta_log_L aic explained_variance_captured ObsKd -0.8997876421014234 1 0.0 3.799575284202847 0.9923041270768755 Adaptive_1 -1.0049792344553714 2 -0.10519159235394804 4.009958468910742 0.9923041270768755 Adaptive_3 -1.0061267306983028 3 -0.10633908859687946 4.012253461396606 0.9923041270768755 Adaptive_2 -1.0103562758376738 4 -0.11056863373625048 4.020712551675348 0.9923041270768755 SSRD_STRD -1.0108718935484369 5 -0.1110842514470135 4.021743787096874 0.9923041270768755 Baseline -1.011708243472961 6 -0.11192060137153759 4.023416486945922 0.9923041270768755 SSR_STR -1.0188474815428445 7 -0.11905983944142118 4.0376949630856895 0.9923041270768755 CMEMS -1.0373224983429865 8 -0.13753485624156314 4.074644996685973 0.9923041270768755 Diagnostic Plots ...

NS - Experiment Adaptive_1

Horizontal Validation results comparing model output against observations. Experiment Information Area: NS Experiment: Adaptive_1 Validation Type: Horizontal Validation Variables: ICES Point Profiles Statistics PSAL Metric ICES point observations RMSE 2.5983 Bias +0.5417 MAE 1.2525 Corr 0.9533 Model mean 32.7137 Obs mean 32.1720 View Full Statistics Report ################################################################################ PSAL Profile Validation Statistics ################################################################################ Format: 1.1 Created: 2026-05-04 11:32:32 Area: NS Experiment: Adaptive_1 ################################################################################ ================================================================================ Period: 2016-2023 | Model: pyGETM ================================================================================ Analysed: 2026-05-04 12:32:44 --- ICES point observations --- RMSE: 2.5983 Bias: +0.5417 MAE: 1.2525 Correlation: 0.9533 N points: 2,236,819 N profiles: 27,980 Model mean: 32.7137 Obs mean: 32.1720 Model std: 4.4837 Obs std: 6.4251 Error distribution: Min: -17.2622 5th pct: -1.1804 25th pct: -0.5350 Median: -0.1916 75th pct: +0.1352 95th pct: +7.2982 Max: +33.6566 Statistics by depth: Depth N Bias RMSE Corr ------------------------------------------------------ 0-10m 391,114 +3.2667 5.2914 0.9252 10-25m 411,753 +0.7607 2.7948 0.9533 25-50m 407,320 -0.2130 1.3397 0.9564 50-100m 463,310 -0.3512 0.5545 0.5926 100-200m 324,064 -0.2796 0.3866 0.5915 200-500m 224,455 -0.1640 0.2229 0.6268 500-1000m 14,803 -0.1505 0.1743 0.6283 📄 Download Statistics Report (txt) · 📄 YAML ...

NS - Experiment Adaptive_2

Horizontal Validation results comparing model output against observations. Experiment Information Area: NS Experiment: Adaptive_2 Validation Type: Horizontal Validation Variables: ICES Point Profiles Statistics PSAL Metric ICES point observations RMSE 2.6006 Bias +0.5477 MAE 1.2463 Corr 0.9533 Model mean 32.7196 Obs mean 32.1719 View Full Statistics Report ################################################################################ PSAL Profile Validation Statistics ################################################################################ Format: 1.1 Created: 2026-05-04 11:35:41 Area: NS Experiment: Adaptive_2 ################################################################################ ================================================================================ Period: 2016-2023 | Model: pyGETM ================================================================================ Analysed: 2026-05-04 12:35:46 --- ICES point observations --- RMSE: 2.6006 Bias: +0.5477 MAE: 1.2463 Correlation: 0.9533 N points: 2,236,727 N profiles: 27,980 Model mean: 32.7196 Obs mean: 32.1719 Model std: 4.4828 Obs std: 6.4252 Error distribution: Min: -17.2593 5th pct: -1.2089 25th pct: -0.5187 Median: -0.1690 75th pct: +0.1343 95th pct: +7.3084 Max: +33.6466 Statistics by depth: Depth N Bias RMSE Corr ------------------------------------------------------ 0-10m 391,112 +3.2676 5.2989 0.9250 10-25m 411,753 +0.7546 2.7957 0.9535 25-50m 407,304 -0.2225 1.3425 0.9563 50-100m 463,301 -0.3469 0.5548 0.5939 100-200m 324,019 -0.2533 0.3624 0.5883 200-500m 224,437 -0.1277 0.1848 0.6149 500-1000m 14,801 -0.1068 0.1311 0.5827 📄 Download Statistics Report (txt) · 📄 YAML ...

NS - Experiment Adaptive_3

Horizontal Validation results comparing model output against observations. Experiment Information Area: NS Experiment: Adaptive_3 Validation Type: Horizontal Validation Variables: ICES Point Profiles Statistics PSAL Metric ICES point observations RMSE 2.6013 Bias +0.5436 MAE 1.2563 Corr 0.9532 Model mean 32.7156 Obs mean 32.1720 View Full Statistics Report ################################################################################ PSAL Profile Validation Statistics ################################################################################ Format: 1.1 Created: 2026-05-04 11:38:51 Area: NS Experiment: Adaptive_3 ################################################################################ ================================================================================ Period: 2016-2023 | Model: pyGETM ================================================================================ Analysed: 2026-05-04 12:38:44 --- ICES point observations --- RMSE: 2.6013 Bias: +0.5436 MAE: 1.2563 Correlation: 0.9532 N points: 2,236,795 N profiles: 27,980 Model mean: 32.7156 Obs mean: 32.1720 Model std: 4.4810 Obs std: 6.4250 Error distribution: Min: -17.2535 5th pct: -1.1663 25th pct: -0.5393 Median: -0.1987 75th pct: +0.1378 95th pct: +7.3066 Max: +33.6562 Statistics by depth: Depth N Bias RMSE Corr ------------------------------------------------------ 0-10m 391,106 +3.2766 5.2981 0.9250 10-25m 411,736 +0.7713 2.7977 0.9532 25-50m 407,350 -0.2055 1.3373 0.9566 50-100m 463,309 -0.3517 0.5543 0.5911 100-200m 324,029 -0.2897 0.3961 0.5930 200-500m 224,457 -0.1794 0.2395 0.6292 500-1000m 14,808 -0.1664 0.1901 0.6165 📄 Download Statistics Report (txt) · 📄 YAML ...

NS - Experiment Baseline

Horizontal Validation results comparing model output against observations. Experiment Information Area: NS Experiment: Baseline Validation Type: Horizontal Validation Variables: ICES Point Profiles Statistics PSAL Metric ICES point observations RMSE 2.6065 Bias +0.5403 MAE 1.2611 Corr 0.9532 Model mean 32.7075 Obs mean 32.1672 View Full Statistics Report ################################################################################ PSAL Profile Validation Statistics ################################################################################ Format: 1.1 Created: 2026-05-04 11:23:14 Area: NS Experiment: Baseline ################################################################################ ================================================================================ Period: 2016-2023 | Model: pyGETM ================================================================================ Analysed: 2026-05-04 12:23:48 --- ICES point observations --- RMSE: 2.6065 Bias: +0.5403 MAE: 1.2611 Correlation: 0.9532 N points: 2,239,481 N profiles: 27,982 Model mean: 32.7075 Obs mean: 32.1672 Model std: 4.4762 Obs std: 6.4284 Error distribution: Min: -17.2384 5th pct: -1.2003 25th pct: -0.5472 Median: -0.1946 75th pct: +0.1334 95th pct: +7.3167 Max: +33.6631 Statistics by depth: Depth N Bias RMSE Corr ------------------------------------------------------ 0-10m 391,140 +3.2820 5.3064 0.9254 10-25m 412,998 +0.7575 2.8053 0.9533 25-50m 407,979 -0.2234 1.3511 0.9556 50-100m 463,619 -0.3534 0.5594 0.5896 100-200m 324,278 -0.2827 0.3908 0.5918 200-500m 224,657 -0.1674 0.2268 0.6291 500-1000m 14,810 -0.1502 0.1737 0.6219 📄 Download Statistics Report (txt) · 📄 YAML ...

NS - Experiment CMEMS

Horizontal Validation results comparing model output against observations. Experiment Information Area: NS Experiment: CMEMS Validation Type: Horizontal Validation Variables: SALT_BOTTOM, TEMP_BOTTOM, SALT_SURFACE, TEMP_SURFACE Overview Metric SALT_BOTTOM / NWS-salinity TEMP_BOTTOM / NWS-bottomT SALT_SURFACE / CCI-SSS TEMP_SURFACE / OSTIA TEMP_SURFACE / CCI-SST RMSE 0.4879 1.4122 2.2332 0.8598 0.8541 Bias 0.0749 -0.6136 -0.1010 0.1970 0.4024 Corr 0.8398 0.9208 0.9219 0.9010 0.9213 N points 58,068 58,068 16,531,480 2,003,850 17,213,415 Annual Statistics Trends Salinity (surface) — annual statistics timeseries (RMSE, bias, correlation) ...

NS - Experiment ObsKd

Horizontal Validation results comparing model output against observations. Experiment Information Area: NS Experiment: ObsKd Validation Type: Horizontal Validation Variables: ICES Point Profiles Statistics PSAL Metric ICES point observations RMSE 2.6434 Bias +0.5740 MAE 1.2680 Corr 0.9531 Model mean 32.7412 Obs mean 32.1672 View Full Statistics Report ################################################################################ PSAL Profile Validation Statistics ################################################################################ Format: 1.1 Created: 2026-05-04 11:51:39 Area: NS Experiment: ObsKd ################################################################################ ================================================================================ Period: 2016-2023 | Model: pyGETM ================================================================================ Analysed: 2026-05-04 12:41:44 --- ICES point observations --- RMSE: 2.6434 Bias: +0.5740 MAE: 1.2680 Correlation: 0.9531 N points: 2,239,479 N profiles: 27,982 Model mean: 32.7412 Obs mean: 32.1672 Model std: 4.4321 Obs std: 6.4284 Error distribution: Min: -17.1605 5th pct: -1.1617 25th pct: -0.5281 Median: -0.1850 75th pct: +0.1386 95th pct: +7.4418 Max: +33.6755 Statistics by depth: Depth N Bias RMSE Corr ------------------------------------------------------ 0-10m 391,138 +3.3694 5.3929 0.9248 10-25m 412,998 +0.8098 2.8412 0.9538 25-50m 407,979 -0.2014 1.3491 0.9566 50-100m 463,619 -0.3414 0.5469 0.5932 100-200m 324,278 -0.2727 0.3814 0.5929 200-500m 224,657 -0.1603 0.2193 0.6298 500-1000m 14,810 -0.1424 0.1656 0.6084 📄 Download Statistics Report (txt) · 📄 YAML ...

NS - Experiment SSR_SRT

Horizontal Validation results comparing model output against observations. Experiment Information Area: NS Experiment: SSR_SRT Validation Type: Horizontal Validation Variables: Argo Float Profiles Plots Argo float profile overview (NE Atlantic) NA_ARGO — Hovmöller diagram Observations ARGO Observations — 2016-2023 ARGO Station Map ARGO Observation Density ARGO Hovmoller ICES Observations — 2016-2023 ICES Station Map ...

NS - Experiment SSR_STR

Horizontal Validation results comparing model output against observations. Experiment Information Area: NS Experiment: SSR_STR Validation Type: Horizontal Validation Variables: ICES Point Profiles Statistics PSAL Metric ICES point observations RMSE 2.6128 Bias +0.5482 MAE 1.2606 Corr 0.9532 Model mean 32.7154 Obs mean 32.1672 View Full Statistics Report ################################################################################ PSAL Profile Validation Statistics ################################################################################ Format: 1.1 Created: 2026-05-04 11:26:18 Area: NS Experiment: SSR_STR ################################################################################ ================================================================================ Period: 2016-2023 | Model: pyGETM ================================================================================ Analysed: 2026-05-04 12:26:47 --- ICES point observations --- RMSE: 2.6128 Bias: +0.5482 MAE: 1.2606 Correlation: 0.9532 N points: 2,239,481 N profiles: 27,982 Model mean: 32.7154 Obs mean: 32.1672 Model std: 4.4704 Obs std: 6.4284 Error distribution: Min: -17.2323 5th pct: -1.1848 25th pct: -0.5399 Median: -0.1937 75th pct: +0.1353 95th pct: +7.3387 Max: +33.6850 Statistics by depth: Depth N Bias RMSE Corr ------------------------------------------------------ 0-10m 391,140 +3.3001 5.3217 0.9252 10-25m 412,998 +0.7706 2.8114 0.9533 25-50m 407,979 -0.2155 1.3495 0.9559 50-100m 463,619 -0.3501 0.5543 0.5921 100-200m 324,278 -0.2816 0.3887 0.5903 200-500m 224,657 -0.1674 0.2266 0.6256 500-1000m 14,810 -0.1529 0.1765 0.6274 📄 Download Statistics Report (txt) · 📄 YAML ...

NS - Experiment SSRD_STRD

Horizontal Validation results comparing model output against observations. Experiment Information Area: NS Experiment: SSRD_STRD Validation Type: Horizontal Validation Variables: ICES Point Profiles Statistics PSAL Metric ICES point observations RMSE 2.6506 Bias +0.5833 MAE 1.2688 Corr 0.9531 Model mean 32.7505 Obs mean 32.1671 View Full Statistics Report ################################################################################ PSAL Profile Validation Statistics ################################################################################ Format: 1.1 Created: 2026-05-04 11:29:24 Area: NS Experiment: SSRD_STRD ################################################################################ ================================================================================ Period: 2016-2023 | Model: pyGETM ================================================================================ Analysed: 2026-05-04 12:29:45 --- ICES point observations --- RMSE: 2.6506 Bias: +0.5833 MAE: 1.2688 Correlation: 0.9531 N points: 2,239,484 N profiles: 27,982 Model mean: 32.7505 Obs mean: 32.1671 Model std: 4.4246 Obs std: 6.4285 Error distribution: Min: -17.0901 5th pct: -1.1438 25th pct: -0.5232 Median: -0.1833 75th pct: +0.1464 95th pct: +7.4716 Max: +33.7238 Statistics by depth: Depth N Bias RMSE Corr ------------------------------------------------------ 0-10m 391,143 +3.3926 5.4090 0.9247 10-25m 412,998 +0.8309 2.8483 0.9538 25-50m 407,979 -0.1900 1.3492 0.9567 50-100m 463,619 -0.3383 0.5432 0.5937 100-200m 324,278 -0.2774 0.3844 0.5926 200-500m 224,657 -0.1663 0.2250 0.6311 500-1000m 14,810 -0.1490 0.1720 0.6332 📄 Download Statistics Report (txt) · 📄 YAML ...

NSe - CMEMS/tidal - Tidal Analysis

Harmonic analysis of sea surface elevation compared with satellite products and tide gauge observations. Analysis Summary Analyzed Constituents: K1, K2, M2, N2, O1, P1, Q1, S2 Analysis Date: 2026-10-10 Satellite Product: FES2014/TPXO9 Plots Tide Gauge Station Map GESLA tide gauge station locations Year 2011 K₁ (lunar-solar diurnal) — model amplitude and phase K₁ (lunar-solar diurnal) — amplitude/phase comparison with GESLA tide gauges ...

NSe - CMIP6/tidal - Tidal Analysis

Harmonic analysis of sea surface elevation compared with satellite products and tide gauge observations. Analysis Summary Analyzed Constituents: K1, K2, M2, N2, O1, P1, Q1, S2 Analysis Date: 2026-10-10 Satellite Product: FES2014/TPXO9 Plots Tide Gauge Station Map GESLA tide gauge station locations K₁ (lunar-solar diurnal) — model amplitude and phase K₁ (lunar-solar diurnal) — amplitude/phase comparison with GESLA tide gauges ...

NSe - Experiment CMEMS/spinup

Horizontal Validation results comparing model output against observations. Experiment Information Area: NSe Experiment: CMEMS/spinup Validation Type: Horizontal Validation Variables: TEMP_SURFACE Overview Metric TEMP_SURFACE / OSTIA RMSE 1.1152 Bias 0.5067 Corr 0.9031 N points 10,685,740 Horizontal Validation Statistics TEMP_SURFACE Metric OSTIA RMSE 1.1152 Bias +0.5067 MAE 0.8360 Corr 0.9031 Model mean 11.3317 Obs mean 10.8250 View Full Statistics Report ################################################################################ TEMP_SURFACE Validation Statistics ################################################################################ Format: 1.1 Created: 2026-10-07 11:11:45 Author: K.B. & R.T. Project: OceanICU Institute: BB Area: NSe Experiment: CMEMS/spinup ################################################################################ ================================================================================ Period: 2011-2013 | Model: pyGETM ================================================================================ Analysed: 2026-10-07 13:59:52 --- OSTIA --- RMSE: 1.1152 Bias: +0.5067 MAE: 0.8360 Correlation: 0.9031 N points: 10,685,740 Model mean: 11.3317 Obs mean: 10.8250 Model std: 3.9211 Obs std: 3.8866 Error distribution: Min: -7.8229 5th pct: -0.8018 25th pct: -0.0160 Median: +0.4534 75th pct: +0.8926 95th pct: +1.7141 Max: +8.4514 Monthly breakdown: Month RMSE Bias MAE Corr -------------------------------------------- Jan 1.9842 +1.6141 1.6611 0.8909 Feb 1.0789 +0.7273 0.8487 0.9342 Mar 0.8300 +0.4440 0.5908 0.9489 Apr 0.7977 +0.3366 0.5978 0.9336 May 0.9001 +0.4658 0.7189 0.8604 Jun 1.3635 +1.0185 1.1503 0.8592 Jul 1.4952 +1.1272 1.2696 0.8166 Aug 1.2142 +0.8638 1.0129 0.8698 Sep 0.7362 +0.2231 0.5553 0.9152 Oct 0.6620 -0.1049 0.4921 0.9460 Nov 0.6538 -0.1955 0.4983 0.9331 Dec 0.8082 -0.4389 0.6194 0.9291 -------------------------------------------- All 1.1152 +0.5067 0.8360 0.9031 ================================================================================ Period: 2011 | Model: pyGETM ================================================================================ Analysed: 2026-10-07 13:59:52 --- OSTIA --- RMSE: 1.1152 Bias: +0.5067 MAE: 0.8360 Correlation: 0.9031 N points: 10,685,740 Model mean: 11.3317 Obs mean: 10.8250 Model std: 3.9211 Obs std: 3.8866 Error distribution: Min: -7.8229 5th pct: -0.8018 25th pct: -0.0160 Median: +0.4534 75th pct: +0.8926 95th pct: +1.7141 Max: +8.4514 📄 Download Statistics Report (txt) · 📄 YAML ...

NSe - Experiment CMEMS/v01P

Horizontal Validation results comparing model output against observations. Experiment Information Area: NSe Experiment: CMEMS/v01P Validation Type: Horizontal Validation Variables: SALT_BOTTOM, TEMP_BOTTOM, SALT_SURFACE, TEMP_SURFACE Period: 2010–2013 Overview Metric SALT_BOTTOM / NWS-salinity TEMP_BOTTOM / NWS-bottomT SALT_SURFACE / CCI-SSS TEMP_SURFACE / OSTIA TEMP_SURFACE / CCI-SST TEMP_SURFACE / OISST RMSE 0.6971 1.4277 3.3841 1.0235 1.0134 1.0914 Bias -0.3027 -0.5865 -1.5321 0.0815 0.1903 0.1890 Corr 0.8896 0.9169 0.8908 0.9080 0.9145 0.9076 N points 1,265,376 1,265,376 40,069,386 42,772,236 43,019,271 39,162,105 Horizontal Validation Statistics SALT_BOTTOM Metric NWS-salinity RMSE 0.6971 Bias -0.3027 MAE 0.3791 Corr 0.8896 Model mean 34.4084 Obs mean 34.7111 View Full Statistics Report ################################################################################ SALT_BOTTOM Validation Statistics ################################################################################ Format: 1.1 Created: 2026-10-08 20:11:59 Area: NSe Experiment: CMEMS/v01P ################################################################################ ================================================================================ Period: 2010-2013 | Model: pyGETM ================================================================================ Analysed: 2026-10-08 20:37:04 --- NWS-salinity --- RMSE: 0.6971 Bias: -0.3027 MAE: 0.3791 Correlation: 0.8896 N points: 1,265,376 Model mean: 34.4084 Obs mean: 34.7111 Model std: 1.3446 Obs std: 1.0655 Error distribution: Min: -16.5796 5th pct: -1.3642 25th pct: -0.4245 Median: -0.1510 75th pct: -0.0028 95th pct: +0.1602 Max: +8.8929 Monthly breakdown: Month RMSE Bias MAE Corr -------------------------------------------- Jan 0.6379 -0.2419 0.3419 0.8927 Feb 0.6361 -0.2803 0.3705 0.8950 Mar 0.6865 -0.3041 0.3890 0.8826 Apr 0.6773 -0.3120 0.3933 0.8913 May 0.6346 -0.2988 0.3775 0.8943 Jun 0.6936 -0.3041 0.3820 0.8910 Jul 0.7101 -0.3066 0.3834 0.8920 Aug 0.7107 -0.3183 0.3826 0.9039 Sep 0.7717 -0.3353 0.3948 0.8947 Oct 0.7382 -0.3199 0.3808 0.8991 Nov 0.7186 -0.3003 0.3734 0.8872 Dec 0.7350 -0.3107 0.3800 0.8810 -------------------------------------------- All 0.6971 -0.3027 0.3791 0.8896 ================================================================================ Period: 2010 | Model: pyGETM ================================================================================ Analysed: 2026-10-08 20:37:04 --- NWS-salinity --- RMSE: 0.5176 Bias: -0.2093 MAE: 0.2886 Correlation: 0.9186 N points: 316,344 Model mean: 34.4712 Obs mean: 34.6805 Model std: 1.1958 Obs std: 1.0703 Error distribution: Min: -13.2630 5th pct: -0.9487 25th pct: -0.3140 Median: -0.1237 75th pct: -0.0010 95th pct: +0.1504 Max: +6.7311 ================================================================================ Period: 2011 | Model: pyGETM ================================================================================ Analysed: 2026-10-08 20:37:04 --- NWS-salinity --- RMSE: 0.7867 Bias: -0.3657 MAE: 0.4295 Correlation: 0.8890 N points: 316,344 Model mean: 34.3441 Obs mean: 34.7098 Model std: 1.4523 Obs std: 1.0837 Error distribution: Min: -14.9381 5th pct: -1.7103 25th pct: -0.4376 Median: -0.1632 75th pct: -0.0159 95th pct: +0.1437 Max: +8.4983 ================================================================================ Period: 2012 | Model: pyGETM ================================================================================ Analysed: 2026-10-08 20:37:04 --- NWS-salinity --- RMSE: 0.7846 Bias: -0.3346 MAE: 0.4079 Correlation: 0.8806 N points: 316,344 Model mean: 34.4468 Obs mean: 34.7814 Model std: 1.4133 Obs std: 1.0098 Error distribution: Min: -16.5796 5th pct: -1.6229 25th pct: -0.4299 Median: -0.1581 75th pct: -0.0037 95th pct: +0.1572 Max: +8.8929 ================================================================================ Period: 2013 | Model: pyGETM ================================================================================ Analysed: 2026-10-08 20:37:04 --- NWS-salinity --- RMSE: 0.6646 Bias: -0.3012 MAE: 0.3905 Correlation: 0.8912 N points: 316,344 Model mean: 34.3717 Obs mean: 34.6729 Model std: 1.2980 Obs std: 1.0928 Error distribution: Min: -12.5484 5th pct: -1.2125 25th pct: -0.4990 Median: -0.1618 75th pct: +0.0028 95th pct: +0.1810 Max: +7.1086 📄 Download Statistics Report (txt) · 📄 YAML ...

NSe - WOA/tidal - Tidal Analysis

Harmonic analysis of sea surface elevation compared with satellite products and tide gauge observations. Analysis Summary Analyzed Constituents: K1, K2, M2, N2, O1, P1, Q1, S2 Analysis Date: 2026-10-10 Satellite Product: FES2014/TPXO9 Plots Year 2010 K₁ (lunar-solar diurnal) — model amplitude and phase O₁ (principal lunar diurnal) — model amplitude and phase P₁ (principal solar diurnal) — model amplitude and phase ...

Mle_Comparison

Experiments AMM7 mle_comparison NS mle_comparison

Scenario Analyses

Multi-scenario climate projection results. Experiments NSe CMIP6_raw/GFDL-ESM4-ssp126/run01

Tidal Analyses

Harmonic analysis of tidal constituents compared against satellite tidal products (FES2014, TPXO9) and GESLA tide gauge observations. Experiments AMM7 TPXO9 NSe WOA/tidal CMIP6/tidal CMEMS/tidal

Validation Analyses

Model surface and profile validation against satellite observations and in-situ data (SST, SSS, temperature, salinity). Experiments AMM7 ObsKd NetSW_LW CMEMS_prof CMEMS Baseline NS SSR_STR SSR_SRT SSRD_STRD ObsKd CMEMS Baseline Adaptive_3 Adaptive_2 Adaptive_1 NSe CMEMS/v01P CMEMS/spinup