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	[-]	0.510
ACCESS-CM2_BARPA	[-]	0.513	0.537	0.508	0.418	0.0297	0.334	1.08	0.854	0.745	0.912	0.946	0.840
ACCESS-CM2_CCAM	[-]	0.470	0.491	0.508	0.392	-0.0167	0.357	1.16	0.825	0.738	0.904	0.762	0.793
ACCESS-CM2_CMIP6	[-]	0.461	0.471	0.505	0.356	-0.0351	0.379	1.04	0.804	0.692	0.900	0.665	0.751
ACCESS-ESM1-5_BARPA	[-]	0.471	0.502	0.508	0.348	-0.00553	0.291	0.943	0.869	0.770	0.924	0.961	0.859
ACCESS-ESM1-5_CCAM	[-]	0.521	0.560	0.508	0.372	0.0522	0.320	1.19	0.861	0.754	0.900	0.961	0.846
ACCESS-ESM1-5_CMIP6	[-]	0.487	0.499	0.498	0.331	0.00123	0.370	1.03	0.843	0.684	0.900	0.922	0.807
CESM2_BARPA	[-]	0.386	0.412	0.508	0.282	-0.0959	0.335	1.15	0.841	0.740	0.910	0.905	0.827
CESM2_CCAM	[-]	0.330	0.363	0.508	0.203	-0.144	0.356	1.66	0.842	0.730	0.853	0.929	0.817
CESM2_CMIP6	[-]	0.518	0.544	0.497	0.297	0.0470	0.353	0.959	0.858	0.708	0.902	0.943	0.824
CMCC-ESM2_BARPA	[-]	0.336	0.357	0.508	0.254	-0.151	0.387	1.70	0.822	0.710	0.857	0.848	0.789
CMCC-ESM2_CCAM	[-]	0.537	0.561	0.508	0.448	0.0530	0.356	1.41	0.825	0.752	0.885	0.863	0.816
CMCC-ESM2_CMIP6	[-]	0.511	0.526	0.497	0.386	0.0287	0.327	1.01	0.857	0.734	0.908	0.932	0.833
CNRM-ESM2-1_CCAM	[-]	0.409	0.433	0.508	0.319	-0.0746	0.340	1.10	0.844	0.738	0.904	0.724	0.790
CNRM-ESM2-1_CMIP6	[-]	0.370	0.383	0.494	0.234	-0.111	0.337	1.08	0.819	0.721	0.888	0.776	0.785
EC-Earth3_BARPA	[-]	0.325	0.356	0.508	0.198	-0.151	0.300	0.986	0.831	0.781	0.917	0.940	0.850
EC-Earth3_CCAM	[-]	0.417	0.453	0.508	0.282	-0.0550	0.279	1.02	0.885	0.775	0.903	0.969	0.861
EC-Earth3_CMIP6	[-]	0.396	0.421	0.503	0.241	-0.0829	0.319	0.999	0.848	0.750	0.898	0.951	0.839
ERA5_BARPA	[-]	0.475	0.504	0.511	0.361	-0.00734	0.314	1.30	0.880	0.750	0.878	0.936	0.839
ERA5_CCAM	[-]	0.470	0.510	0.511	0.320	-0.00175	0.268	1.11	0.875	0.795	0.898	0.926	0.858
MPI-ESM1-2-HR_BARPA	[-]	0.320	0.341	0.508	0.235	-0.166	0.331	1.03	0.811	0.761	0.913	0.906	0.830
MPI-ESM1-2-HR_CMIP6	[-]	0.188	0.196	0.513	0.131	-0.317	0.479	1.21	0.684	0.690	0.894	0.582	0.708
NorESM2-MM_BARPA	[-]	0.544	0.565	0.508	0.462	0.0575	0.398	1.92	0.855	0.698	0.826	0.946	0.804
NorESM2-MM_CCAM	[-]	0.642	0.669	0.508	0.541	0.161	0.365	1.26	0.818	0.767	0.898	0.924	0.835
NorESM2-MM_CMIP6	[-]	0.753	0.780	0.497	0.514	0.283	0.478	1.19	0.733	0.701	0.886	0.950	0.794

	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	[-]	0.587
ACCESS-CM2_BARPA	[-]	0.762	0.762	0.587	0.175	0.317	1.03	0.809	0.758	0.897	0.901	0.832
ACCESS-CM2_CCAM	[-]	0.780	0.780	0.587	0.194	0.332	0.865	0.803	0.746	0.907	0.886	0.825
ACCESS-CM2_CMIP6	[-]	0.806	0.806	0.575	0.230	0.350	0.681	0.738	0.704	0.950	0.968	0.825
ACCESS-ESM1-5_BARPA	[-]	0.749	0.749	0.587	0.162	0.321	0.993	0.815	0.750	0.902	0.958	0.844
ACCESS-ESM1-5_CCAM	[-]	0.916	0.916	0.587	0.329	0.464	0.875	0.691	0.694	0.907	0.875	0.781
ACCESS-ESM1-5_CMIP6	[-]	0.802	0.802	0.589	0.212	0.438	0.704	0.770	0.611	0.955	0.784	0.761
CESM2_BARPA	[-]	0.656	0.656	0.587	0.0694	0.270	0.885	0.887	0.759	0.902	0.990	0.871
CESM2_CCAM	[-]	0.430	0.430	0.587	-0.156	0.283	1.30	0.833	0.772	0.857	0.964	0.847
CESM2_CMIP6	[-]	0.865	0.865	0.586	0.279	0.429	1.10	0.697	0.664	0.876	0.975	0.787
CMCC-ESM2_BARPA	[-]	0.570	0.570	0.587	-0.0167	0.278	1.07	0.912	0.744	0.879	0.986	0.865
CMCC-ESM2_CCAM	[-]	0.843	0.843	0.587	0.257	0.432	0.918	0.752	0.680	0.902	0.855	0.784
CMCC-ESM2_CMIP6	[-]	0.603	0.603	0.586	0.0168	0.251	0.837	0.937	0.729	0.923	0.947	0.867
CNRM-ESM2-1_CCAM	[-]	0.611	0.611	0.587	0.0239	0.241	0.976	0.922	0.773	0.907	0.969	0.880
CNRM-ESM2-1_CMIP6	[-]	0.629	0.629	0.586	0.0424	0.277	1.83	0.858	0.736	0.783	0.643	0.753
EC-Earth3_BARPA	[-]	0.374	0.374	0.587	-0.213	0.291	1.03	0.779	0.806	0.898	0.859	0.832
EC-Earth3_CCAM	[-]	0.513	0.513	0.587	-0.0733	0.280	1.02	0.891	0.749	0.890	0.971	0.861
EC-Earth3_CMIP6	[-]	0.349	0.349	0.584	-0.235	0.295	1.08	0.740	0.816	0.899	0.761	0.806
ERA5_BARPA	[-]	0.662	0.662	0.588	0.0737	0.291	1.16	0.885	0.743	0.864	0.990	0.856
ERA5_CCAM	[-]	0.762	0.762	0.588	0.175	0.299	1.28	0.821	0.770	0.843	0.960	0.840
MPI-ESM1-2-HR_BARPA	[-]	0.364	0.364	0.587	-0.223	0.313	1.36	0.770	0.784	0.827	0.772	0.788
MPI-ESM1-2-HR_CMIP6	[-]	0.255	0.255	0.593	-0.339	0.390	1.52	0.645	0.784	0.822	0.568	0.714
NorESM2-MM_BARPA	[-]	0.827	0.827	0.587	0.240	0.475	1.91	0.756	0.636	0.738	0.855	0.734
NorESM2-MM_CCAM	[-]	0.879	0.879	0.587	0.293	0.397	1.19	0.723	0.750	0.871	0.973	0.821
NorESM2-MM_CMIP6	[-]	1.07	1.07	0.586	0.482	0.573	1.23	0.543	0.676	0.864	0.988	0.758

	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	[-]	0.860
ACCESS-CM2_BARPA	[-]	0.939	0.939	0.859	0.0797	0.396	0.772	0.848	0.760	0.928	0.979	0.867
ACCESS-CM2_CCAM	[-]	0.764	0.764	0.858	-0.0941	0.362	0.932	0.852	0.781	0.903	0.923	0.835
ACCESS-CM2_CMIP6	[-]	0.683	0.683	0.943	-0.260	0.470	0.861	0.776	0.716	0.916	0.622	0.732
ACCESS-ESM1-5_BARPA	[-]	0.938	0.938	0.859	0.0790	0.397	0.829	0.853	0.759	0.914	0.972	0.862
ACCESS-ESM1-5_CCAM	[-]	1.03	1.03	0.858	0.176	0.399	0.947	0.841	0.775	0.905	0.980	0.862
ACCESS-ESM1-5_CMIP6	[-]	0.772	0.772	0.809	-0.0376	0.463	0.845	0.869	0.639	0.934	0.906	0.790
CESM2_BARPA	[-]	0.870	0.870	0.859	0.0108	0.408	0.983	0.869	0.741	0.907	0.954	0.855
CESM2_CCAM	[-]	0.725	0.725	0.858	-0.133	0.358	1.19	0.878	0.772	0.876	0.983	0.870
CESM2_CMIP6	[-]	0.915	0.915	0.841	0.0731	0.363	1.46	0.905	0.725	0.836	0.980	0.831
CMCC-ESM2_BARPA	[-]	0.728	0.728	0.859	-0.131	0.455	1.12	0.835	0.728	0.868	0.922	0.830
CMCC-ESM2_CCAM	[-]	0.858	0.858	0.858	-0.000388	0.370	1.02	0.856	0.782	0.890	0.960	0.855
CMCC-ESM2_CMIP6	[-]	0.671	0.671	0.841	-0.171	0.342	0.917	0.847	0.765	0.899	0.932	0.827
CNRM-ESM2-1_CCAM	[-]	0.770	0.770	0.858	-0.0880	0.357	0.982	0.875	0.772	0.900	0.941	0.852
CNRM-ESM2-1_CMIP6	[-]	0.927	0.927	0.861	0.0667	0.338	1.07	0.900	0.752	0.916	0.988	0.878
EC-Earth3_BARPA	[-]	0.643	0.643	0.859	-0.216	0.404	0.844	0.799	0.788	0.932	0.936	0.856
EC-Earth3_CCAM	[-]	0.722	0.722	0.858	-0.136	0.351	1.05	0.858	0.790	0.869	0.988	0.859
EC-Earth3_CMIP6	[-]	0.539	0.539	0.852	-0.313	0.398	0.924	0.748	0.807	0.920	0.814	0.830
ERA5_BARPA	[-]	0.871	0.871	0.863	0.00847	0.379	1.18	0.872	0.758	0.853	0.984	0.855
ERA5_CCAM	[-]	0.905	0.905	0.862	0.0433	0.295	0.919	0.897	0.812	0.895	0.981	0.879
MPI-ESM1-2-HR_BARPA	[-]	0.516	0.516	0.859	-0.343	0.455	0.753	0.744	0.791	0.923	0.936	0.837
MPI-ESM1-2-HR_CMIP6	[-]	0.239	0.239	0.870	-0.631	0.725	0.721	0.558	0.721	0.923	0.735	0.703
NorESM2-MM_BARPA	[-]	0.983	0.983	0.859	0.124	0.487	1.16	0.854	0.699	0.876	0.972	0.834
NorESM2-MM_CCAM	[-]	0.881	0.881	0.858	0.0233	0.392	0.925	0.846	0.767	0.916	0.562	0.775
NorESM2-MM_CMIP6	[-]	1.10	1.10	0.841	0.259	0.484	1.19	0.768	0.710	0.869	0.725	0.771

	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	[-]	0.934
ACCESS-CM2_BARPA	[-]	0.795	0.787	0.936	0.926	-0.149	0.545	0.582	0.892	0.752	0.962	0.954	0.866
ACCESS-CM2_CCAM	[-]	0.635	0.624	0.932	0.788	-0.308	0.637	0.549	0.832	0.729	0.960	0.718	0.781
ACCESS-CM2_CMIP6	[-]	0.688	0.688	0.995		-0.307	0.717	0.554	0.830	0.684	0.954	0.698	0.755
ACCESS-ESM1-5_BARPA	[-]	0.799	0.793	0.936	0.887	-0.142	0.449	0.509	0.894	0.796	0.964	0.957	0.898
ACCESS-ESM1-5_CCAM	[-]	0.859	0.847	0.932	1.03	-0.0852	0.512	0.547	0.906	0.759	0.962	0.927	0.886
ACCESS-ESM1-5_CMIP6	[-]	0.787	0.788	0.958		-0.171	0.540	0.414	0.895	0.736	0.972	0.960	0.876
CESM2_BARPA	[-]	0.571	0.566	0.936	0.646	-0.370	0.656	0.534	0.806	0.734	0.965	0.848	0.829
CESM2_CCAM	[-]	0.627	0.603	0.932	0.931	-0.328	0.671	0.605	0.829	0.719	0.955	0.985	0.855
CESM2_CMIP6	[-]	0.956	0.956	0.954		0.00192	0.563	0.496	0.928	0.726	0.968	0.972	0.886
CMCC-ESM2_BARPA	[-]	0.499	0.493	0.936	0.592	-0.443	0.781	0.515	0.774	0.692	0.965	0.851	0.809
CMCC-ESM2_CCAM	[-]	0.745	0.723	0.932	1.03	-0.208	0.512	0.576	0.867	0.777	0.963	0.950	0.877
CMCC-ESM2_CMIP6	[-]	1.02	1.02	0.954		0.0617	0.512	0.622	0.903	0.765	0.956	0.986	0.892
CNRM-ESM2-1_CCAM	[-]	0.591	0.581	0.932	0.728	-0.351	0.694	0.539	0.812	0.710	0.961	0.585	0.765
CNRM-ESM2-1_CMIP6	[-]	0.534	0.534	0.966		-0.432	0.745	0.345	0.765	0.704	0.978	0.904	0.834
EC-Earth3_BARPA	[-]	0.649	0.637	0.936	0.833	-0.299	0.540	0.505	0.839	0.781	0.965	0.981	0.883
EC-Earth3_CCAM	[-]	0.830	0.798	0.932	1.25	-0.133	0.469	0.493	0.896	0.788	0.967	0.942	0.891
EC-Earth3_CMIP6	[-]	0.925	0.917	0.956	1.80	-0.0385	0.544	0.601	0.889	0.750	0.955	0.918	0.874
ERA5_BARPA	[-]	0.789	0.784	0.944	0.857	-0.160	0.555	0.783	0.892	0.749	0.940	0.941	0.872
ERA5_CCAM	[-]	0.784	0.765	0.940	1.03	-0.175	0.440	0.508	0.893	0.801	0.964	0.977	0.895
MPI-ESM1-2-HR_BARPA	[-]	0.562	0.550	0.936	0.747	-0.386	0.632	0.549	0.799	0.753	0.966	0.926	0.846
MPI-ESM1-2-HR_CMIP6	[-]	0.288	0.285	0.958	0.596	-0.672	1.04	0.462	0.663	0.630	0.969	0.798	0.749
NorESM2-MM_BARPA	[-]	0.815	0.808	0.936	0.917	-0.128	0.616	0.537	0.905	0.717	0.958	0.957	0.874
NorESM2-MM_CCAM	[-]	0.981	0.968	0.932	1.16	0.0361	0.428	0.533	0.906	0.803	0.963	0.984	0.906
NorESM2-MM_CMIP6	[-]	1.32	1.32	0.954		0.367	0.667	0.630	0.817	0.736	0.959	0.982	0.857

	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	[-]	0.342
ACCESS-CM2_BARPA	[-]	0.479	0.479	0.343	0.136	0.269	2.45	0.770	0.698	0.680	0.854	0.745
ACCESS-CM2_CCAM	[-]	0.543	0.543	0.341	0.202	0.300	2.34	0.718	0.713	0.683	0.953	0.761
ACCESS-CM2_CMIP6	[-]	0.520	0.520	0.351	0.169	0.351	3.06	0.646	0.613	0.519	0.877	0.658
ACCESS-ESM1-5_BARPA	[-]	0.426	0.426	0.343	0.0824	0.229	1.89	0.823	0.711	0.752	0.916	0.791
ACCESS-ESM1-5_CCAM	[-]	0.481	0.481	0.341	0.140	0.274	2.29	0.771	0.696	0.633	0.968	0.759
ACCESS-ESM1-5_CMIP6	[-]	0.455	0.455	0.356	0.0994	0.377	1.78	0.661	0.527	0.660	0.724	0.630
CESM2_BARPA	[-]	0.406	0.406	0.343	0.0627	0.216	1.57	0.844	0.722	0.769	0.905	0.800
CESM2_CCAM	[-]	0.243	0.243	0.341	-0.0986	0.198	1.90	0.802	0.767	0.718	0.892	0.791
CESM2_CMIP6	[-]	0.476	0.476	0.348	0.128	0.331	1.88	0.710	0.594	0.601	0.884	0.686
CMCC-ESM2_BARPA	[-]	0.368	0.368	0.343	0.0249	0.214	2.52	0.865	0.719	0.669	0.942	0.790
CMCC-ESM2_CCAM	[-]	0.592	0.592	0.341	0.251	0.353	2.08	0.669	0.674	0.670	0.918	0.726
CMCC-ESM2_CMIP6	[-]	0.398	0.398	0.348	0.0501	0.250	1.70	0.741	0.674	0.650	0.675	0.684
CNRM-ESM2-1_CCAM	[-]	0.333	0.333	0.341	-0.00829	0.194	1.82	0.864	0.744	0.696	0.938	0.803
CNRM-ESM2-1_CMIP6	[-]	0.298	0.298	0.331	-0.0330	0.175	2.03	0.826	0.730	0.606	0.856	0.752
EC-Earth3_BARPA	[-]	0.267	0.267	0.343	-0.0759	0.194	1.81	0.821	0.760	0.731	0.919	0.802
EC-Earth3_CCAM	[-]	0.353	0.353	0.341	0.0117	0.226	1.88	0.847	0.703	0.632	0.899	0.763
EC-Earth3_CMIP6	[-]	0.215	0.215	0.351	-0.136	0.262	2.17	0.724	0.692	0.529	0.309	0.578
ERA5_BARPA	[-]	0.463	0.463	0.345	0.119	0.227	1.74	0.786	0.754	0.744	0.927	0.797
ERA5_CCAM	[-]	0.507	0.507	0.342	0.165	0.255	1.81	0.753	0.750	0.650	0.971	0.778
MPI-ESM1-2-HR_BARPA	[-]	0.321	0.321	0.343	-0.0226	0.209	2.14	0.852	0.726	0.695	0.935	0.793
MPI-ESM1-2-HR_CMIP6	[-]	0.185	0.185	0.333	-0.148	0.215	3.32	0.706	0.763	0.413	0.451	0.603
NorESM2-MM_BARPA	[-]	0.469	0.469	0.343	0.126	0.272	2.89	0.777	0.679	0.617	0.852	0.725
NorESM2-MM_CCAM	[-]	0.589	0.589	0.341	0.248	0.339	2.05	0.679	0.715	0.726	0.952	0.762
NorESM2-MM_CMIP6	[-]	0.556	0.556	0.348	0.208	0.339	2.21	0.647	0.682	0.648	0.871	0.708

	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	[-]	0.274
ACCESS-CM2_BARPA	[-]	0.371	0.365	0.273	0.382	0.0917	0.221	0.948	0.871	0.762	0.918	0.966	0.858
ACCESS-CM2_CCAM	[-]	0.362	0.362	0.272	0.363	0.0890	0.223	1.21	0.862	0.764	0.884	0.942	0.847
ACCESS-CM2_CMIP6	[-]	0.359	0.359	0.281	0.356	0.0779	0.230	0.790	0.865	0.727	0.937	0.960	0.855
ACCESS-ESM1-5_BARPA	[-]	0.310	0.310	0.273	0.309	0.0367	0.190	0.822	0.901	0.782	0.935	0.977	0.883
ACCESS-ESM1-5_CCAM	[-]	0.344	0.356	0.272	0.319	0.0840	0.217	1.25	0.857	0.775	0.879	0.923	0.852
ACCESS-ESM1-5_CMIP6	[-]	0.337	0.338	0.277	0.331	0.0615	0.248	0.992	0.868	0.705	0.907	0.952	0.832
CESM2_BARPA	[-]	0.255	0.255	0.273	0.255	-0.0185	0.195	1.23	0.906	0.769	0.887	0.899	0.847
CESM2_CCAM	[-]	0.175	0.190	0.272	0.147	-0.0828	0.239	2.10	0.872	0.729	0.726	0.738	0.766
CESM2_CMIP6	[-]	0.351	0.363	0.280	0.297	0.0826	0.259	0.797	0.847	0.711	0.938	0.950	0.850
CMCC-ESM2_BARPA	[-]	0.217	0.212	0.273	0.229	-0.0617	0.237	2.12	0.890	0.722	0.743	0.700	0.755
CMCC-ESM2_CCAM	[-]	0.402	0.401	0.272	0.403	0.129	0.268	1.69	0.820	0.738	0.820	0.949	0.821
CMCC-ESM2_CMIP6	[-]	0.372	0.369	0.280	0.386	0.0887	0.249	0.961	0.868	0.709	0.919	0.936	0.847
CNRM-ESM2-1_CCAM	[-]	0.307	0.317	0.272	0.289	0.0441	0.192	1.10	0.902	0.779	0.898	0.959	0.875
CNRM-ESM2-1_CMIP6	[-]	0.257	0.261	0.283	0.234	-0.0219	0.194	1.01	0.895	0.758	0.884	0.751	0.823
EC-Earth3_BARPA	[-]	0.166	0.173	0.273	0.151	-0.0999	0.188	0.884	0.852	0.799	0.923	0.702	0.828
EC-Earth3_CCAM	[-]	0.229	0.239	0.272	0.208	-0.0332	0.174	0.952	0.910	0.795	0.908	0.933	0.876
EC-Earth3_CMIP6	[-]	0.240	0.248	0.279	0.215	-0.0318	0.209	0.759	0.904	0.754	0.933	0.961	0.862
ERA5_BARPA	[-]	0.318	0.315	0.276	0.325	0.0394	0.205	1.39	0.917	0.758	0.841	0.936	0.847
ERA5_CCAM	[-]	0.295	0.310	0.275	0.264	0.0354	0.180	1.16	0.902	0.794	0.877	0.975	0.878
MPI-ESM1-2-HR_BARPA	[-]	0.197	0.196	0.273	0.198	-0.0774	0.191	0.898	0.871	0.786	0.918	0.588	0.800
MPI-ESM1-2-HR_CMIP6	[-]	0.130	0.132	0.281	0.126	-0.150	0.236	1.17	0.784	0.762	0.896	0.491	0.741
NorESM2-MM_BARPA	[-]	0.402	0.389	0.273	0.427	0.116	0.308	2.55	0.846	0.669	0.647	0.978	0.774
NorESM2-MM_CCAM	[-]	0.504	0.511	0.272	0.489	0.239	0.338	1.43	0.723	0.726	0.852	0.974	0.795
NorESM2-MM_CMIP6	[-]	0.584	0.599	0.280	0.514	0.319	0.441	1.19	0.632	0.644	0.885	0.705	0.730

	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	[-]	0.819
ACCESS-CM2_BARPA	[-]	0.921	0.921	0.819	0.102	0.460	2.43	0.767	0.703	0.742	0.880	0.755
ACCESS-CM2_CCAM	[-]	0.806	0.806	0.818	-0.0123	0.381	2.38	0.810	0.746	0.745	0.939	0.778
ACCESS-CM2_CMIP6	[-]	0.474	0.474	0.767	-0.293	0.456	3.80	0.666	0.699	0.459	0.484	0.612
ACCESS-ESM1-5_BARPA	[-]	0.864	0.864	0.819	0.0451	0.484	1.82	0.757	0.677	0.805	0.837	0.769
ACCESS-ESM1-5_CCAM	[-]	0.758	0.758	0.818	-0.0604	0.385	2.29	0.828	0.723	0.743	0.970	0.784
ACCESS-ESM1-5_CMIP6	[-]	0.419	0.420	0.819	-0.399	0.621	2.73	0.609	0.621	0.444	0.332	0.615
CESM2_BARPA	[-]	0.840	0.840	0.819	0.0213	0.445	1.80	0.785	0.692	0.801	0.924	0.787
CESM2_CCAM	[-]	0.601	0.601	0.818	-0.217	0.455	2.17	0.762	0.708	0.763	0.971	0.753
CESM2_CMIP6	[-]	0.453	0.453	0.741	-0.288	0.485	2.95	0.686	0.643	0.472	0.452	0.587
CMCC-ESM2_BARPA	[-]	0.767	0.767	0.819	-0.0516	0.422	1.96	0.786	0.726	0.784	0.967	0.804
CMCC-ESM2_CCAM	[-]	0.906	0.906	0.818	0.0882	0.456	1.92	0.756	0.732	0.765	0.821	0.771
CMCC-ESM2_CMIP6	[-]	0.448	0.448	0.741	-0.293	0.458	2.47	0.675	0.679	0.599	0.412	0.616
CNRM-ESM2-1_CCAM	[-]	0.677	0.677	0.818	-0.142	0.394	2.15	0.800	0.728	0.702	0.913	0.770
CNRM-ESM2-1_CMIP6	[-]	0.537	0.537	0.856	-0.319	0.521	3.08	0.623	0.681	0.468	0.656	0.612
EC-Earth3_BARPA	[-]	0.763	0.763	0.819	-0.0558	0.422	1.93	0.777	0.726	0.774	0.955	0.797
EC-Earth3_CCAM	[-]	0.797	0.797	0.818	-0.0213	0.363	1.87	0.816	0.758	0.766	0.930	0.791
EC-Earth3_CMIP6	[-]	0.396	0.396	0.770	-0.375	0.506	2.92	0.622	0.687	0.570	0.480	0.624
ERA5_BARPA	[-]	0.843	0.843	0.819	0.0241	0.389	2.01	0.788	0.759	0.751	0.964	0.806
ERA5_CCAM	[-]	0.778	0.778	0.819	-0.0414	0.384	2.04	0.755	0.787	0.756	0.731	0.782
MPI-ESM1-2-HR_BARPA	[-]	0.853	0.853	0.819	0.0341	0.455	1.91	0.753	0.704	0.796	0.804	0.769
MPI-ESM1-2-HR_CMIP6	[-]	0.330	0.330	0.878	-0.548	0.610	2.29	0.518	0.742	0.629	0.292	0.565
NorESM2-MM_BARPA	[-]	0.902	0.902	0.819	0.0832	0.439	1.95	0.774	0.718	0.794	0.958	0.787
NorESM2-MM_CCAM	[-]	0.717	0.717	0.818	-0.101	0.392	2.06	0.774	0.756	0.771	0.914	0.778
NorESM2-MM_CMIP6	[-]	0.511	0.511	0.741	-0.230	0.427	3.57	0.687	0.695	0.336	0.253	0.586

	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	[-]	0.232
ACCESS-CM2_BARPA	[-]	0.258	0.258	0.231	0.278	0.0266	0.232	1.83	0.814	0.668	0.752	0.792	0.749
ACCESS-CM2_CCAM	[-]	0.283	0.283	0.232	0.260	0.0512	0.173	1.45	0.855	0.758	0.846	0.765	0.790
ACCESS-CM2_CMIP6	[-]	0.208	0.208	0.198		0.00984	0.220	2.08	0.801	0.581	0.703	0.391	0.639
ACCESS-ESM1-5_BARPA	[-]	0.183	0.183	0.231	0.192	-0.0481	0.199	1.81	0.821	0.704	0.792	0.589	0.739
ACCESS-ESM1-5_CCAM	[-]	0.204	0.204	0.232	0.172	-0.0279	0.168	1.74	0.849	0.746	0.807	0.523	0.727
ACCESS-ESM1-5_CMIP6	[-]	0.184	0.184	0.237		-0.0532	0.260	2.68	0.747	0.564	0.524	0.449	0.573
CESM2_BARPA	[-]	0.173	0.173	0.231	0.144	-0.0583	0.186	2.08	0.828	0.721	0.745	0.851	0.779
CESM2_CCAM	[-]	0.250	0.251	0.232	0.125	0.0186	0.222	2.10	0.874	0.658	0.765	0.928	0.774
CESM2_CMIP6	[-]	0.168	0.168	0.232		-0.0644	0.195	1.76	0.763	0.679	0.796	0.305	0.658
CMCC-ESM2_BARPA	[-]	0.172	0.172	0.231	0.155	-0.0595	0.202	2.50	0.820	0.695	0.634	0.707	0.722
CMCC-ESM2_CCAM	[-]	0.366	0.366	0.232	0.330	0.134	0.232	1.98	0.785	0.724	0.763	0.842	0.757
CMCC-ESM2_CMIP6	[-]	0.178	0.178	0.232		-0.0539	0.192	1.89	0.794	0.675	0.750	0.127	0.642
CNRM-ESM2-1_CCAM	[-]	0.292	0.292	0.232	0.260	0.0601	0.183	1.87	0.843	0.746	0.783	0.792	0.776
CNRM-ESM2-1_CMIP6	[-]	0.256	0.256	0.227		0.0298	0.158	1.52	0.877	0.710	0.843	0.983	0.792
EC-Earth3_BARPA	[-]	0.196	0.196	0.231	0.132	-0.0350	0.184	1.90	0.853	0.720	0.752	0.931	0.797
EC-Earth3_CCAM	[-]	0.306	0.306	0.232	0.178	0.0744	0.219	1.71	0.844	0.676	0.808	0.938	0.792
EC-Earth3_CMIP6	[-]	0.184	0.184	0.230		-0.0459	0.241	2.19	0.812	0.608	0.671	0.838	0.691
ERA5_BARPA	[-]	0.249	0.249	0.231	0.244	0.0182	0.182	1.83	0.832	0.735	0.763	0.804	0.781
ERA5_CCAM	[-]	0.268	0.269	0.232	0.195	0.0370	0.151	1.54	0.869	0.787	0.829	0.793	0.807
MPI-ESM1-2-HR_BARPA	[-]	0.183	0.183	0.231	0.163	-0.0480	0.180	2.04	0.841	0.726	0.738	0.730	0.766
MPI-ESM1-2-HR_CMIP6	[-]	0.0851	0.0851	0.227		-0.142	0.208	1.65	0.699	0.700	0.799	0.0302	0.555
NorESM2-MM_BARPA	[-]	0.288	0.288	0.231	0.310	0.0568	0.238	1.66	0.802	0.674	0.805	0.910	0.782
NorESM2-MM_CCAM	[-]	0.325	0.325	0.232	0.374	0.0930	0.251	1.62	0.762	0.695	0.830	0.478	0.684
NorESM2-MM_CMIP6	[-]	0.247	0.247	0.232		0.0147	0.220	1.25	0.762	0.661	0.885	0.324	0.639

	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	[-]	1.75
ACCESS-CM2_BARPA	[-]	1.14	1.14	1.75	1.11	-0.602	1.12	0.294	0.787	0.720	0.978	0.944	0.842
ACCESS-CM2_CCAM	[-]	0.858	0.856	1.75	0.873	-0.894	1.50	0.321	0.715	0.647	0.977	0.536	0.710
ACCESS-CM2_CMIP6	[-]	0.779	0.779	1.67		-0.895	1.49	0.198	0.693	0.624	0.987	0.882	0.777
ACCESS-ESM1-5_BARPA	[-]	1.26	1.26	1.75	1.28	-0.487	0.950	0.441	0.817	0.756	0.972	0.946	0.860
ACCESS-ESM1-5_CCAM	[-]	1.58	1.57	1.75	1.68	-0.177	0.857	0.254	0.893	0.753	0.979	0.962	0.881
ACCESS-ESM1-5_CMIP6	[-]	1.31	1.31	1.83		-0.516	1.16	0.494	0.826	0.682	0.963	0.426	0.719
CESM2_BARPA	[-]	1.00	0.999	1.75	1.04	-0.746	1.18	0.392	0.757	0.714	0.972	0.914	0.825
CESM2_CCAM	[-]	1.29	1.29	1.75	1.26	-0.457	1.02	0.724	0.824	0.728	0.941	0.877	0.830
CESM2_CMIP6	[-]	1.31	1.31	1.70		-0.391	0.975	0.437	0.852	0.721	0.968	0.686	0.797
CMCC-ESM2_BARPA	[-]	0.937	0.929	1.75	1.03	-0.816	1.28	0.403	0.738	0.697	0.970	0.912	0.815
CMCC-ESM2_CCAM	[-]	1.25	1.23	1.75	1.41	-0.516	0.909	0.187	0.821	0.767	0.986	0.796	0.834
CMCC-ESM2_CMIP6	[-]	0.912	0.912	1.70		-0.786	1.17	0.00	0.737	0.721	1.00	0.351	0.705
CNRM-ESM2-1_CCAM	[-]	0.860	0.866	1.75	0.797	-0.884	1.46	0.325	0.721	0.662	0.974	0.842	0.784
CNRM-ESM2-1_CMIP6	[-]	0.754	0.754	1.70		-0.946	1.55	0.163	0.698	0.627	0.992	0.627	0.724
EC-Earth3_BARPA	[-]	1.37	1.35	1.75	1.63	-0.391	0.863	0.813	0.831	0.780	0.940	0.973	0.870
EC-Earth3_CCAM	[-]	1.46	1.44	1.75	1.67	-0.310	0.889	0.834	0.871	0.753	0.937	0.966	0.868
EC-Earth3_CMIP6	[-]	1.26	1.26	1.68		-0.418	0.905	0.670	0.836	0.753	0.952	0.972	0.865
ERA5_BARPA	[-]	1.34	1.34	1.75	1.40	-0.412	0.985	0.447	0.846	0.732	0.968	0.980	0.865
ERA5_CCAM	[-]	1.37	1.36	1.76	1.48	-0.398	0.747	0.383	0.854	0.801	0.974	0.907	0.875
MPI-ESM1-2-HR_BARPA	[-]	1.05	1.05	1.75	1.10	-0.699	1.10	0.203	0.770	0.741	0.985	0.972	0.853
MPI-ESM1-2-HR_CMIP6	[-]	0.529	0.529	1.70		-1.18	1.93	0.260	0.627	0.572	0.983	0.638	0.690
NorESM2-MM_BARPA	[-]	1.38	1.37	1.75	1.53	-0.371	0.847	0.410	0.848	0.769	0.969	0.966	0.875
NorESM2-MM_CCAM	[-]	1.76	1.73	1.75	2.06	-0.0230	0.632	0.462	0.892	0.820	0.965	0.930	0.893
NorESM2-MM_CMIP6	[-]	1.69	1.69	1.70		-0.0103	0.748	0.105	0.868	0.782	0.994	0.780	0.848

	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	[-]	0.584
ACCESS-CM2_BARPA	[-]	0.836	0.620	0.591	1.01	0.0298	0.403	1.14	0.838	0.722	0.897	0.952	0.826
ACCESS-CM2_CCAM	[-]	0.539	0.501	0.588	0.569	-0.0863	0.424	1.22	0.791	0.721	0.879	0.609	0.744
ACCESS-CM2_CMIP6	[-]	0.749	0.564	0.660	0.957	-0.0959	0.509	1.15	0.785	0.666	0.877	0.806	0.760
ACCESS-ESM1-5_BARPA	[-]	0.705	0.572	0.591	0.815	-0.0187	0.343	1.01	0.855	0.754	0.914	0.959	0.847
ACCESS-ESM1-5_CCAM	[-]	0.626	0.577	0.588	0.665	-0.0108	0.373	1.24	0.837	0.741	0.885	0.891	0.819
ACCESS-ESM1-5_CMIP6	[-]	0.702	0.590	0.638	0.839	-0.0477	0.477	1.18	0.811	0.673	0.880	0.926	0.793
CESM2_BARPA	[-]	0.613	0.482	0.591	0.721	-0.109	0.373	1.19	0.833	0.741	0.907	0.917	0.828
CESM2_CCAM	[-]	0.582	0.416	0.588	0.715	-0.172	0.398	1.58	0.824	0.730	0.869	0.884	0.807
CESM2_CMIP6	[-]	0.587	0.579	0.636	0.596	-0.0567	0.431	1.13	0.814	0.710	0.883	0.837	0.791
CMCC-ESM2_BARPA	[-]	0.602	0.424	0.591	0.748	-0.167	0.429	1.65	0.805	0.712	0.862	0.853	0.789
CMCC-ESM2_CCAM	[-]	0.686	0.592	0.588	0.762	0.00421	0.405	1.43	0.801	0.744	0.871	0.758	0.784
CMCC-ESM2_CMIP6	[-]	0.597	0.552	0.636	0.648	-0.0843	0.427	1.19	0.793	0.727	0.864	0.769	0.776
CNRM-ESM2-1_CCAM	[-]	0.448	0.438	0.588	0.456	-0.149	0.416	1.19	0.793	0.721	0.876	0.540	0.730
CNRM-ESM2-1_CMIP6	[-]	0.630	0.483	0.643	0.813	-0.160	0.410	1.13	0.801	0.723	0.878	0.796	0.784
EC-Earth3_BARPA	[-]	0.723	0.474	0.591	0.927	-0.117	0.357	1.02	0.824	0.761	0.910	0.951	0.841
EC-Earth3_CCAM	[-]	0.625	0.504	0.588	0.722	-0.0832	0.333	1.09	0.857	0.762	0.890	0.922	0.838
EC-Earth3_CMIP6	[-]	0.636	0.521	0.617	0.752	-0.0958	0.424	1.10	0.803	0.724	0.884	0.929	0.813
ERA5_BARPA	[-]	0.751	0.590	0.594	0.884	-0.00386	0.345	1.26	0.865	0.755	0.887	0.952	0.843
ERA5_CCAM	[-]	0.562	0.534	0.591	0.584	-0.0574	0.315	1.17	0.843	0.784	0.881	0.837	0.826
MPI-ESM1-2-HR_BARPA	[-]	0.581	0.434	0.591	0.701	-0.157	0.389	1.05	0.801	0.745	0.912	0.928	0.826
MPI-ESM1-2-HR_CMIP6	[-]	0.553	0.313	0.638	0.800	-0.326	0.570	1.18	0.691	0.681	0.896	0.789	0.748
NorESM2-MM_BARPA	[-]	0.915	0.662	0.591	1.12	0.0709	0.432	1.82	0.844	0.707	0.839	0.958	0.811
NorESM2-MM_CCAM	[-]	0.649	0.664	0.588	0.637	0.0758	0.412	1.31	0.794	0.754	0.879	0.795	0.795
NorESM2-MM_CMIP6	[-]	0.842	0.813	0.636	0.874	0.177	0.508	1.35	0.755	0.712	0.844	0.911	0.787

	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	[-]	1.65
ACCESS-CM2_BARPA	[-]	2.18	1.61	1.64	2.31	-0.0269	1.31	0.584	0.822	0.640	0.960	0.564	0.725
ACCESS-CM2_CCAM	[-]	0.941	0.909	1.64	0.948	-0.733	1.34	0.662	0.751	0.649	0.946	0.774	0.754
ACCESS-CM2_CMIP6	[-]	1.80	1.38	1.66	1.95	-0.283	1.65	0.887	0.796	0.549	0.911	0.680	0.697
ACCESS-ESM1-5_BARPA	[-]	1.64	1.49	1.64	1.68	-0.145	0.954	0.614	0.859	0.723	0.958	0.756	0.804
ACCESS-ESM1-5_CCAM	[-]	1.27	1.36	1.64	1.25	-0.282	1.03	0.718	0.880	0.689	0.939	0.976	0.835
ACCESS-ESM1-5_CMIP6	[-]	1.87	1.87	1.71	1.88	0.159	1.49	0.792	0.841	0.592	0.939	0.658	0.724
CESM2_BARPA	[-]	1.46	1.20	1.64	1.52	-0.437	0.986	0.403	0.832	0.726	0.972	0.861	0.823
CESM2_CCAM	[-]	1.50	1.34	1.64	1.54	-0.302	0.971	0.724	0.876	0.708	0.948	0.980	0.844
CESM2_CMIP6	[-]	1.22	1.40	1.63	1.15	-0.229	0.889	0.501	0.895	0.718	0.968	0.619	0.784
CMCC-ESM2_BARPA	[-]	1.42	0.982	1.64	1.52	-0.654	1.09	0.546	0.777	0.715	0.963	0.981	0.830
CMCC-ESM2_CCAM	[-]	1.20	1.14	1.64	1.22	-0.506	0.948	0.545	0.813	0.743	0.957	0.981	0.847
CMCC-ESM2_CMIP6	[-]	1.24	1.16	1.63	1.26	-0.470	0.919	0.593	0.805	0.750	0.958	0.962	0.845
CNRM-ESM2-1_CCAM	[-]	0.659	0.744	1.64	0.641	-0.898	1.44	0.563	0.704	0.647	0.960	0.754	0.742
CNRM-ESM2-1_CMIP6	[-]	1.45	1.01	1.61	1.64	-0.604	1.15	0.577	0.778	0.684	0.957	0.917	0.804
EC-Earth3_BARPA	[-]	1.95	1.58	1.64	2.03	-0.0524	0.874	0.565	0.856	0.751	0.961	0.645	0.793
EC-Earth3_CCAM	[-]	1.39	1.54	1.64	1.36	-0.105	0.922	0.670	0.883	0.724	0.942	0.893	0.833
EC-Earth3_CMIP6	[-]	1.77	1.79	1.66	1.77	0.132	1.24	0.681	0.822	0.660	0.946	0.576	0.733
ERA5_BARPA	[-]	1.74	1.55	1.65	1.78	-0.100	0.885	0.605	0.855	0.746	0.960	0.703	0.802
ERA5_CCAM	[-]	1.09	1.34	1.66	1.04	-0.311	0.723	0.594	0.870	0.791	0.956	0.975	0.877
MPI-ESM1-2-HR_BARPA	[-]	1.57	1.45	1.64	1.60	-0.183	1.18	0.407	0.809	0.681	0.974	0.557	0.740
MPI-ESM1-2-HR_CMIP6	[-]	1.73	1.18	1.66	1.91	-0.483	1.62	0.554	0.749	0.587	0.964	0.399	0.657
NorESM2-MM_BARPA	[-]	2.25	1.60	1.64	2.39	-0.0375	0.913	0.556	0.864	0.731	0.955	0.675	0.791
NorESM2-MM_CCAM	[-]	1.15	1.37	1.64	1.10	-0.268	0.818	0.710	0.868	0.759	0.935	0.926	0.849
NorESM2-MM_CMIP6	[-]	1.74	1.81	1.63	1.72	0.175	0.710	0.500	0.897	0.777	0.959	0.835	0.849

	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	[-]	0.587
ACCESS-CM2_BARPA	[-]	0.762	0.762	0.587	0.175	0.317	1.03	0.809	0.758	0.897	0.901	0.825
ACCESS-CM2_CCAM	[-]	0.780	0.780	0.587	0.194	0.332	0.865	0.803	0.746	0.907	0.886	0.817
ACCESS-CM2_CMIP6	[-]	0.806	0.806	0.575	0.230	0.350	0.681	0.738	0.704	0.950	0.968	0.813
ACCESS-ESM1-5_BARPA	[-]	0.749	0.749	0.587	0.162	0.321	0.993	0.815	0.750	0.902	0.958	0.835
ACCESS-ESM1-5_CCAM	[-]	0.916	0.916	0.587	0.329	0.464	0.875	0.691	0.694	0.907	0.875	0.772
ACCESS-ESM1-5_CMIP6	[-]	0.802	0.802	0.589	0.212	0.438	0.704	0.770	0.611	0.955	0.784	0.746
CESM2_BARPA	[-]	0.656	0.656	0.587	0.0694	0.270	0.885	0.887	0.759	0.902	0.990	0.859
CESM2_CCAM	[-]	0.430	0.430	0.587	-0.156	0.283	1.30	0.833	0.772	0.857	0.964	0.840
CESM2_CMIP6	[-]	0.865	0.865	0.586	0.279	0.429	1.10	0.697	0.664	0.876	0.975	0.775
CMCC-ESM2_BARPA	[-]	0.570	0.570	0.587	-0.0167	0.278	1.07	0.912	0.744	0.879	0.986	0.853
CMCC-ESM2_CCAM	[-]	0.843	0.843	0.587	0.257	0.432	0.918	0.752	0.680	0.902	0.855	0.774
CMCC-ESM2_CMIP6	[-]	0.603	0.603	0.586	0.0168	0.251	0.837	0.937	0.729	0.923	0.947	0.853
CNRM-ESM2-1_CCAM	[-]	0.611	0.611	0.587	0.0239	0.241	0.976	0.922	0.773	0.907	0.969	0.869
CNRM-ESM2-1_CMIP6	[-]	0.629	0.629	0.586	0.0424	0.277	1.83	0.858	0.736	0.783	0.643	0.751
EC-Earth3_BARPA	[-]	0.374	0.374	0.587	-0.213	0.291	1.03	0.779	0.806	0.898	0.859	0.830
EC-Earth3_CCAM	[-]	0.513	0.513	0.587	-0.0733	0.280	1.02	0.891	0.749	0.890	0.971	0.850
EC-Earth3_CMIP6	[-]	0.349	0.349	0.584	-0.235	0.295	1.08	0.740	0.816	0.899	0.761	0.807
ERA5_BARPA	[-]	0.662	0.662	0.588	0.0737	0.291	1.16	0.885	0.743	0.864	0.990	0.845
ERA5_CCAM	[-]	0.762	0.762	0.588	0.175	0.299	1.28	0.821	0.770	0.843	0.960	0.833
MPI-ESM1-2-HR_BARPA	[-]	0.364	0.364	0.587	-0.223	0.313	1.36	0.770	0.784	0.827	0.772	0.788
MPI-ESM1-2-HR_CMIP6	[-]	0.255	0.255	0.593	-0.339	0.390	1.52	0.645	0.784	0.822	0.568	0.721
NorESM2-MM_BARPA	[-]	0.827	0.827	0.587	0.240	0.475	1.91	0.756	0.636	0.738	0.855	0.724
NorESM2-MM_CCAM	[-]	0.879	0.879	0.587	0.293	0.397	1.19	0.723	0.750	0.871	0.973	0.814
NorESM2-MM_CMIP6	[-]	1.07	1.07	0.586	0.482	0.573	1.23	0.543	0.676	0.864	0.988	0.750

	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	[-]	0.789
ACCESS-CM2_BARPA	[-]	0.867	0.867	0.785	0.0814	0.327	0.796	0.859	0.796	0.921	0.984	0.872
ACCESS-CM2_CCAM	[-]	0.665	0.665	0.786	-0.121	0.311	0.829	0.862	0.806	0.918	0.878	0.854
ACCESS-CM2_CMIP6	[-]	0.634	0.634	0.880	-0.246	0.453	0.712	0.774	0.724	0.935	0.552	0.742
ACCESS-ESM1-5_BARPA	[-]	0.865	0.865	0.785	0.0795	0.329	0.779	0.865	0.791	0.916	0.985	0.870
ACCESS-ESM1-5_CCAM	[-]	0.944	0.944	0.786	0.159	0.350	0.746	0.847	0.796	0.942	0.966	0.869
ACCESS-ESM1-5_CMIP6	[-]	0.713	0.713	0.753	-0.0404	0.414	0.784	0.893	0.674	0.950	0.885	0.815
CESM2_BARPA	[-]	0.767	0.767	0.785	-0.0178	0.329	0.890	0.885	0.778	0.927	0.987	0.871
CESM2_CCAM	[-]	0.667	0.667	0.786	-0.118	0.348	1.24	0.898	0.758	0.859	0.994	0.854
CESM2_CMIP6	[-]	0.825	0.825	0.767	0.0579	0.333	1.46	0.930	0.733	0.820	0.994	0.842
CMCC-ESM2_BARPA	[-]	0.597	0.597	0.785	-0.188	0.379	0.901	0.837	0.770	0.907	0.981	0.853
CMCC-ESM2_CCAM	[-]	0.683	0.683	0.786	-0.103	0.292	0.857	0.876	0.818	0.912	0.938	0.872
CMCC-ESM2_CMIP6	[-]	0.587	0.587	0.767	-0.181	0.315	0.775	0.835	0.792	0.921	0.917	0.852
CNRM-ESM2-1_CCAM	[-]	0.680	0.680	0.786	-0.105	0.312	0.881	0.891	0.787	0.919	0.874	0.852
CNRM-ESM2-1_CMIP6	[-]	0.851	0.851	0.789	0.0621	0.327	1.19	0.895	0.753	0.899	0.964	0.853
EC-Earth3_BARPA	[-]	0.531	0.531	0.785	-0.255	0.362	0.915	0.799	0.811	0.927	0.970	0.864
EC-Earth3_CCAM	[-]	0.595	0.595	0.786	-0.191	0.317	0.828	0.844	0.814	0.908	0.951	0.866
EC-Earth3_CMIP6	[-]	0.517	0.517	0.770	-0.252	0.333	0.981	0.786	0.824	0.905	0.937	0.855
ERA5_BARPA	[-]	0.798	0.798	0.789	0.00886	0.328	1.07	0.894	0.775	0.871	0.979	0.859
ERA5_CCAM	[-]	0.796	0.796	0.789	0.00643	0.256	0.865	0.919	0.820	0.908	0.951	0.884
MPI-ESM1-2-HR_BARPA	[-]	0.435	0.435	0.785	-0.351	0.446	0.911	0.734	0.791	0.904	0.815	0.807
MPI-ESM1-2-HR_CMIP6	[-]	0.165	0.165	0.793	-0.627	0.724	0.787	0.545	0.706	0.932	0.312	0.640
NorESM2-MM_BARPA	[-]	0.896	0.896	0.785	0.111	0.435	1.08	0.868	0.713	0.902	0.981	0.835
NorESM2-MM_CCAM	[-]	0.873	0.873	0.786	0.0875	0.370	0.867	0.863	0.762	0.934	0.479	0.760
NorESM2-MM_CMIP6	[-]	1.12	1.12	0.767	0.355	0.514	0.893	0.717	0.706	0.929	0.695	0.751

	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	[-]	1.01
ACCESS-CM2_BARPA	[-]	1.09	1.09	1.01	0.0761	0.543	0.722	0.830	0.701	0.938	0.962	0.826
ACCESS-CM2_CCAM	[-]	0.974	0.974	1.01	-0.0372	0.472	1.15	0.835	0.739	0.878	0.704	0.779
ACCESS-CM2_CMIP6	[-]	0.810	0.810	1.11	-0.298	0.514	1.26	0.778	0.700	0.874	0.429	0.696
ACCESS-ESM1-5_BARPA	[-]	1.09	1.09	1.01	0.0781	0.540	0.935	0.834	0.707	0.910	0.945	0.820
ACCESS-ESM1-5_CCAM	[-]	1.23	1.23	1.01	0.213	0.502	1.37	0.829	0.741	0.845	0.962	0.824
ACCESS-ESM1-5_CMIP6	[-]	0.913	0.913	0.944	-0.0309	0.580	0.993	0.823	0.574	0.902	0.583	0.691
CESM2_BARPA	[-]	1.09	1.09	1.01	0.0713	0.575	1.18	0.841	0.679	0.875	0.930	0.801
CESM2_CCAM	[-]	0.848	0.848	1.01	-0.164	0.379	1.06	0.846	0.796	0.903	0.974	0.863
CESM2_CMIP6	[-]	1.09	1.09	0.991	0.104	0.425	1.44	0.866	0.711	0.861	0.722	0.774
CMCC-ESM2_BARPA	[-]	1.00	1.00	1.01	-0.0113	0.614	1.58	0.833	0.658	0.805	0.915	0.774
CMCC-ESM2_CCAM	[-]	1.23	1.23	1.01	0.217	0.535	1.35	0.821	0.723	0.854	0.901	0.804
CMCC-ESM2_CMIP6	[-]	0.840	0.840	0.991	-0.151	0.397	1.20	0.865	0.724	0.863	0.623	0.760
CNRM-ESM2-1_CCAM	[-]	0.960	0.960	1.01	-0.0515	0.452	1.19	0.849	0.746	0.870	0.879	0.818
CNRM-ESM2-1_CMIP6	[-]	1.11	1.11	1.03	0.0775	0.364	0.784	0.909	0.750	0.948	0.989	0.869
EC-Earth3_BARPA	[-]	0.881	0.881	1.01	-0.134	0.495	0.696	0.798	0.750	0.941	0.889	0.825
EC-Earth3_CCAM	[-]	0.991	0.991	1.01	-0.0210	0.423	1.51	0.880	0.751	0.804	0.922	0.821
EC-Earth3_CMIP6	[-]	0.586	0.586	1.03	-0.442	0.537	0.803	0.689	0.780	0.943	0.827	0.804
ERA5_BARPA	[-]	1.03	1.03	1.02	0.00765	0.488	1.40	0.838	0.731	0.824	0.974	0.820
ERA5_CCAM	[-]	1.14	1.14	1.01	0.121	0.378	1.03	0.861	0.800	0.872	0.896	0.846
MPI-ESM1-2-HR_BARPA	[-]	0.689	0.689	1.01	-0.326	0.474	0.421	0.761	0.791	0.956	0.941	0.848
MPI-ESM1-2-HR_CMIP6	[-]	0.391	0.391	1.03	-0.638	0.726	0.586	0.578	0.745	0.909	0.756	0.747
NorESM2-MM_BARPA	[-]	1.17	1.17	1.01	0.150	0.596	1.34	0.832	0.676	0.834	0.932	0.790
NorESM2-MM_CCAM	[-]	0.899	0.899	1.01	-0.113	0.438	1.05	0.816	0.774	0.888	0.708	0.792
NorESM2-MM_CMIP6	[-]	1.05	1.05	0.991	0.0635	0.424	1.79	0.846	0.714	0.776	0.857	0.782

	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	[-]	0.790
ACCESS-CM2_BARPA	[-]	0.627	0.625	0.791	0.949	-0.166	0.535	0.719	0.882	0.732	0.954	0.796	0.819
ACCESS-CM2_CCAM	[-]	0.498	0.497	0.788	0.601	-0.291	0.570	0.607	0.826	0.734	0.955	0.462	0.742
ACCESS-CM2_CMIP6	[-]	0.579	0.579	0.864		-0.286	0.662	0.569	0.819	0.682	0.970	0.203	0.671
ACCESS-ESM1-5_BARPA	[-]	0.705	0.703	0.791	1.10	-0.0880	0.346	0.347	0.906	0.823	0.975	0.961	0.898
ACCESS-ESM1-5_CCAM	[-]	0.847	0.845	0.788	1.18	0.0564	0.406	0.612	0.927	0.785	0.960	0.966	0.885
ACCESS-ESM1-5_CMIP6	[-]	0.739	0.739	0.828		-0.0883	0.423	0.542	0.924	0.764	0.966	0.875	0.858
CESM2_BARPA	[-]	0.491	0.489	0.791	0.835	-0.302	0.528	0.601	0.822	0.760	0.960	0.767	0.814
CESM2_CCAM	[-]	0.491	0.489	0.788	0.813	-0.299	0.576	0.753	0.825	0.734	0.947	0.921	0.832
CESM2_CMIP6	[-]	0.877	0.877	0.788		0.0894	0.530	0.681	0.920	0.713	0.956	0.977	0.856
CMCC-ESM2_BARPA	[-]	0.402	0.400	0.791	0.777	-0.390	0.661	0.574	0.777	0.711	0.957	0.791	0.789
CMCC-ESM2_CCAM	[-]	0.583	0.581	0.788	0.894	-0.207	0.437	0.645	0.869	0.790	0.961	0.896	0.861
CMCC-ESM2_CMIP6	[-]	0.826	0.826	0.788		0.0384	0.468	0.656	0.936	0.740	0.962	0.992	0.874
CNRM-ESM2-1_CCAM	[-]	0.523	0.522	0.788	0.626	-0.266	0.547	0.420	0.840	0.739	0.971	0.564	0.770
CNRM-ESM2-1_CMIP6	[-]	0.552	0.552	0.829		-0.277	0.596	0.466	0.812	0.723	0.976	0.949	0.836
EC-Earth3_BARPA	[-]	0.511	0.508	0.791	1.04	-0.282	0.474	0.441	0.834	0.788	0.969	0.979	0.872
EC-Earth3_CCAM	[-]	0.584	0.581	0.788	1.05	-0.207	0.410	0.370	0.872	0.804	0.973	0.982	0.887
EC-Earth3_CMIP6	[-]	0.612	0.612	0.786		-0.174	0.419	0.519	0.876	0.787	0.966	0.963	0.876
ERA5_BARPA	[-]	0.710	0.707	0.796	1.15	-0.0892	0.501	0.887	0.911	0.743	0.932	0.948	0.855
ERA5_CCAM	[-]	0.659	0.657	0.794	0.941	-0.136	0.382	0.424	0.901	0.807	0.972	0.885	0.874
MPI-ESM1-2-HR_BARPA	[-]	0.414	0.412	0.791	0.812	-0.379	0.590	0.549	0.781	0.752	0.966	0.835	0.817
MPI-ESM1-2-HR_CMIP6	[-]	0.192	0.192	0.814		-0.622	0.956	0.502	0.654	0.627	0.968	0.841	0.743
NorESM2-MM_BARPA	[-]	0.703	0.700	0.791	1.16	-0.0904	0.463	0.593	0.921	0.759	0.948	0.965	0.870
NorESM2-MM_CCAM	[-]	0.985	0.981	0.788	1.56	0.193	0.377	0.447	0.881	0.822	0.971	0.980	0.895
NorESM2-MM_CMIP6	[-]	1.35	1.35	0.788		0.561	0.855	0.654	0.696	0.657	0.962	0.988	0.792

	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	[-]	1.05
ACCESS-CM2_BARPA	[-]	0.908	0.906	1.04	0.925	-0.137	0.552	0.482	0.897	0.764	0.966	0.959	0.870
ACCESS-CM2_CCAM	[-]	0.728	0.719	1.04	0.794	-0.321	0.688	0.505	0.836	0.726	0.962	0.679	0.786
ACCESS-CM2_CMIP6	[-]	0.759	0.759	1.08		-0.320	0.753	0.544	0.836	0.686	0.946	0.820	0.795
ACCESS-ESM1-5_BARPA	[-]	0.862	0.860	1.04	0.879	-0.183	0.525	0.629	0.887	0.781	0.958	0.970	0.876
ACCESS-ESM1-5_CCAM	[-]	0.868	0.848	1.04	1.02	-0.192	0.591	0.499	0.894	0.744	0.964	0.957	0.861
ACCESS-ESM1-5_CMIP6	[-]	0.819	0.819	1.04		-0.225	0.616	0.329	0.881	0.722	0.975	0.988	0.857
CESM2_BARPA	[-]	0.624	0.622	1.04	0.640	-0.420	0.751	0.484	0.798	0.719	0.968	0.896	0.820
CESM2_CCAM	[-]	0.718	0.689	1.04	0.935	-0.350	0.742	0.494	0.831	0.710	0.959	0.976	0.837
CESM2_CMIP6	[-]	1.01	1.01	1.07		-0.0579	0.585	0.369	0.932	0.733	0.973	0.990	0.872
CMCC-ESM2_BARPA	[-]	0.564	0.562	1.04	0.585	-0.481	0.871	0.472	0.772	0.682	0.969	0.879	0.797
CMCC-ESM2_CCAM	[-]	0.854	0.830	1.04	1.04	-0.209	0.568	0.525	0.865	0.770	0.964	0.950	0.864
CMCC-ESM2_CMIP6	[-]	1.15	1.15	1.07		0.0777	0.543	0.598	0.887	0.778	0.953	0.978	0.875
CNRM-ESM2-1_CCAM	[-]	0.637	0.625	1.04	0.732	-0.415	0.804	0.628	0.796	0.694	0.956	0.613	0.750
CNRM-ESM2-1_CMIP6	[-]	0.523	0.523	1.05		-0.528	0.838	0.269	0.742	0.695	0.979	0.908	0.804
EC-Earth3_BARPA	[-]	0.741	0.732	1.04	0.825	-0.311	0.588	0.552	0.842	0.776	0.964	0.979	0.867
EC-Earth3_CCAM	[-]	0.996	0.962	1.04	1.25	-0.0778	0.514	0.585	0.909	0.779	0.963	0.926	0.871
EC-Earth3_CMIP6	[-]	1.12	1.11	1.06	1.80	0.0479	0.623	0.654	0.895	0.733	0.950	0.928	0.848
ERA5_BARPA	[-]	0.842	0.842	1.05	0.846	-0.212	0.595	0.706	0.881	0.752	0.944	0.961	0.858
ERA5_CCAM	[-]	0.867	0.846	1.05	1.03	-0.205	0.483	0.571	0.888	0.798	0.960	0.992	0.887
MPI-ESM1-2-HR_BARPA	[-]	0.661	0.651	1.04	0.744	-0.391	0.664	0.550	0.809	0.754	0.967	0.932	0.843
MPI-ESM1-2-HR_CMIP6	[-]	0.352	0.348	1.05	0.596	-0.706	1.10	0.435	0.668	0.632	0.970	0.680	0.716
NorESM2-MM_BARPA	[-]	0.890	0.887	1.04	0.908	-0.155	0.729	0.496	0.896	0.693	0.964	0.962	0.842
NorESM2-MM_CCAM	[-]	0.979	0.958	1.04	1.14	-0.0822	0.467	0.597	0.920	0.792	0.959	0.989	0.890
NorESM2-MM_CMIP6	[-]	1.30	1.30	1.07		0.234	0.537	0.614	0.878	0.775	0.958	0.993	0.876

	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	[-]	0.342
ACCESS-CM2_BARPA	[-]	0.479	0.479	0.343	0.136	0.269	2.45	0.770	0.698	0.680	0.854	0.740
ACCESS-CM2_CCAM	[-]	0.543	0.543	0.341	0.202	0.300	2.34	0.718	0.713	0.683	0.953	0.756
ACCESS-CM2_CMIP6	[-]	0.520	0.520	0.351	0.169	0.351	3.06	0.646	0.613	0.519	0.877	0.654
ACCESS-ESM1-5_BARPA	[-]	0.426	0.426	0.343	0.0824	0.229	1.89	0.823	0.711	0.752	0.916	0.783
ACCESS-ESM1-5_CCAM	[-]	0.481	0.481	0.341	0.140	0.274	2.29	0.771	0.696	0.633	0.968	0.753
ACCESS-ESM1-5_CMIP6	[-]	0.455	0.455	0.356	0.0994	0.377	1.78	0.661	0.527	0.660	0.724	0.620
CESM2_BARPA	[-]	0.406	0.406	0.343	0.0627	0.216	1.57	0.844	0.722	0.769	0.905	0.792
CESM2_CCAM	[-]	0.243	0.243	0.341	-0.0986	0.198	1.90	0.802	0.767	0.718	0.892	0.789
CESM2_CMIP6	[-]	0.476	0.476	0.348	0.128	0.331	1.88	0.710	0.594	0.601	0.884	0.677
CMCC-ESM2_BARPA	[-]	0.368	0.368	0.343	0.0249	0.214	2.52	0.865	0.719	0.669	0.942	0.783
CMCC-ESM2_CCAM	[-]	0.592	0.592	0.341	0.251	0.353	2.08	0.669	0.674	0.670	0.918	0.721
CMCC-ESM2_CMIP6	[-]	0.398	0.398	0.348	0.0501	0.250	1.70	0.741	0.674	0.650	0.675	0.683
CNRM-ESM2-1_CCAM	[-]	0.333	0.333	0.341	-0.00829	0.194	1.82	0.864	0.744	0.696	0.938	0.797
CNRM-ESM2-1_CMIP6	[-]	0.298	0.298	0.331	-0.0330	0.175	2.03	0.826	0.730	0.606	0.856	0.750
EC-Earth3_BARPA	[-]	0.267	0.267	0.343	-0.0759	0.194	1.81	0.821	0.760	0.731	0.919	0.798
EC-Earth3_CCAM	[-]	0.353	0.353	0.341	0.0117	0.226	1.88	0.847	0.703	0.632	0.899	0.757
EC-Earth3_CMIP6	[-]	0.215	0.215	0.351	-0.136	0.262	2.17	0.724	0.692	0.529	0.309	0.589
ERA5_BARPA	[-]	0.463	0.463	0.345	0.119	0.227	1.74	0.786	0.754	0.744	0.927	0.793
ERA5_CCAM	[-]	0.507	0.507	0.342	0.165	0.255	1.81	0.753	0.750	0.650	0.971	0.775
MPI-ESM1-2-HR_BARPA	[-]	0.321	0.321	0.343	-0.0226	0.209	2.14	0.852	0.726	0.695	0.935	0.787
MPI-ESM1-2-HR_CMIP6	[-]	0.185	0.185	0.333	-0.148	0.215	3.32	0.706	0.763	0.413	0.451	0.619
NorESM2-MM_BARPA	[-]	0.469	0.469	0.343	0.126	0.272	2.89	0.777	0.679	0.617	0.852	0.721
NorESM2-MM_CCAM	[-]	0.589	0.589	0.341	0.248	0.339	2.05	0.679	0.715	0.726	0.952	0.757
NorESM2-MM_CMIP6	[-]	0.556	0.556	0.348	0.208	0.339	2.21	0.647	0.682	0.648	0.871	0.706

	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	[-]	0.336
ACCESS-CM2_BARPA	[-]	0.425	0.426	0.334	0.423	0.0922	0.237	0.712	0.880	0.775	0.940	0.946	0.863
ACCESS-CM2_CCAM	[-]	0.414	0.421	0.333	0.403	0.0873	0.245	0.975	0.867	0.774	0.909	0.884	0.842
ACCESS-CM2_CMIP6	[-]	0.409	0.410	0.340	0.399	0.0708	0.246	0.666	0.879	0.743	0.945	0.948	0.852
ACCESS-ESM1-5_BARPA	[-]	0.374	0.384	0.334	0.354	0.0496	0.218	0.774	0.896	0.787	0.940	0.982	0.878
ACCESS-ESM1-5_CCAM	[-]	0.426	0.454	0.333	0.375	0.121	0.245	0.816	0.846	0.787	0.930	0.975	0.865
ACCESS-ESM1-5_CMIP6	[-]	0.400	0.405	0.342	0.358	0.0636	0.270	0.706	0.871	0.725	0.939	0.889	0.830
CESM2_BARPA	[-]	0.299	0.309	0.334	0.281	-0.0257	0.232	1.14	0.904	0.765	0.896	0.849	0.836
CESM2_CCAM	[-]	0.197	0.217	0.333	0.160	-0.117	0.272	1.36	0.857	0.739	0.837	0.737	0.782
CESM2_CMIP6	[-]	0.422	0.440	0.340	0.329	0.0997	0.311	0.751	0.847	0.703	0.943	0.971	0.833
CMCC-ESM2_BARPA	[-]	0.245	0.243	0.334	0.250	-0.0914	0.278	1.79	0.881	0.723	0.797	0.731	0.771
CMCC-ESM2_CCAM	[-]	0.433	0.445	0.333	0.410	0.112	0.292	1.50	0.842	0.741	0.843	0.967	0.827
CMCC-ESM2_CMIP6	[-]	0.449	0.445	0.340	0.471	0.105	0.301	0.843	0.869	0.701	0.936	0.937	0.829
CNRM-ESM2-1_CCAM	[-]	0.348	0.362	0.333	0.321	0.0287	0.218	1.03	0.911	0.780	0.905	0.965	0.868
CNRM-ESM2-1_CMIP6	[-]	0.293	0.302	0.344	0.242	-0.0413	0.230	0.945	0.888	0.757	0.891	0.612	0.781
EC-Earth3_BARPA	[-]	0.191	0.200	0.334	0.173	-0.134	0.231	0.838	0.839	0.794	0.929	0.762	0.823
EC-Earth3_CCAM	[-]	0.270	0.287	0.333	0.240	-0.0461	0.201	0.921	0.910	0.797	0.912	0.945	0.872
EC-Earth3_CMIP6	[-]	0.293	0.303	0.340	0.259	-0.0369	0.242	0.685	0.907	0.758	0.940	0.967	0.866
ERA5_BARPA	[-]	0.359	0.363	0.338	0.352	0.0257	0.240	1.46	0.928	0.751	0.838	0.956	0.845
ERA5_CCAM	[-]	0.347	0.372	0.337	0.300	0.0354	0.207	1.18	0.906	0.795	0.880	0.975	0.870
MPI-ESM1-2-HR_BARPA	[-]	0.217	0.217	0.334	0.217	-0.117	0.227	0.852	0.854	0.790	0.927	0.672	0.807
MPI-ESM1-2-HR_CMIP6	[-]	0.148	0.149	0.342	0.148	-0.193	0.288	0.901	0.767	0.762	0.931	0.582	0.761
NorESM2-MM_BARPA	[-]	0.452	0.446	0.334	0.466	0.111	0.359	2.71	0.865	0.659	0.631	0.976	0.758
NorESM2-MM_CCAM	[-]	0.561	0.585	0.333	0.516	0.252	0.359	0.978	0.743	0.746	0.911	0.955	0.820
NorESM2-MM_CMIP6	[-]	0.715	0.739	0.340	0.593	0.399	0.538	0.641	0.613	0.640	0.950	0.829	0.734

	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	[-]	0.181
ACCESS-CM2_BARPA	[-]	0.280	0.271	0.180	0.303	0.0909	0.196	1.31	0.844	0.723	0.856	0.910	0.812
ACCESS-CM2_CCAM	[-]	0.276	0.272	0.180	0.286	0.0917	0.190	1.58	0.847	0.737	0.814	0.966	0.820
ACCESS-CM2_CMIP6	[-]	0.277	0.270	0.179	0.308	0.0905	0.202	1.01	0.820	0.675	0.911	0.978	0.812
ACCESS-ESM1-5_BARPA	[-]	0.204	0.197	0.180	0.222	0.0170	0.147	0.897	0.916	0.769	0.921	0.886	0.852
ACCESS-ESM1-5_CCAM	[-]	0.209	0.208	0.180	0.210	0.0282	0.173	1.90	0.889	0.740	0.735	0.960	0.812
ACCESS-ESM1-5_CMIP6	[-]	0.240	0.231	0.173	0.296	0.0581	0.214	1.45	0.859	0.640	0.806	0.944	0.778
CESM2_BARPA	[-]	0.183	0.172	0.180	0.207	-0.00745	0.139	1.36	0.912	0.779	0.862	0.813	0.829
CESM2_CCAM	[-]	0.141	0.148	0.180	0.122	-0.0314	0.189	3.23	0.914	0.698	0.414	0.962	0.738
CESM2_CMIP6	[-]	0.239	0.235	0.181	0.256	0.0542	0.172	0.873	0.849	0.738	0.924	0.919	0.834
CMCC-ESM2_BARPA	[-]	0.171	0.164	0.180	0.189	-0.0161	0.174	2.62	0.916	0.719	0.591	0.681	0.725
CMCC-ESM2_CCAM	[-]	0.351	0.335	0.180	0.389	0.155	0.231	1.99	0.757	0.731	0.755	0.973	0.789
CMCC-ESM2_CMIP6	[-]	0.249	0.243	0.181	0.273	0.0622	0.163	1.16	0.864	0.733	0.866	0.963	0.832
CNRM-ESM2-1_CCAM	[-]	0.241	0.247	0.180	0.226	0.0675	0.152	1.22	0.877	0.779	0.877	0.970	0.856
CNRM-ESM2-1_CMIP6	[-]	0.195	0.191	0.179	0.219	0.0118	0.130	1.11	0.917	0.762	0.861	0.968	0.854
EC-Earth3_BARPA	[-]	0.125	0.132	0.180	0.109	-0.0475	0.122	0.955	0.890	0.813	0.907	0.755	0.836
EC-Earth3_CCAM	[-]	0.160	0.166	0.180	0.146	-0.0135	0.132	0.999	0.911	0.790	0.897	0.889	0.855
EC-Earth3_CMIP6	[-]	0.153	0.157	0.180	0.140	-0.0235	0.157	0.879	0.896	0.741	0.911	0.780	0.814
ERA5_BARPA	[-]	0.251	0.241	0.181	0.273	0.0605	0.152	1.29	0.886	0.778	0.851	0.814	0.821
ERA5_CCAM	[-]	0.210	0.216	0.181	0.194	0.0355	0.140	1.12	0.892	0.794	0.868	0.956	0.861
MPI-ESM1-2-HR_BARPA	[-]	0.163	0.163	0.180	0.162	-0.0166	0.137	0.969	0.919	0.776	0.894	0.617	0.796
MPI-ESM1-2-HR_CMIP6	[-]	0.101	0.103	0.179	0.0956	-0.0762	0.148	1.64	0.839	0.764	0.781	0.505	0.731
NorESM2-MM_BARPA	[-]	0.318	0.303	0.180	0.354	0.123	0.229	2.29	0.794	0.695	0.693	0.941	0.764
NorESM2-MM_CCAM	[-]	0.410	0.399	0.180	0.437	0.219	0.307	2.11	0.668	0.670	0.684	0.958	0.730
NorESM2-MM_CMIP6	[-]	0.376	0.368	0.181	0.411	0.187	0.280	2.10	0.691	0.657	0.680	0.924	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	[-]	0.616
ACCESS-CM2_BARPA	[-]	0.723	0.723	0.620	0.103	0.428	2.11	0.742	0.686	0.741	0.732	0.717
ACCESS-CM2_CCAM	[-]	0.638	0.638	0.615	0.0232	0.322	1.97	0.789	0.758	0.741	0.942	0.798
ACCESS-CM2_CMIP6	[-]	0.287	0.287	0.740	-0.453	0.521	5.10	0.506	0.682	0.0631	0.835	0.554
ACCESS-ESM1-5_BARPA	[-]	0.665	0.665	0.620	0.0454	0.438	1.51	0.717	0.688	0.820	0.729	0.728
ACCESS-ESM1-5_CCAM	[-]	0.537	0.537	0.615	-0.0781	0.308	1.85	0.801	0.758	0.762	0.960	0.808
ACCESS-ESM1-5_CMIP6	[-]	0.302	0.302	0.609	-0.307	0.347	0.00	0.621	0.780	1.00	1.00	0.836
CESM2_BARPA	[-]	0.670	0.670	0.620	0.0503	0.416	1.53	0.735	0.693	0.823	0.740	0.737
CESM2_CCAM	[-]	0.417	0.417	0.615	-0.198	0.373	1.81	0.731	0.758	0.759	0.940	0.789
CESM2_CMIP6	[-]	0.328	0.328	0.563	-0.235	0.404	3.59	0.686	0.590	0.350	0.267	0.497
CMCC-ESM2_BARPA	[-]	0.676	0.676	0.620	0.0559	0.351	1.57	0.798	0.716	0.815	0.910	0.791
CMCC-ESM2_CCAM	[-]	0.833	0.833	0.615	0.218	0.398	2.16	0.750	0.734	0.713	0.960	0.778
CMCC-ESM2_CMIP6	[-]	0.404	0.404	0.563	-0.159	0.286	1.53	0.776	0.687	0.826	0.00141	0.596
CNRM-ESM2-1_CCAM	[-]	0.530	0.530	0.615	-0.0848	0.300	1.86	0.792	0.772	0.696	0.941	0.795
CNRM-ESM2-1_CMIP6	[-]	0.332	0.332	0.530	-0.198	0.250	1.04	0.709	0.771	0.846	0.0839	0.636
EC-Earth3_BARPA	[-]	0.612	0.612	0.620	-0.00780	0.357	1.81	0.793	0.718	0.747	0.925	0.780
EC-Earth3_CCAM	[-]	0.647	0.647	0.615	0.0323	0.327	1.75	0.790	0.753	0.727	0.963	0.797
EC-Earth3_CMIP6	[-]	0.352	0.352	0.575	-0.224	0.391	4.40	0.706	0.635	0.210	0.675	0.572
ERA5_BARPA	[-]	0.746	0.746	0.621	0.125	0.347	1.70	0.783	0.741	0.800	0.863	0.786
ERA5_CCAM	[-]	0.645	0.645	0.616	0.0289	0.299	1.68	0.800	0.785	0.767	0.963	0.820
MPI-ESM1-2-HR_BARPA	[-]	0.642	0.642	0.620	0.0221	0.410	1.73	0.762	0.683	0.796	0.817	0.748
MPI-ESM1-2-HR_CMIP6	[-]	0.210	0.210	0.604	-0.395	0.456	3.07	0.551	0.715	0.336	0.0726	0.478
NorESM2-MM_BARPA	[-]	0.853	0.853	0.620	0.233	0.437	2.11	0.731	0.694	0.739	0.743	0.720
NorESM2-MM_CCAM	[-]	0.601	0.601	0.615	-0.0143	0.335	2.30	0.762	0.761	0.704	0.883	0.774
NorESM2-MM_CMIP6	[-]	0.455	0.455	0.563	-0.108	0.266	4.57	0.840	0.679	0.211	0.624	0.607

	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	[-]	1.81
ACCESS-CM2_BARPA	[-]	2.11	2.11	1.79	0.318	0.943	0.732	0.695	0.698	0.951	0.777	0.764
ACCESS-CM2_CCAM	[-]	1.55	1.55	1.81	-0.258	0.630	0.803	0.802	0.767	0.945	0.975	0.851
ACCESS-CM2_CMIP6	[-]	0.697	0.697	1.89	-1.19	1.25	2.05	0.440	0.768	0.745	1.00	0.744
ACCESS-ESM1-5_BARPA	[-]	2.18	2.18	1.79	0.393	1.11	0.895	0.678	0.628	0.931	0.724	0.718
ACCESS-ESM1-5_CCAM	[-]	1.57	1.57	1.81	-0.242	0.706	0.920	0.814	0.719	0.924	0.987	0.833
ACCESS-ESM1-5_CMIP6	[-]	0.274	0.274	1.45	-1.17	1.29	6.08	0.363	0.633	0.00	0.181	0.362
CESM2_BARPA	[-]	1.91	1.91	1.79	0.121	0.931	0.880	0.725	0.666	0.930	0.836	0.764
CESM2_CCAM	[-]	1.61	1.61	1.81	-0.194	0.887	0.825	0.804	0.648	0.942	0.951	0.799
CESM2_CMIP6	[-]	0.436	0.436	1.56	-1.12	1.26	4.42	0.419	0.643	0.248	0.137	0.418
CMCC-ESM2_BARPA	[-]	1.55	1.55	1.79	-0.238	0.809	0.923	0.727	0.741	0.936	0.933	0.816
CMCC-ESM2_CCAM	[-]	1.41	1.41	1.81	-0.396	0.669	0.950	0.742	0.785	0.926	0.867	0.821
CMCC-ESM2_CMIP6	[-]	0.371	0.371	1.56	-1.18	1.31	2.35	0.399	0.644	0.529	0.0630	0.456
CNRM-ESM2-1_CCAM	[-]	1.35	1.35	1.81	-0.454	0.724	1.74	0.760	0.738	0.792	0.977	0.801
CNRM-ESM2-1_CMIP6	[-]	0.596	0.596	1.38	-0.780	0.869	2.72	0.515	0.720	0.531	0.401	0.577
EC-Earth3_BARPA	[-]	1.65	1.65	1.79	-0.134	0.823	1.26	0.733	0.722	0.881	0.891	0.790
EC-Earth3_CCAM	[-]	1.51	1.51	1.81	-0.294	0.562	0.845	0.798	0.802	0.931	0.961	0.859
EC-Earth3_CMIP6	[-]	0.665	0.665	1.71	-1.05	1.21	2.66	0.486	0.672	0.652	0.701	0.636
ERA5_BARPA	[-]	1.56	1.56	1.79	-0.230	0.699	1.12	0.736	0.790	0.891	0.963	0.834
ERA5_CCAM	[-]	1.18	1.18	1.81	-0.624	0.750	0.866	0.674	0.817	0.937	0.802	0.810
MPI-ESM1-2-HR_BARPA	[-]	2.22	2.22	1.79	0.433	1.07	0.901	0.676	0.651	0.936	0.663	0.715
MPI-ESM1-2-HR_CMIP6	[-]	0.574	0.574	1.79	-1.22	1.32	2.04	0.436	0.716	0.729	0.693	0.658
NorESM2-MM_BARPA	[-]	1.80	1.80	1.79	0.0134	0.823	0.813	0.724	0.729	0.944	0.926	0.810
NorESM2-MM_CCAM	[-]	1.40	1.40	1.81	-0.409	0.742	0.900	0.730	0.771	0.930	0.964	0.833
NorESM2-MM_CMIP6	[-]	0.497	0.497	1.56	-1.06	1.20	5.76	0.442	0.655	0.0244	0.139	0.383

	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	[-]	0.722
ACCESS-CM2_BARPA	[-]	0.772	0.772	0.712	0.0606	0.380	2.95	0.844	0.712	0.552	0.979	0.760
ACCESS-CM2_CCAM	[-]	0.738	0.738	0.723	0.0149	0.365	2.84	0.840	0.728	0.572	0.927	0.759
ACCESS-CM2_CMIP6	[-]	0.636	0.636	0.799	-0.163	0.370	3.32	0.834	0.705	0.579	0.753	0.715
ACCESS-ESM1-5_BARPA	[-]	0.633	0.633	0.712	-0.0790	0.374	2.41	0.850	0.708	0.649	0.978	0.779
ACCESS-ESM1-5_CCAM	[-]	0.704	0.704	0.723	-0.0197	0.365	2.76	0.851	0.720	0.566	0.936	0.759
ACCESS-ESM1-5_CMIP6	[-]	0.592	0.592	0.808	-0.216	0.487	2.31	0.783	0.610	0.697	0.644	0.669
CESM2_BARPA	[-]	0.727	0.727	0.712	0.0147	0.386	2.31	0.865	0.696	0.642	0.985	0.777
CESM2_CCAM	[-]	0.414	0.414	0.723	-0.310	0.424	2.58	0.710	0.760	0.597	0.795	0.724
CESM2_CMIP6	[-]	0.662	0.662	0.789	-0.127	0.435	2.17	0.866	0.627	0.695	0.861	0.735
CMCC-ESM2_BARPA	[-]	0.731	0.731	0.712	0.0187	0.407	2.43	0.851	0.694	0.602	0.961	0.761
CMCC-ESM2_CCAM	[-]	0.935	0.935	0.723	0.211	0.489	2.42	0.796	0.661	0.575	0.984	0.735
CMCC-ESM2_CMIP6	[-]	0.637	0.637	0.789	-0.152	0.378	2.68	0.842	0.692	0.612	0.718	0.711
CNRM-ESM2-1_CCAM	[-]	0.627	0.627	0.723	-0.0967	0.416	2.71	0.833	0.688	0.570	0.815	0.719
CNRM-ESM2-1_CMIP6	[-]	0.708	0.708	0.721	-0.0127	0.465	4.39	0.760	0.557	0.220	0.908	0.600
EC-Earth3_BARPA	[-]	0.703	0.703	0.712	-0.00838	0.396	2.18	0.824	0.714	0.662	0.950	0.773
EC-Earth3_CCAM	[-]	0.771	0.771	0.723	0.0474	0.369	2.45	0.856	0.715	0.574	0.979	0.768
EC-Earth3_CMIP6	[-]	0.430	0.430	0.703	-0.273	0.394	2.43	0.724	0.731	0.589	0.866	0.728
ERA5_BARPA	[-]	0.825	0.825	0.713	0.112	0.374	2.45	0.837	0.726	0.572	0.982	0.769
ERA5_CCAM	[-]	0.847	0.847	0.725	0.122	0.352	2.81	0.837	0.748	0.523	0.957	0.763
MPI-ESM1-2-HR_BARPA	[-]	0.592	0.592	0.712	-0.119	0.332	2.20	0.823	0.761	0.655	0.967	0.793
MPI-ESM1-2-HR_CMIP6	[-]	0.330	0.330	0.738	-0.408	0.468	3.02	0.597	0.775	0.469	0.316	0.587
NorESM2-MM_BARPA	[-]	0.844	0.844	0.712	0.133	0.415	2.24	0.829	0.696	0.644	0.931	0.759
NorESM2-MM_CCAM	[-]	0.618	0.618	0.723	-0.105	0.350	2.46	0.829	0.742	0.613	0.938	0.773
NorESM2-MM_CMIP6	[-]	0.638	0.638	0.789	-0.151	0.287	2.83	0.841	0.755	0.589	0.952	0.779

	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	[-]	0.372
ACCESS-CM2_BARPA	[-]	0.378	0.378	0.376	0.00185	0.238	3.14	0.848	0.717	0.492	0.902	0.735
ACCESS-CM2_CCAM	[-]	0.472	0.472	0.369	0.103	0.261	3.08	0.782	0.713	0.509	0.564	0.656
ACCESS-CM2_CMIP6	[-]	0.355	0.355	0.397	-0.0414	0.252	4.03	0.845	0.601	0.245	0.247	0.508
ACCESS-ESM1-5_BARPA	[-]	0.330	0.330	0.376	-0.0456	0.203	1.90	0.838	0.761	0.738	0.952	0.810
ACCESS-ESM1-5_CCAM	[-]	0.391	0.391	0.369	0.0219	0.230	2.87	0.839	0.716	0.558	0.557	0.677
ACCESS-ESM1-5_CMIP6	[-]	0.349	0.349	0.344	0.00548	0.323	1.54	0.944	0.479	0.822	0.721	0.689
CESM2_BARPA	[-]	0.321	0.321	0.376	-0.0551	0.192	1.97	0.837	0.771	0.721	0.966	0.813
CESM2_CCAM	[-]	0.243	0.243	0.369	-0.126	0.244	2.75	0.777	0.739	0.582	0.414	0.650
CESM2_CMIP6	[-]	0.256	0.256	0.291	-0.0350	0.140	2.82	0.899	0.733	0.505	0.895	0.753
CMCC-ESM2_BARPA	[-]	0.312	0.312	0.376	-0.0638	0.209	2.32	0.821	0.757	0.676	0.963	0.795
CMCC-ESM2_CCAM	[-]	0.563	0.563	0.369	0.194	0.298	1.84	0.711	0.731	0.743	0.702	0.724
CMCC-ESM2_CMIP6	[-]	0.280	0.280	0.291	-0.0114	0.138	2.63	0.883	0.737	0.596	0.887	0.768
CNRM-ESM2-1_CCAM	[-]	0.354	0.354	0.369	-0.0151	0.192	1.86	0.856	0.755	0.734	0.577	0.736
CNRM-ESM2-1_CMIP6	[-]	0.238	0.238	0.397	-0.159	0.210	4.02	0.716	0.747	0.259	1.00	0.694
EC-Earth3_BARPA	[-]	0.292	0.292	0.376	-0.0843	0.206	2.14	0.801	0.777	0.702	0.936	0.798
EC-Earth3_CCAM	[-]	0.419	0.419	0.369	0.0493	0.237	1.92	0.803	0.725	0.729	0.488	0.694
EC-Earth3_CMIP6	[-]	0.213	0.213	0.339	-0.126	0.236	2.87	0.769	0.682	0.559	0.393	0.617
ERA5_BARPA	[-]	0.418	0.418	0.377	0.0408	0.214	2.26	0.851	0.748	0.665	0.958	0.794
ERA5_CCAM	[-]	0.482	0.482	0.370	0.111	0.218	2.03	0.785	0.780	0.719	0.709	0.755
MPI-ESM1-2-HR_BARPA	[-]	0.327	0.327	0.376	-0.0490	0.198	2.37	0.843	0.769	0.657	0.938	0.795
MPI-ESM1-2-HR_CMIP6	[-]	0.171	0.171	0.348	-0.178	0.207	1.20	0.677	0.805	0.848	0.205	0.668
NorESM2-MM_BARPA	[-]	0.369	0.369	0.376	-0.00710	0.202	2.29	0.851	0.756	0.694	0.938	0.799
NorESM2-MM_CCAM	[-]	0.439	0.439	0.369	0.0697	0.236	2.22	0.793	0.738	0.688	0.523	0.696
NorESM2-MM_CMIP6	[-]	0.387	0.387	0.291	0.0959	0.223	2.83	0.805	0.626	0.530	0.923	0.702

	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	[-]	0.166
ACCESS-CM2_BARPA	[-]	0.236	0.236	0.162	0.0739	0.179	2.73	0.805	0.697	0.564	0.938	0.740
ACCESS-CM2_CCAM	[-]	0.273	0.273	0.166	0.107	0.174	2.57	0.776	0.736	0.609	0.868	0.745
ACCESS-CM2_CMIP6	[-]	0.209	0.209	0.128	0.0810	0.181	4.07	0.743	0.557	0.289	0.992	0.628
ACCESS-ESM1-5_BARPA	[-]	0.192	0.192	0.162	0.0295	0.157	2.66	0.853	0.705	0.607	0.926	0.759
ACCESS-ESM1-5_CCAM	[-]	0.223	0.223	0.166	0.0568	0.160	2.89	0.843	0.708	0.531	0.717	0.701
ACCESS-ESM1-5_CMIP6	[-]	0.262	0.262	0.191	0.0702	0.213	3.00	0.818	0.549	0.479	0.660	0.611
CESM2_BARPA	[-]	0.156	0.156	0.162	-0.00628	0.135	2.94	0.878	0.735	0.550	0.933	0.766
CESM2_CCAM	[-]	0.124	0.124	0.166	-0.0419	0.116	2.66	0.874	0.773	0.620	0.673	0.743
CESM2_CMIP6	[-]	0.242	0.242	0.151	0.0905	0.176	2.15	0.769	0.626	0.669	0.929	0.724
CMCC-ESM2_BARPA	[-]	0.160	0.160	0.162	-0.00248	0.150	2.87	0.849	0.724	0.533	0.867	0.740
CMCC-ESM2_CCAM	[-]	0.355	0.355	0.166	0.189	0.258	2.85	0.651	0.670	0.544	0.949	0.697
CMCC-ESM2_CMIP6	[-]	0.206	0.206	0.151	0.0542	0.121	2.29	0.856	0.720	0.647	0.805	0.750
CNRM-ESM2-1_CCAM	[-]	0.211	0.211	0.166	0.0450	0.140	2.60	0.863	0.740	0.612	0.808	0.753
CNRM-ESM2-1_CMIP6	[-]	0.130	0.130	0.127	0.00290	0.0912	3.44	0.916	0.737	0.435	0.639	0.693
EC-Earth3_BARPA	[-]	0.115	0.115	0.162	-0.0478	0.128	2.62	0.834	0.772	0.597	0.909	0.777
EC-Earth3_CCAM	[-]	0.185	0.185	0.166	0.0193	0.143	2.53	0.891	0.712	0.579	0.883	0.755
EC-Earth3_CMIP6	[-]	0.121	0.121	0.158	-0.0370	0.147	3.18	0.845	0.674	0.433	0.546	0.635
ERA5_BARPA	[-]	0.219	0.219	0.163	0.0557	0.143	2.47	0.827	0.752	0.612	0.936	0.776
ERA5_CCAM	[-]	0.263	0.263	0.166	0.0966	0.158	2.58	0.791	0.748	0.594	0.975	0.771
MPI-ESM1-2-HR_BARPA	[-]	0.174	0.174	0.162	0.0119	0.128	2.49	0.873	0.756	0.607	0.912	0.781
MPI-ESM1-2-HR_CMIP6	[-]	0.0889	0.0889	0.161	-0.0718	0.129	2.80	0.784	0.734	0.448	0.0555	0.551
NorESM2-MM_BARPA	[-]	0.220	0.220	0.162	0.0578	0.162	2.60	0.821	0.716	0.605	0.948	0.761
NorESM2-MM_CCAM	[-]	0.384	0.384	0.166	0.218	0.283	3.01	0.614	0.657	0.515	0.961	0.681
NorESM2-MM_CMIP6	[-]	0.304	0.304	0.151	0.153	0.203	1.86	0.651	0.679	0.687	0.413	0.622

	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	[-]	0.250
ACCESS-CM2_BARPA	[-]	0.264	0.263	0.249	0.278	0.0142	0.246	1.60	0.816	0.664	0.784	0.776	0.740
ACCESS-CM2_CCAM	[-]	0.286	0.286	0.250	0.260	0.0362	0.173	1.15	0.869	0.762	0.888	0.775	0.811
ACCESS-CM2_CMIP6	[-]	0.208	0.208	0.219		-0.0117	0.231	1.47	0.811	0.585	0.776	0.496	0.651
ACCESS-ESM1-5_BARPA	[-]	0.181	0.181	0.249	0.192	-0.0684	0.210	1.59	0.816	0.704	0.824	0.567	0.723
ACCESS-ESM1-5_CCAM	[-]	0.199	0.199	0.250	0.172	-0.0505	0.171	1.44	0.850	0.753	0.855	0.522	0.747
ACCESS-ESM1-5_CMIP6	[-]	0.166	0.166	0.248		-0.0810	0.270	2.61	0.734	0.566	0.532	0.269	0.534
CESM2_BARPA	[-]	0.177	0.177	0.249	0.144	-0.0719	0.200	1.86	0.819	0.719	0.778	0.854	0.778
CESM2_CCAM	[-]	0.283	0.284	0.250	0.125	0.0347	0.250	1.94	0.874	0.638	0.791	0.932	0.774
CESM2_CMIP6	[-]	0.148	0.148	0.253		-0.105	0.200	1.65	0.762	0.688	0.816	0.0789	0.606
CMCC-ESM2_BARPA	[-]	0.175	0.175	0.249	0.155	-0.0745	0.216	2.40	0.815	0.690	0.651	0.710	0.711
CMCC-ESM2_CCAM	[-]	0.368	0.369	0.250	0.330	0.119	0.226	1.75	0.809	0.734	0.801	0.846	0.785
CMCC-ESM2_CMIP6	[-]	0.171	0.171	0.253		-0.0826	0.211	1.78	0.785	0.667	0.767	0.0774	0.593
CNRM-ESM2-1_CCAM	[-]	0.313	0.314	0.250	0.260	0.0642	0.195	1.67	0.840	0.747	0.813	0.750	0.779
CNRM-ESM2-1_CMIP6	[-]	0.288	0.288	0.251		0.0365	0.175	1.05	0.872	0.706	0.895	0.976	0.831
EC-Earth3_BARPA	[-]	0.217	0.218	0.249	0.132	-0.0316	0.199	1.71	0.857	0.711	0.778	0.931	0.798
EC-Earth3_CCAM	[-]	0.337	0.339	0.250	0.178	0.0891	0.240	1.49	0.836	0.670	0.849	0.940	0.793
EC-Earth3_CMIP6	[-]	0.202	0.202	0.251		-0.0485	0.269	1.90	0.806	0.596	0.715	0.833	0.709
ERA5_BARPA	[-]	0.257	0.257	0.249	0.244	0.00836	0.192	1.66	0.833	0.732	0.789	0.799	0.777
ERA5_CCAM	[-]	0.269	0.270	0.249	0.195	0.0211	0.149	1.27	0.883	0.794	0.870	0.775	0.823
MPI-ESM1-2-HR_BARPA	[-]	0.185	0.185	0.249	0.163	-0.0638	0.194	1.92	0.836	0.721	0.761	0.731	0.754
MPI-ESM1-2-HR_CMIP6	[-]	0.0842	0.0842	0.244		-0.160	0.228	1.36	0.685	0.694	0.857	0.0303	0.592
NorESM2-MM_BARPA	[-]	0.306	0.306	0.249	0.310	0.0566	0.258	1.41	0.799	0.666	0.839	0.905	0.775
NorESM2-MM_CCAM	[-]	0.310	0.309	0.250	0.374	0.0596	0.242	1.25	0.788	0.702	0.885	0.306	0.677
NorESM2-MM_CMIP6	[-]	0.231	0.231	0.253		-0.0219	0.225	1.09	0.780	0.658	0.916	0.230	0.648

	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	[-]	1.75
ACCESS-CM2_BARPA	[-]	1.14	1.14	1.75	1.11	-0.602	1.12	0.294	0.787	0.720	0.978	0.944	0.830
ACCESS-CM2_CCAM	[-]	0.858	0.856	1.75	0.873	-0.894	1.50	0.321	0.715	0.647	0.977	0.536	0.704
ACCESS-CM2_CMIP6	[-]	0.779	0.779	1.67		-0.895	1.49	0.198	0.693	0.624	0.987	0.882	0.762
ACCESS-ESM1-5_BARPA	[-]	1.26	1.26	1.75	1.28	-0.487	0.950	0.441	0.817	0.756	0.972	0.946	0.849
ACCESS-ESM1-5_CCAM	[-]	1.58	1.57	1.75	1.68	-0.177	0.857	0.254	0.893	0.753	0.979	0.962	0.868
ACCESS-ESM1-5_CMIP6	[-]	1.31	1.31	1.83		-0.516	1.16	0.494	0.826	0.682	0.963	0.426	0.716
CESM2_BARPA	[-]	1.00	0.999	1.75	1.04	-0.746	1.18	0.392	0.757	0.714	0.972	0.914	0.814
CESM2_CCAM	[-]	1.29	1.29	1.75	1.26	-0.457	1.02	0.724	0.824	0.728	0.941	0.877	0.820
CESM2_CMIP6	[-]	1.31	1.31	1.70		-0.391	0.975	0.437	0.852	0.721	0.968	0.686	0.789
CMCC-ESM2_BARPA	[-]	0.937	0.929	1.75	1.03	-0.816	1.28	0.403	0.738	0.697	0.970	0.912	0.803
CMCC-ESM2_CCAM	[-]	1.25	1.23	1.75	1.41	-0.516	0.909	0.187	0.821	0.767	0.986	0.796	0.827
CMCC-ESM2_CMIP6	[-]	0.912	0.912	1.70		-0.786	1.17	0.00	0.737	0.721	1.00	0.351	0.706
CNRM-ESM2-1_CCAM	[-]	0.860	0.866	1.75	0.797	-0.884	1.46	0.325	0.721	0.662	0.974	0.842	0.772
CNRM-ESM2-1_CMIP6	[-]	0.754	0.754	1.70		-0.946	1.55	0.163	0.698	0.627	0.992	0.627	0.714
EC-Earth3_BARPA	[-]	1.37	1.35	1.75	1.63	-0.391	0.863	0.813	0.831	0.780	0.940	0.973	0.861
EC-Earth3_CCAM	[-]	1.46	1.44	1.75	1.67	-0.310	0.889	0.834	0.871	0.753	0.937	0.966	0.856
EC-Earth3_CMIP6	[-]	1.26	1.26	1.68		-0.418	0.905	0.670	0.836	0.753	0.952	0.972	0.853
ERA5_BARPA	[-]	1.34	1.34	1.75	1.40	-0.412	0.985	0.447	0.846	0.732	0.968	0.980	0.852
ERA5_CCAM	[-]	1.37	1.36	1.76	1.48	-0.398	0.747	0.383	0.854	0.801	0.974	0.907	0.868
MPI-ESM1-2-HR_BARPA	[-]	1.05	1.05	1.75	1.10	-0.699	1.10	0.203	0.770	0.741	0.985	0.972	0.842
MPI-ESM1-2-HR_CMIP6	[-]	0.529	0.529	1.70		-1.18	1.93	0.260	0.627	0.572	0.983	0.638	0.678
NorESM2-MM_BARPA	[-]	1.38	1.37	1.75	1.53	-0.371	0.847	0.410	0.848	0.769	0.969	0.966	0.864
NorESM2-MM_CCAM	[-]	1.76	1.73	1.75	2.06	-0.0230	0.632	0.462	0.892	0.820	0.965	0.930	0.885
NorESM2-MM_CMIP6	[-]	1.69	1.69	1.70		-0.0103	0.748	0.105	0.868	0.782	0.994	0.780	0.841

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 19:26:11 2024: ncatted -a missing_value,R20mm,d,, /g/data/xv83/users/bxn599/ACS/icclim_indices_acs/agcd/indices/none/none/AUS-r005/BOM/AGCD/historical/none/none/none/climdex/R20mm/v20240411/R20mm_AUS-r005_AGCD_historical_none_BOM_none_none_mon_19790101-20211231_masked.nc.tmp Wed Aug 28 14:00:47 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/R20mm/v20240411/R20mm_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/R20mm/v20240411/R20mm_AUS-r005_AGCD_historical_none_BOM_none_none_mon_19790101-20211231_masked_compressed.nc Wed Jun 05 08:52:03 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/R20mm/v20240411/R20mm_AUS-r005_AGCD_historical_none_BOM_none_none_mon_19790101-20211231.nc ./indices/none/none/AUS-r005/BOM/AGCD/historical/none/none/none/climdex/R20mm/v20240411/R20mm_AUS-r005_AGCD_historical_none_BOM_none_none_mon_19790101-20211231_masked.nc Wed May 15 14:27:42 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 R20mm /g/data/xv83/users/bxn599/ACS/icclim_indices_acs/agcd/indices/none/none/AUS-r005/BOM/AGCD/historical/none/none/none/climdex/R20mm/v20240411/R20mm_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:: R20mm

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