Mean State

Mean State
All Models
Data Information

	Download Data	Period Mean (original grids) [Watt m-2]	Model Period Mean (intersection) [Watt m-2]	Benchmark Period Mean (intersection) [Watt m-2]	Bias [Watt m-2]	RMSE [Watt m-2]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	351.
ACCESS-CM2_BARPA	[-]	350.	351.	351.	-0.108	8.97	0.557	0.885	0.796	0.959	0.997	0.887
ACCESS-CM2_CCAM	[-]	350.	350.	351.	-0.782	8.85	0.524	0.883	0.800	0.963	0.995	0.888
ACCESS-CM2_CMIP6	[-]	350.	350.	351.	-0.810	8.70	0.621	0.909	0.787	0.953	0.999	0.887
ACCESS-ESM1-5_BARPA	[-]	353.	354.	351.	2.77	8.47	0.540	0.867	0.822	0.963	0.995	0.894
ACCESS-ESM1-5_CCAM	[-]	355.	355.	351.	3.97	10.0	0.398	0.841	0.802	0.972	0.971	0.878
ACCESS-ESM1-5_CMIP6	[-]	352.	352.	351.	1.09	9.45	0.413	0.891	0.777	0.971	0.982	0.880
CESM2_BARPA	[-]	345.	345.	351.	-5.80	10.8	0.412	0.824	0.786	0.972	0.990	0.872
CESM2_CCAM	[-]	343.	343.	351.	-7.58	12.8	0.478	0.789	0.776	0.969	0.988	0.859
CMCC-ESM2_BARPA	[-]	348.	348.	351.	-2.80	9.74	0.302	0.855	0.797	0.980	0.993	0.885
CMCC-ESM2_CCAM	[-]	356.	356.	351.	5.29	9.66	0.601	0.817	0.840	0.956	0.986	0.888
CMCC-ESM2_CMIP6	[-]	363.	363.	351.	12.0	13.7	0.497	0.708	0.852	0.968	0.976	0.871
CNRM-ESM2-1_CCAM	[-]	338.	338.	351.	-12.4	14.2	0.487	0.695	0.828	0.967	0.972	0.858
CNRM-ESM2-1_CMIP6	[-]	349.	349.	351.	-2.19	8.04	0.424	0.889	0.812	0.973	0.991	0.895
EC-Earth3_BARPA	[-]	348.	348.	351.	-3.00	8.82	0.495	0.864	0.813	0.968	0.993	0.890
EC-Earth3_CCAM	[-]	353.	354.	351.	2.79	7.96	0.469	0.865	0.837	0.966	0.990	0.899
EC-Earth3_CMIP6	[-]	347.	347.	351.	-3.85	9.22	0.465	0.864	0.797	0.967	1.00	0.885
ERA5_BARPA	[-]	348.	348.	351.	-2.68	8.21	0.387	0.876	0.829	0.973	0.999	0.901
ERA5_CCAM	[-]	350.	350.	351.	-0.674	6.49	0.500	0.891	0.865	0.960	0.992	0.914
MPI-ESM1-2-HR_BARPA	[-]	343.	343.	351.	-7.71	11.1	0.507	0.788	0.801	0.966	0.999	0.871
MPI-ESM1-2-HR_CMIP6	[-]	348.	348.	351.	-3.12	8.58	0.441	0.873	0.804	0.971	0.997	0.890
NorESM2-MM_BARPA	[-]	348.	348.	351.	-2.48	9.40	0.384	0.865	0.800	0.975	0.989	0.886
NorESM2-MM_CCAM	[-]	346.	347.	351.	-4.13	9.77	0.581	0.848	0.801	0.961	0.986	0.880
NorESM2-MM_CMIP6	[-]	357.	357.	351.	6.78	10.1	0.558	0.817	0.835	0.964	0.968	0.884

	Download Data	Period Mean (original grids) [Watt m-2]	Model Period Mean (intersection) [Watt m-2]	Benchmark Period Mean (intersection) [Watt m-2]	Bias [Watt m-2]	RMSE [Watt m-2]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	336.
ACCESS-CM2_BARPA	[-]	335.	336.	336.	-0.0744	7.16	0.665	0.919	0.827	0.957	0.967	0.908
ACCESS-CM2_CCAM	[-]	338.	339.	336.	2.95	8.07	0.648	0.874	0.823	0.958	0.915	0.885
ACCESS-CM2_CMIP6	[-]	338.	338.	335.	3.16	7.83	0.740	0.894	0.819	0.953	0.818	0.865
ACCESS-ESM1-5_BARPA	[-]	339.	340.	336.	4.23	7.88	0.665	0.850	0.849	0.957	0.919	0.889
ACCESS-ESM1-5_CCAM	[-]	345.	345.	336.	9.67	12.0	0.674	0.746	0.830	0.957	0.867	0.848
ACCESS-ESM1-5_CMIP6	[-]	341.	341.	337.	4.04	8.18	0.605	0.880	0.812	0.961	0.946	0.890
CESM2_BARPA	[-]	331.	331.	336.	-4.56	7.68	0.648	0.869	0.843	0.958	0.967	0.902
CESM2_CCAM	[-]	333.	334.	336.	-2.17	7.30	0.656	0.911	0.832	0.958	0.908	0.894
CMCC-ESM2_BARPA	[-]	333.	334.	336.	-2.23	6.70	0.639	0.911	0.846	0.959	0.970	0.913
CMCC-ESM2_CCAM	[-]	341.	341.	336.	5.67	7.26	0.651	0.831	0.904	0.958	0.928	0.905
CMCC-ESM2_CMIP6	[-]	347.	347.	335.	11.5	12.2	0.686	0.709	0.886	0.956	0.909	0.867
CNRM-ESM2-1_CCAM	[-]	327.	327.	336.	-8.53	10.9	0.527	0.776	0.824	0.966	0.989	0.881
CNRM-ESM2-1_CMIP6	[-]	335.	335.	337.	-2.01	6.54	0.656	0.926	0.835	0.958	0.997	0.918
EC-Earth3_BARPA	[-]	333.	334.	336.	-1.79	6.41	0.671	0.907	0.858	0.957	0.974	0.917
EC-Earth3_CCAM	[-]	340.	340.	336.	4.50	7.42	0.706	0.846	0.871	0.955	0.929	0.897
EC-Earth3_CMIP6	[-]	334.	334.	335.	-1.21	7.08	0.520	0.929	0.821	0.967	0.991	0.915
ERA5_BARPA	[-]	332.	333.	336.	-2.70	7.70	0.663	0.906	0.821	0.957	0.966	0.902
ERA5_CCAM	[-]	337.	338.	336.	1.99	6.57	0.524	0.899	0.853	0.966	0.935	0.906
MPI-ESM1-2-HR_BARPA	[-]	327.	327.	336.	-8.46	10.5	0.278	0.777	0.839	0.982	0.979	0.888
MPI-ESM1-2-HR_CMIP6	[-]	332.	332.	336.	-3.53	7.95	0.685	0.887	0.817	0.956	0.947	0.893
NorESM2-MM_BARPA	[-]	333.	333.	336.	-2.51	7.79	0.630	0.908	0.816	0.960	0.972	0.903
NorESM2-MM_CCAM	[-]	335.	336.	336.	-0.0454	6.64	0.344	0.927	0.837	0.978	0.936	0.910
NorESM2-MM_CMIP6	[-]	342.	342.	335.	6.48	7.83	0.385	0.826	0.894	0.975	0.857	0.889

	Download Data	Period Mean (original grids) [Watt m-2]	Model Period Mean (intersection) [Watt m-2]	Benchmark Period Mean (intersection) [Watt m-2]	Bias [Watt m-2]	RMSE [Watt m-2]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	348.
ACCESS-CM2_BARPA	[-]	347.	346.	348.	-2.09	7.93	0.556	0.864	0.824	0.964	0.964	0.895
ACCESS-CM2_CCAM	[-]	351.	351.	348.	2.38	8.63	0.406	0.837	0.822	0.974	0.932	0.887
ACCESS-CM2_CMIP6	[-]	351.	351.	350.	1.35	6.38	0.493	0.945	0.820	0.968	0.980	0.913
ACCESS-ESM1-5_BARPA	[-]	352.	352.	348.	3.37	9.06	0.482	0.823	0.818	0.969	0.933	0.882
ACCESS-ESM1-5_CCAM	[-]	360.	360.	348.	11.1	14.1	0.637	0.692	0.799	0.959	0.922	0.845
ACCESS-ESM1-5_CMIP6	[-]	354.	354.	348.	5.24	9.30	0.154	0.849	0.787	0.990	0.981	0.896
CESM2_BARPA	[-]	344.	344.	348.	-4.54	8.55	0.451	0.839	0.827	0.971	0.944	0.888
CESM2_CCAM	[-]	349.	349.	348.	0.0912	8.81	0.225	0.844	0.810	0.986	0.892	0.879
CMCC-ESM2_BARPA	[-]	346.	346.	348.	-2.84	6.46	0.163	0.861	0.880	0.990	0.966	0.916
CMCC-ESM2_CCAM	[-]	355.	355.	348.	6.29	9.53	0.672	0.784	0.860	0.957	0.935	0.887
CMCC-ESM2_CMIP6	[-]	360.	360.	348.	11.9	12.7	0.762	0.688	0.893	0.951	0.933	0.881
CNRM-ESM2-1_CCAM	[-]	339.	339.	348.	-9.62	11.2	0.477	0.733	0.855	0.969	0.994	0.876
CNRM-ESM2-1_CMIP6	[-]	345.	345.	350.	-4.50	7.38	0.357	0.861	0.826	0.977	0.999	0.904
EC-Earth3_BARPA	[-]	345.	345.	348.	-3.66	7.94	0.812	0.849	0.835	0.948	0.987	0.890
EC-Earth3_CCAM	[-]	353.	352.	348.	3.92	9.03	0.656	0.833	0.815	0.958	0.966	0.882
EC-Earth3_CMIP6	[-]	343.	343.	349.	-5.99	10.1	0.438	0.816	0.789	0.972	0.980	0.879
ERA5_BARPA	[-]	345.	345.	348.	-3.36	6.36	0.229	0.857	0.896	0.985	0.963	0.918
ERA5_CCAM	[-]	352.	352.	348.	3.13	7.05	0.559	0.832	0.897	0.964	0.934	0.907
MPI-ESM1-2-HR_BARPA	[-]	339.	339.	348.	-9.23	11.2	0.797	0.745	0.829	0.949	0.961	0.861
MPI-ESM1-2-HR_CMIP6	[-]	343.	343.	349.	-6.08	9.41	0.594	0.815	0.793	0.962	0.986	0.877
NorESM2-MM_BARPA	[-]	345.	345.	348.	-3.37	6.98	0.287	0.855	0.868	0.982	0.949	0.907
NorESM2-MM_CCAM	[-]	349.	349.	348.	0.0535	7.45	0.820	0.854	0.848	0.947	0.927	0.894
NorESM2-MM_CMIP6	[-]	356.	356.	348.	8.63	10.1	0.905	0.764	0.884	0.942	0.897	0.892

	Download Data	Period Mean (original grids) [Watt m-2]	Model Period Mean (intersection) [Watt m-2]	Benchmark Period Mean (intersection) [Watt m-2]	Bias [Watt m-2]	RMSE [Watt m-2]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	380.
ACCESS-CM2_BARPA	[-]	381.	381.	380.	1.50	10.1	0.956	0.886	0.774	0.916	0.959	0.882
ACCESS-CM2_CCAM	[-]	380.	381.	380.	1.23	9.59	0.834	0.892	0.782	0.928	0.986	0.892
ACCESS-CM2_CMIP6	[-]	381.	381.	380.	1.17	10.5	1.10	0.922	0.747	0.899	0.973	0.877
ACCESS-ESM1-5_BARPA	[-]	384.	384.	380.	4.84	9.68	0.783	0.851	0.799	0.941	0.984	0.888
ACCESS-ESM1-5_CCAM	[-]	389.	390.	380.	10.1	13.9	0.603	0.741	0.770	0.951	0.995	0.857
ACCESS-ESM1-5_CMIP6	[-]	386.	386.	380.	6.39	12.9	0.589	0.821	0.721	0.952	0.981	0.856
CESM2_BARPA	[-]	377.	378.	380.	-1.89	10.3	0.643	0.885	0.767	0.954	0.959	0.885
CESM2_CCAM	[-]	376.	377.	380.	-2.76	11.8	0.435	0.889	0.730	0.970	0.980	0.878
CMCC-ESM2_BARPA	[-]	379.	379.	380.	-0.421	8.30	0.445	0.872	0.834	0.970	0.949	0.908
CMCC-ESM2_CCAM	[-]	386.	386.	380.	6.65	10.8	1.06	0.815	0.806	0.905	0.999	0.877
CMCC-ESM2_CMIP6	[-]	394.	394.	379.	15.1	15.9	0.709	0.643	0.873	0.952	0.998	0.864
CNRM-ESM2-1_CCAM	[-]	362.	362.	380.	-17.2	18.2	0.679	0.601	0.845	0.946	0.994	0.845
CNRM-ESM2-1_CMIP6	[-]	374.	374.	379.	-5.27	9.55	0.379	0.841	0.804	0.975	0.987	0.894
EC-Earth3_BARPA	[-]	374.	374.	380.	-5.67	10.6	0.591	0.832	0.783	0.961	0.981	0.882
EC-Earth3_CCAM	[-]	378.	379.	380.	-1.02	6.99	0.752	0.907	0.841	0.931	1.00	0.914
EC-Earth3_CMIP6	[-]	374.	374.	379.	-5.36	10.6	0.625	0.835	0.784	0.944	0.974	0.878
ERA5_BARPA	[-]	378.	378.	380.	-1.54	5.69	0.615	0.895	0.898	0.951	0.976	0.931
ERA5_CCAM	[-]	382.	382.	380.	2.40	6.22	0.959	0.895	0.879	0.905	0.996	0.919
MPI-ESM1-2-HR_BARPA	[-]	372.	372.	380.	-7.08	11.1	0.782	0.801	0.797	0.940	0.951	0.870
MPI-ESM1-2-HR_CMIP6	[-]	377.	377.	379.	-2.47	8.86	0.528	0.902	0.791	0.965	0.983	0.901
NorESM2-MM_BARPA	[-]	380.	380.	380.	0.792	8.08	0.424	0.883	0.833	0.972	0.951	0.911
NorESM2-MM_CCAM	[-]	378.	379.	380.	-1.05	7.83	0.661	0.913	0.821	0.951	1.00	0.913
NorESM2-MM_CMIP6	[-]	392.	392.	379.	12.9	13.8	0.451	0.680	0.867	0.970	0.996	0.878

	Download Data	Period Mean (original grids) [Watt m-2]	Model Period Mean (intersection) [Watt m-2]	Benchmark Period Mean (intersection) [Watt m-2]	Bias [Watt m-2]	RMSE [Watt m-2]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	327.
ACCESS-CM2_BARPA	[-]	325.	325.	327.	-1.89	10.8	0.216	0.867	0.699	0.986	0.977	0.862
ACCESS-CM2_CCAM	[-]	325.	325.	327.	-1.96	10.9	0.756	0.840	0.712	0.951	0.934	0.843
ACCESS-CM2_CMIP6	[-]	328.	328.	327.	0.387	11.5	0.685	0.867	0.675	0.956	0.693	0.784
ACCESS-ESM1-5_BARPA	[-]	327.	327.	327.	-0.0600	9.45	0.681	0.865	0.743	0.956	0.952	0.864
ACCESS-ESM1-5_CCAM	[-]	329.	329.	327.	1.51	9.43	0.823	0.848	0.759	0.947	0.936	0.860
ACCESS-ESM1-5_CMIP6	[-]	326.	326.	327.	-0.927	9.11	0.492	0.886	0.727	0.968	0.975	0.871
CESM2_BARPA	[-]	320.	320.	327.	-7.53	12.8	0.200	0.756	0.698	0.987	0.993	0.841
CESM2_CCAM	[-]	320.	320.	327.	-7.68	10.7	0.266	0.752	0.791	0.983	0.990	0.869
CMCC-ESM2_BARPA	[-]	322.	322.	327.	-5.41	12.9	0.190	0.801	0.668	0.988	0.989	0.840
CMCC-ESM2_CCAM	[-]	326.	326.	327.	-1.06	7.46	0.783	0.835	0.833	0.950	0.950	0.886
CMCC-ESM2_CMIP6	[-]	331.	331.	327.	3.59	7.87	0.722	0.832	0.819	0.954	0.990	0.890
CNRM-ESM2-1_CCAM	[-]	319.	319.	327.	-8.50	12.1	0.834	0.734	0.747	0.946	0.927	0.829
CNRM-ESM2-1_CMIP6	[-]	326.	326.	328.	-2.18	8.52	0.754	0.900	0.740	0.952	0.994	0.879
EC-Earth3_BARPA	[-]	325.	325.	327.	-2.04	9.31	0.517	0.876	0.741	0.967	0.949	0.867
EC-Earth3_CCAM	[-]	331.	331.	327.	3.44	8.10	0.778	0.825	0.812	0.950	0.903	0.866
EC-Earth3_CMIP6	[-]	322.	322.	327.	-5.59	8.98	0.776	0.800	0.795	0.950	0.886	0.851
ERA5_BARPA	[-]	323.	323.	327.	-4.36	12.4	0.806	0.832	0.669	0.948	0.978	0.836
ERA5_CCAM	[-]	325.	325.	327.	-2.57	8.91	0.561	0.849	0.767	0.964	0.960	0.872
MPI-ESM1-2-HR_BARPA	[-]	319.	319.	327.	-8.45	14.5	0.520	0.735	0.660	0.967	0.976	0.815
MPI-ESM1-2-HR_CMIP6	[-]	322.	322.	327.	-5.83	11.1	0.222	0.798	0.710	0.986	0.983	0.851
NorESM2-MM_BARPA	[-]	322.	322.	327.	-5.67	13.0	0.640	0.794	0.669	0.959	0.989	0.832
NorESM2-MM_CCAM	[-]	320.	321.	327.	-6.74	11.6	0.783	0.758	0.739	0.950	0.979	0.844
NorESM2-MM_CMIP6	[-]	330.	330.	327.	2.07	8.69	0.826	0.909	0.739	0.947	0.972	0.875

	Download Data	Period Mean (original grids) [Watt m-2]	Model Period Mean (intersection) [Watt m-2]	Benchmark Period Mean (intersection) [Watt m-2]	Bias [Watt m-2]	RMSE [Watt m-2]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	347.
ACCESS-CM2_BARPA	[-]	347.	347.	347.	0.308	8.68	0.507	0.900	0.820	0.966	1.00	0.913
ACCESS-CM2_CCAM	[-]	346.	346.	347.	-0.963	8.45	0.426	0.910	0.820	0.973	0.997	0.915
ACCESS-CM2_CMIP6	[-]	345.	345.	347.	-1.76	8.16	0.479	0.918	0.820	0.968	1.00	0.918
ACCESS-ESM1-5_BARPA	[-]	350.	350.	347.	3.01	8.08	0.477	0.887	0.846	0.968	1.00	0.918
ACCESS-ESM1-5_CCAM	[-]	349.	349.	347.	2.24	8.83	0.257	0.896	0.821	0.983	0.969	0.914
ACCESS-ESM1-5_CMIP6	[-]	346.	346.	347.	-0.440	8.72	0.361	0.932	0.803	0.977	0.994	0.917
CESM2_BARPA	[-]	341.	341.	347.	-6.43	10.9	0.367	0.836	0.805	0.976	0.998	0.895
CESM2_CCAM	[-]	337.	337.	347.	-10.0	14.5	0.545	0.764	0.778	0.965	0.999	0.868
CMCC-ESM2_BARPA	[-]	344.	345.	347.	-2.57	10.2	0.252	0.874	0.800	0.984	0.996	0.902
CMCC-ESM2_CCAM	[-]	354.	354.	347.	6.82	10.0	0.475	0.822	0.854	0.968	0.976	0.898
CMCC-ESM2_CMIP6	[-]	360.	360.	347.	13.3	14.7	0.404	0.704	0.858	0.974	0.968	0.875
CNRM-ESM2-1_CCAM	[-]	335.	335.	347.	-12.1	13.9	0.410	0.726	0.841	0.974	0.937	0.875
CNRM-ESM2-1_CMIP6	[-]	347.	347.	348.	-0.838	7.43	0.418	0.924	0.840	0.973	0.977	0.924
EC-Earth3_BARPA	[-]	345.	345.	347.	-2.21	8.33	0.417	0.890	0.838	0.973	0.977	0.916
EC-Earth3_CCAM	[-]	351.	351.	347.	3.65	7.89	0.324	0.882	0.854	0.979	0.980	0.918
EC-Earth3_CMIP6	[-]	344.	344.	347.	-3.01	8.39	0.371	0.898	0.823	0.976	0.995	0.914
ERA5_BARPA	[-]	345.	345.	347.	-2.33	8.49	0.270	0.894	0.833	0.983	0.998	0.919
ERA5_CCAM	[-]	346.	346.	347.	-1.22	6.08	0.381	0.916	0.879	0.973	0.995	0.935
MPI-ESM1-2-HR_BARPA	[-]	340.	340.	347.	-7.29	10.4	0.423	0.820	0.831	0.973	1.00	0.899
MPI-ESM1-2-HR_CMIP6	[-]	345.	345.	347.	-1.89	7.59	0.413	0.908	0.838	0.973	0.996	0.917
NorESM2-MM_BARPA	[-]	345.	345.	347.	-2.34	9.56	0.339	0.887	0.808	0.978	0.998	0.908
NorESM2-MM_CCAM	[-]	343.	343.	347.	-4.26	9.96	0.501	0.874	0.806	0.968	0.987	0.898
NorESM2-MM_CMIP6	[-]	353.	353.	347.	6.05	9.51	0.536	0.847	0.845	0.966	0.964	0.901

	Download Data	Period Mean (original grids) [Watt m-2]	Model Period Mean (intersection) [Watt m-2]	Benchmark Period Mean (intersection) [Watt m-2]	Bias [Watt m-2]	RMSE [Watt m-2]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	325.
ACCESS-CM2_BARPA	[-]	319.	319.	325.	-6.90	11.1	0.443	0.701	0.713	0.972	0.927	0.803
ACCESS-CM2_CCAM	[-]	317.	317.	325.	-8.84	12.4	0.742	0.647	0.721	0.952	0.858	0.756
ACCESS-CM2_CMIP6	[-]	328.	328.	328.	0.203	9.37	1.10	0.836	0.628	0.905	0.671	0.777
ACCESS-ESM1-5_BARPA	[-]	321.	320.	325.	-5.69	10.8	0.769	0.725	0.700	0.951	0.911	0.794
ACCESS-ESM1-5_CCAM	[-]	323.	322.	325.	-2.92	10.1	0.811	0.744	0.719	0.948	0.798	0.764
ACCESS-ESM1-5_CMIP6	[-]	321.	321.	327.	-5.23	9.64	0.609	0.774	0.683	0.961	1.00	0.797
CESM2_BARPA	[-]	315.	314.	325.	-11.2	13.9	0.419	0.593	0.720	0.972	0.929	0.780
CESM2_CCAM	[-]	315.	315.	325.	-10.7	13.0	0.650	0.595	0.776	0.957	0.865	0.765
CMCC-ESM2_BARPA	[-]	318.	317.	325.	-8.33	12.0	0.572	0.669	0.710	0.962	0.932	0.787
CMCC-ESM2_CCAM	[-]	318.	317.	325.	-8.06	10.3	0.772	0.673	0.790	0.950	0.924	0.792
CMCC-ESM2_CMIP6	[-]	328.	328.	327.	1.18	7.19	0.802	0.840	0.736	0.949	0.965	0.850
CNRM-ESM2-1_CCAM	[-]	314.	313.	325.	-12.2	15.1	0.721	0.564	0.724	0.954	0.759	0.713
CNRM-ESM2-1_CMIP6	[-]	320.	320.	325.	-4.68	9.97	0.440	0.739	0.630	0.972	0.966	0.815
EC-Earth3_BARPA	[-]	320.	319.	325.	-6.06	10.3	0.912	0.724	0.727	0.933	0.926	0.795
EC-Earth3_CCAM	[-]	325.	324.	325.	-1.01	8.67	0.850	0.764	0.757	0.943	0.834	0.781
EC-Earth3_CMIP6	[-]	315.	315.	326.	-11.2	14.0	0.598	0.565	0.699	0.962	0.865	0.703
ERA5_BARPA	[-]	318.	317.	325.	-8.06	11.8	0.746	0.681	0.708	0.952	0.934	0.790
ERA5_CCAM	[-]	319.	318.	325.	-7.52	10.5	0.544	0.694	0.764	0.964	0.871	0.784
MPI-ESM1-2-HR_BARPA	[-]	314.	313.	325.	-12.2	15.7	0.862	0.569	0.671	0.943	0.852	0.740
MPI-ESM1-2-HR_CMIP6	[-]	316.	316.	325.	-9.73	15.4	0.679	0.621	0.590	0.956	0.970	0.749
NorESM2-MM_BARPA	[-]	317.	316.	325.	-9.81	12.9	0.824	0.629	0.709	0.947	0.960	0.785
NorESM2-MM_CCAM	[-]	314.	313.	325.	-12.5	15.0	0.811	0.556	0.716	0.948	0.902	0.744
NorESM2-MM_CMIP6	[-]	329.	329.	327.	1.66	7.44	0.802	0.882	0.702	0.949	0.964	0.847

	Download Data	Period Mean (original grids) [Watt m-2]	Model Period Mean (intersection) [Watt m-2]	Benchmark Period Mean (intersection) [Watt m-2]	Bias [Watt m-2]	RMSE [Watt m-2]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	333.
ACCESS-CM2_BARPA	[-]	331.	331.	333.	-2.01	8.17	0.174	0.830	0.748	0.989	0.896	0.843
ACCESS-CM2_CCAM	[-]	329.	329.	333.	-4.30	7.95	0.230	0.806	0.774	0.985	0.973	0.858
ACCESS-CM2_CMIP6	[-]	330.	330.	334.	-3.24	7.51	0.457	0.836	0.752	0.971	0.936	0.850
ACCESS-ESM1-5_BARPA	[-]	332.	333.	333.	-0.615	7.22	0.168	0.830	0.784	0.989	0.879	0.852
ACCESS-ESM1-5_CCAM	[-]	331.	331.	333.	-1.87	6.42	0.168	0.852	0.799	0.989	0.905	0.870
ACCESS-ESM1-5_CMIP6	[-]	329.	329.	332.	-3.51	6.42	0.183	0.850	0.801	0.988	1.00	0.835
CESM2_BARPA	[-]	324.	324.	333.	-9.27	12.7	0.167	0.664	0.714	0.989	0.854	0.788
CESM2_CCAM	[-]	325.	325.	333.	-7.74	9.94	0.168	0.716	0.799	0.989	0.997	0.848
CMCC-ESM2_BARPA	[-]	326.	327.	333.	-6.61	10.6	0.196	0.743	0.728	0.987	0.890	0.808
CMCC-ESM2_CCAM	[-]	332.	332.	333.	-1.15	7.50	0.168	0.821	0.785	0.989	1.00	0.880
CMCC-ESM2_CMIP6	[-]	336.	336.	333.	3.25	8.25	0.207	0.806	0.763	0.987	0.993	0.870
CNRM-ESM2-1_CCAM	[-]	325.	325.	333.	-7.79	9.80	0.168	0.709	0.786	0.989	0.919	0.829
CNRM-ESM2-1_CMIP6	[-]	332.	332.	333.	-1.02	7.82	0.233	0.843	0.747	0.985	0.810	0.846
EC-Earth3_BARPA	[-]	333.	333.	333.	-0.180	7.95	0.485	0.823	0.761	0.969	0.969	0.852
EC-Earth3_CCAM	[-]	340.	340.	333.	6.79	10.5	0.260	0.723	0.748	0.983	0.997	0.856
EC-Earth3_CMIP6	[-]	332.	332.	333.	-1.31	10.8	0.462	0.866	0.650	0.967	0.942	0.794
ERA5_BARPA	[-]	328.	329.	333.	-4.41	9.77	0.168	0.800	0.730	0.989	0.833	0.820
ERA5_CCAM	[-]	329.	329.	333.	-4.29	7.20	0.168	0.814	0.808	0.989	0.937	0.871
MPI-ESM1-2-HR_BARPA	[-]	324.	325.	333.	-8.33	12.4	0.323	0.689	0.700	0.979	0.874	0.793
MPI-ESM1-2-HR_CMIP6	[-]	325.	325.	333.	-7.61	11.1	0.357	0.710	0.729	0.977	0.984	0.832
NorESM2-MM_BARPA	[-]	326.	326.	333.	-6.72	10.7	0.167	0.738	0.735	0.989	0.871	0.813
NorESM2-MM_CCAM	[-]	321.	321.	333.	-12.4	14.6	0.830	0.575	0.733	0.943	0.904	0.789
NorESM2-MM_CMIP6	[-]	333.	333.	333.	-0.0393	8.01	0.806	0.905	0.711	0.948	0.956	0.865

	Download Data	Period Mean (original grids) [Watt m-2]	Model Period Mean (intersection) [Watt m-2]	Benchmark Period Mean (intersection) [Watt m-2]	Bias [Watt m-2]	RMSE [Watt m-2]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	394.
ACCESS-CM2_BARPA	[-]	392.	392.	394.	-2.63	8.01	0.550	0.851	0.722	0.955	0.996	0.863
ACCESS-CM2_CCAM	[-]	391.	391.	394.	-3.44	8.91	0.593	0.776	0.723	0.952	0.974	0.841
ACCESS-CM2_CMIP6	[-]	392.	392.	393.	-1.18	10.1	0.395	0.892	0.636	0.975	0.946	0.837
ACCESS-ESM1-5_BARPA	[-]	396.	397.	394.	2.35	7.40	0.550	0.840	0.750	0.955	0.996	0.870
ACCESS-ESM1-5_CCAM	[-]	402.	402.	394.	7.87	10.9	0.550	0.694	0.719	0.955	0.990	0.826
ACCESS-ESM1-5_CMIP6	[-]	408.	408.	402.	5.45	10.4	0.245	0.741	0.616	0.984	0.972	0.805
CESM2_BARPA	[-]	390.	390.	394.	-4.38	7.60	0.550	0.801	0.770	0.955	0.995	0.868
CESM2_CCAM	[-]	394.	394.	394.	-0.373	6.50	0.425	0.875	0.776	0.972	1.00	0.891
CMCC-ESM2_BARPA	[-]	389.	389.	394.	-5.48	7.40	0.482	0.765	0.814	0.969	0.995	0.878
CMCC-ESM2_CCAM	[-]	395.	395.	394.	0.744	5.69	0.550	0.847	0.837	0.955	0.971	0.895
CMCC-ESM2_CMIP6	[-]	405.	405.	397.	8.12	9.35	0.328	0.670	0.795	0.979	0.987	0.851
CNRM-ESM2-1_CCAM	[-]	374.	374.	394.	-20.5	21.8	0.696	0.386	0.721	0.945	0.969	0.751
CNRM-ESM2-1_CMIP6	[-]	389.	389.	401.	-11.7	14.6	0.00	0.548	0.637	1.00	0.864	0.748
EC-Earth3_BARPA	[-]	382.	383.	394.	-11.6	14.5	0.383	0.574	0.659	0.975	0.999	0.786
EC-Earth3_CCAM	[-]	390.	390.	394.	-4.19	8.71	0.633	0.772	0.737	0.949	0.985	0.847
EC-Earth3_CMIP6	[-]	384.	384.	395.	-10.9	13.6	0.634	0.626	0.694	0.948	0.803	0.760
ERA5_BARPA	[-]	389.	390.	394.	-4.72	6.15	0.550	0.783	0.876	0.955	0.998	0.900
ERA5_CCAM	[-]	395.	394.	394.	-0.00825	5.24	0.550	0.848	0.862	0.955	0.979	0.906
MPI-ESM1-2-HR_BARPA	[-]	383.	383.	394.	-11.1	13.6	0.550	0.593	0.693	0.955	0.993	0.795
MPI-ESM1-2-HR_CMIP6	[-]	387.	387.	396.	-8.99	12.6	0.332	0.646	0.650	0.979	0.972	0.794
NorESM2-MM_BARPA	[-]	392.	393.	394.	-1.70	6.53	0.466	0.880	0.772	0.965	0.987	0.887
NorESM2-MM_CCAM	[-]	394.	394.	394.	-0.819	5.81	0.550	0.839	0.827	0.955	0.987	0.894
NorESM2-MM_CMIP6	[-]	407.	407.	397.	9.90	10.8	0.00	0.610	0.808	1.00	0.996	0.848

	Download Data	Period Mean (original grids) [Watt m-2]	Model Period Mean (intersection) [Watt m-2]	Benchmark Period Mean (intersection) [Watt m-2]	Model Period Mean (complement) [Watt m-2]	Benchmark Period Mean (complement) [Watt m-2]	Bias [Watt m-2]	RMSE [Watt m-2]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	381.
ACCESS-CM2_BARPA	[-]	378.	379.	381.		423.	-1.65	8.78	0.792	0.562	0.648	0.913	0.992	0.752
ACCESS-CM2_CCAM	[-]	381.	381.	381.		379.	0.0782	7.65	1.00	0.628	0.644	0.881	0.995	0.758
ACCESS-CM2_CMIP6	[-]	380.	379.	381.	382.		-1.60	8.45	0.809	0.569	0.634	0.912	0.998	0.749
ACCESS-ESM1-5_BARPA	[-]	380.	381.	381.		423.	-0.00917	7.88	0.883	0.596	0.657	0.893	0.994	0.760
ACCESS-ESM1-5_CCAM	[-]	386.	386.	381.		379.	4.99	8.10	0.942	0.574	0.672	0.880	0.996	0.759
ACCESS-ESM1-5_CMIP6	[-]	382.	382.	381.	381.		1.24	6.98	0.833	0.658	0.643	0.899	0.997	0.768
CESM2_BARPA	[-]	378.	379.	381.		423.	-2.13	10.8	0.943	0.465	0.631	0.874	0.977	0.716
CESM2_CCAM	[-]	380.	380.	381.		379.	-1.33	8.28	1.26	0.620	0.633	0.821	0.996	0.741
CMCC-ESM2_BARPA	[-]	378.	379.	381.		423.	-1.78	9.20	0.984	0.534	0.654	0.869	0.986	0.739
CMCC-ESM2_CCAM	[-]	380.	380.	381.		379.	-1.29	7.67	1.37	0.595	0.687	0.797	0.996	0.752
CMCC-ESM2_CMIP6	[-]	384.	384.	381.	384.		3.12	9.66	1.16	0.512	0.684	0.833	0.989	0.740
CNRM-ESM2-1_CCAM	[-]	369.	369.	381.		379.	-12.3	14.6	1.20	0.345	0.624	0.830	0.967	0.678
CNRM-ESM2-1_CMIP6	[-]	373.	373.	381.	373.		-7.62	9.98	0.958	0.490	0.609	0.874	0.999	0.716
EC-Earth3_BARPA	[-]	377.	378.	381.		423.	-2.82	8.95	0.814	0.561	0.602	0.911	0.995	0.734
EC-Earth3_CCAM	[-]	382.	382.	381.		379.	0.581	8.09	1.10	0.589	0.652	0.858	0.970	0.744
EC-Earth3_CMIP6	[-]	376.	375.	381.	376.		-5.62	8.71	0.792	0.554	0.640	0.910	0.999	0.748
ERA5_BARPA	[-]	376.	377.	381.		423.	-3.99	7.11	0.673	0.628	0.738	0.915	0.995	0.803
ERA5_CCAM	[-]	379.	380.	381.		379.	-1.64	5.64	0.945	0.638	0.765	0.871	0.996	0.807
MPI-ESM1-2-HR_BARPA	[-]	375.	375.	381.		423.	-5.44	10.4	0.874	0.483	0.641	0.893	0.987	0.729
MPI-ESM1-2-HR_CMIP6	[-]	374.	374.	381.	376.		-6.86	9.69	1.07	0.547	0.635	0.855	0.995	0.733
NorESM2-MM_BARPA	[-]	379.	379.	381.		423.	-1.35	9.26	0.814	0.527	0.654	0.905	0.984	0.745
NorESM2-MM_CCAM	[-]	376.	376.	381.		379.	-5.41	9.10	1.34	0.521	0.677	0.814	0.995	0.737
NorESM2-MM_CMIP6	[-]	384.	384.	381.	384.		3.02	7.63	1.14	0.563	0.712	0.844	0.997	0.766

	Download Data	Period Mean (original grids) [Watt m-2]	Model Period Mean (intersection) [Watt m-2]	Benchmark Period Mean (intersection) [Watt m-2]	Model Period Mean (complement) [Watt m-2]	Benchmark Period Mean (complement) [Watt m-2]	Bias [Watt m-2]	RMSE [Watt m-2]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	416.
ACCESS-CM2_BARPA	[-]	420.	420.	416.		422.	4.45	9.50	1.52	0.416	0.521	0.800	0.881	0.628
ACCESS-CM2_CCAM	[-]	419.	418.	416.		422.	2.79	7.98	1.96	0.517	0.492	0.718	0.916	0.627
ACCESS-CM2_CMIP6	[-]	419.	419.	416.			3.61	8.11	1.47	0.471	0.483	0.813	0.981	0.646
ACCESS-ESM1-5_BARPA	[-]	420.	420.	416.		422.	4.72	8.70	1.82	0.453	0.529	0.731	0.927	0.634
ACCESS-ESM1-5_CCAM	[-]	421.	421.	416.		422.	5.49	8.50	2.02	0.420	0.527	0.693	0.975	0.628
ACCESS-ESM1-5_CMIP6	[-]	422.	422.	416.	423.		6.02	8.45	1.73	0.403	0.554	0.748	0.996	0.651
CESM2_BARPA	[-]	421.	421.	416.		422.	5.71	11.4	1.29	0.345	0.471	0.837	0.732	0.571
CESM2_CCAM	[-]	414.	414.	416.		422.	-1.29	9.01	2.37	0.493	0.454	0.631	0.927	0.592
CMCC-ESM2_BARPA	[-]	420.	420.	416.		422.	4.70	9.05	1.28	0.388	0.553	0.821	0.823	0.628
CMCC-ESM2_CCAM	[-]	415.	415.	416.		422.	-0.559	6.82	2.33	0.528	0.582	0.633	0.992	0.663
CMCC-ESM2_CMIP6	[-]	425.	425.	416.	430.		8.99	9.72	1.68	0.300	0.664	0.738	0.994	0.672
CNRM-ESM2-1_CCAM	[-]	399.	399.	416.		422.	-17.0	17.9	2.36	0.137	0.460	0.624	0.989	0.534
CNRM-ESM2-1_CMIP6	[-]	410.	409.	415.	413.		-6.01	8.61	1.32	0.447	0.477	0.815	0.992	0.641
EC-Earth3_BARPA	[-]	414.	414.	416.		422.	-1.73	9.13	1.31	0.451	0.456	0.820	0.795	0.596
EC-Earth3_CCAM	[-]	412.	412.	416.		422.	-3.95	7.20	2.21	0.498	0.526	0.662	0.986	0.640
EC-Earth3_CMIP6	[-]	412.	411.	416.	416.		-4.33	8.18	1.45	0.472	0.559	0.797	0.892	0.656
ERA5_BARPA	[-]	415.	415.	416.		422.	-0.542	5.23	1.16	0.613	0.674	0.838	0.911	0.742
ERA5_CCAM	[-]	413.	413.	416.		422.	-2.83	5.87	2.19	0.522	0.668	0.654	0.997	0.702
MPI-ESM1-2-HR_BARPA	[-]	416.	416.	416.		422.	0.374	8.77	1.20	0.446	0.454	0.833	0.815	0.600
MPI-ESM1-2-HR_CMIP6	[-]	413.	413.	416.	417.		-2.68	6.16	1.74	0.596	0.539	0.747	0.972	0.679
NorESM2-MM_BARPA	[-]	422.	422.	416.		422.	6.20	9.76	1.32	0.359	0.548	0.820	0.855	0.626
NorESM2-MM_CCAM	[-]	412.	412.	416.		422.	-4.00	7.50	2.44	0.481	0.555	0.608	0.999	0.640
NorESM2-MM_CMIP6	[-]	423.	423.	416.	424.		7.76	8.95	1.91	0.359	0.595	0.700	0.983	0.646

	Download Data	Period Mean (original grids) [Watt m-2]	Model Period Mean (intersection) [Watt m-2]	Benchmark Period Mean (intersection) [Watt m-2]	Bias [Watt m-2]	RMSE [Watt m-2]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	336.
ACCESS-CM2_BARPA	[-]	335.	336.	336.	-0.0744	7.16	0.665	0.919	0.827	0.957	0.967	0.900
ACCESS-CM2_CCAM	[-]	338.	339.	336.	2.95	8.07	0.648	0.874	0.823	0.958	0.915	0.879
ACCESS-CM2_CMIP6	[-]	338.	338.	335.	3.16	7.83	0.740	0.894	0.819	0.953	0.818	0.860
ACCESS-ESM1-5_BARPA	[-]	339.	340.	336.	4.23	7.88	0.665	0.850	0.849	0.957	0.919	0.885
ACCESS-ESM1-5_CCAM	[-]	345.	345.	336.	9.67	12.0	0.674	0.746	0.830	0.957	0.867	0.846
ACCESS-ESM1-5_CMIP6	[-]	341.	341.	337.	4.04	8.18	0.605	0.880	0.812	0.961	0.946	0.882
CESM2_BARPA	[-]	331.	331.	336.	-4.56	7.68	0.648	0.869	0.843	0.958	0.967	0.896
CESM2_CCAM	[-]	333.	334.	336.	-2.17	7.30	0.656	0.911	0.832	0.958	0.908	0.888
CMCC-ESM2_BARPA	[-]	333.	334.	336.	-2.23	6.70	0.639	0.911	0.846	0.959	0.970	0.906
CMCC-ESM2_CCAM	[-]	341.	341.	336.	5.67	7.26	0.651	0.831	0.904	0.958	0.928	0.905
CMCC-ESM2_CMIP6	[-]	347.	347.	335.	11.5	12.2	0.686	0.709	0.886	0.956	0.909	0.869
CNRM-ESM2-1_CCAM	[-]	327.	327.	336.	-8.53	10.9	0.527	0.776	0.824	0.966	0.989	0.876
CNRM-ESM2-1_CMIP6	[-]	335.	335.	337.	-2.01	6.54	0.656	0.926	0.835	0.958	0.997	0.910
EC-Earth3_BARPA	[-]	333.	334.	336.	-1.79	6.41	0.671	0.907	0.858	0.957	0.974	0.911
EC-Earth3_CCAM	[-]	340.	340.	336.	4.50	7.42	0.706	0.846	0.871	0.955	0.929	0.894
EC-Earth3_CMIP6	[-]	334.	334.	335.	-1.21	7.08	0.520	0.929	0.821	0.967	0.991	0.906
ERA5_BARPA	[-]	332.	333.	336.	-2.70	7.70	0.663	0.906	0.821	0.957	0.966	0.894
ERA5_CCAM	[-]	337.	338.	336.	1.99	6.57	0.524	0.899	0.853	0.966	0.935	0.901
MPI-ESM1-2-HR_BARPA	[-]	327.	327.	336.	-8.46	10.5	0.278	0.777	0.839	0.982	0.979	0.883
MPI-ESM1-2-HR_CMIP6	[-]	332.	332.	336.	-3.53	7.95	0.685	0.887	0.817	0.956	0.947	0.885
NorESM2-MM_BARPA	[-]	333.	333.	336.	-2.51	7.79	0.630	0.908	0.816	0.960	0.972	0.895
NorESM2-MM_CCAM	[-]	335.	336.	336.	-0.0454	6.64	0.344	0.927	0.837	0.978	0.936	0.903
NorESM2-MM_CMIP6	[-]	342.	342.	335.	6.48	7.83	0.385	0.826	0.894	0.975	0.857	0.889

	Download Data	Period Mean (original grids) [Watt m-2]	Model Period Mean (intersection) [Watt m-2]	Benchmark Period Mean (intersection) [Watt m-2]	Bias [Watt m-2]	RMSE [Watt m-2]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	354.
ACCESS-CM2_BARPA	[-]	353.	354.	354.	-0.378	6.72	0.753	0.911	0.835	0.952	0.997	0.906
ACCESS-CM2_CCAM	[-]	359.	359.	354.	4.88	7.86	0.426	0.857	0.843	0.973	0.999	0.903
ACCESS-CM2_CMIP6	[-]	355.	355.	354.	0.690	6.49	0.491	0.964	0.816	0.968	0.997	0.912
ACCESS-ESM1-5_BARPA	[-]	359.	360.	354.	5.76	8.42	0.619	0.838	0.839	0.960	0.999	0.895
ACCESS-ESM1-5_CCAM	[-]	367.	368.	354.	13.7	15.0	0.643	0.654	0.829	0.959	1.00	0.854
ACCESS-ESM1-5_CMIP6	[-]	361.	361.	354.	6.61	9.74	0.218	0.813	0.799	0.986	1.00	0.879
CESM2_BARPA	[-]	351.	351.	354.	-2.53	6.89	0.619	0.895	0.840	0.960	0.998	0.906
CESM2_CCAM	[-]	357.	357.	354.	3.16	7.14	0.217	0.885	0.842	0.986	0.994	0.910
CMCC-ESM2_BARPA	[-]	352.	353.	354.	-1.36	4.93	0.183	0.905	0.898	0.988	1.00	0.938
CMCC-ESM2_CCAM	[-]	362.	363.	354.	8.75	9.58	0.764	0.765	0.894	0.951	1.00	0.901
CMCC-ESM2_CMIP6	[-]	368.	368.	353.	14.6	14.8	0.867	0.634	0.919	0.944	0.998	0.883
CNRM-ESM2-1_CCAM	[-]	345.	345.	354.	-9.16	10.3	0.374	0.753	0.878	0.976	0.990	0.895
CNRM-ESM2-1_CMIP6	[-]	351.	351.	355.	-4.51	6.96	0.0911	0.867	0.847	0.994	0.996	0.910
EC-Earth3_BARPA	[-]	351.	351.	354.	-2.96	6.81	0.800	0.888	0.848	0.949	0.994	0.905
EC-Earth3_CCAM	[-]	359.	359.	354.	5.50	8.26	0.581	0.844	0.843	0.963	0.995	0.898
EC-Earth3_CMIP6	[-]	349.	349.	354.	-4.43	8.65	0.467	0.862	0.807	0.970	0.999	0.889
ERA5_BARPA	[-]	352.	352.	354.	-1.69	4.64	0.134	0.905	0.915	0.991	1.00	0.945
ERA5_CCAM	[-]	359.	359.	354.	5.51	6.39	0.438	0.843	0.926	0.972	1.00	0.933
MPI-ESM1-2-HR_BARPA	[-]	346.	346.	354.	-7.69	9.57	0.800	0.787	0.848	0.949	1.00	0.886
MPI-ESM1-2-HR_CMIP6	[-]	350.	350.	354.	-4.86	8.36	0.641	0.855	0.810	0.959	0.984	0.884
NorESM2-MM_BARPA	[-]	352.	353.	354.	-1.37	5.20	0.231	0.907	0.888	0.985	0.999	0.933
NorESM2-MM_CCAM	[-]	357.	357.	354.	2.86	6.30	0.800	0.895	0.860	0.949	0.999	0.913
NorESM2-MM_CMIP6	[-]	365.	365.	353.	11.8	12.3	0.867	0.694	0.897	0.944	0.996	0.885

	Download Data	Period Mean (original grids) [Watt m-2]	Model Period Mean (intersection) [Watt m-2]	Benchmark Period Mean (intersection) [Watt m-2]	Bias [Watt m-2]	RMSE [Watt m-2]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	337.
ACCESS-CM2_BARPA	[-]	332.	331.	337.	-5.70	10.5	0.142	0.765	0.801	0.991	0.942	0.860
ACCESS-CM2_CCAM	[-]	335.	334.	337.	-2.89	10.3	0.363	0.796	0.776	0.977	0.926	0.850
ACCESS-CM2_CMIP6	[-]	343.	343.	340.	3.10	6.10	0.498	0.897	0.832	0.968	0.890	0.884
ACCESS-ESM1-5_BARPA	[-]	337.	335.	337.	-1.64	10.4	0.194	0.793	0.773	0.988	0.908	0.847
ACCESS-ESM1-5_CCAM	[-]	344.	343.	337.	5.57	12.1	0.623	0.773	0.737	0.960	0.907	0.823
ACCESS-ESM1-5_CMIP6	[-]	336.	336.	334.	1.96	8.24	0.00	0.936	0.756	1.00	0.962	0.882
CESM2_BARPA	[-]	329.	328.	337.	-8.79	12.1	0.0966	0.722	0.800	0.994	0.926	0.849
CESM2_CCAM	[-]	332.	331.	337.	-6.37	12.3	0.242	0.757	0.744	0.984	0.891	0.824
CMCC-ESM2_BARPA	[-]	332.	331.	337.	-5.95	9.68	0.121	0.766	0.843	0.992	0.932	0.875
CMCC-ESM2_CCAM	[-]	339.	338.	337.	1.10	9.43	0.478	0.823	0.788	0.969	0.945	0.863
CMCC-ESM2_CMIP6	[-]	343.	343.	336.	6.53	8.31	0.550	0.795	0.842	0.965	0.999	0.889
CNRM-ESM2-1_CCAM	[-]	327.	326.	337.	-10.6	13.1	0.695	0.692	0.806	0.955	0.937	0.839
CNRM-ESM2-1_CMIP6	[-]	333.	333.	337.	-4.49	8.36	0.983	0.846	0.777	0.937	0.994	0.866
EC-Earth3_BARPA	[-]	333.	332.	337.	-5.15	10.3	0.838	0.767	0.808	0.946	0.919	0.849
EC-Earth3_CCAM	[-]	339.	338.	337.	0.581	10.7	0.814	0.809	0.756	0.948	0.922	0.838
EC-Earth3_CMIP6	[-]	328.	328.	338.	-9.33	13.1	0.376	0.718	0.751	0.976	1.00	0.839
ERA5_BARPA	[-]	331.	330.	337.	-6.89	9.99	0.428	0.755	0.855	0.973	0.941	0.876
ERA5_CCAM	[-]	336.	335.	337.	-1.89	8.43	0.813	0.810	0.835	0.948	0.936	0.873
MPI-ESM1-2-HR_BARPA	[-]	326.	325.	337.	-12.5	14.8	0.791	0.657	0.790	0.949	0.904	0.818
MPI-ESM1-2-HR_CMIP6	[-]	329.	329.	338.	-8.58	11.6	0.497	0.732	0.758	0.968	0.981	0.839
NorESM2-MM_BARPA	[-]	331.	329.	337.	-7.58	10.7	0.407	0.746	0.828	0.974	0.947	0.864
NorESM2-MM_CCAM	[-]	332.	331.	337.	-5.85	9.85	0.862	0.766	0.823	0.945	0.963	0.864
NorESM2-MM_CMIP6	[-]	339.	339.	336.	2.33	5.57	0.983	0.904	0.858	0.937	0.990	0.909

	Download Data	Period Mean (original grids) [Watt m-2]	Model Period Mean (intersection) [Watt m-2]	Benchmark Period Mean (intersection) [Watt m-2]	Bias [Watt m-2]	RMSE [Watt m-2]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	373.
ACCESS-CM2_BARPA	[-]	371.	371.	373.	-2.35	9.45	0.847	0.903	0.771	0.946	0.996	0.877
ACCESS-CM2_CCAM	[-]	371.	372.	373.	-1.54	8.41	0.477	0.892	0.806	0.969	1.00	0.895
ACCESS-CM2_CMIP6	[-]	373.	373.	374.	-1.40	9.61	0.931	0.949	0.745	0.940	1.00	0.876
ACCESS-ESM1-5_BARPA	[-]	376.	376.	373.	3.23	8.87	0.754	0.871	0.799	0.952	0.996	0.884
ACCESS-ESM1-5_CCAM	[-]	382.	383.	373.	9.66	13.2	0.525	0.743	0.783	0.966	1.00	0.855
ACCESS-ESM1-5_CMIP6	[-]	380.	380.	374.	5.81	12.3	0.397	0.831	0.714	0.974	0.999	0.847
CESM2_BARPA	[-]	368.	368.	373.	-5.20	9.97	0.639	0.850	0.787	0.959	0.993	0.875
CESM2_CCAM	[-]	371.	371.	373.	-2.22	9.61	0.175	0.887	0.777	0.989	0.993	0.885
CMCC-ESM2_BARPA	[-]	368.	368.	373.	-5.05	7.41	0.268	0.853	0.867	0.983	0.997	0.913
CMCC-ESM2_CCAM	[-]	377.	377.	373.	4.38	7.64	0.804	0.844	0.875	0.948	0.999	0.908
CMCC-ESM2_CMIP6	[-]	385.	385.	373.	12.6	13.2	0.807	0.681	0.890	0.948	0.998	0.881
CNRM-ESM2-1_CCAM	[-]	353.	354.	373.	-19.6	20.3	0.345	0.551	0.853	0.978	0.985	0.844
CNRM-ESM2-1_CMIP6	[-]	365.	365.	373.	-7.70	10.6	0.186	0.784	0.800	0.988	0.997	0.874
EC-Earth3_BARPA	[-]	364.	364.	373.	-8.70	12.1	0.649	0.766	0.782	0.958	1.00	0.858
EC-Earth3_CCAM	[-]	371.	371.	373.	-2.01	7.15	0.291	0.883	0.846	0.981	0.997	0.911
EC-Earth3_CMIP6	[-]	365.	365.	373.	-7.17	11.5	0.228	0.804	0.770	0.985	0.992	0.864
ERA5_BARPA	[-]	369.	369.	373.	-4.33	5.81	0.308	0.869	0.916	0.980	0.997	0.936
ERA5_CCAM	[-]	374.	374.	373.	1.24	5.29	0.357	0.896	0.903	0.977	1.00	0.936
MPI-ESM1-2-HR_BARPA	[-]	362.	362.	373.	-11.3	14.1	0.847	0.708	0.778	0.946	0.997	0.841
MPI-ESM1-2-HR_CMIP6	[-]	368.	368.	373.	-4.96	10.5	0.389	0.857	0.763	0.975	0.987	0.869
NorESM2-MM_BARPA	[-]	370.	370.	373.	-3.30	7.32	0.214	0.890	0.840	0.986	0.992	0.909
NorESM2-MM_CCAM	[-]	371.	371.	373.	-1.71	6.72	0.551	0.895	0.854	0.965	0.996	0.912
NorESM2-MM_CMIP6	[-]	384.	384.	373.	11.9	12.7	0.326	0.694	0.872	0.979	1.00	0.883

	Download Data	Period Mean (original grids) [Watt m-2]	Model Period Mean (intersection) [Watt m-2]	Benchmark Period Mean (intersection) [Watt m-2]	Bias [Watt m-2]	RMSE [Watt m-2]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	384.
ACCESS-CM2_BARPA	[-]	387.	388.	384.	4.00	10.5	1.03	0.874	0.776	0.897	0.990	0.863
ACCESS-CM2_CCAM	[-]	386.	387.	384.	3.03	10.4	1.07	0.892	0.767	0.901	0.999	0.865
ACCESS-CM2_CMIP6	[-]	386.	386.	384.	2.83	11.1	1.21	0.905	0.748	0.873	0.955	0.846
ACCESS-ESM1-5_BARPA	[-]	389.	390.	384.	5.90	10.2	0.801	0.838	0.798	0.934	0.983	0.870
ACCESS-ESM1-5_CCAM	[-]	394.	394.	384.	10.3	14.4	0.653	0.739	0.761	0.941	0.983	0.837
ACCESS-ESM1-5_CMIP6	[-]	390.	390.	383.	6.77	13.3	0.714	0.815	0.726	0.937	0.935	0.828
CESM2_BARPA	[-]	384.	384.	384.	0.264	10.5	0.645	0.907	0.754	0.951	0.978	0.869
CESM2_CCAM	[-]	380.	381.	384.	-3.12	13.3	0.604	0.891	0.700	0.958	0.914	0.833
CMCC-ESM2_BARPA	[-]	386.	386.	384.	2.60	8.88	0.560	0.884	0.812	0.962	0.994	0.893
CMCC-ESM2_CCAM	[-]	392.	392.	384.	8.13	12.9	1.23	0.796	0.760	0.876	0.966	0.832
CMCC-ESM2_CMIP6	[-]	400.	400.	383.	16.8	17.7	0.642	0.616	0.861	0.955	0.949	0.849
CNRM-ESM2-1_CCAM	[-]	368.	368.	384.	-15.6	16.8	0.897	0.633	0.839	0.924	0.996	0.846
CNRM-ESM2-1_CMIP6	[-]	379.	379.	383.	-3.75	8.92	0.500	0.877	0.806	0.966	0.998	0.891
EC-Earth3_BARPA	[-]	380.	380.	384.	-3.70	9.61	0.553	0.876	0.784	0.963	0.998	0.881
EC-Earth3_CCAM	[-]	383.	383.	384.	-0.380	6.89	1.05	0.922	0.837	0.899	1.00	0.899
EC-Earth3_CMIP6	[-]	379.	379.	384.	-4.22	10.1	0.875	0.855	0.794	0.918	0.970	0.866
ERA5_BARPA	[-]	384.	384.	384.	0.274	5.61	0.816	0.912	0.885	0.931	0.993	0.921
ERA5_CCAM	[-]	387.	387.	384.	3.16	6.83	1.35	0.894	0.864	0.857	0.998	0.895
MPI-ESM1-2-HR_BARPA	[-]	379.	379.	384.	-4.34	9.08	0.739	0.861	0.810	0.937	0.986	0.881
MPI-ESM1-2-HR_CMIP6	[-]	382.	382.	383.	-0.812	7.77	0.621	0.933	0.809	0.958	0.996	0.901
NorESM2-MM_BARPA	[-]	387.	387.	384.	3.46	8.57	0.560	0.879	0.829	0.962	0.989	0.898
NorESM2-MM_CCAM	[-]	383.	383.	384.	-0.624	8.55	0.732	0.924	0.799	0.941	0.997	0.892
NorESM2-MM_CMIP6	[-]	397.	397.	383.	13.5	14.5	0.536	0.671	0.864	0.964	0.995	0.872

	Download Data	Period Mean (original grids) [Watt m-2]	Model Period Mean (intersection) [Watt m-2]	Benchmark Period Mean (intersection) [Watt m-2]	Bias [Watt m-2]	RMSE [Watt m-2]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	327.
ACCESS-CM2_BARPA	[-]	325.	325.	327.	-1.89	10.8	0.216	0.867	0.699	0.986	0.977	0.846
ACCESS-CM2_CCAM	[-]	325.	325.	327.	-1.96	10.9	0.756	0.840	0.712	0.951	0.934	0.830
ACCESS-CM2_CMIP6	[-]	328.	328.	327.	0.387	11.5	0.685	0.867	0.675	0.956	0.693	0.773
ACCESS-ESM1-5_BARPA	[-]	327.	327.	327.	-0.0600	9.45	0.681	0.865	0.743	0.956	0.952	0.852
ACCESS-ESM1-5_CCAM	[-]	329.	329.	327.	1.51	9.43	0.823	0.848	0.759	0.947	0.936	0.850
ACCESS-ESM1-5_CMIP6	[-]	326.	326.	327.	-0.927	9.11	0.492	0.886	0.727	0.968	0.975	0.857
CESM2_BARPA	[-]	320.	320.	327.	-7.53	12.8	0.200	0.756	0.698	0.987	0.993	0.826
CESM2_CCAM	[-]	320.	320.	327.	-7.68	10.7	0.266	0.752	0.791	0.983	0.990	0.861
CMCC-ESM2_BARPA	[-]	322.	322.	327.	-5.41	12.9	0.190	0.801	0.668	0.988	0.989	0.823
CMCC-ESM2_CCAM	[-]	326.	326.	327.	-1.06	7.46	0.783	0.835	0.833	0.950	0.950	0.880
CMCC-ESM2_CMIP6	[-]	331.	331.	327.	3.59	7.87	0.722	0.832	0.819	0.954	0.990	0.883
CNRM-ESM2-1_CCAM	[-]	319.	319.	327.	-8.50	12.1	0.834	0.734	0.747	0.946	0.927	0.820
CNRM-ESM2-1_CMIP6	[-]	326.	326.	328.	-2.18	8.52	0.754	0.900	0.740	0.952	0.994	0.865
EC-Earth3_BARPA	[-]	325.	325.	327.	-2.04	9.31	0.517	0.876	0.741	0.967	0.949	0.855
EC-Earth3_CCAM	[-]	331.	331.	327.	3.44	8.10	0.778	0.825	0.812	0.950	0.903	0.861
EC-Earth3_CMIP6	[-]	322.	322.	327.	-5.59	8.98	0.776	0.800	0.795	0.950	0.886	0.845
ERA5_BARPA	[-]	323.	323.	327.	-4.36	12.4	0.806	0.832	0.669	0.948	0.978	0.819
ERA5_CCAM	[-]	325.	325.	327.	-2.57	8.91	0.561	0.849	0.767	0.964	0.960	0.861
MPI-ESM1-2-HR_BARPA	[-]	319.	319.	327.	-8.45	14.5	0.520	0.735	0.660	0.967	0.976	0.800
MPI-ESM1-2-HR_CMIP6	[-]	322.	322.	327.	-5.83	11.1	0.222	0.798	0.710	0.986	0.983	0.837
NorESM2-MM_BARPA	[-]	322.	322.	327.	-5.67	13.0	0.640	0.794	0.669	0.959	0.989	0.816
NorESM2-MM_CCAM	[-]	320.	321.	327.	-6.74	11.6	0.783	0.758	0.739	0.950	0.979	0.833
NorESM2-MM_CMIP6	[-]	330.	330.	327.	2.07	8.69	0.826	0.909	0.739	0.947	0.972	0.861

	Download Data	Period Mean (original grids) [Watt m-2]	Model Period Mean (intersection) [Watt m-2]	Benchmark Period Mean (intersection) [Watt m-2]	Bias [Watt m-2]	RMSE [Watt m-2]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	354.
ACCESS-CM2_BARPA	[-]	353.	354.	354.	-0.400	8.90	0.624	0.906	0.828	0.957	0.996	0.903
ACCESS-CM2_CCAM	[-]	353.	353.	354.	-0.773	8.98	0.533	0.921	0.817	0.966	0.996	0.904
ACCESS-CM2_CMIP6	[-]	352.	352.	354.	-2.24	8.68	0.585	0.923	0.822	0.960	0.999	0.905
ACCESS-ESM1-5_BARPA	[-]	356.	356.	354.	2.58	8.18	0.533	0.901	0.847	0.964	0.998	0.911
ACCESS-ESM1-5_CCAM	[-]	358.	358.	354.	4.02	9.90	0.230	0.884	0.818	0.985	0.976	0.896
ACCESS-ESM1-5_CMIP6	[-]	354.	354.	354.	0.142	9.92	0.230	0.941	0.789	0.985	0.995	0.900
CESM2_BARPA	[-]	347.	348.	354.	-6.42	11.2	0.328	0.848	0.814	0.979	0.992	0.889
CESM2_CCAM	[-]	343.	343.	354.	-10.5	15.9	0.544	0.772	0.757	0.965	0.993	0.849
CMCC-ESM2_BARPA	[-]	351.	351.	354.	-2.89	10.4	0.211	0.873	0.821	0.986	0.982	0.897
CMCC-ESM2_CCAM	[-]	362.	362.	354.	8.05	10.8	0.585	0.820	0.851	0.960	0.989	0.894
CMCC-ESM2_CMIP6	[-]	369.	369.	354.	15.1	16.2	0.290	0.685	0.872	0.981	0.989	0.880
CNRM-ESM2-1_CCAM	[-]	339.	339.	354.	-14.5	16.2	0.493	0.697	0.842	0.968	0.976	0.865
CNRM-ESM2-1_CMIP6	[-]	352.	352.	354.	-2.18	7.87	0.531	0.924	0.844	0.966	0.989	0.913
EC-Earth3_BARPA	[-]	349.	350.	354.	-4.33	8.61	0.331	0.885	0.851	0.979	0.998	0.913
EC-Earth3_CCAM	[-]	356.	356.	354.	1.91	7.01	0.211	0.922	0.863	0.986	0.994	0.926
EC-Earth3_CMIP6	[-]	349.	349.	354.	-4.26	8.87	0.255	0.892	0.831	0.984	1.00	0.907
ERA5_BARPA	[-]	351.	351.	354.	-3.18	8.24	0.263	0.892	0.861	0.983	0.999	0.919
ERA5_CCAM	[-]	353.	353.	354.	-0.769	6.07	0.482	0.926	0.887	0.965	0.993	0.931
MPI-ESM1-2-HR_BARPA	[-]	346.	346.	354.	-8.16	10.8	0.270	0.814	0.854	0.983	0.996	0.900
MPI-ESM1-2-HR_CMIP6	[-]	352.	352.	354.	-1.67	7.35	0.245	0.929	0.849	0.984	0.997	0.921
NorESM2-MM_BARPA	[-]	351.	351.	354.	-2.58	9.80	0.217	0.882	0.825	0.986	0.987	0.901
NorESM2-MM_CCAM	[-]	351.	351.	354.	-3.16	9.54	0.401	0.908	0.817	0.974	0.997	0.903
NorESM2-MM_CMIP6	[-]	362.	362.	354.	7.76	10.2	0.386	0.820	0.867	0.975	0.977	0.901

	Download Data	Period Mean (original grids) [Watt m-2]	Model Period Mean (intersection) [Watt m-2]	Benchmark Period Mean (intersection) [Watt m-2]	Bias [Watt m-2]	RMSE [Watt m-2]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	336.
ACCESS-CM2_BARPA	[-]	337.	337.	336.	1.47	8.33	0.314	0.891	0.806	0.980	0.998	0.896
ACCESS-CM2_CCAM	[-]	335.	335.	336.	-1.28	7.58	0.250	0.891	0.824	0.984	0.983	0.901
ACCESS-CM2_CMIP6	[-]	335.	335.	336.	-0.986	7.31	0.306	0.909	0.818	0.980	0.997	0.905
ACCESS-ESM1-5_BARPA	[-]	340.	340.	336.	3.73	7.93	0.385	0.864	0.844	0.975	0.998	0.905
ACCESS-ESM1-5_CCAM	[-]	335.	335.	336.	-0.687	7.06	0.302	0.916	0.825	0.981	1.00	0.909
ACCESS-ESM1-5_CMIP6	[-]	335.	335.	336.	-1.34	6.86	0.563	0.919	0.824	0.964	0.997	0.905
CESM2_BARPA	[-]	329.	330.	336.	-6.45	10.3	0.430	0.816	0.790	0.972	1.00	0.874
CESM2_CCAM	[-]	326.	327.	336.	-9.36	12.3	0.547	0.750	0.813	0.965	0.984	0.865
CMCC-ESM2_BARPA	[-]	334.	334.	336.	-2.06	10.0	0.320	0.877	0.766	0.979	0.981	0.874
CMCC-ESM2_CCAM	[-]	341.	341.	336.	4.80	8.74	0.293	0.826	0.857	0.981	0.913	0.887
CMCC-ESM2_CMIP6	[-]	346.	346.	336.	10.4	12.3	0.584	0.733	0.836	0.963	0.952	0.864
CNRM-ESM2-1_CCAM	[-]	328.	328.	336.	-8.32	10.2	0.273	0.775	0.840	0.982	0.971	0.882
CNRM-ESM2-1_CMIP6	[-]	338.	338.	336.	1.52	6.65	0.221	0.924	0.833	0.986	0.994	0.914
EC-Earth3_BARPA	[-]	337.	337.	336.	1.27	7.87	0.558	0.899	0.817	0.964	0.999	0.899
EC-Earth3_CCAM	[-]	342.	342.	336.	6.52	9.34	0.509	0.816	0.839	0.967	0.997	0.892
EC-Earth3_CMIP6	[-]	335.	335.	336.	-0.976	7.62	0.561	0.906	0.810	0.964	0.985	0.895
ERA5_BARPA	[-]	335.	335.	336.	-0.937	8.89	0.282	0.898	0.787	0.982	0.999	0.890
ERA5_CCAM	[-]	334.	334.	336.	-1.97	6.10	0.217	0.900	0.865	0.986	0.999	0.923
MPI-ESM1-2-HR_BARPA	[-]	330.	330.	336.	-5.88	9.84	0.676	0.829	0.795	0.957	0.998	0.875
MPI-ESM1-2-HR_CMIP6	[-]	334.	334.	336.	-2.26	7.99	0.687	0.874	0.819	0.956	0.960	0.886
NorESM2-MM_BARPA	[-]	334.	334.	336.	-1.95	9.16	0.538	0.896	0.780	0.966	0.996	0.884
NorESM2-MM_CCAM	[-]	330.	330.	336.	-6.08	10.6	0.666	0.819	0.787	0.957	0.971	0.865
NorESM2-MM_CMIP6	[-]	339.	339.	336.	3.31	8.37	0.776	0.892	0.808	0.950	0.959	0.884

	Download Data	Period Mean (original grids) [Watt m-2]	Model Period Mean (intersection) [Watt m-2]	Benchmark Period Mean (intersection) [Watt m-2]	Bias [Watt m-2]	RMSE [Watt m-2]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	320.
ACCESS-CM2_BARPA	[-]	311.	311.	320.	-9.10	11.4	0.655	0.623	0.710	0.958	0.827	0.766
ACCESS-CM2_CCAM	[-]	308.	308.	320.	-12.3	14.1	0.819	0.533	0.714	0.947	0.557	0.693
ACCESS-CM2_CMIP6	[-]	325.	325.	320.	4.54	10.6	0.487	0.759	0.564	0.969	0.943	0.760
ACCESS-ESM1-5_BARPA	[-]	312.	312.	320.	-8.11	10.4	0.901	0.660	0.723	0.942	0.790	0.768
ACCESS-ESM1-5_CCAM	[-]	312.	312.	320.	-7.80	10.1	0.901	0.679	0.748	0.942	0.585	0.740
ACCESS-ESM1-5_CMIP6	[-]	318.	318.	324.	-6.10	7.71	0.00	0.694	0.753	1.00	1.00	0.840
CESM2_BARPA	[-]	307.	307.	320.	-13.3	14.6	0.0827	0.494	0.739	0.995	0.841	0.762
CESM2_CCAM	[-]	307.	307.	320.	-12.7	13.4	0.495	0.517	0.819	0.968	0.610	0.747
CMCC-ESM2_BARPA	[-]	309.	309.	320.	-10.6	12.2	0.901	0.575	0.739	0.942	0.855	0.770
CMCC-ESM2_CCAM	[-]	308.	309.	320.	-11.3	11.8	0.737	0.563	0.863	0.953	0.532	0.755
CMCC-ESM2_CMIP6	[-]	321.	321.	321.	-0.0128	6.35	0.983	0.919	0.702	0.937	0.607	0.773
CNRM-ESM2-1_CCAM	[-]	303.	303.	320.	-16.6	18.5	0.331	0.424	0.660	0.979	0.537	0.652
CNRM-ESM2-1_CMIP6	[-]	316.	316.	321.	-5.16	10.5	0.497	0.752	0.601	0.968	0.944	0.773
EC-Earth3_BARPA	[-]	313.	312.	320.	-7.51	10.2	0.901	0.678	0.718	0.942	0.773	0.766
EC-Earth3_CCAM	[-]	316.	316.	320.	-3.91	7.87	0.901	0.771	0.758	0.942	0.570	0.760
EC-Earth3_CMIP6	[-]	310.	310.	320.	-9.86	14.9	0.492	0.576	0.621	0.968	0.294	0.616
ERA5_BARPA	[-]	310.	310.	320.	-9.63	12.2	0.819	0.608	0.689	0.947	0.837	0.754
ERA5_CCAM	[-]	308.	308.	320.	-11.7	12.9	0.412	0.550	0.766	0.974	0.651	0.741
MPI-ESM1-2-HR_BARPA	[-]	305.	305.	320.	-15.0	16.9	0.901	0.454	0.672	0.942	0.855	0.719
MPI-ESM1-2-HR_CMIP6	[-]	306.	306.	320.	-14.2	19.3	0.659	0.491	0.582	0.958	0.627	0.648
NorESM2-MM_BARPA	[-]	309.	308.	320.	-11.5	13.4	0.901	0.546	0.708	0.942	0.862	0.753
NorESM2-MM_CCAM	[-]	303.	303.	320.	-16.5	18.0	0.901	0.420	0.695	0.942	0.684	0.687
NorESM2-MM_CMIP6	[-]	323.	323.	321.	2.10	7.10	0.983	0.888	0.680	0.937	0.960	0.829

	Download Data	Period Mean (original grids) [Watt m-2]	Model Period Mean (intersection) [Watt m-2]	Benchmark Period Mean (intersection) [Watt m-2]	Bias [Watt m-2]	RMSE [Watt m-2]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	321.
ACCESS-CM2_BARPA	[-]	320.	320.	321.	-1.20	9.31	0.245	0.733	0.621	0.984	0.811	0.754
ACCESS-CM2_CCAM	[-]	318.	319.	321.	-2.56	9.47	0.553	0.706	0.660	0.965	0.628	0.724
ACCESS-CM2_CMIP6	[-]	326.	326.	323.	3.49	10.6	2.00	0.776	0.482	0.756	1.00	0.699
ACCESS-ESM1-5_BARPA	[-]	321.	322.	321.	0.621	9.97	0.617	0.722	0.597	0.960	0.780	0.731
ACCESS-ESM1-5_CCAM	[-]	326.	327.	321.	5.49	10.8	0.617	0.623	0.674	0.960	0.557	0.698
ACCESS-ESM1-5_CMIP6	[-]	316.	316.	321.	-4.45	8.64	0.983	0.755	0.626	0.937	0.980	0.785
CESM2_BARPA	[-]	315.	316.	321.	-5.61	10.4	0.428	0.695	0.619	0.966	0.825	0.745
CESM2_CCAM	[-]	318.	320.	321.	-1.91	7.52	0.553	0.726	0.740	0.958	0.669	0.766
CMCC-ESM2_BARPA	[-]	317.	318.	321.	-3.40	9.94	0.741	0.734	0.600	0.945	0.789	0.734
CMCC-ESM2_CCAM	[-]	316.	318.	321.	-3.78	7.49	0.556	0.721	0.759	0.964	0.722	0.785
CMCC-ESM2_CMIP6	[-]	323.	323.	322.	1.13	7.90	0.660	0.836	0.614	0.958	0.993	0.803
CNRM-ESM2-1_CCAM	[-]	316.	318.	321.	-3.59	9.75	0.617	0.694	0.669	0.960	0.516	0.702
CNRM-ESM2-1_CMIP6	[-]	321.	321.	323.	-1.35	9.42	0.330	0.777	0.555	0.979	0.888	0.751
EC-Earth3_BARPA	[-]	320.	321.	321.	-0.442	8.59	1.23	0.748	0.649	0.880	0.796	0.744
EC-Earth3_CCAM	[-]	326.	328.	321.	6.30	9.77	0.802	0.628	0.731	0.935	0.608	0.726
EC-Earth3_CMIP6	[-]	311.	311.	322.	-10.6	12.5	0.494	0.498	0.679	0.968	0.853	0.736
ERA5_BARPA	[-]	317.	318.	321.	-3.21	9.19	0.369	0.749	0.627	0.976	0.805	0.757
ERA5_CCAM	[-]	318.	319.	321.	-2.64	7.89	0.371	0.746	0.715	0.969	0.672	0.763
MPI-ESM1-2-HR_BARPA	[-]	316.	316.	321.	-5.03	11.4	0.861	0.691	0.571	0.938	0.718	0.698
MPI-ESM1-2-HR_CMIP6	[-]	319.	319.	321.	-2.13	11.3	0.389	0.777	0.511	0.975	0.972	0.749
NorESM2-MM_BARPA	[-]	316.	317.	321.	-4.80	9.88	0.678	0.717	0.621	0.956	0.854	0.754
NorESM2-MM_CCAM	[-]	315.	316.	321.	-5.78	11.0	0.617	0.676	0.610	0.960	0.701	0.712
NorESM2-MM_CMIP6	[-]	328.	328.	322.	5.69	9.93	0.660	0.683	0.585	0.958	0.744	0.711

	Download Data	Period Mean (original grids) [Watt m-2]	Model Period Mean (intersection) [Watt m-2]	Benchmark Period Mean (intersection) [Watt m-2]	Bias [Watt m-2]	RMSE [Watt m-2]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	327.
ACCESS-CM2_BARPA	[-]	319.	316.	327.	-11.1	12.8	0.324	0.637	0.794	0.979	0.951	0.831
ACCESS-CM2_CCAM	[-]	316.	314.	327.	-13.0	14.6	0.857	0.587	0.778	0.945	0.927	0.803
ACCESS-CM2_CMIP6	[-]	332.	332.	333.	-0.837	7.28	0.983	0.869	0.762	0.937	0.634	0.793
ACCESS-ESM1-5_BARPA	[-]	320.	317.	327.	-9.80	12.4	0.859	0.672	0.760	0.945	0.920	0.811
ACCESS-ESM1-5_CCAM	[-]	322.	320.	327.	-7.38	11.6	0.983	0.729	0.724	0.937	0.892	0.801
ACCESS-ESM1-5_CMIP6	[-]	325.	325.	330.	-4.36	8.09	0.323	0.832	0.755	0.979	0.989	0.862
CESM2_BARPA	[-]	315.	312.	327.	-15.2	16.1	0.569	0.534	0.817	0.963	0.943	0.815
CESM2_CCAM	[-]	313.	311.	327.	-16.4	17.6	0.777	0.508	0.771	0.950	0.931	0.786
CMCC-ESM2_BARPA	[-]	318.	316.	327.	-11.4	12.7	0.243	0.628	0.822	0.984	0.929	0.837
CMCC-ESM2_CCAM	[-]	320.	318.	327.	-9.16	11.8	0.983	0.684	0.767	0.937	0.945	0.820
CMCC-ESM2_CMIP6	[-]	334.	334.	329.	4.92	7.24	0.983	0.806	0.811	0.937	0.998	0.872
CNRM-ESM2-1_CCAM	[-]	312.	309.	327.	-17.7	18.8	0.983	0.483	0.793	0.937	0.863	0.774
CNRM-ESM2-1_CMIP6	[-]	320.	320.	327.	-6.79	10.4	0.653	0.721	0.701	0.958	0.999	0.816
EC-Earth3_BARPA	[-]	320.	317.	327.	-9.95	12.0	0.901	0.663	0.794	0.942	0.910	0.820
EC-Earth3_CCAM	[-]	324.	322.	327.	-5.51	10.1	0.983	0.756	0.758	0.937	0.869	0.816
EC-Earth3_CMIP6	[-]	316.	316.	328.	-12.4	15.9	0.654	0.579	0.700	0.958	0.666	0.721
ERA5_BARPA	[-]	318.	315.	327.	-12.0	13.4	0.983	0.613	0.811	0.937	0.942	0.822
ERA5_CCAM	[-]	319.	317.	327.	-10.3	11.7	0.779	0.657	0.830	0.950	0.926	0.839
MPI-ESM1-2-HR_BARPA	[-]	312.	309.	327.	-17.7	19.0	0.983	0.481	0.772	0.937	0.903	0.773
MPI-ESM1-2-HR_CMIP6	[-]	314.	314.	328.	-13.2	16.3	0.983	0.574	0.687	0.937	0.993	0.776
NorESM2-MM_BARPA	[-]	317.	314.	327.	-13.1	14.3	0.983	0.583	0.812	0.937	0.961	0.821
NorESM2-MM_CCAM	[-]	313.	311.	327.	-15.9	16.8	0.983	0.514	0.813	0.937	0.973	0.810
NorESM2-MM_CMIP6	[-]	330.	330.	329.	0.700	5.03	0.983	0.915	0.826	0.937	1.00	0.901

	Download Data	Period Mean (original grids) [Watt m-2]	Model Period Mean (intersection) [Watt m-2]	Benchmark Period Mean (intersection) [Watt m-2]	Bias [Watt m-2]	RMSE [Watt m-2]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	329.
ACCESS-CM2_BARPA	[-]	325.	324.	329.	-4.95	10.3	0.608	0.794	0.687	0.961	0.762	0.778
ACCESS-CM2_CCAM	[-]	323.	323.	329.	-6.66	11.0	0.702	0.735	0.702	0.955	0.635	0.746
ACCESS-CM2_CMIP6	[-]	328.	328.	330.	-2.48	10.3	1.31	0.870	0.579	0.879	0.870	0.755
ACCESS-ESM1-5_BARPA	[-]	326.	325.	329.	-4.17	9.69	0.702	0.823	0.692	0.955	0.748	0.782
ACCESS-ESM1-5_CCAM	[-]	329.	328.	329.	-1.15	7.96	0.702	0.883	0.729	0.955	0.495	0.758
ACCESS-ESM1-5_CMIP6	[-]	322.	322.	329.	-6.89	13.9	0.983	0.741	0.592	0.937	0.0741	0.587
CESM2_BARPA	[-]	321.	320.	329.	-9.34	13.4	0.421	0.643	0.668	0.973	0.736	0.737
CESM2_CCAM	[-]	321.	320.	329.	-9.50	11.4	0.655	0.643	0.786	0.958	0.549	0.744
CMCC-ESM2_BARPA	[-]	323.	322.	329.	-7.07	12.4	0.655	0.719	0.643	0.958	0.686	0.730
CMCC-ESM2_CCAM	[-]	322.	321.	329.	-8.09	9.75	0.702	0.685	0.801	0.955	0.652	0.779
CMCC-ESM2_CMIP6	[-]	327.	327.	330.	-2.90	7.04	0.592	0.855	0.725	0.962	0.972	0.848
CNRM-ESM2-1_CCAM	[-]	320.	320.	329.	-9.70	12.7	0.702	0.641	0.717	0.955	0.433	0.692
CNRM-ESM2-1_CMIP6	[-]	325.	325.	331.	-6.85	9.27	0.00	0.657	0.682	1.00	1.00	0.804
EC-Earth3_BARPA	[-]	325.	325.	329.	-4.80	9.47	0.702	0.801	0.712	0.955	0.703	0.777
EC-Earth3_CCAM	[-]	331.	330.	329.	0.521	6.65	0.702	0.867	0.776	0.955	0.477	0.770
EC-Earth3_CMIP6	[-]	319.	319.	330.	-10.9	12.5	0.656	0.587	0.747	0.958	0.313	0.670
ERA5_BARPA	[-]	324.	323.	329.	-6.15	11.5	0.702	0.750	0.657	0.955	0.711	0.746
ERA5_CCAM	[-]	324.	324.	329.	-5.59	9.72	0.468	0.778	0.720	0.970	0.534	0.744
MPI-ESM1-2-HR_BARPA	[-]	321.	320.	329.	-9.35	14.4	0.702	0.644	0.625	0.955	0.666	0.703
MPI-ESM1-2-HR_CMIP6	[-]	320.	320.	330.	-10.1	15.9	0.590	0.608	0.551	0.962	0.794	0.693
NorESM2-MM_BARPA	[-]	321.	321.	329.	-8.66	13.2	0.702	0.664	0.655	0.955	0.760	0.738
NorESM2-MM_CCAM	[-]	319.	318.	329.	-11.2	14.3	0.702	0.592	0.690	0.955	0.613	0.708
NorESM2-MM_CMIP6	[-]	330.	330.	330.	0.380	9.10	0.592	0.953	0.626	0.962	0.940	0.822

	Download Data	Period Mean (original grids) [Watt m-2]	Model Period Mean (intersection) [Watt m-2]	Benchmark Period Mean (intersection) [Watt m-2]	Bias [Watt m-2]	RMSE [Watt m-2]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	336.
ACCESS-CM2_BARPA	[-]	327.	327.	336.	-8.60	12.7	0.520	0.693	0.694	0.967	0.985	0.806
ACCESS-CM2_CCAM	[-]	324.	324.	336.	-11.7	13.8	0.493	0.607	0.743	0.968	0.981	0.808
ACCESS-CM2_CMIP6	[-]	329.	329.	337.	-7.95	10.8	0.733	0.673	0.704	0.953	0.885	0.784
ACCESS-ESM1-5_BARPA	[-]	328.	329.	336.	-7.26	11.0	0.493	0.733	0.726	0.968	0.984	0.827
ACCESS-ESM1-5_CCAM	[-]	329.	328.	336.	-7.39	9.92	0.493	0.734	0.768	0.968	0.963	0.840
ACCESS-ESM1-5_CMIP6	[-]	325.	325.	333.	-7.98	11.6	0.660	0.718	0.716	0.958	0.330	0.687
CESM2_BARPA	[-]	321.	321.	336.	-15.0	18.4	0.491	0.527	0.658	0.969	0.979	0.758
CESM2_CCAM	[-]	319.	319.	336.	-17.0	18.3	0.493	0.486	0.769	0.968	0.982	0.795
CMCC-ESM2_BARPA	[-]	323.	323.	336.	-12.7	17.2	0.629	0.582	0.629	0.960	0.942	0.749
CMCC-ESM2_CCAM	[-]	327.	327.	336.	-8.64	10.1	0.493	0.692	0.818	0.968	0.972	0.854
CMCC-ESM2_CMIP6	[-]	333.	333.	336.	-2.97	6.02	0.560	0.835	0.835	0.964	0.837	0.861
CNRM-ESM2-1_CCAM	[-]	323.	323.	336.	-12.6	14.1	0.493	0.588	0.786	0.968	0.877	0.801
CNRM-ESM2-1_CMIP6	[-]	330.	330.	336.	-5.48	9.16	0.590	0.787	0.739	0.962	0.993	0.844
EC-Earth3_BARPA	[-]	327.	327.	336.	-8.70	12.1	0.466	0.691	0.721	0.970	0.974	0.815
EC-Earth3_CCAM	[-]	334.	334.	336.	-1.59	6.80	0.493	0.891	0.775	0.968	0.929	0.868
EC-Earth3_CMIP6	[-]	328.	328.	336.	-7.47	13.5	0.544	0.699	0.653	0.950	0.415	0.674
ERA5_BARPA	[-]	326.	326.	336.	-9.87	13.9	0.493	0.657	0.683	0.968	0.970	0.792
ERA5_CCAM	[-]	327.	327.	336.	-9.17	11.1	0.493	0.680	0.784	0.968	0.962	0.836
MPI-ESM1-2-HR_BARPA	[-]	323.	323.	336.	-13.0	16.3	0.437	0.576	0.681	0.972	0.935	0.769
MPI-ESM1-2-HR_CMIP6	[-]	324.	324.	336.	-12.5	14.4	0.656	0.564	0.730	0.958	0.994	0.795
NorESM2-MM_BARPA	[-]	323.	324.	336.	-12.2	15.9	0.491	0.593	0.674	0.968	0.960	0.774
NorESM2-MM_CCAM	[-]	321.	321.	336.	-14.6	17.0	0.493	0.536	0.715	0.968	0.997	0.786
NorESM2-MM_CMIP6	[-]	333.	333.	336.	-2.96	8.61	0.560	0.878	0.712	0.964	0.923	0.838

	Download Data	Period Mean (original grids) [Watt m-2]	Model Period Mean (intersection) [Watt m-2]	Benchmark Period Mean (intersection) [Watt m-2]	Bias [Watt m-2]	RMSE [Watt m-2]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	332.
ACCESS-CM2_BARPA	[-]	332.	332.	332.	-0.310	7.01	0.0842	0.865	0.762	0.995	0.789	0.835
ACCESS-CM2_CCAM	[-]	330.	330.	332.	-2.39	6.43	0.162	0.857	0.782	0.990	0.913	0.865
ACCESS-CM2_CMIP6	[-]	331.	331.	333.	-1.81	6.52	0.373	0.885	0.766	0.976	0.958	0.870
ACCESS-ESM1-5_BARPA	[-]	333.	334.	332.	1.10	6.25	0.0842	0.855	0.799	0.995	0.749	0.839
ACCESS-ESM1-5_CCAM	[-]	332.	332.	332.	-0.445	5.52	0.0842	0.883	0.807	0.995	0.842	0.867
ACCESS-ESM1-5_CMIP6	[-]	330.	330.	332.	-2.50	5.25	0.0751	0.880	0.820	0.995	1.00	0.903
CESM2_BARPA	[-]	324.	325.	332.	-7.79	11.3	0.0842	0.699	0.728	0.995	0.754	0.781
CESM2_CCAM	[-]	327.	327.	332.	-5.36	7.80	0.0842	0.776	0.807	0.995	0.935	0.864
CMCC-ESM2_BARPA	[-]	327.	327.	332.	-5.04	8.91	0.0842	0.784	0.754	0.995	0.780	0.813
CMCC-ESM2_CCAM	[-]	333.	333.	332.	0.773	6.84	0.0842	0.854	0.777	0.995	0.990	0.879
CMCC-ESM2_CMIP6	[-]	337.	337.	332.	4.90	8.84	0.114	0.799	0.743	0.993	0.990	0.854
CNRM-ESM2-1_CCAM	[-]	326.	326.	332.	-6.54	8.70	0.0842	0.740	0.786	0.995	0.853	0.832
CNRM-ESM2-1_CMIP6	[-]	332.	332.	332.	0.0866	7.48	0.145	0.857	0.749	0.991	0.784	0.826
EC-Earth3_BARPA	[-]	334.	334.	332.	2.01	6.88	0.490	0.857	0.772	0.969	0.841	0.842
EC-Earth3_CCAM	[-]	341.	341.	332.	8.94	11.4	0.200	0.680	0.741	0.987	0.955	0.821
EC-Earth3_CMIP6	[-]	333.	333.	332.	0.475	10.1	0.438	0.914	0.649	0.972	0.991	0.835
ERA5_BARPA	[-]	329.	329.	332.	-3.00	8.71	0.0842	0.836	0.742	0.995	0.728	0.809
ERA5_CCAM	[-]	329.	329.	332.	-3.04	6.19	0.0842	0.848	0.815	0.995	0.909	0.876
MPI-ESM1-2-HR_BARPA	[-]	325.	325.	332.	-7.13	11.4	0.293	0.718	0.705	0.981	0.805	0.783
MPI-ESM1-2-HR_CMIP6	[-]	326.	326.	332.	-6.39	10.2	0.282	0.747	0.728	0.982	0.989	0.835
NorESM2-MM_BARPA	[-]	327.	327.	332.	-5.30	9.30	0.0842	0.775	0.751	0.995	0.782	0.811
NorESM2-MM_CCAM	[-]	321.	321.	332.	-11.8	13.9	0.917	0.585	0.737	0.936	0.896	0.778
NorESM2-MM_CMIP6	[-]	333.	333.	332.	0.735	7.85	0.871	0.912	0.711	0.944	0.970	0.850

	Download Data	Period Mean (original grids) [Watt m-2]	Model Period Mean (intersection) [Watt m-2]	Benchmark Period Mean (intersection) [Watt m-2]	Bias [Watt m-2]	RMSE [Watt m-2]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	394.
ACCESS-CM2_BARPA	[-]	392.	392.	394.	-2.63	8.01	0.550	0.851	0.722	0.955	0.996	0.849
ACCESS-CM2_CCAM	[-]	391.	391.	394.	-3.44	8.91	0.593	0.776	0.723	0.952	0.974	0.830
ACCESS-CM2_CMIP6	[-]	392.	392.	393.	-1.18	10.1	0.395	0.892	0.636	0.975	0.946	0.817
ACCESS-ESM1-5_BARPA	[-]	396.	397.	394.	2.35	7.40	0.550	0.840	0.750	0.955	0.996	0.858
ACCESS-ESM1-5_CCAM	[-]	402.	402.	394.	7.87	10.9	0.550	0.694	0.719	0.955	0.990	0.815
ACCESS-ESM1-5_CMIP6	[-]	408.	408.	402.	5.45	10.4	0.245	0.741	0.616	0.984	0.972	0.786
CESM2_BARPA	[-]	390.	390.	394.	-4.38	7.60	0.550	0.801	0.770	0.955	0.995	0.858
CESM2_CCAM	[-]	394.	394.	394.	-0.373	6.50	0.425	0.875	0.776	0.972	1.00	0.880
CMCC-ESM2_BARPA	[-]	389.	389.	394.	-5.48	7.40	0.482	0.765	0.814	0.969	0.995	0.871
CMCC-ESM2_CCAM	[-]	395.	395.	394.	0.744	5.69	0.550	0.847	0.837	0.955	0.971	0.889
CMCC-ESM2_CMIP6	[-]	405.	405.	397.	8.12	9.35	0.328	0.670	0.795	0.979	0.987	0.845
CNRM-ESM2-1_CCAM	[-]	374.	374.	394.	-20.5	21.8	0.696	0.386	0.721	0.945	0.969	0.748
CNRM-ESM2-1_CMIP6	[-]	389.	389.	401.	-11.7	14.6	0.00	0.548	0.637	1.00	0.864	0.737
EC-Earth3_BARPA	[-]	382.	383.	394.	-11.6	14.5	0.383	0.574	0.659	0.975	0.999	0.773
EC-Earth3_CCAM	[-]	390.	390.	394.	-4.19	8.71	0.633	0.772	0.737	0.949	0.985	0.836
EC-Earth3_CMIP6	[-]	384.	384.	395.	-10.9	13.6	0.634	0.626	0.694	0.948	0.803	0.753
ERA5_BARPA	[-]	389.	390.	394.	-4.72	6.15	0.550	0.783	0.876	0.955	0.998	0.897
ERA5_CCAM	[-]	395.	394.	394.	-0.00825	5.24	0.550	0.848	0.862	0.955	0.979	0.901
MPI-ESM1-2-HR_BARPA	[-]	383.	383.	394.	-11.1	13.6	0.550	0.593	0.693	0.955	0.993	0.785
MPI-ESM1-2-HR_CMIP6	[-]	387.	387.	396.	-8.99	12.6	0.332	0.646	0.650	0.979	0.972	0.779
NorESM2-MM_BARPA	[-]	392.	393.	394.	-1.70	6.53	0.466	0.880	0.772	0.965	0.987	0.875
NorESM2-MM_CCAM	[-]	394.	394.	394.	-0.819	5.81	0.550	0.839	0.827	0.955	0.987	0.887
NorESM2-MM_CMIP6	[-]	407.	407.	397.	9.90	10.8	0.00	0.610	0.808	1.00	0.996	0.844