Mean State

Mean State
All Models
Data Information

	Download Data	Period Mean (original grids) [%]	Model Period Mean (intersection) [%]	Benchmark Period Mean (intersection) [%]	Bias [%]	RMSE [%]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	10.3
ACCESS-CM2_BARPA	[-]	11.6	11.1	10.3	0.778	6.92	1.83	0.949	0.749	0.739	0.972	0.832
ACCESS-CM2_CCAM	[-]	13.4	12.8	10.3	2.50	7.54	1.83	0.889	0.747	0.737	0.983	0.821
ACCESS-CM2_CMIP6	[-]	11.6	11.6	9.12	2.52	7.42	1.83	0.855	0.678	0.732	0.862	0.761
ACCESS-ESM1-5_BARPA	[-]	11.4	10.8	10.3	0.491	6.23	1.41	0.952	0.771	0.817	0.983	0.859
ACCESS-ESM1-5_CCAM	[-]	12.9	12.3	10.3	1.95	7.25	1.66	0.905	0.752	0.770	0.986	0.833
ACCESS-ESM1-5_CMIP6	[-]	10.9	10.9	9.02	1.90	7.37	1.37	0.884	0.671	0.826	0.917	0.794
CESM2_BARPA	[-]	10.9	10.3	10.3	-0.0568	6.06	1.56	0.959	0.773	0.795	0.991	0.858
CESM2_CCAM	[-]	10.7	9.86	10.3	-0.474	7.15	1.94	0.953	0.737	0.714	0.991	0.826
CESM2_CMIP6	[-]	10.8	10.8	9.24	1.55	6.38	1.22	0.910	0.721	0.860	0.974	0.837
CMCC-ESM2_BARPA	[-]	11.1	10.4	10.3	0.0536	7.07	2.26	0.958	0.740	0.653	0.983	0.815
CMCC-ESM2_CCAM	[-]	14.3	13.8	10.3	3.46	8.37	1.94	0.857	0.726	0.712	0.914	0.787
CMCC-ESM2_CMIP6	[-]	10.9	10.9	9.24	1.62	6.08	1.70	0.897	0.743	0.754	0.973	0.822
CNRM-ESM2-1_CCAM	[-]	14.0	13.4	10.3	3.03	7.48	1.57	0.870	0.751	0.788	0.989	0.830
CNRM-ESM2-1_CMIP6	[-]	9.36	9.36	9.04	0.319	5.70	1.37	0.939	0.732	0.824	0.968	0.839
EC-Earth3_BARPA	[-]	10.7	9.90	10.3	-0.434	6.01	1.43	0.952	0.775	0.815	0.994	0.862
EC-Earth3_CCAM	[-]	13.1	12.4	10.3	2.03	7.04	1.54	0.902	0.749	0.789	0.990	0.836
EC-Earth3_CMIP6	[-]	9.28	9.28	9.41	-0.131	5.96	1.22	0.936	0.751	0.844	0.973	0.851
ERA5_BARPA	[-]	11.7	11.2	10.3	0.830	6.07	1.69	0.952	0.775	0.757	0.992	0.850
ERA5_CCAM	[-]	13.5	13.0	10.3	2.62	6.91	1.61	0.888	0.766	0.771	0.989	0.836
MPI-ESM1-2-HR_BARPA	[-]	10.6	9.79	10.3	-0.546	6.47	1.49	0.956	0.760	0.794	0.991	0.852
MPI-ESM1-2-HR_CMIP6	[-]	8.19	8.19	9.24	-1.05	8.96	2.94	0.929	0.650	0.524	0.977	0.746
NorESM2-MM_BARPA	[-]	12.5	12.0	10.3	1.62	7.88	2.40	0.925	0.725	0.618	0.961	0.791
NorESM2-MM_CCAM	[-]	13.6	13.2	10.3	2.83	7.73	1.62	0.879	0.746	0.771	0.898	0.808
NorESM2-MM_CMIP6	[-]	11.7	11.7	9.24	2.49	6.46	1.37	0.872	0.736	0.811	0.922	0.815

	Download Data	Period Mean (original grids) [%]	Model Period Mean (intersection) [%]	Benchmark Period Mean (intersection) [%]	Bias [%]	RMSE [%]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	12.5
ACCESS-CM2_BARPA	[-]	13.0	12.8	12.5	0.307	5.84	1.65	0.976	0.787	0.767	0.996	0.871
ACCESS-CM2_CCAM	[-]	14.8	14.7	12.5	2.26	6.43	1.60	0.911	0.782	0.788	0.941	0.847
ACCESS-CM2_CMIP6	[-]	14.1	14.1	12.0	2.06	5.88	1.88	0.896	0.747	0.684	0.669	0.748
ACCESS-ESM1-5_BARPA	[-]	13.6	13.4	12.5	0.960	6.03	1.86	0.957	0.784	0.736	0.999	0.860
ACCESS-ESM1-5_CCAM	[-]	15.2	15.1	12.5	2.64	6.89	1.79	0.897	0.772	0.751	0.997	0.845
ACCESS-ESM1-5_CMIP6	[-]	13.3	13.3	12.0	1.28	5.89	0.923	0.925	0.740	0.877	0.545	0.768
CESM2_BARPA	[-]	13.0	12.7	12.5	0.284	5.77	2.01	0.975	0.789	0.702	0.955	0.848
CESM2_CCAM	[-]	12.7	12.2	12.5	-0.290	5.64	1.41	0.964	0.796	0.811	0.991	0.880
CESM2_CMIP6	[-]	13.3	13.3	12.1	1.23	6.52	1.51	0.939	0.727	0.835	0.934	0.844
CMCC-ESM2_BARPA	[-]	12.7	12.4	12.5	-0.0554	5.75	1.61	0.980	0.790	0.776	0.985	0.872
CMCC-ESM2_CCAM	[-]	15.2	15.1	12.5	2.62	7.60	1.79	0.898	0.746	0.738	0.841	0.799
CMCC-ESM2_CMIP6	[-]	13.6	13.6	12.1	1.46	5.49	2.18	0.930	0.769	0.645	0.705	0.763
CNRM-ESM2-1_CCAM	[-]	14.4	14.2	12.5	1.74	6.20	1.54	0.931	0.784	0.796	0.941	0.854
CNRM-ESM2-1_CMIP6	[-]	10.9	10.9	11.9	-1.04	5.72	2.09	0.946	0.744	0.706	0.984	0.834
EC-Earth3_BARPA	[-]	11.9	11.4	12.5	-1.10	5.89	1.66	0.951	0.791	0.761	0.998	0.866
EC-Earth3_CCAM	[-]	14.0	13.6	12.5	1.15	7.08	1.96	0.950	0.750	0.724	0.950	0.833
EC-Earth3_CMIP6	[-]	9.52	9.52	12.1	-2.61	6.39	1.38	0.884	0.769	0.815	0.997	0.855
ERA5_BARPA	[-]	13.7	13.5	12.5	1.02	6.09	2.44	0.956	0.782	0.625	0.991	0.832
ERA5_CCAM	[-]	15.8	15.7	12.5	3.23	6.56	1.91	0.875	0.794	0.726	0.890	0.818
MPI-ESM1-2-HR_BARPA	[-]	11.3	10.8	12.5	-1.67	6.17	2.06	0.933	0.785	0.686	0.966	0.836
MPI-ESM1-2-HR_CMIP6	[-]	9.57	9.57	12.2	-2.60	6.82	2.72	0.880	0.742	0.564	0.982	0.786
NorESM2-MM_BARPA	[-]	13.8	13.6	12.5	1.16	6.86	2.47	0.952	0.758	0.604	0.995	0.820
NorESM2-MM_CCAM	[-]	14.8	14.6	12.5	2.18	6.66	1.43	0.914	0.773	0.808	0.804	0.819
NorESM2-MM_CMIP6	[-]	14.2	14.2	12.1	2.06	6.15	2.51	0.902	0.751	0.591	0.921	0.787

	Download Data	Period Mean (original grids) [%]	Model Period Mean (intersection) [%]	Benchmark Period Mean (intersection) [%]	Bias [%]	RMSE [%]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	14.0
ACCESS-CM2_BARPA	[-]	13.9	13.6	14.0	-0.382	5.46	1.23	0.965	0.808	0.847	0.893	0.872
ACCESS-CM2_CCAM	[-]	15.5	15.3	14.0	1.35	6.12	1.23	0.933	0.795	0.854	0.973	0.874
ACCESS-CM2_CMIP6	[-]	13.8	13.8	14.0	-0.208	5.76	1.38	0.947	0.755	0.789	0.944	0.845
ACCESS-ESM1-5_BARPA	[-]	14.5	14.2	14.0	0.239	6.22	1.31	0.961	0.785	0.839	0.850	0.855
ACCESS-ESM1-5_CCAM	[-]	16.7	16.6	14.0	2.55	6.75	1.50	0.899	0.785	0.808	0.898	0.844
ACCESS-ESM1-5_CMIP6	[-]	13.5	13.5	13.2	0.271	6.21	0.826	0.952	0.730	0.921	0.968	0.860
CESM2_BARPA	[-]	13.0	12.7	14.0	-1.29	6.19	1.42	0.943	0.790	0.825	0.902	0.856
CESM2_CCAM	[-]	14.1	13.7	14.0	-0.337	5.81	1.14	0.951	0.798	0.865	0.877	0.875
CESM2_CMIP6	[-]	13.7	13.7	13.4	0.314	6.04	1.23	0.961	0.749	0.867	0.994	0.880
CMCC-ESM2_BARPA	[-]	13.7	13.3	14.0	-0.743	6.59	1.48	0.958	0.773	0.818	0.978	0.868
CMCC-ESM2_CCAM	[-]	15.7	15.5	14.0	1.48	7.25	1.56	0.928	0.758	0.799	0.993	0.863
CMCC-ESM2_CMIP6	[-]	13.1	13.1	13.4	-0.311	4.95	0.935	0.951	0.794	0.894	0.895	0.877
CNRM-ESM2-1_CCAM	[-]	15.8	15.5	14.0	1.52	6.76	1.50	0.927	0.776	0.814	0.754	0.834
CNRM-ESM2-1_CMIP6	[-]	11.3	11.3	13.4	-2.15	6.28	0.934	0.901	0.749	0.907	0.971	0.851
EC-Earth3_BARPA	[-]	13.3	12.7	14.0	-1.28	6.48	1.11	0.950	0.778	0.867	0.993	0.884
EC-Earth3_CCAM	[-]	15.4	15.0	14.0	1.00	7.04	1.88	0.940	0.762	0.728	0.926	0.825
EC-Earth3_CMIP6	[-]	11.2	11.2	13.6	-2.35	5.48	1.37	0.899	0.807	0.833	0.992	0.869
ERA5_BARPA	[-]	14.6	14.3	14.0	0.339	6.03	1.94	0.968	0.790	0.719	0.973	0.860
ERA5_CCAM	[-]	17.1	16.9	14.0	2.86	6.38	1.53	0.891	0.801	0.794	0.835	0.840
MPI-ESM1-2-HR_BARPA	[-]	11.9	11.3	14.0	-2.71	6.34	0.988	0.899	0.800	0.878	0.951	0.862
MPI-ESM1-2-HR_CMIP6	[-]	9.75	9.75	13.7	-3.94	8.34	3.57	0.834	0.712	0.387	0.992	0.735
NorESM2-MM_BARPA	[-]	14.9	14.6	14.0	0.608	7.02	1.50	0.965	0.758	0.796	0.970	0.864
NorESM2-MM_CCAM	[-]	15.4	15.1	14.0	1.14	6.62	1.34	0.939	0.777	0.836	0.831	0.847
NorESM2-MM_CMIP6	[-]	14.1	14.1	13.4	0.654	5.52	1.21	0.957	0.769	0.868	0.985	0.881

	Download Data	Period Mean (original grids) [%]	Model Period Mean (intersection) [%]	Benchmark Period Mean (intersection) [%]	Bias [%]	RMSE [%]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	10.9
ACCESS-CM2_BARPA	[-]	11.7	11.0	10.9	0.0649	6.99	1.48	0.953	0.735	0.818	0.919	0.852
ACCESS-CM2_CCAM	[-]	14.3	13.5	10.9	2.53	7.93	1.23	0.879	0.729	0.850	0.766	0.806
ACCESS-CM2_CMIP6	[-]	11.4	11.4	9.09	2.34	7.35	1.09	0.863	0.657	0.870	0.909	0.811
ACCESS-ESM1-5_BARPA	[-]	11.8	11.0	10.9	0.0359	6.20	1.14	0.950	0.762	0.863	0.942	0.872
ACCESS-ESM1-5_CCAM	[-]	14.3	13.5	10.9	2.55	7.77	1.19	0.880	0.736	0.850	0.883	0.830
ACCESS-ESM1-5_CMIP6	[-]	10.7	10.7	9.09	1.61	6.34	0.773	0.896	0.688	0.929	0.901	0.841
CESM2_BARPA	[-]	11.5	10.5	10.9	-0.397	5.97	1.27	0.948	0.766	0.840	0.945	0.867
CESM2_CCAM	[-]	11.6	10.5	10.9	-0.404	6.49	1.28	0.954	0.741	0.843	0.967	0.869
CESM2_CMIP6	[-]	9.92	9.92	9.42	0.498	5.24	0.787	0.946	0.737	0.933	0.945	0.887
CMCC-ESM2_BARPA	[-]	11.2	10.2	10.9	-0.769	6.17	1.43	0.942	0.757	0.807	0.909	0.852
CMCC-ESM2_CCAM	[-]	14.7	13.6	10.9	2.71	8.16	1.12	0.873	0.710	0.855	0.798	0.809
CMCC-ESM2_CMIP6	[-]	8.91	8.91	9.42	-0.513	4.13	0.468	0.953	0.794	0.968	0.732	0.854
CNRM-ESM2-1_CCAM	[-]	16.2	15.2	10.9	4.26	8.72	1.38	0.817	0.710	0.820	0.738	0.781
CNRM-ESM2-1_CMIP6	[-]	9.84	9.84	9.15	0.686	5.93	1.33	0.933	0.708	0.832	0.903	0.840
EC-Earth3_BARPA	[-]	12.5	11.4	10.9	0.507	5.91	1.18	0.945	0.765	0.854	0.913	0.871
EC-Earth3_CCAM	[-]	15.1	14.0	10.9	3.11	7.77	1.06	0.858	0.718	0.863	0.717	0.804
EC-Earth3_CMIP6	[-]	10.2	10.2	9.68	0.472	4.95	0.822	0.945	0.777	0.899	0.971	0.892
ERA5_BARPA	[-]	12.2	11.3	10.9	0.380	6.08	1.30	0.953	0.766	0.831	0.983	0.876
ERA5_CCAM	[-]	15.0	14.0	10.9	3.12	7.87	1.10	0.861	0.726	0.860	0.883	0.822
MPI-ESM1-2-HR_BARPA	[-]	11.8	10.6	10.9	-0.272	6.36	1.19	0.946	0.751	0.842	0.789	0.855
MPI-ESM1-2-HR_CMIP6	[-]	8.03	8.03	9.49	-1.46	9.93	2.94	0.914	0.620	0.533	0.917	0.740
NorESM2-MM_BARPA	[-]	13.2	12.5	10.9	1.54	7.93	1.63	0.916	0.722	0.750	0.890	0.822
NorESM2-MM_CCAM	[-]	14.1	13.5	10.9	2.55	7.48	1.08	0.883	0.745	0.858	0.829	0.833
NorESM2-MM_CMIP6	[-]	10.6	10.6	9.42	1.15	4.54	0.455	0.931	0.780	0.970	0.985	0.895

	Download Data	Period Mean (original grids) [%]	Model Period Mean (intersection) [%]	Benchmark Period Mean (intersection) [%]	Bias [%]	RMSE [%]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	12.9
ACCESS-CM2_BARPA	[-]	13.6	13.5	12.9	0.542	7.07	2.27	0.967	0.751	0.650	0.998	0.831
ACCESS-CM2_CCAM	[-]	13.8	13.6	12.9	0.736	6.50	1.81	0.958	0.770	0.748	0.984	0.854
ACCESS-CM2_CMIP6	[-]	14.0	14.0	12.7	1.34	7.07	2.15	0.929	0.702	0.645	0.972	0.800
ACCESS-ESM1-5_BARPA	[-]	13.0	12.7	12.9	-0.198	5.65	1.62	0.973	0.796	0.790	0.999	0.879
ACCESS-ESM1-5_CCAM	[-]	13.7	13.4	12.9	0.510	6.52	1.79	0.964	0.769	0.757	0.999	0.860
ACCESS-ESM1-5_CMIP6	[-]	13.6	13.6	12.8	0.821	7.77	1.35	0.936	0.677	0.873	0.977	0.845
CESM2_BARPA	[-]	13.2	13.0	12.9	0.0808	5.59	1.25	0.975	0.797	0.849	0.999	0.893
CESM2_CCAM	[-]	11.2	10.7	12.9	-2.20	6.75	1.52	0.914	0.772	0.794	0.996	0.858
CESM2_CMIP6	[-]	14.3	14.3	12.8	1.56	6.96	1.35	0.926	0.721	0.857	0.996	0.858
CMCC-ESM2_BARPA	[-]	13.1	12.8	12.9	-0.112	6.78	2.28	0.971	0.759	0.650	0.995	0.834
CMCC-ESM2_CCAM	[-]	15.1	15.0	12.9	2.13	6.35	1.72	0.915	0.786	0.765	0.875	0.830
CMCC-ESM2_CMIP6	[-]	14.5	14.5	12.8	1.77	5.97	1.66	0.918	0.763	0.776	0.827	0.814
CNRM-ESM2-1_CCAM	[-]	13.2	13.0	12.9	0.0964	6.03	1.52	0.969	0.783	0.811	0.962	0.870
CNRM-ESM2-1_CMIP6	[-]	12.3	12.3	12.7	-0.372	5.53	1.01	0.971	0.755	0.899	0.999	0.889
EC-Earth3_BARPA	[-]	11.7	11.3	12.9	-1.65	5.62	1.38	0.935	0.805	0.829	0.998	0.882
EC-Earth3_CCAM	[-]	12.7	12.4	12.9	-0.465	5.68	1.40	0.971	0.795	0.825	0.993	0.885
EC-Earth3_CMIP6	[-]	10.8	10.8	12.8	-2.02	7.30	1.19	0.907	0.728	0.851	0.932	0.841
ERA5_BARPA	[-]	13.5	13.4	12.9	0.445	5.06	1.13	0.970	0.815	0.855	0.998	0.899
ERA5_CCAM	[-]	14.2	14.0	12.9	1.08	5.08	1.40	0.951	0.820	0.806	0.969	0.879
MPI-ESM1-2-HR_BARPA	[-]	12.5	12.2	12.9	-0.693	6.45	1.84	0.964	0.771	0.720	0.998	0.853
MPI-ESM1-2-HR_CMIP6	[-]	11.0	11.0	12.6	-1.52	6.69	1.94	0.925	0.734	0.730	0.984	0.831
NorESM2-MM_BARPA	[-]	13.9	13.7	12.9	0.791	6.60	2.26	0.961	0.766	0.651	0.983	0.832
NorESM2-MM_CCAM	[-]	14.4	14.2	12.9	1.32	6.03	1.62	0.945	0.788	0.778	0.991	0.866
NorESM2-MM_CMIP6	[-]	14.6	14.6	12.8	1.87	6.29	1.81	0.913	0.750	0.739	0.860	0.808

	Download Data	Period Mean (original grids) [%]	Model Period Mean (intersection) [%]	Benchmark Period Mean (intersection) [%]	Bias [%]	RMSE [%]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	9.03
ACCESS-CM2_BARPA	[-]	10.8	10.3	9.03	1.25	7.11	1.98	0.942	0.744	0.708	0.956	0.829
ACCESS-CM2_CCAM	[-]	12.8	12.2	9.03	3.20	7.92	2.09	0.868	0.742	0.688	0.779	0.796
ACCESS-CM2_CMIP6	[-]	10.9	10.9	7.59	3.34	7.74	2.09	0.821	0.673	0.694	0.988	0.787
ACCESS-ESM1-5_BARPA	[-]	10.5	9.94	9.03	0.906	6.35	1.43	0.949	0.769	0.811	0.993	0.874
ACCESS-ESM1-5_CCAM	[-]	12.0	11.3	9.03	2.25	7.35	1.79	0.899	0.750	0.745	0.735	0.816
ACCESS-ESM1-5_CMIP6	[-]	10.2	10.2	7.62	2.56	7.75	1.64	0.860	0.660	0.776	0.988	0.799
CESM2_BARPA	[-]	9.83	9.18	9.03	0.154	6.20	1.64	0.961	0.767	0.781	0.989	0.867
CESM2_CCAM	[-]	9.56	8.68	9.03	-0.345	7.55	2.26	0.958	0.724	0.654	0.994	0.812
CESM2_CMIP6	[-]	9.99	9.99	7.82	2.17	6.62	1.21	0.886	0.716	0.864	0.993	0.853
CMCC-ESM2_BARPA	[-]	10.2	9.49	9.03	0.457	7.65	2.67	0.961	0.722	0.575	0.962	0.798
CMCC-ESM2_CCAM	[-]	13.9	13.4	9.03	4.38	9.17	2.30	0.825	0.712	0.645	0.974	0.788
CMCC-ESM2_CMIP6	[-]	10.4	10.4	7.82	2.62	6.85	2.17	0.866	0.718	0.670	0.994	0.805
CNRM-ESM2-1_CCAM	[-]	13.3	12.7	9.03	3.63	7.70	1.66	0.853	0.750	0.770	0.699	0.793
CNRM-ESM2-1_CMIP6	[-]	8.10	8.10	7.55	0.547	5.46	1.32	0.944	0.738	0.831	0.991	0.864
EC-Earth3_BARPA	[-]	9.43	8.58	9.03	-0.446	6.09	1.53	0.956	0.773	0.799	0.917	0.860
EC-Earth3_CCAM	[-]	12.3	11.5	9.03	2.43	7.11	1.65	0.893	0.749	0.771	0.685	0.802
EC-Earth3_CMIP6	[-]	8.28	8.28	7.98	0.298	5.87	1.27	0.945	0.747	0.836	0.947	0.864
ERA5_BARPA	[-]	10.7	10.1	9.03	1.07	6.33	1.86	0.948	0.767	0.726	0.994	0.853
ERA5_CCAM	[-]	12.6	12.0	9.03	2.96	7.13	1.80	0.877	0.762	0.736	0.694	0.806
MPI-ESM1-2-HR_BARPA	[-]	9.48	8.72	9.03	-0.314	6.63	1.54	0.965	0.753	0.788	0.990	0.862
MPI-ESM1-2-HR_CMIP6	[-]	7.31	7.31	7.84	-0.532	9.26	3.18	0.946	0.634	0.475	0.988	0.757
NorESM2-MM_BARPA	[-]	11.5	11.0	9.03	2.02	8.41	2.82	0.914	0.709	0.539	0.995	0.785
NorESM2-MM_CCAM	[-]	13.1	12.7	9.03	3.63	8.40	1.84	0.852	0.733	0.732	0.986	0.821
NorESM2-MM_CMIP6	[-]	11.2	11.2	7.82	3.35	7.19	1.48	0.833	0.717	0.789	0.989	0.815

	Download Data	Period Mean (original grids) [%]	Model Period Mean (intersection) [%]	Benchmark Period Mean (intersection) [%]	Bias [%]	RMSE [%]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	15.7
ACCESS-CM2_BARPA	[-]	16.3	16.2	15.7	0.519	6.32	2.41	0.961	0.754	0.622	0.923	0.800
ACCESS-CM2_CCAM	[-]	16.3	16.3	15.7	0.551	6.46	2.15	0.951	0.751	0.681	0.980	0.829
ACCESS-CM2_CMIP6	[-]	15.8	15.8	15.8	0.0681	6.92	1.99	0.937	0.665	0.693	0.449	0.650
ACCESS-ESM1-5_BARPA	[-]	15.6	15.5	15.7	-0.229	5.88	2.01	0.960	0.768	0.716	0.850	0.813
ACCESS-ESM1-5_CCAM	[-]	16.5	16.4	15.7	0.706	6.54	1.86	0.949	0.748	0.746	0.964	0.827
ACCESS-ESM1-5_CMIP6	[-]	16.0	16.0	15.6	0.421	8.88	1.01	0.895	0.612	0.919	0.259	0.767
CESM2_BARPA	[-]	15.6	15.5	15.7	-0.239	5.67	1.91	0.964	0.776	0.729	0.867	0.816
CESM2_CCAM	[-]	14.9	14.8	15.7	-0.933	6.99	2.30	0.945	0.734	0.640	0.835	0.784
CESM2_CMIP6	[-]	16.9	16.9	15.7	1.19	7.65	1.44	0.924	0.665	0.806	0.752	0.807
CMCC-ESM2_BARPA	[-]	16.0	15.9	15.7	0.213	6.21	2.11	0.962	0.758	0.682	0.929	0.807
CMCC-ESM2_CCAM	[-]	17.8	17.8	15.7	2.04	6.03	2.02	0.908	0.775	0.703	0.996	0.833
CMCC-ESM2_CMIP6	[-]	17.2	17.2	15.7	1.50	6.41	2.04	0.918	0.710	0.687	0.853	0.749
CNRM-ESM2-1_CCAM	[-]	15.8	15.8	15.7	0.0476	6.18	1.84	0.959	0.760	0.750	0.998	0.851
CNRM-ESM2-1_CMIP6	[-]	15.2	15.2	15.7	-0.558	5.56	1.99	0.941	0.716	0.653	0.723	0.720
EC-Earth3_BARPA	[-]	15.5	15.3	15.7	-0.399	5.55	1.73	0.953	0.782	0.762	0.896	0.844
EC-Earth3_CCAM	[-]	16.3	16.2	15.7	0.515	5.81	1.90	0.941	0.777	0.725	0.939	0.832
EC-Earth3_CMIP6	[-]	15.0	15.0	15.7	-0.626	7.47	1.79	0.931	0.688	0.759	0.454	0.726
ERA5_BARPA	[-]	16.7	16.7	15.7	0.937	5.03	1.52	0.954	0.803	0.784	0.993	0.868
ERA5_CCAM	[-]	17.0	17.0	15.7	1.22	4.89	1.73	0.940	0.809	0.757	0.994	0.869
MPI-ESM1-2-HR_BARPA	[-]	15.4	15.3	15.7	-0.456	6.02	2.10	0.954	0.766	0.676	0.766	0.795
MPI-ESM1-2-HR_CMIP6	[-]	15.5	15.5	15.7	-0.207	6.37	2.57	0.900	0.717	0.568	0.308	0.643
NorESM2-MM_BARPA	[-]	16.4	16.2	15.7	0.511	5.97	2.20	0.961	0.766	0.671	0.851	0.789
NorESM2-MM_CCAM	[-]	16.5	16.5	15.7	0.788	6.00	1.82	0.954	0.767	0.742	0.966	0.839
NorESM2-MM_CMIP6	[-]	17.2	17.2	15.7	1.52	6.25	2.20	0.913	0.719	0.671	0.942	0.797

	Download Data	Period Mean (original grids) [%]	Model Period Mean (intersection) [%]	Benchmark Period Mean (intersection) [%]	Bias [%]	RMSE [%]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	12.0
ACCESS-CM2_BARPA	[-]	12.9	12.6	12.0	0.579	7.23	1.55	0.967	0.749	0.803	0.999	0.860
ACCESS-CM2_CCAM	[-]	12.6	12.1	12.0	0.125	6.41	1.82	0.970	0.775	0.727	0.932	0.844
ACCESS-CM2_CMIP6	[-]	12.4	12.4	11.5	0.877	7.57	1.88	0.934	0.678	0.723	0.986	0.810
ACCESS-ESM1-5_BARPA	[-]	11.7	11.3	12.0	-0.754	6.44	1.53	0.966	0.775	0.814	0.998	0.871
ACCESS-ESM1-5_CCAM	[-]	11.6	10.9	12.0	-1.07	6.66	1.83	0.954	0.770	0.750	0.980	0.854
ACCESS-ESM1-5_CMIP6	[-]	10.9	10.9	11.4	-0.518	8.18	1.62	0.949	0.654	0.778	0.979	0.822
CESM2_BARPA	[-]	12.6	12.1	12.0	0.119	6.13	1.74	0.971	0.782	0.759	0.996	0.873
CESM2_CCAM	[-]	12.0	11.4	12.0	-0.664	7.96	2.33	0.954	0.730	0.638	0.863	0.786
CESM2_CMIP6	[-]	12.0	12.0	11.5	0.459	6.72	2.33	0.965	0.720	0.628	0.991	0.821
CMCC-ESM2_BARPA	[-]	12.5	12.0	12.0	-0.0270	6.95	2.24	0.972	0.758	0.654	0.964	0.822
CMCC-ESM2_CCAM	[-]	13.7	13.4	12.0	1.39	6.41	1.75	0.939	0.780	0.752	0.970	0.831
CMCC-ESM2_CMIP6	[-]	12.0	12.0	11.5	0.405	5.96	1.18	0.951	0.749	0.866	0.945	0.855
CNRM-ESM2-1_CCAM	[-]	12.8	12.5	12.0	0.489	5.74	1.53	0.960	0.797	0.791	0.876	0.846
CNRM-ESM2-1_CMIP6	[-]	11.8	11.8	11.0	0.756	7.10	1.92	0.912	0.702	0.721	0.991	0.828
EC-Earth3_BARPA	[-]	12.0	11.4	12.0	-0.615	6.32	1.40	0.954	0.780	0.833	0.997	0.878
EC-Earth3_CCAM	[-]	12.2	11.8	12.0	-0.221	6.34	1.56	0.965	0.777	0.788	0.920	0.859
EC-Earth3_CMIP6	[-]	11.0	11.0	11.4	-0.377	8.48	1.63	0.927	0.681	0.782	0.898	0.813
ERA5_BARPA	[-]	13.2	12.9	12.0	0.925	5.50	1.39	0.959	0.805	0.802	0.999	0.886
ERA5_CCAM	[-]	12.4	12.1	12.0	0.0573	5.77	1.56	0.971	0.795	0.784	0.985	0.878
MPI-ESM1-2-HR_BARPA	[-]	11.8	11.3	12.0	-0.709	6.19	1.53	0.965	0.783	0.791	0.992	0.871
MPI-ESM1-2-HR_CMIP6	[-]	10.3	10.3	11.3	-0.984	8.66	2.17	0.950	0.666	0.674	0.988	0.803
NorESM2-MM_BARPA	[-]	13.5	13.1	12.0	1.10	7.00	1.94	0.950	0.758	0.727	0.965	0.830
NorESM2-MM_CCAM	[-]	12.8	12.4	12.0	0.346	6.74	1.67	0.964	0.765	0.776	0.971	0.849
NorESM2-MM_CMIP6	[-]	12.8	12.8	11.5	1.21	7.05	1.80	0.942	0.712	0.762	0.913	0.810

	Download Data	Period Mean (original grids) [%]	Model Period Mean (intersection) [%]	Benchmark Period Mean (intersection) [%]	Bias [%]	RMSE [%]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	11.2
ACCESS-CM2_BARPA	[-]	10.8	9.83	11.2	-1.39	5.51	1.06	0.917	0.765	0.900	0.783	0.833
ACCESS-CM2_CCAM	[-]	12.2	11.0	11.2	-0.180	5.97	0.994	0.940	0.749	0.898	0.957	0.871
ACCESS-CM2_CMIP6	[-]	9.38	9.38	9.78	-0.400	7.16	0.591	0.942	0.647	0.962	0.703	0.795
ACCESS-ESM1-5_BARPA	[-]	10.9	10.1	11.2	-1.15	5.21	0.790	0.913	0.778	0.940	0.668	0.820
ACCESS-ESM1-5_CCAM	[-]	12.1	11.3	11.2	0.123	6.20	0.953	0.947	0.743	0.898	0.991	0.878
ACCESS-ESM1-5_CMIP6	[-]	8.82	8.82	8.71	0.111	5.92	0.987	0.956	0.667	0.909	0.998	0.859
CESM2_BARPA	[-]	11.0	9.64	11.2	-1.58	4.70	0.874	0.914	0.801	0.930	0.875	0.871
CESM2_CCAM	[-]	12.9	12.1	11.2	0.856	6.13	1.04	0.927	0.750	0.890	0.982	0.872
CESM2_CMIP6	[-]	9.18	9.18	9.71	-0.540	5.38	1.43	0.908	0.725	0.818	0.758	0.794
CMCC-ESM2_BARPA	[-]	10.9	9.55	11.2	-1.68	3.93	0.627	0.912	0.841	0.946	0.874	0.887
CMCC-ESM2_CCAM	[-]	13.5	12.5	11.2	1.30	5.73	0.938	0.921	0.769	0.903	0.989	0.881
CMCC-ESM2_CMIP6	[-]	8.13	8.13	9.71	-1.59	3.90	0.765	0.909	0.810	0.951	0.600	0.817
CNRM-ESM2-1_CCAM	[-]	13.5	12.3	11.2	1.11	5.57	0.881	0.917	0.766	0.930	0.935	0.873
CNRM-ESM2-1_CMIP6	[-]	9.68	9.68	8.97	0.710	5.43	0.983	0.903	0.724	0.937	0.986	0.869
EC-Earth3_BARPA	[-]	12.0	10.6	11.2	-0.593	4.75	0.864	0.952	0.794	0.914	0.996	0.901
EC-Earth3_CCAM	[-]	13.6	12.4	11.2	1.21	6.12	0.863	0.917	0.750	0.911	0.975	0.873
EC-Earth3_CMIP6	[-]	8.80	8.80	10.1	-1.30	4.32	0.807	0.927	0.813	0.933	0.994	0.905
ERA5_BARPA	[-]	11.7	10.7	11.2	-0.530	4.19	0.979	0.943	0.823	0.898	0.824	0.866
ERA5_CCAM	[-]	13.2	12.3	11.2	1.06	5.19	0.951	0.932	0.790	0.906	0.859	0.863
MPI-ESM1-2-HR_BARPA	[-]	11.1	9.59	11.2	-1.63	5.06	0.690	0.915	0.791	0.940	0.944	0.886
MPI-ESM1-2-HR_CMIP6	[-]	7.00	7.00	9.78	-2.78	8.16	0.460	0.843	0.693	0.970	0.976	0.851
NorESM2-MM_BARPA	[-]	11.7	10.9	11.2	-0.311	4.70	0.753	0.944	0.802	0.943	0.900	0.887
NorESM2-MM_CCAM	[-]	13.6	12.9	11.2	1.67	5.32	0.847	0.910	0.798	0.906	0.944	0.879
NorESM2-MM_CMIP6	[-]	9.99	9.99	9.71	0.277	3.36	1.44	0.932	0.811	0.848	0.915	0.869

	Download Data	Period Mean (original grids) [%]	Model Period Mean (intersection) [%]	Benchmark Period Mean (intersection) [%]	Model Period Mean (complement) [%]	Benchmark Period Mean (complement) [%]	Bias [%]	RMSE [%]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	15.1
ACCESS-CM2_BARPA	[-]	14.1	13.9	15.0		16.3	-1.15	7.04	1.82	0.907	0.729	0.738	0.894	0.800
ACCESS-CM2_CCAM	[-]	15.3	15.1	15.0		16.3	0.0928	7.44	1.94	0.901	0.719	0.714	0.902	0.791
ACCESS-CM2_CMIP6	[-]	14.5	14.4	14.7	16.7		-0.270	6.94	1.84	0.904	0.680	0.737	0.878	0.776
ACCESS-ESM1-5_BARPA	[-]	13.5	13.3	15.0		16.3	-1.79	6.97	1.92	0.890	0.737	0.716	0.866	0.789
ACCESS-ESM1-5_CCAM	[-]	14.9	14.6	15.0		16.3	-0.369	7.18	1.93	0.901	0.729	0.717	0.904	0.796
ACCESS-ESM1-5_CMIP6	[-]	13.8	13.8	14.6	14.9		-0.853	7.62	1.86	0.881	0.661	0.728	0.917	0.770
CESM2_BARPA	[-]	13.6	13.4	15.0		16.3	-1.68	6.97	1.94	0.889	0.738	0.713	0.859	0.787
CESM2_CCAM	[-]	15.4	15.1	15.0		16.3	0.137	7.17	1.97	0.913	0.723	0.706	0.917	0.797
CESM2_CMIP6	[-]	14.3	14.2	14.7	15.9		-0.540	6.42	1.59	0.903	0.719	0.778	0.918	0.807
CMCC-ESM2_BARPA	[-]	13.7	13.5	15.0		16.3	-1.54	7.20	2.11	0.891	0.734	0.681	0.845	0.777
CMCC-ESM2_CCAM	[-]	15.9	15.7	15.0		16.3	0.701	7.27	2.03	0.898	0.724	0.695	0.910	0.790
CMCC-ESM2_CMIP6	[-]	13.5	13.5	14.7	14.6		-1.24	6.47	1.81	0.888	0.724	0.737	0.909	0.796
CNRM-ESM2-1_CCAM	[-]	15.4	15.2	15.0		16.3	0.153	7.69	1.97	0.906	0.707	0.706	0.899	0.785
CNRM-ESM2-1_CMIP6	[-]	13.4	13.4	14.7	13.5		-1.34	6.93	1.89	0.895	0.693	0.722	0.864	0.773
EC-Earth3_BARPA	[-]	13.8	13.6	15.0		16.3	-1.46	6.83	1.78	0.901	0.742	0.745	0.881	0.802
EC-Earth3_CCAM	[-]	15.0	14.8	15.0		16.3	-0.232	6.99	1.84	0.907	0.731	0.728	0.918	0.803
EC-Earth3_CMIP6	[-]	13.2	13.1	14.8	14.5		-1.64	6.30	1.46	0.896	0.741	0.802	0.909	0.818
ERA5_BARPA	[-]	14.2	14.0	15.0		16.3	-1.05	5.56	1.61	0.916	0.783	0.768	0.915	0.833
ERA5_CCAM	[-]	15.2	15.0	15.0		16.3	-0.0202	5.75	1.61	0.923	0.775	0.765	0.934	0.834
MPI-ESM1-2-HR_BARPA	[-]	13.3	13.0	15.0		16.3	-2.01	7.01	1.91	0.893	0.736	0.719	0.901	0.797
MPI-ESM1-2-HR_CMIP6	[-]	11.3	11.3	14.7	12.0		-3.44	7.53	1.82	0.833	0.719	0.732	0.872	0.775
NorESM2-MM_BARPA	[-]	14.4	14.3	15.0		16.3	-0.779	7.07	2.04	0.898	0.735	0.694	0.863	0.785
NorESM2-MM_CCAM	[-]	15.6	15.3	15.0		16.3	0.328	7.11	1.83	0.888	0.735	0.730	0.891	0.796
NorESM2-MM_CMIP6	[-]	14.3	14.2	14.7	15.1		-0.501	6.12	1.58	0.892	0.738	0.782	0.847	0.799

	Download Data	Period Mean (original grids) [%]	Model Period Mean (intersection) [%]	Benchmark Period Mean (intersection) [%]	Model Period Mean (complement) [%]	Benchmark Period Mean (complement) [%]	Bias [%]	RMSE [%]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	14.1
ACCESS-CM2_BARPA	[-]	12.4	12.2	14.1		15.4	-1.86	7.36	2.30	0.869	0.688	0.639	0.989	0.775
ACCESS-CM2_CCAM	[-]	15.3	15.1	14.1		15.4	1.04	8.48	2.42	0.868	0.648	0.617	0.946	0.745
ACCESS-CM2_CMIP6	[-]	13.5	13.5	13.9			-0.324	7.12	2.23	0.889	0.632	0.657	0.937	0.750
ACCESS-ESM1-5_BARPA	[-]	11.4	11.1	14.1		15.4	-2.94	7.96	2.46	0.835	0.678	0.612	0.988	0.758
ACCESS-ESM1-5_CCAM	[-]	14.1	13.9	14.1		15.4	-0.197	7.68	2.32	0.898	0.672	0.632	0.987	0.772
ACCESS-ESM1-5_CMIP6	[-]	12.4	12.3	13.8	14.6		-1.47	8.77	2.40	0.844	0.574	0.615	0.865	0.694
CESM2_BARPA	[-]	12.3	12.1	14.1		15.4	-2.00	7.19	2.27	0.859	0.700	0.643	0.964	0.773
CESM2_CCAM	[-]	15.0	14.8	14.1		15.4	0.717	7.62	2.00	0.861	0.687	0.696	0.944	0.775
CESM2_CMIP6	[-]	14.0	14.0	13.8	15.6		0.132	6.12	1.84	0.897	0.689	0.724	0.964	0.792
CMCC-ESM2_BARPA	[-]	12.4	12.2	14.1		15.4	-1.90	6.90	2.05	0.856	0.716	0.688	0.944	0.784
CMCC-ESM2_CCAM	[-]	15.5	15.3	14.1		15.4	1.24	7.11	1.89	0.882	0.697	0.719	0.970	0.793
CMCC-ESM2_CMIP6	[-]	12.3	12.2	13.8	13.3		-1.61	5.85	1.70	0.884	0.706	0.754	0.936	0.797
CNRM-ESM2-1_CCAM	[-]	14.6	14.4	14.1		15.4	0.327	8.86	2.25	0.893	0.625	0.651	0.982	0.755
CNRM-ESM2-1_CMIP6	[-]	13.3	13.3	13.8	13.3		-0.470	7.46	2.32	0.886	0.622	0.636	0.954	0.744
EC-Earth3_BARPA	[-]	12.2	11.9	14.1		15.4	-2.18	7.07	2.09	0.863	0.705	0.679	0.987	0.788
EC-Earth3_CCAM	[-]	14.2	14.0	14.1		15.4	-0.0690	7.48	2.10	0.889	0.678	0.672	0.972	0.778
EC-Earth3_CMIP6	[-]	11.8	11.7	13.9	13.7		-2.18	6.24	1.63	0.863	0.711	0.762	0.814	0.772
ERA5_BARPA	[-]	12.5	12.3	14.1		15.4	-1.74	5.97	1.94	0.879	0.740	0.705	0.991	0.811
ERA5_CCAM	[-]	14.3	14.2	14.1		15.4	0.112	5.57	1.63	0.907	0.753	0.761	0.977	0.830
MPI-ESM1-2-HR_BARPA	[-]	11.7	11.4	14.1		15.4	-2.65	7.83	2.33	0.845	0.680	0.636	0.987	0.766
MPI-ESM1-2-HR_CMIP6	[-]	10.0	10.0	13.8	11.0		-3.83	7.93	2.03	0.785	0.664	0.684	0.900	0.739
NorESM2-MM_BARPA	[-]	13.1	13.0	14.1		15.4	-1.06	7.13	2.30	0.870	0.699	0.635	0.977	0.776
NorESM2-MM_CCAM	[-]	16.0	15.9	14.1		15.4	1.82	7.70	2.11	0.855	0.682	0.668	0.973	0.772
NorESM2-MM_CMIP6	[-]	14.3	14.2	13.8	15.1		0.371	5.87	1.84	0.887	0.706	0.720	0.753	0.754

	Download Data	Period Mean (original grids) [%]	Model Period Mean (intersection) [%]	Benchmark Period Mean (intersection) [%]	Bias [%]	RMSE [%]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	12.5
ACCESS-CM2_BARPA	[-]	13.0	12.8	12.5	0.307	5.84	1.65	0.976	0.787	0.767	0.996	0.863
ACCESS-CM2_CCAM	[-]	14.8	14.7	12.5	2.26	6.43	1.60	0.911	0.782	0.788	0.941	0.841
ACCESS-CM2_CMIP6	[-]	14.1	14.1	12.0	2.06	5.88	1.88	0.896	0.747	0.684	0.669	0.748
ACCESS-ESM1-5_BARPA	[-]	13.6	13.4	12.5	0.960	6.03	1.86	0.957	0.784	0.736	0.999	0.852
ACCESS-ESM1-5_CCAM	[-]	15.2	15.1	12.5	2.64	6.89	1.79	0.897	0.772	0.751	0.997	0.838
ACCESS-ESM1-5_CMIP6	[-]	13.3	13.3	12.0	1.28	5.89	0.923	0.925	0.740	0.877	0.545	0.765
CESM2_BARPA	[-]	13.0	12.7	12.5	0.284	5.77	2.01	0.975	0.789	0.702	0.955	0.842
CESM2_CCAM	[-]	12.7	12.2	12.5	-0.290	5.64	1.41	0.964	0.796	0.811	0.991	0.872
CESM2_CMIP6	[-]	13.3	13.3	12.1	1.23	6.52	1.51	0.939	0.727	0.835	0.934	0.832
CMCC-ESM2_BARPA	[-]	12.7	12.4	12.5	-0.0554	5.75	1.61	0.980	0.790	0.776	0.985	0.864
CMCC-ESM2_CCAM	[-]	15.2	15.1	12.5	2.62	7.60	1.79	0.898	0.746	0.738	0.841	0.794
CMCC-ESM2_CMIP6	[-]	13.6	13.6	12.1	1.46	5.49	2.18	0.930	0.769	0.645	0.705	0.764
CNRM-ESM2-1_CCAM	[-]	14.4	14.2	12.5	1.74	6.20	1.54	0.931	0.784	0.796	0.941	0.847
CNRM-ESM2-1_CMIP6	[-]	10.9	10.9	11.9	-1.04	5.72	2.09	0.946	0.744	0.706	0.984	0.825
EC-Earth3_BARPA	[-]	11.9	11.4	12.5	-1.10	5.89	1.66	0.951	0.791	0.761	0.998	0.859
EC-Earth3_CCAM	[-]	14.0	13.6	12.5	1.15	7.08	1.96	0.950	0.750	0.724	0.950	0.825
EC-Earth3_CMIP6	[-]	9.52	9.52	12.1	-2.61	6.39	1.38	0.884	0.769	0.815	0.997	0.847
ERA5_BARPA	[-]	13.7	13.5	12.5	1.02	6.09	2.44	0.956	0.782	0.625	0.991	0.827
ERA5_CCAM	[-]	15.8	15.7	12.5	3.23	6.56	1.91	0.875	0.794	0.726	0.890	0.816
MPI-ESM1-2-HR_BARPA	[-]	11.3	10.8	12.5	-1.67	6.17	2.06	0.933	0.785	0.686	0.966	0.831
MPI-ESM1-2-HR_CMIP6	[-]	9.57	9.57	12.2	-2.60	6.82	2.72	0.880	0.742	0.564	0.982	0.782
NorESM2-MM_BARPA	[-]	13.8	13.6	12.5	1.16	6.86	2.47	0.952	0.758	0.604	0.995	0.814
NorESM2-MM_CCAM	[-]	14.8	14.6	12.5	2.18	6.66	1.43	0.914	0.773	0.808	0.804	0.814
NorESM2-MM_CMIP6	[-]	14.2	14.2	12.1	2.06	6.15	2.51	0.902	0.751	0.591	0.921	0.783

	Download Data	Period Mean (original grids) [%]	Model Period Mean (intersection) [%]	Benchmark Period Mean (intersection) [%]	Bias [%]	RMSE [%]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	13.4
ACCESS-CM2_BARPA	[-]	13.4	13.1	13.4	-0.299	5.63	1.51	0.964	0.806	0.801	0.837	0.843
ACCESS-CM2_CCAM	[-]	15.0	14.7	13.4	1.36	6.30	1.36	0.928	0.794	0.834	0.876	0.845
ACCESS-CM2_CMIP6	[-]	13.2	13.2	13.4	-0.234	6.05	1.80	0.936	0.749	0.715	0.849	0.800
ACCESS-ESM1-5_BARPA	[-]	14.3	14.0	13.4	0.571	6.62	1.45	0.957	0.777	0.814	0.911	0.847
ACCESS-ESM1-5_CCAM	[-]	16.2	16.1	13.4	2.69	6.67	1.47	0.894	0.796	0.806	0.817	0.822
ACCESS-ESM1-5_CMIP6	[-]	13.0	13.0	12.5	0.478	6.39	0.650	0.948	0.729	0.946	0.913	0.853
CESM2_BARPA	[-]	12.6	12.2	13.4	-1.22	6.35	1.56	0.943	0.790	0.800	0.843	0.833
CESM2_CCAM	[-]	13.8	13.4	13.4	-0.0175	5.90	1.17	0.950	0.800	0.854	0.857	0.852
CESM2_CMIP6	[-]	12.8	12.8	12.6	0.189	6.29	1.51	0.956	0.745	0.828	0.998	0.855
CMCC-ESM2_BARPA	[-]	13.2	12.6	13.4	-0.748	6.55	1.51	0.954	0.779	0.811	0.962	0.857
CMCC-ESM2_CCAM	[-]	14.9	14.5	13.4	1.16	7.38	1.75	0.936	0.757	0.758	0.978	0.837
CMCC-ESM2_CMIP6	[-]	11.8	11.8	12.6	-0.862	4.75	0.635	0.945	0.807	0.940	0.983	0.896
CNRM-ESM2-1_CCAM	[-]	15.7	15.2	13.4	1.86	7.13	1.68	0.914	0.772	0.779	0.740	0.795
CNRM-ESM2-1_CMIP6	[-]	10.4	10.4	12.6	-2.19	6.76	1.08	0.900	0.732	0.883	0.825	0.815
EC-Earth3_BARPA	[-]	12.6	12.0	13.4	-1.41	6.86	1.20	0.946	0.771	0.855	0.923	0.853
EC-Earth3_CCAM	[-]	14.9	14.4	13.4	1.04	7.31	1.90	0.933	0.758	0.718	0.749	0.783
EC-Earth3_CMIP6	[-]	10.3	10.3	12.7	-2.43	5.58	1.50	0.897	0.809	0.798	0.997	0.862
ERA5_BARPA	[-]	14.2	13.8	13.4	0.399	6.49	2.14	0.965	0.779	0.676	0.970	0.834
ERA5_CCAM	[-]	16.7	16.5	13.4	3.09	6.86	1.68	0.885	0.793	0.768	0.792	0.806
MPI-ESM1-2-HR_BARPA	[-]	11.3	10.5	13.4	-2.86	6.63	1.17	0.896	0.797	0.850	0.739	0.816
MPI-ESM1-2-HR_CMIP6	[-]	8.88	8.88	12.9	-4.05	9.10	4.69	0.834	0.688	0.184	0.929	0.665
NorESM2-MM_BARPA	[-]	14.5	14.1	13.4	0.728	7.37	1.51	0.961	0.753	0.804	0.975	0.849
NorESM2-MM_CCAM	[-]	15.1	14.8	13.4	1.37	6.99	1.51	0.929	0.772	0.805	0.840	0.824
NorESM2-MM_CMIP6	[-]	13.1	13.1	12.6	0.484	5.60	0.872	0.961	0.770	0.937	0.993	0.886

	Download Data	Period Mean (original grids) [%]	Model Period Mean (intersection) [%]	Benchmark Period Mean (intersection) [%]	Bias [%]	RMSE [%]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	15.3
ACCESS-CM2_BARPA	[-]	14.9	14.8	15.3	-0.562	5.10	0.633	0.969	0.811	0.945	0.888	0.885
ACCESS-CM2_CCAM	[-]	16.7	16.6	15.3	1.33	5.72	0.942	0.942	0.797	0.898	0.940	0.875
ACCESS-CM2_CMIP6	[-]	15.2	15.2	15.4	-0.141	4.99	0.248	0.975	0.770	0.984	0.816	0.863
ACCESS-ESM1-5_BARPA	[-]	15.0	14.8	15.3	-0.478	5.35	1.01	0.969	0.802	0.894	0.775	0.849
ACCESS-ESM1-5_CCAM	[-]	17.6	17.6	15.3	2.26	6.93	1.54	0.909	0.763	0.812	0.999	0.849
ACCESS-ESM1-5_CMIP6	[-]	14.6	14.6	14.8	-0.224	5.77	1.25	0.962	0.730	0.861	0.788	0.814
CESM2_BARPA	[-]	14.0	13.9	15.3	-1.43	5.84	1.10	0.942	0.792	0.879	0.887	0.858
CESM2_CCAM	[-]	14.5	14.3	15.3	-1.03	5.62	1.07	0.953	0.796	0.889	0.993	0.885
CESM2_CMIP6	[-]	15.6	15.6	15.1	0.566	5.55	0.658	0.970	0.758	0.945	0.915	0.869
CMCC-ESM2_BARPA	[-]	14.7	14.6	15.3	-0.732	6.68	1.42	0.966	0.758	0.834	0.926	0.849
CMCC-ESM2_CCAM	[-]	17.6	17.5	15.3	2.17	6.97	1.13	0.913	0.760	0.888	0.999	0.864
CMCC-ESM2_CMIP6	[-]	15.9	15.9	15.1	0.800	5.35	1.54	0.962	0.767	0.802	0.865	0.833
CNRM-ESM2-1_CCAM	[-]	16.2	16.1	15.3	0.794	5.96	1.10	0.957	0.784	0.889	0.961	0.875
CNRM-ESM2-1_CMIP6	[-]	13.3	13.3	15.4	-2.06	5.15	0.584	0.903	0.788	0.963	0.791	0.846
EC-Earth3_BARPA	[-]	14.7	14.3	15.3	-1.01	5.64	0.915	0.957	0.794	0.894	0.984	0.884
EC-Earth3_CCAM	[-]	16.4	16.3	15.3	0.933	6.46	1.83	0.953	0.768	0.751	0.985	0.845
EC-Earth3_CMIP6	[-]	13.2	13.2	15.3	-2.18	5.28	1.09	0.902	0.803	0.907	0.853	0.854
ERA5_BARPA	[-]	15.7	15.5	15.3	0.211	5.03	1.52	0.976	0.812	0.813	0.945	0.872
ERA5_CCAM	[-]	17.7	17.7	15.3	2.36	5.37	1.19	0.906	0.820	0.849	0.982	0.876
MPI-ESM1-2-HR_BARPA	[-]	13.3	12.9	15.3	-2.39	5.74	0.597	0.905	0.807	0.938	0.941	0.879
MPI-ESM1-2-HR_CMIP6	[-]	11.5	11.5	15.2	-3.71	6.77	1.28	0.833	0.760	0.804	0.890	0.810
NorESM2-MM_BARPA	[-]	15.8	15.7	15.3	0.349	6.26	1.49	0.975	0.770	0.778	0.973	0.853
NorESM2-MM_CCAM	[-]	16.1	15.9	15.3	0.625	5.82	0.953	0.960	0.788	0.902	0.853	0.858
NorESM2-MM_CMIP6	[-]	16.1	16.1	15.1	0.996	5.35	1.90	0.951	0.769	0.728	0.999	0.843

	Download Data	Period Mean (original grids) [%]	Model Period Mean (intersection) [%]	Benchmark Period Mean (intersection) [%]	Bias [%]	RMSE [%]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	10.6
ACCESS-CM2_BARPA	[-]	11.1	10.3	10.6	-0.230	6.94	1.34	0.962	0.735	0.850	0.996	0.856
ACCESS-CM2_CCAM	[-]	13.6	12.8	10.6	2.25	7.50	1.03	0.893	0.739	0.888	0.860	0.824
ACCESS-CM2_CMIP6	[-]	11.1	11.1	8.99	2.13	7.16	0.728	0.874	0.672	0.917	0.994	0.826
ACCESS-ESM1-5_BARPA	[-]	11.4	10.6	10.6	-0.00202	5.92	0.898	0.958	0.774	0.905	0.992	0.881
ACCESS-ESM1-5_CCAM	[-]	13.7	13.1	10.6	2.49	7.24	0.897	0.885	0.757	0.899	0.852	0.830
ACCESS-ESM1-5_CMIP6	[-]	10.0	10.0	9.02	0.975	5.89	0.492	0.920	0.712	0.957	0.989	0.858
CESM2_BARPA	[-]	11.1	10.1	10.6	-0.437	6.01	1.21	0.950	0.769	0.866	0.980	0.867
CESM2_CCAM	[-]	11.0	10.0	10.6	-0.575	6.11	0.934	0.960	0.761	0.899	0.997	0.876
CESM2_CMIP6	[-]	9.10	9.10	9.20	-0.104	5.06	0.783	0.954	0.756	0.930	0.996	0.879
CMCC-ESM2_BARPA	[-]	10.4	9.42	10.6	-1.15	5.82	1.23	0.940	0.778	0.840	0.995	0.866
CMCC-ESM2_CCAM	[-]	13.9	12.9	10.6	2.31	7.74	0.955	0.893	0.721	0.890	0.902	0.825
CMCC-ESM2_CMIP6	[-]	8.80	8.80	9.20	-0.400	4.39	0.354	0.960	0.790	0.977	0.631	0.830
CNRM-ESM2-1_CCAM	[-]	15.4	14.4	10.6	3.86	7.80	1.06	0.838	0.747	0.877	0.972	0.836
CNRM-ESM2-1_CMIP6	[-]	9.25	9.25	8.99	0.255	5.89	1.29	0.947	0.710	0.825	0.996	0.838
EC-Earth3_BARPA	[-]	11.6	10.5	10.6	-0.114	5.65	1.02	0.961	0.780	0.876	0.986	0.877
EC-Earth3_CCAM	[-]	13.8	12.9	10.6	2.29	7.33	0.951	0.894	0.733	0.892	0.941	0.839
EC-Earth3_CMIP6	[-]	9.60	9.60	9.48	0.121	4.81	0.733	0.951	0.785	0.911	0.995	0.885
ERA5_BARPA	[-]	11.6	10.7	10.6	0.169	6.01	1.20	0.966	0.767	0.852	0.986	0.868
ERA5_CCAM	[-]	14.7	13.9	10.6	3.28	8.02	0.975	0.862	0.732	0.890	0.873	0.818
MPI-ESM1-2-HR_BARPA	[-]	10.4	9.19	10.6	-1.39	5.99	0.896	0.936	0.776	0.890	0.968	0.869
MPI-ESM1-2-HR_CMIP6	[-]	7.30	7.30	9.34	-2.04	9.39	3.79	0.891	0.622	0.380	0.996	0.702
NorESM2-MM_BARPA	[-]	12.3	11.5	10.6	0.968	7.47	1.78	0.940	0.729	0.728	0.977	0.821
NorESM2-MM_CCAM	[-]	13.2	12.6	10.6	2.01	7.27	0.854	0.909	0.742	0.909	0.902	0.841
NorESM2-MM_CMIP6	[-]	9.84	9.84	9.20	0.644	4.48	0.503	0.957	0.782	0.965	0.820	0.861

	Download Data	Period Mean (original grids) [%]	Model Period Mean (intersection) [%]	Benchmark Period Mean (intersection) [%]	Bias [%]	RMSE [%]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	11.1
ACCESS-CM2_BARPA	[-]	12.2	11.4	11.1	0.262	7.03	1.57	0.948	0.734	0.797	0.894	0.821
ACCESS-CM2_CCAM	[-]	14.8	13.9	11.1	2.72	8.23	1.37	0.869	0.722	0.825	0.726	0.773
ACCESS-CM2_CMIP6	[-]	11.6	11.6	9.15	2.48	7.47	1.33	0.857	0.647	0.839	0.783	0.755
ACCESS-ESM1-5_BARPA	[-]	12.0	11.2	11.1	0.0612	6.39	1.30	0.944	0.754	0.836	0.896	0.837
ACCESS-ESM1-5_CCAM	[-]	14.7	13.7	11.1	2.59	8.13	1.38	0.876	0.723	0.817	0.890	0.806
ACCESS-ESM1-5_CMIP6	[-]	11.2	11.2	9.13	2.03	6.63	0.957	0.881	0.672	0.911	0.792	0.786
CESM2_BARPA	[-]	11.8	10.8	11.1	-0.370	5.94	1.31	0.947	0.763	0.823	0.914	0.842
CESM2_CCAM	[-]	11.9	10.9	11.1	-0.289	6.74	1.51	0.949	0.727	0.806	0.952	0.832
CESM2_CMIP6	[-]	10.5	10.5	9.58	0.909	5.37	0.790	0.940	0.724	0.936	0.998	0.865
CMCC-ESM2_BARPA	[-]	11.6	10.6	11.1	-0.511	6.41	1.57	0.944	0.743	0.784	0.885	0.820
CMCC-ESM2_CCAM	[-]	15.2	14.1	11.1	2.97	8.44	1.23	0.859	0.703	0.831	0.778	0.775
CMCC-ESM2_CMIP6	[-]	8.99	8.99	9.58	-0.590	3.96	0.546	0.949	0.796	0.961	0.800	0.860
CNRM-ESM2-1_CCAM	[-]	16.7	15.7	11.1	4.53	9.33	1.60	0.803	0.685	0.781	0.653	0.722
CNRM-ESM2-1_CMIP6	[-]	10.2	10.2	9.25	0.956	5.96	1.36	0.924	0.707	0.836	0.890	0.813
EC-Earth3_BARPA	[-]	13.2	12.1	11.1	0.921	6.08	1.29	0.934	0.755	0.839	0.945	0.846
EC-Earth3_CCAM	[-]	15.9	14.8	11.1	3.66	8.07	1.13	0.834	0.708	0.843	0.734	0.765
EC-Earth3_CMIP6	[-]	10.5	10.5	9.81	0.692	5.03	0.878	0.941	0.773	0.891	0.977	0.871
ERA5_BARPA	[-]	12.6	11.7	11.1	0.521	6.12	1.37	0.945	0.765	0.817	0.994	0.857
ERA5_CCAM	[-]	15.1	14.2	11.1	3.01	7.77	1.19	0.861	0.721	0.840	0.855	0.800
MPI-ESM1-2-HR_BARPA	[-]	12.8	11.6	11.1	0.475	6.61	1.38	0.952	0.734	0.810	0.974	0.841
MPI-ESM1-2-HR_CMIP6	[-]	8.51	8.51	9.58	-1.07	10.3	2.37	0.930	0.618	0.635	0.939	0.748
NorESM2-MM_BARPA	[-]	13.9	13.1	11.1	1.92	8.23	1.54	0.901	0.717	0.764	0.934	0.806
NorESM2-MM_CCAM	[-]	14.8	14.1	11.1	2.91	7.62	1.22	0.865	0.746	0.824	0.867	0.810
NorESM2-MM_CMIP6	[-]	11.1	11.1	9.58	1.50	4.57	0.422	0.913	0.779	0.973	0.998	0.888

	Download Data	Period Mean (original grids) [%]	Model Period Mean (intersection) [%]	Benchmark Period Mean (intersection) [%]	Bias [%]	RMSE [%]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	12.9
ACCESS-CM2_BARPA	[-]	13.6	13.5	12.9	0.542	7.07	2.27	0.967	0.751	0.650	0.998	0.823
ACCESS-CM2_CCAM	[-]	13.8	13.6	12.9	0.736	6.50	1.81	0.958	0.770	0.748	0.984	0.846
ACCESS-CM2_CMIP6	[-]	14.0	14.0	12.7	1.34	7.07	2.15	0.929	0.702	0.645	0.972	0.790
ACCESS-ESM1-5_BARPA	[-]	13.0	12.7	12.9	-0.198	5.65	1.62	0.973	0.796	0.790	0.999	0.871
ACCESS-ESM1-5_CCAM	[-]	13.7	13.4	12.9	0.510	6.52	1.79	0.964	0.769	0.757	0.999	0.851
ACCESS-ESM1-5_CMIP6	[-]	13.6	13.6	12.8	0.821	7.77	1.35	0.936	0.677	0.873	0.977	0.828
CESM2_BARPA	[-]	13.2	13.0	12.9	0.0808	5.59	1.25	0.975	0.797	0.849	0.999	0.884
CESM2_CCAM	[-]	11.2	10.7	12.9	-2.20	6.75	1.52	0.914	0.772	0.794	0.996	0.850
CESM2_CMIP6	[-]	14.3	14.3	12.8	1.56	6.96	1.35	0.926	0.721	0.857	0.996	0.844
CMCC-ESM2_BARPA	[-]	13.1	12.8	12.9	-0.112	6.78	2.28	0.971	0.759	0.650	0.995	0.827
CMCC-ESM2_CCAM	[-]	15.1	15.0	12.9	2.13	6.35	1.72	0.915	0.786	0.765	0.875	0.826
CMCC-ESM2_CMIP6	[-]	14.5	14.5	12.8	1.77	5.97	1.66	0.918	0.763	0.776	0.827	0.809
CNRM-ESM2-1_CCAM	[-]	13.2	13.0	12.9	0.0964	6.03	1.52	0.969	0.783	0.811	0.962	0.862
CNRM-ESM2-1_CMIP6	[-]	12.3	12.3	12.7	-0.372	5.53	1.01	0.971	0.755	0.899	0.999	0.876
EC-Earth3_BARPA	[-]	11.7	11.3	12.9	-1.65	5.62	1.38	0.935	0.805	0.829	0.998	0.874
EC-Earth3_CCAM	[-]	12.7	12.4	12.9	-0.465	5.68	1.40	0.971	0.795	0.825	0.993	0.876
EC-Earth3_CMIP6	[-]	10.8	10.8	12.8	-2.02	7.30	1.19	0.907	0.728	0.851	0.932	0.829
ERA5_BARPA	[-]	13.5	13.4	12.9	0.445	5.06	1.13	0.970	0.815	0.855	0.998	0.891
ERA5_CCAM	[-]	14.2	14.0	12.9	1.08	5.08	1.40	0.951	0.820	0.806	0.969	0.873
MPI-ESM1-2-HR_BARPA	[-]	12.5	12.2	12.9	-0.693	6.45	1.84	0.964	0.771	0.720	0.998	0.845
MPI-ESM1-2-HR_CMIP6	[-]	11.0	11.0	12.6	-1.52	6.69	1.94	0.925	0.734	0.730	0.984	0.822
NorESM2-MM_BARPA	[-]	13.9	13.7	12.9	0.791	6.60	2.26	0.961	0.766	0.651	0.983	0.826
NorESM2-MM_CCAM	[-]	14.4	14.2	12.9	1.32	6.03	1.62	0.945	0.788	0.778	0.991	0.858
NorESM2-MM_CMIP6	[-]	14.6	14.6	12.8	1.87	6.29	1.81	0.913	0.750	0.739	0.860	0.802

	Download Data	Period Mean (original grids) [%]	Model Period Mean (intersection) [%]	Benchmark Period Mean (intersection) [%]	Bias [%]	RMSE [%]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	9.05
ACCESS-CM2_BARPA	[-]	11.1	10.5	9.05	1.44	7.14	2.08	0.934	0.745	0.685	0.926	0.807
ACCESS-CM2_CCAM	[-]	13.7	13.2	9.05	4.12	8.35	1.98	0.832	0.740	0.710	0.963	0.797
ACCESS-CM2_CMIP6	[-]	11.4	11.4	7.47	3.91	7.92	2.23	0.791	0.670	0.662	0.997	0.758
ACCESS-ESM1-5_BARPA	[-]	10.9	10.3	9.05	1.25	6.20	1.54	0.936	0.775	0.781	0.996	0.853
ACCESS-ESM1-5_CCAM	[-]	13.0	12.3	9.05	3.30	7.55	1.61	0.862	0.754	0.779	0.958	0.821
ACCESS-ESM1-5_CMIP6	[-]	10.5	10.5	7.48	3.04	7.41	1.46	0.833	0.675	0.807	0.996	0.797
CESM2_BARPA	[-]	10.1	9.37	9.05	0.315	6.25	1.74	0.953	0.765	0.761	0.984	0.846
CESM2_CCAM	[-]	9.90	8.97	9.05	-0.0816	7.10	2.28	0.963	0.734	0.649	0.950	0.806
CESM2_CMIP6	[-]	10.0	10.0	7.74	2.26	6.58	1.23	0.878	0.716	0.864	0.987	0.832
CMCC-ESM2_BARPA	[-]	10.2	9.51	9.05	0.459	7.39	2.66	0.958	0.729	0.580	0.925	0.784
CMCC-ESM2_CCAM	[-]	14.3	13.7	9.05	4.69	9.71	2.44	0.811	0.696	0.616	0.989	0.762
CMCC-ESM2_CMIP6	[-]	10.4	10.4	7.74	2.70	7.05	2.09	0.860	0.711	0.685	0.992	0.791
CNRM-ESM2-1_CCAM	[-]	14.2	13.5	9.05	4.44	8.41	1.87	0.821	0.735	0.729	0.817	0.768
CNRM-ESM2-1_CMIP6	[-]	7.88	7.88	7.45	0.428	5.38	1.30	0.945	0.738	0.832	0.987	0.848
EC-Earth3_BARPA	[-]	9.76	8.89	9.05	-0.162	6.08	1.57	0.957	0.771	0.788	0.907	0.839
EC-Earth3_CCAM	[-]	13.2	12.4	9.05	3.35	7.69	1.79	0.861	0.733	0.745	0.859	0.786
EC-Earth3_CMIP6	[-]	8.65	8.65	7.92	0.732	5.84	1.32	0.943	0.745	0.827	0.960	0.844
ERA5_BARPA	[-]	10.9	10.2	9.05	1.19	6.60	2.16	0.943	0.757	0.671	0.995	0.824
ERA5_CCAM	[-]	13.7	13.0	9.05	3.97	7.99	2.08	0.838	0.744	0.685	0.901	0.782
MPI-ESM1-2-HR_BARPA	[-]	9.70	8.87	9.05	-0.188	6.61	1.73	0.962	0.752	0.751	0.977	0.839
MPI-ESM1-2-HR_CMIP6	[-]	7.31	7.31	7.75	-0.439	10.5	3.71	0.945	0.598	0.370	0.972	0.697
NorESM2-MM_BARPA	[-]	11.9	11.3	9.05	2.27	8.82	3.19	0.902	0.698	0.465	0.988	0.750
NorESM2-MM_CCAM	[-]	13.6	13.1	9.05	4.06	8.57	1.83	0.834	0.735	0.732	0.993	0.806
NorESM2-MM_CMIP6	[-]	11.0	11.0	7.74	3.24	6.72	0.983	0.836	0.733	0.880	0.993	0.835

	Download Data	Period Mean (original grids) [%]	Model Period Mean (intersection) [%]	Benchmark Period Mean (intersection) [%]	Bias [%]	RMSE [%]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	8.99
ACCESS-CM2_BARPA	[-]	10.4	9.92	8.99	0.927	7.07	1.80	0.956	0.743	0.746	0.951	0.828
ACCESS-CM2_CCAM	[-]	11.3	10.7	8.99	1.70	7.21	2.27	0.926	0.746	0.651	0.958	0.805
ACCESS-CM2_CMIP6	[-]	10.2	10.2	7.80	2.41	7.44	1.85	0.871	0.677	0.746	0.974	0.789
ACCESS-ESM1-5_BARPA	[-]	9.87	9.33	8.99	0.340	6.58	1.25	0.970	0.759	0.859	0.991	0.868
ACCESS-ESM1-5_CCAM	[-]	10.3	9.53	8.99	0.543	7.01	2.09	0.960	0.744	0.689	0.987	0.825
ACCESS-ESM1-5_CMIP6	[-]	9.67	9.67	7.85	1.83	8.28	1.92	0.900	0.639	0.729	0.862	0.754
CESM2_BARPA	[-]	9.45	8.88	8.99	-0.110	6.11	1.48	0.975	0.771	0.814	0.979	0.862
CESM2_CCAM	[-]	9.01	8.21	8.99	-0.779	8.28	2.23	0.949	0.707	0.661	0.896	0.784
CESM2_CMIP6	[-]	9.97	9.97	7.95	2.01	6.69	1.18	0.899	0.717	0.863	0.995	0.838
CMCC-ESM2_BARPA	[-]	10.0	9.44	8.99	0.453	8.09	2.68	0.966	0.710	0.566	0.998	0.790
CMCC-ESM2_CCAM	[-]	13.2	12.8	8.99	3.86	8.28	2.07	0.847	0.738	0.694	0.990	0.801
CMCC-ESM2_CMIP6	[-]	10.4	10.4	7.95	2.48	6.54	2.30	0.877	0.731	0.647	0.993	0.796
CNRM-ESM2-1_CCAM	[-]	11.8	11.3	8.99	2.29	6.52	1.32	0.906	0.774	0.837	0.873	0.833
CNRM-ESM2-1_CMIP6	[-]	8.48	8.48	7.73	0.757	5.60	1.34	0.942	0.738	0.830	0.980	0.846
EC-Earth3_BARPA	[-]	8.88	8.08	8.99	-0.913	6.10	1.47	0.954	0.776	0.816	0.997	0.864
EC-Earth3_CCAM	[-]	10.7	9.90	8.99	0.912	6.17	1.41	0.946	0.775	0.815	0.843	0.831
EC-Earth3_CMIP6	[-]	7.67	7.67	8.08	-0.411	5.93	1.20	0.947	0.751	0.852	0.990	0.858
ERA5_BARPA	[-]	10.3	9.87	8.99	0.881	5.89	1.36	0.958	0.782	0.816	0.967	0.861
ERA5_CCAM	[-]	10.9	10.3	8.99	1.29	5.71	1.34	0.942	0.792	0.820	0.922	0.854
MPI-ESM1-2-HR_BARPA	[-]	9.11	8.47	8.99	-0.522	6.67	1.23	0.970	0.754	0.850	0.944	0.854
MPI-ESM1-2-HR_CMIP6	[-]	7.30	7.30	7.99	-0.684	7.32	2.33	0.948	0.694	0.646	0.990	0.794
NorESM2-MM_BARPA	[-]	11.0	10.6	8.99	1.59	7.73	2.23	0.933	0.728	0.661	0.968	0.803
NorESM2-MM_CCAM	[-]	12.4	11.9	8.99	2.93	8.11	1.85	0.881	0.730	0.732	0.997	0.814
NorESM2-MM_CMIP6	[-]	11.5	11.5	7.95	3.53	7.94	2.26	0.829	0.692	0.643	0.937	0.759

	Download Data	Period Mean (original grids) [%]	Model Period Mean (intersection) [%]	Benchmark Period Mean (intersection) [%]	Bias [%]	RMSE [%]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	15.6
ACCESS-CM2_BARPA	[-]	16.8	16.7	15.6	1.11	7.72	3.04	0.949	0.711	0.510	0.999	0.776
ACCESS-CM2_CCAM	[-]	16.9	16.9	15.6	1.31	6.54	1.89	0.937	0.752	0.762	0.999	0.841
ACCESS-CM2_CMIP6	[-]	17.5	17.5	15.7	1.79	6.58	1.47	0.886	0.654	0.851	0.177	0.644
ACCESS-ESM1-5_BARPA	[-]	15.5	15.5	15.6	-0.103	6.45	2.13	0.972	0.750	0.680	0.950	0.821
ACCESS-ESM1-5_CCAM	[-]	16.4	16.5	15.6	0.819	7.00	1.25	0.947	0.735	0.874	0.793	0.817
ACCESS-ESM1-5_CMIP6	[-]	17.8	17.8	15.8	2.01	6.88	0.00	0.891	0.685	1.00	1.00	0.852
CESM2_BARPA	[-]	15.4	15.4	15.6	-0.206	5.93	2.03	0.957	0.770	0.713	0.712	0.785
CESM2_CCAM	[-]	16.1	16.1	15.6	0.458	6.35	1.99	0.961	0.755	0.705	0.996	0.835
CESM2_CMIP6	[-]	18.6	18.6	15.5	3.06	7.82	0.00	0.842	0.668	1.00	0.977	0.831
CMCC-ESM2_BARPA	[-]	16.2	16.3	15.6	0.630	6.36	1.92	0.956	0.756	0.740	0.699	0.781
CMCC-ESM2_CCAM	[-]	18.6	18.6	15.6	2.93	7.49	1.77	0.877	0.733	0.774	0.983	0.820
CMCC-ESM2_CMIP6	[-]	18.5	18.5	15.5	2.95	6.81	0.513	0.848	0.708	0.965	0.708	0.788
CNRM-ESM2-1_CCAM	[-]	16.0	16.0	15.6	0.397	5.83	1.15	0.961	0.773	0.851	0.991	0.870
CNRM-ESM2-1_CMIP6	[-]	15.5	15.5	15.8	-0.271	4.99	0.522	0.928	0.755	0.965	0.0638	0.693
EC-Earth3_BARPA	[-]	15.8	15.8	15.6	0.131	6.18	1.35	0.972	0.761	0.842	0.981	0.863
EC-Earth3_CCAM	[-]	16.9	17.0	15.6	1.34	5.56	1.13	0.937	0.788	0.844	0.999	0.871
EC-Earth3_CMIP6	[-]	15.7	15.7	15.5	0.263	7.38	0.983	0.951	0.677	0.937	0.347	0.718
ERA5_BARPA	[-]	16.7	16.7	15.6	1.06	5.86	1.46	0.953	0.774	0.827	0.955	0.857
ERA5_CCAM	[-]	16.5	16.5	15.6	0.914	4.90	0.734	0.953	0.809	0.919	0.997	0.897
MPI-ESM1-2-HR_BARPA	[-]	15.4	15.4	15.6	-0.184	6.60	2.32	0.966	0.745	0.667	0.933	0.811
MPI-ESM1-2-HR_CMIP6	[-]	16.4	16.4	15.7	0.680	6.03	0.676	0.865	0.748	0.956	0.0788	0.679
NorESM2-MM_BARPA	[-]	17.0	16.9	15.6	1.29	7.34	2.74	0.942	0.726	0.544	0.739	0.736
NorESM2-MM_CCAM	[-]	16.4	16.4	15.6	0.788	6.12	1.93	0.958	0.764	0.734	0.995	0.843
NorESM2-MM_CMIP6	[-]	18.4	18.4	15.5	2.85	6.46	0.495	0.852	0.721	0.968	0.971	0.847

	Download Data	Period Mean (original grids) [%]	Model Period Mean (intersection) [%]	Benchmark Period Mean (intersection) [%]	Bias [%]	RMSE [%]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	14.9
ACCESS-CM2_BARPA	[-]	16.0	15.8	14.9	0.885	5.83	2.94	0.946	0.724	0.522	0.878	0.759
ACCESS-CM2_CCAM	[-]	16.6	16.7	14.9	1.76	5.90	2.77	0.903	0.731	0.553	0.991	0.781
ACCESS-CM2_CMIP6	[-]	15.4	15.4	14.7	0.702	6.60	3.05	0.943	0.578	0.498	1.00	0.719
ACCESS-ESM1-5_BARPA	[-]	15.2	15.0	14.9	0.126	5.75	2.97	0.957	0.724	0.518	0.873	0.759
ACCESS-ESM1-5_CCAM	[-]	16.8	16.9	14.9	1.96	6.12	2.85	0.892	0.721	0.538	0.993	0.773
ACCESS-ESM1-5_CMIP6	[-]	17.7	17.7	15.2	2.46	7.12	0.983	0.837	0.619	0.937	0.573	0.717
CESM2_BARPA	[-]	14.8	14.7	14.9	-0.240	5.11	2.62	0.956	0.752	0.575	0.820	0.771
CESM2_CCAM	[-]	14.8	14.8	14.9	-0.0656	6.21	2.96	0.971	0.701	0.506	0.993	0.774
CESM2_CMIP6	[-]	16.8	16.8	15.1	1.72	6.73	2.68	0.886	0.630	0.587	0.880	0.723
CMCC-ESM2_BARPA	[-]	15.8	15.7	14.9	0.751	5.37	2.69	0.946	0.741	0.569	0.879	0.775
CMCC-ESM2_CCAM	[-]	18.0	18.0	14.9	3.14	6.20	2.90	0.834	0.737	0.533	0.999	0.768
CMCC-ESM2_CMIP6	[-]	17.9	17.9	15.1	2.78	8.03	2.36	0.820	0.585	0.643	0.00988	0.529
CNRM-ESM2-1_CCAM	[-]	16.2	16.2	14.9	1.31	5.28	2.94	0.923	0.750	0.521	0.915	0.772
CNRM-ESM2-1_CMIP6	[-]	14.5	14.5	15.2	-0.653	4.45	4.38	0.933	0.731	0.215	0.982	0.718
EC-Earth3_BARPA	[-]	16.1	15.9	14.9	1.02	5.31	3.03	0.940	0.745	0.507	0.983	0.784
EC-Earth3_CCAM	[-]	17.2	17.2	14.9	2.29	5.11	2.61	0.875	0.772	0.581	0.832	0.766
EC-Earth3_CMIP6	[-]	16.0	16.0	15.0	0.944	6.67	3.02	0.938	0.648	0.517	0.954	0.741
ERA5_BARPA	[-]	16.5	16.4	14.9	1.46	4.04	2.18	0.921	0.811	0.652	0.904	0.819
ERA5_CCAM	[-]	16.9	16.9	14.9	1.97	4.78	2.38	0.891	0.782	0.616	0.985	0.811
MPI-ESM1-2-HR_BARPA	[-]	15.1	14.9	14.9	0.0272	5.81	2.81	0.953	0.724	0.533	0.921	0.771
MPI-ESM1-2-HR_CMIP6	[-]	17.2	17.2	14.9	2.24	6.20	5.05	0.850	0.659	0.0695	0.907	0.629
NorESM2-MM_BARPA	[-]	15.8	15.6	14.9	0.740	5.37	2.64	0.943	0.744	0.562	0.632	0.725
NorESM2-MM_CCAM	[-]	16.1	16.2	14.9	1.26	4.74	2.35	0.928	0.773	0.618	0.939	0.806
NorESM2-MM_CMIP6	[-]	17.8	17.8	15.1	2.69	6.99	2.66	0.826	0.632	0.591	0.923	0.721

	Download Data	Period Mean (original grids) [%]	Model Period Mean (intersection) [%]	Benchmark Period Mean (intersection) [%]	Bias [%]	RMSE [%]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	15.9
ACCESS-CM2_BARPA	[-]	15.8	15.8	15.9	-0.0296	5.33	1.73	0.969	0.798	0.758	0.736	0.812
ACCESS-CM2_CCAM	[-]	16.0	16.0	15.9	0.142	6.93	1.76	0.967	0.745	0.765	0.824	0.809
ACCESS-CM2_CMIP6	[-]	15.1	15.1	15.7	-0.626	5.93	0.669	0.936	0.728	0.918	0.00639	0.663
ACCESS-ESM1-5_BARPA	[-]	15.2	15.2	15.9	-0.679	6.11	1.63	0.951	0.775	0.797	0.555	0.771
ACCESS-ESM1-5_CCAM	[-]	16.5	16.4	15.9	0.525	6.51	1.45	0.966	0.759	0.838	0.799	0.824
ACCESS-ESM1-5_CMIP6	[-]	14.0	14.0	15.8	-1.87	8.74	1.00	0.904	0.631	0.935	0.572	0.735
CESM2_BARPA	[-]	15.6	15.5	15.9	-0.345	5.91	1.86	0.965	0.779	0.738	0.708	0.794
CESM2_CCAM	[-]	14.5	14.4	15.9	-1.48	6.91	1.84	0.932	0.753	0.743	0.556	0.748
CESM2_CMIP6	[-]	16.1	16.1	15.9	0.194	8.45	0.660	0.959	0.648	0.957	0.837	0.810
CMCC-ESM2_BARPA	[-]	16.1	16.0	15.9	0.129	6.18	1.75	0.972	0.770	0.756	0.752	0.804
CMCC-ESM2_CCAM	[-]	17.6	17.6	15.9	1.71	6.25	1.83	0.929	0.775	0.747	0.915	0.828
CMCC-ESM2_CMIP6	[-]	16.6	16.6	15.9	0.747	6.04	2.88	0.963	0.735	0.499	0.833	0.753
CNRM-ESM2-1_CCAM	[-]	15.5	15.4	15.9	-0.427	6.64	1.59	0.969	0.754	0.803	0.930	0.842
CNRM-ESM2-1_CMIP6	[-]	15.5	15.5	15.9	-0.410	6.89	0.00	0.960	0.672	1.00	0.233	0.707
EC-Earth3_BARPA	[-]	14.6	14.5	15.9	-1.38	5.24	1.29	0.937	0.808	0.833	0.690	0.815
EC-Earth3_CCAM	[-]	15.9	15.8	15.9	-0.0511	6.18	1.91	0.964	0.770	0.719	0.816	0.808
EC-Earth3_CMIP6	[-]	13.6	13.6	15.8	-2.19	6.59	1.26	0.885	0.752	0.849	0.185	0.684
ERA5_BARPA	[-]	16.6	16.6	15.9	0.716	5.40	1.04	0.966	0.796	0.857	0.921	0.867
ERA5_CCAM	[-]	17.2	17.2	15.9	1.32	4.68	1.93	0.944	0.827	0.725	0.984	0.861
MPI-ESM1-2-HR_BARPA	[-]	14.7	14.6	15.9	-1.26	6.10	1.79	0.936	0.781	0.723	0.458	0.736
MPI-ESM1-2-HR_CMIP6	[-]	13.9	13.9	15.8	-1.98	7.18	1.34	0.907	0.714	0.793	0.0852	0.643
NorESM2-MM_BARPA	[-]	16.3	16.2	15.9	0.317	5.63	1.64	0.971	0.788	0.792	0.793	0.826
NorESM2-MM_CCAM	[-]	16.3	16.3	15.9	0.473	6.58	1.49	0.960	0.757	0.798	0.729	0.800
NorESM2-MM_CMIP6	[-]	16.6	16.6	15.9	0.718	5.41	1.51	0.953	0.760	0.832	0.974	0.856

	Download Data	Period Mean (original grids) [%]	Model Period Mean (intersection) [%]	Benchmark Period Mean (intersection) [%]	Bias [%]	RMSE [%]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	16.2
ACCESS-CM2_BARPA	[-]	16.9	16.8	16.2	0.601	7.05	2.50	0.969	0.746	0.588	0.991	0.808
ACCESS-CM2_CCAM	[-]	16.1	16.0	16.2	-0.201	6.21	2.36	0.973	0.772	0.623	0.991	0.826
ACCESS-CM2_CMIP6	[-]	15.7	15.7	16.2	-0.501	8.24	3.34	0.968	0.634	0.427	0.0413	0.541
ACCESS-ESM1-5_BARPA	[-]	16.3	16.2	16.2	-0.00155	5.38	1.73	0.967	0.801	0.771	0.959	0.860
ACCESS-ESM1-5_CCAM	[-]	16.3	16.2	16.2	0.00747	6.61	2.01	0.969	0.760	0.707	0.929	0.825
ACCESS-ESM1-5_CMIP6	[-]	16.6	16.6	15.4	1.25	11.7	1.52	0.936	0.544	0.841	0.905	0.754
CESM2_BARPA	[-]	16.2	16.1	16.2	-0.130	5.62	1.41	0.973	0.792	0.830	0.986	0.875
CESM2_CCAM	[-]	14.8	14.6	16.2	-1.64	7.98	2.58	0.933	0.723	0.573	0.768	0.744
CESM2_CMIP6	[-]	17.3	17.3	15.9	1.39	7.13	2.23	0.934	0.705	0.674	0.956	0.795
CMCC-ESM2_BARPA	[-]	16.0	15.9	16.2	-0.283	6.71	2.26	0.963	0.757	0.637	0.975	0.818
CMCC-ESM2_CCAM	[-]	17.4	17.4	16.2	1.20	4.86	1.80	0.950	0.823	0.727	0.999	0.865
CMCC-ESM2_CMIP6	[-]	17.0	17.0	15.9	1.15	5.80	1.43	0.944	0.752	0.835	1.00	0.857
CNRM-ESM2-1_CCAM	[-]	15.8	15.8	16.2	-0.434	6.43	1.76	0.970	0.766	0.787	0.986	0.855
CNRM-ESM2-1_CMIP6	[-]	15.3	15.3	16.6	-1.28	5.79	4.02	0.933	0.734	0.259	1.00	0.732
EC-Earth3_BARPA	[-]	15.9	15.7	16.2	-0.487	5.73	1.60	0.970	0.788	0.807	0.987	0.868
EC-Earth3_CCAM	[-]	15.9	15.7	16.2	-0.470	5.97	1.81	0.961	0.781	0.763	0.906	0.838
EC-Earth3_CMIP6	[-]	15.6	15.6	16.0	-0.452	8.91	1.95	0.965	0.653	0.737	0.741	0.750
ERA5_BARPA	[-]	17.1	17.0	16.2	0.777	4.81	1.67	0.965	0.821	0.763	0.995	0.873
ERA5_CCAM	[-]	17.0	17.0	16.2	0.773	5.21	1.60	0.960	0.808	0.801	0.946	0.865
MPI-ESM1-2-HR_BARPA	[-]	16.4	16.2	16.2	0.0291	5.76	1.87	0.970	0.787	0.722	0.954	0.844
MPI-ESM1-2-HR_CMIP6	[-]	15.3	15.3	16.1	-0.848	5.73	2.82	0.959	0.756	0.541	0.407	0.684
NorESM2-MM_BARPA	[-]	16.5	16.3	16.2	0.156	6.02	2.27	0.972	0.778	0.670	0.960	0.832
NorESM2-MM_CCAM	[-]	17.1	17.0	16.2	0.842	6.09	1.79	0.963	0.778	0.764	0.964	0.849
NorESM2-MM_CMIP6	[-]	17.2	17.2	15.9	1.32	6.79	3.41	0.936	0.717	0.408	0.719	0.699

	Download Data	Period Mean (original grids) [%]	Model Period Mean (intersection) [%]	Benchmark Period Mean (intersection) [%]	Bias [%]	RMSE [%]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	12.7
ACCESS-CM2_BARPA	[-]	13.3	13.0	12.7	0.370	8.93	2.19	0.970	0.707	0.676	0.999	0.812
ACCESS-CM2_CCAM	[-]	12.6	12.2	12.7	-0.462	7.29	2.24	0.971	0.756	0.655	0.988	0.825
ACCESS-CM2_CMIP6	[-]	12.6	12.6	12.3	0.303	7.85	3.00	0.985	0.672	0.510	0.998	0.767
ACCESS-ESM1-5_BARPA	[-]	12.4	12.0	12.7	-0.685	7.40	1.76	0.969	0.752	0.761	0.936	0.834
ACCESS-ESM1-5_CCAM	[-]	11.9	11.3	12.7	-1.41	7.94	2.00	0.947	0.738	0.722	0.998	0.829
ACCESS-ESM1-5_CMIP6	[-]	11.7	11.7	12.1	-0.405	7.91	1.66	0.962	0.670	0.795	0.884	0.796
CESM2_BARPA	[-]	12.9	12.5	12.7	-0.192	5.91	1.48	0.975	0.796	0.800	0.998	0.873
CESM2_CCAM	[-]	11.3	10.5	12.7	-2.20	8.34	2.40	0.918	0.732	0.632	0.964	0.795
CESM2_CMIP6	[-]	13.2	13.2	12.0	1.16	6.83	1.88	0.946	0.726	0.732	0.993	0.825
CMCC-ESM2_BARPA	[-]	12.2	11.7	12.7	-0.944	8.05	2.56	0.960	0.735	0.586	0.899	0.783
CMCC-ESM2_CCAM	[-]	13.6	13.5	12.7	0.780	7.05	2.29	0.958	0.764	0.655	0.715	0.771
CMCC-ESM2_CMIP6	[-]	13.1	13.1	12.0	1.05	6.29	1.87	0.951	0.746	0.750	0.990	0.836
CNRM-ESM2-1_CCAM	[-]	12.4	12.0	12.7	-0.691	6.57	1.69	0.966	0.778	0.776	0.813	0.822
CNRM-ESM2-1_CMIP6	[-]	10.8	10.8	11.0	-0.276	5.75	1.61	0.964	0.750	0.790	0.944	0.839
EC-Earth3_BARPA	[-]	11.2	10.6	12.7	-2.12	6.72	1.60	0.921	0.782	0.790	0.998	0.855
EC-Earth3_CCAM	[-]	11.9	11.4	12.7	-1.32	6.60	1.47	0.950	0.780	0.799	0.988	0.859
EC-Earth3_CMIP6	[-]	10.8	10.8	12.3	-1.55	9.05	1.60	0.934	0.672	0.777	0.982	0.807
ERA5_BARPA	[-]	13.3	13.0	12.7	0.369	5.53	1.36	0.975	0.808	0.826	0.989	0.881
ERA5_CCAM	[-]	13.1	12.7	12.7	0.0436	6.10	1.34	0.971	0.791	0.822	0.997	0.874
MPI-ESM1-2-HR_BARPA	[-]	12.5	12.1	12.7	-0.598	7.30	1.77	0.973	0.754	0.751	0.988	0.844
MPI-ESM1-2-HR_CMIP6	[-]	9.36	9.36	12.0	-2.63	7.81	2.24	0.884	0.698	0.670	0.959	0.782
NorESM2-MM_BARPA	[-]	13.9	13.5	12.7	0.862	7.54	2.57	0.953	0.749	0.599	0.873	0.785
NorESM2-MM_CCAM	[-]	13.9	13.5	12.7	0.850	7.20	2.13	0.961	0.759	0.674	0.940	0.818
NorESM2-MM_CMIP6	[-]	14.0	14.0	12.0	1.94	6.91	1.72	0.911	0.731	0.796	0.857	0.805

	Download Data	Period Mean (original grids) [%]	Model Period Mean (intersection) [%]	Benchmark Period Mean (intersection) [%]	Bias [%]	RMSE [%]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	11.8
ACCESS-CM2_BARPA	[-]	12.8	12.5	11.8	0.635	6.77	1.38	0.967	0.761	0.837	0.999	0.865
ACCESS-CM2_CCAM	[-]	12.6	12.1	11.8	0.284	6.17	1.70	0.970	0.780	0.746	0.925	0.840
ACCESS-CM2_CMIP6	[-]	12.3	12.3	11.3	1.05	7.48	1.54	0.919	0.679	0.787	0.987	0.810
ACCESS-ESM1-5_BARPA	[-]	11.5	11.1	11.8	-0.772	6.18	1.46	0.965	0.781	0.828	0.999	0.871
ACCESS-ESM1-5_CCAM	[-]	11.5	10.9	11.8	-0.980	6.32	1.78	0.957	0.779	0.757	0.978	0.850
ACCESS-ESM1-5_CMIP6	[-]	10.7	10.7	11.2	-0.543	8.24	1.61	0.946	0.651	0.774	0.984	0.801
CESM2_BARPA	[-]	12.6	12.0	11.8	0.203	6.19	1.81	0.970	0.779	0.748	0.992	0.854
CESM2_CCAM	[-]	12.2	11.6	11.8	-0.247	7.85	2.32	0.964	0.730	0.640	0.725	0.758
CESM2_CMIP6	[-]	11.7	11.7	11.4	0.274	6.69	2.45	0.971	0.718	0.600	0.956	0.793
CMCC-ESM2_BARPA	[-]	12.6	12.1	11.8	0.221	6.66	2.15	0.975	0.764	0.673	0.981	0.832
CMCC-ESM2_CCAM	[-]	13.7	13.4	11.8	1.55	6.24	1.60	0.934	0.784	0.778	0.993	0.855
CMCC-ESM2_CMIP6	[-]	11.7	11.7	11.4	0.234	5.87	1.00	0.951	0.750	0.897	0.816	0.833
CNRM-ESM2-1_CCAM	[-]	13.0	12.6	11.8	0.808	5.51	1.48	0.959	0.803	0.795	0.882	0.848
CNRM-ESM2-1_CMIP6	[-]	12.0	12.0	11.0	1.01	7.44	2.00	0.899	0.690	0.704	0.990	0.795
EC-Earth3_BARPA	[-]	12.2	11.6	11.8	-0.208	6.21	1.34	0.963	0.780	0.845	0.996	0.873
EC-Earth3_CCAM	[-]	12.3	11.9	11.8	0.0761	6.27	1.59	0.968	0.777	0.785	0.892	0.840
EC-Earth3_CMIP6	[-]	11.1	11.1	11.2	-0.0392	8.31	1.63	0.925	0.684	0.783	0.840	0.783
ERA5_BARPA	[-]	13.2	12.9	11.8	1.08	5.49	1.40	0.954	0.804	0.795	0.994	0.870
ERA5_CCAM	[-]	12.3	11.9	11.8	0.0610	5.68	1.62	0.972	0.796	0.774	0.967	0.861
MPI-ESM1-2-HR_BARPA	[-]	11.6	11.1	11.8	-0.739	5.88	1.47	0.963	0.791	0.802	0.989	0.867
MPI-ESM1-2-HR_CMIP6	[-]	10.5	10.5	11.1	-0.567	8.88	2.15	0.967	0.658	0.675	0.989	0.789
NorESM2-MM_BARPA	[-]	13.4	13.0	11.8	1.16	6.85	1.78	0.950	0.760	0.762	0.981	0.843
NorESM2-MM_CCAM	[-]	12.5	12.0	11.8	0.210	6.61	1.54	0.965	0.767	0.804	0.927	0.846
NorESM2-MM_CMIP6	[-]	12.4	12.4	11.4	1.01	7.09	1.82	0.950	0.707	0.753	0.778	0.779

	Download Data	Period Mean (original grids) [%]	Model Period Mean (intersection) [%]	Benchmark Period Mean (intersection) [%]	Bias [%]	RMSE [%]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	11.2
ACCESS-CM2_BARPA	[-]	10.8	9.83	11.2	-1.39	5.51	1.06	0.917	0.765	0.900	0.783	0.826
ACCESS-CM2_CCAM	[-]	12.2	11.0	11.2	-0.180	5.97	0.994	0.940	0.749	0.898	0.957	0.858
ACCESS-CM2_CMIP6	[-]	9.38	9.38	9.78	-0.400	7.16	0.591	0.942	0.647	0.962	0.703	0.780
ACCESS-ESM1-5_BARPA	[-]	10.9	10.1	11.2	-1.15	5.21	0.790	0.913	0.778	0.940	0.668	0.816
ACCESS-ESM1-5_CCAM	[-]	12.1	11.3	11.2	0.123	6.20	0.953	0.947	0.743	0.898	0.991	0.864
ACCESS-ESM1-5_CMIP6	[-]	8.82	8.82	8.71	0.111	5.92	0.987	0.956	0.667	0.909	0.998	0.840
CESM2_BARPA	[-]	11.0	9.64	11.2	-1.58	4.70	0.874	0.914	0.801	0.930	0.875	0.864
CESM2_CCAM	[-]	12.9	12.1	11.2	0.856	6.13	1.04	0.927	0.750	0.890	0.982	0.860
CESM2_CMIP6	[-]	9.18	9.18	9.71	-0.540	5.38	1.43	0.908	0.725	0.818	0.758	0.787
CMCC-ESM2_BARPA	[-]	10.9	9.55	11.2	-1.68	3.93	0.627	0.912	0.841	0.946	0.874	0.883
CMCC-ESM2_CCAM	[-]	13.5	12.5	11.2	1.30	5.73	0.938	0.921	0.769	0.903	0.989	0.870
CMCC-ESM2_CMIP6	[-]	8.13	8.13	9.71	-1.59	3.90	0.765	0.909	0.810	0.951	0.600	0.816
CNRM-ESM2-1_CCAM	[-]	13.5	12.3	11.2	1.11	5.57	0.881	0.917	0.766	0.930	0.935	0.863
CNRM-ESM2-1_CMIP6	[-]	9.68	9.68	8.97	0.710	5.43	0.983	0.903	0.724	0.937	0.986	0.855
EC-Earth3_BARPA	[-]	12.0	10.6	11.2	-0.593	4.75	0.864	0.952	0.794	0.914	0.996	0.890
EC-Earth3_CCAM	[-]	13.6	12.4	11.2	1.21	6.12	0.863	0.917	0.750	0.911	0.975	0.861
EC-Earth3_CMIP6	[-]	8.80	8.80	10.1	-1.30	4.32	0.807	0.927	0.813	0.933	0.994	0.896
ERA5_BARPA	[-]	11.7	10.7	11.2	-0.530	4.19	0.979	0.943	0.823	0.898	0.824	0.862
ERA5_CCAM	[-]	13.2	12.3	11.2	1.06	5.19	0.951	0.932	0.790	0.906	0.859	0.856
MPI-ESM1-2-HR_BARPA	[-]	11.1	9.59	11.2	-1.63	5.06	0.690	0.915	0.791	0.940	0.944	0.876
MPI-ESM1-2-HR_CMIP6	[-]	7.00	7.00	9.78	-2.78	8.16	0.460	0.843	0.693	0.970	0.976	0.835
NorESM2-MM_BARPA	[-]	11.7	10.9	11.2	-0.311	4.70	0.753	0.944	0.802	0.943	0.900	0.878
NorESM2-MM_CCAM	[-]	13.6	12.9	11.2	1.67	5.32	0.847	0.910	0.798	0.906	0.944	0.871
NorESM2-MM_CMIP6	[-]	9.99	9.99	9.71	0.277	3.36	1.44	0.932	0.811	0.848	0.915	0.863

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

Data Information

Mean State
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Title:: ERA5 single-levels reanalysis mean_total_precipitation_rate 19790101-19790131

History:: Thu Sep 19 18:30:32 2024: ncatted -a missing_value,R95pTOT,d,, /g/data/xv83/users/bxn599/ACS/icclim_indices_acs/era5/indices/none/none/AUS-25/ECMWF/ERA5/historical/r1i1p1f1/none/none/climdex/R95pTOT/v20240411/R95pTOT_AUS-25_ERA5_historical_r1i1p1f1_ECMWF_none_none_mon_19850101-20141231.nc.tmp Wed Aug 28 15:20:46 2024: cdo -f nc4c -b f32 -z zip_1 --shuffle setmissval,1.e+20 /g/data/xv83/users/bxn599/ACS/icclim_indices_acs/era5/indices/none/none/AUS-25/ECMWF/ERA5/historical/r1i1p1f1/none/none/climdex/R95pTOT/v20240411/R95pTOT_AUS-25_ERA5_historical_r1i1p1f1_ECMWF_none_none_mon_19850101-20141231.nc /g/data/xv83/users/bxn599/ACS/icclim_indices_acs/era5/indices/none/none/AUS-25/ECMWF/ERA5/historical/r1i1p1f1/none/none/climdex/R95pTOT/v20240411/R95pTOT_AUS-25_ERA5_historical_r1i1p1f1_ECMWF_none_none_mon_19850101-20141231_compressed.nc Tue May 14 22:58:17 2024: /g/data/xv83/users/bxn599/miniconda3/envs/icclim/bin/python /g/data/xv83/users/bxn599/ACS/indices/run_icclim.py --slice_mode month --verbose --start_date 1985-01-01 --end_date 2014-12-31 --base_period 1985-01-01 2014-12-31 --input_files /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19790101-19790131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19790201-19790228.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19790301-19790331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19790401-19790430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19790501-19790531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19790601-19790630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19790701-19790731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19790801-19790831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19790901-19790930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19791001-19791031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19791101-19791130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19791201-19791231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19800101-19800131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19800201-19800229.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19800301-19800331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19800401-19800430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19800501-19800531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19800601-19800630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19800701-19800731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19800801-19800831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19800901-19800930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19801001-19801031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19801101-19801130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19801201-19801231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19810101-19810131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19810201-19810228.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19810301-19810331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19810401-19810430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19810501-19810531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19810601-19810630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19810701-19810731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19810801-19810831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19810901-19810930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19811001-19811031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19811101-19811130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19811201-19811231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19820101-19820131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19820201-19820228.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19820301-19820331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19820401-19820430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19820501-19820531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19820601-19820630.nc 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/g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19830601-19830630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19830701-19830731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19830801-19830831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19830901-19830930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19831001-19831031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19831101-19831130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19831201-19831231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19840101-19840131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19840201-19840229.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19840301-19840331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19840401-19840430.nc 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/g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19850401-19850430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19850501-19850531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19850601-19850630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19850701-19850731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19850801-19850831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19850901-19850930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19851001-19851031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19851101-19851130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19851201-19851231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19860101-19860131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19860201-19860228.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19860301-19860331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19860401-19860430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19860501-19860531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19860601-19860630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19860701-19860731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19860801-19860831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19860901-19860930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19861001-19861031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19861101-19861130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19861201-19861231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19870101-19870131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19870201-19870228.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19870301-19870331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19870401-19870430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19870501-19870531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19870601-19870630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19870701-19870731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19870801-19870831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19870901-19870930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19871001-19871031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19871101-19871130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19871201-19871231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19880101-19880131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19880201-19880229.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19880301-19880331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19880401-19880430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19880501-19880531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19880601-19880630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19880701-19880731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19880801-19880831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19880901-19880930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19881001-19881031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19881101-19881130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19881201-19881231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19890101-19890131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19890201-19890228.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19890301-19890331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19890401-19890430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19890501-19890531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19890601-19890630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19890701-19890731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19890801-19890831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19890901-19890930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19891001-19891031.nc 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/g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20211201-20211231.nc --variable mtpr --lat_bnds -54.0 14.0 --lon_bnds 88.0 208.0 --sub_daily_agg mean --hshift --drop_time_bounds R95pTOT /g/data/xv83/users/bxn599/ACS/icclim_indices_acs/era5/indices/none/none/AUS-25/ECMWF/ERA5/historical/r1i1p1f1/none/none/climdex/R95pTOT/v20240411/R95pTOT_AUS-25_ERA5_historical_r1i1p1f1_ECMWF_none_none_mon_19850101-20141231.nc

References:: ATBD of the ECA&D indices calculation (https://knmi-ecad-assets-prd.s3.amazonaws.com/documents/atbd.pdf)

Conventions:: CF-1.6

Cdi:: Climate Data Interface version 2.4.0 (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

Icclim_version:: 6.5.0

Project_id:: indices

Frequency:: climdex

Variable_id:: R95pTOT

Cdo:: Climate Data Operators version 2.4.0 (https://mpimet.mpg.de/cdo)

Nco:: netCDF Operators version 5.2.1 (Homepage = http://nco.sf.net, Code = http://github.com/nco/nco, Citation = 10.1016/j.envsoft.2008.03.004)

Mean State

Temporally integrated period mean

Spatially integrated regional mean

All Models

Data Information