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	[-]	4.74
ACCESS-CM2_BARPA	[-]	5.36	5.56	4.71	4.53	0.852	1.62	0.992	0.794	0.755	0.905	0.984	0.839
ACCESS-CM2_CCAM	[-]	5.40	5.57	4.73	4.76	0.845	2.04	1.15	0.754	0.704	0.879	0.948	0.798
ACCESS-CM2_CMIP6	[-]	5.61	5.72	4.60	4.39	1.12	2.17	1.14	0.713	0.678	0.876	0.946	0.778
ACCESS-ESM1-5_BARPA	[-]	5.25	5.46	4.71	4.41	0.744	1.76	1.09	0.792	0.717	0.883	0.984	0.819
ACCESS-ESM1-5_CCAM	[-]	5.32	5.62	4.73	4.17	0.895	2.25	1.06	0.722	0.682	0.885	0.972	0.788
ACCESS-ESM1-5_CMIP6	[-]	5.92	6.05	4.49	4.31	1.56	2.65	1.39	0.656	0.619	0.831	0.978	0.741
CESM2_BARPA	[-]	4.64	4.90	4.71	3.57	0.193	1.47	0.987	0.845	0.729	0.893	0.990	0.837
CESM2_CCAM	[-]	3.70	4.08	4.73	2.30	-0.650	1.84	1.43	0.810	0.695	0.854	0.985	0.808
CESM2_CMIP6	[-]	5.80	6.01	4.54	4.01	1.47	2.34	0.917	0.670	0.674	0.897	0.973	0.777
CMCC-ESM2_BARPA	[-]	4.56	4.75	4.71	3.78	0.0381	1.60	1.05	0.855	0.715	0.892	0.984	0.832
CMCC-ESM2_CCAM	[-]	6.84	6.94	4.73	6.46	2.21	3.05	1.27	0.625	0.648	0.849	0.954	0.745
CMCC-ESM2_CMIP6	[-]	7.81	7.94	4.54	6.70	3.40	4.74	1.24	0.478	0.515	0.858	0.934	0.660
CNRM-ESM2-1_CCAM	[-]	5.74	5.94	4.73	5.01	1.21	2.38	1.13	0.731	0.661	0.864	0.961	0.776
CNRM-ESM2-1_CMIP6	[-]	3.62	3.78	4.54	1.94	-0.761	1.86	1.39	0.768	0.683	0.863	0.970	0.793
EC-Earth3_BARPA	[-]	4.00	4.29	4.71	2.85	-0.420	1.27	0.958	0.841	0.770	0.902	0.988	0.854
EC-Earth3_CCAM	[-]	5.27	5.55	4.73	4.22	0.820	2.35	1.33	0.785	0.632	0.845	0.983	0.775
EC-Earth3_CMIP6	[-]	4.69	4.93	4.61	3.11	0.322	2.44	1.33	0.775	0.618	0.859	0.952	0.764
ERA5_BARPA	[-]	5.25	5.48	4.73	4.33	0.755	1.46	0.957	0.817	0.768	0.901	0.985	0.848
ERA5_CCAM	[-]	5.72	6.01	4.74	4.64	1.27	2.10	1.03	0.720	0.729	0.884	0.981	0.809
MPI-ESM1-2-HR_BARPA	[-]	3.88	4.09	4.71	3.05	-0.625	1.41	0.938	0.810	0.770	0.910	0.986	0.849
MPI-ESM1-2-HR_CMIP6	[-]	2.27	2.41	4.60	1.27	-2.19	2.74	1.07	0.559	0.702	0.898	0.935	0.759
NorESM2-MM_BARPA	[-]	5.49	5.69	4.71	4.68	0.977	1.79	1.10	0.777	0.721	0.894	0.989	0.821
NorESM2-MM_CCAM	[-]	6.26	6.43	4.73	5.60	1.70	2.32	1.00	0.681	0.743	0.908	0.961	0.807
NorESM2-MM_CMIP6	[-]	7.00	7.16	4.54	5.64	2.62	3.03	1.03	0.553	0.725	0.901	0.977	0.776

	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	[-]	5.55
ACCESS-CM2_BARPA	[-]	6.42	6.42	5.56	0.859	1.37	0.830	0.781	0.738	0.919	0.995	0.845
ACCESS-CM2_CCAM	[-]	6.80	6.80	5.56	1.24	1.80	0.841	0.702	0.691	0.912	0.984	0.807
ACCESS-CM2_CMIP6	[-]	7.49	7.49	5.51	1.98	2.51	1.09	0.538	0.615	0.864	0.940	0.725
ACCESS-ESM1-5_BARPA	[-]	6.53	6.53	5.56	0.970	1.80	0.611	0.762	0.652	0.925	0.949	0.803
ACCESS-ESM1-5_CCAM	[-]	7.38	7.38	5.56	1.82	2.52	0.408	0.602	0.612	0.942	0.986	0.766
ACCESS-ESM1-5_CMIP6	[-]	8.28	8.28	5.64	2.64	3.45	0.543	0.462	0.521	0.941	0.810	0.665
CESM2_BARPA	[-]	6.15	6.15	5.56	0.586	1.40	0.338	0.838	0.699	0.955	0.997	0.853
CESM2_CCAM	[-]	4.91	4.91	5.56	-0.645	1.39	0.893	0.821	0.713	0.897	0.963	0.834
CESM2_CMIP6	[-]	8.13	8.13	5.58	2.55	3.25	0.341	0.455	0.545	0.955	0.999	0.717
CMCC-ESM2_BARPA	[-]	5.72	5.72	5.56	0.156	1.27	0.408	0.910	0.700	0.952	0.999	0.869
CMCC-ESM2_CCAM	[-]	7.82	7.82	5.56	2.26	2.91	0.648	0.524	0.591	0.926	0.981	0.737
CMCC-ESM2_CMIP6	[-]	8.80	8.80	5.58	3.22	4.07	0.652	0.371	0.467	0.934	0.998	0.667
CNRM-ESM2-1_CCAM	[-]	6.66	6.66	5.56	1.10	1.94	0.920	0.729	0.634	0.900	0.985	0.792
CNRM-ESM2-1_CMIP6	[-]	5.09	5.09	5.54	-0.453	1.76	1.63	0.735	0.652	0.791	0.608	0.691
EC-Earth3_BARPA	[-]	4.54	4.54	5.56	-1.03	1.36	0.468	0.738	0.778	0.936	0.922	0.836
EC-Earth3_CCAM	[-]	6.06	6.06	5.56	0.503	1.99	0.508	0.846	0.576	0.933	0.964	0.802
EC-Earth3_CMIP6	[-]	4.48	4.48	5.55	-1.07	1.45	0.990	0.721	0.764	0.890	0.984	0.831
ERA5_BARPA	[-]	6.06	6.06	5.57	0.489	1.04	0.314	0.859	0.776	0.960	0.997	0.884
ERA5_CCAM	[-]	7.19	7.19	5.57	1.62	2.00	0.663	0.631	0.716	0.929	0.974	0.802
MPI-ESM1-2-HR_BARPA	[-]	3.96	3.96	5.56	-1.60	1.80	1.26	0.622	0.792	0.871	0.958	0.809
MPI-ESM1-2-HR_CMIP6	[-]	2.66	2.66	5.63	-2.98	3.15	1.92	0.400	0.738	0.753	0.986	0.721
NorESM2-MM_BARPA	[-]	6.43	6.43	5.56	0.868	1.53	0.762	0.773	0.700	0.896	0.993	0.825
NorESM2-MM_CCAM	[-]	7.07	7.07	5.56	1.51	1.83	0.653	0.653	0.750	0.925	0.928	0.807
NorESM2-MM_CMIP6	[-]	8.48	8.48	5.58	2.90	3.10	1.05	0.415	0.717	0.908	0.953	0.745

	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	[-]	6.89
ACCESS-CM2_BARPA	[-]	7.52	7.52	6.91	0.614	1.45	0.568	0.841	0.742	0.939	0.993	0.868
ACCESS-CM2_CCAM	[-]	7.21	7.21	6.90	0.308	1.54	0.960	0.819	0.747	0.872	0.930	0.830
ACCESS-CM2_CMIP6	[-]	7.52	7.52	7.34	0.176	1.85	0.928	0.764	0.715	0.895	0.788	0.755
ACCESS-ESM1-5_BARPA	[-]	7.90	7.90	6.91	0.997	1.87	0.605	0.785	0.703	0.937	0.982	0.842
ACCESS-ESM1-5_CCAM	[-]	8.39	8.39	6.90	1.49	2.14	0.772	0.716	0.732	0.885	0.955	0.814
ACCESS-ESM1-5_CMIP6	[-]	9.04	9.04	6.58	2.46	3.22	0.929	0.536	0.589	0.906	0.934	0.739
CESM2_BARPA	[-]	7.60	7.60	6.91	0.696	1.90	0.767	0.835	0.653	0.921	0.995	0.833
CESM2_CCAM	[-]	6.83	6.83	6.90	-0.0722	1.58	1.15	0.850	0.725	0.872	0.959	0.847
CESM2_CMIP6	[-]	9.81	9.81	6.81	3.00	3.37	0.505	0.458	0.698	0.958	0.965	0.752
CMCC-ESM2_BARPA	[-]	7.02	7.02	6.91	0.116	1.69	0.684	0.852	0.686	0.923	0.931	0.839
CMCC-ESM2_CCAM	[-]	8.40	8.40	6.90	1.50	2.10	0.848	0.697	0.721	0.878	0.984	0.808
CMCC-ESM2_CMIP6	[-]	11.1	11.1	6.81	4.30	5.08	0.579	0.328	0.536	0.950	0.858	0.633
CNRM-ESM2-1_CCAM	[-]	7.49	7.49	6.90	0.587	1.84	1.06	0.798	0.703	0.856	0.845	0.797
CNRM-ESM2-1_CMIP6	[-]	6.84	6.84	6.83	0.00254	1.89	1.24	0.769	0.669	0.860	0.917	0.789
EC-Earth3_BARPA	[-]	6.29	6.29	6.91	-0.621	1.50	0.653	0.841	0.740	0.934	0.973	0.860
EC-Earth3_CCAM	[-]	7.34	7.34	6.90	0.437	1.71	0.696	0.844	0.710	0.912	0.982	0.850
EC-Earth3_CMIP6	[-]	6.95	6.95	6.86	0.0924	1.94	0.875	0.831	0.657	0.919	0.954	0.805
ERA5_BARPA	[-]	7.54	7.54	6.93	0.613	1.26	0.629	0.848	0.781	0.922	0.996	0.877
ERA5_CCAM	[-]	8.21	8.21	6.92	1.29	1.71	0.740	0.746	0.795	0.904	0.963	0.847
MPI-ESM1-2-HR_BARPA	[-]	5.16	5.16	6.91	-1.74	2.13	1.04	0.653	0.753	0.897	0.983	0.814
MPI-ESM1-2-HR_CMIP6	[-]	3.40	3.40	6.96	-3.57	3.83	1.25	0.412	0.726	0.873	0.979	0.722
NorESM2-MM_BARPA	[-]	7.82	7.82	6.91	0.914	1.72	0.720	0.795	0.713	0.922	0.987	0.842
NorESM2-MM_CCAM	[-]	7.88	7.88	6.90	0.978	1.74	0.911	0.763	0.768	0.900	0.830	0.819
NorESM2-MM_CMIP6	[-]	9.66	9.66	6.81	2.85	3.09	0.925	0.484	0.741	0.903	0.996	0.770

	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	[-]	5.84
ACCESS-CM2_BARPA	[-]	6.72	6.64	5.86	7.97	0.777	1.98	0.562	0.859	0.797	0.964	0.981	0.883
ACCESS-CM2_CCAM	[-]	7.05	6.96	5.85	8.17	1.11	2.44	0.552	0.813	0.762	0.952	0.982	0.844
ACCESS-CM2_CMIP6	[-]	7.32	7.32	6.05		1.27	2.81	0.718	0.794	0.719	0.937	0.926	0.785
ACCESS-ESM1-5_BARPA	[-]	6.96	6.90	5.86	7.82	1.04	1.98	0.277	0.833	0.805	0.982	0.935	0.881
ACCESS-ESM1-5_CCAM	[-]	7.81	7.74	5.85	8.69	1.89	2.94	0.339	0.754	0.734	0.975	0.959	0.845
ACCESS-ESM1-5_CMIP6	[-]	8.09	8.09	5.92		2.17	3.36	0.334	0.721	0.689	0.977	0.984	0.825
CESM2_BARPA	[-]	5.44	5.40	5.86	6.10	-0.465	1.77	0.345	0.900	0.786	0.973	0.895	0.875
CESM2_CCAM	[-]	4.99	4.89	5.85	6.32	-0.962	2.68	0.711	0.843	0.698	0.953	0.991	0.859
CESM2_CMIP6	[-]	7.64	7.64	5.92		1.72	2.79	0.434	0.776	0.726	0.965	0.991	0.847
CMCC-ESM2_BARPA	[-]	5.44	5.38	5.86	6.35	-0.486	2.17	0.280	0.866	0.753	0.980	0.970	0.867
CMCC-ESM2_CCAM	[-]	8.44	8.32	5.85	9.91	2.47	3.44	0.551	0.703	0.719	0.964	0.973	0.827
CMCC-ESM2_CMIP6	[-]	10.8	10.8	5.92		4.93	6.62	0.330	0.487	0.528	0.976	0.981	0.722
CNRM-ESM2-1_CCAM	[-]	8.06	7.94	5.85	9.71	2.09	3.13	0.340	0.731	0.724	0.973	0.985	0.840
CNRM-ESM2-1_CMIP6	[-]	4.27	4.27	5.94		-1.68	3.06	0.438	0.764	0.696	0.968	0.963	0.829
EC-Earth3_BARPA	[-]	5.89	5.81	5.86	7.08	-0.0527	1.40	0.281	0.901	0.838	0.980	0.986	0.913
EC-Earth3_CCAM	[-]	7.92	7.78	5.85	9.63	1.93	3.21	0.445	0.749	0.693	0.966	0.985	0.836
EC-Earth3_CMIP6	[-]	7.81	7.79	5.91	10.0	1.88	4.35	0.805	0.757	0.559	0.929	0.932	0.780
ERA5_BARPA	[-]	6.73	6.66	5.89	7.76	0.764	1.84	0.299	0.869	0.798	0.980	0.965	0.891
ERA5_CCAM	[-]	8.30	8.20	5.88	9.68	2.31	3.01	0.401	0.709	0.762	0.970	0.992	0.851
MPI-ESM1-2-HR_BARPA	[-]	5.13	5.02	5.86	6.68	-0.841	1.90	0.319	0.849	0.797	0.979	0.983	0.882
MPI-ESM1-2-HR_CMIP6	[-]	3.34	3.31	5.90	7.51	-2.59	3.72	0.516	0.662	0.683	0.967	0.969	0.805
NorESM2-MM_BARPA	[-]	6.62	6.55	5.86	7.57	0.689	2.12	0.256	0.880	0.756	0.981	0.974	0.882
NorESM2-MM_CCAM	[-]	8.19	8.11	5.85	9.28	2.26	2.80	0.384	0.720	0.791	0.975	0.956	0.849
NorESM2-MM_CMIP6	[-]	9.11	9.11	5.92		3.19	3.65	0.340	0.622	0.768	0.975	0.995	0.828

	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	[-]	5.70
ACCESS-CM2_BARPA	[-]	6.56	6.56	5.71	0.852	1.25	0.987	0.777	0.775	0.902	0.988	0.851
ACCESS-CM2_CCAM	[-]	6.17	6.17	5.70	0.474	1.42	1.19	0.809	0.708	0.833	0.993	0.822
ACCESS-CM2_CMIP6	[-]	7.13	7.13	5.74	1.39	1.93	1.59	0.682	0.696	0.787	0.994	0.779
ACCESS-ESM1-5_BARPA	[-]	5.93	5.93	5.71	0.222	1.30	2.00	0.895	0.704	0.758	0.998	0.824
ACCESS-ESM1-5_CCAM	[-]	5.57	5.57	5.70	-0.128	1.60	2.33	0.860	0.653	0.663	0.995	0.777
ACCESS-ESM1-5_CMIP6	[-]	6.93	6.93	5.91	1.02	2.26	2.90	0.673	0.615	0.579	0.873	0.677
CESM2_BARPA	[-]	6.35	6.35	5.71	0.643	1.26	1.56	0.821	0.740	0.792	0.977	0.822
CESM2_CCAM	[-]	4.75	4.75	5.70	-0.950	1.52	0.702	0.751	0.726	0.912	0.989	0.832
CESM2_CMIP6	[-]	7.56	7.56	5.84	1.72	2.24	2.64	0.614	0.665	0.612	0.987	0.713
CMCC-ESM2_BARPA	[-]	5.98	5.98	5.71	0.273	1.09	1.64	0.895	0.748	0.796	0.996	0.847
CMCC-ESM2_CCAM	[-]	7.37	7.37	5.70	1.67	2.34	2.80	0.627	0.648	0.592	0.992	0.707
CMCC-ESM2_CMIP6	[-]	7.48	7.48	5.84	1.64	2.35	3.23	0.625	0.644	0.527	0.983	0.689
CNRM-ESM2-1_CCAM	[-]	5.82	5.82	5.70	0.121	1.43	1.98	0.871	0.680	0.716	0.964	0.794
CNRM-ESM2-1_CMIP6	[-]	5.69	5.69	5.83	-0.144	1.48	0.872	0.814	0.686	0.915	0.918	0.817
EC-Earth3_BARPA	[-]	4.93	4.93	5.71	-0.780	1.44	1.69	0.795	0.711	0.807	0.985	0.812
EC-Earth3_CCAM	[-]	5.50	5.50	5.70	-0.198	2.02	3.39	0.902	0.569	0.514	0.972	0.720
EC-Earth3_CMIP6	[-]	4.90	4.90	5.79	-0.887	1.54	1.57	0.763	0.698	0.815	0.996	0.805
ERA5_BARPA	[-]	6.41	6.41	5.71	0.699	1.10	1.25	0.809	0.801	0.842	0.998	0.856
ERA5_CCAM	[-]	6.37	6.37	5.70	0.668	1.46	2.13	0.791	0.713	0.686	0.983	0.784
MPI-ESM1-2-HR_BARPA	[-]	5.45	5.45	5.71	-0.258	1.10	0.716	0.862	0.759	0.925	0.987	0.870
MPI-ESM1-2-HR_CMIP6	[-]	3.66	3.66	5.67	-2.01	2.42	0.948	0.556	0.692	0.915	0.991	0.778
NorESM2-MM_BARPA	[-]	6.97	6.97	5.71	1.27	1.62	0.929	0.690	0.748	0.920	0.976	0.824
NorESM2-MM_CCAM	[-]	6.82	6.82	5.70	1.12	1.42	0.554	0.724	0.800	0.954	0.992	0.860
NorESM2-MM_CMIP6	[-]	8.06	8.06	5.84	2.22	2.37	1.45	0.541	0.792	0.823	0.934	0.775

	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	[-]	3.04
ACCESS-CM2_BARPA	[-]	4.19	4.14	3.02	4.30	1.12	1.50	1.30	0.710	0.740	0.830	0.976	0.792
ACCESS-CM2_CCAM	[-]	4.40	4.34	3.03	4.52	1.32	1.97	1.54	0.666	0.654	0.808	0.904	0.753
ACCESS-CM2_CMIP6	[-]	4.42	4.43	2.99	4.39	1.44	1.94	1.31	0.629	0.662	0.830	0.955	0.750
ACCESS-ESM1-5_BARPA	[-]	4.06	4.01	3.02	4.18	0.986	1.64	1.46	0.730	0.672	0.793	0.962	0.774
ACCESS-ESM1-5_CCAM	[-]	3.96	4.03	3.03	3.83	1.00	1.99	1.38	0.667	0.642	0.838	0.654	0.731
ACCESS-ESM1-5_CMIP6	[-]	4.53	4.56	2.98	4.31	1.58	2.24	1.67	0.601	0.608	0.763	0.852	0.706
CESM2_BARPA	[-]	3.42	3.43	3.02	3.39	0.404	1.22	1.40	0.836	0.706	0.799	0.979	0.814
CESM2_CCAM	[-]	2.27	2.41	3.03	1.99	-0.620	1.58	2.18	0.804	0.641	0.686	0.948	0.745
CESM2_CMIP6	[-]	4.32	4.39	2.99	4.01	1.40	2.07	1.05	0.623	0.642	0.865	0.810	0.745
CMCC-ESM2_BARPA	[-]	3.46	3.39	3.02	3.61	0.363	1.39	1.50	0.857	0.663	0.800	0.935	0.797
CMCC-ESM2_CCAM	[-]	5.88	5.72	3.03	6.21	2.69	3.36	1.49	0.442	0.544	0.788	0.937	0.665
CMCC-ESM2_CMIP6	[-]	6.50	6.46	2.99	6.70	3.47	4.85	1.47	0.359	0.367	0.806	0.558	0.546
CNRM-ESM2-1_CCAM	[-]	4.63	4.61	3.03	4.68	1.59	2.36	1.32	0.622	0.587	0.817	0.910	0.722
CNRM-ESM2-1_CMIP6	[-]	2.24	2.29	2.96	1.94	-0.670	1.42	1.93	0.791	0.664	0.749	0.688	0.720
EC-Earth3_BARPA	[-]	2.68	2.74	3.02	2.57	-0.287	1.01	1.29	0.857	0.751	0.830	0.975	0.826
EC-Earth3_CCAM	[-]	3.90	3.93	3.03	3.82	0.907	2.20	1.65	0.736	0.550	0.774	0.859	0.720
EC-Earth3_CMIP6	[-]	3.12	3.16	3.00	2.99	0.160	1.93	1.70	0.786	0.581	0.772	0.853	0.735
ERA5_BARPA	[-]	4.02	3.99	3.03	4.10	0.955	1.39	1.43	0.742	0.730	0.798	0.985	0.800
ERA5_CCAM	[-]	4.35	4.38	3.04	4.27	1.34	1.96	1.33	0.661	0.668	0.815	0.782	0.748
MPI-ESM1-2-HR_BARPA	[-]	2.73	2.69	3.02	2.81	-0.330	1.01	1.32	0.853	0.760	0.832	0.869	0.815
MPI-ESM1-2-HR_CMIP6	[-]	1.31	1.34	3.01	1.20	-1.67	2.00	1.32	0.551	0.727	0.850	0.866	0.732
NorESM2-MM_BARPA	[-]	4.29	4.20	3.02	4.48	1.18	1.70	1.67	0.696	0.682	0.784	0.955	0.768
NorESM2-MM_CCAM	[-]	5.20	5.13	3.03	5.32	2.10	2.48	1.45	0.531	0.677	0.828	0.970	0.742
NorESM2-MM_CMIP6	[-]	5.75	5.77	2.99	5.64	2.78	3.11	1.35	0.426	0.659	0.844	0.923	0.718

	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	[-]	10.5
ACCESS-CM2_BARPA	[-]	11.4	11.4	10.6	0.845	1.78	0.578	0.783	0.762	0.951	0.967	0.852
ACCESS-CM2_CCAM	[-]	9.82	9.82	10.5	-0.722	1.87	0.893	0.776	0.735	0.902	0.996	0.829
ACCESS-CM2_CMIP6	[-]	10.5	10.5	10.7	-0.237	1.91	0.463	0.810	0.664	0.963	0.950	0.827
ACCESS-ESM1-5_BARPA	[-]	10.5	10.5	10.6	-0.0464	1.82	0.717	0.791	0.736	0.932	0.945	0.839
ACCESS-ESM1-5_CCAM	[-]	9.95	9.95	10.5	-0.599	2.09	1.12	0.762	0.702	0.873	0.968	0.811
ACCESS-ESM1-5_CMIP6	[-]	9.32	9.32	9.73	-0.408	1.84	0.790	0.800	0.662	0.905	0.893	0.821
CESM2_BARPA	[-]	11.7	11.7	10.6	1.13	2.14	0.625	0.741	0.717	0.943	0.962	0.818
CESM2_CCAM	[-]	10.6	10.6	10.5	0.0824	2.23	0.939	0.701	0.724	0.893	0.893	0.804
CESM2_CMIP6	[-]	11.5	11.5	10.2	1.35	2.43	0.518	0.740	0.655	0.954	0.970	0.752
CMCC-ESM2_BARPA	[-]	11.2	11.2	10.6	0.610	1.83	0.656	0.788	0.753	0.942	0.983	0.850
CMCC-ESM2_CCAM	[-]	11.2	11.2	10.5	0.665	2.11	0.940	0.756	0.722	0.908	0.964	0.813
CMCC-ESM2_CMIP6	[-]	11.2	11.2	10.2	1.03	2.72	1.74	0.641	0.716	0.811	0.946	0.723
CNRM-ESM2-1_CCAM	[-]	9.68	9.68	10.5	-0.868	2.12	1.49	0.773	0.677	0.821	0.993	0.799
CNRM-ESM2-1_CMIP6	[-]	12.6	12.6	11.3	1.27	3.01	1.25	0.582	0.693	0.873	0.940	0.723
EC-Earth3_BARPA	[-]	9.92	9.92	10.6	-0.673	1.89	0.808	0.796	0.715	0.912	0.993	0.846
EC-Earth3_CCAM	[-]	9.89	9.89	10.5	-0.657	2.04	1.04	0.768	0.712	0.877	0.993	0.818
EC-Earth3_CMIP6	[-]	10.3	10.3	10.5	-0.183	1.95	0.948	0.775	0.722	0.891	0.979	0.793
ERA5_BARPA	[-]	11.2	11.2	10.6	0.643	1.56	0.536	0.807	0.785	0.953	0.997	0.874
ERA5_CCAM	[-]	10.1	10.1	10.5	-0.447	1.70	0.570	0.770	0.773	0.940	0.933	0.850
MPI-ESM1-2-HR_BARPA	[-]	10.8	10.8	10.6	0.212	1.82	0.812	0.757	0.771	0.922	0.897	0.832
MPI-ESM1-2-HR_CMIP6	[-]	9.24	9.24	10.9	-1.69	3.37	1.38	0.602	0.629	0.855	0.983	0.702
NorESM2-MM_BARPA	[-]	12.1	12.1	10.6	1.47	2.22	0.583	0.713	0.730	0.951	0.993	0.829
NorESM2-MM_CCAM	[-]	10.6	10.6	10.5	0.0968	1.51	0.727	0.826	0.768	0.922	0.997	0.861
NorESM2-MM_CMIP6	[-]	11.6	11.6	10.2	1.37	2.03	0.778	0.755	0.730	0.896	0.918	0.783

	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	[-]	5.74
ACCESS-CM2_BARPA	[-]	5.69	5.70	5.72	4.49	-0.0188	1.60	0.828	0.871	0.700	0.917	0.938	0.851
ACCESS-CM2_CCAM	[-]	4.80	4.80	5.73	3.87	-0.925	1.94	0.708	0.792	0.672	0.915	0.904	0.815
ACCESS-CM2_CMIP6	[-]	5.22	5.22	5.70		-0.480	1.91	0.953	0.823	0.642	0.865	0.875	0.793
ACCESS-ESM1-5_BARPA	[-]	4.81	4.81	5.72	4.02	-0.906	1.95	0.899	0.790	0.667	0.897	0.843	0.807
ACCESS-ESM1-5_CCAM	[-]	4.01	4.01	5.73	2.92	-1.72	2.37	0.369	0.655	0.674	0.960	0.934	0.800
ACCESS-ESM1-5_CMIP6	[-]	4.47	4.47	5.61		-1.14	2.56	2.14	0.745	0.557	0.670	0.921	0.731
CESM2_BARPA	[-]	5.52	5.53	5.72	3.84	-0.190	1.43	0.291	0.872	0.729	0.968	0.993	0.875
CESM2_CCAM	[-]	5.07	5.08	5.73	3.00	-0.650	1.58	0.153	0.803	0.758	0.989	0.927	0.863
CESM2_CMIP6	[-]	4.93	4.93	5.74		-0.806	1.78	0.278	0.786	0.692	0.973	0.958	0.842
CMCC-ESM2_BARPA	[-]	5.17	5.18	5.72	3.87	-0.542	1.41	0.606	0.847	0.748	0.930	0.959	0.861
CMCC-ESM2_CCAM	[-]	6.23	6.24	5.73	5.55	0.506	2.08	1.46	0.828	0.639	0.801	0.918	0.779
CMCC-ESM2_CMIP6	[-]	5.77	5.77	5.74		0.0364	1.47	0.745	0.862	0.731	0.920	0.697	0.811
CNRM-ESM2-1_CCAM	[-]	5.33	5.33	5.73	4.62	-0.394	2.07	1.43	0.838	0.630	0.833	0.793	0.776
CNRM-ESM2-1_CMIP6	[-]	4.83	4.83	5.57		-0.736	1.62	0.574	0.772	0.722	0.960	0.992	0.849
EC-Earth3_BARPA	[-]	4.76	4.77	5.72	3.28	-0.952	1.63	0.601	0.778	0.739	0.950	0.948	0.841
EC-Earth3_CCAM	[-]	5.09	5.10	5.73	3.77	-0.625	1.88	0.928	0.827	0.667	0.883	0.952	0.815
EC-Earth3_CMIP6	[-]	4.67	4.67	5.72		-1.05	1.88	0.592	0.764	0.686	0.930	0.988	0.830
ERA5_BARPA	[-]	5.84	5.85	5.71	4.73	0.139	1.37	0.326	0.871	0.746	0.965	0.903	0.862
ERA5_CCAM	[-]	4.93	4.94	5.72	3.88	-0.783	1.66	0.523	0.814	0.717	0.951	0.894	0.841
MPI-ESM1-2-HR_BARPA	[-]	4.98	4.99	5.72	3.32	-0.728	1.49	0.248	0.816	0.746	0.980	0.977	0.870
MPI-ESM1-2-HR_CMIP6	[-]	2.67	2.67	5.59		-2.91	3.22	0.324	0.471	0.712	0.977	0.724	0.709
NorESM2-MM_BARPA	[-]	6.19	6.20	5.72	4.79	0.481	1.44	0.705	0.849	0.744	0.915	0.969	0.851
NorESM2-MM_CCAM	[-]	5.21	5.22	5.73	4.47	-0.512	1.82	0.708	0.816	0.692	0.917	0.886	0.825
NorESM2-MM_CMIP6	[-]	5.70	5.70	5.74		-0.0347	1.54	0.248	0.833	0.733	0.974	0.932	0.849

	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	[-]	9.36
ACCESS-CM2_BARPA	[-]	8.58	8.64	9.32	7.86	-0.688	3.13	0.694	0.842	0.735	0.941	0.874	0.835
ACCESS-CM2_CCAM	[-]	7.15	7.11	9.34	7.49	-2.22	4.22	0.788	0.753	0.670	0.929	0.984	0.816
ACCESS-CM2_CMIP6	[-]	7.12	7.12	9.18		-2.05	4.50	0.983	0.754	0.625	0.937	0.474	0.689
ACCESS-ESM1-5_BARPA	[-]	9.39	9.41	9.32	9.01	0.0885	2.65	0.468	0.848	0.769	0.964	0.901	0.859
ACCESS-ESM1-5_CCAM	[-]	9.37	9.32	9.34	9.97	-0.0184	3.14	0.566	0.877	0.711	0.955	0.964	0.858
ACCESS-ESM1-5_CMIP6	[-]	11.0	11.0	9.15		1.90	5.18	1.23	0.806	0.580	0.890	0.687	0.723
CESM2_BARPA	[-]	7.33	7.37	9.32	6.82	-1.96	3.13	0.473	0.785	0.761	0.958	0.979	0.858
CESM2_CCAM	[-]	9.11	9.18	9.34	8.42	-0.161	2.74	0.927	0.878	0.747	0.922	0.991	0.869
CESM2_CMIP6	[-]	9.69	9.69	8.90		0.798	2.78	0.984	0.901	0.741	0.922	0.988	0.872
CMCC-ESM2_BARPA	[-]	7.05	7.07	9.32	6.78	-2.25	3.30	0.438	0.762	0.759	0.964	0.962	0.850
CMCC-ESM2_CCAM	[-]	9.85	9.83	9.34	10.1	0.497	2.06	0.298	0.863	0.828	0.977	0.990	0.905
CMCC-ESM2_CMIP6	[-]	12.1	12.1	8.90		3.24	3.93	0.873	0.678	0.770	0.945	0.986	0.836
CNRM-ESM2-1_CCAM	[-]	8.06	7.97	9.34	9.02	-1.36	2.80	0.500	0.816	0.784	0.961	0.973	0.872
CNRM-ESM2-1_CMIP6	[-]	6.32	6.32	8.67		-2.35	3.79	0.657	0.764	0.717	0.955	0.991	0.841
EC-Earth3_BARPA	[-]	7.96	7.97	9.32	7.88	-1.36	2.14	0.673	0.827	0.847	0.955	0.966	0.893
EC-Earth3_CCAM	[-]	9.96	9.91	9.34	10.4	0.578	3.12	0.699	0.865	0.718	0.954	0.983	0.862
EC-Earth3_CMIP6	[-]	11.2	11.2	9.05		2.14	5.21	1.21	0.784	0.567	0.896	0.995	0.784
ERA5_BARPA	[-]	9.08	9.11	9.36	8.69	-0.249	2.37	0.259	0.879	0.786	0.982	0.965	0.890
ERA5_CCAM	[-]	9.83	9.80	9.37	10.2	0.427	1.75	0.452	0.882	0.856	0.970	0.988	0.917
MPI-ESM1-2-HR_BARPA	[-]	7.18	7.23	9.32	6.56	-2.10	3.17	0.340	0.770	0.778	0.968	0.895	0.844
MPI-ESM1-2-HR_CMIP6	[-]	3.86	3.86	8.96		-5.10	6.52	0.262	0.526	0.641	0.982	0.888	0.746
NorESM2-MM_BARPA	[-]	9.02	9.04	9.32	8.72	-0.283	2.72	0.639	0.874	0.744	0.949	0.994	0.874
NorESM2-MM_CCAM	[-]	11.1	11.1	9.34	10.8	1.81	2.56	0.529	0.803	0.829	0.965	0.986	0.888
NorESM2-MM_CMIP6	[-]	11.4	11.4	8.90		2.50	2.92	0.768	0.751	0.846	0.951	0.934	0.868

	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	[-]	5.43
ACCESS-CM2_BARPA	[-]	7.66	6.04	5.44	8.99	0.598	1.79	0.963	0.796	0.738	0.909	0.962	0.828
ACCESS-CM2_CCAM	[-]	7.15	5.91	5.44	8.15	0.475	2.25	1.12	0.727	0.704	0.885	0.881	0.780
ACCESS-CM2_CMIP6	[-]	8.16	6.42	5.62	10.1	0.798	2.45	1.10	0.752	0.658	0.885	0.940	0.778
ACCESS-ESM1-5_BARPA	[-]	7.19	5.84	5.44	8.30	0.393	1.95	1.06	0.777	0.710	0.888	0.955	0.808
ACCESS-ESM1-5_CCAM	[-]	7.69	6.01	5.44	9.04	0.573	2.42	1.05	0.707	0.686	0.886	0.963	0.785
ACCESS-ESM1-5_CMIP6	[-]	9.41	7.21	5.62	12.1	1.59	3.00	1.29	0.670	0.612	0.855	0.968	0.743
CESM2_BARPA	[-]	6.89	5.41	5.44	8.10	-0.0283	1.65	0.923	0.830	0.726	0.907	0.978	0.833
CESM2_CCAM	[-]	7.69	4.88	5.44	9.94	-0.555	1.96	1.30	0.791	0.708	0.879	0.980	0.813
CESM2_CMIP6	[-]	8.91	6.98	5.59	11.0	1.39	2.46	0.891	0.700	0.679	0.904	0.981	0.788
CMCC-ESM2_BARPA	[-]	6.80	5.25	5.44	8.06	-0.188	1.81	1.02	0.820	0.717	0.899	0.972	0.825
CMCC-ESM2_CCAM	[-]	8.84	7.40	5.44	9.99	1.96	3.08	1.19	0.649	0.665	0.868	0.919	0.753
CMCC-ESM2_CMIP6	[-]	10.5	8.73	5.59	12.4	3.13	4.61	1.12	0.530	0.577	0.884	0.951	0.704
CNRM-ESM2-1_CCAM	[-]	7.59	6.27	5.44	8.64	0.832	2.58	1.13	0.701	0.669	0.864	0.897	0.760
CNRM-ESM2-1_CMIP6	[-]	6.54	4.63	5.57	8.91	-0.945	2.06	1.26	0.746	0.692	0.865	0.976	0.794
EC-Earth3_BARPA	[-]	6.48	4.85	5.44	7.82	-0.594	1.50	0.918	0.813	0.756	0.907	0.974	0.841
EC-Earth3_CCAM	[-]	7.64	6.08	5.44	8.89	0.643	2.53	1.27	0.761	0.644	0.857	0.964	0.774
EC-Earth3_CMIP6	[-]	8.14	5.86	5.49	10.4	0.368	2.64	1.22	0.766	0.625	0.877	0.973	0.773
ERA5_BARPA	[-]	7.35	5.94	5.45	8.50	0.485	1.57	0.931	0.813	0.766	0.903	0.958	0.841
ERA5_CCAM	[-]	7.52	6.39	5.45	8.43	0.942	2.25	0.988	0.707	0.733	0.891	0.950	0.803
MPI-ESM1-2-HR_BARPA	[-]	6.39	4.67	5.44	7.80	-0.773	1.63	0.895	0.782	0.758	0.914	0.978	0.838
MPI-ESM1-2-HR_CMIP6	[-]	5.62	3.33	5.54	7.95	-2.20	3.02	0.983	0.567	0.695	0.901	0.937	0.759
NorESM2-MM_BARPA	[-]	7.98	6.25	5.44	9.41	0.807	1.91	1.06	0.782	0.721	0.900	0.977	0.820
NorESM2-MM_CCAM	[-]	7.91	6.74	5.44	8.84	1.30	2.39	0.970	0.686	0.743	0.912	0.898	0.796
NorESM2-MM_CMIP6	[-]	9.75	7.99	5.59	11.7	2.39	3.03	0.995	0.622	0.720	0.900	0.956	0.783

	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	[-]	8.63
ACCESS-CM2_BARPA	[-]	8.86	7.85	8.50	9.09	-0.650	3.87	0.804	0.862	0.667	0.933	0.985	0.823
ACCESS-CM2_CCAM	[-]	9.75	8.82	8.56	9.94	0.259	3.90	1.05	0.846	0.671	0.887	0.985	0.812
ACCESS-CM2_CMIP6	[-]	10.1	8.03	8.33	10.8	-0.303	5.00	1.15	0.866	0.566	0.876	0.988	0.773
ACCESS-ESM1-5_BARPA	[-]	7.91	7.86	8.50	7.92	-0.643	3.41	0.501	0.847	0.711	0.951	0.934	0.831
ACCESS-ESM1-5_CCAM	[-]	10.3	10.2	8.56	10.3	1.64	4.39	0.803	0.825	0.642	0.908	0.994	0.802
ACCESS-ESM1-5_CMIP6	[-]	13.0	11.1	8.49	13.6	2.60	6.28	0.755	0.724	0.538	0.937	0.606	0.669
CESM2_BARPA	[-]	6.81	6.26	8.50	6.94	-2.24	3.65	0.403	0.770	0.728	0.961	0.976	0.832
CESM2_CCAM	[-]	11.3	9.15	8.56	11.8	0.586	3.58	0.680	0.821	0.711	0.946	0.837	0.805
CESM2_CMIP6	[-]	11.9	10.4	8.27	12.4	2.09	3.73	0.688	0.785	0.701	0.932	0.993	0.822
CMCC-ESM2_BARPA	[-]	6.85	5.88	8.50	7.06	-2.62	4.10	0.351	0.734	0.712	0.974	0.933	0.813
CMCC-ESM2_CCAM	[-]	12.3	11.2	8.56	12.5	2.68	3.79	0.568	0.750	0.751	0.955	0.946	0.831
CMCC-ESM2_CMIP6	[-]	14.9	12.3	8.27	15.8	4.05	5.23	0.483	0.627	0.688	0.957	0.994	0.791
CNRM-ESM2-1_CCAM	[-]	10.1	10.2	8.56	10.1	1.68	3.54	0.636	0.778	0.747	0.929	0.869	0.814
CNRM-ESM2-1_CMIP6	[-]	8.61	6.22	8.08	9.58	-1.86	3.26	0.573	0.788	0.739	0.955	0.937	0.831
EC-Earth3_BARPA	[-]	7.36	7.13	8.50	7.41	-1.37	2.64	0.413	0.831	0.793	0.966	0.988	0.874
EC-Earth3_CCAM	[-]	11.3	11.1	8.56	11.3	2.57	4.58	0.535	0.757	0.658	0.947	0.993	0.803
EC-Earth3_CMIP6	[-]	12.7	11.4	8.41	13.1	2.98	5.84	0.797	0.708	0.559	0.919	0.993	0.747
ERA5_BARPA	[-]	8.20	7.90	8.54	8.26	-0.641	2.80	0.437	0.861	0.759	0.968	0.975	0.864
ERA5_CCAM	[-]	10.9	11.4	8.60	10.7	2.85	3.83	0.689	0.734	0.761	0.932	0.911	0.820
MPI-ESM1-2-HR_BARPA	[-]	7.17	6.78	8.50	7.26	-1.73	3.12	0.312	0.805	0.760	0.974	0.990	0.858
MPI-ESM1-2-HR_CMIP6	[-]	8.80	6.25	8.28	9.65	-2.02	4.51	0.568	0.742	0.664	0.957	0.716	0.749
NorESM2-MM_BARPA	[-]	8.99	7.93	8.50	9.22	-0.571	3.30	0.502	0.870	0.708	0.952	0.965	0.841
NorESM2-MM_CCAM	[-]	10.5	10.6	8.56	10.5	2.04	3.05	0.496	0.796	0.785	0.953	0.978	0.859
NorESM2-MM_CMIP6	[-]	13.5	12.1	8.27	13.9	3.84	4.46	0.538	0.639	0.764	0.946	0.989	0.821

	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	[-]	5.55
ACCESS-CM2_BARPA	[-]	6.42	6.42	5.56	0.859	1.37	0.830	0.781	0.738	0.919	0.995	0.834
ACCESS-CM2_CCAM	[-]	6.80	6.80	5.56	1.24	1.80	0.841	0.702	0.691	0.912	0.984	0.796
ACCESS-CM2_CMIP6	[-]	7.49	7.49	5.51	1.98	2.51	1.09	0.538	0.615	0.864	0.940	0.714
ACCESS-ESM1-5_BARPA	[-]	6.53	6.53	5.56	0.970	1.80	0.611	0.762	0.652	0.925	0.949	0.788
ACCESS-ESM1-5_CCAM	[-]	7.38	7.38	5.56	1.82	2.52	0.408	0.602	0.612	0.942	0.986	0.751
ACCESS-ESM1-5_CMIP6	[-]	8.28	8.28	5.64	2.64	3.45	0.543	0.462	0.521	0.941	0.810	0.651
CESM2_BARPA	[-]	6.15	6.15	5.56	0.586	1.40	0.338	0.838	0.699	0.955	0.997	0.838
CESM2_CCAM	[-]	4.91	4.91	5.56	-0.645	1.39	0.893	0.821	0.713	0.897	0.963	0.822
CESM2_CMIP6	[-]	8.13	8.13	5.58	2.55	3.25	0.341	0.455	0.545	0.955	0.999	0.700
CMCC-ESM2_BARPA	[-]	5.72	5.72	5.56	0.156	1.27	0.408	0.910	0.700	0.952	0.999	0.852
CMCC-ESM2_CCAM	[-]	7.82	7.82	5.56	2.26	2.91	0.648	0.524	0.591	0.926	0.981	0.723
CMCC-ESM2_CMIP6	[-]	8.80	8.80	5.58	3.22	4.07	0.652	0.371	0.467	0.934	0.998	0.647
CNRM-ESM2-1_CCAM	[-]	6.66	6.66	5.56	1.10	1.94	0.920	0.729	0.634	0.900	0.985	0.776
CNRM-ESM2-1_CMIP6	[-]	5.09	5.09	5.54	-0.453	1.76	1.63	0.735	0.652	0.791	0.608	0.687
EC-Earth3_BARPA	[-]	4.54	4.54	5.56	-1.03	1.36	0.468	0.738	0.778	0.936	0.922	0.831
EC-Earth3_CCAM	[-]	6.06	6.06	5.56	0.503	1.99	0.508	0.846	0.576	0.933	0.964	0.779
EC-Earth3_CMIP6	[-]	4.48	4.48	5.55	-1.07	1.45	0.990	0.721	0.764	0.890	0.984	0.824
ERA5_BARPA	[-]	6.06	6.06	5.57	0.489	1.04	0.314	0.859	0.776	0.960	0.997	0.874
ERA5_CCAM	[-]	7.19	7.19	5.57	1.62	2.00	0.663	0.631	0.716	0.929	0.974	0.793
MPI-ESM1-2-HR_BARPA	[-]	3.96	3.96	5.56	-1.60	1.80	1.26	0.622	0.792	0.871	0.958	0.807
MPI-ESM1-2-HR_CMIP6	[-]	2.66	2.66	5.63	-2.98	3.15	1.92	0.400	0.738	0.753	0.986	0.723
NorESM2-MM_BARPA	[-]	6.43	6.43	5.56	0.868	1.53	0.762	0.773	0.700	0.896	0.993	0.812
NorESM2-MM_CCAM	[-]	7.07	7.07	5.56	1.51	1.83	0.653	0.653	0.750	0.925	0.928	0.801
NorESM2-MM_CMIP6	[-]	8.48	8.48	5.58	2.90	3.10	1.05	0.415	0.717	0.908	0.953	0.742

	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	[-]	5.92
ACCESS-CM2_BARPA	[-]	6.66	6.66	5.93	0.732	1.29	0.404	0.826	0.781	0.967	0.998	0.870
ACCESS-CM2_CCAM	[-]	6.43	6.43	5.92	0.502	1.52	0.622	0.805	0.751	0.941	0.883	0.826
ACCESS-CM2_CMIP6	[-]	6.91	6.91	6.64	0.274	1.94	0.709	0.713	0.715	0.936	0.389	0.693
ACCESS-ESM1-5_BARPA	[-]	7.19	7.19	5.93	1.26	1.79	0.455	0.733	0.738	0.964	0.997	0.834
ACCESS-ESM1-5_CCAM	[-]	7.63	7.63	5.92	1.70	2.19	0.406	0.668	0.753	0.956	0.913	0.809
ACCESS-ESM1-5_CMIP6	[-]	8.51	8.51	5.75	2.75	3.37	0.900	0.479	0.606	0.939	0.995	0.725
CESM2_BARPA	[-]	6.56	6.56	5.93	0.634	1.54	0.623	0.845	0.711	0.949	0.996	0.843
CESM2_CCAM	[-]	6.24	6.24	5.92	0.318	1.49	1.25	0.876	0.723	0.861	0.997	0.836
CESM2_CMIP6	[-]	8.77	8.77	5.83	2.94	3.30	0.475	0.459	0.703	0.964	0.882	0.742
CMCC-ESM2_BARPA	[-]	5.63	5.63	5.93	-0.297	1.34	0.573	0.891	0.737	0.947	0.984	0.859
CMCC-ESM2_CCAM	[-]	7.16	7.16	5.92	1.24	1.75	0.510	0.738	0.761	0.944	0.993	0.840
CMCC-ESM2_CMIP6	[-]	10.0	10.0	5.83	4.20	5.07	0.645	0.331	0.491	0.935	0.594	0.568
CNRM-ESM2-1_CCAM	[-]	6.87	6.87	5.92	0.942	1.88	0.700	0.765	0.703	0.934	0.793	0.780
CNRM-ESM2-1_CMIP6	[-]	5.55	5.55	5.88	-0.329	1.46	0.920	0.843	0.725	0.938	0.942	0.835
EC-Earth3_BARPA	[-]	5.12	5.12	5.93	-0.806	1.29	0.580	0.819	0.795	0.957	0.989	0.871
EC-Earth3_CCAM	[-]	6.46	6.46	5.92	0.535	1.76	0.517	0.829	0.692	0.949	0.965	0.825
EC-Earth3_CMIP6	[-]	5.93	5.93	5.85	0.0802	1.97	0.864	0.854	0.633	0.925	0.879	0.785
ERA5_BARPA	[-]	6.53	6.53	5.96	0.574	1.10	0.540	0.852	0.810	0.939	0.994	0.881
ERA5_CCAM	[-]	7.39	7.39	5.95	1.44	1.79	0.506	0.709	0.795	0.951	0.944	0.839
MPI-ESM1-2-HR_BARPA	[-]	4.29	4.29	5.93	-1.64	1.99	1.01	0.664	0.766	0.902	0.978	0.815
MPI-ESM1-2-HR_CMIP6	[-]	2.31	2.31	6.01	-3.70	3.97	1.01	0.382	0.698	0.929	0.692	0.680
NorESM2-MM_BARPA	[-]	6.67	6.67	5.93	0.746	1.48	0.501	0.826	0.742	0.956	0.997	0.853
NorESM2-MM_CCAM	[-]	7.28	7.28	5.92	1.36	1.82	0.810	0.715	0.778	0.934	0.798	0.801
NorESM2-MM_CMIP6	[-]	8.77	8.77	5.83	2.94	3.09	0.824	0.461	0.781	0.909	0.970	0.780

	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	[-]	8.95
ACCESS-CM2_BARPA	[-]	9.33	9.33	8.97	0.363	1.80	0.915	0.863	0.689	0.901	0.999	0.828
ACCESS-CM2_CCAM	[-]	8.86	8.86	8.96	-0.102	1.59	1.67	0.839	0.741	0.775	0.933	0.806
ACCESS-CM2_CMIP6	[-]	9.12	9.12	9.21	-0.0839	1.62	1.51	0.861	0.715	0.818	0.788	0.779
ACCESS-ESM1-5_BARPA	[-]	9.41	9.41	8.97	0.443	2.04	0.923	0.857	0.654	0.900	0.996	0.812
ACCESS-ESM1-5_CCAM	[-]	9.99	9.99	8.96	1.02	2.02	1.55	0.784	0.703	0.786	0.996	0.795
ACCESS-ESM1-5_CMIP6	[-]	10.3	10.3	8.58	1.74	2.87	0.998	0.627	0.561	0.852	0.988	0.718
CESM2_BARPA	[-]	9.80	9.80	8.97	0.826	2.64	1.07	0.821	0.573	0.882	0.995	0.769
CESM2_CCAM	[-]	8.07	8.07	8.96	-0.899	1.77	0.958	0.812	0.727	0.888	0.997	0.830
CESM2_CMIP6	[-]	11.9	11.9	8.78	3.12	3.51	0.564	0.456	0.691	0.950	0.891	0.736
CMCC-ESM2_BARPA	[-]	9.96	9.96	8.97	0.985	2.42	0.920	0.796	0.614	0.890	0.977	0.778
CMCC-ESM2_CCAM	[-]	11.0	11.0	8.96	2.05	2.84	1.56	0.638	0.664	0.785	0.977	0.746
CMCC-ESM2_CMIP6	[-]	13.3	13.3	8.78	4.52	5.08	0.446	0.323	0.596	0.971	0.777	0.653
CNRM-ESM2-1_CCAM	[-]	8.80	8.80	8.96	-0.166	1.77	1.83	0.844	0.703	0.746	0.962	0.791
CNRM-ESM2-1_CMIP6	[-]	9.86	9.86	9.08	0.782	2.89	2.00	0.658	0.583	0.741	0.942	0.701
EC-Earth3_BARPA	[-]	8.74	8.74	8.97	-0.229	1.97	0.807	0.871	0.662	0.903	0.958	0.811
EC-Earth3_CCAM	[-]	9.19	9.19	8.96	0.230	1.61	1.07	0.865	0.735	0.862	0.992	0.838
EC-Earth3_CMIP6	[-]	9.12	9.12	9.00	0.119	1.87	0.899	0.800	0.691	0.910	0.751	0.769
ERA5_BARPA	[-]	9.68	9.68	8.99	0.694	1.58	0.815	0.842	0.741	0.898	0.993	0.843
ERA5_CCAM	[-]	9.94	9.94	8.98	0.963	1.54	1.24	0.797	0.795	0.838	0.976	0.840
MPI-ESM1-2-HR_BARPA	[-]	7.01	7.01	8.97	-1.96	2.41	1.11	0.639	0.735	0.890	0.977	0.795
MPI-ESM1-2-HR_CMIP6	[-]	5.62	5.62	8.92	-3.29	3.53	1.75	0.454	0.763	0.795	0.962	0.748
NorESM2-MM_BARPA	[-]	10.2	10.2	8.97	1.27	2.23	1.18	0.751	0.672	0.873	0.997	0.793
NorESM2-MM_CCAM	[-]	9.14	9.14	8.96	0.175	1.56	1.12	0.832	0.755	0.852	0.953	0.829
NorESM2-MM_CMIP6	[-]	11.5	11.5	8.78	2.68	3.09	1.13	0.514	0.687	0.896	0.930	0.743

	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	[-]	5.17
ACCESS-CM2_BARPA	[-]	5.59	5.59	5.18	6.46	0.401	1.66	0.666	0.891	0.776	0.958	0.933	0.867
ACCESS-CM2_CCAM	[-]	5.64	5.64	5.18	6.75	0.459	2.01	0.517	0.842	0.749	0.967	0.912	0.844
ACCESS-CM2_CMIP6	[-]	6.35	6.35	5.42		0.930	2.41	0.672	0.775	0.719	0.958	0.287	0.692
ACCESS-ESM1-5_BARPA	[-]	6.29	6.28	5.18	7.39	1.09	1.77	0.323	0.815	0.809	0.977	0.960	0.874
ACCESS-ESM1-5_CCAM	[-]	7.23	7.22	5.18	8.71	2.05	2.92	0.380	0.692	0.725	0.972	0.982	0.819
ACCESS-ESM1-5_CMIP6	[-]	7.82	7.82	5.40		2.43	3.44	0.294	0.663	0.666	0.972	0.978	0.789
CESM2_BARPA	[-]	4.77	4.77	5.18	5.58	-0.415	1.43	0.300	0.898	0.800	0.979	0.836	0.863
CESM2_CCAM	[-]	4.75	4.74	5.18	6.36	-0.434	2.19	0.750	0.885	0.701	0.949	0.982	0.843
CESM2_CMIP6	[-]	7.41	7.41	5.22		2.19	3.08	0.632	0.682	0.685	0.946	0.974	0.794
CMCC-ESM2_BARPA	[-]	4.31	4.31	5.18	5.43	-0.877	1.66	0.323	0.848	0.788	0.976	0.880	0.856
CMCC-ESM2_CCAM	[-]	6.71	6.70	5.18	8.67	1.53	2.48	0.521	0.757	0.739	0.966	0.981	0.836
CMCC-ESM2_CMIP6	[-]	9.48	9.48	5.22		4.26	5.86	0.479	0.478	0.507	0.968	0.985	0.689
CNRM-ESM2-1_CCAM	[-]	6.52	6.50	5.18	8.23	1.33	2.46	0.297	0.768	0.727	0.978	0.981	0.836
CNRM-ESM2-1_CMIP6	[-]	4.32	4.32	5.40		-1.09	2.78	0.280	0.782	0.668	0.980	0.844	0.788
EC-Earth3_BARPA	[-]	4.81	4.80	5.18	6.36	-0.385	1.24	0.317	0.892	0.838	0.977	0.984	0.906
EC-Earth3_CCAM	[-]	6.54	6.53	5.18	8.86	1.35	2.62	0.461	0.778	0.697	0.964	0.985	0.824
EC-Earth3_CMIP6	[-]	6.34	6.34	5.18		1.16	3.55	0.932	0.810	0.555	0.931	0.898	0.750
ERA5_BARPA	[-]	5.87	5.86	5.21	7.14	0.652	1.54	0.396	0.872	0.804	0.971	0.970	0.884
ERA5_CCAM	[-]	7.19	7.18	5.20	9.13	1.97	2.63	0.349	0.708	0.765	0.976	0.992	0.841
MPI-ESM1-2-HR_BARPA	[-]	3.92	3.91	5.18	5.34	-1.27	1.97	0.404	0.791	0.779	0.973	0.967	0.858
MPI-ESM1-2-HR_CMIP6	[-]	2.29	2.29	5.27		-2.98	3.84	0.427	0.579	0.659	0.974	0.958	0.766
NorESM2-MM_BARPA	[-]	5.64	5.63	5.18	7.05	0.445	1.57	0.264	0.899	0.782	0.981	0.961	0.881
NorESM2-MM_CCAM	[-]	7.68	7.67	5.18	9.50	2.49	2.99	0.423	0.651	0.762	0.973	0.983	0.826
NorESM2-MM_CMIP6	[-]	8.67	8.67	5.22		3.45	3.84	0.453	0.548	0.749	0.971	0.978	0.799

	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	[-]	6.36
ACCESS-CM2_BARPA	[-]	7.48	7.42	6.36	8.02	1.05	2.21	0.485	0.839	0.810	0.968	0.910	0.867
ACCESS-CM2_CCAM	[-]	7.99	7.96	6.36	8.22	1.60	2.76	0.578	0.795	0.771	0.943	0.719	0.800
ACCESS-CM2_CMIP6	[-]	7.95	7.95	6.46		1.48	3.06	0.748	0.804	0.719	0.925	0.923	0.818
ACCESS-ESM1-5_BARPA	[-]	7.40	7.35	6.36	7.83	0.992	2.14	0.242	0.843	0.802	0.984	0.901	0.867
ACCESS-ESM1-5_CCAM	[-]	8.20	8.13	6.36	8.69	1.77	2.95	0.308	0.793	0.740	0.977	0.952	0.840
ACCESS-ESM1-5_CMIP6	[-]	8.27	8.27	6.27		2.00	3.30	0.360	0.754	0.701	0.979	0.956	0.818
CESM2_BARPA	[-]	5.89	5.86	6.36	6.12	-0.501	2.02	0.379	0.901	0.777	0.969	0.874	0.860
CESM2_CCAM	[-]	5.15	5.00	6.36	6.32	-1.36	3.06	0.681	0.818	0.696	0.955	0.993	0.832
CESM2_CMIP6	[-]	7.80	7.80	6.40		1.40	2.59	0.299	0.828	0.749	0.975	0.993	0.859
CMCC-ESM2_BARPA	[-]	6.19	6.16	6.36	6.38	-0.197	2.54	0.249	0.877	0.733	0.983	0.868	0.839
CMCC-ESM2_CCAM	[-]	9.59	9.54	6.36	9.96	3.18	4.16	0.573	0.669	0.707	0.963	0.883	0.786
CMCC-ESM2_CMIP6	[-]	11.8	11.8	6.40		5.38	7.14	0.228	0.492	0.541	0.981	0.936	0.698
CNRM-ESM2-1_CCAM	[-]	9.10	9.01	6.36	9.76	2.65	3.63	0.371	0.709	0.722	0.970	0.929	0.810
CNRM-ESM2-1_CMIP6	[-]	4.24	4.24	6.28		-2.05	3.24	0.537	0.754	0.712	0.961	0.986	0.825
EC-Earth3_BARPA	[-]	6.61	6.55	6.36	7.10	0.193	1.52	0.254	0.906	0.838	0.981	0.916	0.896
EC-Earth3_CCAM	[-]	8.83	8.73	6.36	9.66	2.37	3.65	0.433	0.731	0.690	0.967	0.975	0.811
EC-Earth3_CMIP6	[-]	8.73	8.71	6.38	10.0	2.33	4.86	0.725	0.730	0.560	0.927	0.992	0.754
ERA5_BARPA	[-]	7.30	7.24	6.40	7.78	0.847	2.07	0.228	0.868	0.794	0.985	0.916	0.871
ERA5_CCAM	[-]	9.05	8.97	6.40	9.70	2.57	3.29	0.440	0.710	0.760	0.967	0.995	0.839
MPI-ESM1-2-HR_BARPA	[-]	5.93	5.84	6.36	6.72	-0.525	1.84	0.257	0.885	0.807	0.983	0.876	0.872
MPI-ESM1-2-HR_CMIP6	[-]	4.04	4.00	6.33	7.51	-2.33	3.64	0.576	0.709	0.696	0.962	0.967	0.806
NorESM2-MM_BARPA	[-]	7.27	7.23	6.36	7.59	0.869	2.53	0.251	0.869	0.740	0.982	0.908	0.848
NorESM2-MM_CCAM	[-]	8.54	8.44	6.36	9.27	2.08	2.66	0.355	0.762	0.810	0.976	0.893	0.850
NorESM2-MM_CMIP6	[-]	9.41	9.41	6.40		3.01	3.53	0.263	0.662	0.779	0.977	0.976	0.835

	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	[-]	5.70
ACCESS-CM2_BARPA	[-]	6.56	6.56	5.71	0.852	1.25	0.987	0.777	0.775	0.902	0.988	0.843
ACCESS-CM2_CCAM	[-]	6.17	6.17	5.70	0.474	1.42	1.19	0.809	0.708	0.833	0.993	0.811
ACCESS-CM2_CMIP6	[-]	7.13	7.13	5.74	1.39	1.93	1.59	0.682	0.696	0.787	0.994	0.771
ACCESS-ESM1-5_BARPA	[-]	5.93	5.93	5.71	0.222	1.30	2.00	0.895	0.704	0.758	0.998	0.812
ACCESS-ESM1-5_CCAM	[-]	5.57	5.57	5.70	-0.128	1.60	2.33	0.860	0.653	0.663	0.995	0.765
ACCESS-ESM1-5_CMIP6	[-]	6.93	6.93	5.91	1.02	2.26	2.90	0.673	0.615	0.579	0.873	0.671
CESM2_BARPA	[-]	6.35	6.35	5.71	0.643	1.26	1.56	0.821	0.740	0.792	0.977	0.814
CESM2_CCAM	[-]	4.75	4.75	5.70	-0.950	1.52	0.702	0.751	0.726	0.912	0.989	0.821
CESM2_CMIP6	[-]	7.56	7.56	5.84	1.72	2.24	2.64	0.614	0.665	0.612	0.987	0.708
CMCC-ESM2_BARPA	[-]	5.98	5.98	5.71	0.273	1.09	1.64	0.895	0.748	0.796	0.996	0.837
CMCC-ESM2_CCAM	[-]	7.37	7.37	5.70	1.67	2.34	2.80	0.627	0.648	0.592	0.992	0.701
CMCC-ESM2_CMIP6	[-]	7.48	7.48	5.84	1.64	2.35	3.23	0.625	0.644	0.527	0.983	0.685
CNRM-ESM2-1_CCAM	[-]	5.82	5.82	5.70	0.121	1.43	1.98	0.871	0.680	0.716	0.964	0.782
CNRM-ESM2-1_CMIP6	[-]	5.69	5.69	5.83	-0.144	1.48	0.872	0.814	0.686	0.915	0.918	0.804
EC-Earth3_BARPA	[-]	4.93	4.93	5.71	-0.780	1.44	1.69	0.795	0.711	0.807	0.985	0.802
EC-Earth3_CCAM	[-]	5.50	5.50	5.70	-0.198	2.02	3.39	0.902	0.569	0.514	0.972	0.705
EC-Earth3_CMIP6	[-]	4.90	4.90	5.79	-0.887	1.54	1.57	0.763	0.698	0.815	0.996	0.794
ERA5_BARPA	[-]	6.41	6.41	5.71	0.699	1.10	1.25	0.809	0.801	0.842	0.998	0.850
ERA5_CCAM	[-]	6.37	6.37	5.70	0.668	1.46	2.13	0.791	0.713	0.686	0.983	0.777
MPI-ESM1-2-HR_BARPA	[-]	5.45	5.45	5.71	-0.258	1.10	0.716	0.862	0.759	0.925	0.987	0.859
MPI-ESM1-2-HR_CMIP6	[-]	3.66	3.66	5.67	-2.01	2.42	0.948	0.556	0.692	0.915	0.991	0.769
NorESM2-MM_BARPA	[-]	6.97	6.97	5.71	1.27	1.62	0.929	0.690	0.748	0.920	0.976	0.817
NorESM2-MM_CCAM	[-]	6.82	6.82	5.70	1.12	1.42	0.554	0.724	0.800	0.954	0.992	0.854
NorESM2-MM_CMIP6	[-]	8.06	8.06	5.84	2.22	2.37	1.45	0.541	0.792	0.823	0.934	0.777

	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	[-]	3.05
ACCESS-CM2_BARPA	[-]	4.39	4.34	3.03	4.49	1.30	1.60	0.791	0.686	0.764	0.936	0.982	0.826
ACCESS-CM2_CCAM	[-]	4.94	4.87	3.04	5.06	1.84	2.33	1.09	0.592	0.658	0.905	0.966	0.756
ACCESS-CM2_CMIP6	[-]	4.77	4.75	2.97	4.87	1.79	2.19	0.848	0.572	0.677	0.931	0.965	0.765
ACCESS-ESM1-5_BARPA	[-]	4.37	4.35	3.03	4.40	1.31	1.84	0.793	0.678	0.684	0.938	0.972	0.791
ACCESS-ESM1-5_CCAM	[-]	4.70	4.86	3.04	4.41	1.83	2.48	0.874	0.585	0.618	0.932	0.802	0.711
ACCESS-ESM1-5_CMIP6	[-]	4.95	5.02	2.94	4.38	2.08	2.60	0.895	0.524	0.622	0.931	0.884	0.716
CESM2_BARPA	[-]	3.55	3.61	3.03	3.44	0.578	1.33	0.782	0.821	0.711	0.927	0.965	0.827
CESM2_CCAM	[-]	2.35	2.52	3.04	2.04	-0.520	1.67	1.82	0.848	0.627	0.757	0.971	0.766
CESM2_CMIP6	[-]	4.76	4.87	2.98	4.18	1.90	2.53	0.602	0.554	0.605	0.955	0.886	0.721
CMCC-ESM2_BARPA	[-]	3.51	3.44	3.03	3.63	0.408	1.47	1.04	0.861	0.668	0.904	0.932	0.807
CMCC-ESM2_CCAM	[-]	6.30	6.11	3.04	6.63	3.08	3.78	0.844	0.415	0.529	0.928	0.954	0.671
CMCC-ESM2_CMIP6	[-]	7.40	7.28	2.98	8.00	4.30	5.95	0.832	0.271	0.290	0.936	0.685	0.494
CNRM-ESM2-1_CCAM	[-]	5.07	5.02	3.04	5.15	1.98	2.80	0.739	0.567	0.563	0.936	0.919	0.710
CNRM-ESM2-1_CMIP6	[-]	2.19	2.25	2.99	1.83	-0.740	1.54	1.74	0.792	0.662	0.785	0.639	0.708
EC-Earth3_BARPA	[-]	2.84	2.86	3.03	2.80	-0.177	0.948	0.661	0.880	0.781	0.945	0.989	0.875
EC-Earth3_CCAM	[-]	4.43	4.45	3.04	4.40	1.42	2.59	1.05	0.673	0.530	0.903	0.902	0.707
EC-Earth3_CMIP6	[-]	3.52	3.54	2.99	3.46	0.545	2.25	1.27	0.794	0.550	0.870	0.843	0.721
ERA5_BARPA	[-]	4.09	4.05	3.05	4.16	1.01	1.47	0.919	0.749	0.733	0.915	0.990	0.824
ERA5_CCAM	[-]	4.94	5.01	3.05	4.81	1.96	2.52	0.874	0.567	0.635	0.921	0.863	0.724
MPI-ESM1-2-HR_BARPA	[-]	2.74	2.67	3.03	2.87	-0.367	1.09	0.858	0.848	0.766	0.927	0.895	0.840
MPI-ESM1-2-HR_CMIP6	[-]	1.36	1.37	2.99	1.34	-1.62	2.06	1.09	0.587	0.708	0.892	0.905	0.760
NorESM2-MM_BARPA	[-]	4.40	4.29	3.03	4.60	1.26	1.83	1.36	0.700	0.681	0.845	0.957	0.773
NorESM2-MM_CCAM	[-]	5.60	5.58	3.04	5.62	2.55	2.91	1.26	0.477	0.664	0.868	0.989	0.732
NorESM2-MM_CMIP6	[-]	6.16	6.23	2.98	5.77	3.25	3.55	1.06	0.380	0.656	0.898	0.984	0.715

	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	[-]	3.01
ACCESS-CM2_BARPA	[-]	3.87	3.84	3.01	3.95	0.830	1.35	2.07	0.747	0.703	0.667	0.817	0.728
ACCESS-CM2_CCAM	[-]	3.52	3.54	3.01	3.46	0.525	1.43	2.24	0.779	0.648	0.661	0.893	0.726
ACCESS-CM2_CMIP6	[-]	3.86	3.86	3.02	3.85	0.840	1.50	2.13	0.727	0.636	0.656	0.843	0.700
ACCESS-ESM1-5_BARPA	[-]	3.57	3.49	3.01	3.75	0.482	1.32	2.48	0.809	0.653	0.567	0.937	0.724
ACCESS-ESM1-5_CCAM	[-]	2.75	2.76	3.01	2.72	-0.249	1.24	2.15	0.792	0.679	0.693	0.956	0.760
ACCESS-ESM1-5_CMIP6	[-]	3.88	3.82	3.03	4.22	0.784	1.65	2.91	0.720	0.588	0.504	0.976	0.675
CESM2_BARPA	[-]	3.19	3.14	3.01	3.30	0.136	1.07	2.36	0.859	0.698	0.602	0.968	0.765
CESM2_CCAM	[-]	2.14	2.24	3.01	1.89	-0.771	1.45	2.73	0.737	0.664	0.577	0.786	0.685
CESM2_CMIP6	[-]	3.63	3.59	3.02	3.79	0.570	1.31	1.80	0.736	0.703	0.718	0.943	0.761
CMCC-ESM2_BARPA	[-]	3.38	3.30	3.01	3.57	0.293	1.26	2.23	0.850	0.656	0.640	0.936	0.747
CMCC-ESM2_CCAM	[-]	5.20	5.12	3.01	5.37	2.11	2.73	2.48	0.482	0.566	0.574	0.942	0.626
CMCC-ESM2_CMIP6	[-]	5.08	5.11	3.02	4.98	2.09	3.02	2.53	0.503	0.494	0.593	0.871	0.591
CNRM-ESM2-1_CCAM	[-]	3.92	3.99	3.01	3.75	0.979	1.71	2.21	0.705	0.623	0.636	0.909	0.699
CNRM-ESM2-1_CMIP6	[-]	2.33	2.35	2.90	2.17	-0.549	1.20	2.25	0.789	0.668	0.686	0.782	0.719
EC-Earth3_BARPA	[-]	2.43	2.55	3.01	2.13	-0.457	1.10	2.24	0.822	0.705	0.651	0.797	0.736
EC-Earth3_CCAM	[-]	3.01	3.15	3.01	2.69	0.132	1.61	2.56	0.834	0.582	0.575	0.898	0.694
EC-Earth3_CMIP6	[-]	2.47	2.55	3.01	2.19	-0.464	1.43	2.40	0.774	0.632	0.614	0.901	0.710
ERA5_BARPA	[-]	3.92	3.89	3.01	3.98	0.878	1.27	2.22	0.731	0.726	0.616	0.956	0.751
ERA5_CCAM	[-]	3.37	3.43	3.02	3.23	0.415	1.12	2.02	0.806	0.721	0.654	0.965	0.773
MPI-ESM1-2-HR_BARPA	[-]	2.73	2.74	3.01	2.70	-0.274	0.887	2.02	0.861	0.751	0.685	0.783	0.766
MPI-ESM1-2-HR_CMIP6	[-]	1.23	1.29	3.05	1.01	-1.75	1.90	1.70	0.492	0.759	0.779	0.668	0.692
NorESM2-MM_BARPA	[-]	4.12	4.06	3.01	4.27	1.06	1.50	2.14	0.689	0.683	0.689	0.934	0.736
NorESM2-MM_CCAM	[-]	4.54	4.44	3.01	4.75	1.43	1.82	1.74	0.614	0.697	0.767	0.890	0.733
NorESM2-MM_CMIP6	[-]	5.10	5.01	3.02	5.47	2.00	2.36	1.82	0.503	0.663	0.756	0.983	0.713

	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	[-]	9.02
ACCESS-CM2_BARPA	[-]	9.99	9.99	9.06	0.930	2.01	0.811	0.710	0.712	0.907	0.803	0.769
ACCESS-CM2_CCAM	[-]	9.51	9.51	9.02	0.489	1.91	1.09	0.751	0.696	0.863	0.952	0.792
ACCESS-CM2_CMIP6	[-]	11.8	11.8	10.9	0.892	1.83	0.00	0.777	0.641	1.00	0.996	0.811
ACCESS-ESM1-5_BARPA	[-]	9.07	9.07	9.06	0.0119	1.96	0.964	0.732	0.687	0.886	0.772	0.753
ACCESS-ESM1-5_CCAM	[-]	9.12	9.12	9.02	0.0984	2.08	1.35	0.752	0.648	0.840	0.905	0.759
ACCESS-ESM1-5_CMIP6	[-]	8.32	8.32	9.29	-0.976	1.89	0.00	0.754	0.624	1.00	1.00	0.800
CESM2_BARPA	[-]	10.2	10.2	9.06	1.13	2.53	1.11	0.639	0.666	0.855	0.658	0.697
CESM2_CCAM	[-]	11.0	11.0	9.02	1.97	2.85	1.33	0.617	0.648	0.826	0.778	0.704
CESM2_CMIP6	[-]	12.4	12.4	8.91	3.44	4.47	0.505	0.413	0.468	0.969	0.975	0.658
CMCC-ESM2_BARPA	[-]	9.41	9.41	9.06	0.351	1.94	0.991	0.773	0.676	0.864	0.833	0.764
CMCC-ESM2_CCAM	[-]	11.1	11.1	9.02	2.05	2.58	1.43	0.609	0.711	0.824	0.997	0.770
CMCC-ESM2_CMIP6	[-]	10.7	10.7	8.91	1.84	2.62	1.03	0.605	0.616	0.931	0.431	0.640
CNRM-ESM2-1_CCAM	[-]	8.88	8.88	9.02	-0.143	1.81	1.69	0.776	0.693	0.774	0.979	0.783
CNRM-ESM2-1_CMIP6	[-]	12.2	12.2	9.16	3.00	3.42	1.03	0.475	0.667	0.932	0.0199	0.552
EC-Earth3_BARPA	[-]	8.85	8.85	9.06	-0.206	1.75	0.970	0.839	0.670	0.878	0.983	0.808
EC-Earth3_CCAM	[-]	9.80	9.80	9.02	0.786	1.78	0.956	0.743	0.746	0.891	0.995	0.824
EC-Earth3_CMIP6	[-]	10.3	10.3	9.03	1.26	2.54	0.674	0.636	0.704	0.956	0.162	0.633
ERA5_BARPA	[-]	9.84	9.84	9.06	0.781	1.60	0.661	0.762	0.766	0.929	0.908	0.826
ERA5_CCAM	[-]	9.29	9.29	9.02	0.274	1.36	0.825	0.803	0.789	0.913	0.992	0.857
MPI-ESM1-2-HR_BARPA	[-]	9.28	9.28	9.06	0.222	2.03	0.981	0.725	0.677	0.888	0.763	0.746
MPI-ESM1-2-HR_CMIP6	[-]	10.2	10.2	8.88	1.32	3.99	1.36	0.406	0.521	0.870	0.00261	0.464
NorESM2-MM_BARPA	[-]	10.6	10.6	9.06	1.51	2.33	0.849	0.649	0.718	0.920	0.798	0.760
NorESM2-MM_CCAM	[-]	9.72	9.72	9.02	0.701	1.78	0.802	0.738	0.740	0.914	0.916	0.810
NorESM2-MM_CMIP6	[-]	11.3	11.3	8.91	2.36	2.86	0.505	0.544	0.647	0.969	0.796	0.721

	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	[-]	15.8
ACCESS-CM2_BARPA	[-]	17.6	17.6	15.7	1.88	2.30	0.239	0.698	0.835	0.985	0.974	0.866
ACCESS-CM2_CCAM	[-]	15.0	15.0	15.8	-0.795	1.80	0.240	0.806	0.789	0.979	0.999	0.872
ACCESS-CM2_CMIP6	[-]	14.5	14.5	17.1	-2.53	3.30	0.00	0.610	0.662	1.00	1.00	0.787
ACCESS-ESM1-5_BARPA	[-]	17.1	17.1	15.7	1.45	2.27	0.454	0.728	0.780	0.969	0.946	0.841
ACCESS-ESM1-5_CCAM	[-]	16.3	16.3	15.8	0.543	2.01	0.979	0.803	0.761	0.918	0.940	0.837
ACCESS-ESM1-5_CMIP6	[-]	11.9	11.9	13.3	-1.39	1.95	0.00	0.720	0.734	1.00	0.775	0.792
CESM2_BARPA	[-]	17.9	17.9	15.7	2.17	2.81	0.168	0.661	0.745	0.986	0.971	0.822
CESM2_CCAM	[-]	18.1	18.1	15.8	2.35	3.05	0.304	0.627	0.727	0.972	0.978	0.806
CESM2_CMIP6	[-]	15.6	15.6	15.1	0.469	2.75	0.00	0.852	0.579	1.00	0.838	0.770
CMCC-ESM2_BARPA	[-]	16.8	16.8	15.7	1.10	1.95	0.222	0.755	0.838	0.982	0.960	0.875
CMCC-ESM2_CCAM	[-]	15.6	15.6	15.8	-0.210	1.69	0.821	0.814	0.801	0.940	0.980	0.867
CMCC-ESM2_CMIP6	[-]	13.2	13.2	15.1	-1.96	2.67	1.03	0.682	0.713	0.930	0.702	0.748
CNRM-ESM2-1_CCAM	[-]	15.3	15.3	15.8	-0.459	2.38	1.62	0.826	0.671	0.801	0.965	0.787
CNRM-ESM2-1_CMIP6	[-]	16.2	16.2	14.5	1.77	2.57	1.36	0.687	0.759	0.865	0.997	0.813
EC-Earth3_BARPA	[-]	15.5	15.5	15.7	-0.229	2.03	0.592	0.805	0.742	0.937	0.991	0.843
EC-Earth3_CCAM	[-]	14.9	14.9	15.8	-0.841	1.74	0.481	0.804	0.796	0.950	0.997	0.869
EC-Earth3_CMIP6	[-]	16.0	16.0	15.6	0.363	1.74	0.376	0.848	0.768	0.975	0.999	0.872
ERA5_BARPA	[-]	16.4	16.4	15.7	0.672	1.81	0.248	0.799	0.815	0.978	0.991	0.880
ERA5_CCAM	[-]	14.0	14.0	15.8	-1.76	2.30	0.396	0.699	0.797	0.969	0.988	0.850
MPI-ESM1-2-HR_BARPA	[-]	18.0	18.0	15.7	2.26	2.71	0.234	0.641	0.829	0.983	0.925	0.841
MPI-ESM1-2-HR_CMIP6	[-]	14.3	14.3	16.3	-1.99	2.97	0.00	0.712	0.727	1.00	0.992	0.832
NorESM2-MM_BARPA	[-]	17.4	17.4	15.7	1.68	2.32	0.192	0.727	0.787	0.984	0.993	0.855
NorESM2-MM_CCAM	[-]	16.0	16.0	15.8	0.241	1.65	0.184	0.851	0.784	0.985	0.993	0.879
NorESM2-MM_CMIP6	[-]	15.3	15.3	15.1	0.216	1.79	0.00	0.948	0.697	1.00	1.00	0.868

	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	[-]	9.06
ACCESS-CM2_BARPA	[-]	9.50	9.50	9.04	0.461	1.79	0.950	0.832	0.668	0.909	0.977	0.811
ACCESS-CM2_CCAM	[-]	8.25	8.25	9.06	-0.813	1.90	1.75	0.762	0.684	0.775	0.903	0.762
ACCESS-CM2_CMIP6	[-]	8.86	8.86	9.05	-0.189	1.63	1.34	0.865	0.645	0.872	0.716	0.749
ACCESS-ESM1-5_BARPA	[-]	8.48	8.48	9.04	-0.564	1.98	1.22	0.814	0.645	0.868	0.998	0.794
ACCESS-ESM1-5_CCAM	[-]	8.19	8.19	9.06	-0.874	2.23	1.84	0.747	0.632	0.753	0.906	0.734
ACCESS-ESM1-5_CMIP6	[-]	8.35	8.35	8.49	-0.137	2.13	2.04	0.820	0.551	0.717	0.990	0.726
CESM2_BARPA	[-]	9.82	9.82	9.04	0.784	2.18	0.914	0.784	0.631	0.910	0.971	0.786
CESM2_CCAM	[-]	7.47	7.47	9.06	-1.59	2.20	1.74	0.667	0.696	0.766	0.994	0.764
CESM2_CMIP6	[-]	10.7	10.7	8.94	1.81	2.39	1.19	0.627	0.684	0.872	0.251	0.623
CMCC-ESM2_BARPA	[-]	9.87	9.87	9.04	0.836	2.27	0.912	0.751	0.635	0.917	0.986	0.785
CMCC-ESM2_CCAM	[-]	10.4	10.4	9.06	1.33	2.72	1.05	0.659	0.606	0.874	0.796	0.708
CMCC-ESM2_CMIP6	[-]	12.3	12.3	8.94	3.35	4.19	2.87	0.417	0.627	0.577	0.778	0.605
CNRM-ESM2-1_CCAM	[-]	8.11	8.11	9.06	-0.958	2.08	1.80	0.753	0.649	0.760	0.910	0.744
CNRM-ESM2-1_CMIP6	[-]	10.7	10.7	9.80	0.876	3.32	1.37	0.482	0.579	0.827	0.764	0.646
EC-Earth3_BARPA	[-]	8.49	8.49	9.04	-0.553	1.83	1.34	0.817	0.668	0.840	0.993	0.797
EC-Earth3_CCAM	[-]	8.54	8.54	9.06	-0.522	2.19	2.07	0.778	0.621	0.708	0.809	0.707
EC-Earth3_CMIP6	[-]	8.63	8.63	8.84	-0.210	1.97	2.28	0.763	0.637	0.655	0.930	0.724
ERA5_BARPA	[-]	9.87	9.87	9.05	0.819	1.63	0.652	0.785	0.732	0.930	0.992	0.834
ERA5_CCAM	[-]	9.35	9.35	9.08	0.276	1.55	0.880	0.775	0.759	0.884	0.878	0.811
MPI-ESM1-2-HR_BARPA	[-]	8.07	8.07	9.04	-0.970	1.68	1.30	0.766	0.731	0.841	0.936	0.801
MPI-ESM1-2-HR_CMIP6	[-]	7.02	7.02	8.94	-1.92	3.33	2.89	0.598	0.508	0.566	0.996	0.635
NorESM2-MM_BARPA	[-]	10.6	10.6	9.04	1.55	2.43	0.912	0.672	0.645	0.910	0.976	0.769
NorESM2-MM_CCAM	[-]	8.81	8.81	9.06	-0.251	1.54	1.39	0.796	0.733	0.816	0.968	0.809
NorESM2-MM_CMIP6	[-]	10.9	10.9	8.94	1.95	2.40	1.86	0.605	0.705	0.702	0.437	0.631

	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	[-]	9.66
ACCESS-CM2_BARPA	[-]	10.3	10.3	9.73	0.552	1.28	0.235	0.858	0.811	0.983	0.998	0.892
ACCESS-CM2_CCAM	[-]	8.47	8.47	9.67	-1.20	1.85	0.143	0.772	0.756	0.989	0.790	0.812
ACCESS-CM2_CMIP6	[-]	10.0	10.0	10.3	-0.267	1.80	0.00	0.888	0.697	1.00	0.939	0.844
ACCESS-ESM1-5_BARPA	[-]	9.24	9.24	9.73	-0.486	1.23	0.159	0.863	0.815	0.987	0.993	0.894
ACCESS-ESM1-5_CCAM	[-]	8.27	8.27	9.67	-1.40	1.98	0.186	0.738	0.747	0.982	0.954	0.834
ACCESS-ESM1-5_CMIP6	[-]	8.82	8.82	8.45	0.372	1.26	0.00	0.910	0.744	1.00	0.992	0.878
CESM2_BARPA	[-]	10.5	10.5	9.73	0.815	1.42	0.337	0.831	0.809	0.974	0.998	0.884
CESM2_CCAM	[-]	9.33	9.33	9.67	-0.342	1.37	0.152	0.865	0.792	0.988	0.998	0.887
CESM2_CMIP6	[-]	9.91	9.91	9.41	0.500	1.51	0.00	0.886	0.759	1.00	0.650	0.811
CMCC-ESM2_BARPA	[-]	9.85	9.85	9.73	0.122	1.15	0.468	0.876	0.829	0.963	0.998	0.899
CMCC-ESM2_CCAM	[-]	9.34	9.34	9.67	-0.328	1.37	0.619	0.879	0.778	0.954	0.789	0.835
CMCC-ESM2_CMIP6	[-]	9.02	9.02	9.41	-0.389	1.01	1.03	0.876	0.857	0.930	0.676	0.839
CNRM-ESM2-1_CCAM	[-]	8.25	8.25	9.67	-1.42	2.16	0.895	0.736	0.710	0.941	0.896	0.798
CNRM-ESM2-1_CMIP6	[-]	8.95	8.95	11.2	-2.26	2.53	1.03	0.627	0.790	0.930	1.00	0.828
EC-Earth3_BARPA	[-]	8.35	8.35	9.73	-1.37	1.93	0.213	0.742	0.762	0.983	0.992	0.848
EC-Earth3_CCAM	[-]	8.20	8.20	9.67	-1.47	2.20	0.143	0.728	0.711	0.989	0.859	0.800
EC-Earth3_CMIP6	[-]	8.46	8.46	9.64	-1.18	1.77	0.0857	0.775	0.762	0.993	0.995	0.858
ERA5_BARPA	[-]	10.1	10.1	9.72	0.336	1.26	0.529	0.863	0.821	0.963	0.998	0.893
ERA5_CCAM	[-]	8.81	8.81	9.67	-0.851	1.65	0.158	0.826	0.755	0.987	0.845	0.833
MPI-ESM1-2-HR_BARPA	[-]	9.96	9.96	9.73	0.235	1.27	0.526	0.893	0.796	0.964	0.995	0.889
MPI-ESM1-2-HR_CMIP6	[-]	6.65	6.65	9.47	-2.82	3.43	0.827	0.531	0.667	0.945	0.993	0.761
NorESM2-MM_BARPA	[-]	10.9	10.9	9.73	1.20	1.84	0.312	0.775	0.769	0.976	0.998	0.858
NorESM2-MM_CCAM	[-]	9.79	9.79	9.67	0.118	1.22	0.210	0.879	0.805	0.985	0.904	0.875
NorESM2-MM_CMIP6	[-]	10.3	10.3	9.41	0.936	1.42	0.00	0.830	0.819	1.00	0.712	0.836

	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	[-]	5.37
ACCESS-CM2_BARPA	[-]	5.81	5.81	5.33	0.488	1.23	0.964	0.850	0.794	0.908	0.991	0.867
ACCESS-CM2_CCAM	[-]	4.57	4.57	5.38	-0.812	1.62	1.05	0.801	0.716	0.902	0.950	0.817
ACCESS-CM2_CMIP6	[-]	5.33	5.33	5.52	-0.188	1.60	1.03	0.870	0.687	0.911	0.931	0.817
ACCESS-ESM1-5_BARPA	[-]	5.10	5.10	5.33	-0.226	1.46	1.02	0.893	0.709	0.905	0.997	0.843
ACCESS-ESM1-5_CCAM	[-]	4.15	4.15	5.38	-1.24	2.01	0.714	0.733	0.676	0.931	0.962	0.796
ACCESS-ESM1-5_CMIP6	[-]	5.07	5.07	5.25	-0.182	1.79	2.04	0.938	0.597	0.747	0.998	0.775
CESM2_BARPA	[-]	5.66	5.66	5.33	0.330	1.32	0.774	0.873	0.747	0.914	0.975	0.851
CESM2_CCAM	[-]	4.19	4.19	5.38	-1.20	1.45	0.409	0.744	0.821	0.970	0.970	0.865
CESM2_CMIP6	[-]	5.57	5.57	5.27	0.306	1.50	1.17	0.915	0.677	0.868	0.988	0.825
CMCC-ESM2_BARPA	[-]	5.38	5.38	5.33	0.0526	1.46	1.21	0.905	0.704	0.862	0.998	0.835
CMCC-ESM2_CCAM	[-]	5.93	5.93	5.38	0.549	1.81	1.54	0.850	0.669	0.811	0.787	0.757
CMCC-ESM2_CMIP6	[-]	5.32	5.32	5.27	0.0516	1.20	1.60	0.948	0.730	0.842	0.937	0.837
CNRM-ESM2-1_CCAM	[-]	4.92	4.92	5.38	-0.462	1.63	1.03	0.859	0.685	0.899	0.892	0.804
CNRM-ESM2-1_CMIP6	[-]	3.91	3.91	4.76	-0.857	1.27	0.613	0.787	0.766	0.959	0.922	0.840
EC-Earth3_BARPA	[-]	4.20	4.20	5.33	-1.13	1.76	1.07	0.753	0.714	0.899	0.996	0.815
EC-Earth3_CCAM	[-]	4.44	4.44	5.38	-0.946	1.98	1.24	0.787	0.654	0.860	0.970	0.785
EC-Earth3_CMIP6	[-]	4.24	4.24	5.44	-1.20	1.74	0.869	0.737	0.729	0.903	0.994	0.818
ERA5_BARPA	[-]	5.75	5.75	5.32	0.425	1.40	0.961	0.867	0.740	0.885	0.996	0.846
ERA5_CCAM	[-]	5.05	5.05	5.38	-0.334	1.39	0.723	0.882	0.726	0.931	0.934	0.840
MPI-ESM1-2-HR_BARPA	[-]	5.02	5.02	5.33	-0.306	1.29	0.695	0.875	0.747	0.940	0.982	0.858
MPI-ESM1-2-HR_CMIP6	[-]	2.20	2.20	5.35	-3.15	3.53	1.02	0.431	0.661	0.917	0.736	0.681
NorESM2-MM_BARPA	[-]	6.48	6.48	5.33	1.15	1.73	1.18	0.745	0.739	0.882	0.974	0.816
NorESM2-MM_CCAM	[-]	6.10	6.10	5.38	0.721	1.27	0.576	0.827	0.792	0.953	0.931	0.859
NorESM2-MM_CMIP6	[-]	6.68	6.68	5.27	1.41	1.72	0.584	0.686	0.785	0.958	0.964	0.835

	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	[-]	5.83
ACCESS-CM2_BARPA	[-]	5.66	5.67	5.82	4.49	-0.152	1.70	0.792	0.876	0.678	0.920	0.920	0.814
ACCESS-CM2_CCAM	[-]	4.86	4.87	5.82	3.87	-0.955	2.02	0.618	0.790	0.661	0.918	0.898	0.786
ACCESS-CM2_CMIP6	[-]	5.18	5.18	5.75		-0.569	2.00	0.929	0.809	0.628	0.851	0.775	0.738
ACCESS-ESM1-5_BARPA	[-]	4.73	4.74	5.82	4.02	-1.09	2.08	0.867	0.766	0.657	0.895	0.800	0.755
ACCESS-ESM1-5_CCAM	[-]	3.97	3.98	5.82	2.92	-1.84	2.47	0.278	0.635	0.673	0.967	0.933	0.776
ACCESS-ESM1-5_CMIP6	[-]	4.33	4.33	5.69		-1.36	2.73	2.16	0.705	0.548	0.654	0.869	0.665
CESM2_BARPA	[-]	5.48	5.49	5.82	3.84	-0.326	1.46	0.165	0.872	0.725	0.981	0.991	0.859
CESM2_CCAM	[-]	5.30	5.32	5.82	3.00	-0.504	1.61	0.0855	0.818	0.742	0.993	0.932	0.845
CESM2_CMIP6	[-]	4.76	4.76	5.86		-1.10	1.85	0.0403	0.756	0.696	0.998	0.946	0.818
CMCC-ESM2_BARPA	[-]	5.11	5.12	5.82	3.87	-0.699	1.39	0.446	0.832	0.758	0.946	0.953	0.850
CMCC-ESM2_CCAM	[-]	6.31	6.32	5.82	5.55	0.495	2.15	1.44	0.823	0.631	0.799	0.926	0.762
CMCC-ESM2_CMIP6	[-]	5.90	5.90	5.86		0.0324	1.54	0.518	0.841	0.731	0.938	0.639	0.776
CNRM-ESM2-1_CCAM	[-]	5.44	5.44	5.82	4.62	-0.376	2.18	1.53	0.832	0.616	0.817	0.765	0.729
CNRM-ESM2-1_CMIP6	[-]	5.06	5.06	5.76		-0.706	1.70	0.564	0.769	0.713	0.960	0.992	0.829
EC-Earth3_BARPA	[-]	4.90	4.92	5.82	3.28	-0.906	1.60	0.478	0.784	0.745	0.962	0.925	0.832
EC-Earth3_CCAM	[-]	5.27	5.28	5.82	3.77	-0.540	1.86	0.846	0.837	0.670	0.889	0.935	0.800
EC-Earth3_CMIP6	[-]	4.80	4.80	5.80		-1.00	1.92	0.512	0.771	0.675	0.938	0.985	0.809
ERA5_BARPA	[-]	5.86	5.87	5.81	4.73	0.0644	1.36	0.159	0.872	0.747	0.984	0.885	0.847
ERA5_CCAM	[-]	4.90	4.91	5.81	3.88	-0.902	1.73	0.469	0.797	0.715	0.956	0.892	0.815
MPI-ESM1-2-HR_BARPA	[-]	4.97	4.98	5.82	3.32	-0.839	1.55	0.131	0.802	0.746	0.989	0.969	0.850
MPI-ESM1-2-HR_CMIP6	[-]	2.79	2.79	5.65		-2.85	3.14	0.148	0.480	0.724	0.992	0.685	0.721
NorESM2-MM_BARPA	[-]	6.12	6.13	5.82	4.79	0.305	1.36	0.581	0.874	0.745	0.923	0.954	0.848
NorESM2-MM_CCAM	[-]	4.98	4.98	5.82	4.47	-0.841	1.97	0.743	0.813	0.667	0.908	0.830	0.777
NorESM2-MM_CMIP6	[-]	5.44	5.44	5.86		-0.419	1.49	0.159	0.868	0.721	0.978	0.874	0.832

	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	[-]	9.36
ACCESS-CM2_BARPA	[-]	8.58	8.64	9.32	7.86	-0.688	3.13	0.694	0.842	0.735	0.941	0.874	0.825
ACCESS-CM2_CCAM	[-]	7.15	7.11	9.34	7.49	-2.22	4.22	0.788	0.753	0.670	0.929	0.984	0.801
ACCESS-CM2_CMIP6	[-]	7.12	7.12	9.18		-2.05	4.50	0.983	0.754	0.625	0.937	0.474	0.683
ACCESS-ESM1-5_BARPA	[-]	9.39	9.41	9.32	9.01	0.0885	2.65	0.468	0.848	0.769	0.964	0.901	0.850
ACCESS-ESM1-5_CCAM	[-]	9.37	9.32	9.34	9.97	-0.0184	3.14	0.566	0.877	0.711	0.955	0.964	0.843
ACCESS-ESM1-5_CMIP6	[-]	11.0	11.0	9.15		1.90	5.18	1.23	0.806	0.580	0.890	0.687	0.709
CESM2_BARPA	[-]	7.33	7.37	9.32	6.82	-1.96	3.13	0.473	0.785	0.761	0.958	0.979	0.849
CESM2_CCAM	[-]	9.11	9.18	9.34	8.42	-0.161	2.74	0.927	0.878	0.747	0.922	0.991	0.857
CESM2_CMIP6	[-]	9.69	9.69	8.90		0.798	2.78	0.984	0.901	0.741	0.922	0.988	0.859
CMCC-ESM2_BARPA	[-]	7.05	7.07	9.32	6.78	-2.25	3.30	0.438	0.762	0.759	0.964	0.962	0.841
CMCC-ESM2_CCAM	[-]	9.85	9.83	9.34	10.1	0.497	2.06	0.298	0.863	0.828	0.977	0.990	0.897
CMCC-ESM2_CMIP6	[-]	12.1	12.1	8.90		3.24	3.93	0.873	0.678	0.770	0.945	0.986	0.830
CNRM-ESM2-1_CCAM	[-]	8.06	7.97	9.34	9.02	-1.36	2.80	0.500	0.816	0.784	0.961	0.973	0.863
CNRM-ESM2-1_CMIP6	[-]	6.32	6.32	8.67		-2.35	3.79	0.657	0.764	0.717	0.955	0.991	0.829
EC-Earth3_BARPA	[-]	7.96	7.97	9.32	7.88	-1.36	2.14	0.673	0.827	0.847	0.955	0.966	0.888
EC-Earth3_CCAM	[-]	9.96	9.91	9.34	10.4	0.578	3.12	0.699	0.865	0.718	0.954	0.983	0.848
EC-Earth3_CMIP6	[-]	11.2	11.2	9.05		2.14	5.21	1.21	0.784	0.567	0.896	0.995	0.762
ERA5_BARPA	[-]	9.08	9.11	9.36	8.69	-0.249	2.37	0.259	0.879	0.786	0.982	0.965	0.880
ERA5_CCAM	[-]	9.83	9.80	9.37	10.2	0.427	1.75	0.452	0.882	0.856	0.970	0.988	0.910
MPI-ESM1-2-HR_BARPA	[-]	7.18	7.23	9.32	6.56	-2.10	3.17	0.340	0.770	0.778	0.968	0.895	0.838
MPI-ESM1-2-HR_CMIP6	[-]	3.86	3.86	8.96		-5.10	6.52	0.262	0.526	0.641	0.982	0.888	0.736
NorESM2-MM_BARPA	[-]	9.02	9.04	9.32	8.72	-0.283	2.72	0.639	0.874	0.744	0.949	0.994	0.861
NorESM2-MM_CCAM	[-]	11.1	11.1	9.34	10.8	1.81	2.56	0.529	0.803	0.829	0.965	0.986	0.882
NorESM2-MM_CMIP6	[-]	11.4	11.4	8.90		2.50	2.92	0.768	0.751	0.846	0.951	0.934	0.866

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:: Wed Jun 05 08:51:50 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/RR1/v20240411/RR1_AUS-r005_AGCD_historical_none_BOM_none_none_mon_19790101-20211231.nc ./indices/none/none/AUS-r005/BOM/AGCD/historical/none/none/none/climdex/RR1/v20240411/RR1_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 RR1 /g/data/xv83/users/bxn599/ACS/icclim_indices_acs/agcd/indices/none/none/AUS-r005/BOM/AGCD/historical/none/none/none/climdex/RR1/v20240411/RR1_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 2.1.0 (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:: RR1

Cdo:: Climate Data Operators version 2.1.0 (https://mpimet.mpg.de/cdo)

Mean State

Temporally integrated period mean

Spatially integrated regional mean

All Models

Data Information