Mean State

Mean State
All Models
Data Information

	Download Data	Period Mean (original grids) [d]	Model Period Mean (intersection) [d]	Benchmark Period Mean (intersection) [d]	Model Period Mean (complement) [d]	Bias [d]	RMSE [d]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	1.24
ACCESS-CM2_BARPA	[-]	1.28	1.34	1.24	1.06	0.107	0.564	1.12	0.856	0.759	0.903	0.977	0.851
ACCESS-CM2_CCAM	[-]	1.21	1.27	1.24	1.02	0.0275	0.621	1.09	0.829	0.748	0.906	0.863	0.819
ACCESS-CM2_CMIP6	[-]	1.15	1.17	1.22	0.889	-0.0419	0.701	1.02	0.800	0.692	0.899	0.754	0.768
ACCESS-ESM1-5_BARPA	[-]	1.23	1.30	1.24	0.953	0.0640	0.515	0.959	0.874	0.768	0.916	0.984	0.862
ACCESS-ESM1-5_CCAM	[-]	1.27	1.36	1.24	0.922	0.122	0.618	1.10	0.843	0.740	0.906	0.979	0.841
ACCESS-ESM1-5_CMIP6	[-]	1.33	1.37	1.19	0.883	0.174	0.790	1.22	0.812	0.644	0.882	0.970	0.790
CESM2_BARPA	[-]	1.02	1.08	1.24	0.759	-0.154	0.594	1.18	0.848	0.742	0.895	0.959	0.838
CESM2_CCAM	[-]	0.779	0.858	1.24	0.481	-0.380	0.764	1.70	0.793	0.701	0.838	0.936	0.794
CESM2_CMIP6	[-]	1.32	1.38	1.20	0.796	0.181	0.739	0.969	0.806	0.686	0.905	0.964	0.809
CMCC-ESM2_BARPA	[-]	0.947	0.997	1.24	0.748	-0.239	0.675	1.54	0.839	0.717	0.865	0.935	0.814
CMCC-ESM2_CCAM	[-]	1.45	1.51	1.24	1.25	0.270	0.676	1.25	0.798	0.757	0.892	0.915	0.824
CMCC-ESM2_CMIP6	[-]	2.00	2.04	1.20	1.71	0.836	1.52	0.921	0.624	0.537	0.914	0.849	0.692
CNRM-ESM2-1_CCAM	[-]	1.13	1.19	1.24	0.893	-0.0461	0.521	1.02	0.871	0.772	0.906	0.888	0.842
CNRM-ESM2-1_CMIP6	[-]	0.918	0.955	1.20	0.539	-0.242	0.687	1.25	0.818	0.699	0.881	0.891	0.798
EC-Earth3_BARPA	[-]	0.855	0.933	1.24	0.549	-0.304	0.523	1.04	0.818	0.798	0.908	0.977	0.860
EC-Earth3_CCAM	[-]	1.10	1.19	1.24	0.771	-0.0485	0.521	0.975	0.893	0.763	0.903	0.988	0.862
EC-Earth3_CMIP6	[-]	1.20	1.27	1.22	0.736	0.0507	0.901	1.15	0.785	0.641	0.869	0.912	0.770
ERA5_BARPA	[-]	1.25	1.31	1.24	0.972	0.0714	0.519	1.33	0.891	0.769	0.879	0.981	0.858
ERA5_CCAM	[-]	1.22	1.32	1.24	0.860	0.0727	0.412	0.979	0.880	0.825	0.907	0.971	0.882
MPI-ESM1-2-HR_BARPA	[-]	0.840	0.893	1.24	0.628	-0.343	0.596	1.12	0.794	0.775	0.901	0.959	0.841
MPI-ESM1-2-HR_CMIP6	[-]	0.650	0.680	1.23	0.435	-0.550	0.796	1.08	0.696	0.736	0.900	0.798	0.773
NorESM2-MM_BARPA	[-]	1.34	1.40	1.24	1.14	0.159	0.706	1.75	0.853	0.700	0.839	0.976	0.814
NorESM2-MM_CCAM	[-]	1.60	1.65	1.24	1.38	0.416	0.734	1.22	0.772	0.756	0.894	0.949	0.826
NorESM2-MM_CMIP6	[-]	1.87	1.93	1.20	1.34	0.736	1.05	1.27	0.656	0.686	0.884	0.957	0.774

	Download Data	Period Mean (original grids) [d]	Model Period Mean (intersection) [d]	Benchmark Period Mean (intersection) [d]	Bias [d]	RMSE [d]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	1.51
ACCESS-CM2_BARPA	[-]	1.80	1.80	1.51	0.286	0.527	0.761	0.821	0.759	0.939	0.978	0.862
ACCESS-CM2_CCAM	[-]	1.83	1.83	1.51	0.317	0.570	0.368	0.806	0.743	0.968	0.941	0.851
ACCESS-CM2_CMIP6	[-]	1.90	1.90	1.49	0.412	0.648	0.595	0.743	0.692	0.961	0.954	0.821
ACCESS-ESM1-5_BARPA	[-]	1.80	1.80	1.51	0.288	0.614	0.621	0.818	0.712	0.949	0.994	0.851
ACCESS-ESM1-5_CCAM	[-]	2.08	2.08	1.51	0.563	0.852	0.368	0.694	0.663	0.967	0.939	0.799
ACCESS-ESM1-5_CMIP6	[-]	2.06	2.06	1.51	0.545	1.06	0.786	0.688	0.527	0.949	0.889	0.737
CESM2_BARPA	[-]	1.62	1.62	1.51	0.107	0.462	0.311	0.901	0.757	0.970	0.993	0.889
CESM2_CCAM	[-]	1.05	1.05	1.51	-0.462	0.651	1.44	0.736	0.746	0.840	0.954	0.811
CESM2_CMIP6	[-]	2.22	2.22	1.51	0.714	1.04	0.130	0.603	0.589	0.984	0.998	0.771
CMCC-ESM2_BARPA	[-]	1.44	1.44	1.51	-0.0767	0.508	0.728	0.912	0.730	0.932	0.995	0.874
CMCC-ESM2_CCAM	[-]	2.03	2.03	1.51	0.517	0.820	0.489	0.717	0.664	0.959	0.936	0.802
CMCC-ESM2_CMIP6	[-]	2.04	2.04	1.51	0.526	0.956	0.762	0.699	0.574	0.950	0.868	0.751
CNRM-ESM2-1_CCAM	[-]	1.52	1.52	1.51	0.0104	0.443	0.835	0.928	0.758	0.936	0.990	0.887
CNRM-ESM2-1_CMIP6	[-]	1.45	1.45	1.50	-0.0562	0.531	1.36	0.858	0.715	0.867	0.770	0.793
EC-Earth3_BARPA	[-]	0.986	0.986	1.51	-0.529	0.616	0.681	0.702	0.816	0.950	0.859	0.830
EC-Earth3_CCAM	[-]	1.30	1.30	1.51	-0.212	0.532	0.427	0.862	0.735	0.961	0.995	0.871
EC-Earth3_CMIP6	[-]	0.970	0.970	1.51	-0.540	0.645	1.02	0.682	0.792	0.908	0.908	0.819
ERA5_BARPA	[-]	1.60	1.60	1.52	0.0812	0.444	0.639	0.910	0.766	0.944	0.997	0.889
ERA5_CCAM	[-]	1.81	1.81	1.52	0.298	0.484	0.678	0.819	0.790	0.938	0.986	0.873
MPI-ESM1-2-HR_BARPA	[-]	0.891	0.891	1.51	-0.623	0.719	1.48	0.659	0.792	0.831	0.802	0.773
MPI-ESM1-2-HR_CMIP6	[-]	0.716	0.716	1.53	-0.811	0.876	1.26	0.559	0.793	0.883	0.703	0.741
NorESM2-MM_BARPA	[-]	1.88	1.88	1.51	0.361	0.795	1.69	0.785	0.633	0.790	0.969	0.776
NorESM2-MM_CCAM	[-]	2.02	2.02	1.51	0.509	0.702	1.13	0.721	0.741	0.870	0.996	0.822
NorESM2-MM_CMIP6	[-]	2.56	2.56	1.51	1.05	1.21	1.01	0.483	0.653	0.916	0.892	0.727

	Download Data	Period Mean (original grids) [d]	Model Period Mean (intersection) [d]	Benchmark Period Mean (intersection) [d]	Bias [d]	RMSE [d]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	1.95
ACCESS-CM2_BARPA	[-]	2.05	2.05	1.96	0.0918	0.642	0.728	0.857	0.754	0.920	0.990	0.864
ACCESS-CM2_CCAM	[-]	1.74	1.74	1.96	-0.212	0.622	0.825	0.849	0.770	0.906	0.943	0.845
ACCESS-CM2_CMIP6	[-]	1.65	1.65	2.11	-0.464	0.891	0.571	0.740	0.694	0.949	0.760	0.746
ACCESS-ESM1-5_BARPA	[-]	2.09	2.09	1.96	0.129	0.668	0.781	0.851	0.747	0.906	0.985	0.855
ACCESS-ESM1-5_CCAM	[-]	2.26	2.26	1.96	0.303	0.701	0.825	0.828	0.758	0.912	0.979	0.861
ACCESS-ESM1-5_CMIP6	[-]	2.03	2.03	1.87	0.161	0.938	1.09	0.829	0.599	0.901	0.868	0.790
CESM2_BARPA	[-]	1.96	1.96	1.96	0.00485	0.696	0.942	0.871	0.726	0.900	0.946	0.846
CESM2_CCAM	[-]	1.58	1.58	1.96	-0.382	0.720	1.30	0.820	0.750	0.849	0.988	0.846
CESM2_CMIP6	[-]	2.33	2.33	1.93	0.394	0.778	0.684	0.803	0.692	0.920	0.997	0.835
CMCC-ESM2_BARPA	[-]	1.65	1.65	1.96	-0.309	0.818	0.971	0.806	0.714	0.872	0.891	0.817
CMCC-ESM2_CCAM	[-]	1.98	1.98	1.96	0.0227	0.569	0.845	0.860	0.794	0.901	0.946	0.870
CMCC-ESM2_CMIP6	[-]	2.17	2.17	1.93	0.232	0.835	0.968	0.864	0.655	0.899	0.997	0.838
CNRM-ESM2-1_CCAM	[-]	1.77	1.77	1.96	-0.183	0.573	0.863	0.874	0.777	0.911	0.924	0.863
CNRM-ESM2-1_CMIP6	[-]	2.04	2.04	1.95	0.0877	0.649	1.13	0.889	0.719	0.886	0.986	0.846
EC-Earth3_BARPA	[-]	1.45	1.45	1.96	-0.513	0.761	0.827	0.748	0.787	0.930	0.949	0.843
EC-Earth3_CCAM	[-]	1.68	1.68	1.96	-0.278	0.556	0.800	0.853	0.803	0.894	0.995	0.877
EC-Earth3_CMIP6	[-]	1.44	1.44	1.95	-0.506	0.760	0.990	0.755	0.762	0.898	0.909	0.836
ERA5_BARPA	[-]	1.95	1.95	1.97	-0.0154	0.591	0.998	0.880	0.767	0.864	0.989	0.860
ERA5_CCAM	[-]	2.02	2.02	1.97	0.0576	0.429	0.838	0.898	0.834	0.897	0.987	0.892
MPI-ESM1-2-HR_BARPA	[-]	1.17	1.17	1.96	-0.789	0.932	0.934	0.668	0.785	0.903	0.965	0.819
MPI-ESM1-2-HR_CMIP6	[-]	0.736	0.736	1.98	-1.24	1.36	0.984	0.504	0.739	0.908	0.887	0.731
NorESM2-MM_BARPA	[-]	2.12	2.12	1.96	0.162	0.794	0.988	0.859	0.694	0.893	0.970	0.837
NorESM2-MM_CCAM	[-]	1.95	1.95	1.96	-0.00490	0.677	1.06	0.839	0.754	0.890	0.606	0.782
NorESM2-MM_CMIP6	[-]	2.66	2.66	1.93	0.723	1.03	1.16	0.691	0.683	0.887	0.707	0.760

	Download Data	Period Mean (original grids) [d]	Model Period Mean (intersection) [d]	Benchmark Period Mean (intersection) [d]	Model Period Mean (complement) [d]	Bias [d]	RMSE [d]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	2.01
ACCESS-CM2_BARPA	[-]	1.98	1.94	2.03	2.52	-0.0883	0.794	0.565	0.921	0.791	0.965	0.987	0.893
ACCESS-CM2_CCAM	[-]	1.71	1.67	2.02	2.12	-0.348	0.967	0.527	0.877	0.757	0.963	0.906	0.842
ACCESS-CM2_CMIP6	[-]	1.66	1.66	2.14		-0.473	1.26	0.492	0.855	0.689	0.959	0.797	0.774
ACCESS-ESM1-5_BARPA	[-]	2.07	2.04	2.03	2.50	0.0131	0.651	0.518	0.933	0.827	0.966	0.986	0.920
ACCESS-ESM1-5_CCAM	[-]	2.11	2.08	2.02	2.49	0.0551	0.936	0.494	0.912	0.755	0.967	0.969	0.892
ACCESS-ESM1-5_CMIP6	[-]	2.22	2.22	2.06		0.162	1.10	0.452	0.907	0.709	0.972	0.988	0.875
CESM2_BARPA	[-]	1.47	1.45	2.03	1.77	-0.580	1.04	0.687	0.829	0.760	0.950	0.915	0.849
CESM2_CCAM	[-]	1.27	1.23	2.02	1.80	-0.789	1.44	0.541	0.776	0.681	0.963	0.952	0.833
CESM2_CMIP6	[-]	2.18	2.18	2.06		0.127	1.10	0.578	0.903	0.715	0.964	0.956	0.870
CMCC-ESM2_BARPA	[-]	1.41	1.38	2.03	1.78	-0.647	1.21	0.526	0.811	0.725	0.966	0.957	0.849
CMCC-ESM2_CCAM	[-]	1.98	1.94	2.02	2.58	-0.0858	0.714	0.488	0.907	0.820	0.969	0.983	0.906
CMCC-ESM2_CMIP6	[-]	3.72	3.72	2.06		1.66	2.77	0.569	0.604	0.507	0.965	0.851	0.729
CNRM-ESM2-1_CCAM	[-]	1.76	1.72	2.02	2.26	-0.297	0.796	0.459	0.897	0.797	0.969	0.956	0.892
CNRM-ESM2-1_CMIP6	[-]	1.18	1.18	2.07		-0.892	1.52	0.455	0.743	0.678	0.967	0.939	0.825
EC-Earth3_BARPA	[-]	1.69	1.65	2.03	2.28	-0.383	0.738	0.517	0.881	0.826	0.965	0.985	0.907
EC-Earth3_CCAM	[-]	2.10	2.04	2.02	2.94	0.0138	0.824	0.462	0.924	0.781	0.970	0.947	0.901
EC-Earth3_CMIP6	[-]	2.77	2.75	2.06	4.33	0.691	1.81	0.743	0.789	0.590	0.936	0.799	0.782
ERA5_BARPA	[-]	2.05	2.02	2.05	2.49	-0.0247	0.783	0.679	0.941	0.790	0.952	0.994	0.907
ERA5_CCAM	[-]	2.04	1.99	2.04	2.60	-0.0462	0.523	0.484	0.941	0.859	0.967	0.996	0.934
MPI-ESM1-2-HR_BARPA	[-]	1.45	1.41	2.03	2.04	-0.623	0.983	0.511	0.818	0.789	0.968	0.978	0.873
MPI-ESM1-2-HR_CMIP6	[-]	1.23	1.22	2.06	2.45	-0.839	1.32	0.551	0.754	0.729	0.966	0.954	0.827
NorESM2-MM_BARPA	[-]	1.97	1.95	2.03	2.39	-0.0844	0.990	0.568	0.939	0.736	0.959	0.991	0.894
NorESM2-MM_CCAM	[-]	2.44	2.41	2.02	2.86	0.386	0.824	0.458	0.877	0.808	0.970	0.988	0.898
NorESM2-MM_CMIP6	[-]	3.06	3.06	2.06		1.01	1.46	0.610	0.736	0.719	0.960	0.987	0.833

	Download Data	Period Mean (original grids) [d]	Model Period Mean (intersection) [d]	Benchmark Period Mean (intersection) [d]	Bias [d]	RMSE [d]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	1.10
ACCESS-CM2_BARPA	[-]	1.34	1.34	1.10	0.241	0.505	2.75	0.787	0.704	0.664	0.935	0.765
ACCESS-CM2_CCAM	[-]	1.43	1.43	1.10	0.330	0.548	2.69	0.744	0.718	0.664	0.988	0.772
ACCESS-CM2_CMIP6	[-]	1.36	1.36	1.11	0.250	0.632	3.19	0.700	0.638	0.554	0.893	0.690
ACCESS-ESM1-5_BARPA	[-]	1.19	1.19	1.10	0.0887	0.462	1.90	0.854	0.696	0.754	0.971	0.805
ACCESS-ESM1-5_CCAM	[-]	1.24	1.24	1.10	0.146	0.518	2.58	0.816	0.682	0.642	0.981	0.769
ACCESS-ESM1-5_CMIP6	[-]	1.21	1.21	1.15	0.0638	0.853	3.07	0.650	0.496	0.352	0.717	0.547
CESM2_BARPA	[-]	1.18	1.18	1.10	0.0791	0.435	1.65	0.866	0.710	0.764	0.942	0.808
CESM2_CCAM	[-]	0.763	0.763	1.10	-0.335	0.509	2.23	0.729	0.745	0.710	0.920	0.772
CESM2_CMIP6	[-]	1.41	1.41	1.12	0.290	0.752	2.53	0.687	0.576	0.487	0.886	0.650
CMCC-ESM2_BARPA	[-]	1.12	1.12	1.10	0.0181	0.429	1.88	0.883	0.711	0.757	0.981	0.819
CMCC-ESM2_CCAM	[-]	1.70	1.70	1.10	0.599	0.775	2.07	0.617	0.681	0.678	0.975	0.732
CMCC-ESM2_CMIP6	[-]	1.43	1.43	1.12	0.304	0.728	2.15	0.673	0.599	0.589	0.829	0.664
CNRM-ESM2-1_CCAM	[-]	1.04	1.04	1.10	-0.0538	0.402	1.87	0.872	0.732	0.698	0.943	0.802
CNRM-ESM2-1_CMIP6	[-]	1.06	1.06	1.10	-0.0393	0.399	2.48	0.868	0.702	0.677	0.987	0.796
EC-Earth3_BARPA	[-]	0.801	0.801	1.10	-0.301	0.481	2.11	0.751	0.741	0.704	0.948	0.781
EC-Earth3_CCAM	[-]	1.01	1.01	1.10	-0.0876	0.510	2.48	0.855	0.666	0.606	0.914	0.750
EC-Earth3_CMIP6	[-]	0.691	0.691	1.13	-0.435	0.668	3.16	0.651	0.645	0.440	0.550	0.580
ERA5_BARPA	[-]	1.30	1.30	1.11	0.199	0.423	1.60	0.805	0.763	0.775	0.976	0.822
ERA5_CCAM	[-]	1.39	1.39	1.10	0.291	0.474	1.90	0.762	0.766	0.681	0.984	0.795
MPI-ESM1-2-HR_BARPA	[-]	0.962	0.962	1.10	-0.140	0.448	2.43	0.821	0.720	0.688	0.971	0.791
MPI-ESM1-2-HR_CMIP6	[-]	0.636	0.636	1.08	-0.445	0.552	3.03	0.639	0.753	0.596	0.764	0.695
NorESM2-MM_BARPA	[-]	1.39	1.39	1.10	0.293	0.567	2.38	0.763	0.672	0.675	0.919	0.748
NorESM2-MM_CCAM	[-]	1.58	1.58	1.10	0.480	0.663	2.42	0.675	0.719	0.693	0.983	0.762
NorESM2-MM_CMIP6	[-]	1.64	1.64	1.12	0.515	0.764	2.56	0.620	0.689	0.548	0.830	0.673

	Download Data	Period Mean (original grids) [d]	Model Period Mean (intersection) [d]	Benchmark Period Mean (intersection) [d]	Model Period Mean (complement) [d]	Bias [d]	RMSE [d]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	0.688
ACCESS-CM2_BARPA	[-]	0.925	0.909	0.691	0.957	0.219	0.404	1.06	0.836	0.770	0.898	0.984	0.847
ACCESS-CM2_CCAM	[-]	0.928	0.922	0.689	0.939	0.233	0.428	1.17	0.822	0.764	0.885	0.987	0.849
ACCESS-CM2_CMIP6	[-]	0.889	0.889	0.701	0.889	0.188	0.424	0.911	0.840	0.734	0.916	0.972	0.847
ACCESS-ESM1-5_BARPA	[-]	0.831	0.825	0.691	0.846	0.134	0.375	0.902	0.875	0.763	0.923	0.954	0.871
ACCESS-ESM1-5_CCAM	[-]	0.850	0.876	0.689	0.799	0.186	0.435	1.22	0.818	0.755	0.877	0.837	0.830
ACCESS-ESM1-5_CMIP6	[-]	0.933	0.941	0.688	0.883	0.252	0.545	1.11	0.795	0.665	0.905	0.937	0.815
CESM2_BARPA	[-]	0.683	0.681	0.691	0.687	-0.00987	0.372	1.33	0.898	0.755	0.860	0.956	0.849
CESM2_CCAM	[-]	0.435	0.464	0.689	0.379	-0.225	0.504	2.28	0.825	0.696	0.680	0.729	0.733
CESM2_CMIP6	[-]	0.920	0.947	0.699	0.796	0.248	0.558	0.904	0.779	0.681	0.926	0.865	0.798
CMCC-ESM2_BARPA	[-]	0.636	0.617	0.691	0.675	-0.0736	0.444	2.03	0.899	0.709	0.750	0.789	0.772
CMCC-ESM2_CCAM	[-]	1.13	1.12	0.689	1.15	0.426	0.626	1.49	0.714	0.707	0.839	0.979	0.795
CMCC-ESM2_CMIP6	[-]	1.61	1.59	0.699	1.71	0.892	1.43	0.811	0.487	0.417	0.936	0.426	0.563
CNRM-ESM2-1_CCAM	[-]	0.819	0.832	0.689	0.792	0.143	0.352	1.03	0.881	0.782	0.903	0.988	0.876
CNRM-ESM2-1_CMIP6	[-]	0.596	0.607	0.701	0.539	-0.0940	0.411	1.37	0.877	0.724	0.831	0.606	0.769
EC-Earth3_BARPA	[-]	0.456	0.471	0.691	0.426	-0.220	0.346	1.03	0.826	0.811	0.902	0.852	0.841
EC-Earth3_CCAM	[-]	0.649	0.670	0.689	0.606	-0.0190	0.341	0.921	0.914	0.775	0.909	0.988	0.882
EC-Earth3_CMIP6	[-]	0.724	0.739	0.698	0.673	0.0410	0.582	0.846	0.862	0.640	0.914	0.852	0.812
ERA5_BARPA	[-]	0.847	0.838	0.695	0.865	0.143	0.386	1.60	0.885	0.756	0.817	0.977	0.844
ERA5_CCAM	[-]	0.788	0.820	0.694	0.726	0.126	0.309	1.07	0.878	0.815	0.884	0.974	0.883
MPI-ESM1-2-HR_BARPA	[-]	0.517	0.511	0.691	0.530	-0.180	0.357	1.11	0.846	0.792	0.892	0.668	0.797
MPI-ESM1-2-HR_CMIP6	[-]	0.415	0.416	0.701	0.413	-0.285	0.450	0.976	0.774	0.762	0.904	0.882	0.821
NorESM2-MM_BARPA	[-]	0.990	0.961	0.691	1.05	0.270	0.577	2.32	0.807	0.667	0.693	0.977	0.775
NorESM2-MM_CCAM	[-]	1.26	1.26	0.689	1.27	0.575	0.727	1.40	0.636	0.704	0.848	0.973	0.774
NorESM2-MM_CMIP6	[-]	1.48	1.51	0.699	1.34	0.809	0.995	1.42	0.518	0.621	0.847	0.694	0.685

	Download Data	Period Mean (original grids) [d]	Model Period Mean (intersection) [d]	Benchmark Period Mean (intersection) [d]	Bias [d]	RMSE [d]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	2.43
ACCESS-CM2_BARPA	[-]	2.55	2.55	2.44	0.107	0.869	1.68	0.765	0.711	0.836	0.925	0.788
ACCESS-CM2_CCAM	[-]	2.19	2.19	2.44	-0.249	0.772	1.62	0.780	0.737	0.842	0.941	0.801
ACCESS-CM2_CMIP6	[-]	1.69	1.69	2.34	-0.652	0.961	2.27	0.664	0.689	0.714	0.712	0.690
ACCESS-ESM1-5_BARPA	[-]	2.36	2.36	2.44	-0.0801	0.953	1.62	0.745	0.672	0.829	0.906	0.779
ACCESS-ESM1-5_CCAM	[-]	2.05	2.05	2.44	-0.385	0.814	1.56	0.782	0.714	0.852	0.979	0.798
ACCESS-ESM1-5_CMIP6	[-]	1.32	1.32	2.28	-0.962	1.33	1.41	0.550	0.617	0.875	0.179	0.663
CESM2_BARPA	[-]	2.49	2.49	2.44	0.0478	0.941	1.29	0.769	0.665	0.869	0.934	0.791
CESM2_CCAM	[-]	1.89	1.89	2.44	-0.548	1.08	1.73	0.720	0.671	0.817	0.969	0.766
CESM2_CMIP6	[-]	1.74	1.74	2.24	-0.503	0.859	1.78	0.708	0.693	0.820	0.650	0.668
CMCC-ESM2_BARPA	[-]	2.29	2.29	2.44	-0.151	0.829	1.34	0.783	0.726	0.871	0.983	0.824
CMCC-ESM2_CCAM	[-]	2.52	2.52	2.44	0.0840	0.875	1.37	0.738	0.732	0.861	0.856	0.796
CMCC-ESM2_CMIP6	[-]	1.75	1.75	2.24	-0.489	1.02	1.47	0.628	0.693	0.858	0.509	0.641
CNRM-ESM2-1_CCAM	[-]	1.98	1.98	2.44	-0.458	0.839	1.86	0.757	0.720	0.776	0.951	0.778
CNRM-ESM2-1_CMIP6	[-]	2.39	2.39	2.65	-0.264	0.837	1.47	0.752	0.703	0.852	0.957	0.705
EC-Earth3_BARPA	[-]	2.06	2.06	2.44	-0.381	0.908	1.72	0.746	0.707	0.811	0.982	0.796
EC-Earth3_CCAM	[-]	2.14	2.14	2.44	-0.298	0.777	1.74	0.775	0.748	0.808	0.926	0.792
EC-Earth3_CMIP6	[-]	1.61	1.61	2.34	-0.734	1.09	2.38	0.628	0.658	0.705	0.899	0.704
ERA5_BARPA	[-]	2.40	2.40	2.45	-0.0480	0.705	1.45	0.801	0.768	0.831	0.988	0.833
ERA5_CCAM	[-]	2.16	2.16	2.44	-0.276	0.756	1.15	0.729	0.797	0.881	0.750	0.808
MPI-ESM1-2-HR_BARPA	[-]	2.42	2.42	2.44	-0.0276	0.934	1.47	0.721	0.707	0.856	0.854	0.783
MPI-ESM1-2-HR_CMIP6	[-]	1.31	1.31	2.61	-1.30	1.40	2.11	0.464	0.752	0.745	0.616	0.561
NorESM2-MM_BARPA	[-]	2.60	2.60	2.44	0.154	0.841	1.27	0.776	0.716	0.882	0.975	0.813
NorESM2-MM_CCAM	[-]	2.11	2.11	2.44	-0.328	0.789	1.38	0.753	0.749	0.870	0.943	0.809
NorESM2-MM_CMIP6	[-]	1.86	1.86	2.24	-0.377	0.752	1.47	0.743	0.741	0.867	0.476	0.721

	Download Data	Period Mean (original grids) [d]	Model Period Mean (intersection) [d]	Benchmark Period Mean (intersection) [d]	Model Period Mean (complement) [d]	Bias [d]	RMSE [d]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	0.905
ACCESS-CM2_BARPA	[-]	0.809	0.809	0.897	0.726	-0.0880	0.560	1.94	0.806	0.650	0.757	0.678	0.729
ACCESS-CM2_CCAM	[-]	0.860	0.861	0.901	0.713	-0.0407	0.412	1.20	0.844	0.736	0.886	0.728	0.802
ACCESS-CM2_CMIP6	[-]	0.646	0.646	0.818		-0.172	0.588	1.73	0.784	0.566	0.723	0.299	0.654
ACCESS-ESM1-5_BARPA	[-]	0.633	0.633	0.897	0.590	-0.264	0.558	1.91	0.765	0.669	0.776	0.465	0.700
ACCESS-ESM1-5_CCAM	[-]	0.631	0.632	0.901	0.463	-0.269	0.468	1.18	0.776	0.730	0.882	0.538	0.741
ACCESS-ESM1-5_CMIP6	[-]	0.563	0.563	0.905		-0.343	0.770	3.77	0.705	0.519	0.431	0.215	0.474
CESM2_BARPA	[-]	0.659	0.660	0.897	0.489	-0.237	0.515	2.08	0.785	0.689	0.741	0.772	0.749
CESM2_CCAM	[-]	0.823	0.825	0.901	0.421	-0.0758	0.519	1.26	0.873	0.665	0.879	0.989	0.827
CESM2_CMIP6	[-]	0.590	0.590	0.900		-0.309	0.565	1.80	0.705	0.669	0.777	0.515	0.650
CMCC-ESM2_BARPA	[-]	0.642	0.643	0.897	0.506	-0.254	0.545	2.13	0.772	0.675	0.732	0.597	0.711
CMCC-ESM2_CCAM	[-]	1.14	1.14	0.901	0.984	0.242	0.540	1.97	0.761	0.716	0.775	0.728	0.741
CMCC-ESM2_CMIP6	[-]	0.770	0.770	0.900		-0.130	0.519	1.88	0.783	0.666	0.765	0.440	0.673
CNRM-ESM2-1_CCAM	[-]	0.910	0.912	0.901	0.740	0.0103	0.426	1.71	0.839	0.729	0.811	0.749	0.786
CNRM-ESM2-1_CMIP6	[-]	0.949	0.949	0.862		0.0861	0.465	1.26	0.836	0.658	0.877	0.977	0.795
EC-Earth3_BARPA	[-]	0.640	0.641	0.897	0.410	-0.256	0.504	1.66	0.773	0.706	0.810	0.847	0.767
EC-Earth3_CCAM	[-]	0.925	0.928	0.901	0.539	0.0263	0.449	1.43	0.879	0.703	0.850	0.987	0.820
EC-Earth3_CMIP6	[-]	0.622	0.622	0.895		-0.273	0.633	2.42	0.764	0.603	0.686	0.800	0.681
ERA5_BARPA	[-]	0.850	0.851	0.895	0.748	-0.0445	0.458	2.10	0.816	0.713	0.737	0.680	0.747
ERA5_CCAM	[-]	0.846	0.847	0.899	0.582	-0.0520	0.350	1.31	0.850	0.782	0.864	0.760	0.816
MPI-ESM1-2-HR_BARPA	[-]	0.635	0.636	0.897	0.466	-0.261	0.493	1.65	0.779	0.707	0.812	0.708	0.758
MPI-ESM1-2-HR_CMIP6	[-]	0.335	0.335	0.876		-0.541	0.680	1.31	0.587	0.678	0.851	0.153	0.580
NorESM2-MM_BARPA	[-]	0.888	0.888	0.897	0.829	-0.00909	0.550	1.62	0.794	0.664	0.815	0.780	0.759
NorESM2-MM_CCAM	[-]	0.940	0.940	0.901	0.908	0.0389	0.560	1.26	0.760	0.686	0.888	0.438	0.705
NorESM2-MM_CMIP6	[-]	0.847	0.847	0.900		-0.0524	0.513	1.27	0.760	0.682	0.870	0.414	0.637

	Download Data	Period Mean (original grids) [d]	Model Period Mean (intersection) [d]	Benchmark Period Mean (intersection) [d]	Model Period Mean (complement) [d]	Bias [d]	RMSE [d]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	3.52
ACCESS-CM2_BARPA	[-]	2.74	2.74	3.52	2.77	-0.774	1.61	0.182	0.836	0.755	0.986	0.959	0.870
ACCESS-CM2_CCAM	[-]	2.07	2.04	3.53	2.30	-1.48	2.49	0.414	0.723	0.661	0.969	0.790	0.772
ACCESS-CM2_CMIP6	[-]	1.76	1.76	3.40		-1.65	2.69	0.198	0.680	0.627	0.987	0.614	0.716
ACCESS-ESM1-5_BARPA	[-]	3.08	3.07	3.52	3.30	-0.452	1.16	0.350	0.879	0.813	0.978	0.955	0.896
ACCESS-ESM1-5_CCAM	[-]	3.37	3.33	3.53	3.78	-0.192	1.49	0.192	0.895	0.751	0.985	0.988	0.888
ACCESS-ESM1-5_CMIP6	[-]	3.71	3.71	3.63		0.0809	2.01	0.00	0.952	0.665	1.00	0.977	0.873
CESM2_BARPA	[-]	2.33	2.31	3.52	2.52	-1.20	1.77	0.264	0.769	0.758	0.975	0.978	0.858
CESM2_CCAM	[-]	2.65	2.67	3.53	2.50	-0.860	1.88	0.659	0.809	0.718	0.954	0.941	0.840
CESM2_CMIP6	[-]	2.91	2.91	3.42		-0.515	1.63	0.442	0.885	0.729	0.968	0.981	0.873
CMCC-ESM2_BARPA	[-]	2.30	2.28	3.52	2.63	-1.24	1.88	0.331	0.764	0.741	0.974	0.983	0.852
CMCC-ESM2_CCAM	[-]	2.93	2.89	3.53	3.30	-0.635	1.22	0.121	0.857	0.813	0.988	0.891	0.879
CMCC-ESM2_CMIP6	[-]	3.31	3.31	3.42		-0.107	0.930	0.00	0.898	0.852	1.00	0.992	0.926
CNRM-ESM2-1_CCAM	[-]	2.31	2.28	3.53	2.62	-1.25	2.02	0.173	0.764	0.727	0.985	0.941	0.840
CNRM-ESM2-1_CMIP6	[-]	1.94	1.94	3.45		-1.51	2.52	0.164	0.730	0.658	0.990	0.977	0.819
EC-Earth3_BARPA	[-]	3.13	3.10	3.52	3.58	-0.421	1.32	0.646	0.840	0.808	0.957	0.941	0.878
EC-Earth3_CCAM	[-]	3.38	3.34	3.53	3.79	-0.188	1.41	0.935	0.898	0.762	0.935	0.976	0.878
EC-Earth3_CMIP6	[-]	3.97	3.97	3.44		0.526	2.36	0.758	0.821	0.641	0.952	0.605	0.742
ERA5_BARPA	[-]	3.24	3.23	3.53	3.46	-0.305	1.31	0.140	0.891	0.780	0.988	0.970	0.893
ERA5_CCAM	[-]	3.18	3.15	3.54	3.52	-0.394	0.933	0.208	0.895	0.848	0.984	0.950	0.911
MPI-ESM1-2-HR_BARPA	[-]	2.49	2.48	3.52	2.68	-1.04	1.61	0.0426	0.800	0.781	0.994	0.961	0.873
MPI-ESM1-2-HR_CMIP6	[-]	1.67	1.67	3.40		-1.73	2.83	0.262	0.671	0.636	0.981	0.582	0.708
NorESM2-MM_BARPA	[-]	3.16	3.13	3.52	3.49	-0.385	1.32	0.667	0.867	0.783	0.954	0.980	0.884
NorESM2-MM_CCAM	[-]	3.76	3.72	3.53	4.23	0.194	1.01	0.593	0.894	0.840	0.957	0.962	0.905
NorESM2-MM_CMIP6	[-]	3.68	3.68	3.42		0.259	1.11	0.105	0.903	0.818	0.995	0.949	0.905

	Download Data	Period Mean (original grids) [d]	Model Period Mean (intersection) [d]	Benchmark Period Mean (intersection) [d]	Model Period Mean (complement) [d]	Bias [d]	RMSE [d]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	1.41
ACCESS-CM2_BARPA	[-]	1.84	1.48	1.43	2.14	0.0540	0.680	1.13	0.838	0.734	0.887	0.955	0.830
ACCESS-CM2_CCAM	[-]	1.55	1.31	1.42	1.74	-0.108	0.741	1.13	0.794	0.732	0.884	0.762	0.781
ACCESS-CM2_CMIP6	[-]	1.77	1.35	1.53	2.24	-0.187	0.922	1.06	0.778	0.668	0.879	0.778	0.754
ACCESS-ESM1-5_BARPA	[-]	1.63	1.40	1.43	1.82	-0.0226	0.618	0.982	0.847	0.752	0.908	0.965	0.845
ACCESS-ESM1-5_CCAM	[-]	1.67	1.42	1.42	1.87	-0.00516	0.731	1.09	0.811	0.727	0.896	0.942	0.821
ACCESS-ESM1-5_CMIP6	[-]	1.82	1.52	1.51	2.18	0.0120	0.978	1.21	0.781	0.643	0.884	0.933	0.777
CESM2_BARPA	[-]	1.41	1.20	1.43	1.57	-0.221	0.680	1.14	0.824	0.738	0.898	0.931	0.826
CESM2_CCAM	[-]	1.54	1.01	1.42	1.97	-0.413	0.827	1.57	0.779	0.709	0.858	0.927	0.797
CESM2_CMIP6	[-]	1.58	1.48	1.51	1.69	-0.0287	0.865	1.08	0.776	0.691	0.881	0.879	0.783
CMCC-ESM2_BARPA	[-]	1.42	1.12	1.43	1.66	-0.303	0.783	1.49	0.804	0.710	0.862	0.903	0.798
CMCC-ESM2_CCAM	[-]	2.00	1.61	1.42	2.32	0.192	0.756	1.25	0.786	0.749	0.879	0.878	0.808
CMCC-ESM2_CMIP6	[-]	2.26	2.07	1.51	2.46	0.567	1.50	0.990	0.658	0.597	0.886	0.903	0.728
CNRM-ESM2-1_CCAM	[-]	1.40	1.23	1.42	1.53	-0.192	0.658	1.08	0.812	0.753	0.883	0.764	0.793
CNRM-ESM2-1_CMIP6	[-]	1.63	1.19	1.51	2.18	-0.316	0.797	1.20	0.793	0.705	0.876	0.865	0.789
EC-Earth3_BARPA	[-]	1.57	1.13	1.43	1.93	-0.294	0.618	1.05	0.812	0.772	0.899	0.967	0.845
EC-Earth3_CCAM	[-]	1.77	1.33	1.42	2.13	-0.0868	0.647	1.03	0.849	0.745	0.891	0.970	0.840
EC-Earth3_CMIP6	[-]	1.82	1.47	1.47	2.17	0.00711	1.07	1.19	0.750	0.639	0.860	0.923	0.762
ERA5_BARPA	[-]	1.72	1.45	1.43	1.94	0.0214	0.582	1.26	0.868	0.766	0.882	0.956	0.848
ERA5_CCAM	[-]	1.61	1.40	1.43	1.78	-0.0282	0.514	0.984	0.839	0.805	0.898	0.933	0.856
MPI-ESM1-2-HR_BARPA	[-]	1.33	1.05	1.43	1.55	-0.372	0.694	1.08	0.780	0.758	0.901	0.940	0.827
MPI-ESM1-2-HR_CMIP6	[-]	1.45	0.905	1.50	2.01	-0.593	0.988	1.07	0.684	0.710	0.898	0.861	0.773
NorESM2-MM_BARPA	[-]	1.97	1.56	1.43	2.31	0.135	0.768	1.64	0.841	0.703	0.845	0.961	0.811
NorESM2-MM_CCAM	[-]	1.72	1.66	1.42	1.77	0.243	0.804	1.23	0.756	0.749	0.879	0.859	0.798
NorESM2-MM_CMIP6	[-]	2.17	2.03	1.51	2.32	0.522	1.07	1.29	0.695	0.698	0.859	0.918	0.774

	Download Data	Period Mean (original grids) [d]	Model Period Mean (intersection) [d]	Benchmark Period Mean (intersection) [d]	Model Period Mean (complement) [d]	Bias [d]	RMSE [d]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	3.37
ACCESS-CM2_BARPA	[-]	3.55	3.13	3.33	3.65	-0.202	1.77	0.546	0.904	0.693	0.963	0.974	0.845
ACCESS-CM2_CCAM	[-]	2.84	2.48	3.35	2.92	-0.872	2.07	0.748	0.825	0.666	0.938	0.963	0.811
ACCESS-CM2_CMIP6	[-]	3.46	2.68	3.30	3.72	-0.613	2.72	0.854	0.820	0.560	0.922	0.951	0.763
ACCESS-ESM1-5_BARPA	[-]	2.84	3.07	3.33	2.79	-0.258	1.22	0.520	0.914	0.780	0.965	0.991	0.886
ACCESS-ESM1-5_CCAM	[-]	3.41	3.33	3.35	3.42	-0.0200	1.89	0.685	0.915	0.670	0.943	0.950	0.830
ACCESS-ESM1-5_CMIP6	[-]	4.10	3.91	3.40	4.17	0.512	2.63	0.552	0.870	0.574	0.966	0.945	0.786
CESM2_BARPA	[-]	2.36	2.38	3.33	2.35	-0.957	1.58	0.378	0.809	0.761	0.973	0.995	0.860
CESM2_CCAM	[-]	3.60	2.79	3.35	3.77	-0.568	1.78	0.652	0.865	0.701	0.953	0.938	0.831
CESM2_CMIP6	[-]	2.84	3.06	3.27	2.77	-0.208	1.49	0.668	0.908	0.723	0.957	0.834	0.829
CMCC-ESM2_BARPA	[-]	2.39	2.15	3.33	2.44	-1.18	1.88	0.507	0.769	0.727	0.967	0.970	0.832
CMCC-ESM2_CCAM	[-]	3.77	3.22	3.35	3.88	-0.137	1.10	0.480	0.903	0.809	0.966	0.939	0.885
CMCC-ESM2_CMIP6	[-]	4.43	4.10	3.27	4.54	0.835	1.85	0.483	0.811	0.718	0.970	0.874	0.818
CNRM-ESM2-1_CCAM	[-]	2.28	2.49	3.35	2.24	-0.866	1.55	0.456	0.825	0.760	0.965	0.965	0.855
CNRM-ESM2-1_CMIP6	[-]	3.23	2.20	3.21	3.65	-1.01	1.98	0.519	0.779	0.693	0.955	0.930	0.810
EC-Earth3_BARPA	[-]	3.08	3.09	3.33	3.07	-0.243	1.05	0.484	0.910	0.817	0.970	0.923	0.887
EC-Earth3_CCAM	[-]	3.91	3.91	3.35	3.92	0.553	1.83	0.616	0.866	0.694	0.953	0.896	0.821
EC-Earth3_CMIP6	[-]	4.56	4.68	3.33	4.53	1.35	3.19	1.00	0.733	0.538	0.904	0.758	0.694
ERA5_BARPA	[-]	3.01	3.21	3.35	2.97	-0.142	1.12	0.496	0.920	0.798	0.968	0.959	0.889
ERA5_CCAM	[-]	3.22	3.56	3.38	3.15	0.182	1.01	0.537	0.900	0.828	0.963	0.900	0.884
MPI-ESM1-2-HR_BARPA	[-]	2.52	2.76	3.33	2.47	-0.574	1.41	0.317	0.865	0.770	0.980	0.978	0.873
MPI-ESM1-2-HR_CMIP6	[-]	3.62	2.72	3.30	3.92	-0.584	2.30	0.527	0.794	0.643	0.966	0.584	0.726
NorESM2-MM_BARPA	[-]	3.64	3.16	3.33	3.75	-0.168	1.33	0.588	0.927	0.755	0.955	0.955	0.869
NorESM2-MM_CCAM	[-]	2.98	3.40	3.35	2.89	0.0433	1.11	0.606	0.914	0.803	0.952	0.954	0.885
NorESM2-MM_CMIP6	[-]	3.95	3.99	3.27	3.94	0.723	1.38	0.500	0.845	0.778	0.960	0.941	0.860

	Download Data	Period Mean (original grids) [d]	Model Period Mean (intersection) [d]	Benchmark Period Mean (intersection) [d]	Bias [d]	RMSE [d]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	1.51
ACCESS-CM2_BARPA	[-]	1.80	1.80	1.51	0.286	0.527	0.761	0.821	0.759	0.939	0.978	0.851
ACCESS-CM2_CCAM	[-]	1.83	1.83	1.51	0.317	0.570	0.368	0.806	0.743	0.968	0.941	0.840
ACCESS-CM2_CMIP6	[-]	1.90	1.90	1.49	0.412	0.648	0.595	0.743	0.692	0.961	0.954	0.809
ACCESS-ESM1-5_BARPA	[-]	1.80	1.80	1.51	0.288	0.614	0.621	0.818	0.712	0.949	0.994	0.837
ACCESS-ESM1-5_CCAM	[-]	2.08	2.08	1.51	0.563	0.852	0.368	0.694	0.663	0.967	0.939	0.785
ACCESS-ESM1-5_CMIP6	[-]	2.06	2.06	1.51	0.545	1.06	0.786	0.688	0.527	0.949	0.889	0.716
CESM2_BARPA	[-]	1.62	1.62	1.51	0.107	0.462	0.311	0.901	0.757	0.970	0.993	0.875
CESM2_CCAM	[-]	1.05	1.05	1.51	-0.462	0.651	1.44	0.736	0.746	0.840	0.954	0.804
CESM2_CMIP6	[-]	2.22	2.22	1.51	0.714	1.04	0.130	0.603	0.589	0.984	0.998	0.752
CMCC-ESM2_BARPA	[-]	1.44	1.44	1.51	-0.0767	0.508	0.728	0.912	0.730	0.932	0.995	0.860
CMCC-ESM2_CCAM	[-]	2.03	2.03	1.51	0.517	0.820	0.489	0.717	0.664	0.959	0.936	0.788
CMCC-ESM2_CMIP6	[-]	2.04	2.04	1.51	0.526	0.956	0.762	0.699	0.574	0.950	0.868	0.733
CNRM-ESM2-1_CCAM	[-]	1.52	1.52	1.51	0.0104	0.443	0.835	0.928	0.758	0.936	0.990	0.874
CNRM-ESM2-1_CMIP6	[-]	1.45	1.45	1.50	-0.0562	0.531	1.36	0.858	0.715	0.867	0.770	0.785
EC-Earth3_BARPA	[-]	0.986	0.986	1.51	-0.529	0.616	0.681	0.702	0.816	0.950	0.859	0.829
EC-Earth3_CCAM	[-]	1.30	1.30	1.51	-0.212	0.532	0.427	0.862	0.735	0.961	0.995	0.858
EC-Earth3_CMIP6	[-]	0.970	0.970	1.51	-0.540	0.645	1.02	0.682	0.792	0.908	0.908	0.816
ERA5_BARPA	[-]	1.60	1.60	1.52	0.0812	0.444	0.639	0.910	0.766	0.944	0.997	0.877
ERA5_CCAM	[-]	1.81	1.81	1.52	0.298	0.484	0.678	0.819	0.790	0.938	0.986	0.864
MPI-ESM1-2-HR_BARPA	[-]	0.891	0.891	1.51	-0.623	0.719	1.48	0.659	0.792	0.831	0.802	0.775
MPI-ESM1-2-HR_CMIP6	[-]	0.716	0.716	1.53	-0.811	0.876	1.26	0.559	0.793	0.883	0.703	0.746
NorESM2-MM_BARPA	[-]	1.88	1.88	1.51	0.361	0.795	1.69	0.785	0.633	0.790	0.969	0.762
NorESM2-MM_CCAM	[-]	2.02	2.02	1.51	0.509	0.702	1.13	0.721	0.741	0.870	0.996	0.814
NorESM2-MM_CMIP6	[-]	2.56	2.56	1.51	1.05	1.21	1.01	0.483	0.653	0.916	0.892	0.720

	Download Data	Period Mean (original grids) [d]	Model Period Mean (intersection) [d]	Benchmark Period Mean (intersection) [d]	Bias [d]	RMSE [d]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	1.74
ACCESS-CM2_BARPA	[-]	1.84	1.84	1.74	0.0977	0.517	0.617	0.870	0.792	0.935	0.985	0.875
ACCESS-CM2_CCAM	[-]	1.54	1.54	1.74	-0.201	0.552	0.622	0.863	0.786	0.942	0.944	0.864
ACCESS-CM2_CMIP6	[-]	1.52	1.52	1.94	-0.419	0.832	0.406	0.741	0.711	0.956	0.719	0.768
ACCESS-ESM1-5_BARPA	[-]	1.88	1.88	1.74	0.139	0.544	0.591	0.866	0.782	0.942	0.992	0.873
ACCESS-ESM1-5_CCAM	[-]	2.09	2.09	1.74	0.347	0.681	0.607	0.810	0.764	0.953	0.983	0.855
ACCESS-ESM1-5_CMIP6	[-]	1.92	1.92	1.68	0.239	0.880	1.01	0.819	0.618	0.933	0.992	0.796
CESM2_BARPA	[-]	1.67	1.67	1.74	-0.0689	0.537	0.737	0.893	0.773	0.945	0.993	0.875
CESM2_CCAM	[-]	1.44	1.44	1.74	-0.298	0.688	1.41	0.853	0.724	0.816	0.991	0.822
CESM2_CMIP6	[-]	2.09	2.09	1.72	0.370	0.718	0.356	0.809	0.709	0.974	0.995	0.839
CMCC-ESM2_BARPA	[-]	1.29	1.29	1.74	-0.449	0.712	0.639	0.791	0.754	0.935	0.989	0.845
CMCC-ESM2_CCAM	[-]	1.61	1.61	1.74	-0.128	0.459	0.592	0.882	0.824	0.943	0.992	0.893
CMCC-ESM2_CMIP6	[-]	1.94	1.94	1.72	0.223	0.848	0.838	0.855	0.645	0.925	0.989	0.812
CNRM-ESM2-1_CCAM	[-]	1.62	1.62	1.74	-0.124	0.480	0.704	0.903	0.798	0.942	0.918	0.872
CNRM-ESM2-1_CMIP6	[-]	1.78	1.78	1.73	0.0518	0.582	1.10	0.922	0.733	0.919	0.934	0.848
EC-Earth3_BARPA	[-]	1.17	1.17	1.74	-0.578	0.698	0.788	0.735	0.814	0.945	0.965	0.855
EC-Earth3_CCAM	[-]	1.43	1.43	1.74	-0.313	0.514	0.542	0.844	0.819	0.937	0.994	0.882
EC-Earth3_CMIP6	[-]	1.33	1.33	1.72	-0.383	0.684	1.06	0.801	0.748	0.882	0.981	0.832
ERA5_BARPA	[-]	1.73	1.73	1.75	-0.0261	0.492	0.796	0.904	0.790	0.905	0.983	0.874
ERA5_CCAM	[-]	1.80	1.80	1.75	0.0455	0.375	0.661	0.912	0.844	0.929	0.975	0.901
MPI-ESM1-2-HR_BARPA	[-]	0.960	0.960	1.74	-0.783	0.911	1.07	0.655	0.781	0.887	0.829	0.786
MPI-ESM1-2-HR_CMIP6	[-]	0.545	0.545	1.76	-1.21	1.34	0.969	0.496	0.724	0.936	0.469	0.670
NorESM2-MM_BARPA	[-]	1.86	1.86	1.74	0.116	0.700	0.818	0.881	0.706	0.932	0.988	0.843
NorESM2-MM_CCAM	[-]	1.89	1.89	1.74	0.146	0.635	0.939	0.857	0.749	0.921	0.554	0.766
NorESM2-MM_CMIP6	[-]	2.59	2.59	1.72	0.874	1.13	0.952	0.612	0.669	0.937	0.726	0.722

	Download Data	Period Mean (original grids) [d]	Model Period Mean (intersection) [d]	Benchmark Period Mean (intersection) [d]	Bias [d]	RMSE [d]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	2.40
ACCESS-CM2_BARPA	[-]	2.49	2.49	2.41	0.0793	0.907	0.964	0.836	0.695	0.897	0.954	0.815
ACCESS-CM2_CCAM	[-]	2.17	2.17	2.41	-0.236	0.770	1.25	0.829	0.746	0.851	0.782	0.791
ACCESS-CM2_CMIP6	[-]	1.99	1.99	2.58	-0.585	1.05	1.01	0.739	0.660	0.934	0.401	0.679
ACCESS-ESM1-5_BARPA	[-]	2.52	2.52	2.41	0.110	0.930	1.18	0.829	0.694	0.851	0.927	0.799
ACCESS-ESM1-5_CCAM	[-]	2.62	2.62	2.41	0.210	0.744	1.29	0.856	0.750	0.850	0.993	0.840
ACCESS-ESM1-5_CMIP6	[-]	2.30	2.30	2.33	-0.0282	1.08	1.27	0.846	0.565	0.844	0.857	0.735
CESM2_BARPA	[-]	2.58	2.58	2.41	0.161	1.03	1.37	0.838	0.654	0.832	0.907	0.777
CESM2_CCAM	[-]	1.85	1.85	2.41	-0.558	0.786	1.08	0.769	0.790	0.899	0.994	0.848
CESM2_CMIP6	[-]	2.82	2.82	2.38	0.442	0.900	1.35	0.794	0.667	0.840	0.967	0.787
CMCC-ESM2_BARPA	[-]	2.40	2.40	2.41	-0.0126	1.04	1.67	0.829	0.653	0.777	0.893	0.761
CMCC-ESM2_CCAM	[-]	2.75	2.75	2.41	0.341	0.803	1.38	0.825	0.747	0.836	0.973	0.826
CMCC-ESM2_CMIP6	[-]	2.63	2.63	2.38	0.250	0.807	1.23	0.878	0.670	0.860	0.999	0.815
CNRM-ESM2-1_CCAM	[-]	2.10	2.10	2.41	-0.306	0.770	1.20	0.830	0.746	0.865	0.951	0.828
CNRM-ESM2-1_CMIP6	[-]	2.63	2.63	2.46	0.172	0.806	1.20	0.836	0.697	0.831	0.923	0.796
EC-Earth3_BARPA	[-]	2.04	2.04	2.41	-0.374	0.895	0.909	0.769	0.744	0.908	0.877	0.809
EC-Earth3_CCAM	[-]	2.21	2.21	2.41	-0.204	0.644	1.35	0.866	0.779	0.829	0.981	0.847
EC-Earth3_CMIP6	[-]	1.68	1.68	2.45	-0.768	0.922	0.850	0.687	0.783	0.921	0.986	0.832
ERA5_BARPA	[-]	2.43	2.43	2.42	0.00735	0.800	1.42	0.844	0.733	0.801	0.957	0.813
ERA5_CCAM	[-]	2.50	2.50	2.42	0.0832	0.543	1.21	0.877	0.819	0.848	0.945	0.861
MPI-ESM1-2-HR_BARPA	[-]	1.61	1.61	2.41	-0.801	0.978	0.646	0.688	0.790	0.929	0.979	0.835
MPI-ESM1-2-HR_CMIP6	[-]	1.13	1.13	2.43	-1.30	1.42	1.01	0.517	0.760	0.866	0.955	0.772
NorESM2-MM_BARPA	[-]	2.67	2.67	2.41	0.260	0.993	1.35	0.825	0.676	0.835	0.920	0.786
NorESM2-MM_CCAM	[-]	2.09	2.09	2.41	-0.323	0.768	1.31	0.810	0.762	0.844	0.822	0.800
NorESM2-MM_CMIP6	[-]	2.80	2.80	2.38	0.419	0.834	1.58	0.807	0.704	0.815	0.960	0.798

	Download Data	Period Mean (original grids) [d]	Model Period Mean (intersection) [d]	Benchmark Period Mean (intersection) [d]	Model Period Mean (complement) [d]	Bias [d]	RMSE [d]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	1.69
ACCESS-CM2_BARPA	[-]	1.51	1.51	1.70	2.19	-0.195	0.770	0.634	0.904	0.773	0.961	0.840	0.850
ACCESS-CM2_CCAM	[-]	1.28	1.27	1.70	1.72	-0.421	0.893	0.593	0.852	0.753	0.961	0.692	0.802
ACCESS-CM2_CMIP6	[-]	1.35	1.35	1.83		-0.484	1.16	0.569	0.829	0.687	0.968	0.239	0.682
ACCESS-ESM1-5_BARPA	[-]	1.74	1.74	1.70	2.61	0.0381	0.553	0.390	0.919	0.838	0.972	0.980	0.909
ACCESS-ESM1-5_CCAM	[-]	2.01	2.01	1.70	2.82	0.313	0.827	0.562	0.875	0.768	0.965	0.993	0.874
ACCESS-ESM1-5_CMIP6	[-]	2.08	2.08	1.76		0.320	0.999	0.492	0.874	0.713	0.970	0.964	0.847
CESM2_BARPA	[-]	1.19	1.19	1.70	1.90	-0.514	0.858	0.571	0.826	0.779	0.962	0.803	0.830
CESM2_CCAM	[-]	1.08	1.08	1.70	1.63	-0.619	1.15	0.673	0.795	0.706	0.956	0.934	0.819
CESM2_CMIP6	[-]	2.10	2.10	1.69		0.405	1.11	0.730	0.856	0.682	0.955	0.943	0.824
CMCC-ESM2_BARPA	[-]	1.05	1.05	1.70	1.93	-0.655	1.04	0.479	0.784	0.743	0.966	0.908	0.829
CMCC-ESM2_CCAM	[-]	1.48	1.48	1.70	2.23	-0.216	0.600	0.622	0.910	0.825	0.962	0.956	0.896
CMCC-ESM2_CMIP6	[-]	2.87	2.87	1.69		1.17	2.18	0.630	0.663	0.510	0.963	0.893	0.708
CNRM-ESM2-1_CCAM	[-]	1.43	1.42	1.70	2.01	-0.271	0.691	0.396	0.896	0.798	0.974	0.884	0.870
CNRM-ESM2-1_CMIP6	[-]	1.21	1.21	1.77		-0.559	1.19	0.608	0.795	0.697	0.962	0.958	0.822
EC-Earth3_BARPA	[-]	1.27	1.27	1.70	2.41	-0.435	0.686	0.414	0.852	0.828	0.971	0.986	0.893
EC-Earth3_CCAM	[-]	1.51	1.51	1.70	2.58	-0.187	0.618	0.480	0.916	0.816	0.969	0.986	0.901
EC-Earth3_CMIP6	[-]	1.93	1.93	1.69		0.247	1.23	0.672	0.875	0.647	0.954	0.887	0.802
ERA5_BARPA	[-]	1.71	1.71	1.71	2.62	-0.00521	0.746	0.739	0.927	0.775	0.945	0.985	0.881
ERA5_CCAM	[-]	1.69	1.68	1.71	2.50	-0.0241	0.455	0.506	0.942	0.861	0.967	0.990	0.924
MPI-ESM1-2-HR_BARPA	[-]	1.01	1.00	1.70	1.88	-0.698	0.986	0.453	0.772	0.777	0.971	0.916	0.843
MPI-ESM1-2-HR_CMIP6	[-]	0.777	0.777	1.74		-0.964	1.36	0.612	0.688	0.707	0.963	0.950	0.803
NorESM2-MM_BARPA	[-]	1.60	1.59	1.70	2.60	-0.110	0.756	0.460	0.938	0.767	0.966	0.987	0.885
NorESM2-MM_CCAM	[-]	2.27	2.26	1.70	3.35	0.569	0.913	0.483	0.812	0.778	0.970	0.969	0.861
NorESM2-MM_CMIP6	[-]	3.02	3.02	1.69		1.33	1.81	0.654	0.616	0.633	0.960	0.991	0.767

	Download Data	Period Mean (original grids) [d]	Model Period Mean (intersection) [d]	Benchmark Period Mean (intersection) [d]	Model Period Mean (complement) [d]	Bias [d]	RMSE [d]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	2.26
ACCESS-CM2_BARPA	[-]	2.29	2.26	2.27	2.54	-0.00969	0.812	0.514	0.930	0.801	0.967	0.981	0.896
ACCESS-CM2_CCAM	[-]	1.99	1.98	2.27	2.13	-0.293	1.02	0.478	0.890	0.760	0.964	0.813	0.837
ACCESS-CM2_CMIP6	[-]	1.87	1.87	2.33		-0.466	1.33	0.443	0.868	0.690	0.955	0.842	0.809
ACCESS-ESM1-5_BARPA	[-]	2.29	2.27	2.27	2.50	-0.00539	0.723	0.612	0.940	0.821	0.962	0.988	0.907
ACCESS-ESM1-5_CCAM	[-]	2.17	2.13	2.27	2.48	-0.139	1.02	0.444	0.933	0.747	0.968	0.984	0.876
ACCESS-ESM1-5_CMIP6	[-]	2.31	2.31	2.26		0.0588	1.17	0.426	0.924	0.708	0.973	0.958	0.854
CESM2_BARPA	[-]	1.66	1.64	2.27	1.77	-0.628	1.17	0.772	0.830	0.750	0.943	0.934	0.841
CESM2_CCAM	[-]	1.41	1.35	2.27	1.81	-0.916	1.66	0.441	0.765	0.667	0.967	0.978	0.809
CESM2_CMIP6	[-]	2.24	2.24	2.31		-0.0637	1.09	0.474	0.927	0.731	0.969	0.992	0.870
CMCC-ESM2_BARPA	[-]	1.65	1.63	2.27	1.78	-0.641	1.34	0.561	0.826	0.715	0.965	0.948	0.834
CMCC-ESM2_CCAM	[-]	2.32	2.28	2.27	2.60	0.0120	0.801	0.386	0.905	0.817	0.972	0.933	0.889
CMCC-ESM2_CMIP6	[-]	4.30	4.30	2.31		1.99	3.17	0.527	0.575	0.506	0.965	0.972	0.705
CNRM-ESM2-1_CCAM	[-]	1.99	1.95	2.27	2.26	-0.318	0.875	0.507	0.898	0.796	0.966	0.962	0.884
CNRM-ESM2-1_CMIP6	[-]	1.16	1.16	2.26		-1.10	1.73	0.359	0.718	0.669	0.970	0.946	0.794
EC-Earth3_BARPA	[-]	1.96	1.93	2.27	2.27	-0.344	0.777	0.593	0.897	0.826	0.961	0.989	0.900
EC-Earth3_CCAM	[-]	2.49	2.43	2.27	2.96	0.165	0.978	0.448	0.928	0.761	0.970	0.966	0.877
EC-Earth3_CMIP6	[-]	3.29	3.27	2.30	4.33	0.974	2.18	0.788	0.748	0.564	0.927	0.858	0.732
ERA5_BARPA	[-]	2.28	2.25	2.29	2.49	-0.0390	0.810	0.634	0.949	0.797	0.957	0.996	0.899
ERA5_CCAM	[-]	2.27	2.23	2.29	2.60	-0.0628	0.573	0.468	0.940	0.858	0.967	0.992	0.923
MPI-ESM1-2-HR_BARPA	[-]	1.74	1.70	2.27	2.05	-0.567	0.981	0.553	0.844	0.795	0.966	0.963	0.873
MPI-ESM1-2-HR_CMIP6	[-]	1.53	1.52	2.28	2.45	-0.755	1.29	0.510	0.788	0.740	0.967	0.812	0.809
NorESM2-MM_BARPA	[-]	2.22	2.21	2.27	2.38	-0.0656	1.16	0.647	0.940	0.718	0.956	0.985	0.864
NorESM2-MM_CCAM	[-]	2.55	2.52	2.27	2.85	0.248	0.757	0.440	0.913	0.825	0.970	0.989	0.904
NorESM2-MM_CMIP6	[-]	3.09	3.09	2.31		0.786	1.23	0.580	0.797	0.762	0.959	0.989	0.854

	Download Data	Period Mean (original grids) [d]	Model Period Mean (intersection) [d]	Benchmark Period Mean (intersection) [d]	Bias [d]	RMSE [d]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	1.10
ACCESS-CM2_BARPA	[-]	1.34	1.34	1.10	0.241	0.505	2.75	0.787	0.704	0.664	0.935	0.759
ACCESS-CM2_CCAM	[-]	1.43	1.43	1.10	0.330	0.548	2.69	0.744	0.718	0.664	0.988	0.766
ACCESS-CM2_CMIP6	[-]	1.36	1.36	1.11	0.250	0.632	3.19	0.700	0.638	0.554	0.893	0.684
ACCESS-ESM1-5_BARPA	[-]	1.19	1.19	1.10	0.0887	0.462	1.90	0.854	0.696	0.754	0.971	0.794
ACCESS-ESM1-5_CCAM	[-]	1.24	1.24	1.10	0.146	0.518	2.58	0.816	0.682	0.642	0.981	0.761
ACCESS-ESM1-5_CMIP6	[-]	1.21	1.21	1.15	0.0638	0.853	3.07	0.650	0.496	0.352	0.717	0.542
CESM2_BARPA	[-]	1.18	1.18	1.10	0.0791	0.435	1.65	0.866	0.710	0.764	0.942	0.798
CESM2_CCAM	[-]	0.763	0.763	1.10	-0.335	0.509	2.23	0.729	0.745	0.710	0.920	0.769
CESM2_CMIP6	[-]	1.41	1.41	1.12	0.290	0.752	2.53	0.687	0.576	0.487	0.886	0.642
CMCC-ESM2_BARPA	[-]	1.12	1.12	1.10	0.0181	0.429	1.88	0.883	0.711	0.757	0.981	0.809
CMCC-ESM2_CCAM	[-]	1.70	1.70	1.10	0.599	0.775	2.07	0.617	0.681	0.678	0.975	0.727
CMCC-ESM2_CMIP6	[-]	1.43	1.43	1.12	0.304	0.728	2.15	0.673	0.599	0.589	0.829	0.658
CNRM-ESM2-1_CCAM	[-]	1.04	1.04	1.10	-0.0538	0.402	1.87	0.872	0.732	0.698	0.943	0.795
CNRM-ESM2-1_CMIP6	[-]	1.06	1.06	1.10	-0.0393	0.399	2.48	0.868	0.702	0.677	0.987	0.787
EC-Earth3_BARPA	[-]	0.801	0.801	1.10	-0.301	0.481	2.11	0.751	0.741	0.704	0.948	0.777
EC-Earth3_CCAM	[-]	1.01	1.01	1.10	-0.0876	0.510	2.48	0.855	0.666	0.606	0.914	0.741
EC-Earth3_CMIP6	[-]	0.691	0.691	1.13	-0.435	0.668	3.16	0.651	0.645	0.440	0.550	0.586
ERA5_BARPA	[-]	1.30	1.30	1.11	0.199	0.423	1.60	0.805	0.763	0.775	0.976	0.817
ERA5_CCAM	[-]	1.39	1.39	1.10	0.291	0.474	1.90	0.762	0.766	0.681	0.984	0.792
MPI-ESM1-2-HR_BARPA	[-]	0.962	0.962	1.10	-0.140	0.448	2.43	0.821	0.720	0.688	0.971	0.784
MPI-ESM1-2-HR_CMIP6	[-]	0.636	0.636	1.08	-0.445	0.552	3.03	0.639	0.753	0.596	0.764	0.701
NorESM2-MM_BARPA	[-]	1.39	1.39	1.10	0.293	0.567	2.38	0.763	0.672	0.675	0.919	0.740
NorESM2-MM_CCAM	[-]	1.58	1.58	1.10	0.480	0.663	2.42	0.675	0.719	0.693	0.983	0.758
NorESM2-MM_CMIP6	[-]	1.64	1.64	1.12	0.515	0.764	2.56	0.620	0.689	0.548	0.830	0.675

	Download Data	Period Mean (original grids) [d]	Model Period Mean (intersection) [d]	Benchmark Period Mean (intersection) [d]	Model Period Mean (complement) [d]	Bias [d]	RMSE [d]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	0.795
ACCESS-CM2_BARPA	[-]	1.03	1.03	0.796	1.04	0.234	0.426	0.731	0.843	0.786	0.939	0.971	0.865
ACCESS-CM2_CCAM	[-]	1.06	1.06	0.795	1.05	0.265	0.467	0.814	0.819	0.779	0.929	0.953	0.852
ACCESS-CM2_CMIP6	[-]	0.983	0.985	0.799	0.963	0.187	0.448	0.634	0.854	0.751	0.946	0.946	0.850
ACCESS-ESM1-5_BARPA	[-]	0.968	0.982	0.796	0.941	0.186	0.440	0.789	0.862	0.762	0.942	0.972	0.860
ACCESS-ESM1-5_CCAM	[-]	1.04	1.10	0.795	0.933	0.307	0.517	0.703	0.795	0.756	0.947	0.947	0.840
ACCESS-ESM1-5_CMIP6	[-]	1.10	1.12	0.794	0.948	0.323	0.627	0.717	0.781	0.676	0.951	0.985	0.814
CESM2_BARPA	[-]	0.772	0.794	0.796	0.731	-0.00236	0.425	1.21	0.902	0.753	0.881	0.908	0.839
CESM2_CCAM	[-]	0.468	0.510	0.795	0.392	-0.285	0.572	1.55	0.810	0.703	0.799	0.740	0.751
CESM2_CMIP6	[-]	1.08	1.13	0.800	0.852	0.326	0.683	0.716	0.771	0.657	0.949	0.945	0.796
CMCC-ESM2_BARPA	[-]	0.687	0.678	0.796	0.705	-0.118	0.497	1.73	0.899	0.714	0.810	0.816	0.790
CMCC-ESM2_CCAM	[-]	1.20	1.21	0.795	1.19	0.415	0.651	1.22	0.747	0.716	0.878	0.982	0.808
CMCC-ESM2_CMIP6	[-]	1.98	1.93	0.800	2.23	1.13	1.78	0.652	0.443	0.375	0.956	0.525	0.535
CNRM-ESM2-1_CCAM	[-]	0.913	0.933	0.795	0.876	0.138	0.381	0.866	0.892	0.790	0.927	0.987	0.877
CNRM-ESM2-1_CMIP6	[-]	0.635	0.655	0.804	0.532	-0.149	0.470	0.933	0.867	0.730	0.891	0.539	0.752
EC-Earth3_BARPA	[-]	0.520	0.536	0.796	0.491	-0.260	0.393	0.913	0.822	0.815	0.920	0.878	0.850
EC-Earth3_CCAM	[-]	0.762	0.794	0.795	0.706	-0.00148	0.371	0.747	0.923	0.783	0.932	0.989	0.882
EC-Earth3_CMIP6	[-]	0.884	0.902	0.801	0.824	0.101	0.700	0.666	0.857	0.627	0.936	0.857	0.781
ERA5_BARPA	[-]	0.931	0.936	0.802	0.922	0.133	0.438	1.62	0.900	0.748	0.821	0.983	0.840
ERA5_CCAM	[-]	0.910	0.964	0.802	0.814	0.162	0.353	1.10	0.875	0.815	0.889	0.989	0.876
MPI-ESM1-2-HR_BARPA	[-]	0.554	0.547	0.796	0.567	-0.249	0.419	0.895	0.826	0.796	0.921	0.754	0.819
MPI-ESM1-2-HR_CMIP6	[-]	0.485	0.480	0.802	0.506	-0.322	0.516	0.763	0.776	0.764	0.938	0.907	0.830
NorESM2-MM_BARPA	[-]	1.08	1.06	0.796	1.12	0.265	0.657	2.33	0.830	0.656	0.700	0.969	0.762
NorESM2-MM_CCAM	[-]	1.40	1.43	0.795	1.34	0.631	0.793	0.736	0.646	0.717	0.932	0.983	0.799
NorESM2-MM_CMIP6	[-]	1.73	1.78	0.800	1.46	0.978	1.19	0.718	0.497	0.610	0.937	0.845	0.700

	Download Data	Period Mean (original grids) [d]	Model Period Mean (intersection) [d]	Benchmark Period Mean (intersection) [d]	Model Period Mean (complement) [d]	Bias [d]	RMSE [d]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	0.529
ACCESS-CM2_BARPA	[-]	0.748	0.724	0.529	0.805	0.196	0.371	1.57	0.820	0.732	0.804	0.861	0.790
ACCESS-CM2_CCAM	[-]	0.717	0.712	0.529	0.726	0.184	0.369	1.71	0.829	0.730	0.786	0.989	0.813
ACCESS-CM2_CMIP6	[-]	0.736	0.721	0.531	0.805	0.189	0.382	1.39	0.804	0.689	0.837	0.989	0.802
ACCESS-ESM1-5_BARPA	[-]	0.607	0.583	0.529	0.663	0.0544	0.277	1.08	0.907	0.766	0.878	0.955	0.855
ACCESS-ESM1-5_CCAM	[-]	0.533	0.531	0.529	0.539	0.00220	0.311	2.00	0.871	0.750	0.716	0.963	0.810
ACCESS-ESM1-5_CMIP6	[-]	0.681	0.661	0.520	0.803	0.140	0.416	1.73	0.828	0.639	0.793	0.975	0.775
CESM2_BARPA	[-]	0.535	0.507	0.529	0.602	-0.0214	0.290	1.50	0.888	0.759	0.810	0.914	0.826
CESM2_CCAM	[-]	0.381	0.394	0.529	0.352	-0.135	0.401	3.38	0.858	0.682	0.409	0.908	0.708
CESM2_CMIP6	[-]	0.663	0.649	0.531	0.721	0.118	0.352	1.22	0.798	0.741	0.868	0.717	0.773
CMCC-ESM2_BARPA	[-]	0.551	0.524	0.529	0.617	-0.00492	0.363	2.50	0.898	0.697	0.612	0.736	0.728
CMCC-ESM2_CCAM	[-]	1.00	0.972	0.529	1.07	0.443	0.586	1.91	0.640	0.684	0.749	0.987	0.749
CMCC-ESM2_CMIP6	[-]	1.03	1.03	0.531	1.04	0.502	0.834	1.07	0.599	0.523	0.884	0.328	0.571
CNRM-ESM2-1_CCAM	[-]	0.664	0.679	0.529	0.628	0.151	0.308	1.28	0.857	0.765	0.849	0.985	0.844
CNRM-ESM2-1_CMIP6	[-]	0.528	0.524	0.522	0.551	0.00173	0.309	2.13	0.901	0.707	0.670	0.929	0.783
EC-Earth3_BARPA	[-]	0.350	0.370	0.529	0.302	-0.158	0.274	1.21	0.835	0.802	0.860	0.800	0.820
EC-Earth3_CCAM	[-]	0.462	0.483	0.529	0.412	-0.0457	0.295	1.18	0.895	0.755	0.855	0.968	0.846
EC-Earth3_CMIP6	[-]	0.462	0.475	0.531	0.419	-0.0561	0.391	1.14	0.875	0.672	0.861	0.968	0.810
ERA5_BARPA	[-]	0.708	0.688	0.530	0.757	0.158	0.305	1.58	0.849	0.774	0.809	0.901	0.821
ERA5_CCAM	[-]	0.587	0.601	0.530	0.555	0.0707	0.243	1.02	0.885	0.813	0.873	0.981	0.873
MPI-ESM1-2-HR_BARPA	[-]	0.456	0.455	0.529	0.460	-0.0741	0.262	1.43	0.893	0.781	0.825	0.583	0.772
MPI-ESM1-2-HR_CMIP6	[-]	0.301	0.307	0.528	0.283	-0.221	0.338	1.34	0.770	0.758	0.816	0.854	0.791
NorESM2-MM_BARPA	[-]	0.843	0.806	0.529	0.929	0.278	0.453	2.32	0.754	0.693	0.677	0.991	0.762
NorESM2-MM_CCAM	[-]	1.05	1.02	0.529	1.11	0.488	0.626	2.41	0.612	0.675	0.655	0.983	0.720
NorESM2-MM_CMIP6	[-]	1.08	1.06	0.531	1.18	0.527	0.668	2.59	0.570	0.648	0.623	0.872	0.672

	Download Data	Period Mean (original grids) [d]	Model Period Mean (intersection) [d]	Benchmark Period Mean (intersection) [d]	Bias [d]	RMSE [d]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	1.89
ACCESS-CM2_BARPA	[-]	1.95	1.95	1.91	0.0353	0.821	1.66	0.726	0.689	0.790	0.767	0.732
ACCESS-CM2_CCAM	[-]	1.79	1.79	1.89	-0.0987	0.650	1.70	0.780	0.754	0.779	0.970	0.807
ACCESS-CM2_CMIP6	[-]	1.12	1.12	2.34	-1.21	1.31	1.52	0.422	0.708	0.736	0.688	0.652
ACCESS-ESM1-5_BARPA	[-]	1.76	1.76	1.91	-0.150	0.863	1.27	0.711	0.683	0.846	0.792	0.743
ACCESS-ESM1-5_CCAM	[-]	1.54	1.54	1.89	-0.348	0.676	1.76	0.759	0.752	0.784	0.981	0.806
ACCESS-ESM1-5_CMIP6	[-]	0.973	0.973	1.85	-0.878	0.935	0.00	0.488	0.773	1.00	1.00	0.807
CESM2_BARPA	[-]	1.97	1.97	1.91	0.0577	0.893	1.12	0.716	0.657	0.870	0.724	0.725
CESM2_CCAM	[-]	1.47	1.47	1.89	-0.421	0.853	1.59	0.715	0.718	0.817	0.919	0.777
CESM2_CMIP6	[-]	1.36	1.36	1.84	-0.486	0.628	2.53	0.696	0.742	0.606	0.457	0.648
CMCC-ESM2_BARPA	[-]	1.86	1.86	1.91	-0.0509	0.671	1.25	0.805	0.713	0.849	0.929	0.802
CMCC-ESM2_CCAM	[-]	2.24	2.24	1.89	0.343	0.707	1.56	0.743	0.765	0.820	0.974	0.813
CMCC-ESM2_CMIP6	[-]	1.44	1.44	1.84	-0.404	0.565	2.04	0.747	0.750	0.747	0.0109	0.601
CNRM-ESM2-1_CCAM	[-]	1.58	1.58	1.89	-0.309	0.654	2.15	0.763	0.762	0.704	0.976	0.793
CNRM-ESM2-1_CMIP6	[-]	1.60	1.60	1.71	-0.104	0.429	2.04	0.836	0.745	0.747	0.194	0.653
EC-Earth3_BARPA	[-]	1.61	1.61	1.91	-0.299	0.729	1.61	0.762	0.715	0.784	0.971	0.789
EC-Earth3_CCAM	[-]	1.85	1.85	1.89	-0.0386	0.615	1.80	0.780	0.769	0.770	0.980	0.813
EC-Earth3_CMIP6	[-]	1.48	1.48	1.87	-0.385	0.949	2.88	0.678	0.621	0.545	0.885	0.670
ERA5_BARPA	[-]	1.96	1.96	1.91	0.0487	0.588	1.57	0.805	0.764	0.814	0.926	0.815
ERA5_CCAM	[-]	1.81	1.81	1.89	-0.0831	0.530	1.30	0.788	0.819	0.835	0.970	0.846
MPI-ESM1-2-HR_BARPA	[-]	1.80	1.80	1.91	-0.116	0.855	1.46	0.732	0.667	0.842	0.819	0.746
MPI-ESM1-2-HR_CMIP6	[-]	0.772	0.772	1.83	-1.06	1.18	3.42	0.444	0.673	0.302	0.357	0.490
NorESM2-MM_BARPA	[-]	2.19	2.19	1.91	0.276	0.738	1.08	0.749	0.725	0.888	0.792	0.776
NorESM2-MM_CCAM	[-]	1.70	1.70	1.89	-0.193	0.658	1.68	0.757	0.768	0.802	0.940	0.807
NorESM2-MM_CMIP6	[-]	1.65	1.65	1.84	-0.195	0.529	2.03	0.866	0.695	0.750	0.681	0.738

	Download Data	Period Mean (original grids) [d]	Model Period Mean (intersection) [d]	Benchmark Period Mean (intersection) [d]	Bias [d]	RMSE [d]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	5.02
ACCESS-CM2_BARPA	[-]	5.57	5.57	4.97	0.605	1.56	0.545	0.723	0.728	0.963	0.838	0.796
ACCESS-CM2_CCAM	[-]	4.15	4.15	5.00	-0.849	1.38	0.481	0.751	0.746	0.968	0.981	0.838
ACCESS-CM2_CMIP6	[-]	3.31	3.31	5.41	-2.10	2.31	0.00	0.508	0.733	1.00	1.00	0.795
ACCESS-ESM1-5_BARPA	[-]	5.53	5.53	4.97	0.569	1.89	0.966	0.713	0.630	0.913	0.807	0.739
ACCESS-ESM1-5_CCAM	[-]	4.25	4.25	5.00	-0.752	1.51	0.698	0.781	0.692	0.949	0.990	0.821
ACCESS-ESM1-5_CMIP6	[-]	1.36	1.36	4.00	-2.64	2.82	0.00	0.320	0.659	1.00	0.00110	0.528
CESM2_BARPA	[-]	5.46	5.46	4.97	0.494	1.85	0.717	0.737	0.624	0.929	0.862	0.755
CESM2_CCAM	[-]	4.74	4.74	5.00	-0.258	1.95	0.469	0.819	0.580	0.968	0.937	0.777
CESM2_CMIP6	[-]	2.71	2.71	4.41	-1.70	1.88	0.00	0.520	0.732	1.00	0.462	0.689
CMCC-ESM2_BARPA	[-]	4.66	4.66	4.97	-0.300	1.32	0.581	0.770	0.761	0.960	0.934	0.837
CMCC-ESM2_CCAM	[-]	4.07	4.07	5.00	-0.933	1.38	0.541	0.723	0.769	0.960	0.943	0.833
CMCC-ESM2_CMIP6	[-]	1.93	1.93	4.41	-2.48	2.65	0.344	0.388	0.700	0.974	0.00296	0.553
CNRM-ESM2-1_CCAM	[-]	3.97	3.97	5.00	-1.04	1.46	1.46	0.725	0.740	0.813	0.994	0.802
CNRM-ESM2-1_CMIP6	[-]	3.53	3.53	4.11	-0.585	0.925	1.36	0.798	0.776	0.858	0.0613	0.654
EC-Earth3_BARPA	[-]	4.43	4.43	4.97	-0.538	1.48	0.979	0.760	0.718	0.909	0.941	0.809
EC-Earth3_CCAM	[-]	4.06	4.06	5.00	-0.944	1.25	0.712	0.733	0.807	0.946	0.968	0.852
EC-Earth3_CMIP6	[-]	3.23	3.23	4.79	-1.56	1.91	1.13	0.586	0.691	0.875	0.973	0.763
ERA5_BARPA	[-]	4.57	4.57	4.96	-0.392	1.09	0.990	0.788	0.813	0.897	0.974	0.857
ERA5_CCAM	[-]	3.46	3.46	5.00	-1.54	1.70	0.493	0.607	0.817	0.964	0.878	0.817
MPI-ESM1-2-HR_BARPA	[-]	5.93	5.93	4.97	0.969	1.93	0.547	0.664	0.683	0.964	0.749	0.749
MPI-ESM1-2-HR_CMIP6	[-]	2.56	2.56	5.12	-2.56	2.66	0.412	0.421	0.784	0.975	0.585	0.710
NorESM2-MM_BARPA	[-]	5.11	5.11	4.97	0.146	1.32	0.607	0.776	0.743	0.958	0.933	0.831
NorESM2-MM_CCAM	[-]	4.04	4.04	5.00	-0.958	1.48	0.523	0.726	0.745	0.961	0.988	0.833
NorESM2-MM_CMIP6	[-]	2.63	2.63	4.41	-1.78	1.90	0.00	0.521	0.777	1.00	0.365	0.688

	Download Data	Period Mean (original grids) [d]	Model Period Mean (intersection) [d]	Benchmark Period Mean (intersection) [d]	Bias [d]	RMSE [d]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	1.99
ACCESS-CM2_BARPA	[-]	2.00	2.00	1.97	0.0278	0.728	1.69	0.819	0.693	0.793	0.966	0.793
ACCESS-CM2_CCAM	[-]	1.80	1.80	2.00	-0.192	0.675	1.77	0.797	0.727	0.779	0.907	0.787
ACCESS-CM2_CMIP6	[-]	1.73	1.73	2.04	-0.309	0.701	2.67	0.822	0.687	0.635	0.775	0.721
ACCESS-ESM1-5_BARPA	[-]	1.74	1.74	1.97	-0.230	0.738	1.86	0.804	0.691	0.754	0.989	0.786
ACCESS-ESM1-5_CCAM	[-]	1.68	1.68	2.00	-0.317	0.700	1.48	0.775	0.726	0.828	0.856	0.782
ACCESS-ESM1-5_CMIP6	[-]	1.57	1.57	1.99	-0.418	0.946	1.33	0.753	0.563	0.876	0.989	0.749
CESM2_BARPA	[-]	1.98	1.98	1.97	0.0120	0.773	1.09	0.832	0.671	0.863	0.977	0.803
CESM2_CCAM	[-]	1.12	1.12	2.00	-0.873	1.00	2.32	0.582	0.757	0.656	0.845	0.719
CESM2_CMIP6	[-]	1.85	1.85	2.06	-0.209	0.754	1.52	0.828	0.642	0.839	0.745	0.739
CMCC-ESM2_BARPA	[-]	1.99	1.99	1.97	0.0197	0.804	1.21	0.817	0.674	0.853	0.967	0.797
CMCC-ESM2_CCAM	[-]	2.34	2.34	2.00	0.343	0.883	1.44	0.759	0.662	0.798	0.948	0.766
CMCC-ESM2_CMIP6	[-]	2.17	2.17	2.06	0.106	0.936	1.52	0.725	0.618	0.839	0.307	0.622
CNRM-ESM2-1_CCAM	[-]	1.61	1.61	2.00	-0.383	0.830	1.82	0.761	0.672	0.774	0.809	0.737
CNRM-ESM2-1_CMIP6	[-]	2.18	2.18	2.14	0.0458	1.02	1.35	0.661	0.563	0.873	0.511	0.634
EC-Earth3_BARPA	[-]	1.75	1.75	1.97	-0.220	0.788	1.65	0.776	0.687	0.781	0.981	0.782
EC-Earth3_CCAM	[-]	1.81	1.81	2.00	-0.189	0.741	2.18	0.809	0.691	0.663	0.864	0.743
EC-Earth3_CMIP6	[-]	1.37	1.37	1.91	-0.542	0.874	2.03	0.683	0.661	0.710	0.957	0.735
ERA5_BARPA	[-]	2.11	2.11	1.97	0.137	0.658	1.00	0.813	0.731	0.844	0.988	0.821
ERA5_CCAM	[-]	2.07	2.07	2.00	0.0654	0.574	1.10	0.811	0.776	0.828	0.869	0.812
MPI-ESM1-2-HR_BARPA	[-]	1.60	1.60	1.97	-0.372	0.688	1.60	0.767	0.742	0.770	0.977	0.800
MPI-ESM1-2-HR_CMIP6	[-]	0.998	0.998	2.01	-1.01	1.10	2.01	0.493	0.743	0.640	0.167	0.557
NorESM2-MM_BARPA	[-]	2.27	2.27	1.97	0.298	0.825	0.990	0.767	0.682	0.887	0.931	0.790
NorESM2-MM_CCAM	[-]	1.65	1.65	2.00	-0.343	0.660	1.32	0.767	0.755	0.839	0.935	0.810
NorESM2-MM_CMIP6	[-]	1.94	1.94	2.06	-0.118	0.504	1.35	0.856	0.752	0.873	0.865	0.820

	Download Data	Period Mean (original grids) [d]	Model Period Mean (intersection) [d]	Benchmark Period Mean (intersection) [d]	Bias [d]	RMSE [d]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	1.53
ACCESS-CM2_BARPA	[-]	1.44	1.44	1.55	-0.106	0.581	2.48	0.799	0.713	0.648	0.946	0.764
ACCESS-CM2_CCAM	[-]	1.54	1.54	1.53	0.00895	0.542	2.16	0.821	0.721	0.704	0.605	0.714
ACCESS-CM2_CMIP6	[-]	1.48	1.48	1.68	-0.196	0.582	3.04	0.837	0.629	0.500	0.342	0.588
ACCESS-ESM1-5_BARPA	[-]	1.23	1.23	1.55	-0.312	0.609	1.96	0.748	0.726	0.750	0.978	0.786
ACCESS-ESM1-5_CCAM	[-]	1.29	1.29	1.53	-0.241	0.554	2.16	0.812	0.719	0.721	0.593	0.713
ACCESS-ESM1-5_CMIP6	[-]	1.05	1.05	1.30	-0.252	0.709	3.53	0.780	0.520	0.430	0.938	0.637
CESM2_BARPA	[-]	1.32	1.32	1.55	-0.225	0.534	2.03	0.777	0.753	0.742	0.973	0.799
CESM2_CCAM	[-]	1.13	1.13	1.53	-0.400	0.696	1.93	0.732	0.698	0.745	0.743	0.723
CESM2_CMIP6	[-]	1.19	1.19	1.38	-0.194	0.499	2.83	0.838	0.690	0.569	0.109	0.579
CMCC-ESM2_BARPA	[-]	1.24	1.24	1.55	-0.309	0.597	2.08	0.746	0.736	0.713	0.979	0.782
CMCC-ESM2_CCAM	[-]	1.84	1.84	1.53	0.313	0.612	1.77	0.736	0.745	0.770	0.686	0.737
CMCC-ESM2_CMIP6	[-]	1.26	1.26	1.38	-0.119	0.365	1.84	0.822	0.788	0.739	0.918	0.811
CNRM-ESM2-1_CCAM	[-]	1.29	1.29	1.53	-0.237	0.524	2.02	0.819	0.728	0.746	0.636	0.731
CNRM-ESM2-1_CMIP6	[-]	1.23	1.23	1.82	-0.586	0.794	1.02	0.633	0.658	0.933	1.00	0.776
EC-Earth3_BARPA	[-]	1.03	1.03	1.55	-0.513	0.749	2.37	0.660	0.709	0.657	0.964	0.740
EC-Earth3_CCAM	[-]	1.39	1.39	1.53	-0.132	0.585	1.86	0.812	0.700	0.762	0.563	0.707
EC-Earth3_CMIP6	[-]	0.882	0.882	1.46	-0.580	0.849	3.28	0.613	0.608	0.446	0.712	0.597
ERA5_BARPA	[-]	1.46	1.46	1.55	-0.0857	0.554	2.27	0.809	0.728	0.677	0.977	0.784
ERA5_CCAM	[-]	1.58	1.58	1.53	0.0537	0.462	1.56	0.825	0.774	0.813	0.640	0.765
MPI-ESM1-2-HR_BARPA	[-]	1.29	1.29	1.55	-0.254	0.582	1.97	0.768	0.729	0.759	0.959	0.789
MPI-ESM1-2-HR_CMIP6	[-]	0.827	0.827	1.43	-0.602	0.721	3.06	0.577	0.715	0.476	0.0973	0.516
NorESM2-MM_BARPA	[-]	1.46	1.46	1.55	-0.0824	0.583	2.17	0.808	0.704	0.700	0.955	0.774
NorESM2-MM_CCAM	[-]	1.58	1.58	1.53	0.0494	0.550	1.90	0.789	0.733	0.764	0.648	0.733
NorESM2-MM_CMIP6	[-]	1.41	1.41	1.38	0.0311	0.487	2.25	0.874	0.678	0.677	0.347	0.651

	Download Data	Period Mean (original grids) [d]	Model Period Mean (intersection) [d]	Benchmark Period Mean (intersection) [d]	Bias [d]	RMSE [d]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	0.740
ACCESS-CM2_BARPA	[-]	0.812	0.812	0.728	0.0843	0.402	2.98	0.828	0.698	0.579	0.973	0.755
ACCESS-CM2_CCAM	[-]	0.833	0.833	0.741	0.0916	0.322	1.88	0.867	0.747	0.776	0.909	0.809
ACCESS-CM2_CMIP6	[-]	0.681	0.681	0.651	0.0296	0.387	1.27	0.872	0.604	0.822	0.993	0.779
ACCESS-ESM1-5_BARPA	[-]	0.658	0.658	0.728	-0.0698	0.403	2.56	0.845	0.681	0.670	0.928	0.761
ACCESS-ESM1-5_CCAM	[-]	0.680	0.680	0.741	-0.0609	0.349	2.23	0.879	0.710	0.701	0.754	0.751
ACCESS-ESM1-5_CMIP6	[-]	0.696	0.696	0.772	-0.0764	0.558	3.01	0.862	0.504	0.450	0.182	0.500
CESM2_BARPA	[-]	0.630	0.630	0.728	-0.0975	0.390	3.16	0.840	0.696	0.550	0.973	0.751
CESM2_CCAM	[-]	0.506	0.506	0.741	-0.235	0.358	1.35	0.777	0.760	0.855	0.870	0.804
CESM2_CMIP6	[-]	0.809	0.809	0.692	0.117	0.489	4.48	0.859	0.552	0.206	0.849	0.603
CMCC-ESM2_BARPA	[-]	0.677	0.677	0.728	-0.0504	0.434	2.71	0.847	0.664	0.581	0.933	0.738
CMCC-ESM2_CCAM	[-]	1.16	1.16	0.741	0.417	0.572	2.23	0.662	0.693	0.684	0.871	0.721
CMCC-ESM2_CMIP6	[-]	0.765	0.765	0.692	0.0729	0.387	3.20	0.869	0.629	0.410	0.798	0.667
CNRM-ESM2-1_CCAM	[-]	0.751	0.751	0.741	0.0103	0.291	2.04	0.892	0.757	0.736	0.889	0.806
CNRM-ESM2-1_CMIP6	[-]	0.551	0.551	0.577	-0.0256	0.268	1.62	0.865	0.716	0.749	0.637	0.736
EC-Earth3_BARPA	[-]	0.426	0.426	0.728	-0.302	0.471	2.59	0.699	0.704	0.635	0.932	0.735
EC-Earth3_CCAM	[-]	0.649	0.649	0.741	-0.0925	0.402	2.78	0.883	0.667	0.607	0.906	0.746
EC-Earth3_CMIP6	[-]	0.424	0.424	0.727	-0.304	0.524	3.60	0.696	0.616	0.427	0.763	0.624
ERA5_BARPA	[-]	0.772	0.772	0.729	0.0432	0.362	2.76	0.842	0.721	0.596	0.951	0.766
ERA5_CCAM	[-]	0.865	0.865	0.742	0.123	0.302	2.10	0.846	0.776	0.709	0.958	0.813
MPI-ESM1-2-HR_BARPA	[-]	0.618	0.618	0.728	-0.110	0.370	2.65	0.837	0.713	0.604	0.972	0.768
MPI-ESM1-2-HR_CMIP6	[-]	0.295	0.295	0.722	-0.427	0.531	1.93	0.587	0.680	0.761	0.285	0.598
NorESM2-MM_BARPA	[-]	0.853	0.853	0.728	0.125	0.413	2.50	0.815	0.696	0.627	0.967	0.760
NorESM2-MM_CCAM	[-]	1.15	1.15	0.741	0.412	0.565	1.89	0.667	0.690	0.782	0.926	0.751
NorESM2-MM_CMIP6	[-]	1.06	1.06	0.692	0.366	0.460	2.77	0.653	0.724	0.567	0.252	0.584

	Download Data	Period Mean (original grids) [d]	Model Period Mean (intersection) [d]	Benchmark Period Mean (intersection) [d]	Model Period Mean (complement) [d]	Bias [d]	RMSE [d]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	0.949
ACCESS-CM2_BARPA	[-]	0.808	0.808	0.941	0.726	-0.133	0.601	1.66	0.802	0.640	0.793	0.627	0.701
ACCESS-CM2_CCAM	[-]	0.867	0.868	0.944	0.713	-0.0759	0.436	1.02	0.839	0.734	0.909	0.721	0.787
ACCESS-CM2_CMIP6	[-]	0.635	0.635	0.869		-0.233	0.648	1.87	0.763	0.557	0.700	0.250	0.565
ACCESS-ESM1-5_BARPA	[-]	0.626	0.626	0.941	0.590	-0.315	0.599	1.73	0.749	0.667	0.797	0.415	0.659
ACCESS-ESM1-5_CCAM	[-]	0.618	0.619	0.944	0.463	-0.325	0.499	0.906	0.755	0.735	0.920	0.528	0.734
ACCESS-ESM1-5_CMIP6	[-]	0.533	0.533	0.935		-0.403	0.818	3.94	0.676	0.521	0.428	0.144	0.458
CESM2_BARPA	[-]	0.666	0.667	0.941	0.489	-0.274	0.547	1.79	0.774	0.688	0.780	0.754	0.737
CESM2_CCAM	[-]	0.906	0.910	0.944	0.421	-0.0335	0.561	1.24	0.894	0.646	0.884	0.992	0.812
CESM2_CMIP6	[-]	0.532	0.532	0.955		-0.423	0.585	1.09	0.676	0.692	0.887	0.400	0.669
CMCC-ESM2_BARPA	[-]	0.633	0.634	0.941	0.506	-0.308	0.574	1.98	0.757	0.678	0.763	0.568	0.689
CMCC-ESM2_CCAM	[-]	1.14	1.14	0.944	0.984	0.195	0.532	1.90	0.782	0.721	0.794	0.727	0.749
CMCC-ESM2_CMIP6	[-]	0.771	0.771	0.955		-0.184	0.554	1.53	0.767	0.674	0.834	0.450	0.680
CNRM-ESM2-1_CCAM	[-]	0.952	0.954	0.944	0.740	0.0103	0.463	1.63	0.827	0.723	0.826	0.717	0.763
CNRM-ESM2-1_CMIP6	[-]	1.05	1.05	0.933		0.114	0.513	1.17	0.831	0.649	0.897	0.983	0.802
EC-Earth3_BARPA	[-]	0.696	0.698	0.941	0.410	-0.244	0.513	1.41	0.788	0.706	0.846	0.819	0.773
EC-Earth3_CCAM	[-]	0.998	1.00	0.944	0.539	0.0579	0.461	1.07	0.878	0.711	0.901	0.986	0.837
EC-Earth3_CMIP6	[-]	0.679	0.679	0.944		-0.264	0.665	2.08	0.779	0.601	0.743	0.775	0.700
ERA5_BARPA	[-]	0.871	0.871	0.939	0.748	-0.0676	0.484	1.92	0.810	0.711	0.766	0.650	0.730
ERA5_CCAM	[-]	0.840	0.843	0.941	0.582	-0.0987	0.363	1.10	0.850	0.784	0.896	0.747	0.812
MPI-ESM1-2-HR_BARPA	[-]	0.639	0.640	0.941	0.466	-0.301	0.525	1.39	0.768	0.706	0.855	0.682	0.743
MPI-ESM1-2-HR_CMIP6	[-]	0.346	0.346	0.915		-0.570	0.718	1.15	0.588	0.677	0.869	0.144	0.591
NorESM2-MM_BARPA	[-]	0.897	0.897	0.941	0.829	-0.0443	0.586	1.38	0.789	0.657	0.853	0.745	0.740
NorESM2-MM_CCAM	[-]	0.883	0.883	0.944	0.908	-0.0606	0.559	1.09	0.780	0.685	0.910	0.267	0.665
NorESM2-MM_CMIP6	[-]	0.792	0.792	0.955		-0.163	0.527	0.870	0.780	0.673	0.928	0.291	0.669

	Download Data	Period Mean (original grids) [d]	Model Period Mean (intersection) [d]	Benchmark Period Mean (intersection) [d]	Model Period Mean (complement) [d]	Bias [d]	RMSE [d]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	3.52
ACCESS-CM2_BARPA	[-]	2.74	2.74	3.52	2.77	-0.774	1.61	0.182	0.836	0.755	0.986	0.959	0.858
ACCESS-CM2_CCAM	[-]	2.07	2.04	3.53	2.30	-1.48	2.49	0.414	0.723	0.661	0.969	0.790	0.761
ACCESS-CM2_CMIP6	[-]	1.76	1.76	3.40		-1.65	2.69	0.198	0.680	0.627	0.987	0.614	0.707
ACCESS-ESM1-5_BARPA	[-]	3.08	3.07	3.52	3.30	-0.452	1.16	0.350	0.879	0.813	0.978	0.955	0.887
ACCESS-ESM1-5_CCAM	[-]	3.37	3.33	3.53	3.78	-0.192	1.49	0.192	0.895	0.751	0.985	0.988	0.874
ACCESS-ESM1-5_CMIP6	[-]	3.71	3.71	3.63		0.0809	2.01	0.00	0.952	0.665	1.00	0.977	0.852
CESM2_BARPA	[-]	2.33	2.31	3.52	2.52	-1.20	1.77	0.264	0.769	0.758	0.975	0.978	0.848
CESM2_CCAM	[-]	2.65	2.67	3.53	2.50	-0.860	1.88	0.659	0.809	0.718	0.954	0.941	0.828
CESM2_CMIP6	[-]	2.91	2.91	3.42		-0.515	1.63	0.442	0.885	0.729	0.968	0.981	0.858
CMCC-ESM2_BARPA	[-]	2.30	2.28	3.52	2.63	-1.24	1.88	0.331	0.764	0.741	0.974	0.983	0.841
CMCC-ESM2_CCAM	[-]	2.93	2.89	3.53	3.30	-0.635	1.22	0.121	0.857	0.813	0.988	0.891	0.873
CMCC-ESM2_CMIP6	[-]	3.31	3.31	3.42		-0.107	0.930	0.00	0.898	0.852	1.00	0.992	0.919
CNRM-ESM2-1_CCAM	[-]	2.31	2.28	3.53	2.62	-1.25	2.02	0.173	0.764	0.727	0.985	0.941	0.829
CNRM-ESM2-1_CMIP6	[-]	1.94	1.94	3.45		-1.51	2.52	0.164	0.730	0.658	0.990	0.977	0.803
EC-Earth3_BARPA	[-]	3.13	3.10	3.52	3.58	-0.421	1.32	0.646	0.840	0.808	0.957	0.941	0.871
EC-Earth3_CCAM	[-]	3.38	3.34	3.53	3.79	-0.188	1.41	0.935	0.898	0.762	0.935	0.976	0.867
EC-Earth3_CMIP6	[-]	3.97	3.97	3.44		0.526	2.36	0.758	0.821	0.641	0.952	0.605	0.732
ERA5_BARPA	[-]	3.24	3.23	3.53	3.46	-0.305	1.31	0.140	0.891	0.780	0.988	0.970	0.882
ERA5_CCAM	[-]	3.18	3.15	3.54	3.52	-0.394	0.933	0.208	0.895	0.848	0.984	0.950	0.905
MPI-ESM1-2-HR_BARPA	[-]	2.49	2.48	3.52	2.68	-1.04	1.61	0.0426	0.800	0.781	0.994	0.961	0.864
MPI-ESM1-2-HR_CMIP6	[-]	1.67	1.67	3.40		-1.73	2.83	0.262	0.671	0.636	0.981	0.582	0.701
NorESM2-MM_BARPA	[-]	3.16	3.13	3.52	3.49	-0.385	1.32	0.667	0.867	0.783	0.954	0.980	0.873
NorESM2-MM_CCAM	[-]	3.76	3.72	3.53	4.23	0.194	1.01	0.593	0.894	0.840	0.957	0.962	0.899
NorESM2-MM_CMIP6	[-]	3.68	3.68	3.42		0.259	1.11	0.105	0.903	0.818	0.995	0.949	0.897

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
All Models
Data Information

Title:: Interpolated Rain Gauge Precipitation

Institution:: Australian Bureau of Meteorology, GPO Box 1289, Melbourne VIC 3001, Australia

History:: Thu Sep 19 19:25:38 2024: ncatted -a missing_value,R10mm,d,, /g/data/xv83/users/bxn599/ACS/icclim_indices_acs/agcd/indices/none/none/AUS-r005/BOM/AGCD/historical/none/none/none/climdex/R10mm/v20240411/R10mm_AUS-r005_AGCD_historical_none_BOM_none_none_mon_19790101-20211231_masked.nc.tmp Wed Aug 28 13:49:53 2024: cdo -f nc4c -b f32 -z zip_1 --shuffle setmissval,1.e+20 /g/data/xv83/users/bxn599/ACS/icclim_indices_acs/agcd/indices/none/none/AUS-r005/BOM/AGCD/historical/none/none/none/climdex/R10mm/v20240411/R10mm_AUS-r005_AGCD_historical_none_BOM_none_none_mon_19790101-20211231_masked.nc /g/data/xv83/users/bxn599/ACS/icclim_indices_acs/agcd/indices/none/none/AUS-r005/BOM/AGCD/historical/none/none/none/climdex/R10mm/v20240411/R10mm_AUS-r005_AGCD_historical_none_BOM_none_none_mon_19790101-20211231_masked_compressed.nc Wed Jun 05 08:51:54 2024: cdo ifthen /g/data/xv83/users/bxn599/ACS/evaluation/AGCDv1_precip_weights_1985-2014_average.nc ./indices/none/none/AUS-r005/BOM/AGCD/historical/none/none/none/climdex/R10mm/v20240411/R10mm_AUS-r005_AGCD_historical_none_BOM_none_none_mon_19790101-20211231.nc ./indices/none/none/AUS-r005/BOM/AGCD/historical/none/none/none/climdex/R10mm/v20240411/R10mm_AUS-r005_AGCD_historical_none_BOM_none_none_mon_19790101-20211231_masked.nc Wed May 15 14:02:19 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 1979-01-01 --end_date 2021-12-31 --input_files /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19000101-19001231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19010101-19011231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19020101-19021231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19030101-19031231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19040101-19041231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19050101-19051231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19060101-19061231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19070101-19071231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19080101-19081231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19090101-19091231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19100101-19101231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19110101-19111231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19120101-19121231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19130101-19131231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19140101-19141231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19150101-19151231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19160101-19161231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19170101-19171231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19180101-19181231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19190101-19191231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19200101-19201231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19210101-19211231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19220101-19221231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19230101-19231231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19240101-19241231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19250101-19251231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19260101-19261231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19270101-19271231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19280101-19281231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19290101-19291231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19300101-19301231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19310101-19311231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19320101-19321231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19330101-19331231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19340101-19341231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19350101-19351231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19360101-19361231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19370101-19371231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19380101-19381231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19390101-19391231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19400101-19401231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19410101-19411231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19420101-19421231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19430101-19431231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19440101-19441231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19450101-19451231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19460101-19461231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19470101-19471231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19480101-19481231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19490101-19491231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19500101-19501231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19510101-19511231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19520101-19521231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19530101-19531231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19540101-19541231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19550101-19551231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19560101-19561231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19570101-19571231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19580101-19581231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19590101-19591231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19600101-19601231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19610101-19611231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19620101-19621231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19630101-19631231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19640101-19641231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19650101-19651231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19660101-19661231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19670101-19671231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19680101-19681231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19690101-19691231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19700101-19701231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19710101-19711231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19720101-19721231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19730101-19731231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19740101-19741231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19750101-19751231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19760101-19761231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19770101-19771231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19780101-19781231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19790101-19791231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19800101-19801231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19810101-19811231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19820101-19821231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19830101-19831231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19840101-19841231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19850101-19851231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19860101-19861231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19870101-19871231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19880101-19881231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19890101-19891231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19900101-19901231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19910101-19911231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19920101-19921231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19930101-19931231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19940101-19941231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19950101-19951231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19960101-19961231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19970101-19971231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19980101-19981231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19990101-19991231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_20000101-20001231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_20010101-20011231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_20020101-20021231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_20030101-20031231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_20040101-20041231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_20050101-20051231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_20060101-20061231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_20070101-20071231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_20080101-20081231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_20090101-20091231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_20100101-20101231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_20110101-20111231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_20120101-20121231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_20130101-20131231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_20140101-20141231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_20150101-20151231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_20160101-20161231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_20170101-20171231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_20180101-20181231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_20190101-20191231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_20200101-20201231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_20210101-20211231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_20220101-20221231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_20230101-20231231_daily.nc --variable precip --drop_time_bounds R10mm /g/data/xv83/users/bxn599/ACS/icclim_indices_acs/agcd/indices/none/none/AUS-r005/BOM/AGCD/historical/none/none/none/climdex/R10mm/v20240411/R10mm_AUS-r005_AGCD_historical_none_BOM_none_none_mon_19790101-20211231.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)

Geospatial_lat_min:: -44.525

Geospatial_lat_max:: -9.975

Geospatial_lon_min:: 111.975

Geospatial_lon_max:: 156.275

Time_coverage_start:: 1899-12-31T09:00:00

Time_coverage_end:: 1900-01-01T09:00:00

Original_aifs_header:: SOUTHWEST_LATITUDE: 44.5, SOUTHWEST_LONGITUDE: 112.0, NUMBER_OF_LONGITUDES_IN_GRID: 886, RAINFALL_ANALYSIS: 1900010119000101, LENGTH_SCALE_FOR_ANALYSIS: 80.0, BUREAU_OF_METEOROLOGY, NUMBER_OF_LATITUDES_IN_GRID: 691, GRID_INCREMENT_OF_LONGITUDE: 0.05, GRID_INCREMENT_OF_LATITUDE: 0.05, ROW_CHANGES_WITH_LONGITUDE, NUMBER_OF_STATIONS_REPORTING: 2757, ANALYSIS_TIME: 2010-10-23 14:49:46 UTC, COLUMN_NUMBER_AT_SOUTHWEST_CORNER: 1, ROW_NUMBER_AT_SOUTHWEST_CORNER: 1, ANALYSIS_VERSION_NUMBER: 3.01, LATITUDE_-_LONGITUDE_GRID

Date_created:: 2017-01-17T22:13:51.976225

Bom-cmp-awap_version:: bom-cmp-awap-1.00-89.0.x86_64

Bom-cmp-util_aifs2nc_version:: bom-cmp-util_aifs2nc-v1.1.0-2.x86_64

Netcdf_version:: 4.3.0 of Jul 16 2013 05:46:56 $

Uuid:: 14333ae2-28fe-4cb6-9f00-677adc94f25e

Keywords_reference:: Global Change Master Directory (GCMD). 2015. GCMD Keywords, Version 8.1. Greenbelt, MD: Global Change Data Center, Science and Exploration Directorate, Goddard Space Flight Center (GSFC) National Aeronautics and Space Administration (NASA). URL:http://gcmd.nasa.gov/learn/keywords.html

Acknowledgment:: The Australian Government, Bureau of Meteorology; The Australian Water Availability Project; The AusCover facility of the Terrestrial Ecosystem Research Network (TERN)

Copyright:: (C) Copyright Commonwealth of Australia 2017, Bureau of Meteorology (ABN 92637 533532), see http://www.bom.gov.au/other/copyright.shtml for terms and conditions of reuse.

Keywords_vocabulary:: GCMD Science Keywords, Version 8.1

Standard_name_vocabulary:: CF Standard Names, v28

Keywords:: Earth Science, Atmosphere, Precipitation, Precipitation Amount, Liquid Water Equivalent

Data_format:: netCDF4 with zlib compression

Cdm_data_type:: Grid

Analysis_components:: total: the gridded accumulation of rainfall.

Url:: http://www.bom.gov.au/climate/

Licence:: Copyright for any data supplied by the Bureau of Meteorology is held in the Commonwealth of Australia and the purchaser shall give acknowledgement of the source in reference to the data. Apart from dealings under the Copyright Act 1968, the purchaser shall not reproduce (electronically or otherwise), modify or supply (by sale or otherwise) these data without written permission from the supplier.

Id:: Australian Gridded Climate Data (AGCD)

Summary:: The daily and monthly rainfall data represents the amount of precipitation of any type (including the liquid equivalent of frozen hydrometeors such as hail and snow) observed by means of rain gauges stationed across Australia. These gauges measure millimetres of liquid water depth over a 24-hour period running from 9am local clock time the previous day to 9am on the observed day. Rainfall data from up to 6500 sites across the country are analysed, with limited quality control, onto 0.05x0.05 degree grids using the technique described in Jones et al. (2009). Monthly rainfall totals are calculated from the accumulation of the contributing daily rainfall totals, and may incorporate multi-day rainfall totals if observations were missing on any one day. Weekly rainfall totals are calculated from the sum of the daily grids. Multi-month rainfall totals are calculated from the sum of monthly grids. Month-to-date and Year-to-date rainfall grids are calculated from the sum of the contributing monthly and daily grids.

Naming_authority:: au.gov.bom

Icclim_version:: 6.5.0

Project_id:: indices

Frequency:: climdex

Variable_id:: R10mm

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