Mean State

Mean State
Relationships
All Models
Data Information

	Download Data	Period Mean (original grids) [K]	Model Period Mean (intersection) [K]	Benchmark Period Mean (intersection) [K]	Bias [K]	RMSE [K]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	288.
ACCESS-CM2_BARPA	[-]	288.	288.	288.	0.505	1.08	0.541	0.874	0.806	0.963	0.997	0.889
ACCESS-CM2_CCAM	[-]	288.	288.	288.	0.329	0.951	0.334	0.918	0.813	0.978	0.998	0.904
ACCESS-CM2_CMIP6	[-]	288.	288.	288.	0.358	1.07	0.361	0.912	0.788	0.975	1.00	0.893
ACCESS-ESM1-5_BARPA	[-]	289.	289.	288.	1.34	1.61	0.388	0.722	0.814	0.973	0.999	0.865
ACCESS-ESM1-5_CCAM	[-]	289.	289.	288.	1.05	1.30	0.332	0.772	0.838	0.978	1.00	0.885
ACCESS-ESM1-5_CMIP6	[-]	289.	289.	288.	1.30	1.50	0.413	0.731	0.836	0.972	0.997	0.874
CESM2_BARPA	[-]	288.	288.	288.	0.239	1.23	0.454	0.830	0.804	0.954	0.970	0.872
CESM2_CCAM	[-]	287.	287.	288.	-0.268	0.889	0.278	0.923	0.835	0.981	0.995	0.914
CMCC-ESM2_BARPA	[-]	288.	288.	288.	0.704	1.42	0.363	0.810	0.780	0.973	0.975	0.864
CMCC-ESM2_CCAM	[-]	288.	288.	288.	-0.0549	0.659	0.239	0.947	0.871	0.984	1.00	0.935
CMCC-ESM2_CMIP6	[-]	288.	288.	288.	-0.110	0.730	0.429	0.922	0.865	0.961	1.00	0.922
CNRM-ESM2-1_CCAM	[-]	286.	286.	288.	-1.29	1.50	0.701	0.729	0.876	0.953	0.962	0.879
CNRM-ESM2-1_CMIP6	[-]	287.	287.	288.	-0.770	1.09	0.645	0.807	0.877	0.958	0.979	0.900
EC-Earth3_BARPA	[-]	289.	289.	288.	1.38	1.64	0.247	0.730	0.817	0.981	0.998	0.869
EC-Earth3_CCAM	[-]	289.	289.	288.	0.909	1.31	0.215	0.776	0.879	0.983	0.961	0.896
EC-Earth3_CMIP6	[-]	288.	288.	288.	0.769	1.26	0.378	0.800	0.855	0.969	0.965	0.889
ERA5_BARPA	[-]	288.	288.	288.	0.264	0.695	0.288	0.912	0.877	0.975	0.995	0.927
ERA5_CCAM	[-]	288.	288.	288.	0.0753	0.305	0.0672	0.940	0.963	0.995	0.999	0.972
MPI-ESM1-2-HR_BARPA	[-]	288.	288.	288.	0.720	1.10	0.340	0.835	0.830	0.977	0.994	0.893
NorESM2-MM_BARPA	[-]	288.	288.	288.	-0.185	1.38	0.390	0.835	0.779	0.967	0.981	0.868
NorESM2-MM_CCAM	[-]	286.	286.	288.	-1.54	1.67	0.325	0.690	0.868	0.978	1.00	0.881
NorESM2-MM_CMIP6	[-]	286.	286.	288.	-1.26	1.41	0.350	0.740	0.864	0.977	0.998	0.889

	Download Data	Period Mean (original grids) [K]	Model Period Mean (intersection) [K]	Benchmark Period Mean (intersection) [K]	Bias [K]	RMSE [K]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	285.
ACCESS-CM2_BARPA	[-]	285.	285.	285.	0.482	0.985	0.00	0.898	0.827	1.00	0.997	0.919
ACCESS-CM2_CCAM	[-]	285.	285.	285.	0.503	0.844	0.00	0.895	0.862	1.00	0.998	0.930
ACCESS-CM2_CMIP6	[-]	285.	285.	284.	0.520	1.00	0.00	0.894	0.831	1.00	0.998	0.920
ACCESS-ESM1-5_BARPA	[-]	286.	286.	285.	1.41	1.64	0.00	0.731	0.831	1.00	1.00	0.884
ACCESS-ESM1-5_CCAM	[-]	286.	286.	285.	1.39	1.48	0.00237	0.735	0.896	1.00	0.999	0.906
ACCESS-ESM1-5_CMIP6	[-]	286.	286.	284.	1.51	1.60	0.177	0.718	0.894	0.988	0.990	0.897
CESM2_BARPA	[-]	285.	285.	285.	0.111	0.973	0.0444	0.953	0.812	0.997	0.966	0.919
CESM2_CCAM	[-]	285.	285.	285.	0.136	0.872	0.00	0.967	0.828	1.00	0.994	0.934
CMCC-ESM2_BARPA	[-]	285.	285.	285.	0.566	1.06	0.00	0.881	0.822	1.00	0.982	0.910
CMCC-ESM2_CCAM	[-]	285.	285.	285.	-0.0465	0.472	0.00	0.977	0.905	1.00	0.993	0.962
CMCC-ESM2_CMIP6	[-]	284.	284.	285.	-0.233	0.481	0.00	0.948	0.920	1.00	0.999	0.962
CNRM-ESM2-1_CCAM	[-]	284.	284.	285.	-0.960	1.24	0.774	0.806	0.851	0.950	0.915	0.877
CNRM-ESM2-1_CMIP6	[-]	284.	284.	285.	-0.498	0.967	0.916	0.888	0.845	0.941	0.896	0.887
EC-Earth3_BARPA	[-]	286.	286.	285.	1.52	1.69	0.00	0.714	0.849	1.00	0.994	0.885
EC-Earth3_CCAM	[-]	286.	286.	285.	1.34	1.45	0.00	0.745	0.886	1.00	0.965	0.897
EC-Earth3_CMIP6	[-]	286.	286.	285.	1.28	1.47	0.0373	0.755	0.854	0.997	0.948	0.885
ERA5_BARPA	[-]	285.	285.	285.	0.205	0.614	0.00	0.951	0.883	1.00	0.987	0.947
ERA5_CCAM	[-]	285.	285.	285.	0.0218	0.143	0.00	0.976	0.982	1.00	1.00	0.989
MPI-ESM1-2-HR_BARPA	[-]	286.	286.	285.	0.930	1.27	0.00	0.813	0.826	1.00	0.990	0.898
NorESM2-MM_BARPA	[-]	284.	284.	285.	-0.288	1.13	0.0125	0.940	0.788	0.999	0.979	0.911
NorESM2-MM_CCAM	[-]	283.	283.	285.	-1.42	1.56	0.00	0.729	0.866	1.00	0.999	0.895
NorESM2-MM_CMIP6	[-]	283.	283.	285.	-1.21	1.30	0.00	0.764	0.904	1.00	0.995	0.914

	Download Data	Period Mean (original grids) [K]	Model Period Mean (intersection) [K]	Benchmark Period Mean (intersection) [K]	Bias [K]	RMSE [K]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	285.
ACCESS-CM2_BARPA	[-]	286.	286.	285.	0.399	0.754	0.0412	0.894	0.839	0.997	0.996	0.927
ACCESS-CM2_CCAM	[-]	286.	286.	285.	0.295	0.672	0.00	0.920	0.846	1.00	0.999	0.935
ACCESS-CM2_CMIP6	[-]	286.	286.	285.	0.406	0.848	0.00	0.893	0.814	1.00	0.998	0.918
ACCESS-ESM1-5_BARPA	[-]	286.	286.	285.	1.17	1.34	0.438	0.722	0.831	0.972	1.00	0.879
ACCESS-ESM1-5_CCAM	[-]	286.	286.	285.	1.12	1.25	0.134	0.731	0.860	0.991	0.996	0.895
ACCESS-ESM1-5_CMIP6	[-]	287.	287.	285.	1.39	1.53	0.452	0.677	0.838	0.970	0.998	0.867
CESM2_BARPA	[-]	285.	286.	285.	0.246	0.814	0.618	0.886	0.831	0.960	0.954	0.907
CESM2_CCAM	[-]	285.	285.	285.	0.0266	0.655	0.171	0.962	0.839	0.989	0.996	0.938
CMCC-ESM2_BARPA	[-]	286.	286.	285.	0.472	0.819	0.00	0.876	0.841	1.00	0.970	0.922
CMCC-ESM2_CCAM	[-]	285.	285.	285.	-0.118	0.428	0.0246	0.957	0.899	0.998	0.993	0.956
CMCC-ESM2_CMIP6	[-]	285.	285.	285.	-0.375	0.523	0.194	0.900	0.909	0.988	1.00	0.946
CNRM-ESM2-1_CCAM	[-]	284.	284.	285.	-1.50	1.67	0.332	0.659	0.839	0.979	0.909	0.842
CNRM-ESM2-1_CMIP6	[-]	284.	284.	285.	-1.10	1.36	0.798	0.731	0.845	0.949	0.863	0.855
EC-Earth3_BARPA	[-]	286.	286.	285.	1.04	1.19	0.0103	0.751	0.853	0.999	1.00	0.896
EC-Earth3_CCAM	[-]	286.	286.	285.	0.842	0.983	0.0292	0.797	0.874	0.998	0.969	0.902
EC-Earth3_CMIP6	[-]	286.	286.	285.	0.803	1.07	0.364	0.809	0.834	0.976	0.947	0.886
ERA5_BARPA	[-]	285.	285.	285.	0.152	0.472	0.00	0.921	0.907	1.00	0.977	0.951
ERA5_CCAM	[-]	285.	285.	285.	-0.135	0.167	0.00	0.962	0.976	1.00	1.00	0.982
MPI-ESM1-2-HR_BARPA	[-]	286.	286.	285.	0.651	0.871	0.140	0.837	0.855	0.991	0.997	0.916
NorESM2-MM_BARPA	[-]	285.	285.	285.	-0.0380	0.865	0.00	0.901	0.816	1.00	0.950	0.911
NorESM2-MM_CCAM	[-]	284.	284.	285.	-1.42	1.50	0.00	0.673	0.878	1.00	0.996	0.885
NorESM2-MM_CMIP6	[-]	284.	284.	285.	-1.20	1.28	0.00	0.720	0.884	1.00	0.994	0.897

	Download Data	Period Mean (original grids) [K]	Model Period Mean (intersection) [K]	Benchmark Period Mean (intersection) [K]	Bias [K]	RMSE [K]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	291.
ACCESS-CM2_BARPA	[-]	292.	292.	291.	0.903	1.18	0.809	0.714	0.762	0.943	0.996	0.848
ACCESS-CM2_CCAM	[-]	291.	291.	291.	0.192	0.881	0.710	0.917	0.735	0.952	0.992	0.883
ACCESS-CM2_CMIP6	[-]	292.	292.	291.	0.480	1.08	0.811	0.838	0.710	0.946	0.997	0.863
ACCESS-ESM1-5_BARPA	[-]	292.	292.	291.	1.40	1.57	0.698	0.597	0.780	0.948	1.00	0.829
ACCESS-ESM1-5_CCAM	[-]	292.	292.	291.	1.18	1.37	0.615	0.648	0.780	0.959	0.998	0.843
ACCESS-ESM1-5_CMIP6	[-]	292.	292.	291.	1.20	1.44	0.596	0.644	0.751	0.960	1.00	0.832
CESM2_BARPA	[-]	292.	292.	291.	1.38	1.61	1.56	0.601	0.750	0.824	0.987	0.792
CESM2_CCAM	[-]	291.	291.	291.	0.109	0.750	0.618	0.935	0.773	0.959	0.998	0.905
CMCC-ESM2_BARPA	[-]	293.	293.	291.	1.53	1.80	0.896	0.573	0.717	0.931	0.979	0.798
CMCC-ESM2_CCAM	[-]	291.	291.	291.	-0.283	0.534	0.272	0.890	0.864	0.982	0.987	0.930
CMCC-ESM2_CMIP6	[-]	291.	291.	291.	-0.448	0.716	0.720	0.851	0.833	0.942	0.990	0.899
CNRM-ESM2-1_CCAM	[-]	289.	289.	291.	-2.32	2.35	0.632	0.429	0.874	0.955	1.00	0.820
CNRM-ESM2-1_CMIP6	[-]	290.	290.	291.	-1.53	1.58	0.549	0.573	0.867	0.964	0.974	0.845
EC-Earth3_BARPA	[-]	292.	292.	291.	0.893	1.24	0.945	0.728	0.737	0.931	1.00	0.838
EC-Earth3_CCAM	[-]	291.	291.	291.	-0.517	0.751	0.0911	0.804	0.852	0.993	0.955	0.900
EC-Earth3_CMIP6	[-]	291.	291.	291.	-0.490	0.813	0.357	0.825	0.809	0.975	0.971	0.890
ERA5_BARPA	[-]	292.	292.	291.	0.675	0.837	1.13	0.779	0.845	0.899	0.999	0.880
ERA5_CCAM	[-]	291.	291.	291.	-0.320	0.361	0.0682	0.883	0.951	0.995	0.998	0.957
MPI-ESM1-2-HR_BARPA	[-]	292.	292.	291.	0.812	1.13	0.622	0.748	0.756	0.959	0.989	0.854
NorESM2-MM_BARPA	[-]	292.	292.	291.	1.05	1.37	1.20	0.677	0.752	0.887	1.00	0.815
NorESM2-MM_CCAM	[-]	290.	290.	291.	-1.43	1.47	0.635	0.594	0.877	0.958	0.999	0.859
NorESM2-MM_CMIP6	[-]	290.	290.	291.	-1.07	1.18	0.895	0.679	0.841	0.940	0.994	0.862

	Download Data	Period Mean (original grids) [K]	Model Period Mean (intersection) [K]	Benchmark Period Mean (intersection) [K]	Bias [K]	RMSE [K]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	282.
ACCESS-CM2_BARPA	[-]	282.	282.	282.	0.218	0.916	0.452	0.954	0.827	0.971	0.985	0.922
ACCESS-CM2_CCAM	[-]	282.	282.	282.	0.475	1.01	0.559	0.902	0.827	0.964	0.976	0.907
ACCESS-CM2_CMIP6	[-]	282.	282.	282.	0.372	1.00	0.392	0.923	0.820	0.975	0.965	0.910
ACCESS-ESM1-5_BARPA	[-]	283.	283.	282.	1.20	1.60	0.405	0.772	0.798	0.974	0.972	0.870
ACCESS-ESM1-5_CCAM	[-]	283.	283.	282.	1.20	1.49	0.149	0.773	0.830	0.990	0.954	0.880
ACCESS-ESM1-5_CMIP6	[-]	283.	283.	282.	1.64	1.78	0.00	0.702	0.861	1.00	0.989	0.885
CESM2_BARPA	[-]	281.	281.	282.	-0.722	1.26	0.158	0.855	0.806	0.990	0.953	0.890
CESM2_CCAM	[-]	281.	281.	282.	-0.735	1.28	0.135	0.853	0.811	0.991	0.911	0.883
CMCC-ESM2_BARPA	[-]	281.	281.	282.	-0.152	0.913	0.189	0.938	0.836	0.988	0.945	0.917
CMCC-ESM2_CCAM	[-]	281.	281.	282.	-0.170	0.704	0.158	0.960	0.868	0.990	0.972	0.939
CMCC-ESM2_CMIP6	[-]	281.	281.	282.	-0.391	0.756	0.0774	0.918	0.877	0.995	0.953	0.929
CNRM-ESM2-1_CCAM	[-]	281.	282.	282.	-0.123	0.706	0.825	0.971	0.864	0.947	0.997	0.936
CNRM-ESM2-1_CMIP6	[-]	282.	282.	282.	0.181	0.667	0.761	0.962	0.871	0.951	0.998	0.937
EC-Earth3_BARPA	[-]	283.	283.	282.	1.62	1.78	0.0320	0.704	0.856	0.998	0.994	0.884
EC-Earth3_CCAM	[-]	283.	283.	282.	1.83	1.91	0.0401	0.673	0.890	0.997	0.998	0.890
EC-Earth3_CMIP6	[-]	283.	283.	282.	1.62	1.71	0.128	0.704	0.886	0.992	0.999	0.894
ERA5_BARPA	[-]	282.	282.	282.	-0.112	0.548	0.0546	0.971	0.895	0.996	0.992	0.956
ERA5_CCAM	[-]	282.	282.	282.	0.239	0.307	0.0868	0.947	0.963	0.994	0.994	0.974
MPI-ESM1-2-HR_BARPA	[-]	282.	282.	282.	0.217	0.935	0.158	0.942	0.828	0.990	0.937	0.913
NorESM2-MM_BARPA	[-]	281.	281.	282.	-0.800	1.21	0.804	0.840	0.830	0.948	0.981	0.892
NorESM2-MM_CCAM	[-]	280.	280.	282.	-1.44	1.69	0.427	0.731	0.830	0.973	0.990	0.875
NorESM2-MM_CMIP6	[-]	280.	280.	282.	-1.50	1.70	0.647	0.722	0.842	0.958	0.982	0.872

	Download Data	Period Mean (original grids) [K]	Model Period Mean (intersection) [K]	Benchmark Period Mean (intersection) [K]	Bias [K]	RMSE [K]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	288.
ACCESS-CM2_BARPA	[-]	289.	289.	288.	0.465	1.13	0.517	0.907	0.813	0.966	0.998	0.913
ACCESS-CM2_CCAM	[-]	289.	289.	288.	0.331	0.994	0.226	0.926	0.832	0.985	0.991	0.925
ACCESS-CM2_CMIP6	[-]	289.	289.	288.	0.317	1.12	0.237	0.933	0.804	0.984	0.999	0.921
ACCESS-ESM1-5_BARPA	[-]	290.	290.	288.	1.37	1.66	0.288	0.754	0.827	0.981	1.00	0.886
ACCESS-ESM1-5_CCAM	[-]	289.	289.	288.	0.996	1.27	0.322	0.814	0.858	0.978	0.999	0.909
ACCESS-ESM1-5_CMIP6	[-]	290.	290.	288.	1.22	1.44	0.421	0.779	0.860	0.972	0.994	0.898
CESM2_BARPA	[-]	289.	289.	288.	0.142	1.17	0.154	0.895	0.815	0.985	0.969	0.911
CESM2_CCAM	[-]	288.	288.	288.	-0.309	0.863	0.212	0.935	0.859	0.986	0.997	0.937
CMCC-ESM2_BARPA	[-]	289.	289.	288.	0.718	1.50	0.241	0.853	0.777	0.982	0.971	0.890
CMCC-ESM2_CCAM	[-]	289.	289.	288.	0.0611	0.716	0.218	0.966	0.870	0.985	0.999	0.949
CMCC-ESM2_CMIP6	[-]	289.	289.	288.	0.0964	0.737	0.371	0.954	0.870	0.963	1.00	0.941
CNRM-ESM2-1_CCAM	[-]	287.	287.	288.	-1.19	1.40	0.742	0.785	0.888	0.952	0.937	0.895
CNRM-ESM2-1_CMIP6	[-]	288.	288.	289.	-0.729	1.03	0.627	0.852	0.889	0.959	0.965	0.918
EC-Earth3_BARPA	[-]	290.	290.	288.	1.51	1.76	0.0826	0.735	0.833	0.992	0.998	0.885
EC-Earth3_CCAM	[-]	290.	290.	288.	1.11	1.34	0.307	0.801	0.891	0.976	0.945	0.904
EC-Earth3_CMIP6	[-]	289.	289.	288.	0.918	1.27	0.450	0.826	0.869	0.960	0.961	0.904
ERA5_BARPA	[-]	289.	289.	288.	0.256	0.726	0.102	0.941	0.876	0.990	0.995	0.947
ERA5_CCAM	[-]	289.	289.	288.	0.187	0.307	0.0573	0.953	0.965	0.995	0.998	0.977
MPI-ESM1-2-HR_BARPA	[-]	289.	289.	288.	0.862	1.16	0.285	0.837	0.855	0.981	0.997	0.914
NorESM2-MM_BARPA	[-]	288.	288.	288.	-0.420	1.49	0.159	0.884	0.765	0.987	0.983	0.895
NorESM2-MM_CCAM	[-]	287.	287.	288.	-1.63	1.76	0.255	0.716	0.875	0.983	1.00	0.892
NorESM2-MM_CMIP6	[-]	287.	287.	288.	-1.26	1.44	0.181	0.773	0.871	0.988	0.998	0.904

	Download Data	Period Mean (original grids) [K]	Model Period Mean (intersection) [K]	Benchmark Period Mean (intersection) [K]	Bias [K]	RMSE [K]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	279.
ACCESS-CM2_BARPA	[-]	279.	279.	279.	-0.0681	0.550	0.155	0.964	0.864	0.990	0.996	0.948
ACCESS-CM2_CCAM	[-]	279.	279.	279.	0.0529	0.629	0.225	0.955	0.845	0.986	0.994	0.940
ACCESS-CM2_CMIP6	[-]	279.	279.	279.	0.00246	0.688	0.111	0.956	0.833	0.993	0.994	0.895
ACCESS-ESM1-5_BARPA	[-]	280.	280.	279.	0.747	1.01	0.175	0.815	0.832	0.989	0.982	0.901
ACCESS-ESM1-5_CCAM	[-]	280.	280.	279.	0.564	0.849	0.108	0.862	0.846	0.993	0.975	0.918
ACCESS-ESM1-5_CMIP6	[-]	280.	280.	279.	1.34	1.48	0.00	0.684	0.842	1.00	0.991	0.871
CESM2_BARPA	[-]	278.	278.	279.	-1.20	1.40	0.364	0.707	0.824	0.977	0.981	0.863
CESM2_CCAM	[-]	278.	278.	279.	-1.37	1.61	0.302	0.676	0.809	0.981	0.938	0.840
CMCC-ESM2_BARPA	[-]	278.	278.	279.	-0.637	0.798	0.453	0.830	0.890	0.971	0.984	0.908
CMCC-ESM2_CCAM	[-]	278.	278.	279.	-0.621	0.759	0.637	0.834	0.901	0.959	0.989	0.914
CMCC-ESM2_CMIP6	[-]	278.	278.	279.	-0.848	0.950	0.487	0.787	0.901	0.969	0.984	0.903
CNRM-ESM2-1_CCAM	[-]	279.	279.	279.	-0.442	0.664	0.296	0.879	0.879	0.981	0.997	0.930
CNRM-ESM2-1_CMIP6	[-]	278.	278.	278.	-0.204	0.513	0.228	0.933	0.878	0.985	0.993	0.945
EC-Earth3_BARPA	[-]	280.	280.	279.	1.28	1.37	0.0839	0.693	0.878	0.995	1.00	0.887
EC-Earth3_CCAM	[-]	281.	281.	279.	1.56	1.61	0.125	0.641	0.894	0.992	1.00	0.878
EC-Earth3_CMIP6	[-]	280.	280.	279.	1.52	1.58	0.0794	0.649	0.890	0.995	1.00	0.882
ERA5_BARPA	[-]	279.	279.	279.	-0.328	0.430	0.0617	0.910	0.931	0.996	1.00	0.956
ERA5_CCAM	[-]	279.	279.	279.	0.0640	0.160	0.0813	0.967	0.975	0.995	0.998	0.982
MPI-ESM1-2-HR_BARPA	[-]	279.	279.	279.	-0.420	0.831	0.604	0.867	0.839	0.961	0.964	0.897
NorESM2-MM_BARPA	[-]	278.	278.	279.	-1.02	1.10	0.289	0.747	0.894	0.981	0.999	0.900
NorESM2-MM_CCAM	[-]	277.	277.	279.	-1.64	1.76	0.269	0.625	0.845	0.983	0.998	0.858
NorESM2-MM_CMIP6	[-]	278.	278.	279.	-1.73	1.82	0.317	0.617	0.859	0.980	1.00	0.858

	Download Data	Period Mean (original grids) [K]	Model Period Mean (intersection) [K]	Benchmark Period Mean (intersection) [K]	Bias [K]	RMSE [K]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	283.
ACCESS-CM2_BARPA	[-]	284.	284.	283.	0.284	1.07	0.660	0.942	0.802	0.958	0.997	0.917
ACCESS-CM2_CCAM	[-]	284.	284.	283.	0.645	1.17	0.541	0.871	0.809	0.965	1.00	0.902
ACCESS-CM2_CMIP6	[-]	284.	284.	283.	0.506	1.20	0.518	0.896	0.790	0.967	1.00	0.906
ACCESS-ESM1-5_BARPA	[-]	285.	285.	283.	1.36	1.76	0.434	0.748	0.786	0.972	0.993	0.870
ACCESS-ESM1-5_CCAM	[-]	284.	284.	283.	0.966	1.37	0.266	0.813	0.811	0.983	0.998	0.892
ACCESS-ESM1-5_CMIP6	[-]	285.	285.	283.	1.85	2.04	0.578	0.669	0.829	0.963	1.00	0.866
CESM2_BARPA	[-]	283.	283.	283.	-0.779	1.19	0.249	0.843	0.835	0.984	0.983	0.905
CESM2_CCAM	[-]	283.	283.	283.	-0.594	1.17	0.268	0.879	0.828	0.983	0.970	0.905
CMCC-ESM2_BARPA	[-]	283.	283.	283.	-0.221	1.03	0.520	0.925	0.823	0.967	0.972	0.915
CMCC-ESM2_CCAM	[-]	283.	283.	283.	-0.0585	0.773	0.423	0.968	0.852	0.973	0.993	0.938
CMCC-ESM2_CMIP6	[-]	283.	283.	283.	-0.125	0.842	0.564	0.941	0.850	0.964	0.978	0.926
CNRM-ESM2-1_CCAM	[-]	283.	283.	283.	-0.424	0.872	0.635	0.918	0.858	0.959	0.977	0.928
CNRM-ESM2-1_CMIP6	[-]	283.	283.	283.	0.0399	0.613	0.709	0.953	0.889	0.955	0.985	0.942
EC-Earth3_BARPA	[-]	285.	285.	283.	1.90	2.13	0.221	0.665	0.814	0.986	0.998	0.869
EC-Earth3_CCAM	[-]	286.	286.	283.	2.19	2.32	0.0572	0.624	0.846	0.996	1.00	0.869
EC-Earth3_CMIP6	[-]	285.	285.	283.	1.94	2.07	0.191	0.657	0.861	0.988	0.998	0.879
ERA5_BARPA	[-]	283.	283.	283.	-0.188	0.529	0.291	0.959	0.901	0.981	0.999	0.956
ERA5_CCAM	[-]	284.	284.	283.	0.306	0.391	0.169	0.937	0.949	0.989	1.00	0.969
MPI-ESM1-2-HR_BARPA	[-]	283.	284.	283.	0.146	0.939	0.323	0.961	0.823	0.979	0.993	0.930
NorESM2-MM_BARPA	[-]	282.	282.	283.	-0.958	1.27	0.301	0.813	0.846	0.981	0.996	0.899
NorESM2-MM_CCAM	[-]	282.	282.	283.	-1.47	1.70	0.344	0.728	0.834	0.978	0.995	0.878
NorESM2-MM_CMIP6	[-]	282.	282.	283.	-1.48	1.63	0.504	0.724	0.875	0.968	0.988	0.882

	Download Data	Period Mean (original grids) [K]	Model Period Mean (intersection) [K]	Benchmark Period Mean (intersection) [K]	Bias [K]	RMSE [K]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	290.
ACCESS-CM2_BARPA	[-]	291.	291.	290.	0.688	0.890	1.50	0.690	0.754	0.826	0.960	0.802
ACCESS-CM2_CCAM	[-]	290.	290.	290.	0.171	0.716	0.531	0.861	0.714	0.942	0.961	0.852
ACCESS-CM2_CMIP6	[-]	290.	290.	290.	0.110	0.782	1.63	0.943	0.683	0.823	0.980	0.838
ACCESS-ESM1-5_BARPA	[-]	291.	291.	290.	1.21	1.33	1.37	0.525	0.766	0.850	0.985	0.780
ACCESS-ESM1-5_CCAM	[-]	291.	291.	290.	1.21	1.39	0.303	0.525	0.719	0.970	0.969	0.787
ACCESS-ESM1-5_CMIP6	[-]	291.	291.	290.	1.15	1.40	0.415	0.561	0.674	0.972	0.997	0.787
CESM2_BARPA	[-]	291.	291.	290.	0.965	1.09	1.61	0.599	0.783	0.825	0.967	0.792
CESM2_CCAM	[-]	290.	290.	290.	-0.0375	0.517	0.455	0.933	0.776	0.963	0.982	0.898
CMCC-ESM2_BARPA	[-]	291.	291.	290.	0.871	1.01	0.797	0.631	0.781	0.928	0.977	0.824
CMCC-ESM2_CCAM	[-]	290.	290.	290.	-0.249	0.356	0.769	0.883	0.880	0.941	0.996	0.920
CMCC-ESM2_CMIP6	[-]	289.	289.	290.	-0.731	0.917	1.79	0.677	0.738	0.792	0.996	0.794
CNRM-ESM2-1_CCAM	[-]	287.	287.	290.	-2.51	2.56	1.14	0.270	0.773	0.895	0.974	0.733
CNRM-ESM2-1_CMIP6	[-]	288.	288.	290.	-2.00	2.08	0.862	0.322	0.722	0.942	0.595	0.654
EC-Earth3_BARPA	[-]	290.	290.	290.	0.227	0.703	0.972	0.895	0.712	0.935	0.990	0.864
EC-Earth3_CCAM	[-]	289.	289.	290.	-0.513	0.678	0.555	0.757	0.803	0.959	0.983	0.867
EC-Earth3_CMIP6	[-]	290.	290.	290.	-0.450	0.727	0.927	0.786	0.749	0.938	0.994	0.854
ERA5_BARPA	[-]	290.	290.	290.	0.427	0.468	0.612	0.796	0.915	0.952	0.996	0.915
ERA5_CCAM	[-]	290.	290.	290.	-0.275	0.319	0.267	0.872	0.930	0.982	0.996	0.943
MPI-ESM1-2-HR_BARPA	[-]	290.	290.	290.	0.0600	0.659	0.866	0.889	0.723	0.910	0.984	0.860
NorESM2-MM_BARPA	[-]	291.	291.	290.	0.980	1.04	0.901	0.593	0.841	0.933	0.982	0.838
NorESM2-MM_CCAM	[-]	289.	289.	290.	-1.06	1.11	0.858	0.575	0.839	0.942	0.983	0.836
NorESM2-MM_CMIP6	[-]	289.	289.	290.	-1.17	1.25	0.923	0.527	0.792	0.938	0.995	0.811

	Download Data	Period Mean (original grids) [K]	Model Period Mean (intersection) [K]	Benchmark Period Mean (intersection) [K]	Model Period Mean (complement) [K]	Benchmark Period Mean (complement) [K]	Bias [K]	RMSE [K]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	286.
ACCESS-CM2_BARPA	[-]	286.	286.	286.		290.	0.456	0.764	0.842	0.653	0.713	0.899	0.999	0.796
ACCESS-CM2_CCAM	[-]	286.	286.	286.		284.	0.119	0.664	0.785	0.737	0.675	0.904	1.00	0.798
ACCESS-CM2_CMIP6	[-]	286.	286.	286.	286.		0.441	0.800	0.737	0.645	0.687	0.913	0.999	0.786
ACCESS-ESM1-5_BARPA	[-]	287.	287.	286.		290.	1.06	1.19	0.906	0.478	0.710	0.880	1.00	0.755
ACCESS-ESM1-5_CCAM	[-]	287.	287.	286.		284.	0.732	0.965	0.870	0.601	0.674	0.889	1.00	0.768
ACCESS-ESM1-5_CMIP6	[-]	287.	287.	286.	286.		1.29	1.39	0.996	0.423	0.706	0.869	1.00	0.740
CESM2_BARPA	[-]	286.	286.	286.		290.	0.231	1.18	0.938	0.532	0.674	0.877	0.985	0.748
CESM2_CCAM	[-]	285.	285.	286.		284.	-0.462	0.934	1.06	0.632	0.724	0.857	0.990	0.785
CMCC-ESM2_BARPA	[-]	286.	286.	286.		290.	0.379	1.11	1.02	0.541	0.713	0.862	0.988	0.763
CMCC-ESM2_CCAM	[-]	285.	285.	286.		284.	-0.365	0.660	0.882	0.718	0.790	0.885	0.997	0.836
CMCC-ESM2_CMIP6	[-]	285.	286.	286.	284.		-0.347	0.673	1.08	0.747	0.783	0.850	0.995	0.831
CNRM-ESM2-1_CCAM	[-]	284.	284.	286.		284.	-1.73	1.86	0.850	0.399	0.715	0.897	0.992	0.743
CNRM-ESM2-1_CMIP6	[-]	285.	285.	286.	282.		-1.17	1.36	0.805	0.471	0.736	0.902	0.991	0.767
EC-Earth3_BARPA	[-]	287.	287.	286.		290.	0.902	1.14	0.748	0.571	0.694	0.899	0.994	0.770
EC-Earth3_CCAM	[-]	286.	286.	286.		284.	0.427	0.986	0.569	0.615	0.747	0.934	0.983	0.805
EC-Earth3_CMIP6	[-]	286.	286.	286.	285.		0.575	0.957	0.676	0.677	0.769	0.906	0.982	0.821
ERA5_BARPA	[-]	286.	286.	286.		290.	0.0789	0.388	0.497	0.746	0.873	0.935	0.998	0.885
ERA5_CCAM	[-]	286.	286.	286.		284.	-0.216	0.324	0.443	0.756	0.882	0.939	1.00	0.892
MPI-ESM1-2-HR_BARPA	[-]	286.	286.	286.		290.	0.230	0.865	1.10	0.621	0.675	0.855	0.995	0.765
NorESM2-MM_BARPA	[-]	286.	286.	286.		290.	0.173	0.958	0.790	0.567	0.721	0.900	0.994	0.781
NorESM2-MM_CCAM	[-]	285.	285.	286.		284.	-1.18	1.28	0.725	0.451	0.744	0.914	0.999	0.770
NorESM2-MM_CMIP6	[-]	285.	285.	286.	283.		-1.09	1.18	0.765	0.477	0.764	0.907	1.00	0.782

	Download Data	Period Mean (original grids) [K]	Model Period Mean (intersection) [K]	Benchmark Period Mean (intersection) [K]	Model Period Mean (complement) [K]	Benchmark Period Mean (complement) [K]	Bias [K]	RMSE [K]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	291.
ACCESS-CM2_BARPA	[-]	292.	292.	291.		291.	0.855	0.952	1.58	0.284	0.596	0.791	0.803	0.614
ACCESS-CM2_CCAM	[-]	291.	291.	291.		291.	0.309	0.647	1.47	0.521	0.518	0.810	0.766	0.627
ACCESS-CM2_CMIP6	[-]	292.	292.	291.			0.766	0.940	1.31	0.315	0.538	0.841	0.822	0.611
ACCESS-ESM1-5_BARPA	[-]	292.	292.	291.		291.	1.19	1.24	1.88	0.174	0.590	0.722	0.947	0.604
ACCESS-ESM1-5_CCAM	[-]	292.	292.	291.		291.	0.847	0.991	1.69	0.299	0.524	0.770	0.773	0.578
ACCESS-ESM1-5_CMIP6	[-]	292.	292.	291.			1.21	1.27	1.84	0.175	0.569	0.741	0.939	0.598
CESM2_BARPA	[-]	292.	292.	291.		291.	1.05	1.25	1.61	0.259	0.510	0.781	0.492	0.510
CESM2_CCAM	[-]	291.	291.	291.		291.	0.149	0.634	1.90	0.488	0.597	0.731	0.553	0.593
CMCC-ESM2_BARPA	[-]	292.	292.	291.		291.	1.04	1.14	1.49	0.243	0.617	0.776	0.697	0.590
CMCC-ESM2_CCAM	[-]	291.	291.	291.		291.	0.0201	0.373	1.19	0.655	0.710	0.828	0.766	0.734
CMCC-ESM2_CMIP6	[-]	291.	291.	291.	291.		0.0502	0.358	1.61	0.692	0.693	0.756	0.878	0.742
CNRM-ESM2-1_CCAM	[-]	289.	289.	291.		291.	-2.17	2.21	1.32	0.0681	0.602	0.828	0.788	0.577
CNRM-ESM2-1_CMIP6	[-]	289.	289.	291.	289.		-1.75	1.78	1.19	0.101	0.645	0.840	0.983	0.643
EC-Earth3_BARPA	[-]	291.	291.	291.		291.	0.338	0.608	1.50	0.544	0.555	0.776	0.785	0.643
EC-Earth3_CCAM	[-]	291.	291.	291.		291.	-0.316	0.477	0.899	0.628	0.646	0.886	0.821	0.725
EC-Earth3_CMIP6	[-]	291.	291.	291.	291.		-0.220	0.354	1.12	0.714	0.698	0.822	0.938	0.774
ERA5_BARPA	[-]	291.	291.	291.		291.	0.362	0.408	0.937	0.525	0.796	0.865	0.928	0.782
ERA5_CCAM	[-]	291.	291.	291.		291.	-0.263	0.354	0.875	0.652	0.774	0.871	0.825	0.779
MPI-ESM1-2-HR_BARPA	[-]	292.	292.	291.		291.	0.528	0.775	1.61	0.416	0.487	0.769	0.769	0.586
NorESM2-MM_BARPA	[-]	292.	292.	291.		291.	0.889	1.02	1.41	0.285	0.574	0.806	0.667	0.581
NorESM2-MM_CCAM	[-]	290.	290.	291.		291.	-0.797	0.899	1.09	0.296	0.592	0.863	0.798	0.628
NorESM2-MM_CMIP6	[-]	290.	290.	291.	290.		-0.807	0.878	1.22	0.316	0.638	0.841	0.790	0.645

	Download Data	Period Mean (original grids) [K]	Model Period Mean (intersection) [K]	Benchmark Period Mean (intersection) [K]	Bias [K]	RMSE [K]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	285.
ACCESS-CM2_BARPA	[-]	285.	285.	285.	0.482	0.985	0.00	0.898	0.827	1.00	0.997	0.910
ACCESS-CM2_CCAM	[-]	285.	285.	285.	0.503	0.844	0.00	0.895	0.862	1.00	0.998	0.923
ACCESS-CM2_CMIP6	[-]	285.	285.	284.	0.520	1.00	0.00	0.894	0.831	1.00	0.998	0.911
ACCESS-ESM1-5_BARPA	[-]	286.	286.	285.	1.41	1.64	0.00	0.731	0.831	1.00	1.00	0.879
ACCESS-ESM1-5_CCAM	[-]	286.	286.	285.	1.39	1.48	0.00237	0.735	0.896	1.00	0.999	0.905
ACCESS-ESM1-5_CMIP6	[-]	286.	286.	284.	1.51	1.60	0.177	0.718	0.894	0.988	0.990	0.897
CESM2_BARPA	[-]	285.	285.	285.	0.111	0.973	0.0444	0.953	0.812	0.997	0.966	0.908
CESM2_CCAM	[-]	285.	285.	285.	0.136	0.872	0.00	0.967	0.828	1.00	0.994	0.923
CMCC-ESM2_BARPA	[-]	285.	285.	285.	0.566	1.06	0.00	0.881	0.822	1.00	0.982	0.901
CMCC-ESM2_CCAM	[-]	285.	285.	285.	-0.0465	0.472	0.00	0.977	0.905	1.00	0.993	0.956
CMCC-ESM2_CMIP6	[-]	284.	284.	285.	-0.233	0.481	0.00	0.948	0.920	1.00	0.999	0.958
CNRM-ESM2-1_CCAM	[-]	284.	284.	285.	-0.960	1.24	0.774	0.806	0.851	0.950	0.915	0.875
CNRM-ESM2-1_CMIP6	[-]	284.	284.	285.	-0.498	0.967	0.916	0.888	0.845	0.941	0.896	0.883
EC-Earth3_BARPA	[-]	286.	286.	285.	1.52	1.69	0.00	0.714	0.849	1.00	0.994	0.881
EC-Earth3_CCAM	[-]	286.	286.	285.	1.34	1.45	0.00	0.745	0.886	1.00	0.965	0.896
EC-Earth3_CMIP6	[-]	286.	286.	285.	1.28	1.47	0.0373	0.755	0.854	0.997	0.948	0.882
ERA5_BARPA	[-]	285.	285.	285.	0.205	0.614	0.00	0.951	0.883	1.00	0.987	0.941
ERA5_CCAM	[-]	285.	285.	285.	0.0218	0.143	0.00	0.976	0.982	1.00	1.00	0.988
MPI-ESM1-2-HR_BARPA	[-]	286.	286.	285.	0.930	1.27	0.00	0.813	0.826	1.00	0.990	0.891
NorESM2-MM_BARPA	[-]	284.	284.	285.	-0.288	1.13	0.0125	0.940	0.788	0.999	0.979	0.899
NorESM2-MM_CCAM	[-]	283.	283.	285.	-1.42	1.56	0.00	0.729	0.866	1.00	0.999	0.892
NorESM2-MM_CMIP6	[-]	283.	283.	285.	-1.21	1.30	0.00	0.764	0.904	1.00	0.995	0.913

	Download Data	Period Mean (original grids) [K]	Model Period Mean (intersection) [K]	Benchmark Period Mean (intersection) [K]	Bias [K]	RMSE [K]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	286.
ACCESS-CM2_BARPA	[-]	287.	287.	286.	0.464	0.788	0.0603	0.875	0.834	0.996	0.993	0.906
ACCESS-CM2_CCAM	[-]	287.	287.	286.	0.328	0.694	0.00	0.910	0.839	1.00	0.999	0.917
ACCESS-CM2_CMIP6	[-]	287.	287.	286.	0.444	0.823	0.00	0.881	0.820	1.00	0.998	0.904
ACCESS-ESM1-5_BARPA	[-]	287.	287.	286.	1.19	1.37	0.641	0.710	0.822	0.959	0.995	0.862
ACCESS-ESM1-5_CCAM	[-]	287.	287.	286.	1.19	1.34	0.196	0.709	0.841	0.987	0.991	0.874
ACCESS-ESM1-5_CMIP6	[-]	287.	287.	286.	1.35	1.49	0.622	0.677	0.830	0.958	1.00	0.859
CESM2_BARPA	[-]	287.	287.	286.	0.499	0.860	0.904	0.867	0.822	0.942	0.960	0.883
CESM2_CCAM	[-]	286.	286.	286.	0.0952	0.601	0.250	0.961	0.846	0.984	0.997	0.927
CMCC-ESM2_BARPA	[-]	287.	287.	286.	0.664	0.947	0.00	0.829	0.827	1.00	0.948	0.886
CMCC-ESM2_CCAM	[-]	286.	286.	286.	-0.0203	0.379	0.0359	0.975	0.900	0.998	0.993	0.953
CMCC-ESM2_CMIP6	[-]	286.	286.	286.	-0.395	0.515	0.290	0.892	0.913	0.981	0.997	0.939
CNRM-ESM2-1_CCAM	[-]	284.	284.	286.	-1.80	1.88	0.178	0.595	0.854	0.989	0.974	0.853
CNRM-ESM2-1_CMIP6	[-]	285.	285.	286.	-1.45	1.55	0.805	0.657	0.856	0.948	0.983	0.860
EC-Earth3_BARPA	[-]	287.	287.	286.	1.03	1.19	0.0151	0.746	0.841	0.999	0.990	0.883
EC-Earth3_CCAM	[-]	287.	287.	286.	0.669	0.833	0.0428	0.827	0.869	0.997	0.990	0.910
EC-Earth3_CMIP6	[-]	287.	287.	286.	0.571	0.876	0.417	0.853	0.831	0.972	0.979	0.893
ERA5_BARPA	[-]	287.	287.	286.	0.330	0.515	0.00	0.910	0.897	1.00	0.976	0.936
ERA5_CCAM	[-]	286.	286.	286.	-0.114	0.145	0.00	0.967	0.977	1.00	0.997	0.983
MPI-ESM1-2-HR_BARPA	[-]	287.	287.	286.	0.693	0.881	0.205	0.823	0.857	0.986	0.987	0.902
NorESM2-MM_BARPA	[-]	286.	287.	286.	0.228	0.847	0.00	0.923	0.803	1.00	0.943	0.894
NorESM2-MM_CCAM	[-]	285.	285.	286.	-1.35	1.41	0.00	0.677	0.885	1.00	0.997	0.889
NorESM2-MM_CMIP6	[-]	285.	285.	286.	-1.11	1.19	0.00	0.727	0.887	1.00	0.989	0.898

	Download Data	Period Mean (original grids) [K]	Model Period Mean (intersection) [K]	Benchmark Period Mean (intersection) [K]	Bias [K]	RMSE [K]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	283.
ACCESS-CM2_BARPA	[-]	283.	283.	283.	0.260	0.683	0.00	0.935	0.850	1.00	1.00	0.927
ACCESS-CM2_CCAM	[-]	283.	283.	283.	0.224	0.625	0.00	0.942	0.861	1.00	0.998	0.932
ACCESS-CM2_CMIP6	[-]	283.	283.	283.	0.305	0.913	0.00	0.925	0.800	1.00	0.988	0.903
ACCESS-ESM1-5_BARPA	[-]	284.	284.	283.	1.13	1.29	0.00	0.748	0.851	1.00	0.987	0.887
ACCESS-ESM1-5_CCAM	[-]	284.	284.	283.	0.965	1.05	0.00	0.780	0.902	1.00	0.993	0.915
ACCESS-ESM1-5_CMIP6	[-]	285.	285.	283.	1.51	1.62	0.00	0.678	0.859	1.00	0.954	0.870
CESM2_BARPA	[-]	283.	283.	283.	-0.301	0.715	0.00	0.927	0.849	1.00	0.967	0.918
CESM2_CCAM	[-]	283.	283.	283.	-0.122	0.772	0.00	0.964	0.823	1.00	0.999	0.922
CMCC-ESM2_BARPA	[-]	283.	283.	283.	0.0588	0.545	0.00	0.978	0.872	1.00	1.00	0.944
CMCC-ESM2_CCAM	[-]	283.	283.	283.	-0.329	0.533	0.00	0.918	0.899	1.00	0.998	0.943
CMCC-ESM2_CMIP6	[-]	283.	283.	283.	-0.334	0.538	0.00	0.918	0.900	1.00	0.998	0.943
CNRM-ESM2-1_CCAM	[-]	282.	282.	283.	-0.877	1.22	0.665	0.796	0.808	0.957	0.748	0.824
CNRM-ESM2-1_CMIP6	[-]	283.	283.	283.	-0.287	0.918	0.781	0.904	0.817	0.950	0.771	0.852
EC-Earth3_BARPA	[-]	284.	284.	283.	1.06	1.18	0.00	0.762	0.877	1.00	0.971	0.898
EC-Earth3_CCAM	[-]	284.	284.	283.	1.22	1.31	0.00	0.733	0.887	1.00	0.907	0.883
EC-Earth3_CMIP6	[-]	284.	284.	283.	1.30	1.47	0.252	0.717	0.838	0.983	0.943	0.864
ERA5_BARPA	[-]	283.	283.	283.	-0.230	0.381	0.00	0.942	0.927	1.00	0.997	0.959
ERA5_CCAM	[-]	283.	283.	283.	-0.182	0.215	0.00	0.953	0.976	1.00	0.983	0.978
MPI-ESM1-2-HR_BARPA	[-]	284.	284.	283.	0.559	0.848	0.00	0.866	0.850	1.00	1.00	0.913
NorESM2-MM_BARPA	[-]	282.	282.	283.	-0.612	0.904	0.00	0.855	0.843	1.00	0.991	0.906
NorESM2-MM_CCAM	[-]	281.	281.	283.	-1.58	1.69	0.00	0.663	0.861	1.00	0.994	0.876
NorESM2-MM_CMIP6	[-]	282.	282.	283.	-1.37	1.47	0.00	0.705	0.878	1.00	1.00	0.892

	Download Data	Period Mean (original grids) [K]	Model Period Mean (intersection) [K]	Benchmark Period Mean (intersection) [K]	Bias [K]	RMSE [K]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	290.
ACCESS-CM2_BARPA	[-]	291.	291.	290.	0.790	1.10	0.578	0.761	0.774	0.959	0.995	0.852
ACCESS-CM2_CCAM	[-]	290.	290.	290.	0.291	0.874	0.400	0.904	0.757	0.972	1.00	0.878
ACCESS-CM2_CMIP6	[-]	290.	290.	290.	0.339	0.982	0.654	0.893	0.732	0.956	0.995	0.862
ACCESS-ESM1-5_BARPA	[-]	291.	291.	290.	1.36	1.54	0.325	0.628	0.784	0.971	1.00	0.833
ACCESS-ESM1-5_CCAM	[-]	291.	291.	290.	1.25	1.42	0.161	0.653	0.796	0.989	1.00	0.847
ACCESS-ESM1-5_CMIP6	[-]	291.	291.	290.	1.13	1.37	0.160	0.679	0.761	0.989	0.976	0.833
CESM2_BARPA	[-]	291.	291.	290.	1.20	1.45	1.06	0.661	0.765	0.920	0.987	0.820
CESM2_CCAM	[-]	290.	290.	290.	0.0943	0.690	0.173	0.949	0.798	0.988	1.00	0.907
CMCC-ESM2_BARPA	[-]	291.	291.	290.	1.31	1.59	0.607	0.639	0.743	0.959	0.986	0.814
CMCC-ESM2_CCAM	[-]	290.	290.	290.	-0.114	0.328	0.195	0.941	0.912	0.986	0.996	0.950
CMCC-ESM2_CMIP6	[-]	289.	289.	290.	-0.593	0.736	0.787	0.815	0.868	0.930	0.991	0.894
CNRM-ESM2-1_CCAM	[-]	288.	288.	290.	-2.34	2.39	0.139	0.450	0.851	0.990	0.997	0.828
CNRM-ESM2-1_CMIP6	[-]	288.	288.	290.	-1.80	1.87	0.338	0.537	0.836	0.978	0.995	0.836
EC-Earth3_BARPA	[-]	291.	291.	290.	0.884	1.27	0.808	0.748	0.738	0.945	0.994	0.833
EC-Earth3_CCAM	[-]	290.	290.	290.	-0.204	0.597	0.0998	0.884	0.853	0.993	0.929	0.903
EC-Earth3_CMIP6	[-]	290.	290.	290.	-0.271	0.735	0.719	0.883	0.811	0.952	0.952	0.882
ERA5_BARPA	[-]	290.	291.	290.	0.625	0.797	0.798	0.807	0.857	0.946	1.00	0.893
ERA5_CCAM	[-]	290.	290.	290.	-0.240	0.262	0.112	0.916	0.970	0.992	0.994	0.969
MPI-ESM1-2-HR_BARPA	[-]	291.	291.	290.	0.699	1.05	0.179	0.793	0.770	0.988	0.999	0.864
NorESM2-MM_BARPA	[-]	291.	291.	290.	0.977	1.29	0.773	0.711	0.774	0.948	0.992	0.840
NorESM2-MM_CCAM	[-]	288.	288.	290.	-1.43	1.46	0.228	0.615	0.902	0.985	0.995	0.880
NorESM2-MM_CMIP6	[-]	289.	289.	290.	-1.23	1.33	0.824	0.660	0.841	0.945	0.998	0.857

	Download Data	Period Mean (original grids) [K]	Model Period Mean (intersection) [K]	Benchmark Period Mean (intersection) [K]	Bias [K]	RMSE [K]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	292.
ACCESS-CM2_BARPA	[-]	293.	293.	292.	0.978	1.24	0.963	0.683	0.755	0.933	0.987	0.823
ACCESS-CM2_CCAM	[-]	292.	292.	292.	0.126	0.886	0.917	0.926	0.721	0.939	0.924	0.846
ACCESS-CM2_CMIP6	[-]	292.	292.	292.	0.572	1.14	0.912	0.803	0.695	0.940	0.999	0.826
ACCESS-ESM1-5_BARPA	[-]	293.	293.	292.	1.43	1.58	0.947	0.577	0.777	0.933	0.997	0.812
ACCESS-ESM1-5_CCAM	[-]	293.	293.	292.	1.13	1.33	0.917	0.645	0.770	0.939	0.996	0.824
ACCESS-ESM1-5_CMIP6	[-]	293.	293.	292.	1.24	1.48	0.876	0.621	0.745	0.942	1.00	0.811
CESM2_BARPA	[-]	293.	293.	292.	1.50	1.72	1.90	0.560	0.739	0.761	0.998	0.759
CESM2_CCAM	[-]	292.	292.	292.	0.119	0.791	0.915	0.926	0.757	0.939	0.968	0.869
CMCC-ESM2_BARPA	[-]	294.	294.	292.	1.67	1.93	1.09	0.529	0.700	0.912	0.989	0.766
CMCC-ESM2_CCAM	[-]	291.	291.	292.	-0.396	0.671	0.323	0.857	0.832	0.979	0.997	0.899
CMCC-ESM2_CMIP6	[-]	291.	291.	292.	-0.349	0.703	0.674	0.875	0.809	0.951	0.996	0.888
CNRM-ESM2-1_CCAM	[-]	290.	290.	292.	-2.30	2.32	0.962	0.415	0.890	0.932	0.997	0.825
CNRM-ESM2-1_CMIP6	[-]	291.	291.	292.	-1.36	1.40	0.681	0.596	0.886	0.955	0.961	0.857
EC-Earth3_BARPA	[-]	293.	293.	292.	0.899	1.21	1.04	0.715	0.737	0.921	0.965	0.815
EC-Earth3_CCAM	[-]	291.	291.	292.	-0.726	0.853	0.0852	0.751	0.851	0.993	0.989	0.887
EC-Earth3_CMIP6	[-]	291.	291.	292.	-0.628	0.862	0.129	0.788	0.807	0.990	0.999	0.878
ERA5_BARPA	[-]	293.	293.	292.	0.709	0.863	1.35	0.760	0.838	0.867	0.999	0.860
ERA5_CCAM	[-]	291.	291.	292.	-0.373	0.426	0.0390	0.861	0.938	0.997	0.994	0.945
MPI-ESM1-2-HR_BARPA	[-]	293.	293.	292.	0.888	1.19	0.917	0.717	0.746	0.939	0.938	0.817
NorESM2-MM_BARPA	[-]	293.	293.	292.	1.09	1.42	1.48	0.654	0.738	0.846	0.870	0.769
NorESM2-MM_CCAM	[-]	290.	290.	292.	-1.43	1.48	0.907	0.580	0.861	0.940	0.981	0.845
NorESM2-MM_CMIP6	[-]	291.	291.	292.	-0.963	1.07	0.944	0.692	0.840	0.937	0.996	0.861

	Download Data	Period Mean (original grids) [K]	Model Period Mean (intersection) [K]	Benchmark Period Mean (intersection) [K]	Bias [K]	RMSE [K]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	282.
ACCESS-CM2_BARPA	[-]	282.	282.	282.	0.218	0.916	0.452	0.954	0.827	0.971	0.985	0.913
ACCESS-CM2_CCAM	[-]	282.	282.	282.	0.475	1.01	0.559	0.902	0.827	0.964	0.976	0.899
ACCESS-CM2_CMIP6	[-]	282.	282.	282.	0.372	1.00	0.392	0.923	0.820	0.975	0.965	0.901
ACCESS-ESM1-5_BARPA	[-]	283.	283.	282.	1.20	1.60	0.405	0.772	0.798	0.974	0.972	0.863
ACCESS-ESM1-5_CCAM	[-]	283.	283.	282.	1.20	1.49	0.149	0.773	0.830	0.990	0.954	0.875
ACCESS-ESM1-5_CMIP6	[-]	283.	283.	282.	1.64	1.78	0.00	0.702	0.861	1.00	0.989	0.883
CESM2_BARPA	[-]	281.	281.	282.	-0.722	1.26	0.158	0.855	0.806	0.990	0.953	0.882
CESM2_CCAM	[-]	281.	281.	282.	-0.735	1.28	0.135	0.853	0.811	0.991	0.911	0.876
CMCC-ESM2_BARPA	[-]	281.	281.	282.	-0.152	0.913	0.189	0.938	0.836	0.988	0.945	0.908
CMCC-ESM2_CCAM	[-]	281.	281.	282.	-0.170	0.704	0.158	0.960	0.868	0.990	0.972	0.932
CMCC-ESM2_CMIP6	[-]	281.	281.	282.	-0.391	0.756	0.0774	0.918	0.877	0.995	0.953	0.924
CNRM-ESM2-1_CCAM	[-]	281.	282.	282.	-0.123	0.706	0.825	0.971	0.864	0.947	0.997	0.928
CNRM-ESM2-1_CMIP6	[-]	282.	282.	282.	0.181	0.667	0.761	0.962	0.871	0.951	0.998	0.931
EC-Earth3_BARPA	[-]	283.	283.	282.	1.62	1.78	0.0320	0.704	0.856	0.998	0.994	0.881
EC-Earth3_CCAM	[-]	283.	283.	282.	1.83	1.91	0.0401	0.673	0.890	0.997	0.998	0.890
EC-Earth3_CMIP6	[-]	283.	283.	282.	1.62	1.71	0.128	0.704	0.886	0.992	0.999	0.893
ERA5_BARPA	[-]	282.	282.	282.	-0.112	0.548	0.0546	0.971	0.895	0.996	0.992	0.950
ERA5_CCAM	[-]	282.	282.	282.	0.239	0.307	0.0868	0.947	0.963	0.994	0.994	0.973
MPI-ESM1-2-HR_BARPA	[-]	282.	282.	282.	0.217	0.935	0.158	0.942	0.828	0.990	0.937	0.905
NorESM2-MM_BARPA	[-]	281.	281.	282.	-0.800	1.21	0.804	0.840	0.830	0.948	0.981	0.886
NorESM2-MM_CCAM	[-]	280.	280.	282.	-1.44	1.69	0.427	0.731	0.830	0.973	0.990	0.871
NorESM2-MM_CMIP6	[-]	280.	280.	282.	-1.50	1.70	0.647	0.722	0.842	0.958	0.982	0.869

	Download Data	Period Mean (original grids) [K]	Model Period Mean (intersection) [K]	Benchmark Period Mean (intersection) [K]	Bias [K]	RMSE [K]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	290.
ACCESS-CM2_BARPA	[-]	290.	290.	290.	0.522	1.14	0.365	0.891	0.809	0.976	0.998	0.897
ACCESS-CM2_CCAM	[-]	290.	290.	290.	0.223	0.950	0.265	0.939	0.830	0.982	0.983	0.913
ACCESS-CM2_CMIP6	[-]	290.	290.	290.	0.286	1.11	0.291	0.934	0.799	0.980	0.999	0.902
ACCESS-ESM1-5_BARPA	[-]	291.	291.	290.	1.34	1.62	0.338	0.750	0.828	0.978	1.00	0.877
ACCESS-ESM1-5_CCAM	[-]	291.	291.	290.	1.07	1.30	0.505	0.796	0.860	0.966	0.990	0.895
ACCESS-ESM1-5_CMIP6	[-]	291.	291.	290.	1.07	1.32	0.587	0.795	0.854	0.961	0.994	0.891
CESM2_BARPA	[-]	290.	290.	290.	0.469	1.21	0.219	0.885	0.804	0.978	0.977	0.890
CESM2_CCAM	[-]	289.	289.	290.	-0.273	0.804	0.319	0.940	0.859	0.979	0.998	0.927
CMCC-ESM2_BARPA	[-]	291.	291.	290.	0.997	1.64	0.129	0.806	0.766	0.988	0.979	0.861
CMCC-ESM2_CCAM	[-]	290.	290.	290.	0.0665	0.718	0.312	0.957	0.868	0.979	0.995	0.933
CMCC-ESM2_CMIP6	[-]	290.	290.	290.	0.0869	0.738	0.486	0.952	0.865	0.948	0.996	0.925
CNRM-ESM2-1_CCAM	[-]	288.	288.	290.	-1.52	1.65	0.769	0.722	0.889	0.949	0.950	0.880
CNRM-ESM2-1_CMIP6	[-]	289.	289.	290.	-0.994	1.18	0.660	0.805	0.890	0.957	0.982	0.905
EC-Earth3_BARPA	[-]	291.	291.	290.	1.34	1.63	0.132	0.753	0.821	0.988	1.00	0.877
EC-Earth3_CCAM	[-]	290.	290.	290.	0.666	0.984	0.481	0.861	0.888	0.962	0.955	0.911
EC-Earth3_CMIP6	[-]	290.	290.	290.	0.519	1.01	0.697	0.879	0.859	0.937	0.969	0.901
ERA5_BARPA	[-]	290.	290.	290.	0.383	0.793	0.132	0.918	0.867	0.987	0.997	0.927
ERA5_CCAM	[-]	290.	290.	290.	0.0795	0.245	0.0911	0.966	0.966	0.992	0.998	0.978
MPI-ESM1-2-HR_BARPA	[-]	291.	291.	290.	0.978	1.22	0.442	0.811	0.854	0.970	1.00	0.898
NorESM2-MM_BARPA	[-]	290.	290.	290.	-0.145	1.50	0.132	0.908	0.743	0.987	0.988	0.874
NorESM2-MM_CCAM	[-]	288.	288.	290.	-1.64	1.75	0.409	0.705	0.884	0.973	0.999	0.889
NorESM2-MM_CMIP6	[-]	288.	288.	290.	-1.21	1.35	0.272	0.774	0.881	0.982	1.00	0.903

	Download Data	Period Mean (original grids) [K]	Model Period Mean (intersection) [K]	Benchmark Period Mean (intersection) [K]	Bias [K]	RMSE [K]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	287.
ACCESS-CM2_BARPA	[-]	287.	287.	287.	0.372	1.11	0.768	0.932	0.819	0.951	0.997	0.903
ACCESS-CM2_CCAM	[-]	287.	287.	287.	0.510	1.07	0.163	0.905	0.835	0.990	0.997	0.912
ACCESS-CM2_CMIP6	[-]	287.	287.	286.	0.367	1.14	0.148	0.931	0.812	0.991	1.00	0.909
ACCESS-ESM1-5_BARPA	[-]	288.	288.	287.	1.41	1.73	0.207	0.762	0.826	0.987	0.996	0.879
ACCESS-ESM1-5_CCAM	[-]	287.	287.	287.	0.879	1.22	0.0224	0.845	0.854	0.999	1.00	0.910
ACCESS-ESM1-5_CMIP6	[-]	288.	288.	286.	1.46	1.63	0.150	0.754	0.869	0.990	0.999	0.896
CESM2_BARPA	[-]	286.	286.	287.	-0.394	1.11	0.0469	0.912	0.832	0.997	0.982	0.911
CESM2_CCAM	[-]	286.	286.	287.	-0.369	0.961	0.0365	0.926	0.858	0.998	0.990	0.926
CMCC-ESM2_BARPA	[-]	287.	287.	287.	0.261	1.29	0.426	0.930	0.794	0.973	0.974	0.893
CMCC-ESM2_CCAM	[-]	287.	287.	287.	0.0523	0.713	0.0650	0.980	0.873	0.996	1.00	0.944
CMCC-ESM2_CMIP6	[-]	287.	287.	287.	0.111	0.737	0.187	0.958	0.877	0.988	0.999	0.940
CNRM-ESM2-1_CCAM	[-]	286.	286.	287.	-0.658	0.979	0.699	0.888	0.886	0.955	0.946	0.912
CNRM-ESM2-1_CMIP6	[-]	286.	286.	287.	-0.262	0.778	0.568	0.934	0.887	0.964	0.962	0.927
EC-Earth3_BARPA	[-]	288.	288.	287.	1.80	1.99	0.00161	0.706	0.852	1.00	0.999	0.882
EC-Earth3_CCAM	[-]	288.	288.	287.	1.84	1.93	0.0211	0.701	0.896	0.999	0.991	0.896
EC-Earth3_CMIP6	[-]	288.	288.	287.	1.57	1.69	0.0471	0.739	0.886	0.997	0.995	0.900
ERA5_BARPA	[-]	287.	287.	287.	0.0483	0.617	0.0522	0.979	0.891	0.997	0.998	0.951
ERA5_CCAM	[-]	287.	287.	287.	0.362	0.410	0.00161	0.932	0.964	1.00	1.00	0.972
MPI-ESM1-2-HR_BARPA	[-]	287.	287.	287.	0.671	1.06	0.0278	0.880	0.856	0.998	0.996	0.917
NorESM2-MM_BARPA	[-]	286.	286.	287.	-0.873	1.47	0.202	0.844	0.803	0.987	0.996	0.887
NorESM2-MM_CCAM	[-]	285.	285.	287.	-1.60	1.78	0.00161	0.734	0.860	1.00	0.999	0.891
NorESM2-MM_CMIP6	[-]	285.	285.	287.	-1.35	1.58	0.0350	0.771	0.854	0.998	0.993	0.894

	Download Data	Period Mean (original grids) [K]	Model Period Mean (intersection) [K]	Benchmark Period Mean (intersection) [K]	Bias [K]	RMSE [K]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	277.
ACCESS-CM2_BARPA	[-]	277.	277.	277.	-0.194	0.412	0.116	0.937	0.885	0.993	0.999	0.940
ACCESS-CM2_CCAM	[-]	277.	277.	277.	-0.135	0.478	0.116	0.955	0.858	0.993	1.00	0.933
ACCESS-CM2_CMIP6	[-]	277.	277.	277.	-0.252	0.468	0.00	0.913	0.869	1.00	0.996	0.930
ACCESS-ESM1-5_BARPA	[-]	278.	278.	277.	0.549	0.725	0.116	0.831	0.854	0.993	0.989	0.904
ACCESS-ESM1-5_CCAM	[-]	278.	278.	277.	0.305	0.525	0.116	0.903	0.870	0.993	0.971	0.921
ACCESS-ESM1-5_CMIP6	[-]	278.	278.	277.	1.04	1.10	0.00	0.689	0.884	1.00	0.989	0.889
CESM2_BARPA	[-]	276.	276.	277.	-1.42	1.53	0.116	0.617	0.827	0.993	0.990	0.851
CESM2_CCAM	[-]	276.	276.	277.	-1.81	1.91	0.116	0.541	0.814	0.993	0.994	0.831
CMCC-ESM2_BARPA	[-]	277.	277.	277.	-0.828	0.882	0.867	0.755	0.904	0.944	0.990	0.899
CMCC-ESM2_CCAM	[-]	277.	277.	277.	-0.844	0.878	0.750	0.751	0.924	0.952	0.998	0.910
CMCC-ESM2_CMIP6	[-]	276.	276.	278.	-1.23	1.25	0.488	0.667	0.929	0.969	0.975	0.894
CNRM-ESM2-1_CCAM	[-]	277.	277.	277.	-0.559	0.657	0.116	0.827	0.891	0.993	0.993	0.919
CNRM-ESM2-1_CMIP6	[-]	277.	277.	277.	-0.475	0.627	0.00	0.848	0.868	1.00	0.995	0.916
EC-Earth3_BARPA	[-]	279.	279.	277.	1.19	1.25	0.195	0.667	0.888	0.988	0.997	0.885
EC-Earth3_CCAM	[-]	279.	279.	277.	1.50	1.53	0.116	0.601	0.900	0.993	0.996	0.878
EC-Earth3_CMIP6	[-]	279.	279.	277.	1.45	1.48	0.00	0.614	0.913	1.00	1.00	0.888
ERA5_BARPA	[-]	277.	277.	277.	-0.432	0.470	0.0972	0.864	0.939	0.994	1.00	0.947
ERA5_CCAM	[-]	277.	277.	277.	0.0602	0.0937	0.116	0.977	0.981	0.993	0.995	0.985
MPI-ESM1-2-HR_BARPA	[-]	277.	277.	277.	-0.746	0.916	0.867	0.776	0.837	0.944	0.977	0.875
NorESM2-MM_BARPA	[-]	276.	276.	277.	-1.08	1.12	0.116	0.693	0.908	0.993	1.00	0.900
NorESM2-MM_CCAM	[-]	276.	276.	277.	-1.73	1.80	0.116	0.557	0.850	0.993	0.999	0.849
NorESM2-MM_CMIP6	[-]	276.	276.	278.	-2.00	2.05	0.00	0.519	0.874	1.00	1.00	0.853

	Download Data	Period Mean (original grids) [K]	Model Period Mean (intersection) [K]	Benchmark Period Mean (intersection) [K]	Bias [K]	RMSE [K]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	277.
ACCESS-CM2_BARPA	[-]	277.	277.	277.	-0.190	0.434	0.00	0.936	0.874	1.00	0.999	0.937
ACCESS-CM2_CCAM	[-]	277.	277.	277.	-0.125	0.498	0.00	0.958	0.848	1.00	0.998	0.930
ACCESS-CM2_CMIP6	[-]	277.	277.	277.	-0.00269	0.530	0.00	0.999	0.833	1.00	1.00	0.933
ACCESS-ESM1-5_BARPA	[-]	277.	277.	277.	0.429	0.651	0.00	0.862	0.845	1.00	0.997	0.910
ACCESS-ESM1-5_CCAM	[-]	277.	277.	277.	0.152	0.508	0.00	0.949	0.850	1.00	0.984	0.927
ACCESS-ESM1-5_CMIP6	[-]	278.	278.	277.	1.26	1.36	0.00	0.648	0.837	1.00	1.00	0.864
CESM2_BARPA	[-]	275.	275.	277.	-1.49	1.60	0.00	0.595	0.818	1.00	0.997	0.846
CESM2_CCAM	[-]	275.	275.	277.	-1.93	2.01	0.00	0.511	0.815	1.00	1.00	0.828
CMCC-ESM2_BARPA	[-]	276.	276.	277.	-0.873	0.917	0.983	0.737	0.908	0.937	1.00	0.898
CMCC-ESM2_CCAM	[-]	276.	276.	277.	-0.854	0.887	0.826	0.743	0.923	0.947	0.999	0.907
CMCC-ESM2_CMIP6	[-]	276.	276.	277.	-1.07	1.10	0.983	0.694	0.920	0.937	0.999	0.894
CNRM-ESM2-1_CCAM	[-]	276.	276.	277.	-0.606	0.698	0.00	0.809	0.887	1.00	0.995	0.916
CNRM-ESM2-1_CMIP6	[-]	277.	277.	277.	-0.229	0.447	0.00	0.926	0.880	1.00	0.980	0.933
EC-Earth3_BARPA	[-]	278.	278.	277.	1.33	1.39	0.00	0.629	0.869	1.00	0.997	0.873
EC-Earth3_CCAM	[-]	278.	278.	277.	1.58	1.62	0.00	0.576	0.882	1.00	0.994	0.867
EC-Earth3_CMIP6	[-]	278.	278.	277.	1.54	1.57	0.00	0.585	0.892	1.00	0.992	0.872
ERA5_BARPA	[-]	276.	276.	277.	-0.305	0.360	0.00	0.899	0.938	1.00	1.00	0.955
ERA5_CCAM	[-]	277.	277.	277.	0.164	0.174	0.00	0.944	0.981	1.00	0.994	0.980
MPI-ESM1-2-HR_BARPA	[-]	276.	276.	277.	-0.848	0.990	0.564	0.744	0.840	0.964	0.992	0.876
NorESM2-MM_BARPA	[-]	276.	276.	277.	-1.04	1.08	0.00	0.697	0.895	1.00	0.993	0.896
NorESM2-MM_CCAM	[-]	275.	275.	277.	-1.73	1.80	0.00	0.547	0.851	1.00	0.988	0.847
NorESM2-MM_CMIP6	[-]	275.	275.	277.	-1.66	1.71	0.00	0.569	0.867	1.00	0.956	0.851

	Download Data	Period Mean (original grids) [K]	Model Period Mean (intersection) [K]	Benchmark Period Mean (intersection) [K]	Bias [K]	RMSE [K]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	280.
ACCESS-CM2_BARPA	[-]	280.	280.	280.	0.0240	0.567	0.389	0.973	0.870	0.975	0.976	0.933
ACCESS-CM2_CCAM	[-]	280.	280.	280.	0.0996	0.609	0.591	0.962	0.863	0.962	0.999	0.930
ACCESS-CM2_CMIP6	[-]	281.	281.	281.	0.0537	0.778	0.321	0.954	0.825	0.979	0.956	0.908
ACCESS-ESM1-5_BARPA	[-]	281.	281.	280.	0.952	1.19	0.447	0.786	0.838	0.971	0.961	0.879
ACCESS-ESM1-5_CCAM	[-]	281.	281.	280.	0.764	0.946	0.256	0.824	0.873	0.984	0.984	0.908
ACCESS-ESM1-5_CMIP6	[-]	282.	282.	281.	1.43	1.57	0.00	0.693	0.849	1.00	0.978	0.874
CESM2_BARPA	[-]	279.	279.	280.	-0.945	1.17	0.188	0.788	0.842	0.988	0.943	0.881
CESM2_CCAM	[-]	280.	280.	280.	-0.820	1.22	0.188	0.816	0.803	0.988	0.876	0.857
CMCC-ESM2_BARPA	[-]	280.	280.	280.	-0.374	0.633	0.169	0.910	0.885	0.989	0.942	0.922
CMCC-ESM2_CCAM	[-]	280.	280.	280.	-0.457	0.599	0.188	0.892	0.910	0.988	0.995	0.939
CMCC-ESM2_CMIP6	[-]	280.	280.	281.	-0.617	0.748	0.658	0.856	0.901	0.958	0.997	0.922
CNRM-ESM2-1_CCAM	[-]	280.	280.	280.	-0.472	0.773	0.796	0.889	0.860	0.949	1.00	0.911
CNRM-ESM2-1_CMIP6	[-]	280.	280.	280.	-0.0546	0.541	0.660	0.978	0.877	0.958	0.982	0.934
EC-Earth3_BARPA	[-]	282.	282.	280.	1.17	1.25	0.141	0.744	0.894	0.991	1.00	0.905
EC-Earth3_CCAM	[-]	282.	282.	280.	1.45	1.49	0.303	0.693	0.913	0.981	0.994	0.899
EC-Earth3_CMIP6	[-]	282.	282.	280.	1.46	1.55	0.244	0.689	0.881	0.984	0.998	0.887
ERA5_BARPA	[-]	280.	280.	280.	-0.362	0.435	0.104	0.913	0.942	0.993	1.00	0.958
ERA5_CCAM	[-]	280.	280.	280.	-0.0538	0.154	0.132	0.976	0.976	0.992	0.992	0.982
MPI-ESM1-2-HR_BARPA	[-]	280.	280.	280.	-0.107	0.708	0.188	0.934	0.850	0.988	0.890	0.903
NorESM2-MM_BARPA	[-]	279.	279.	280.	-0.912	1.02	0.776	0.794	0.894	0.950	0.975	0.902
NorESM2-MM_CCAM	[-]	279.	279.	280.	-1.55	1.67	0.717	0.676	0.859	0.954	0.998	0.869
NorESM2-MM_CMIP6	[-]	279.	279.	281.	-1.69	1.77	0.822	0.652	0.875	0.947	1.00	0.870

	Download Data	Period Mean (original grids) [K]	Model Period Mean (intersection) [K]	Benchmark Period Mean (intersection) [K]	Bias [K]	RMSE [K]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	280.
ACCESS-CM2_BARPA	[-]	280.	280.	280.	-0.0258	0.686	0.00	0.987	0.839	1.00	0.979	0.929
ACCESS-CM2_CCAM	[-]	280.	280.	280.	0.222	0.826	0.00	0.945	0.815	1.00	0.969	0.909
ACCESS-CM2_CMIP6	[-]	280.	280.	279.	0.111	0.782	0.00	0.971	0.817	1.00	0.0651	0.734
ACCESS-ESM1-5_BARPA	[-]	280.	280.	280.	0.829	1.19	0.00	0.809	0.803	1.00	0.939	0.871
ACCESS-ESM1-5_CCAM	[-]	280.	280.	280.	0.747	1.15	0.00	0.826	0.800	1.00	0.953	0.876
ACCESS-ESM1-5_CMIP6	[-]	281.	281.	279.	1.46	1.67	0.00	0.681	0.809	1.00	0.881	0.836
CESM2_BARPA	[-]	278.	278.	280.	-1.19	1.47	0.961	0.735	0.804	0.938	0.938	0.844
CESM2_CCAM	[-]	278.	278.	280.	-1.40	1.64	0.746	0.697	0.809	0.952	0.823	0.818
CMCC-ESM2_BARPA	[-]	279.	279.	280.	-0.687	0.870	0.203	0.838	0.875	0.987	0.908	0.897
CMCC-ESM2_CCAM	[-]	279.	279.	280.	-0.536	0.797	0.983	0.871	0.862	0.937	0.917	0.890
CMCC-ESM2_CMIP6	[-]	279.	279.	280.	-0.858	0.997	0.00	0.800	0.880	1.00	0.949	0.902
CNRM-ESM2-1_CCAM	[-]	279.	279.	280.	-0.231	0.514	0.00	0.942	0.890	1.00	0.987	0.942
CNRM-ESM2-1_CMIP6	[-]	279.	279.	279.	-0.0753	0.399	0.00	0.980	0.899	1.00	1.00	0.956
EC-Earth3_BARPA	[-]	281.	281.	280.	1.44	1.56	0.0114	0.691	0.859	0.999	0.965	0.875
EC-Earth3_CCAM	[-]	281.	281.	280.	1.71	1.79	0.00	0.644	0.875	1.00	0.981	0.875
EC-Earth3_CMIP6	[-]	281.	281.	280.	1.59	1.65	0.00	0.664	0.888	1.00	1.00	0.888
ERA5_BARPA	[-]	279.	279.	280.	-0.245	0.449	0.0341	0.939	0.909	0.998	0.992	0.949
ERA5_CCAM	[-]	280.	280.	280.	0.140	0.194	0.0568	0.965	0.965	0.996	0.991	0.977
MPI-ESM1-2-HR_BARPA	[-]	279.	279.	280.	-0.323	0.824	0.983	0.920	0.824	0.937	0.943	0.890
NorESM2-MM_BARPA	[-]	278.	278.	280.	-1.10	1.21	0.00	0.753	0.884	1.00	0.963	0.897
NorESM2-MM_CCAM	[-]	278.	278.	280.	-1.64	1.82	0.00	0.656	0.821	1.00	0.975	0.855
NorESM2-MM_CMIP6	[-]	278.	278.	280.	-1.72	1.87	0.00	0.640	0.829	1.00	0.983	0.856

	Download Data	Period Mean (original grids) [K]	Model Period Mean (intersection) [K]	Benchmark Period Mean (intersection) [K]	Bias [K]	RMSE [K]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	283.
ACCESS-CM2_BARPA	[-]	283.	283.	283.	0.157	0.937	0.957	0.967	0.821	0.939	0.997	0.909
ACCESS-CM2_CCAM	[-]	283.	283.	283.	0.580	1.15	0.957	0.883	0.808	0.939	0.996	0.887
ACCESS-CM2_CMIP6	[-]	283.	283.	283.	0.304	1.00	0.733	0.936	0.812	0.953	1.00	0.902
ACCESS-ESM1-5_BARPA	[-]	284.	284.	283.	1.10	1.50	0.951	0.791	0.802	0.939	0.993	0.865
ACCESS-ESM1-5_CCAM	[-]	284.	284.	283.	1.03	1.42	0.621	0.802	0.812	0.960	0.998	0.877
ACCESS-ESM1-5_CMIP6	[-]	284.	284.	283.	1.52	1.72	0.486	0.717	0.836	0.969	0.999	0.871
CESM2_BARPA	[-]	282.	282.	283.	-0.963	1.29	0.0259	0.813	0.834	0.998	0.985	0.893
CESM2_CCAM	[-]	281.	281.	283.	-1.26	1.42	0.343	0.762	0.880	0.978	0.969	0.894
CMCC-ESM2_BARPA	[-]	282.	282.	283.	-0.464	0.957	0.299	0.904	0.841	0.981	0.979	0.909
CMCC-ESM2_CCAM	[-]	283.	283.	283.	-0.122	0.810	0.329	0.968	0.845	0.979	0.983	0.924
CMCC-ESM2_CMIP6	[-]	282.	282.	283.	-0.273	0.734	0.983	0.942	0.866	0.937	0.972	0.917
CNRM-ESM2-1_CCAM	[-]	283.	283.	283.	-0.0247	0.668	0.957	0.991	0.867	0.939	1.00	0.932
CNRM-ESM2-1_CMIP6	[-]	283.	283.	283.	0.0676	0.621	0.983	0.984	0.878	0.937	1.00	0.935
EC-Earth3_BARPA	[-]	284.	284.	283.	1.54	1.67	0.0457	0.718	0.872	0.997	0.998	0.891
EC-Earth3_CCAM	[-]	285.	285.	283.	1.91	2.00	0.0457	0.663	0.882	0.997	0.998	0.884
EC-Earth3_CMIP6	[-]	284.	284.	283.	1.66	1.73	0.145	0.699	0.900	0.991	0.999	0.898
ERA5_BARPA	[-]	282.	282.	283.	-0.197	0.549	0.00655	0.958	0.898	1.00	0.997	0.950
ERA5_CCAM	[-]	283.	283.	283.	0.200	0.273	0.0259	0.959	0.961	0.998	0.996	0.975
MPI-ESM1-2-HR_BARPA	[-]	283.	283.	283.	0.288	0.836	0.0259	0.942	0.847	0.998	0.975	0.922
NorESM2-MM_BARPA	[-]	282.	282.	283.	-1.15	1.46	0.957	0.781	0.829	0.939	0.997	0.875
NorESM2-MM_CCAM	[-]	281.	281.	283.	-1.63	1.90	0.302	0.705	0.811	0.981	1.00	0.861
NorESM2-MM_CMIP6	[-]	281.	281.	283.	-1.73	1.96	0.840	0.689	0.819	0.946	1.00	0.854

	Download Data	Period Mean (original grids) [K]	Model Period Mean (intersection) [K]	Benchmark Period Mean (intersection) [K]	Bias [K]	RMSE [K]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	284.
ACCESS-CM2_BARPA	[-]	284.	284.	284.	0.318	1.11	0.580	0.935	0.796	0.963	0.998	0.898
ACCESS-CM2_CCAM	[-]	284.	284.	284.	0.662	1.18	0.428	0.867	0.810	0.973	1.00	0.892
ACCESS-CM2_CMIP6	[-]	284.	284.	284.	0.566	1.26	0.453	0.884	0.783	0.971	0.999	0.884
ACCESS-ESM1-5_BARPA	[-]	285.	285.	284.	1.43	1.83	0.294	0.737	0.782	0.981	0.995	0.855
ACCESS-ESM1-5_CCAM	[-]	284.	285.	284.	0.948	1.36	0.170	0.816	0.810	0.989	0.998	0.885
ACCESS-ESM1-5_CMIP6	[-]	285.	285.	284.	1.95	2.14	0.605	0.655	0.827	0.961	1.00	0.854
CESM2_BARPA	[-]	283.	283.	284.	-0.729	1.17	0.309	0.851	0.835	0.980	0.984	0.897
CESM2_CCAM	[-]	283.	283.	284.	-0.412	1.10	0.248	0.911	0.814	0.984	0.983	0.901
CMCC-ESM2_BARPA	[-]	283.	283.	284.	-0.156	1.05	0.580	0.931	0.818	0.963	0.974	0.901
CMCC-ESM2_CCAM	[-]	283.	284.	284.	-0.0412	0.764	0.449	0.967	0.854	0.971	0.994	0.928
CMCC-ESM2_CMIP6	[-]	283.	283.	283.	-0.0851	0.871	0.453	0.940	0.845	0.971	0.979	0.916
CNRM-ESM2-1_CCAM	[-]	283.	283.	284.	-0.532	0.928	0.547	0.898	0.856	0.965	0.980	0.911
CNRM-ESM2-1_CMIP6	[-]	284.	284.	284.	0.0331	0.611	0.641	0.945	0.892	0.959	0.983	0.934
EC-Earth3_BARPA	[-]	286.	286.	284.	2.00	2.26	0.269	0.650	0.799	0.983	1.00	0.846
EC-Earth3_CCAM	[-]	286.	286.	284.	2.27	2.41	0.0603	0.613	0.836	0.996	0.998	0.856
EC-Earth3_CMIP6	[-]	286.	286.	284.	2.03	2.16	0.205	0.645	0.849	0.987	0.994	0.865
ERA5_BARPA	[-]	283.	283.	284.	-0.185	0.524	0.368	0.960	0.902	0.976	0.999	0.948
ERA5_CCAM	[-]	284.	284.	284.	0.335	0.423	0.208	0.931	0.946	0.987	1.00	0.962
MPI-ESM1-2-HR_BARPA	[-]	284.	284.	284.	0.108	0.967	0.404	0.966	0.816	0.974	0.992	0.913
NorESM2-MM_BARPA	[-]	283.	283.	284.	-0.906	1.21	0.123	0.821	0.851	0.992	0.997	0.902
NorESM2-MM_CCAM	[-]	282.	282.	284.	-1.42	1.64	0.356	0.734	0.840	0.977	0.996	0.878
NorESM2-MM_CMIP6	[-]	282.	282.	283.	-1.42	1.54	0.414	0.733	0.889	0.973	0.989	0.895

	Download Data	Period Mean (original grids) [K]	Model Period Mean (intersection) [K]	Benchmark Period Mean (intersection) [K]	Bias [K]	RMSE [K]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	290.
ACCESS-CM2_BARPA	[-]	291.	291.	290.	0.688	0.890	1.50	0.690	0.754	0.826	0.960	0.797
ACCESS-CM2_CCAM	[-]	290.	290.	290.	0.171	0.716	0.531	0.861	0.714	0.942	0.961	0.839
ACCESS-CM2_CMIP6	[-]	290.	290.	290.	0.110	0.782	1.63	0.943	0.683	0.823	0.980	0.822
ACCESS-ESM1-5_BARPA	[-]	291.	291.	290.	1.21	1.33	1.37	0.525	0.766	0.850	0.985	0.778
ACCESS-ESM1-5_CCAM	[-]	291.	291.	290.	1.21	1.39	0.303	0.525	0.719	0.970	0.969	0.780
ACCESS-ESM1-5_CMIP6	[-]	291.	291.	290.	1.15	1.40	0.415	0.561	0.674	0.972	0.997	0.776
CESM2_BARPA	[-]	291.	291.	290.	0.965	1.09	1.61	0.599	0.783	0.825	0.967	0.791
CESM2_CCAM	[-]	290.	290.	290.	-0.0375	0.517	0.455	0.933	0.776	0.963	0.982	0.886
CMCC-ESM2_BARPA	[-]	291.	291.	290.	0.871	1.01	0.797	0.631	0.781	0.928	0.977	0.819
CMCC-ESM2_CCAM	[-]	290.	290.	290.	-0.249	0.356	0.769	0.883	0.880	0.941	0.996	0.916
CMCC-ESM2_CMIP6	[-]	289.	289.	290.	-0.731	0.917	1.79	0.677	0.738	0.792	0.996	0.788
CNRM-ESM2-1_CCAM	[-]	287.	287.	290.	-2.51	2.56	1.14	0.270	0.773	0.895	0.974	0.737
CNRM-ESM2-1_CMIP6	[-]	288.	288.	290.	-2.00	2.08	0.862	0.322	0.722	0.942	0.595	0.660
EC-Earth3_BARPA	[-]	290.	290.	290.	0.227	0.703	0.972	0.895	0.712	0.935	0.990	0.849
EC-Earth3_CCAM	[-]	289.	289.	290.	-0.513	0.678	0.555	0.757	0.803	0.959	0.983	0.861
EC-Earth3_CMIP6	[-]	290.	290.	290.	-0.450	0.727	0.927	0.786	0.749	0.938	0.994	0.843
ERA5_BARPA	[-]	290.	290.	290.	0.427	0.468	0.612	0.796	0.915	0.952	0.996	0.915
ERA5_CCAM	[-]	290.	290.	290.	-0.275	0.319	0.267	0.872	0.930	0.982	0.996	0.942
MPI-ESM1-2-HR_BARPA	[-]	290.	290.	290.	0.0600	0.659	0.866	0.889	0.723	0.910	0.984	0.846
NorESM2-MM_BARPA	[-]	291.	291.	290.	0.980	1.04	0.901	0.593	0.841	0.933	0.982	0.838
NorESM2-MM_CCAM	[-]	289.	289.	290.	-1.06	1.11	0.858	0.575	0.839	0.942	0.983	0.836
NorESM2-MM_CMIP6	[-]	289.	289.	290.	-1.17	1.25	0.923	0.527	0.792	0.938	0.995	0.809

Temporally integrated period mean

BENCHMARK MEAN Data not available

MODEL MEAN Data not available

BIAS

BIAS SCORE Data not available

RMSE

RMSE SCORE Data not available

BENCHMARK MAX MONTH Data not available

MODEL MAX MONTH Data not available

DIFFERENCE IN MAX MONTH Data not available

SEASONAL CYCLE SCORE Data not available

SPATIAL TAYLOR DIAGRAM Data not available

MODEL COLORS Data not available

Spatially integrated regional mean

MODEL COLORS Data not available

REGIONAL MEAN Data not available

ANNUAL CYCLE Data not available

MONTHLY ANOMALY Data not available

ANNUAL CYCLE Data not available

Relationships

Mean State
Relationships
All Models
Data Information

	Download Data	500hPaVerticalwind(omega500)\|ERA5 Hellinger Distance [1]	850hPaSpecificHumidity(hus850)\|ERA5 Hellinger Distance [1]	850hPaGeopotentialHeight(zg850)\|ERA5 Hellinger Distance [1]	500hPaVerticalwind(omega500)\|ERA5 Score [1]	850hPaSpecificHumidity(hus850)\|ERA5 Score [1]	850hPaGeopotentialHeight(zg850)\|ERA5 Score [1]	Overall Score [1]
ACCESS-CM2_BARPA	[-]	0.582	0.705	0.833	0.990	0.996	0.997	0.994
ACCESS-CM2_CCAM	[-]		0.695	0.783		0.998	0.989	0.993
ACCESS-CM2_CMIP6	[-]	0.664	0.722	0.742	0.983	0.997	0.996	0.992
ACCESS-ESM1-5_BARPA	[-]	0.527	0.703	0.843	0.990	0.994	0.995	0.993
ACCESS-ESM1-5_CCAM	[-]		0.740	0.687		0.996	0.978	0.987
ACCESS-ESM1-5_CMIP6	[-]	0.619	0.727	0.734	0.981	0.995	0.984	0.986
CESM2_BARPA	[-]	0.604	0.669	0.727	0.990	0.995	0.994	0.993
CESM2_CCAM	[-]		0.684	0.702		0.995	0.993	0.994
CMCC-ESM2_BARPA	[-]	0.622	0.657	0.737	0.992	0.994	0.994	0.994
CMCC-ESM2_CCAM	[-]		0.673	0.674		0.994	0.985	0.990
CMCC-ESM2_CMIP6	[-]	0.643	0.707	0.738	0.984	0.994	0.991	0.990
CNRM-ESM2-1_CCAM	[-]		0.780	0.764		0.994	0.988	0.991
CNRM-ESM2-1_CMIP6	[-]	0.643	0.705	0.752	0.987	0.994	0.990	0.990
EC-Earth3_BARPA	[-]	0.635	0.673	0.745	0.995	0.991	0.988	0.991
EC-Earth3_CCAM	[-]		0.786	0.697		0.997	0.984	0.991
EC-Earth3_CMIP6	[-]	0.580	0.788	0.776	0.982	0.997	0.988	0.989
ERA5_BARPA	[-]	0.570	0.697	0.852	0.991	0.996	0.999	0.995
ERA5_CCAM	[-]		0.791	0.770		0.998	0.989	0.993
MPI-ESM1-2-HR_BARPA	[-]	0.581	0.660	0.789	0.990	0.994	0.997	0.994
NorESM2-MM_BARPA	[-]	0.517	0.682	0.705	0.989	0.996	0.997	0.994
NorESM2-MM_CCAM	[-]		0.647	0.834		0.993	0.993	0.993
NorESM2-MM_CMIP6	[-]	0.674	0.704	0.752	0.986	0.994	0.995	0.992

	Download Data	500hPaVerticalwind(omega500)\|ERA5 Hellinger Distance [1]	850hPaSpecificHumidity(hus850)\|ERA5 Hellinger Distance [1]	850hPaGeopotentialHeight(zg850)\|ERA5 Hellinger Distance [1]	500hPaVerticalwind(omega500)\|ERA5 Score [1]	850hPaSpecificHumidity(hus850)\|ERA5 Score [1]	850hPaGeopotentialHeight(zg850)\|ERA5 Score [1]	Overall Score [1]
ACCESS-CM2_BARPA	[-]	0.648	0.807	0.637	0.998	0.998	0.999	0.998
ACCESS-CM2_CCAM	[-]		0.777	0.623		0.998	0.996	0.997
ACCESS-CM2_CMIP6	[-]	0.712	0.594	0.700	0.995	0.996	0.996	0.996
ACCESS-ESM1-5_BARPA	[-]	0.636	0.809	0.712	0.996	0.995	0.996	0.996
ACCESS-ESM1-5_CCAM	[-]		0.773	0.701		0.995	0.992	0.994
ACCESS-ESM1-5_CMIP6	[-]	0.796	0.647	0.720	0.993	0.995	0.994	0.994
CESM2_BARPA	[-]	0.637	0.806	0.638	0.998	0.999	0.999	0.998
CESM2_CCAM	[-]		0.766	0.680		0.998	0.998	0.998
CMCC-ESM2_BARPA	[-]	0.611	0.813	0.681	0.997	0.998	0.999	0.998
CMCC-ESM2_CCAM	[-]		0.747	0.674		0.999	0.997	0.998
CMCC-ESM2_CMIP6	[-]	0.669	0.653	0.774	0.997	0.997	0.997	0.997
CNRM-ESM2-1_CCAM	[-]		0.792	0.673		0.996	0.998	0.997
CNRM-ESM2-1_CMIP6	[-]	0.693	0.613	0.706	0.997	0.997	0.997	0.997
EC-Earth3_BARPA	[-]	0.643	0.779	0.702	0.995	0.994	0.994	0.995
EC-Earth3_CCAM	[-]		0.764	0.705		0.995	0.994	0.994
EC-Earth3_CMIP6	[-]	0.756	0.693	0.755	0.995	0.995	0.995	0.995
ERA5_BARPA	[-]	0.625	0.799	0.625	0.997	0.998	0.999	0.998
ERA5_CCAM	[-]		0.785	0.695		0.999	0.997	0.998
MPI-ESM1-2-HR_BARPA	[-]	0.657	0.791	0.622	0.998	0.997	0.997	0.997
NorESM2-MM_BARPA	[-]	0.616	0.804	0.697	0.997	0.998	0.998	0.998
NorESM2-MM_CCAM	[-]		0.752	0.660		0.996	0.996	0.996
NorESM2-MM_CMIP6	[-]	0.686	0.637	0.782	0.995	0.995	0.997	0.996

	Download Data	500hPaVerticalwind(omega500)\|ERA5 Hellinger Distance [1]	850hPaSpecificHumidity(hus850)\|ERA5 Hellinger Distance [1]	850hPaGeopotentialHeight(zg850)\|ERA5 Hellinger Distance [1]	500hPaVerticalwind(omega500)\|ERA5 Score [1]	850hPaSpecificHumidity(hus850)\|ERA5 Score [1]	850hPaGeopotentialHeight(zg850)\|ERA5 Score [1]	Overall Score [1]
ACCESS-CM2_BARPA	[-]	0.661	0.746	0.761	0.995	0.999	0.999	0.998
ACCESS-CM2_CCAM	[-]		0.666	0.661		0.998	0.995	0.998
ACCESS-CM2_CMIP6	[-]	0.767	0.623	0.634	0.992	0.998	0.993	0.996
ACCESS-ESM1-5_BARPA	[-]	0.639	0.720	0.755	0.995	0.997	0.996	0.996
ACCESS-ESM1-5_CCAM	[-]		0.671	0.806		0.997	0.986	0.995
ACCESS-ESM1-5_CMIP6	[-]	0.738	0.720	0.799	0.988	0.996	0.990	0.993
CESM2_BARPA	[-]	0.646	0.754	0.725	0.996	0.998	0.997	0.998
CESM2_CCAM	[-]		0.733	0.710		0.999	0.996	0.998
CMCC-ESM2_BARPA	[-]	0.666	0.752	0.761	0.997	0.998	0.997	0.998
CMCC-ESM2_CCAM	[-]		0.742	0.759		0.998	0.992	0.997
CMCC-ESM2_CMIP6	[-]	0.733	0.612	0.833	0.994	0.997	0.992	0.997
CNRM-ESM2-1_CCAM	[-]		0.665	0.662		0.994	0.996	0.995
CNRM-ESM2-1_CMIP6	[-]	0.628	0.602	0.661	0.995	0.996	0.995	0.996
EC-Earth3_BARPA	[-]	0.620	0.687	0.724	0.995	0.995	0.993	0.996
EC-Earth3_CCAM	[-]		0.760	0.664		0.997	0.992	0.996
EC-Earth3_CMIP6	[-]	0.775	0.740	0.757	0.992	0.996	0.994	0.995
ERA5_BARPA	[-]	0.626	0.728	0.743	0.996	0.999	0.999	0.998
ERA5_CCAM	[-]		0.722	0.679		0.998	0.996	0.998
MPI-ESM1-2-HR_BARPA	[-]	0.682	0.705	0.750	0.995	0.998	0.998	0.997
NorESM2-MM_BARPA	[-]	0.627	0.721	0.735	0.996	0.998	0.997	0.997
NorESM2-MM_CCAM	[-]		0.697	0.734		0.994	0.994	0.994
NorESM2-MM_CMIP6	[-]	0.617	0.623	0.716	0.993	0.995	0.993	0.995

	Download Data	500hPaVerticalwind(omega500)\|ERA5 Hellinger Distance [1]	850hPaSpecificHumidity(hus850)\|ERA5 Hellinger Distance [1]	850hPaGeopotentialHeight(zg850)\|ERA5 Hellinger Distance [1]	500hPaVerticalwind(omega500)\|ERA5 Score [1]	850hPaSpecificHumidity(hus850)\|ERA5 Score [1]	850hPaGeopotentialHeight(zg850)\|ERA5 Score [1]	Overall Score [1]
ACCESS-CM2_BARPA	[-]	0.604	0.673	0.631	0.996	0.997	0.997	0.997
ACCESS-CM2_CCAM	[-]		0.657	0.609		0.998	0.999	0.999
ACCESS-CM2_CMIP6	[-]	0.667	0.646	0.691	0.994	0.997	0.997	0.997
ACCESS-ESM1-5_BARPA	[-]	0.601	0.701	0.681	0.994	0.995	0.995	0.995
ACCESS-ESM1-5_CCAM	[-]		0.662	0.655		0.996	0.996	0.996
ACCESS-ESM1-5_CMIP6	[-]	0.748	0.638	0.660	0.990	0.995	0.995	0.995
CESM2_BARPA	[-]	0.631	0.676	0.661	0.995	0.995	0.994	0.995
CESM2_CCAM	[-]		0.711	0.668		0.997	0.998	0.999
CMCC-ESM2_BARPA	[-]	0.707	0.715	0.693	0.995	0.995	0.995	0.995
CMCC-ESM2_CCAM	[-]		0.689	0.683		0.997	0.999	0.998
CMCC-ESM2_CMIP6	[-]	0.686	0.704	0.738	0.997	0.996	0.997	0.997
CNRM-ESM2-1_CCAM	[-]		0.698	0.712		0.992	0.992	0.992
CNRM-ESM2-1_CMIP6	[-]	0.726	0.636	0.645	0.996	0.993	0.995	0.994
EC-Earth3_BARPA	[-]	0.614	0.709	0.743	0.996	0.997	0.995	0.996
EC-Earth3_CCAM	[-]		0.688	0.678		0.998	0.998	0.998
EC-Earth3_CMIP6	[-]	0.693	0.730	0.744	0.997	0.998	0.998	0.998
ERA5_BARPA	[-]	0.630	0.707	0.701	0.997	0.998	0.998	0.997
ERA5_CCAM	[-]		0.719	0.664		0.998	0.998	0.999
MPI-ESM1-2-HR_BARPA	[-]	0.687	0.732	0.789	0.997	0.997	0.997	0.997
NorESM2-MM_BARPA	[-]	0.572	0.641	0.639	0.996	0.996	0.996	0.996
NorESM2-MM_CCAM	[-]		0.726	0.753		0.994	0.995	0.995
NorESM2-MM_CMIP6	[-]	0.710	0.704	0.693	0.995	0.995	0.996	0.996

	Download Data	500hPaVerticalwind(omega500)\|ERA5 Hellinger Distance [1]	850hPaSpecificHumidity(hus850)\|ERA5 Hellinger Distance [1]	850hPaGeopotentialHeight(zg850)\|ERA5 Hellinger Distance [1]	500hPaVerticalwind(omega500)\|ERA5 Score [1]	850hPaSpecificHumidity(hus850)\|ERA5 Score [1]	850hPaGeopotentialHeight(zg850)\|ERA5 Score [1]	Overall Score [1]
ACCESS-CM2_BARPA	[-]	0.433	0.730	0.716	0.998	0.999	0.998	0.998
ACCESS-CM2_CCAM	[-]		0.808	0.810		0.998	0.999	0.999
ACCESS-CM2_CMIP6	[-]	0.773	0.694	0.602	0.996	0.996	0.998	0.997
ACCESS-ESM1-5_BARPA	[-]	0.467	0.748	0.740	0.996	0.996	0.996	0.996
ACCESS-ESM1-5_CCAM	[-]		0.774	0.709		0.996	0.996	0.996
ACCESS-ESM1-5_CMIP6	[-]	0.742	0.589	0.593	0.994	0.993	0.994	0.994
CESM2_BARPA	[-]	0.455	0.733	0.880	0.997	0.997	0.998	0.997
CESM2_CCAM	[-]		0.769	0.695		0.998	0.996	0.997
CMCC-ESM2_BARPA	[-]	0.471	0.738	0.795	0.998	0.999	0.998	0.998
CMCC-ESM2_CCAM	[-]		0.791	0.594		0.999	0.999	0.999
CMCC-ESM2_CMIP6	[-]	0.680	0.603	0.753	0.996	0.997	0.998	0.997
CNRM-ESM2-1_CCAM	[-]		0.772	0.764		0.999	0.999	0.999
CNRM-ESM2-1_CMIP6	[-]	0.779	0.686	0.671	0.996	0.997	0.998	0.997
EC-Earth3_BARPA	[-]	0.436	0.752	0.773	0.995	0.995	0.992	0.994
EC-Earth3_CCAM	[-]		0.782	0.723		0.994	0.994	0.994
EC-Earth3_CMIP6	[-]	0.709	0.662	0.665	0.993	0.994	0.994	0.994
ERA5_BARPA	[-]	0.485	0.722	0.785	0.998	0.999	0.998	0.998
ERA5_CCAM	[-]		0.813	0.748		0.999	0.999	0.999
MPI-ESM1-2-HR_BARPA	[-]	0.443	0.724	0.722	0.998	0.998	0.998	0.998
NorESM2-MM_BARPA	[-]	0.475	0.721	0.878	0.996	0.997	0.998	0.997
NorESM2-MM_CCAM	[-]		0.803	0.801		0.995	0.994	0.994
NorESM2-MM_CMIP6	[-]	0.691	0.551	0.688	0.995	0.994	0.995	0.995

	Download Data	500hPaVerticalwind(omega500)\|ERA5 Hellinger Distance [1]	850hPaSpecificHumidity(hus850)\|ERA5 Hellinger Distance [1]	850hPaGeopotentialHeight(zg850)\|ERA5 Hellinger Distance [1]	500hPaVerticalwind(omega500)\|ERA5 Score [1]	850hPaSpecificHumidity(hus850)\|ERA5 Score [1]	850hPaGeopotentialHeight(zg850)\|ERA5 Score [1]	Overall Score [1]
ACCESS-CM2_BARPA	[-]	0.654	0.725	0.809	0.995	0.996	0.997	0.996
ACCESS-CM2_CCAM	[-]		0.664	0.728		0.998	0.996	0.996
ACCESS-CM2_CMIP6	[-]	0.743	0.715	0.706	0.994	0.996	0.996	0.995
ACCESS-ESM1-5_BARPA	[-]	0.617	0.677	0.801	0.994	0.994	0.993	0.994
ACCESS-ESM1-5_CCAM	[-]		0.725	0.748		0.996	0.992	0.994
ACCESS-ESM1-5_CMIP6	[-]	0.735	0.688	0.733	0.991	0.995	0.992	0.993
CESM2_BARPA	[-]	0.667	0.693	0.736	0.996	0.996	0.996	0.996
CESM2_CCAM	[-]		0.671	0.745		0.996	0.998	0.996
CMCC-ESM2_BARPA	[-]	0.649	0.730	0.763	0.995	0.995	0.997	0.995
CMCC-ESM2_CCAM	[-]		0.640	0.680		0.996	0.998	0.996
CMCC-ESM2_CMIP6	[-]	0.724	0.664	0.729	0.995	0.997	0.997	0.996
CNRM-ESM2-1_CCAM	[-]		0.803	0.737		0.995	0.997	0.996
CNRM-ESM2-1_CMIP6	[-]	0.736	0.684	0.746	0.997	0.995	0.997	0.996
EC-Earth3_BARPA	[-]	0.629	0.681	0.722	0.993	0.992	0.993	0.993
EC-Earth3_CCAM	[-]		0.753	0.750		0.997	0.994	0.994
EC-Earth3_CMIP6	[-]	0.701	0.714	0.750	0.994	0.996	0.996	0.995
ERA5_BARPA	[-]	0.664	0.689	0.803	0.995	0.997	0.999	0.996
ERA5_CCAM	[-]		0.706	0.807		0.998	0.998	0.998
MPI-ESM1-2-HR_BARPA	[-]	0.653	0.645	0.790	0.992	0.994	0.996	0.994
NorESM2-MM_BARPA	[-]	0.644	0.719	0.726	0.997	0.997	0.998	0.996
NorESM2-MM_CCAM	[-]		0.663	0.831		0.993	0.996	0.995
NorESM2-MM_CMIP6	[-]	0.691	0.698	0.741	0.997	0.995	0.995	0.995

	Download Data	500hPaVerticalwind(omega500)\|ERA5 Hellinger Distance [1]	850hPaSpecificHumidity(hus850)\|ERA5 Hellinger Distance [1]	850hPaGeopotentialHeight(zg850)\|ERA5 Hellinger Distance [1]	500hPaVerticalwind(omega500)\|ERA5 Score [1]	850hPaSpecificHumidity(hus850)\|ERA5 Score [1]	850hPaGeopotentialHeight(zg850)\|ERA5 Score [1]	Overall Score [1]
ACCESS-CM2_BARPA	[-]	0.693	0.730	0.811	0.999	0.999	0.997	0.999
ACCESS-CM2_CCAM	[-]		0.702	0.729		0.997	0.999	0.999
ACCESS-CM2_CMIP6	[-]	0.709	0.579	0.521	0.993	0.996	0.999	0.998
ACCESS-ESM1-5_BARPA	[-]	0.671	0.752	0.679	0.996	0.996	0.996	0.997
ACCESS-ESM1-5_CCAM	[-]		0.715	0.723		0.995	0.998	0.998
ACCESS-ESM1-5_CMIP6	[-]	0.822	0.597	0.538	0.988	0.993	0.994	0.994
CESM2_BARPA	[-]	0.708	0.753	0.853	0.995	0.996	0.996	0.995
CESM2_CCAM	[-]		0.769	0.721		0.994	0.995	0.994
CMCC-ESM2_BARPA	[-]	0.711	0.758	0.848	0.997	0.998	0.997	0.997
CMCC-ESM2_CCAM	[-]		0.742	0.613		0.998	0.997	0.997
CMCC-ESM2_CMIP6	[-]	0.720	0.510	0.666	0.993	0.996	0.998	0.997
CNRM-ESM2-1_CCAM	[-]		0.741	0.790		0.998	0.998	0.998
CNRM-ESM2-1_CMIP6	[-]	0.706	0.524	0.469	0.995	0.996	0.998	0.997
EC-Earth3_BARPA	[-]	0.683	0.733	0.845	0.994	0.995	0.993	0.995
EC-Earth3_CCAM	[-]		0.732	0.773		0.993	0.995	0.994
EC-Earth3_CMIP6	[-]	0.749	0.676	0.746	0.993	0.994	0.994	0.994
ERA5_BARPA	[-]	0.663	0.755	0.864	0.997	0.998	0.997	0.998
ERA5_CCAM	[-]		0.761	0.751		0.998	0.999	0.999
MPI-ESM1-2-HR_BARPA	[-]	0.731	0.751	0.756	0.997	0.998	0.997	0.998
NorESM2-MM_BARPA	[-]	0.711	0.781	0.855	0.996	0.996	0.996	0.996
NorESM2-MM_CCAM	[-]		0.736	0.719		0.995	0.994	0.994
NorESM2-MM_CMIP6	[-]	0.645	0.538	0.640	0.993	0.995	0.994	0.994

	Download Data	500hPaVerticalwind(omega500)\|ERA5 Hellinger Distance [1]	850hPaSpecificHumidity(hus850)\|ERA5 Hellinger Distance [1]	850hPaGeopotentialHeight(zg850)\|ERA5 Hellinger Distance [1]	500hPaVerticalwind(omega500)\|ERA5 Score [1]	850hPaSpecificHumidity(hus850)\|ERA5 Score [1]	850hPaGeopotentialHeight(zg850)\|ERA5 Score [1]	Overall Score [1]
ACCESS-CM2_BARPA	[-]	0.754	0.780	0.779	0.998	0.997	0.998	0.998
ACCESS-CM2_CCAM	[-]		0.683	0.714		0.996	0.998	0.997
ACCESS-CM2_CMIP6	[-]	0.671	0.618	0.598	0.992	0.996	0.996	0.995
ACCESS-ESM1-5_BARPA	[-]	0.747	0.763	0.748	0.996	0.996	0.995	0.995
ACCESS-ESM1-5_CCAM	[-]		0.754	0.729		0.996	0.996	0.996
ACCESS-ESM1-5_CMIP6	[-]	0.732	0.575	0.574	0.989	0.992	0.992	0.992
CESM2_BARPA	[-]	0.753	0.734	0.787	0.996	0.994	0.993	0.995
CESM2_CCAM	[-]		0.679	0.741		0.994	0.996	0.995
CMCC-ESM2_BARPA	[-]	0.734	0.756	0.819	0.998	0.996	0.997	0.997
CMCC-ESM2_CCAM	[-]		0.653	0.763		0.995	0.995	0.996
CMCC-ESM2_CMIP6	[-]	0.665	0.590	0.846	0.994	0.996	0.993	0.996
CNRM-ESM2-1_CCAM	[-]		0.744	0.767		0.998	0.998	0.998
CNRM-ESM2-1_CMIP6	[-]	0.567	0.568	0.716	0.993	0.995	0.997	0.996
EC-Earth3_BARPA	[-]	0.686	0.671	0.813	0.994	0.992	0.993	0.993
EC-Earth3_CCAM	[-]		0.739	0.780		0.993	0.992	0.993
EC-Earth3_CMIP6	[-]	0.738	0.661	0.835	0.992	0.993	0.993	0.992
ERA5_BARPA	[-]	0.735	0.760	0.808	0.998	0.996	0.998	0.998
ERA5_CCAM	[-]		0.751	0.814		0.998	0.999	0.999
MPI-ESM1-2-HR_BARPA	[-]	0.739	0.796	0.738	0.998	0.998	0.997	0.998
NorESM2-MM_BARPA	[-]	0.740	0.683	0.779	0.996	0.994	0.993	0.995
NorESM2-MM_CCAM	[-]		0.701	0.724		0.994	0.994	0.994
NorESM2-MM_CMIP6	[-]	0.650	0.591	0.631	0.994	0.995	0.995	0.994

	Download Data	500hPaVerticalwind(omega500)\|ERA5 Hellinger Distance [1]	850hPaSpecificHumidity(hus850)\|ERA5 Hellinger Distance [1]	850hPaGeopotentialHeight(zg850)\|ERA5 Hellinger Distance [1]	500hPaVerticalwind(omega500)\|ERA5 Score [1]	850hPaSpecificHumidity(hus850)\|ERA5 Score [1]	850hPaGeopotentialHeight(zg850)\|ERA5 Score [1]	Overall Score [1]
ACCESS-CM2_BARPA	[-]	0.946	0.634	0.705	0.994	0.998	0.998	0.997
ACCESS-CM2_CCAM	[-]		0.747	0.711		0.999	0.999	0.999
ACCESS-CM2_CMIP6	[-]	0.678	0.736	0.506	0.997	0.995	0.997	0.996
ACCESS-ESM1-5_BARPA	[-]	0.912	0.686	0.742	0.994	0.996	0.996	0.996
ACCESS-ESM1-5_CCAM	[-]		0.713	0.663		0.996	0.996	0.996
ACCESS-ESM1-5_CMIP6	[-]	0.800	0.565	0.544	0.991	0.994	0.994	0.993
CESM2_BARPA	[-]	0.915	0.702	0.737	0.994	0.997	0.997	0.996
CESM2_CCAM	[-]		0.674	0.738		0.999	0.999	0.999
CMCC-ESM2_BARPA	[-]	0.914	0.713	0.752	0.994	0.997	0.998	0.996
CMCC-ESM2_CCAM	[-]		0.717	0.682		0.998	0.999	0.999
CMCC-ESM2_CMIP6	[-]	0.633	0.781	0.639	0.996	0.997	0.997	0.997
CNRM-ESM2-1_CCAM	[-]		0.703	0.689		0.991	0.991	0.991
CNRM-ESM2-1_CMIP6	[-]	0.763	0.763	1.00	0.995	0.995	0.996	0.995
EC-Earth3_BARPA	[-]	0.825	0.719	0.806	0.995	0.999	0.999	0.998
EC-Earth3_CCAM	[-]		0.716	0.701		0.998	0.998	0.998
EC-Earth3_CMIP6	[-]	0.805	0.694	0.760	0.996	0.999	0.998	0.998
ERA5_BARPA	[-]	0.933	0.684	0.751	0.995	0.999	0.999	0.997
ERA5_CCAM	[-]		0.706	0.625		0.998	0.999	0.998
MPI-ESM1-2-HR_BARPA	[-]	0.862	0.662	0.776	0.995	0.999	0.998	0.997
NorESM2-MM_BARPA	[-]	0.936	0.641	0.753	0.995	0.997	0.997	0.996
NorESM2-MM_CCAM	[-]		0.693	0.672		0.994	0.996	0.995
NorESM2-MM_CMIP6	[-]	0.854	0.728	0.613	0.995	0.995	0.996	0.995

	Download Data	500hPaVerticalwind(omega500)\|ERA5 Hellinger Distance [1]	850hPaSpecificHumidity(hus850)\|ERA5 Hellinger Distance [1]	850hPaGeopotentialHeight(zg850)\|ERA5 Hellinger Distance [1]	500hPaVerticalwind(omega500)\|ERA5 Score [1]	850hPaSpecificHumidity(hus850)\|ERA5 Score [1]	850hPaGeopotentialHeight(zg850)\|ERA5 Score [1]	Overall Score [1]
ACCESS-CM2_BARPA	[-]	0.327	0.705	0.740	0.976	0.998	0.981	0.985
ACCESS-CM2_CCAM	[-]		0.433	0.484		0.991	0.986	0.989
ACCESS-CM2_CMIP6	[-]	0.479	0.723	0.580	0.993	0.997	0.995	0.995
ACCESS-ESM1-5_BARPA	[-]	0.362	0.675	0.709	0.979	0.997	0.982	0.986
ACCESS-ESM1-5_CCAM	[-]		0.587	0.816		0.988	0.989	0.989
ACCESS-ESM1-5_CMIP6	[-]	0.659	0.759	0.580	0.975	0.994	0.988	0.986
CESM2_BARPA	[-]	0.332	0.702	0.802	0.972	0.997	0.980	0.983
CESM2_CCAM	[-]		0.433	0.741		0.992	0.990	0.991
CMCC-ESM2_BARPA	[-]	0.315	0.634	0.834	0.978	0.997	0.980	0.985
CMCC-ESM2_CCAM	[-]		0.556	0.828		0.995	0.990	0.992
CMCC-ESM2_CMIP6	[-]	0.531	0.701	0.518	0.987	0.995	0.994	0.992
CNRM-ESM2-1_CCAM	[-]		0.573	0.672		0.996	0.995	0.995
CNRM-ESM2-1_CMIP6	[-]	0.709	0.702	0.536	0.981	0.995	0.997	0.991
EC-Earth3_BARPA	[-]	0.309	0.572	0.766	0.979	0.997	0.978	0.985
EC-Earth3_CCAM	[-]		0.650	0.717		0.991	0.992	0.991
EC-Earth3_CMIP6	[-]	0.418	0.671	0.698	0.996	0.996	0.992	0.995
ERA5_BARPA	[-]	0.329	0.662	0.797	0.976	0.996	0.983	0.985
ERA5_CCAM	[-]		0.655	0.743		0.993	0.996	0.995
MPI-ESM1-2-HR_BARPA	[-]	0.333	0.680	0.756	0.974	0.997	0.981	0.984
NorESM2-MM_BARPA	[-]	0.329	0.715	0.815	0.969	0.998	0.981	0.983
NorESM2-MM_CCAM	[-]		0.647	0.786		0.995	0.991	0.993
NorESM2-MM_CMIP6	[-]	0.425	0.634	0.562	0.976	0.996	0.993	0.989

	Download Data	500hPaVerticalwind(omega500)\|ERA5 Hellinger Distance [1]	850hPaSpecificHumidity(hus850)\|ERA5 Hellinger Distance [1]	850hPaGeopotentialHeight(zg850)\|ERA5 Hellinger Distance [1]	500hPaVerticalwind(omega500)\|ERA5 Score [1]	850hPaSpecificHumidity(hus850)\|ERA5 Score [1]	850hPaGeopotentialHeight(zg850)\|ERA5 Score [1]	Overall Score [1]
ACCESS-CM2_BARPA	[-]	0.370	0.425	0.374	0.997	0.997	0.997	0.997
ACCESS-CM2_CCAM	[-]		0.234	0.254		0.998	0.998	0.998
ACCESS-CM2_CMIP6	[-]	0.375	0.521	0.401	0.997	0.997	0.997	0.997
ACCESS-ESM1-5_BARPA	[-]	0.584	0.636	0.358	0.996	0.996	0.997	0.996
ACCESS-ESM1-5_CCAM	[-]		0.235	0.625		0.996
ACCESS-ESM1-5_CMIP6	[-]	0.435	0.528	0.424	0.995	0.996	0.995	0.995
CESM2_BARPA	[-]	0.368	0.407	0.433	0.996	0.997	0.995	0.996
CESM2_CCAM	[-]		0.236	0.681		0.999
CMCC-ESM2_BARPA	[-]	0.367	0.502	0.415	0.996	0.996	0.996	0.996
CMCC-ESM2_CCAM	[-]		0.358	0.725		0.999
CMCC-ESM2_CMIP6	[-]	0.384	0.535	0.382	1.00	0.999	0.999	0.999
CNRM-ESM2-1_CCAM	[-]		0.308	0.672		0.993
CNRM-ESM2-1_CMIP6	[-]	0.569	0.577	0.612	0.995	0.994	0.994	0.994
EC-Earth3_BARPA	[-]	0.560	0.585	0.473	0.999	0.999	0.997	0.998
EC-Earth3_CCAM	[-]		0.279	0.712		0.998
EC-Earth3_CMIP6	[-]	0.436	0.555	0.436	0.999	0.998	0.999	0.999
ERA5_BARPA	[-]	0.530	0.594	0.410	0.999	0.999	0.997	0.998
ERA5_CCAM	[-]		0.229	0.672		0.999
MPI-ESM1-2-HR_BARPA	[-]	0.505	0.530	0.466	0.998	0.998	0.997	0.998
NorESM2-MM_BARPA	[-]	0.304	0.425	0.356	0.997	0.997	0.998	0.997
NorESM2-MM_CCAM	[-]		0.253	0.659		0.997
NorESM2-MM_CMIP6	[-]	0.454	0.508	0.555	0.997	0.997	0.998	0.997

	Download Data	500hPaVerticalwind(omega500)\|ERA5 Hellinger Distance [1]	850hPaSpecificHumidity(hus850)\|ERA5 Hellinger Distance [1]	850hPaGeopotentialHeight(zg850)\|ERA5 Hellinger Distance [1]	500hPaVerticalwind(omega500)\|ERA5 Score [1]	850hPaSpecificHumidity(hus850)\|ERA5 Score [1]	850hPaGeopotentialHeight(zg850)\|ERA5 Score [1]	Overall Score [1]
ACCESS-CM2_BARPA	[-]	0.648	0.807	0.637	0.998	0.998	0.999	0.998
ACCESS-CM2_CCAM	[-]		0.777	0.623		0.998	0.996	0.997
ACCESS-CM2_CMIP6	[-]	0.712	0.594	0.700	0.995	0.996	0.996	0.996
ACCESS-ESM1-5_BARPA	[-]	0.636	0.809	0.712	0.996	0.995	0.996	0.996
ACCESS-ESM1-5_CCAM	[-]		0.773	0.701		0.995	0.992	0.994
ACCESS-ESM1-5_CMIP6	[-]	0.796	0.647	0.720	0.993	0.995	0.994	0.994
CESM2_BARPA	[-]	0.637	0.806	0.638	0.998	0.999	0.999	0.998
CESM2_CCAM	[-]		0.766	0.680		0.998	0.998	0.998
CMCC-ESM2_BARPA	[-]	0.611	0.813	0.681	0.997	0.998	0.999	0.998
CMCC-ESM2_CCAM	[-]		0.747	0.674		0.999	0.997	0.998
CMCC-ESM2_CMIP6	[-]	0.669	0.653	0.774	0.997	0.997	0.997	0.997
CNRM-ESM2-1_CCAM	[-]		0.792	0.673		0.996	0.998	0.997
CNRM-ESM2-1_CMIP6	[-]	0.693	0.613	0.706	0.997	0.997	0.997	0.997
EC-Earth3_BARPA	[-]	0.643	0.779	0.702	0.995	0.994	0.994	0.995
EC-Earth3_CCAM	[-]		0.764	0.705		0.995	0.994	0.994
EC-Earth3_CMIP6	[-]	0.756	0.693	0.755	0.995	0.995	0.995	0.995
ERA5_BARPA	[-]	0.625	0.799	0.625	0.997	0.998	0.999	0.998
ERA5_CCAM	[-]		0.785	0.695		0.999	0.997	0.998
MPI-ESM1-2-HR_BARPA	[-]	0.657	0.791	0.622	0.998	0.997	0.997	0.997
NorESM2-MM_BARPA	[-]	0.616	0.804	0.697	0.997	0.998	0.998	0.998
NorESM2-MM_CCAM	[-]		0.752	0.660		0.996	0.996	0.996
NorESM2-MM_CMIP6	[-]	0.686	0.637	0.782	0.995	0.995	0.997	0.996

	Download Data	500hPaVerticalwind(omega500)\|ERA5 Hellinger Distance [1]	850hPaSpecificHumidity(hus850)\|ERA5 Hellinger Distance [1]	850hPaGeopotentialHeight(zg850)\|ERA5 Hellinger Distance [1]	500hPaVerticalwind(omega500)\|ERA5 Score [1]	850hPaSpecificHumidity(hus850)\|ERA5 Score [1]	850hPaGeopotentialHeight(zg850)\|ERA5 Score [1]	Overall Score [1]
ACCESS-CM2_BARPA	[-]	0.777	0.769	0.787	0.998	0.997	0.998	0.998
ACCESS-CM2_CCAM	[-]		0.678	0.719		0.999	0.999	0.999
ACCESS-CM2_CMIP6	[-]	0.815	0.652	0.690	0.995	0.997	0.997	0.996
ACCESS-ESM1-5_BARPA	[-]	0.786	0.763	0.791	0.996	0.996	0.996	0.996
ACCESS-ESM1-5_CCAM	[-]		0.696	0.719		0.997	0.996	0.997
ACCESS-ESM1-5_CMIP6	[-]	0.705	0.666	0.638	0.992	0.995	0.996	0.994
CESM2_BARPA	[-]	0.762	0.767	0.807	0.998	0.997	0.998	0.998
CESM2_CCAM	[-]		0.718	0.728		0.997	0.998	0.998
CMCC-ESM2_BARPA	[-]	0.777	0.750	0.797	0.997	0.996	0.998	0.997
CMCC-ESM2_CCAM	[-]		0.722	0.735		0.998	0.999	0.998
CMCC-ESM2_CMIP6	[-]	0.575	0.650	0.630	0.998	0.998	0.997	0.997
CNRM-ESM2-1_CCAM	[-]		0.702	0.707		0.992	0.993	0.992
CNRM-ESM2-1_CMIP6	[-]	0.842	0.779	0.681	0.997	0.995	0.994	0.995
EC-Earth3_BARPA	[-]	0.752	0.747	0.801	0.996	0.995	0.997	0.996
EC-Earth3_CCAM	[-]		0.730	0.764		0.998	0.998	0.998
EC-Earth3_CMIP6	[-]	0.728	0.734	0.738	0.995	0.996	0.998	0.996
ERA5_BARPA	[-]	0.776	0.775	0.803	0.998	0.997	0.999	0.998
ERA5_CCAM	[-]		0.758	0.742		0.999	0.998	0.998
MPI-ESM1-2-HR_BARPA	[-]	0.766	0.724	0.781	0.998	0.996	0.998	0.997
NorESM2-MM_BARPA	[-]	0.750	0.755	0.800	0.998	0.998	0.997	0.998
NorESM2-MM_CCAM	[-]		0.724	0.720		0.994	0.995	0.994
NorESM2-MM_CMIP6	[-]	0.642	0.612	0.633	0.996	0.996	0.995	0.996

	Download Data	500hPaVerticalwind(omega500)\|ERA5 Hellinger Distance [1]	850hPaSpecificHumidity(hus850)\|ERA5 Hellinger Distance [1]	850hPaGeopotentialHeight(zg850)\|ERA5 Hellinger Distance [1]	500hPaVerticalwind(omega500)\|ERA5 Score [1]	850hPaSpecificHumidity(hus850)\|ERA5 Score [1]	850hPaGeopotentialHeight(zg850)\|ERA5 Score [1]	Overall Score [1]
ACCESS-CM2_BARPA	[-]	0.788	0.737	0.747	0.998	0.999	0.999	0.999
ACCESS-CM2_CCAM	[-]		0.725	0.595		0.999	0.999	0.999
ACCESS-CM2_CMIP6	[-]	1.00	0.702	0.594	0.998	0.999	0.997	0.998
ACCESS-ESM1-5_BARPA	[-]	0.791	0.744	0.696	0.996	0.996	0.997	0.996
ACCESS-ESM1-5_CCAM	[-]		0.733	0.632		0.997	0.996	0.996
ACCESS-ESM1-5_CMIP6	[-]	1.00	0.578	0.594	0.994	0.995	0.993	0.994
CESM2_BARPA	[-]	0.802	0.793	0.704	0.998	0.998	0.998	0.998
CESM2_CCAM	[-]		0.731	0.666		0.999	0.999	0.999
CMCC-ESM2_BARPA	[-]	0.788	0.780	0.701	0.998	0.999	0.999	0.999
CMCC-ESM2_CCAM	[-]		0.717	0.632		0.998	0.999	0.999
CMCC-ESM2_CMIP6	[-]	0.780	0.606	0.730	0.998	0.999	0.999	0.999
CNRM-ESM2-1_CCAM	[-]		0.747	0.644		0.997	0.997	0.997
CNRM-ESM2-1_CMIP6	[-]	1.00	0.548	0.591	0.997	0.998	0.998	0.998
EC-Earth3_BARPA	[-]	0.797	0.793	0.693	0.996	0.996	0.997	0.996
EC-Earth3_CCAM	[-]		0.726	0.612		0.996	0.995	0.995
EC-Earth3_CMIP6	[-]	0.823	0.669	0.702	0.995	0.995	0.995	0.995
ERA5_BARPA	[-]	0.774	0.758	0.714	0.998	0.999	0.999	0.998
ERA5_CCAM	[-]		0.735	0.617		0.999	0.999	0.999
MPI-ESM1-2-HR_BARPA	[-]	0.794	0.774	0.776	0.997	0.998	0.998	0.998
NorESM2-MM_BARPA	[-]	0.787	0.788	0.689	0.997	0.997	0.997	0.997
NorESM2-MM_CCAM	[-]		0.706	0.649		0.994	0.995	0.994
NorESM2-MM_CMIP6	[-]	1.00	0.606	0.654	0.995	0.995	0.996	0.995

	Download Data	500hPaVerticalwind(omega500)\|ERA5 Hellinger Distance [1]	850hPaSpecificHumidity(hus850)\|ERA5 Hellinger Distance [1]	850hPaGeopotentialHeight(zg850)\|ERA5 Hellinger Distance [1]	500hPaVerticalwind(omega500)\|ERA5 Score [1]	850hPaSpecificHumidity(hus850)\|ERA5 Score [1]	850hPaGeopotentialHeight(zg850)\|ERA5 Score [1]	Overall Score [1]
ACCESS-CM2_BARPA	[-]	0.586	0.712	0.637	0.996	0.997	0.997	0.997
ACCESS-CM2_CCAM	[-]		0.696	0.620		0.999	0.998	0.999
ACCESS-CM2_CMIP6	[-]	0.727	0.645	0.531	0.996	0.997	0.998	0.997
ACCESS-ESM1-5_BARPA	[-]	0.579	0.749	0.729	0.994	0.995	0.995	0.995
ACCESS-ESM1-5_CCAM	[-]		0.700	0.672		0.996	0.996	0.996
ACCESS-ESM1-5_CMIP6	[-]	0.658	0.670	0.539	0.995	0.995	0.996	0.995
CESM2_BARPA	[-]	0.610	0.692	0.592	0.995	0.996	0.995	0.995
CESM2_CCAM	[-]		0.661	0.603		0.999	0.998	0.998
CMCC-ESM2_BARPA	[-]	0.634	0.789	0.733	0.995	0.995	0.995	0.995
CMCC-ESM2_CCAM	[-]		0.735	0.712		0.998	0.999	0.999
CMCC-ESM2_CMIP6	[-]	0.665	0.724	0.662	0.997	0.996	0.996	0.996
CNRM-ESM2-1_CCAM	[-]		0.741	0.655		0.992	0.992	0.992
CNRM-ESM2-1_CMIP6	[-]	0.736	0.704	0.634	0.994	0.992	0.994	0.993
EC-Earth3_BARPA	[-]	0.647	0.684	0.717	0.996	0.997	0.995	0.996
EC-Earth3_CCAM	[-]		0.647	0.613		0.999	0.998	0.998
EC-Earth3_CMIP6	[-]	0.727	0.709	0.713	0.997	0.998	0.998	0.998
ERA5_BARPA	[-]	0.606	0.742	0.711	0.997	0.998	0.997	0.997
ERA5_CCAM	[-]		0.725	0.666		0.999	0.999	0.999
MPI-ESM1-2-HR_BARPA	[-]	0.625	0.703	0.680	0.996	0.998	0.997	0.997
NorESM2-MM_BARPA	[-]	0.586	0.687	0.612	0.996	0.997	0.996	0.996
NorESM2-MM_CCAM	[-]		0.705	0.699		0.994	0.995	0.995
NorESM2-MM_CMIP6	[-]	0.684	0.689	0.673	0.996	0.995	0.996	0.995

	Download Data	500hPaVerticalwind(omega500)\|ERA5 Hellinger Distance [1]	850hPaSpecificHumidity(hus850)\|ERA5 Hellinger Distance [1]	850hPaGeopotentialHeight(zg850)\|ERA5 Hellinger Distance [1]	500hPaVerticalwind(omega500)\|ERA5 Score [1]	850hPaSpecificHumidity(hus850)\|ERA5 Score [1]	850hPaGeopotentialHeight(zg850)\|ERA5 Score [1]	Overall Score [1]
ACCESS-CM2_BARPA	[-]	0.725	0.726	0.687	0.996	0.997	0.997	0.997
ACCESS-CM2_CCAM	[-]		0.729	0.670		0.999	0.999	0.999
ACCESS-CM2_CMIP6	[-]	0.583	0.609	0.685	0.997	0.998	0.997	0.997
ACCESS-ESM1-5_BARPA	[-]	0.722	0.726	0.711	0.995	0.995	0.995	0.995
ACCESS-ESM1-5_CCAM	[-]		0.710	0.685		0.996	0.996	0.996
ACCESS-ESM1-5_CMIP6	[-]	0.505	0.612	0.669	0.995	0.996	0.995	0.996
CESM2_BARPA	[-]	0.708	0.705	0.677	0.995	0.995	0.995	0.995
CESM2_CCAM	[-]		0.719	0.720		1.00	0.999	0.999
CMCC-ESM2_BARPA	[-]	0.713	0.714	0.705	0.994	0.995	0.995	0.994
CMCC-ESM2_CCAM	[-]		0.713	0.691		0.998	0.999	0.999
CMCC-ESM2_CMIP6	[-]	0.638	0.622	0.689	0.998	0.998	0.998	0.998
CNRM-ESM2-1_CCAM	[-]		0.727	0.733		0.993	0.992	0.992
CNRM-ESM2-1_CMIP6	[-]	0.563	0.629	0.570	0.995	0.995	0.995	0.995
EC-Earth3_BARPA	[-]	0.698	0.746	0.744	0.997	0.997	0.997	0.997
EC-Earth3_CCAM	[-]		0.720	0.731		0.998	0.998	0.998
EC-Earth3_CMIP6	[-]	0.665	0.726	0.688	0.998	0.998	0.998	0.998
ERA5_BARPA	[-]	0.721	0.728	0.727	0.998	0.998	0.998	0.998
ERA5_CCAM	[-]		0.721	0.745		0.999	0.999	0.999
MPI-ESM1-2-HR_BARPA	[-]	0.734	0.738	0.720	0.997	0.997	0.997	0.997
NorESM2-MM_BARPA	[-]	0.687	0.678	0.703	0.996	0.996	0.996	0.996
NorESM2-MM_CCAM	[-]		0.708	0.698		0.996	0.995	0.995
NorESM2-MM_CMIP6	[-]	0.613	0.640	0.637	0.997	0.997	0.997	0.997

	Download Data	500hPaVerticalwind(omega500)\|ERA5 Hellinger Distance [1]	850hPaSpecificHumidity(hus850)\|ERA5 Hellinger Distance [1]	850hPaGeopotentialHeight(zg850)\|ERA5 Hellinger Distance [1]	500hPaVerticalwind(omega500)\|ERA5 Score [1]	850hPaSpecificHumidity(hus850)\|ERA5 Score [1]	850hPaGeopotentialHeight(zg850)\|ERA5 Score [1]	Overall Score [1]
ACCESS-CM2_BARPA	[-]	0.433	0.730	0.716	0.998	0.999	0.998	0.998
ACCESS-CM2_CCAM	[-]		0.808	0.810		0.998	0.999	0.999
ACCESS-CM2_CMIP6	[-]	0.773	0.694	0.602	0.996	0.996	0.998	0.997
ACCESS-ESM1-5_BARPA	[-]	0.467	0.748	0.740	0.996	0.996	0.996	0.996
ACCESS-ESM1-5_CCAM	[-]		0.774	0.709		0.996	0.996	0.996
ACCESS-ESM1-5_CMIP6	[-]	0.742	0.589	0.593	0.994	0.993	0.994	0.994
CESM2_BARPA	[-]	0.455	0.733	0.880	0.997	0.997	0.998	0.997
CESM2_CCAM	[-]		0.769	0.695		0.998	0.996	0.997
CMCC-ESM2_BARPA	[-]	0.471	0.738	0.795	0.998	0.999	0.998	0.998
CMCC-ESM2_CCAM	[-]		0.791	0.594		0.999	0.999	0.999
CMCC-ESM2_CMIP6	[-]	0.680	0.603	0.753	0.996	0.997	0.998	0.997
CNRM-ESM2-1_CCAM	[-]		0.772	0.764		0.999	0.999	0.999
CNRM-ESM2-1_CMIP6	[-]	0.779	0.686	0.671	0.996	0.997	0.998	0.997
EC-Earth3_BARPA	[-]	0.436	0.752	0.773	0.995	0.995	0.992	0.994
EC-Earth3_CCAM	[-]		0.782	0.723		0.994	0.994	0.994
EC-Earth3_CMIP6	[-]	0.709	0.662	0.665	0.993	0.994	0.994	0.994
ERA5_BARPA	[-]	0.485	0.722	0.785	0.998	0.999	0.998	0.998
ERA5_CCAM	[-]		0.813	0.748		0.999	0.999	0.999
MPI-ESM1-2-HR_BARPA	[-]	0.443	0.724	0.722	0.998	0.998	0.998	0.998
NorESM2-MM_BARPA	[-]	0.475	0.721	0.878	0.996	0.997	0.998	0.997
NorESM2-MM_CCAM	[-]		0.803	0.801		0.995	0.994	0.994
NorESM2-MM_CMIP6	[-]	0.691	0.551	0.688	0.995	0.994	0.995	0.995

	Download Data	500hPaVerticalwind(omega500)\|ERA5 Hellinger Distance [1]	850hPaSpecificHumidity(hus850)\|ERA5 Hellinger Distance [1]	850hPaGeopotentialHeight(zg850)\|ERA5 Hellinger Distance [1]	500hPaVerticalwind(omega500)\|ERA5 Score [1]	850hPaSpecificHumidity(hus850)\|ERA5 Score [1]	850hPaGeopotentialHeight(zg850)\|ERA5 Score [1]	Overall Score [1]
ACCESS-CM2_BARPA	[-]	0.540	0.735	0.799	0.996	0.997	0.998	0.997
ACCESS-CM2_CCAM	[-]		0.756	0.732		0.998	0.997	0.998
ACCESS-CM2_CMIP6	[-]	0.672	0.642	0.649	0.995	0.996	0.997	0.996
ACCESS-ESM1-5_BARPA	[-]	0.529	0.712	0.784	0.996	0.994	0.996	0.995
ACCESS-ESM1-5_CCAM	[-]		0.757	0.754		0.996	0.996	0.996
ACCESS-ESM1-5_CMIP6	[-]	0.640	0.655	0.670	0.995	0.995	0.995	0.995
CESM2_BARPA	[-]	0.560	0.743	0.746	0.995	0.996	0.997	0.996
CESM2_CCAM	[-]		0.700	0.757		0.996	0.999	0.997
CMCC-ESM2_BARPA	[-]	0.541	0.777	0.774	0.996	0.995	0.997	0.996
CMCC-ESM2_CCAM	[-]		0.697	0.685		0.997	0.996	0.996
CMCC-ESM2_CMIP6	[-]	0.661	0.666	0.719	0.998	0.997	0.996	0.997
CNRM-ESM2-1_CCAM	[-]		0.817	0.747		0.995	0.995	0.995
CNRM-ESM2-1_CMIP6	[-]	0.651	0.690	0.732	0.996	0.996	0.996	0.996
EC-Earth3_BARPA	[-]	0.533	0.675	0.707	0.995	0.993	0.996	0.995
EC-Earth3_CCAM	[-]		0.711	0.708		0.997	0.996	0.996
EC-Earth3_CMIP6	[-]	0.693	0.739	0.751	0.997	0.997	0.997	0.997
ERA5_BARPA	[-]	0.553	0.684	0.802	0.996	0.997	0.999	0.997
ERA5_CCAM	[-]		0.715	0.791		0.999	0.999	0.999
MPI-ESM1-2-HR_BARPA	[-]	0.560	0.691	0.792	0.996	0.995	0.996	0.995
NorESM2-MM_BARPA	[-]	0.552	0.670	0.752	0.992	0.997	0.996	0.995
NorESM2-MM_CCAM	[-]		0.709	0.809		0.994	0.995	0.995
NorESM2-MM_CMIP6	[-]	0.708	0.688	0.740	0.996	0.995	0.996	0.996

	Download Data	500hPaVerticalwind(omega500)\|ERA5 Hellinger Distance [1]	850hPaSpecificHumidity(hus850)\|ERA5 Hellinger Distance [1]	850hPaGeopotentialHeight(zg850)\|ERA5 Hellinger Distance [1]	500hPaVerticalwind(omega500)\|ERA5 Score [1]	850hPaSpecificHumidity(hus850)\|ERA5 Score [1]	850hPaGeopotentialHeight(zg850)\|ERA5 Score [1]	Overall Score [1]
ACCESS-CM2_BARPA	[-]	0.633	0.631	0.831	0.993	0.994	0.995	0.994
ACCESS-CM2_CCAM	[-]		0.631	0.786		0.995	0.994	0.995
ACCESS-CM2_CMIP6	[-]	0.756	0.583	0.613	0.992	0.996	0.996	0.995
ACCESS-ESM1-5_BARPA	[-]	0.640	0.718	0.819	0.990	0.993	0.994	0.992
ACCESS-ESM1-5_CCAM	[-]		0.624	0.700		0.996	0.991	0.993
ACCESS-ESM1-5_CMIP6	[-]	0.702	0.589	0.680	0.989	0.994	0.989	0.991
CESM2_BARPA	[-]	0.628	0.650	0.758	0.996	0.995	0.992	0.994
CESM2_CCAM	[-]		0.730	0.703		0.993	0.996	0.995
CMCC-ESM2_BARPA	[-]	0.638	0.629	0.811	0.994	0.993	0.996	0.994
CMCC-ESM2_CCAM	[-]		0.701	0.763		0.997	0.995	0.996
CMCC-ESM2_CMIP6	[-]	0.742	0.616	0.738	0.994	0.996	0.995	0.995
CNRM-ESM2-1_CCAM	[-]		0.713	0.770		0.998	0.996	0.997
CNRM-ESM2-1_CMIP6	[-]	0.705	0.650	0.668	0.996	0.995	0.996	0.996
EC-Earth3_BARPA	[-]	0.650	0.690	0.767	0.990	0.989	0.992	0.991
EC-Earth3_CCAM	[-]		0.651	0.750		0.991	0.991	0.991
EC-Earth3_CMIP6	[-]	0.745	0.713	0.789	0.992	0.990	0.992	0.992
ERA5_BARPA	[-]	0.654	0.665	0.848	0.995	0.995	0.997	0.996
ERA5_CCAM	[-]		0.648	0.840		0.996	0.996	0.996
MPI-ESM1-2-HR_BARPA	[-]	0.646	0.624	0.785	0.993	0.992	0.992	0.992
NorESM2-MM_BARPA	[-]	0.614	0.606	0.760	0.996	0.995	0.993	0.995
NorESM2-MM_CCAM	[-]		0.622	0.823		0.995	0.994	0.995
NorESM2-MM_CMIP6	[-]	0.722	0.611	0.691	0.997	0.995	0.993	0.995

	Download Data	500hPaVerticalwind(omega500)\|ERA5 Hellinger Distance [1]	850hPaSpecificHumidity(hus850)\|ERA5 Hellinger Distance [1]	850hPaGeopotentialHeight(zg850)\|ERA5 Hellinger Distance [1]	500hPaVerticalwind(omega500)\|ERA5 Score [1]	850hPaSpecificHumidity(hus850)\|ERA5 Score [1]	850hPaGeopotentialHeight(zg850)\|ERA5 Score [1]	Overall Score [1]
ACCESS-CM2_BARPA	[-]	0.898	0.855	0.845	0.998	0.999	0.999	0.999
ACCESS-CM2_CCAM	[-]		0.730	0.700		0.999	0.999	0.999
ACCESS-CM2_CMIP6	[-]	1.00	1.00	0.433	0.998	0.995	0.997	0.997
ACCESS-ESM1-5_BARPA	[-]	0.876	0.834	0.857	0.997	0.998	0.998	0.998
ACCESS-ESM1-5_CCAM	[-]		0.696	0.712		0.998	0.999	0.999
ACCESS-ESM1-5_CMIP6	[-]	1.00	1.00	0.433	0.997	0.996	0.998	0.997
CESM2_BARPA	[-]	0.899	0.876	0.855	0.995	0.995	0.995	0.995
CESM2_CCAM	[-]		0.722	0.731		0.993	0.993	0.993
CMCC-ESM2_BARPA	[-]	0.912	0.881	0.850	0.997	0.997	0.997	0.997
CMCC-ESM2_CCAM	[-]		0.719	0.739		0.996	0.997	0.997
CMCC-ESM2_CMIP6	[-]	1.00	0.599	0.433	0.996	0.996	0.996	0.996
CNRM-ESM2-1_CCAM	[-]		0.703	0.718		0.998	0.998	0.998
CNRM-ESM2-1_CMIP6	[-]	1.00	1.00	0.433	0.997	0.995	0.998	0.997
EC-Earth3_BARPA	[-]	0.911	0.903	0.844	0.995	0.995	0.996	0.995
EC-Earth3_CCAM	[-]		0.711	0.688		0.994	0.995	0.995
EC-Earth3_CMIP6	[-]	1.00	1.00	0.732	0.994	0.994	0.995	0.994
ERA5_BARPA	[-]	0.886	0.856	0.826	0.998	0.998	0.998	0.998
ERA5_CCAM	[-]		0.734	0.689		0.998	1.00	0.999
MPI-ESM1-2-HR_BARPA	[-]	0.912	0.831	0.856	0.997	0.997	0.997	0.997
NorESM2-MM_BARPA	[-]	0.904	0.854	0.813	0.996	0.996	0.996	0.996
NorESM2-MM_CCAM	[-]		0.757	0.700		0.994	0.993	0.994
NorESM2-MM_CMIP6	[-]	1.00	0.599	0.433	0.994	0.993	0.993	0.994

	Download Data	500hPaVerticalwind(omega500)\|ERA5 Hellinger Distance [1]	850hPaSpecificHumidity(hus850)\|ERA5 Hellinger Distance [1]	850hPaGeopotentialHeight(zg850)\|ERA5 Hellinger Distance [1]	500hPaVerticalwind(omega500)\|ERA5 Score [1]	850hPaSpecificHumidity(hus850)\|ERA5 Score [1]	850hPaGeopotentialHeight(zg850)\|ERA5 Score [1]	Overall Score [1]
ACCESS-CM2_BARPA	[-]	0.854	0.826	0.811	0.998	0.999	0.999	0.999
ACCESS-CM2_CCAM	[-]		0.743	0.726		0.999	0.999	0.999
ACCESS-CM2_CMIP6	[-]	1.00	1.00	1.00	1.00	0.998	0.999	0.999
ACCESS-ESM1-5_BARPA	[-]	0.822	0.832	0.775	0.998	0.998	0.998	0.998
ACCESS-ESM1-5_CCAM	[-]		0.719	0.690		0.998	0.999	0.999
ACCESS-ESM1-5_CMIP6	[-]	1.00	1.00	1.00	0.996	0.993	0.994	0.994
CESM2_BARPA	[-]	0.813	0.858	0.822	0.994	0.994	0.995	0.994
CESM2_CCAM	[-]		0.747	0.748		0.992	0.993	0.993
CMCC-ESM2_BARPA	[-]	0.842	0.852	0.806	0.996	0.997	0.997	0.997
CMCC-ESM2_CCAM	[-]		0.741	0.763		0.997	0.997	0.997
CMCC-ESM2_CMIP6	[-]	1.00	0.718	0.574	0.997	0.996	0.996	0.996
CNRM-ESM2-1_CCAM	[-]		0.764	0.700		0.997	0.998	0.997
CNRM-ESM2-1_CMIP6	[-]	1.00	0.718	0.447	0.998	0.998	0.998	0.998
EC-Earth3_BARPA	[-]	0.876	0.833	0.803	0.995	0.995	0.995	0.995
EC-Earth3_CCAM	[-]		0.715	0.716		0.994	0.994	0.994
EC-Earth3_CMIP6	[-]	0.839	0.741	0.606	0.994	0.994	0.994	0.994
ERA5_BARPA	[-]	0.813	0.835	0.808	0.998	0.998	0.999	0.998
ERA5_CCAM	[-]		0.741	0.746		0.999	0.999	0.999
MPI-ESM1-2-HR_BARPA	[-]	0.846	0.832	0.787	0.996	0.997	0.997	0.997
NorESM2-MM_BARPA	[-]	0.824	0.829	0.795	0.996	0.995	0.996	0.996
NorESM2-MM_CCAM	[-]		0.730	0.735		0.993	0.994	0.994
NorESM2-MM_CMIP6	[-]	1.00	0.718	0.574	0.995	0.993	0.994	0.994

	Download Data	500hPaVerticalwind(omega500)\|ERA5 Hellinger Distance [1]	850hPaSpecificHumidity(hus850)\|ERA5 Hellinger Distance [1]	850hPaGeopotentialHeight(zg850)\|ERA5 Hellinger Distance [1]	500hPaVerticalwind(omega500)\|ERA5 Score [1]	850hPaSpecificHumidity(hus850)\|ERA5 Score [1]	850hPaGeopotentialHeight(zg850)\|ERA5 Score [1]	Overall Score [1]
ACCESS-CM2_BARPA	[-]	0.844	0.739	0.909	0.998	0.999	0.998	0.998
ACCESS-CM2_CCAM	[-]		0.768	0.688		0.998	0.999	0.999
ACCESS-CM2_CMIP6	[-]	0.661	0.521	0.441	0.997	0.998	0.998	0.998
ACCESS-ESM1-5_BARPA	[-]	0.832	0.758	0.771	0.996	0.996	0.996	0.996
ACCESS-ESM1-5_CCAM	[-]		0.735	0.682		0.996	0.998	0.997
ACCESS-ESM1-5_CMIP6	[-]	1.00	0.521	0.441	0.994	0.993	0.994	0.993
CESM2_BARPA	[-]	0.829	0.771	0.940	0.997	0.997	0.997	0.997
CESM2_CCAM	[-]		0.722	0.723		0.997	0.997	0.997
CMCC-ESM2_BARPA	[-]	0.838	0.781	0.959	0.998	0.999	0.998	0.998
CMCC-ESM2_CCAM	[-]		0.750	0.713		0.998	0.998	0.998
CMCC-ESM2_CMIP6	[-]	0.781	0.541	0.577	0.996	0.999	0.998	0.998
CNRM-ESM2-1_CCAM	[-]		0.766	0.704		0.998	0.998	0.998
CNRM-ESM2-1_CMIP6	[-]	0.492	0.521	0.521	0.995	0.998	0.997	0.997
EC-Earth3_BARPA	[-]	0.809	0.750	0.950	0.995	0.996	0.994	0.995
EC-Earth3_CCAM	[-]		0.751	0.717		0.994	0.995	0.994
EC-Earth3_CMIP6	[-]	1.00	0.739	0.767	0.993	0.994	0.994	0.994
ERA5_BARPA	[-]	0.855	0.739	0.967	0.998	0.999	0.998	0.998
ERA5_CCAM	[-]		0.759	0.705		0.998	0.999	0.999
MPI-ESM1-2-HR_BARPA	[-]	0.832	0.747	0.904	0.998	0.999	0.997	0.998
NorESM2-MM_BARPA	[-]	0.832	0.738	0.920	0.997	0.997	0.997	0.997
NorESM2-MM_CCAM	[-]		0.721	0.712		0.995	0.994	0.995
NorESM2-MM_CMIP6	[-]	0.781	0.621	0.600	0.994	0.995	0.994	0.994

	Download Data	500hPaVerticalwind(omega500)\|ERA5 Hellinger Distance [1]	850hPaSpecificHumidity(hus850)\|ERA5 Hellinger Distance [1]	850hPaGeopotentialHeight(zg850)\|ERA5 Hellinger Distance [1]	500hPaVerticalwind(omega500)\|ERA5 Score [1]	850hPaSpecificHumidity(hus850)\|ERA5 Score [1]	850hPaGeopotentialHeight(zg850)\|ERA5 Score [1]	Overall Score [1]
ACCESS-CM2_BARPA	[-]	0.792	0.827	0.793	0.999	0.999	1.00	0.999
ACCESS-CM2_CCAM	[-]		0.742	0.704		0.999	0.999	0.999
ACCESS-CM2_CMIP6	[-]	0.668	1.00	1.00	0.999	0.999	0.998	0.999
ACCESS-ESM1-5_BARPA	[-]	0.796	0.849	0.753	0.997	0.997	0.997	0.997
ACCESS-ESM1-5_CCAM	[-]		0.729	0.714		0.997	0.997	0.997
ACCESS-ESM1-5_CMIP6	[-]	0.530	1.00	0.530	0.996	0.995	0.995	0.995
CESM2_BARPA	[-]	0.805	0.856	0.749	0.996	0.996	0.996	0.996
CESM2_CCAM	[-]		0.768	0.693		0.995	0.995	0.995
CMCC-ESM2_BARPA	[-]	0.782	0.835	0.771	0.998	0.998	0.997	0.998
CMCC-ESM2_CCAM	[-]		0.728	0.751		0.998	0.998	0.998
CMCC-ESM2_CMIP6	[-]	0.760	1.00	0.660	0.997	0.997	0.997	0.997
CNRM-ESM2-1_CCAM	[-]		0.739	0.672		0.999	0.999	0.999
CNRM-ESM2-1_CMIP6	[-]	1.00	0.369	1.00	0.999	0.998	0.999	0.998
EC-Earth3_BARPA	[-]	0.849	0.874	0.716	0.995	0.995	0.995	0.995
EC-Earth3_CCAM	[-]		0.729	0.738		0.994	0.994	0.994
EC-Earth3_CMIP6	[-]	0.872	0.872	0.743	0.995	0.995	0.995	0.995
ERA5_BARPA	[-]	0.817	0.843	0.806	0.999	0.999	0.999	0.999
ERA5_CCAM	[-]		0.736	0.661		0.999	1.00	1.00
MPI-ESM1-2-HR_BARPA	[-]	0.836	0.850	0.796	0.999	0.998	0.999	0.999
NorESM2-MM_BARPA	[-]	0.781	0.843	0.780	0.996	0.996	0.996	0.996
NorESM2-MM_CCAM	[-]		0.767	0.705		0.994	0.994	0.994
NorESM2-MM_CMIP6	[-]	1.00	1.00	0.660	0.993	0.994	0.994	0.994

	Download Data	500hPaVerticalwind(omega500)\|ERA5 Hellinger Distance [1]	850hPaSpecificHumidity(hus850)\|ERA5 Hellinger Distance [1]	850hPaGeopotentialHeight(zg850)\|ERA5 Hellinger Distance [1]	500hPaVerticalwind(omega500)\|ERA5 Score [1]	850hPaSpecificHumidity(hus850)\|ERA5 Score [1]	850hPaGeopotentialHeight(zg850)\|ERA5 Score [1]	Overall Score [1]
ACCESS-CM2_BARPA	[-]	0.788	0.824	0.753	0.998	0.999	0.999	0.999
ACCESS-CM2_CCAM	[-]		0.714	0.741		0.998	0.998	0.998
ACCESS-CM2_CMIP6	[-]	1.00	1.00	0.468	0.996	0.996	0.998	0.997
ACCESS-ESM1-5_BARPA	[-]	0.785	0.793	0.764	0.996	0.997	0.996	0.996
ACCESS-ESM1-5_CCAM	[-]		0.708	0.728		0.996	0.997	0.996
ACCESS-ESM1-5_CMIP6	[-]	1.00	1.00	0.441	0.993	0.995	0.994	0.994
CESM2_BARPA	[-]	0.769	0.815	0.737	0.995	0.996	0.997	0.996
CESM2_CCAM	[-]		0.747	0.716		0.995	0.995	0.995
CMCC-ESM2_BARPA	[-]	0.770	0.836	0.764	0.997	0.997	0.998	0.997
CMCC-ESM2_CCAM	[-]		0.743	0.648		0.998	0.999	0.999
CMCC-ESM2_CMIP6	[-]	1.00	0.721	0.675	0.998	0.998	0.999	0.998
CNRM-ESM2-1_CCAM	[-]		0.730	0.641		0.999	0.999	0.999
CNRM-ESM2-1_CMIP6	[-]	1.00	0.553	0.590	0.996	0.998	0.998	0.997
EC-Earth3_BARPA	[-]	0.762	0.799	0.793	0.995	0.995	0.994	0.995
EC-Earth3_CCAM	[-]		0.705	0.744		0.994	0.994	0.994
EC-Earth3_CMIP6	[-]	0.786	0.752	0.661	0.993	0.994	0.995	0.994
ERA5_BARPA	[-]	0.785	0.817	0.745	0.998	0.998	0.999	0.998
ERA5_CCAM	[-]		0.725	0.762		0.999	1.00	0.999
MPI-ESM1-2-HR_BARPA	[-]	0.790	0.809	0.773	0.997	0.999	0.999	0.998
NorESM2-MM_BARPA	[-]	0.807	0.842	0.763	0.995	0.995	0.996	0.995
NorESM2-MM_CCAM	[-]		0.737	0.722		0.994	0.994	0.994
NorESM2-MM_CMIP6	[-]	0.815	0.815	0.649	0.993	0.995	0.995	0.994

	Download Data	500hPaVerticalwind(omega500)\|ERA5 Hellinger Distance [1]	850hPaSpecificHumidity(hus850)\|ERA5 Hellinger Distance [1]	850hPaGeopotentialHeight(zg850)\|ERA5 Hellinger Distance [1]	500hPaVerticalwind(omega500)\|ERA5 Score [1]	850hPaSpecificHumidity(hus850)\|ERA5 Score [1]	850hPaGeopotentialHeight(zg850)\|ERA5 Score [1]	Overall Score [1]
ACCESS-CM2_BARPA	[-]	0.742	0.766	0.823	0.997	0.997	0.999	0.998
ACCESS-CM2_CCAM	[-]		0.700	0.784		0.994	0.997	0.996
ACCESS-CM2_CMIP6	[-]	0.628	0.610	0.578	0.992	0.994	0.997	0.995
ACCESS-ESM1-5_BARPA	[-]	0.744	0.782	0.811	0.994	0.993	0.996	0.994
ACCESS-ESM1-5_CCAM	[-]		0.756	0.743		0.994	0.996	0.995
ACCESS-ESM1-5_CMIP6	[-]	0.664	0.596	0.552	0.990	0.989	0.993	0.991
CESM2_BARPA	[-]	0.724	0.745	0.713	0.997	0.995	0.996	0.996
CESM2_CCAM	[-]		0.744	0.758		0.991	0.997	0.994
CMCC-ESM2_BARPA	[-]	0.745	0.774	0.820	0.997	0.997	0.997	0.997
CMCC-ESM2_CCAM	[-]		0.723	0.799		0.993	0.997	0.995
CMCC-ESM2_CMIP6	[-]	0.674	0.568	0.700	0.994	0.996	0.994	0.994
CNRM-ESM2-1_CCAM	[-]		0.760	0.816		0.998	0.998	0.998
CNRM-ESM2-1_CMIP6	[-]	0.745	0.560	0.600	0.995	0.995	0.998	0.996
EC-Earth3_BARPA	[-]	0.711	0.739	0.838	0.992	0.986	0.993	0.990
EC-Earth3_CCAM	[-]		0.710	0.803		0.991	0.992	0.991
EC-Earth3_CMIP6	[-]	0.730	0.641	0.780	0.989	0.992	0.993	0.991
ERA5_BARPA	[-]	0.743	0.793	0.814	0.997	0.997	0.999	0.998
ERA5_CCAM	[-]		0.761	0.808		0.998	0.998	0.998
MPI-ESM1-2-HR_BARPA	[-]	0.743	0.820	0.780	0.996	0.998	0.998	0.997
NorESM2-MM_BARPA	[-]	0.714	0.680	0.758	0.997	0.995	0.996	0.996
NorESM2-MM_CCAM	[-]		0.717	0.768		0.995	0.994	0.995
NorESM2-MM_CMIP6	[-]	0.658	0.571	0.631	0.993	0.995	0.995	0.994

	Download Data	500hPaVerticalwind(omega500)\|ERA5 Hellinger Distance [1]	850hPaSpecificHumidity(hus850)\|ERA5 Hellinger Distance [1]	850hPaGeopotentialHeight(zg850)\|ERA5 Hellinger Distance [1]	500hPaVerticalwind(omega500)\|ERA5 Score [1]	850hPaSpecificHumidity(hus850)\|ERA5 Score [1]	850hPaGeopotentialHeight(zg850)\|ERA5 Score [1]	Overall Score [1]
ACCESS-CM2_BARPA	[-]	0.946	0.634	0.705	0.994	0.998	0.998	0.997
ACCESS-CM2_CCAM	[-]		0.747	0.711		0.999	0.999	0.999
ACCESS-CM2_CMIP6	[-]	0.678	0.736	0.506	0.997	0.995	0.997	0.996
ACCESS-ESM1-5_BARPA	[-]	0.912	0.686	0.742	0.994	0.996	0.996	0.996
ACCESS-ESM1-5_CCAM	[-]		0.713	0.663		0.996	0.996	0.996
ACCESS-ESM1-5_CMIP6	[-]	0.800	0.565	0.544	0.991	0.994	0.994	0.993
CESM2_BARPA	[-]	0.915	0.702	0.737	0.994	0.997	0.997	0.996
CESM2_CCAM	[-]		0.674	0.738		0.999	0.999	0.999
CMCC-ESM2_BARPA	[-]	0.914	0.713	0.752	0.994	0.997	0.998	0.996
CMCC-ESM2_CCAM	[-]		0.717	0.682		0.998	0.999	0.999
CMCC-ESM2_CMIP6	[-]	0.633	0.781	0.639	0.996	0.997	0.997	0.997
CNRM-ESM2-1_CCAM	[-]		0.703	0.689		0.991	0.991	0.991
CNRM-ESM2-1_CMIP6	[-]	0.763	0.763	1.00	0.995	0.995	0.996	0.995
EC-Earth3_BARPA	[-]	0.825	0.719	0.806	0.995	0.999	0.999	0.998
EC-Earth3_CCAM	[-]		0.716	0.701		0.998	0.998	0.998
EC-Earth3_CMIP6	[-]	0.805	0.694	0.760	0.996	0.999	0.998	0.998
ERA5_BARPA	[-]	0.933	0.684	0.751	0.995	0.999	0.999	0.997
ERA5_CCAM	[-]		0.706	0.625		0.998	0.999	0.998
MPI-ESM1-2-HR_BARPA	[-]	0.862	0.662	0.776	0.995	0.999	0.998	0.997
NorESM2-MM_BARPA	[-]	0.936	0.641	0.753	0.995	0.997	0.997	0.996
NorESM2-MM_CCAM	[-]		0.693	0.672		0.994	0.996	0.995
NorESM2-MM_CMIP6	[-]	0.854	0.728	0.613	0.995	0.995	0.996	0.995

500hPaVerticalwind(omega500)/ERA5

850hPaSpecificHumidity(hus850)/ERA5

850hPaGeopotentialHeight(zg850)/ERA5

Data Information

Mean State
Relationships
All Models
Data Information

Title:: ERA5 pressure-levels monthly-averaged temperature 19590101-19590131

History:: Wed Dec 14 20:57:03 2022: cdo -b F64 cat ta850/ta850_era5_moda_pl_19590101-19590131.nc ta850/ta850_era5_moda_pl_19590201-19590228.nc ta850/ta850_era5_moda_pl_19590301-19590331.nc ta850/ta850_era5_moda_pl_19590401-19590430.nc ta850/ta850_era5_moda_pl_19590501-19590531.nc ta850/ta850_era5_moda_pl_19590601-19590630.nc ta850/ta850_era5_moda_pl_19590701-19590731.nc ta850/ta850_era5_moda_pl_19590801-19590831.nc ta850/ta850_era5_moda_pl_19590901-19590930.nc ta850/ta850_era5_moda_pl_19591001-19591031.nc ta850/ta850_era5_moda_pl_19591101-19591130.nc ta850/ta850_era5_moda_pl_19591201-19591231.nc ta850/ta850_era5_moda_pl_19600101-19600131.nc ta850/ta850_era5_moda_pl_19600201-19600229.nc ta850/ta850_era5_moda_pl_19600301-19600331.nc ta850/ta850_era5_moda_pl_19600401-19600430.nc ta850/ta850_era5_moda_pl_19600501-19600531.nc ta850/ta850_era5_moda_pl_19600601-19600630.nc ta850/ta850_era5_moda_pl_19600701-19600731.nc ta850/ta850_era5_moda_pl_19600801-19600831.nc ta850/ta850_era5_moda_pl_19600901-19600930.nc ta850/ta850_era5_moda_pl_19601001-19601031.nc ta850/ta850_era5_moda_pl_19601101-19601130.nc ta850/ta850_era5_moda_pl_19601201-19601231.nc ta850/ta850_era5_moda_pl_19610101-19610131.nc ta850/ta850_era5_moda_pl_19610201-19610228.nc ta850/ta850_era5_moda_pl_19610301-19610331.nc ta850/ta850_era5_moda_pl_19610401-19610430.nc ta850/ta850_era5_moda_pl_19610501-19610531.nc ta850/ta850_era5_moda_pl_19610601-19610630.nc ta850/ta850_era5_moda_pl_19610701-19610731.nc ta850/ta850_era5_moda_pl_19610801-19610831.nc ta850/ta850_era5_moda_pl_19610901-19610930.nc ta850/ta850_era5_moda_pl_19611001-19611031.nc ta850/ta850_era5_moda_pl_19611101-19611130.nc ta850/ta850_era5_moda_pl_19611201-19611231.nc ta850/ta850_era5_moda_pl_19620101-19620131.nc ta850/ta850_era5_moda_pl_19620201-19620228.nc ta850/ta850_era5_moda_pl_19620301-19620331.nc ta850/ta850_era5_moda_pl_19620401-19620430.nc ta850/ta850_era5_moda_pl_19620501-19620531.nc ta850/ta850_era5_moda_pl_19620601-19620630.nc ta850/ta850_era5_moda_pl_19620701-19620731.nc ta850/ta850_era5_moda_pl_19620801-19620831.nc ta850/ta850_era5_moda_pl_19620901-19620930.nc ta850/ta850_era5_moda_pl_19621001-19621031.nc ta850/ta850_era5_moda_pl_19621101-19621130.nc ta850/ta850_era5_moda_pl_19621201-19621231.nc ta850/ta850_era5_moda_pl_19630101-19630131.nc ta850/ta850_era5_moda_pl_19630201-19630228.nc ta850/ta850_era5_moda_pl_19630301-19630331.nc ta850/ta850_era5_moda_pl_19630401-19630430.nc ta850/ta850_era5_moda_pl_19630501-19630531.nc ta850/ta850_era5_moda_pl_19630601-19630630.nc ta850/ta850_era5_moda_pl_19630701-19630731.nc ta850/ta850_era5_moda_pl_19630801-19630831.nc ta850/ta850_era5_moda_pl_19630901-19630930.nc ta850/ta850_era5_moda_pl_19631001-19631031.nc ta850/ta850_era5_moda_pl_19631101-19631130.nc ta850/ta850_era5_moda_pl_19631201-19631231.nc ta850/ta850_era5_moda_pl_19640101-19640131.nc ta850/ta850_era5_moda_pl_19640201-19640229.nc ta850/ta850_era5_moda_pl_19640301-19640331.nc ta850/ta850_era5_moda_pl_19640401-19640430.nc ta850/ta850_era5_moda_pl_19640501-19640531.nc ta850/ta850_era5_moda_pl_19640601-19640630.nc ta850/ta850_era5_moda_pl_19640701-19640731.nc ta850/ta850_era5_moda_pl_19640801-19640831.nc ta850/ta850_era5_moda_pl_19640901-19640930.nc ta850/ta850_era5_moda_pl_19641001-19641031.nc ta850/ta850_era5_moda_pl_19641101-19641130.nc ta850/ta850_era5_moda_pl_19641201-19641231.nc ta850/ta850_era5_moda_pl_19650101-19650131.nc ta850/ta850_era5_moda_pl_19650201-19650228.nc ta850/ta850_era5_moda_pl_19650301-19650331.nc ta850/ta850_era5_moda_pl_19650401-19650430.nc ta850/ta850_era5_moda_pl_19650501-19650531.nc ta850/ta850_era5_moda_pl_19650601-19650630.nc ta850/ta850_era5_moda_pl_19650701-19650731.nc ta850/ta850_era5_moda_pl_19650801-19650831.nc ta850/ta850_era5_moda_pl_19650901-19650930.nc ta850/ta850_era5_moda_pl_19651001-19651031.nc ta850/ta850_era5_moda_pl_19651101-19651130.nc ta850/ta850_era5_moda_pl_19651201-19651231.nc ta850/ta850_era5_moda_pl_19660101-19660131.nc ta850/ta850_era5_moda_pl_19660201-19660228.nc ta850/ta850_era5_moda_pl_19660301-19660331.nc ta850/ta850_era5_moda_pl_19660401-19660430.nc ta850/ta850_era5_moda_pl_19660501-19660531.nc ta850/ta850_era5_moda_pl_19660601-19660630.nc ta850/ta850_era5_moda_pl_19660701-19660731.nc ta850/ta850_era5_moda_pl_19660801-19660831.nc ta850/ta850_era5_moda_pl_19660901-19660930.nc ta850/ta850_era5_moda_pl_19661001-19661031.nc ta850/ta850_era5_moda_pl_19661101-19661130.nc ta850/ta850_era5_moda_pl_19661201-19661231.nc ta850/ta850_era5_moda_pl_19670101-19670131.nc ta850/ta850_era5_moda_pl_19670201-19670228.nc ta850/ta850_era5_moda_pl_19670301-19670331.nc ta850/ta850_era5_moda_pl_19670401-19670430.nc ta850/ta850_era5_moda_pl_19670501-19670531.nc ta850/ta850_era5_moda_pl_19670601-19670630.nc ta850/ta850_era5_moda_pl_19670701-19670731.nc ta850/ta850_era5_moda_pl_19670801-19670831.nc ta850/ta850_era5_moda_pl_19670901-19670930.nc ta850/ta850_era5_moda_pl_19671001-19671031.nc ta850/ta850_era5_moda_pl_19671101-19671130.nc ta850/ta850_era5_moda_pl_19671201-19671231.nc ta850/ta850_era5_moda_pl_19680101-19680131.nc ta850/ta850_era5_moda_pl_19680201-19680229.nc ta850/ta850_era5_moda_pl_19680301-19680331.nc ta850/ta850_era5_moda_pl_19680401-19680430.nc ta850/ta850_era5_moda_pl_19680501-19680531.nc ta850/ta850_era5_moda_pl_19680601-19680630.nc ta850/ta850_era5_moda_pl_19680701-19680731.nc ta850/ta850_era5_moda_pl_19680801-19680831.nc ta850/ta850_era5_moda_pl_19680901-19680930.nc ta850/ta850_era5_moda_pl_19681001-19681031.nc ta850/ta850_era5_moda_pl_19681101-19681130.nc ta850/ta850_era5_moda_pl_19681201-19681231.nc ta850/ta850_era5_moda_pl_19690101-19690131.nc ta850/ta850_era5_moda_pl_19690201-19690228.nc ta850/ta850_era5_moda_pl_19690301-19690331.nc ta850/ta850_era5_moda_pl_19690401-19690430.nc ta850/ta850_era5_moda_pl_19690501-19690531.nc ta850/ta850_era5_moda_pl_19690601-19690630.nc ta850/ta850_era5_moda_pl_19690701-19690731.nc ta850/ta850_era5_moda_pl_19690801-19690831.nc ta850/ta850_era5_moda_pl_19690901-19690930.nc ta850/ta850_era5_moda_pl_19691001-19691031.nc ta850/ta850_era5_moda_pl_19691101-19691130.nc ta850/ta850_era5_moda_pl_19691201-19691231.nc ta850/ta850_era5_moda_pl_19700101-19700131.nc ta850/ta850_era5_moda_pl_19700201-19700228.nc ta850/ta850_era5_moda_pl_19700301-19700331.nc ta850/ta850_era5_moda_pl_19700401-19700430.nc ta850/ta850_era5_moda_pl_19700501-19700531.nc ta850/ta850_era5_moda_pl_19700601-19700630.nc ta850/ta850_era5_moda_pl_19700701-19700731.nc ta850/ta850_era5_moda_pl_19700801-19700831.nc ta850/ta850_era5_moda_pl_19700901-19700930.nc ta850/ta850_era5_moda_pl_19701001-19701031.nc ta850/ta850_era5_moda_pl_19701101-19701130.nc ta850/ta850_era5_moda_pl_19701201-19701231.nc ta850/ta850_era5_moda_pl_19710101-19710131.nc ta850/ta850_era5_moda_pl_19710201-19710228.nc ta850/ta850_era5_moda_pl_19710301-19710331.nc ta850/ta850_era5_moda_pl_19710401-19710430.nc ta850/ta850_era5_moda_pl_19710501-19710531.nc ta850/ta850_era5_moda_pl_19710601-19710630.nc ta850/ta850_era5_moda_pl_19710701-19710731.nc ta850/ta850_era5_moda_pl_19710801-19710831.nc ta850/ta850_era5_moda_pl_19710901-19710930.nc ta850/ta850_era5_moda_pl_19711001-19711031.nc ta850/ta850_era5_moda_pl_19711101-19711130.nc ta850/ta850_era5_moda_pl_19711201-19711231.nc ta850/ta850_era5_moda_pl_19720101-19720131.nc ta850/ta850_era5_moda_pl_19720201-19720229.nc ta850/ta850_era5_moda_pl_19720301-19720331.nc ta850/ta850_era5_moda_pl_19720401-19720430.nc ta850/ta850_era5_moda_pl_19720501-19720531.nc ta850/ta850_era5_moda_pl_19720601-19720630.nc ta850/ta850_era5_moda_pl_19720701-19720731.nc ta850/ta850_era5_moda_pl_19720801-19720831.nc ta850/ta850_era5_moda_pl_19720901-19720930.nc ta850/ta850_era5_moda_pl_19721001-19721031.nc ta850/ta850_era5_moda_pl_19721101-19721130.nc ta850/ta850_era5_moda_pl_19721201-19721231.nc ta850/ta850_era5_moda_pl_19730101-19730131.nc ta850/ta850_era5_moda_pl_19730201-19730228.nc ta850/ta850_era5_moda_pl_19730301-19730331.nc ta850/ta850_era5_moda_pl_19730401-19730430.nc ta850/ta850_era5_moda_pl_19730501-19730531.nc ta850/ta850_era5_moda_pl_19730601-19730630.nc ta850/ta850_era5_moda_pl_19730701-19730731.nc ta850/ta850_era5_moda_pl_19730801-19730831.nc ta850/ta850_era5_moda_pl_19730901-19730930.nc ta850/ta850_era5_moda_pl_19731001-19731031.nc ta850/ta850_era5_moda_pl_19731101-19731130.nc ta850/ta850_era5_moda_pl_19731201-19731231.nc ta850/ta850_era5_moda_pl_19740101-19740131.nc ta850/ta850_era5_moda_pl_19740201-19740228.nc ta850/ta850_era5_moda_pl_19740301-19740331.nc ta850/ta850_era5_moda_pl_19740401-19740430.nc ta850/ta850_era5_moda_pl_19740501-19740531.nc ta850/ta850_era5_moda_pl_19740601-19740630.nc ta850/ta850_era5_moda_pl_19740701-19740731.nc ta850/ta850_era5_moda_pl_19740801-19740831.nc ta850/ta850_era5_moda_pl_19740901-19740930.nc ta850/ta850_era5_moda_pl_19741001-19741031.nc ta850/ta850_era5_moda_pl_19741101-19741130.nc ta850/ta850_era5_moda_pl_19741201-19741231.nc ta850/ta850_era5_moda_pl_19750101-19750131.nc ta850/ta850_era5_moda_pl_19750201-19750228.nc ta850/ta850_era5_moda_pl_19750301-19750331.nc ta850/ta850_era5_moda_pl_19750401-19750430.nc ta850/ta850_era5_moda_pl_19750501-19750531.nc ta850/ta850_era5_moda_pl_19750601-19750630.nc ta850/ta850_era5_moda_pl_19750701-19750731.nc ta850/ta850_era5_moda_pl_19750801-19750831.nc ta850/ta850_era5_moda_pl_19750901-19750930.nc ta850/ta850_era5_moda_pl_19751001-19751031.nc ta850/ta850_era5_moda_pl_19751101-19751130.nc ta850/ta850_era5_moda_pl_19751201-19751231.nc ta850/ta850_era5_moda_pl_19760101-19760131.nc ta850/ta850_era5_moda_pl_19760201-19760229.nc ta850/ta850_era5_moda_pl_19760301-19760331.nc ta850/ta850_era5_moda_pl_19760401-19760430.nc ta850/ta850_era5_moda_pl_19760501-19760531.nc ta850/ta850_era5_moda_pl_19760601-19760630.nc ta850/ta850_era5_moda_pl_19760701-19760731.nc ta850/ta850_era5_moda_pl_19760801-19760831.nc ta850/ta850_era5_moda_pl_19760901-19760930.nc ta850/ta850_era5_moda_pl_19761001-19761031.nc ta850/ta850_era5_moda_pl_19761101-19761130.nc ta850/ta850_era5_moda_pl_19761201-19761231.nc ta850/ta850_era5_moda_pl_19770101-19770131.nc ta850/ta850_era5_moda_pl_19770201-19770228.nc ta850/ta850_era5_moda_pl_19770301-19770331.nc ta850/ta850_era5_moda_pl_19770401-19770430.nc ta850/ta850_era5_moda_pl_19770501-19770531.nc ta850/ta850_era5_moda_pl_19770601-19770630.nc ta850/ta850_era5_moda_pl_19770701-19770731.nc ta850/ta850_era5_moda_pl_19770801-19770831.nc ta850/ta850_era5_moda_pl_19770901-19770930.nc ta850/ta850_era5_moda_pl_19771001-19771031.nc ta850/ta850_era5_moda_pl_19771101-19771130.nc ta850/ta850_era5_moda_pl_19771201-19771231.nc ta850/ta850_era5_moda_pl_19780101-19780131.nc ta850/ta850_era5_moda_pl_19780201-19780228.nc ta850/ta850_era5_moda_pl_19780301-19780331.nc ta850/ta850_era5_moda_pl_19780401-19780430.nc ta850/ta850_era5_moda_pl_19780501-19780531.nc ta850/ta850_era5_moda_pl_19780601-19780630.nc ta850/ta850_era5_moda_pl_19780701-19780731.nc ta850/ta850_era5_moda_pl_19780801-19780831.nc ta850/ta850_era5_moda_pl_19780901-19780930.nc ta850/ta850_era5_moda_pl_19781001-19781031.nc ta850/ta850_era5_moda_pl_19781101-19781130.nc ta850/ta850_era5_moda_pl_19781201-19781231.nc ta850/ta850_era5_moda_pl_19790101-19790131.nc ta850/ta850_era5_moda_pl_19790201-19790228.nc ta850/ta850_era5_moda_pl_19790301-19790331.nc ta850/ta850_era5_moda_pl_19790401-19790430.nc ta850/ta850_era5_moda_pl_19790501-19790531.nc ta850/ta850_era5_moda_pl_19790601-19790630.nc ta850/ta850_era5_moda_pl_19790701-19790731.nc ta850/ta850_era5_moda_pl_19790801-19790831.nc ta850/ta850_era5_moda_pl_19790901-19790930.nc ta850/ta850_era5_moda_pl_19791001-19791031.nc ta850/ta850_era5_moda_pl_19791101-19791130.nc ta850/ta850_era5_moda_pl_19791201-19791231.nc ta850/ta850_era5_moda_pl_19800101-19800131.nc ta850/ta850_era5_moda_pl_19800201-19800229.nc ta850/ta850_era5_moda_pl_19800301-19800331.nc ta850/ta850_era5_moda_pl_19800401-19800430.nc ta850/ta850_era5_moda_pl_19800501-19800531.nc ta850/ta850_era5_moda_pl_19800601-19800630.nc ta850/ta850_era5_moda_pl_19800701-19800731.nc ta850/ta850_era5_moda_pl_19800801-19800831.nc ta850/ta850_era5_moda_pl_19800901-19800930.nc ta850/ta850_era5_moda_pl_19801001-19801031.nc ta850/ta850_era5_moda_pl_19801101-19801130.nc ta850/ta850_era5_moda_pl_19801201-19801231.nc ta850/ta850_era5_moda_pl_19810101-19810131.nc ta850/ta850_era5_moda_pl_19810201-19810228.nc ta850/ta850_era5_moda_pl_19810301-19810331.nc ta850/ta850_era5_moda_pl_19810401-19810430.nc ta850/ta850_era5_moda_pl_19810501-19810531.nc ta850/ta850_era5_moda_pl_19810601-19810630.nc ta850/ta850_era5_moda_pl_19810701-19810731.nc ta850/ta850_era5_moda_pl_19810801-19810831.nc ta850/ta850_era5_moda_pl_19810901-19810930.nc ta850/ta850_era5_moda_pl_19811001-19811031.nc ta850/ta850_era5_moda_pl_19811101-19811130.nc ta850/ta850_era5_moda_pl_19811201-19811231.nc ta850/ta850_era5_moda_pl_19820101-19820131.nc ta850/ta850_era5_moda_pl_19820201-19820228.nc ta850/ta850_era5_moda_pl_19820301-19820331.nc ta850/ta850_era5_moda_pl_19820401-19820430.nc ta850/ta850_era5_moda_pl_19820501-19820531.nc ta850/ta850_era5_moda_pl_19820601-19820630.nc ta850/ta850_era5_moda_pl_19820701-19820731.nc ta850/ta850_era5_moda_pl_19820801-19820831.nc ta850/ta850_era5_moda_pl_19820901-19820930.nc ta850/ta850_era5_moda_pl_19821001-19821031.nc ta850/ta850_era5_moda_pl_19821101-19821130.nc ta850/ta850_era5_moda_pl_19821201-19821231.nc ta850/ta850_era5_moda_pl_19830101-19830131.nc ta850/ta850_era5_moda_pl_19830201-19830228.nc ta850/ta850_era5_moda_pl_19830301-19830331.nc ta850/ta850_era5_moda_pl_19830401-19830430.nc ta850/ta850_era5_moda_pl_19830501-19830531.nc ta850/ta850_era5_moda_pl_19830601-19830630.nc ta850/ta850_era5_moda_pl_19830701-19830731.nc ta850/ta850_era5_moda_pl_19830801-19830831.nc ta850/ta850_era5_moda_pl_19830901-19830930.nc ta850/ta850_era5_moda_pl_19831001-19831031.nc ta850/ta850_era5_moda_pl_19831101-19831130.nc ta850/ta850_era5_moda_pl_19831201-19831231.nc ta850/ta850_era5_moda_pl_19840101-19840131.nc ta850/ta850_era5_moda_pl_19840201-19840229.nc ta850/ta850_era5_moda_pl_19840301-19840331.nc ta850/ta850_era5_moda_pl_19840401-19840430.nc ta850/ta850_era5_moda_pl_19840501-19840531.nc ta850/ta850_era5_moda_pl_19840601-19840630.nc ta850/ta850_era5_moda_pl_19840701-19840731.nc ta850/ta850_era5_moda_pl_19840801-19840831.nc ta850/ta850_era5_moda_pl_19840901-19840930.nc ta850/ta850_era5_moda_pl_19841001-19841031.nc ta850/ta850_era5_moda_pl_19841101-19841130.nc ta850/ta850_era5_moda_pl_19841201-19841231.nc ta850/ta850_era5_moda_pl_19850101-19850131.nc ta850/ta850_era5_moda_pl_19850201-19850228.nc ta850/ta850_era5_moda_pl_19850301-19850331.nc ta850/ta850_era5_moda_pl_19850401-19850430.nc ta850/ta850_era5_moda_pl_19850501-19850531.nc ta850/ta850_era5_moda_pl_19850601-19850630.nc ta850/ta850_era5_moda_pl_19850701-19850731.nc ta850/ta850_era5_moda_pl_19850801-19850831.nc ta850/ta850_era5_moda_pl_19850901-19850930.nc ta850/ta850_era5_moda_pl_19851001-19851031.nc ta850/ta850_era5_moda_pl_19851101-19851130.nc ta850/ta850_era5_moda_pl_19851201-19851231.nc ta850/ta850_era5_moda_pl_19860101-19860131.nc ta850/ta850_era5_moda_pl_19860201-19860228.nc ta850/ta850_era5_moda_pl_19860301-19860331.nc ta850/ta850_era5_moda_pl_19860401-19860430.nc ta850/ta850_era5_moda_pl_19860501-19860531.nc ta850/ta850_era5_moda_pl_19860601-19860630.nc ta850/ta850_era5_moda_pl_19860701-19860731.nc ta850/ta850_era5_moda_pl_19860801-19860831.nc ta850/ta850_era5_moda_pl_19860901-19860930.nc ta850/ta850_era5_moda_pl_19861001-19861031.nc ta850/ta850_era5_moda_pl_19861101-19861130.nc ta850/ta850_era5_moda_pl_19861201-19861231.nc ta850/ta850_era5_moda_pl_19870101-19870131.nc ta850/ta850_era5_moda_pl_19870201-19870228.nc ta850/ta850_era5_moda_pl_19870301-19870331.nc ta850/ta850_era5_moda_pl_19870401-19870430.nc ta850/ta850_era5_moda_pl_19870501-19870531.nc ta850/ta850_era5_moda_pl_19870601-19870630.nc ta850/ta850_era5_moda_pl_19870701-19870731.nc ta850/ta850_era5_moda_pl_19870801-19870831.nc ta850/ta850_era5_moda_pl_19870901-19870930.nc ta850/ta850_era5_moda_pl_19871001-19871031.nc ta850/ta850_era5_moda_pl_19871101-19871130.nc ta850/ta850_era5_moda_pl_19871201-19871231.nc ta850/ta850_era5_moda_pl_19880101-19880131.nc ta850/ta850_era5_moda_pl_19880201-19880229.nc ta850/ta850_era5_moda_pl_19880301-19880331.nc ta850/ta850_era5_moda_pl_19880401-19880430.nc ta850/ta850_era5_moda_pl_19880501-19880531.nc ta850/ta850_era5_moda_pl_19880601-19880630.nc ta850/ta850_era5_moda_pl_19880701-19880731.nc ta850/ta850_era5_moda_pl_19880801-19880831.nc ta850/ta850_era5_moda_pl_19880901-19880930.nc ta850/ta850_era5_moda_pl_19881001-19881031.nc ta850/ta850_era5_moda_pl_19881101-19881130.nc ta850/ta850_era5_moda_pl_19881201-19881231.nc ta850/ta850_era5_moda_pl_19890101-19890131.nc ta850/ta850_era5_moda_pl_19890201-19890228.nc ta850/ta850_era5_moda_pl_19890301-19890331.nc ta850/ta850_era5_moda_pl_19890401-19890430.nc ta850/ta850_era5_moda_pl_19890501-19890531.nc ta850/ta850_era5_moda_pl_19890601-19890630.nc ta850/ta850_era5_moda_pl_19890701-19890731.nc ta850/ta850_era5_moda_pl_19890801-19890831.nc ta850/ta850_era5_moda_pl_19890901-19890930.nc ta850/ta850_era5_moda_pl_19891001-19891031.nc ta850/ta850_era5_moda_pl_19891101-19891130.nc ta850/ta850_era5_moda_pl_19891201-19891231.nc ta850/ta850_era5_moda_pl_19900101-19900131.nc ta850/ta850_era5_moda_pl_19900201-19900228.nc ta850/ta850_era5_moda_pl_19900301-19900331.nc ta850/ta850_era5_moda_pl_19900401-19900430.nc ta850/ta850_era5_moda_pl_19900501-19900531.nc ta850/ta850_era5_moda_pl_19900601-19900630.nc ta850/ta850_era5_moda_pl_19900701-19900731.nc ta850/ta850_era5_moda_pl_19900801-19900831.nc ta850/ta850_era5_moda_pl_19900901-19900930.nc ta850/ta850_era5_moda_pl_19901001-19901031.nc ta850/ta850_era5_moda_pl_19901101-19901130.nc ta850/ta850_era5_moda_pl_19901201-19901231.nc ta850/ta850_era5_moda_pl_19910101-19910131.nc ta850/ta850_era5_moda_pl_19910201-19910228.nc ta850/ta850_era5_moda_pl_19910301-19910331.nc ta850/ta850_era5_moda_pl_19910401-19910430.nc ta850/ta850_era5_moda_pl_19910501-19910531.nc ta850/ta850_era5_moda_pl_19910601-19910630.nc ta850/ta850_era5_moda_pl_19910701-19910731.nc ta850/ta850_era5_moda_pl_19910801-19910831.nc ta850/ta850_era5_moda_pl_19910901-19910930.nc ta850/ta850_era5_moda_pl_19911001-19911031.nc ta850/ta850_era5_moda_pl_19911101-19911130.nc ta850/ta850_era5_moda_pl_19911201-19911231.nc ta850/ta850_era5_moda_pl_19920101-19920131.nc ta850/ta850_era5_moda_pl_19920201-19920229.nc ta850/ta850_era5_moda_pl_19920301-19920331.nc ta850/ta850_era5_moda_pl_19920401-19920430.nc ta850/ta850_era5_moda_pl_19920501-19920531.nc ta850/ta850_era5_moda_pl_19920601-19920630.nc ta850/ta850_era5_moda_pl_19920701-19920731.nc ta850/ta850_era5_moda_pl_19920801-19920831.nc ta850/ta850_era5_moda_pl_19920901-19920930.nc ta850/ta850_era5_moda_pl_19921001-19921031.nc ta850/ta850_era5_moda_pl_19921101-19921130.nc ta850/ta850_era5_moda_pl_19921201-19921231.nc ta850/ta850_era5_moda_pl_19930101-19930131.nc ta850/ta850_era5_moda_pl_19930201-19930228.nc ta850/ta850_era5_moda_pl_19930301-19930331.nc ta850/ta850_era5_moda_pl_19930401-19930430.nc ta850/ta850_era5_moda_pl_19930501-19930531.nc ta850/ta850_era5_moda_pl_19930601-19930630.nc ta850/ta850_era5_moda_pl_19930701-19930731.nc ta850/ta850_era5_moda_pl_19930801-19930831.nc ta850/ta850_era5_moda_pl_19930901-19930930.nc ta850/ta850_era5_moda_pl_19931001-19931031.nc ta850/ta850_era5_moda_pl_19931101-19931130.nc ta850/ta850_era5_moda_pl_19931201-19931231.nc ta850/ta850_era5_moda_pl_19940101-19940131.nc ta850/ta850_era5_moda_pl_19940201-19940228.nc ta850/ta850_era5_moda_pl_19940301-19940331.nc ta850/ta850_era5_moda_pl_19940401-19940430.nc ta850/ta850_era5_moda_pl_19940501-19940531.nc ta850/ta850_era5_moda_pl_19940601-19940630.nc ta850/ta850_era5_moda_pl_19940701-19940731.nc ta850/ta850_era5_moda_pl_19940801-19940831.nc ta850/ta850_era5_moda_pl_19940901-19940930.nc ta850/ta850_era5_moda_pl_19941001-19941031.nc ta850/ta850_era5_moda_pl_19941101-19941130.nc ta850/ta850_era5_moda_pl_19941201-19941231.nc ta850/ta850_era5_moda_pl_19950101-19950131.nc ta850/ta850_era5_moda_pl_19950201-19950228.nc ta850/ta850_era5_moda_pl_19950301-19950331.nc ta850/ta850_era5_moda_pl_19950401-19950430.nc ta850/ta850_era5_moda_pl_19950501-19950531.nc ta850/ta850_era5_moda_pl_19950601-19950630.nc ta850/ta850_era5_moda_pl_19950701-19950731.nc ta850/ta850_era5_moda_pl_19950801-19950831.nc ta850/ta850_era5_moda_pl_19950901-19950930.nc ta850/ta850_era5_moda_pl_19951001-19951031.nc ta850/ta850_era5_moda_pl_19951101-19951130.nc ta850/ta850_era5_moda_pl_19951201-19951231.nc ta850/ta850_era5_moda_pl_19960101-19960131.nc ta850/ta850_era5_moda_pl_19960201-19960229.nc ta850/ta850_era5_moda_pl_19960301-19960331.nc ta850/ta850_era5_moda_pl_19960401-19960430.nc ta850/ta850_era5_moda_pl_19960501-19960531.nc ta850/ta850_era5_moda_pl_19960601-19960630.nc ta850/ta850_era5_moda_pl_19960701-19960731.nc ta850/ta850_era5_moda_pl_19960801-19960831.nc ta850/ta850_era5_moda_pl_19960901-19960930.nc ta850/ta850_era5_moda_pl_19961001-19961031.nc ta850/ta850_era5_moda_pl_19961101-19961130.nc ta850/ta850_era5_moda_pl_19961201-19961231.nc ta850/ta850_era5_moda_pl_19970101-19970131.nc ta850/ta850_era5_moda_pl_19970201-19970228.nc ta850/ta850_era5_moda_pl_19970301-19970331.nc ta850/ta850_era5_moda_pl_19970401-19970430.nc ta850/ta850_era5_moda_pl_19970501-19970531.nc ta850/ta850_era5_moda_pl_19970601-19970630.nc ta850/ta850_era5_moda_pl_19970701-19970731.nc ta850/ta850_era5_moda_pl_19970801-19970831.nc ta850/ta850_era5_moda_pl_19970901-19970930.nc ta850/ta850_era5_moda_pl_19971001-19971031.nc ta850/ta850_era5_moda_pl_19971101-19971130.nc ta850/ta850_era5_moda_pl_19971201-19971231.nc ta850/ta850_era5_moda_pl_19980101-19980131.nc ta850/ta850_era5_moda_pl_19980201-19980228.nc ta850/ta850_era5_moda_pl_19980301-19980331.nc ta850/ta850_era5_moda_pl_19980401-19980430.nc ta850/ta850_era5_moda_pl_19980501-19980531.nc ta850/ta850_era5_moda_pl_19980601-19980630.nc ta850/ta850_era5_moda_pl_19980701-19980731.nc ta850/ta850_era5_moda_pl_19980801-19980831.nc ta850/ta850_era5_moda_pl_19980901-19980930.nc ta850/ta850_era5_moda_pl_19981001-19981031.nc ta850/ta850_era5_moda_pl_19981101-19981130.nc ta850/ta850_era5_moda_pl_19981201-19981231.nc ta850/ta850_era5_moda_pl_19990101-19990131.nc ta850/ta850_era5_moda_pl_19990201-19990228.nc ta850/ta850_era5_moda_pl_19990301-19990331.nc ta850/ta850_era5_moda_pl_19990401-19990430.nc ta850/ta850_era5_moda_pl_19990501-19990531.nc ta850/ta850_era5_moda_pl_19990601-19990630.nc ta850/ta850_era5_moda_pl_19990701-19990731.nc ta850/ta850_era5_moda_pl_19990801-19990831.nc ta850/ta850_era5_moda_pl_19990901-19990930.nc ta850/ta850_era5_moda_pl_19991001-19991031.nc ta850/ta850_era5_moda_pl_19991101-19991130.nc ta850/ta850_era5_moda_pl_19991201-19991231.nc ta850/ta850_era5_moda_pl_20000101-20000131.nc ta850/ta850_era5_moda_pl_20000201-20000229.nc ta850/ta850_era5_moda_pl_20000301-20000331.nc ta850/ta850_era5_moda_pl_20000401-20000430.nc ta850/ta850_era5_moda_pl_20000501-20000531.nc ta850/ta850_era5_moda_pl_20000601-20000630.nc ta850/ta850_era5_moda_pl_20000701-20000731.nc ta850/ta850_era5_moda_pl_20000801-20000831.nc ta850/ta850_era5_moda_pl_20000901-20000930.nc ta850/ta850_era5_moda_pl_20001001-20001031.nc ta850/ta850_era5_moda_pl_20001101-20001130.nc ta850/ta850_era5_moda_pl_20001201-20001231.nc ta850/ta850_era5_moda_pl_20010101-20010131.nc ta850/ta850_era5_moda_pl_20010201-20010228.nc ta850/ta850_era5_moda_pl_20010301-20010331.nc ta850/ta850_era5_moda_pl_20010401-20010430.nc ta850/ta850_era5_moda_pl_20010501-20010531.nc ta850/ta850_era5_moda_pl_20010601-20010630.nc ta850/ta850_era5_moda_pl_20010701-20010731.nc ta850/ta850_era5_moda_pl_20010801-20010831.nc ta850/ta850_era5_moda_pl_20010901-20010930.nc ta850/ta850_era5_moda_pl_20011001-20011031.nc ta850/ta850_era5_moda_pl_20011101-20011130.nc ta850/ta850_era5_moda_pl_20011201-20011231.nc ta850/ta850_era5_moda_pl_20020101-20020131.nc ta850/ta850_era5_moda_pl_20020201-20020228.nc ta850/ta850_era5_moda_pl_20020301-20020331.nc ta850/ta850_era5_moda_pl_20020401-20020430.nc ta850/ta850_era5_moda_pl_20020501-20020531.nc ta850/ta850_era5_moda_pl_20020601-20020630.nc ta850/ta850_era5_moda_pl_20020701-20020731.nc ta850/ta850_era5_moda_pl_20020801-20020831.nc ta850/ta850_era5_moda_pl_20020901-20020930.nc ta850/ta850_era5_moda_pl_20021001-20021031.nc ta850/ta850_era5_moda_pl_20021101-20021130.nc ta850/ta850_era5_moda_pl_20021201-20021231.nc ta850/ta850_era5_moda_pl_20030101-20030131.nc ta850/ta850_era5_moda_pl_20030201-20030228.nc ta850/ta850_era5_moda_pl_20030301-20030331.nc ta850/ta850_era5_moda_pl_20030401-20030430.nc ta850/ta850_era5_moda_pl_20030501-20030531.nc ta850/ta850_era5_moda_pl_20030601-20030630.nc ta850/ta850_era5_moda_pl_20030701-20030731.nc ta850/ta850_era5_moda_pl_20030801-20030831.nc ta850/ta850_era5_moda_pl_20030901-20030930.nc ta850/ta850_era5_moda_pl_20031001-20031031.nc ta850/ta850_era5_moda_pl_20031101-20031130.nc ta850/ta850_era5_moda_pl_20031201-20031231.nc ta850/ta850_era5_moda_pl_20040101-20040131.nc ta850/ta850_era5_moda_pl_20040201-20040229.nc ta850/ta850_era5_moda_pl_20040301-20040331.nc ta850/ta850_era5_moda_pl_20040401-20040430.nc ta850/ta850_era5_moda_pl_20040501-20040531.nc ta850/ta850_era5_moda_pl_20040601-20040630.nc ta850/ta850_era5_moda_pl_20040701-20040731.nc ta850/ta850_era5_moda_pl_20040801-20040831.nc ta850/ta850_era5_moda_pl_20040901-20040930.nc ta850/ta850_era5_moda_pl_20041001-20041031.nc ta850/ta850_era5_moda_pl_20041101-20041130.nc ta850/ta850_era5_moda_pl_20041201-20041231.nc ta850/ta850_era5_moda_pl_20050101-20050131.nc ta850/ta850_era5_moda_pl_20050201-20050228.nc ta850/ta850_era5_moda_pl_20050301-20050331.nc ta850/ta850_era5_moda_pl_20050401-20050430.nc ta850/ta850_era5_moda_pl_20050501-20050531.nc ta850/ta850_era5_moda_pl_20050601-20050630.nc ta850/ta850_era5_moda_pl_20050701-20050731.nc ta850/ta850_era5_moda_pl_20050801-20050831.nc ta850/ta850_era5_moda_pl_20050901-20050930.nc ta850/ta850_era5_moda_pl_20051001-20051031.nc ta850/ta850_era5_moda_pl_20051101-20051130.nc ta850/ta850_era5_moda_pl_20051201-20051231.nc ta850/ta850_era5_moda_pl_20060101-20060131.nc ta850/ta850_era5_moda_pl_20060201-20060228.nc ta850/ta850_era5_moda_pl_20060301-20060331.nc ta850/ta850_era5_moda_pl_20060401-20060430.nc ta850/ta850_era5_moda_pl_20060501-20060531.nc ta850/ta850_era5_moda_pl_20060601-20060630.nc ta850/ta850_era5_moda_pl_20060701-20060731.nc ta850/ta850_era5_moda_pl_20060801-20060831.nc ta850/ta850_era5_moda_pl_20060901-20060930.nc ta850/ta850_era5_moda_pl_20061001-20061031.nc ta850/ta850_era5_moda_pl_20061101-20061130.nc ta850/ta850_era5_moda_pl_20061201-20061231.nc ta850/ta850_era5_moda_pl_20070101-20070131.nc ta850/ta850_era5_moda_pl_20070201-20070228.nc ta850/ta850_era5_moda_pl_20070301-20070331.nc ta850/ta850_era5_moda_pl_20070401-20070430.nc ta850/ta850_era5_moda_pl_20070501-20070531.nc ta850/ta850_era5_moda_pl_20070601-20070630.nc ta850/ta850_era5_moda_pl_20070701-20070731.nc ta850/ta850_era5_moda_pl_20070801-20070831.nc ta850/ta850_era5_moda_pl_20070901-20070930.nc ta850/ta850_era5_moda_pl_20071001-20071031.nc ta850/ta850_era5_moda_pl_20071101-20071130.nc ta850/ta850_era5_moda_pl_20071201-20071231.nc ta850/ta850_era5_moda_pl_20080101-20080131.nc ta850/ta850_era5_moda_pl_20080201-20080229.nc ta850/ta850_era5_moda_pl_20080301-20080331.nc ta850/ta850_era5_moda_pl_20080401-20080430.nc ta850/ta850_era5_moda_pl_20080501-20080531.nc ta850/ta850_era5_moda_pl_20080601-20080630.nc ta850/ta850_era5_moda_pl_20080701-20080731.nc ta850/ta850_era5_moda_pl_20080801-20080831.nc ta850/ta850_era5_moda_pl_20080901-20080930.nc ta850/ta850_era5_moda_pl_20081001-20081031.nc ta850/ta850_era5_moda_pl_20081101-20081130.nc ta850/ta850_era5_moda_pl_20081201-20081231.nc ta850/ta850_era5_moda_pl_20090101-20090131.nc ta850/ta850_era5_moda_pl_20090201-20090228.nc ta850/ta850_era5_moda_pl_20090301-20090331.nc ta850/ta850_era5_moda_pl_20090401-20090430.nc ta850/ta850_era5_moda_pl_20090501-20090531.nc ta850/ta850_era5_moda_pl_20090601-20090630.nc ta850/ta850_era5_moda_pl_20090701-20090731.nc ta850/ta850_era5_moda_pl_20090801-20090831.nc ta850/ta850_era5_moda_pl_20090901-20090930.nc ta850/ta850_era5_moda_pl_20091001-20091031.nc ta850/ta850_era5_moda_pl_20091101-20091130.nc ta850/ta850_era5_moda_pl_20091201-20091231.nc ta850/ta850_era5_moda_pl_20100101-20100131.nc ta850/ta850_era5_moda_pl_20100201-20100228.nc ta850/ta850_era5_moda_pl_20100301-20100331.nc ta850/ta850_era5_moda_pl_20100401-20100430.nc ta850/ta850_era5_moda_pl_20100501-20100531.nc ta850/ta850_era5_moda_pl_20100601-20100630.nc ta850/ta850_era5_moda_pl_20100701-20100731.nc ta850/ta850_era5_moda_pl_20100801-20100831.nc ta850/ta850_era5_moda_pl_20100901-20100930.nc ta850/ta850_era5_moda_pl_20101001-20101031.nc ta850/ta850_era5_moda_pl_20101101-20101130.nc ta850/ta850_era5_moda_pl_20101201-20101231.nc ta850/ta850_era5_moda_pl_20110101-20110131.nc ta850/ta850_era5_moda_pl_20110201-20110228.nc ta850/ta850_era5_moda_pl_20110301-20110331.nc ta850/ta850_era5_moda_pl_20110401-20110430.nc ta850/ta850_era5_moda_pl_20110501-20110531.nc ta850/ta850_era5_moda_pl_20110601-20110630.nc ta850/ta850_era5_moda_pl_20110701-20110731.nc ta850/ta850_era5_moda_pl_20110801-20110831.nc ta850/ta850_era5_moda_pl_20110901-20110930.nc ta850/ta850_era5_moda_pl_20111001-20111031.nc ta850/ta850_era5_moda_pl_20111101-20111130.nc ta850/ta850_era5_moda_pl_20111201-20111231.nc ta850/ta850_era5_moda_pl_20120101-20120131.nc ta850/ta850_era5_moda_pl_20120201-20120229.nc ta850/ta850_era5_moda_pl_20120301-20120331.nc ta850/ta850_era5_moda_pl_20120401-20120430.nc ta850/ta850_era5_moda_pl_20120501-20120531.nc ta850/ta850_era5_moda_pl_20120601-20120630.nc ta850/ta850_era5_moda_pl_20120701-20120731.nc ta850/ta850_era5_moda_pl_20120801-20120831.nc ta850/ta850_era5_moda_pl_20120901-20120930.nc ta850/ta850_era5_moda_pl_20121001-20121031.nc ta850/ta850_era5_moda_pl_20121101-20121130.nc ta850/ta850_era5_moda_pl_20121201-20121231.nc ta850/ta850_era5_moda_pl_20130101-20130131.nc ta850/ta850_era5_moda_pl_20130201-20130228.nc ta850/ta850_era5_moda_pl_20130301-20130331.nc ta850/ta850_era5_moda_pl_20130401-20130430.nc ta850/ta850_era5_moda_pl_20130501-20130531.nc ta850/ta850_era5_moda_pl_20130601-20130630.nc ta850/ta850_era5_moda_pl_20130701-20130731.nc ta850/ta850_era5_moda_pl_20130801-20130831.nc ta850/ta850_era5_moda_pl_20130901-20130930.nc ta850/ta850_era5_moda_pl_20131001-20131031.nc ta850/ta850_era5_moda_pl_20131101-20131130.nc ta850/ta850_era5_moda_pl_20131201-20131231.nc ta850/ta850_era5_moda_pl_20140101-20140131.nc ta850/ta850_era5_moda_pl_20140201-20140228.nc ta850/ta850_era5_moda_pl_20140301-20140331.nc ta850/ta850_era5_moda_pl_20140401-20140430.nc ta850/ta850_era5_moda_pl_20140501-20140531.nc ta850/ta850_era5_moda_pl_20140601-20140630.nc ta850/ta850_era5_moda_pl_20140701-20140731.nc ta850/ta850_era5_moda_pl_20140801-20140831.nc ta850/ta850_era5_moda_pl_20140901-20140930.nc ta850/ta850_era5_moda_pl_20141001-20141031.nc ta850/ta850_era5_moda_pl_20141101-20141130.nc ta850/ta850_era5_moda_pl_20141201-20141231.nc ta850/ta850_era5_moda_pl_20150101-20150131.nc ta850/ta850_era5_moda_pl_20150201-20150228.nc ta850/ta850_era5_moda_pl_20150301-20150331.nc ta850/ta850_era5_moda_pl_20150401-20150430.nc ta850/ta850_era5_moda_pl_20150501-20150531.nc ta850/ta850_era5_moda_pl_20150601-20150630.nc ta850/ta850_era5_moda_pl_20150701-20150731.nc ta850/ta850_era5_moda_pl_20150801-20150831.nc ta850/ta850_era5_moda_pl_20150901-20150930.nc ta850/ta850_era5_moda_pl_20151001-20151031.nc ta850/ta850_era5_moda_pl_20151101-20151130.nc ta850/ta850_era5_moda_pl_20151201-20151231.nc ta850/ta850_era5_moda_pl_20160101-20160131.nc ta850/ta850_era5_moda_pl_20160201-20160229.nc ta850/ta850_era5_moda_pl_20160301-20160331.nc ta850/ta850_era5_moda_pl_20160401-20160430.nc ta850/ta850_era5_moda_pl_20160501-20160531.nc ta850/ta850_era5_moda_pl_20160601-20160630.nc ta850/ta850_era5_moda_pl_20160701-20160731.nc ta850/ta850_era5_moda_pl_20160801-20160831.nc ta850/ta850_era5_moda_pl_20160901-20160930.nc ta850/ta850_era5_moda_pl_20161001-20161031.nc ta850/ta850_era5_moda_pl_20161101-20161130.nc ta850/ta850_era5_moda_pl_20161201-20161231.nc ta850/ta850_era5_moda_pl_20170101-20170131.nc ta850/ta850_era5_moda_pl_20170201-20170228.nc ta850/ta850_era5_moda_pl_20170301-20170331.nc ta850/ta850_era5_moda_pl_20170401-20170430.nc ta850/ta850_era5_moda_pl_20170501-20170531.nc ta850/ta850_era5_moda_pl_20170601-20170630.nc ta850/ta850_era5_moda_pl_20170701-20170731.nc ta850/ta850_era5_moda_pl_20170801-20170831.nc ta850/ta850_era5_moda_pl_20170901-20170930.nc ta850/ta850_era5_moda_pl_20171001-20171031.nc ta850/ta850_era5_moda_pl_20171101-20171130.nc ta850/ta850_era5_moda_pl_20171201-20171231.nc ta850/ta850_era5_moda_pl_20180101-20180131.nc ta850/ta850_era5_moda_pl_20180201-20180228.nc ta850/ta850_era5_moda_pl_20180301-20180331.nc ta850/ta850_era5_moda_pl_20180401-20180430.nc ta850/ta850_era5_moda_pl_20180501-20180531.nc ta850/ta850_era5_moda_pl_20180601-20180630.nc ta850/ta850_era5_moda_pl_20180701-20180731.nc ta850/ta850_era5_moda_pl_20180801-20180831.nc ta850/ta850_era5_moda_pl_20180901-20180930.nc ta850/ta850_era5_moda_pl_20181001-20181031.nc ta850/ta850_era5_moda_pl_20181101-20181130.nc ta850/ta850_era5_moda_pl_20181201-20181231.nc ta850/ta850_era5_moda_pl_20190101-20190131.nc ta850/ta850_era5_moda_pl_20190201-20190228.nc ta850/ta850_era5_moda_pl_20190301-20190331.nc ta850/ta850_era5_moda_pl_20190401-20190430.nc ta850/ta850_era5_moda_pl_20190501-20190531.nc ta850/ta850_era5_moda_pl_20190601-20190630.nc ta850/ta850_era5_moda_pl_20190701-20190731.nc ta850/ta850_era5_moda_pl_20190801-20190831.nc ta850/ta850_era5_moda_pl_20190901-20190930.nc ta850/ta850_era5_moda_pl_20191001-20191031.nc ta850/ta850_era5_moda_pl_20191101-20191130.nc ta850/ta850_era5_moda_pl_20191201-20191231.nc ta850/ta850_era5_moda_pl_20200101-20200131.nc ta850/ta850_era5_moda_pl_20200201-20200229.nc ta850/ta850_era5_moda_pl_20200301-20200331.nc ta850/ta850_era5_moda_pl_20200401-20200430.nc ta850/ta850_era5_moda_pl_20200501-20200531.nc ta850/ta850_era5_moda_pl_20200601-20200630.nc ta850/ta850_era5_moda_pl_20200701-20200731.nc ta850/ta850_era5_moda_pl_20200801-20200831.nc ta850/ta850_era5_moda_pl_20200901-20200930.nc ta850/ta850_era5_moda_pl_20201001-20201031.nc ta850/ta850_era5_moda_pl_20201101-20201130.nc ta850/ta850_era5_moda_pl_20201201-20201231.nc ta850/ta850_era5_moda_pl_20210101-20210131.nc ta850/ta850_era5_moda_pl_20210201-20210228.nc ta850/ta850_era5_moda_pl_20210301-20210331.nc ta850/ta850_era5_moda_pl_20210401-20210430.nc ta850/ta850_era5_moda_pl_20210501-20210531.nc ta850/ta850_era5_moda_pl_20210601-20210630.nc ta850/ta850_era5_moda_pl_20210701-20210731.nc ta850/ta850_era5_moda_pl_20210801-20210831.nc ta850/ta850_era5_moda_pl_20210901-20210930.nc ta850/ta850_era5_moda_pl_20211001-20211031.nc ta850/ta850_era5_moda_pl_20211101-20211130.nc ta850/ta850_era5_moda_pl_20211201-20211231.nc ta850/ta850_era5_moda_pl_20220101-20220131.nc ta850/ta850_era5_moda_pl_20220201-20220228.nc ta850/ta850_era5_moda_pl_20220301-20220331.nc ta850/ta850_era5_moda_pl_20220401-20220430.nc ta850/ta850_era5_moda_pl_20220501-20220531.nc ta850/ta850_era5_moda_pl_20220601-20220630.nc ta850/ta850_era5_moda_pl_20220701-20220731.nc ta850/ta850_era5_moda_pl_20220801-20220831.nc ta850/ta850_era5_moda_pl_19590101-20220831.nc Wed Dec 14 18:08:39 2022: cdo -b F64 -vertsum -sellevel,850 -chname,t,ta850 /g/data/rt52/era5/pressure-levels/monthly-averaged/t/1959/t_era5_moda_pl_19590101-19590131.nc ./ta850/ta850_era5_moda_pl_19590101-19590131.nc 2022-07-30 02:45:13 UTC+1000 by era5_replication_tools-1.10.2: mv /g/data/rt52/admin/incoming/era5/pressure-levels/monthly-averaged/t/1959/t_era5_moda_pl_19590101-19590131.tmp /g/data/rt52/era5/pressure-levels/monthly-averaged/t/1959/t_era5_moda_pl_19590101-19590131.nc 2022-07-30 02:45:10 UTC+1000 by era5_replication_tools-1.10.2: nccopy -m1G -h1G -k4 -d5 -s -Vlongitude,latitude,level,time,t /g/data/id28/admin/incoming/era5/pressure-levels/monthly-averaged/d/1959/multiple_era5_moda_pl_19590101-19590131.nc /g/data/rt52/admin/incoming/era5/pressure-levels/monthly-averaged/t/1959/t_era5_moda_pl_19590101-19590131.tmp 2022-07-30 02:42:38 UTC+1000 by era5_replication_tools-1.10.2: curl --connect-timeout 20 --show-error --silent --max-time 36000 -o /g/data/id28/admin/incoming/era5/pressure-levels/monthly-averaged/d/1959/multiple_era5_moda_pl_19590101-19590131.nc https://download-0016.copernicus-climate.eu/cache-compute-0016/cache/data5/adaptor.mars.internal-1659112934.355367-17437-13-ef6291cd-0709-45d4-9e01-c3ac68330fc9.nc 2022-07-29 16:42:22 GMT by grib_to_netcdf-2.25.1: /opt/ecmwf/mars-client/bin/grib_to_netcdf.bin -S param -o /cache/data5/adaptor.mars.internal-1659112934.355367-17437-13-ef6291cd-0709-45d4-9e01-c3ac68330fc9.nc /cache/tmp/ef6291cd-0709-45d4-9e01-c3ac68330fc9-adaptor.mars.internal-1659112906.5410028-17437-22-tmp.grib

Conventions:: CF-1.6

Cdi:: Climate Data Interface version 2.0.5 (https://mpimet.mpg.de/cdi)

License:: Licence to use Copernicus Products: https://apps.ecmwf.int/datasets/licences/copernicus/

Summary:: ERA5 is the fifth generation ECMWF atmospheric reanalysis of the global climate. This file is part of the ERA5 replica hosted at NCI Australia. For more information please see http://dx.doi.org/10.25914/5f48874388857

Cdo:: Climate Data Operators version 2.0.5 (https://mpimet.mpg.de/cdo)