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	[-]	0.236
ACCESS-CM2_BARPA	[-]	0.266	0.277	0.234	0.225	0.0424	0.176	1.18	0.909	0.753	0.856	0.984	0.851
ACCESS-CM2_CCAM	[-]	0.269	0.278	0.235	0.237	0.0426	0.170	1.21	0.890	0.772	0.851	0.947	0.846
ACCESS-CM2_CMIP6	[-]	0.279	0.284	0.229	0.218	0.0558	0.200	1.08	0.859	0.696	0.868	0.946	0.813
ACCESS-ESM1-5_BARPA	[-]	0.261	0.271	0.234	0.219	0.0370	0.163	1.00	0.912	0.769	0.888	0.983	0.864
ACCESS-ESM1-5_CCAM	[-]	0.265	0.280	0.235	0.208	0.0448	0.177	1.31	0.881	0.768	0.836	0.972	0.845
ACCESS-ESM1-5_CMIP6	[-]	0.294	0.300	0.223	0.214	0.0770	0.230	1.16	0.833	0.651	0.859	0.978	0.794
CESM2_BARPA	[-]	0.231	0.244	0.234	0.177	0.00978	0.154	1.21	0.943	0.773	0.854	0.990	0.867
CESM2_CCAM	[-]	0.184	0.203	0.235	0.114	-0.0322	0.167	1.62	0.934	0.761	0.774	0.985	0.843
CESM2_CMIP6	[-]	0.288	0.298	0.226	0.199	0.0726	0.209	1.05	0.845	0.692	0.886	0.973	0.818
CMCC-ESM2_BARPA	[-]	0.227	0.237	0.234	0.188	0.00230	0.178	1.78	0.946	0.739	0.737	0.984	0.829
CMCC-ESM2_CCAM	[-]	0.341	0.346	0.235	0.322	0.111	0.223	1.49	0.810	0.723	0.792	0.953	0.800
CMCC-ESM2_CMIP6	[-]	0.388	0.395	0.226	0.333	0.169	0.325	1.03	0.713	0.608	0.877	0.936	0.748
CNRM-ESM2-1_CCAM	[-]	0.286	0.296	0.235	0.250	0.0610	0.181	1.17	0.875	0.762	0.859	0.961	0.844
CNRM-ESM2-1_CMIP6	[-]	0.179	0.188	0.226	0.0959	-0.0382	0.142	0.934	0.910	0.772	0.889	0.969	0.863
EC-Earth3_BARPA	[-]	0.199	0.213	0.234	0.142	-0.0210	0.133	1.03	0.948	0.803	0.883	0.988	0.885
EC-Earth3_CCAM	[-]	0.262	0.276	0.235	0.210	0.0413	0.177	1.08	0.908	0.757	0.872	0.983	0.855
EC-Earth3_CMIP6	[-]	0.233	0.245	0.229	0.154	0.0157	0.184	0.955	0.911	0.727	0.890	0.952	0.842
ERA5_BARPA	[-]	0.261	0.272	0.234	0.215	0.0381	0.166	1.35	0.920	0.762	0.827	0.985	0.851
ERA5_CCAM	[-]	0.285	0.299	0.235	0.231	0.0639	0.170	1.18	0.877	0.776	0.851	0.980	0.852
MPI-ESM1-2-HR_BARPA	[-]	0.193	0.203	0.234	0.151	-0.0312	0.147	1.05	0.939	0.787	0.875	0.986	0.875
MPI-ESM1-2-HR_CMIP6	[-]	0.113	0.120	0.229	0.0632	-0.109	0.185	1.34	0.809	0.765	0.826	0.934	0.820
NorESM2-MM_BARPA	[-]	0.273	0.284	0.234	0.234	0.0492	0.197	1.91	0.903	0.718	0.715	0.989	0.809
NorESM2-MM_CCAM	[-]	0.312	0.320	0.235	0.280	0.0855	0.192	1.26	0.843	0.753	0.837	0.960	0.829
NorESM2-MM_CMIP6	[-]	0.348	0.356	0.226	0.280	0.131	0.236	1.23	0.759	0.685	0.847	0.977	0.790

	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	[-]	0.276
ACCESS-CM2_BARPA	[-]	0.320	0.320	0.277	0.0429	0.156	0.972	0.927	0.773	0.903	0.996	0.885
ACCESS-CM2_CCAM	[-]	0.339	0.339	0.277	0.0623	0.171	1.07	0.896	0.762	0.884	0.983	0.868
ACCESS-CM2_CMIP6	[-]	0.373	0.373	0.274	0.0989	0.183	0.842	0.805	0.719	0.925	0.940	0.833
ACCESS-ESM1-5_BARPA	[-]	0.326	0.326	0.277	0.0488	0.162	1.14	0.916	0.768	0.879	0.953	0.867
ACCESS-ESM1-5_CCAM	[-]	0.368	0.368	0.277	0.0914	0.197	1.18	0.853	0.745	0.869	0.986	0.850
ACCESS-ESM1-5_CMIP6	[-]	0.413	0.413	0.281	0.132	0.257	0.774	0.755	0.635	0.949	0.812	0.771
CESM2_BARPA	[-]	0.307	0.307	0.277	0.0297	0.162	1.20	0.946	0.760	0.856	0.997	0.875
CESM2_CCAM	[-]	0.245	0.245	0.277	-0.0319	0.140	1.11	0.946	0.793	0.880	0.963	0.884
CESM2_CMIP6	[-]	0.405	0.405	0.278	0.127	0.223	1.33	0.771	0.697	0.836	0.999	0.811
CMCC-ESM2_BARPA	[-]	0.285	0.285	0.277	0.00829	0.170	1.13	0.972	0.746	0.863	0.999	0.878
CMCC-ESM2_CCAM	[-]	0.390	0.390	0.277	0.114	0.238	1.16	0.820	0.700	0.866	0.980	0.826
CMCC-ESM2_CMIP6	[-]	0.440	0.440	0.278	0.161	0.250	0.778	0.718	0.680	0.917	0.998	0.812
CNRM-ESM2-1_CCAM	[-]	0.332	0.332	0.277	0.0553	0.169	1.05	0.907	0.764	0.891	0.986	0.873
CNRM-ESM2-1_CMIP6	[-]	0.254	0.254	0.276	-0.0223	0.145	1.62	0.897	0.754	0.787	0.606	0.760
EC-Earth3_BARPA	[-]	0.226	0.226	0.277	-0.0511	0.140	1.01	0.916	0.800	0.897	0.927	0.876
EC-Earth3_CCAM	[-]	0.303	0.303	0.277	0.0258	0.194	1.31	0.949	0.720	0.852	0.965	0.854
EC-Earth3_CMIP6	[-]	0.223	0.223	0.277	-0.0538	0.138	0.970	0.899	0.788	0.906	0.981	0.882
ERA5_BARPA	[-]	0.302	0.302	0.277	0.0252	0.175	1.51	0.953	0.742	0.804	0.997	0.859
ERA5_CCAM	[-]	0.358	0.358	0.277	0.0812	0.178	1.46	0.868	0.762	0.815	0.973	0.844
MPI-ESM1-2-HR_BARPA	[-]	0.197	0.197	0.277	-0.0799	0.163	1.19	0.871	0.783	0.857	0.958	0.858
MPI-ESM1-2-HR_CMIP6	[-]	0.132	0.132	0.281	-0.148	0.193	1.86	0.744	0.785	0.758	0.987	0.815
NorESM2-MM_BARPA	[-]	0.321	0.321	0.277	0.0441	0.214	1.99	0.924	0.696	0.709	0.993	0.815
NorESM2-MM_CCAM	[-]	0.352	0.352	0.277	0.0756	0.173	1.05	0.876	0.767	0.892	0.927	0.854
NorESM2-MM_CMIP6	[-]	0.424	0.424	0.278	0.146	0.224	1.67	0.741	0.709	0.781	0.955	0.787

	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	[-]	0.343
ACCESS-CM2_BARPA	[-]	0.375	0.375	0.344	0.0308	0.177	0.886	0.946	0.787	0.912	0.993	0.901
ACCESS-CM2_CCAM	[-]	0.359	0.359	0.344	0.0158	0.171	0.990	0.939	0.798	0.902	0.932	0.880
ACCESS-CM2_CMIP6	[-]	0.375	0.375	0.366	0.00911	0.203	1.00	0.906	0.731	0.883	0.792	0.794
ACCESS-ESM1-5_BARPA	[-]	0.394	0.394	0.344	0.0498	0.196	0.937	0.921	0.769	0.902	0.982	0.887
ACCESS-ESM1-5_CCAM	[-]	0.418	0.418	0.344	0.0747	0.191	1.05	0.888	0.789	0.891	0.957	0.873
ACCESS-ESM1-5_CMIP6	[-]	0.450	0.450	0.328	0.122	0.298	0.905	0.792	0.608	0.925	0.938	0.807
CESM2_BARPA	[-]	0.379	0.379	0.344	0.0347	0.205	1.01	0.947	0.757	0.899	0.995	0.887
CESM2_CCAM	[-]	0.340	0.340	0.344	-0.00338	0.167	1.01	0.955	0.796	0.903	0.959	0.901
CESM2_CMIP6	[-]	0.488	0.488	0.339	0.149	0.272	1.06	0.775	0.680	0.903	0.963	0.808
CMCC-ESM2_BARPA	[-]	0.350	0.350	0.344	0.00647	0.217	1.20	0.956	0.748	0.871	0.929	0.868
CMCC-ESM2_CCAM	[-]	0.419	0.419	0.344	0.0753	0.211	1.05	0.894	0.761	0.891	0.983	0.870
CMCC-ESM2_CMIP6	[-]	0.553	0.553	0.339	0.214	0.363	0.674	0.697	0.611	0.926	0.856	0.733
CNRM-ESM2-1_CCAM	[-]	0.374	0.374	0.344	0.0301	0.189	1.07	0.926	0.777	0.892	0.845	0.858
CNRM-ESM2-1_CMIP6	[-]	0.340	0.340	0.340	0.000230	0.178	1.18	0.922	0.744	0.886	0.918	0.862
EC-Earth3_BARPA	[-]	0.313	0.313	0.344	-0.0312	0.165	0.718	0.944	0.800	0.937	0.973	0.905
EC-Earth3_CCAM	[-]	0.366	0.366	0.344	0.0226	0.188	1.26	0.946	0.771	0.849	0.983	0.876
EC-Earth3_CMIP6	[-]	0.346	0.346	0.342	0.00464	0.168	0.695	0.945	0.779	0.953	0.953	0.874
ERA5_BARPA	[-]	0.375	0.375	0.344	0.0315	0.193	1.30	0.951	0.769	0.849	0.996	0.881
ERA5_CCAM	[-]	0.409	0.409	0.344	0.0652	0.176	1.00	0.902	0.798	0.885	0.962	0.881
MPI-ESM1-2-HR_BARPA	[-]	0.257	0.257	0.344	-0.0872	0.179	0.596	0.882	0.804	0.940	0.983	0.894
MPI-ESM1-2-HR_CMIP6	[-]	0.169	0.169	0.347	-0.177	0.241	0.868	0.747	0.775	0.910	0.979	0.827
NorESM2-MM_BARPA	[-]	0.390	0.390	0.344	0.0463	0.220	1.12	0.934	0.740	0.864	0.986	0.868
NorESM2-MM_CCAM	[-]	0.393	0.393	0.344	0.0495	0.191	0.834	0.908	0.776	0.927	0.830	0.862
NorESM2-MM_CMIP6	[-]	0.481	0.481	0.339	0.143	0.239	0.725	0.781	0.724	0.948	0.996	0.845

	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	[-]	0.290
ACCESS-CM2_BARPA	[-]	0.334	0.330	0.291	0.396	0.0381	0.223	0.717	0.932	0.758	0.945	0.981	0.883
ACCESS-CM2_CCAM	[-]	0.351	0.346	0.291	0.406	0.0553	0.198	0.560	0.906	0.796	0.957	0.981	0.876
ACCESS-CM2_CMIP6	[-]	0.363	0.363	0.301		0.0621	0.283	0.658	0.890	0.679	0.937	0.924	0.796
ACCESS-ESM1-5_BARPA	[-]	0.346	0.343	0.291	0.388	0.0511	0.181	0.473	0.918	0.803	0.967	0.933	0.897
ACCESS-ESM1-5_CCAM	[-]	0.388	0.385	0.291	0.432	0.0938	0.216	0.645	0.875	0.784	0.951	0.958	0.884
ACCESS-ESM1-5_CMIP6	[-]	0.401	0.401	0.295		0.106	0.270	0.473	0.850	0.695	0.970	0.985	0.857
CESM2_BARPA	[-]	0.270	0.268	0.291	0.303	-0.0234	0.169	0.578	0.959	0.807	0.959	0.896	0.892
CESM2_CCAM	[-]	0.248	0.243	0.291	0.314	-0.0483	0.199	0.695	0.930	0.784	0.946	0.991	0.903
CESM2_CMIP6	[-]	0.379	0.379	0.294		0.0845	0.264	0.579	0.880	0.695	0.959	0.990	0.864
CMCC-ESM2_BARPA	[-]	0.270	0.267	0.291	0.315	-0.0241	0.206	0.639	0.942	0.770	0.951	0.969	0.883
CMCC-ESM2_CCAM	[-]	0.420	0.414	0.291	0.493	0.123	0.263	0.627	0.844	0.740	0.956	0.973	0.863
CMCC-ESM2_CMIP6	[-]	0.538	0.538	0.294		0.243	0.512	0.570	0.698	0.517	0.960	0.981	0.765
CNRM-ESM2-1_CCAM	[-]	0.402	0.395	0.291	0.483	0.104	0.236	0.569	0.863	0.765	0.957	0.986	0.879
CNRM-ESM2-1_CMIP6	[-]	0.211	0.211	0.296		-0.0842	0.201	0.474	0.875	0.772	0.965	0.964	0.878
EC-Earth3_BARPA	[-]	0.293	0.289	0.291	0.352	-0.00262	0.150	0.545	0.957	0.828	0.961	0.986	0.919
EC-Earth3_CCAM	[-]	0.394	0.388	0.291	0.480	0.0965	0.235	0.510	0.875	0.760	0.963	0.985	0.886
EC-Earth3_CMIP6	[-]	0.389	0.388	0.294	0.498	0.0935	0.258	0.546	0.878	0.720	0.962	0.934	0.866
ERA5_BARPA	[-]	0.333	0.330	0.291	0.385	0.0384	0.210	0.783	0.936	0.767	0.934	0.966	0.887
ERA5_CCAM	[-]	0.412	0.407	0.291	0.480	0.116	0.232	0.520	0.854	0.772	0.961	0.992	0.886
MPI-ESM1-2-HR_BARPA	[-]	0.254	0.249	0.291	0.331	-0.0423	0.176	0.591	0.934	0.807	0.960	0.982	0.902
MPI-ESM1-2-HR_CMIP6	[-]	0.166	0.164	0.293	0.372	-0.129	0.243	0.606	0.825	0.755	0.959	0.969	0.866
NorESM2-MM_BARPA	[-]	0.329	0.326	0.291	0.377	0.0345	0.207	0.579	0.941	0.767	0.947	0.974	0.891
NorESM2-MM_CCAM	[-]	0.408	0.404	0.291	0.463	0.113	0.217	0.530	0.855	0.787	0.962	0.955	0.879
NorESM2-MM_CMIP6	[-]	0.453	0.453	0.294		0.159	0.292	0.518	0.790	0.699	0.963	0.995	0.845

	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	[-]	0.284
ACCESS-CM2_BARPA	[-]	0.327	0.327	0.284	0.0425	0.178	2.57	0.926	0.736	0.602	0.988	0.804
ACCESS-CM2_CCAM	[-]	0.308	0.308	0.284	0.0241	0.164	2.28	0.936	0.755	0.656	0.993	0.826
ACCESS-CM2_CMIP6	[-]	0.355	0.355	0.286	0.0695	0.207	2.16	0.857	0.660	0.674	0.994	0.781
ACCESS-ESM1-5_BARPA	[-]	0.295	0.295	0.284	0.0111	0.155	1.95	0.967	0.763	0.727	0.998	0.853
ACCESS-ESM1-5_CCAM	[-]	0.277	0.277	0.284	-0.00631	0.169	2.41	0.956	0.747	0.638	0.994	0.824
ACCESS-ESM1-5_CMIP6	[-]	0.344	0.344	0.294	0.0495	0.258	1.73	0.858	0.597	0.755	0.868	0.750
CESM2_BARPA	[-]	0.316	0.316	0.284	0.0324	0.162	1.61	0.943	0.757	0.774	0.976	0.851
CESM2_CCAM	[-]	0.236	0.236	0.284	-0.0475	0.161	1.88	0.913	0.769	0.731	0.989	0.842
CESM2_CMIP6	[-]	0.375	0.375	0.291	0.0847	0.238	1.72	0.835	0.640	0.773	0.985	0.790
CMCC-ESM2_BARPA	[-]	0.298	0.298	0.284	0.0143	0.171	2.57	0.968	0.739	0.596	0.996	0.815
CMCC-ESM2_CCAM	[-]	0.368	0.368	0.284	0.0840	0.199	2.11	0.855	0.738	0.684	0.992	0.809
CMCC-ESM2_CMIP6	[-]	0.373	0.373	0.291	0.0826	0.200	1.49	0.833	0.711	0.799	0.983	0.818
CNRM-ESM2-1_CCAM	[-]	0.290	0.290	0.284	0.00648	0.157	1.82	0.958	0.761	0.742	0.964	0.846
CNRM-ESM2-1_CMIP6	[-]	0.283	0.283	0.290	-0.00696	0.139	1.48	0.928	0.753	0.785	0.919	0.836
EC-Earth3_BARPA	[-]	0.245	0.245	0.284	-0.0391	0.148	1.86	0.933	0.779	0.746	0.985	0.852
EC-Earth3_CCAM	[-]	0.274	0.274	0.284	-0.00992	0.168	1.92	0.972	0.748	0.721	0.972	0.841
EC-Earth3_CMIP6	[-]	0.242	0.242	0.288	-0.0457	0.204	2.26	0.909	0.681	0.652	0.996	0.795
ERA5_BARPA	[-]	0.319	0.319	0.284	0.0353	0.148	1.96	0.934	0.778	0.713	0.998	0.847
ERA5_CCAM	[-]	0.317	0.317	0.284	0.0333	0.143	2.04	0.927	0.788	0.699	0.982	0.842
MPI-ESM1-2-HR_BARPA	[-]	0.271	0.271	0.284	-0.0132	0.158	2.23	0.956	0.761	0.648	0.987	0.830
MPI-ESM1-2-HR_CMIP6	[-]	0.182	0.182	0.282	-0.100	0.164	2.94	0.810	0.768	0.514	0.991	0.770
NorESM2-MM_BARPA	[-]	0.348	0.348	0.284	0.0637	0.191	2.73	0.892	0.726	0.560	0.977	0.782
NorESM2-MM_CCAM	[-]	0.339	0.339	0.284	0.0556	0.173	2.08	0.900	0.750	0.686	0.991	0.823
NorESM2-MM_CMIP6	[-]	0.401	0.401	0.291	0.111	0.209	2.09	0.789	0.701	0.687	0.932	0.769

	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	[-]	0.151
ACCESS-CM2_BARPA	[-]	0.209	0.206	0.150	0.214	0.0558	0.146	1.04	0.882	0.754	0.881	0.975	0.851
ACCESS-CM2_CCAM	[-]	0.220	0.217	0.150	0.225	0.0664	0.150	1.27	0.861	0.762	0.846	0.903	0.841
ACCESS-CM2_CMIP6	[-]	0.220	0.220	0.148	0.218	0.0719	0.162	0.904	0.834	0.710	0.902	0.955	0.832
ACCESS-ESM1-5_BARPA	[-]	0.202	0.199	0.150	0.208	0.0492	0.139	0.884	0.894	0.762	0.911	0.962	0.872
ACCESS-ESM1-5_CCAM	[-]	0.197	0.201	0.150	0.191	0.0504	0.148	1.34	0.871	0.766	0.830	0.655	0.813
ACCESS-ESM1-5_CMIP6	[-]	0.225	0.226	0.148	0.214	0.0784	0.195	1.18	0.821	0.650	0.859	0.855	0.796
CESM2_BARPA	[-]	0.170	0.171	0.150	0.169	0.0204	0.125	1.24	0.937	0.772	0.854	0.979	0.874
CESM2_CCAM	[-]	0.113	0.120	0.150	0.0988	-0.0305	0.139	2.03	0.937	0.752	0.691	0.948	0.808
CESM2_CMIP6	[-]	0.214	0.218	0.149	0.199	0.0693	0.176	0.906	0.832	0.695	0.914	0.813	0.824
CMCC-ESM2_BARPA	[-]	0.172	0.169	0.150	0.180	0.0186	0.153	2.17	0.944	0.724	0.656	0.934	0.805
CMCC-ESM2_CCAM	[-]	0.294	0.285	0.150	0.310	0.135	0.216	1.76	0.747	0.701	0.736	0.938	0.777
CMCC-ESM2_CMIP6	[-]	0.323	0.321	0.149	0.333	0.173	0.290	1.03	0.669	0.605	0.880	0.565	0.713
CNRM-ESM2-1_CCAM	[-]	0.231	0.230	0.150	0.233	0.0797	0.157	1.15	0.842	0.758	0.866	0.909	0.839
CNRM-ESM2-1_CMIP6	[-]	0.111	0.113	0.147	0.0959	-0.0337	0.106	0.832	0.925	0.788	0.905	0.693	0.828
EC-Earth3_BARPA	[-]	0.133	0.136	0.150	0.128	-0.0142	0.103	0.951	0.956	0.808	0.898	0.975	0.888
EC-Earth3_CCAM	[-]	0.194	0.196	0.150	0.190	0.0458	0.142	0.992	0.896	0.761	0.890	0.858	0.853
EC-Earth3_CMIP6	[-]	0.155	0.157	0.149	0.148	0.00777	0.140	0.735	0.923	0.739	0.929	0.852	0.855
ERA5_BARPA	[-]	0.200	0.198	0.150	0.204	0.0482	0.141	1.37	0.898	0.757	0.824	0.984	0.857
ERA5_CCAM	[-]	0.216	0.218	0.150	0.213	0.0677	0.148	1.21	0.861	0.768	0.849	0.783	0.834
MPI-ESM1-2-HR_BARPA	[-]	0.136	0.134	0.150	0.140	-0.0164	0.115	0.909	0.955	0.788	0.905	0.867	0.866
MPI-ESM1-2-HR_CMIP6	[-]	0.0649	0.0663	0.149	0.0597	-0.0831	0.143	1.36	0.821	0.771	0.827	0.866	0.801
NorESM2-MM_BARPA	[-]	0.214	0.210	0.150	0.224	0.0595	0.183	2.54	0.875	0.693	0.603	0.955	0.776
NorESM2-MM_CCAM	[-]	0.259	0.256	0.150	0.266	0.106	0.185	1.40	0.794	0.732	0.809	0.970	0.813
NorESM2-MM_CMIP6	[-]	0.286	0.287	0.149	0.280	0.139	0.225	1.28	0.714	0.665	0.839	0.926	0.784

	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	[-]	0.526
ACCESS-CM2_BARPA	[-]	0.571	0.571	0.528	0.0423	0.254	2.57	0.936	0.733	0.585	0.966	0.802
ACCESS-CM2_CCAM	[-]	0.490	0.490	0.526	-0.0362	0.231	2.57	0.930	0.754	0.586	0.996	0.806
ACCESS-CM2_CMIP6	[-]	0.522	0.522	0.534	-0.0123	0.245	3.47	0.940	0.678	0.387	0.950	0.747
ACCESS-ESM1-5_BARPA	[-]	0.526	0.526	0.528	-0.00217	0.253	1.82	0.939	0.736	0.741	0.943	0.836
ACCESS-ESM1-5_CCAM	[-]	0.496	0.496	0.526	-0.0300	0.258	2.37	0.925	0.732	0.642	0.967	0.813
ACCESS-ESM1-5_CMIP6	[-]	0.464	0.463	0.486	-0.0220	0.307	2.66	0.941	0.605	0.563	0.892	0.772
CESM2_BARPA	[-]	0.585	0.585	0.528	0.0568	0.264	1.97	0.920	0.729	0.711	0.961	0.817
CESM2_CCAM	[-]	0.531	0.531	0.526	0.00435	0.302	2.24	0.908	0.701	0.651	0.891	0.795
CESM2_CMIP6	[-]	0.574	0.574	0.508	0.0656	0.282	3.03	0.894	0.659	0.513	0.971	0.693
CMCC-ESM2_BARPA	[-]	0.560	0.560	0.528	0.0313	0.268	2.12	0.936	0.722	0.691	0.983	0.826
CMCC-ESM2_CCAM	[-]	0.559	0.559	0.526	0.0331	0.245	2.09	0.918	0.744	0.672	0.964	0.812
CMCC-ESM2_CMIP6	[-]	0.560	0.560	0.508	0.0518	0.278	2.98	0.853	0.682	0.514	0.946	0.701
CNRM-ESM2-1_CCAM	[-]	0.483	0.483	0.526	-0.0430	0.254	2.35	0.928	0.737	0.649	0.993	0.818
CNRM-ESM2-1_CMIP6	[-]	0.629	0.629	0.566	0.0633	0.286	2.62	0.827	0.676	0.598	0.939	0.698
EC-Earth3_BARPA	[-]	0.495	0.495	0.528	-0.0338	0.233	1.99	0.936	0.753	0.703	0.993	0.844
EC-Earth3_CCAM	[-]	0.493	0.493	0.526	-0.0328	0.226	1.98	0.926	0.760	0.705	0.993	0.833
EC-Earth3_CMIP6	[-]	0.513	0.513	0.524	-0.0105	0.298	2.74	0.915	0.656	0.559	0.979	0.730
ERA5_BARPA	[-]	0.560	0.560	0.528	0.0318	0.221	2.00	0.941	0.761	0.689	0.997	0.842
ERA5_CCAM	[-]	0.504	0.504	0.526	-0.0225	0.195	2.28	0.933	0.791	0.653	0.934	0.832
MPI-ESM1-2-HR_BARPA	[-]	0.539	0.539	0.528	0.0105	0.249	1.88	0.930	0.744	0.720	0.896	0.823
MPI-ESM1-2-HR_CMIP6	[-]	0.460	0.460	0.545	-0.0855	0.239	2.25	0.836	0.748	0.651	0.983	0.753
NorESM2-MM_BARPA	[-]	0.602	0.602	0.528	0.0740	0.266	1.98	0.904	0.728	0.697	0.993	0.820
NorESM2-MM_CCAM	[-]	0.531	0.531	0.526	0.00450	0.235	2.20	0.946	0.749	0.658	0.997	0.828
NorESM2-MM_CMIP6	[-]	0.575	0.575	0.508	0.0663	0.244	3.23	0.897	0.696	0.487	0.917	0.714

	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	[-]	0.286
ACCESS-CM2_BARPA	[-]	0.283	0.283	0.285	0.222	-0.00182	0.198	2.01	0.955	0.714	0.706	0.937	0.808
ACCESS-CM2_CCAM	[-]	0.239	0.239	0.285	0.193	-0.0460	0.146	1.44	0.926	0.792	0.811	0.903	0.840
ACCESS-CM2_CMIP6	[-]	0.259	0.259	0.284		-0.0250	0.221	2.20	0.929	0.629	0.689	0.872	0.743
ACCESS-ESM1-5_BARPA	[-]	0.239	0.239	0.285	0.200	-0.0456	0.186	2.01	0.926	0.735	0.715	0.841	0.798
ACCESS-ESM1-5_CCAM	[-]	0.199	0.200	0.285	0.145	-0.0856	0.175	1.86	0.864	0.774	0.737	0.933	0.808
ACCESS-ESM1-5_CMIP6	[-]	0.221	0.221	0.279		-0.0576	0.232	2.81	0.886	0.620	0.546	0.914	0.738
CESM2_BARPA	[-]	0.275	0.275	0.285	0.191	-0.00952	0.177	2.37	0.954	0.740	0.637	0.993	0.813
CESM2_CCAM	[-]	0.253	0.253	0.285	0.149	-0.0319	0.206	1.96	0.924	0.715	0.726	0.926	0.818
CESM2_CMIP6	[-]	0.245	0.245	0.286		-0.0407	0.170	2.24	0.913	0.721	0.675	0.954	0.796
CMCC-ESM2_BARPA	[-]	0.257	0.258	0.285	0.193	-0.0271	0.187	2.55	0.946	0.729	0.594	0.958	0.799
CMCC-ESM2_CCAM	[-]	0.310	0.311	0.285	0.276	0.0254	0.172	2.09	0.933	0.749	0.684	0.917	0.796
CMCC-ESM2_CMIP6	[-]	0.287	0.287	0.286		0.000875	0.164	1.90	0.943	0.721	0.726	0.693	0.772
CNRM-ESM2-1_CCAM	[-]	0.266	0.266	0.285	0.230	-0.0195	0.160	2.16	0.946	0.766	0.669	0.791	0.790
CNRM-ESM2-1_CMIP6	[-]	0.240	0.240	0.277		-0.0373	0.150	1.17	0.907	0.747	0.840	0.992	0.843
EC-Earth3_BARPA	[-]	0.236	0.236	0.285	0.162	-0.0482	0.178	1.93	0.920	0.749	0.722	0.946	0.821
EC-Earth3_CCAM	[-]	0.254	0.254	0.285	0.187	-0.0310	0.177	1.85	0.940	0.743	0.730	0.952	0.818
EC-Earth3_CMIP6	[-]	0.231	0.231	0.285		-0.0536	0.234	2.06	0.904	0.648	0.681	0.988	0.775
ERA5_BARPA	[-]	0.291	0.292	0.285	0.236	0.00688	0.154	1.98	0.953	0.772	0.692	0.901	0.824
ERA5_CCAM	[-]	0.246	0.246	0.285	0.193	-0.0389	0.135	1.63	0.935	0.804	0.770	0.894	0.837
MPI-ESM1-2-HR_BARPA	[-]	0.247	0.248	0.285	0.164	-0.0368	0.170	2.14	0.934	0.754	0.670	0.976	0.818
MPI-ESM1-2-HR_CMIP6	[-]	0.132	0.132	0.278		-0.146	0.200	1.84	0.748	0.767	0.719	0.723	0.726
NorESM2-MM_BARPA	[-]	0.308	0.308	0.285	0.238	0.0237	0.203	1.55	0.940	0.709	0.808	0.968	0.830
NorESM2-MM_CCAM	[-]	0.259	0.260	0.285	0.222	-0.0255	0.174	1.67	0.934	0.750	0.776	0.881	0.807
NorESM2-MM_CMIP6	[-]	0.284	0.284	0.286		-0.00186	0.174	1.62	0.930	0.710	0.796	0.928	0.807

	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	[-]	0.465
ACCESS-CM2_BARPA	[-]	0.426	0.428	0.463	0.390	-0.0350	0.274	0.561	0.936	0.778	0.959	0.870	0.874
ACCESS-CM2_CCAM	[-]	0.355	0.353	0.464	0.372	-0.111	0.331	0.492	0.893	0.744	0.964	0.984	0.879
ACCESS-CM2_CMIP6	[-]	0.353	0.353	0.456		-0.103	0.345	0.196	0.897	0.691	0.987	0.472	0.754
ACCESS-ESM1-5_BARPA	[-]	0.465	0.467	0.463	0.447	0.00318	0.258	0.600	0.941	0.789	0.959	0.899	0.885
ACCESS-ESM1-5_CCAM	[-]	0.465	0.463	0.464	0.494	-0.00138	0.267	0.491	0.950	0.781	0.962	0.963	0.899
ACCESS-ESM1-5_CMIP6	[-]	0.548	0.548	0.455		0.0931	0.346	0.494	0.898	0.677	0.968	0.665	0.788
CESM2_BARPA	[-]	0.364	0.366	0.463	0.339	-0.0976	0.258	0.547	0.906	0.801	0.963	0.977	0.900
CESM2_CCAM	[-]	0.453	0.456	0.464	0.418	-0.00813	0.243	0.728	0.953	0.796	0.936	0.991	0.905
CESM2_CMIP6	[-]	0.482	0.482	0.442		0.0395	0.292	0.657	0.947	0.720	0.945	0.990	0.881
CMCC-ESM2_BARPA	[-]	0.350	0.351	0.463	0.337	-0.112	0.265	0.621	0.895	0.801	0.951	0.960	0.891
CMCC-ESM2_CCAM	[-]	0.490	0.489	0.464	0.500	0.0248	0.215	0.371	0.943	0.820	0.974	0.990	0.919
CMCC-ESM2_CMIP6	[-]	0.600	0.600	0.442		0.158	0.450	0.330	0.834	0.618	0.979	0.988	0.828
CNRM-ESM2-1_CCAM	[-]	0.401	0.396	0.464	0.448	-0.0676	0.272	0.546	0.922	0.784	0.961	0.972	0.896
CNRM-ESM2-1_CMIP6	[-]	0.314	0.314	0.431		-0.117	0.264	0.493	0.875	0.763	0.968	0.987	0.883
EC-Earth3_BARPA	[-]	0.396	0.396	0.463	0.392	-0.0669	0.229	0.872	0.937	0.814	0.924	0.968	0.900
EC-Earth3_CCAM	[-]	0.496	0.494	0.464	0.517	0.0296	0.266	0.766	0.940	0.780	0.935	0.984	0.895
EC-Earth3_CMIP6	[-]	0.555	0.555	0.450		0.106	0.315	0.713	0.892	0.730	0.949	0.995	0.874
ERA5_BARPA	[-]	0.450	0.451	0.463	0.431	-0.0120	0.267	0.808	0.953	0.781	0.920	0.963	0.890
ERA5_CCAM	[-]	0.486	0.485	0.464	0.502	0.0210	0.192	0.684	0.950	0.840	0.942	0.987	0.920
MPI-ESM1-2-HR_BARPA	[-]	0.356	0.359	0.463	0.326	-0.105	0.244	0.510	0.895	0.814	0.959	0.895	0.882
MPI-ESM1-2-HR_CMIP6	[-]	0.192	0.192	0.445		-0.253	0.427	0.459	0.755	0.696	0.971	0.884	0.812
NorESM2-MM_BARPA	[-]	0.447	0.448	0.463	0.432	-0.0149	0.214	0.476	0.952	0.821	0.964	0.993	0.920
NorESM2-MM_CCAM	[-]	0.553	0.555	0.464	0.537	0.0909	0.240	0.726	0.909	0.815	0.938	0.985	0.901
NorESM2-MM_CMIP6	[-]	0.568	0.568	0.442		0.125	0.296	0.871	0.865	0.738	0.932	0.938	0.854

	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	[-]	0.270
ACCESS-CM2_BARPA	[-]	0.381	0.300	0.271	0.448	0.0296	0.192	1.20	0.914	0.749	0.852	0.961	0.845
ACCESS-CM2_CCAM	[-]	0.356	0.295	0.271	0.406	0.0240	0.190	1.27	0.887	0.764	0.838	0.879	0.826
ACCESS-CM2_CMIP6	[-]	0.406	0.319	0.280	0.504	0.0395	0.229	1.18	0.877	0.690	0.852	0.939	0.809
ACCESS-ESM1-5_BARPA	[-]	0.358	0.290	0.271	0.413	0.0194	0.178	1.04	0.911	0.767	0.881	0.955	0.856
ACCESS-ESM1-5_CCAM	[-]	0.383	0.299	0.271	0.451	0.0286	0.194	1.33	0.881	0.762	0.830	0.962	0.839
ACCESS-ESM1-5_CMIP6	[-]	0.469	0.358	0.280	0.602	0.0784	0.256	1.24	0.843	0.656	0.842	0.968	0.793
CESM2_BARPA	[-]	0.343	0.270	0.271	0.404	-0.00133	0.170	1.22	0.939	0.770	0.853	0.978	0.862
CESM2_CCAM	[-]	0.384	0.243	0.271	0.496	-0.0275	0.185	1.54	0.930	0.756	0.789	0.980	0.842
CESM2_CMIP6	[-]	0.443	0.347	0.278	0.549	0.0685	0.230	1.14	0.857	0.694	0.866	0.981	0.819
CMCC-ESM2_BARPA	[-]	0.339	0.262	0.271	0.402	-0.00903	0.192	1.70	0.939	0.741	0.752	0.972	0.829
CMCC-ESM2_CCAM	[-]	0.440	0.369	0.271	0.498	0.0981	0.234	1.49	0.820	0.723	0.790	0.918	0.795
CMCC-ESM2_CMIP6	[-]	0.522	0.434	0.278	0.619	0.156	0.339	1.15	0.738	0.617	0.854	0.951	0.756
CNRM-ESM2-1_CCAM	[-]	0.378	0.313	0.271	0.431	0.0419	0.201	1.24	0.871	0.755	0.845	0.896	0.824
CNRM-ESM2-1_CMIP6	[-]	0.325	0.230	0.277	0.444	-0.0474	0.168	1.01	0.907	0.767	0.878	0.976	0.859
EC-Earth3_BARPA	[-]	0.323	0.241	0.271	0.389	-0.0297	0.152	1.04	0.941	0.797	0.881	0.974	0.878
EC-Earth3_CCAM	[-]	0.381	0.303	0.271	0.443	0.0324	0.196	1.14	0.901	0.751	0.861	0.963	0.846
EC-Earth3_CMIP6	[-]	0.405	0.291	0.273	0.519	0.0179	0.209	1.02	0.907	0.720	0.880	0.973	0.840
ERA5_BARPA	[-]	0.366	0.295	0.271	0.423	0.0245	0.172	1.30	0.923	0.768	0.834	0.958	0.850
ERA5_CCAM	[-]	0.375	0.318	0.271	0.420	0.0473	0.185	1.24	0.877	0.774	0.840	0.949	0.843
MPI-ESM1-2-HR_BARPA	[-]	0.318	0.232	0.271	0.388	-0.0388	0.165	1.04	0.933	0.783	0.874	0.978	0.870
MPI-ESM1-2-HR_CMIP6	[-]	0.279	0.166	0.276	0.396	-0.110	0.213	1.25	0.816	0.756	0.838	0.937	0.821
NorESM2-MM_BARPA	[-]	0.398	0.312	0.271	0.469	0.0407	0.204	1.80	0.906	0.724	0.736	0.976	0.814
NorESM2-MM_CCAM	[-]	0.394	0.336	0.271	0.441	0.0654	0.204	1.31	0.850	0.751	0.827	0.897	0.815
NorESM2-MM_CMIP6	[-]	0.486	0.397	0.278	0.582	0.119	0.249	1.35	0.785	0.691	0.824	0.955	0.789

	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	[-]	0.430
ACCESS-CM2_BARPA	[-]	0.440	0.390	0.423	0.451	-0.0334	0.321	0.729	0.935	0.721	0.943	0.985	0.861
ACCESS-CM2_CCAM	[-]	0.485	0.438	0.426	0.494	0.0115	0.364	0.727	0.924	0.695	0.941	0.986	0.848
ACCESS-CM2_CMIP6	[-]	0.504	0.399	0.415	0.539	-0.0161	0.446	0.985	0.934	0.593	0.893	0.987	0.800
ACCESS-ESM1-5_BARPA	[-]	0.393	0.390	0.423	0.393	-0.0334	0.280	0.723	0.926	0.755	0.946	0.933	0.863
ACCESS-ESM1-5_CCAM	[-]	0.511	0.507	0.426	0.512	0.0808	0.339	0.907	0.908	0.714	0.913	0.993	0.848
ACCESS-ESM1-5_CMIP6	[-]	0.644	0.550	0.422	0.679	0.128	0.430	0.554	0.852	0.629	0.964	0.611	0.737
CESM2_BARPA	[-]	0.338	0.311	0.423	0.344	-0.112	0.272	0.548	0.888	0.775	0.960	0.976	0.875
CESM2_CCAM	[-]	0.564	0.455	0.426	0.587	0.0283	0.297	0.688	0.911	0.746	0.945	0.836	0.837
CESM2_CMIP6	[-]	0.592	0.515	0.412	0.618	0.103	0.335	0.538	0.884	0.691	0.955	0.993	0.843
CMCC-ESM2_BARPA	[-]	0.340	0.292	0.423	0.351	-0.131	0.298	0.640	0.869	0.762	0.951	0.931	0.855
CMCC-ESM2_CCAM	[-]	0.613	0.560	0.426	0.624	0.133	0.319	0.644	0.866	0.741	0.947	0.948	0.848
CMCC-ESM2_CMIP6	[-]	0.740	0.611	0.412	0.784	0.199	0.470	0.575	0.790	0.610	0.957	0.994	0.792
CNRM-ESM2-1_CCAM	[-]	0.504	0.509	0.426	0.503	0.0829	0.309	0.676	0.885	0.742	0.948	0.871	0.838
CNRM-ESM2-1_CMIP6	[-]	0.428	0.309	0.402	0.477	-0.0934	0.273	0.798	0.891	0.742	0.936	0.938	0.850
EC-Earth3_BARPA	[-]	0.366	0.355	0.423	0.368	-0.0685	0.227	0.648	0.921	0.802	0.948	0.988	0.892
EC-Earth3_CCAM	[-]	0.563	0.555	0.426	0.565	0.128	0.353	0.703	0.869	0.713	0.936	0.993	0.845
EC-Earth3_CMIP6	[-]	0.631	0.567	0.419	0.650	0.148	0.386	0.671	0.844	0.671	0.948	0.993	0.826
ERA5_BARPA	[-]	0.406	0.391	0.423	0.410	-0.0319	0.253	0.791	0.934	0.776	0.934	0.974	0.879
ERA5_CCAM	[-]	0.539	0.567	0.426	0.533	0.141	0.316	0.679	0.858	0.748	0.943	0.912	0.842
MPI-ESM1-2-HR_BARPA	[-]	0.356	0.336	0.423	0.360	-0.0870	0.259	0.571	0.907	0.779	0.956	0.990	0.882
MPI-ESM1-2-HR_CMIP6	[-]	0.437	0.310	0.412	0.480	-0.102	0.383	0.555	0.862	0.674	0.959	0.718	0.778
NorESM2-MM_BARPA	[-]	0.447	0.394	0.423	0.458	-0.0290	0.260	0.631	0.938	0.768	0.941	0.965	0.876
NorESM2-MM_CCAM	[-]	0.525	0.528	0.426	0.525	0.102	0.250	0.799	0.892	0.788	0.920	0.978	0.873
NorESM2-MM_CMIP6	[-]	0.671	0.603	0.412	0.694	0.192	0.359	0.778	0.797	0.705	0.931	0.989	0.825

	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	[-]	0.276
ACCESS-CM2_BARPA	[-]	0.320	0.320	0.277	0.0429	0.156	0.972	0.927	0.773	0.903	0.996	0.874
ACCESS-CM2_CCAM	[-]	0.339	0.339	0.277	0.0623	0.171	1.07	0.896	0.762	0.884	0.983	0.857
ACCESS-CM2_CMIP6	[-]	0.373	0.373	0.274	0.0989	0.183	0.842	0.805	0.719	0.925	0.940	0.822
ACCESS-ESM1-5_BARPA	[-]	0.326	0.326	0.277	0.0488	0.162	1.14	0.916	0.768	0.879	0.953	0.857
ACCESS-ESM1-5_CCAM	[-]	0.368	0.368	0.277	0.0914	0.197	1.18	0.853	0.745	0.869	0.986	0.840
ACCESS-ESM1-5_CMIP6	[-]	0.413	0.413	0.281	0.132	0.257	0.774	0.755	0.635	0.949	0.812	0.757
CESM2_BARPA	[-]	0.307	0.307	0.277	0.0297	0.162	1.20	0.946	0.760	0.856	0.997	0.864
CESM2_CCAM	[-]	0.245	0.245	0.277	-0.0319	0.140	1.11	0.946	0.793	0.880	0.963	0.875
CESM2_CMIP6	[-]	0.405	0.405	0.278	0.127	0.223	1.33	0.771	0.697	0.836	0.999	0.800
CMCC-ESM2_BARPA	[-]	0.285	0.285	0.277	0.00829	0.170	1.13	0.972	0.746	0.863	0.999	0.865
CMCC-ESM2_CCAM	[-]	0.390	0.390	0.277	0.114	0.238	1.16	0.820	0.700	0.866	0.980	0.813
CMCC-ESM2_CMIP6	[-]	0.440	0.440	0.278	0.161	0.250	0.778	0.718	0.680	0.917	0.998	0.799
CNRM-ESM2-1_CCAM	[-]	0.332	0.332	0.277	0.0553	0.169	1.05	0.907	0.764	0.891	0.986	0.862
CNRM-ESM2-1_CMIP6	[-]	0.254	0.254	0.276	-0.0223	0.145	1.62	0.897	0.754	0.787	0.606	0.759
EC-Earth3_BARPA	[-]	0.226	0.226	0.277	-0.0511	0.140	1.01	0.916	0.800	0.897	0.927	0.868
EC-Earth3_CCAM	[-]	0.303	0.303	0.277	0.0258	0.194	1.31	0.949	0.720	0.852	0.965	0.841
EC-Earth3_CMIP6	[-]	0.223	0.223	0.277	-0.0538	0.138	0.970	0.899	0.788	0.906	0.981	0.873
ERA5_BARPA	[-]	0.302	0.302	0.277	0.0252	0.175	1.51	0.953	0.742	0.804	0.997	0.847
ERA5_CCAM	[-]	0.358	0.358	0.277	0.0812	0.178	1.46	0.868	0.762	0.815	0.973	0.836
MPI-ESM1-2-HR_BARPA	[-]	0.197	0.197	0.277	-0.0799	0.163	1.19	0.871	0.783	0.857	0.958	0.851
MPI-ESM1-2-HR_CMIP6	[-]	0.132	0.132	0.281	-0.148	0.193	1.86	0.744	0.785	0.758	0.987	0.812
NorESM2-MM_BARPA	[-]	0.321	0.321	0.277	0.0441	0.214	1.99	0.924	0.696	0.709	0.993	0.803
NorESM2-MM_CCAM	[-]	0.352	0.352	0.277	0.0756	0.173	1.05	0.876	0.767	0.892	0.927	0.846
NorESM2-MM_CMIP6	[-]	0.424	0.424	0.278	0.146	0.224	1.67	0.741	0.709	0.781	0.955	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	[-]	0.295
ACCESS-CM2_BARPA	[-]	0.332	0.332	0.295	0.0366	0.143	0.926	0.940	0.809	0.902	0.998	0.892
ACCESS-CM2_CCAM	[-]	0.320	0.320	0.295	0.0253	0.141	0.942	0.932	0.818	0.906	0.887	0.872
ACCESS-CM2_CMIP6	[-]	0.344	0.344	0.331	0.0139	0.188	1.00	0.888	0.741	0.864	0.392	0.725
ACCESS-ESM1-5_BARPA	[-]	0.358	0.358	0.295	0.0627	0.173	0.955	0.904	0.782	0.894	0.997	0.872
ACCESS-ESM1-5_CCAM	[-]	0.380	0.380	0.295	0.0854	0.169	0.903	0.868	0.805	0.914	0.916	0.862
ACCESS-ESM1-5_CMIP6	[-]	0.423	0.423	0.286	0.137	0.280	0.763	0.764	0.622	0.951	0.995	0.791
CESM2_BARPA	[-]	0.327	0.327	0.295	0.0315	0.167	1.01	0.948	0.780	0.902	0.995	0.881
CESM2_CCAM	[-]	0.311	0.311	0.295	0.0160	0.158	1.03	0.960	0.792	0.897	0.997	0.887
CESM2_CMIP6	[-]	0.436	0.436	0.290	0.146	0.264	1.05	0.766	0.670	0.902	0.877	0.777
CMCC-ESM2_BARPA	[-]	0.281	0.281	0.295	-0.0145	0.157	1.06	0.964	0.789	0.894	0.983	0.884
CMCC-ESM2_CCAM	[-]	0.357	0.357	0.295	0.0622	0.172	1.01	0.902	0.782	0.894	0.993	0.871
CMCC-ESM2_CMIP6	[-]	0.499	0.499	0.290	0.208	0.363	0.410	0.688	0.586	0.960	0.593	0.683
CNRM-ESM2-1_CCAM	[-]	0.343	0.343	0.295	0.0479	0.170	1.01	0.912	0.786	0.898	0.795	0.835
CNRM-ESM2-1_CMIP6	[-]	0.277	0.277	0.293	-0.0162	0.162	1.26	0.940	0.742	0.864	0.945	0.847
EC-Earth3_BARPA	[-]	0.255	0.255	0.295	-0.0407	0.141	0.735	0.936	0.814	0.938	0.989	0.898
EC-Earth3_CCAM	[-]	0.322	0.322	0.295	0.0273	0.165	1.15	0.940	0.782	0.864	0.966	0.867
EC-Earth3_CMIP6	[-]	0.295	0.295	0.292	0.00389	0.135	0.664	0.949	0.802	0.954	0.878	0.877
ERA5_BARPA	[-]	0.325	0.325	0.295	0.0298	0.166	1.29	0.950	0.781	0.845	0.994	0.870
ERA5_CCAM	[-]	0.368	0.368	0.295	0.0730	0.168	1.05	0.887	0.797	0.882	0.945	0.861
MPI-ESM1-2-HR_BARPA	[-]	0.213	0.213	0.295	-0.0823	0.161	0.666	0.880	0.809	0.931	0.977	0.881
MPI-ESM1-2-HR_CMIP6	[-]	0.115	0.115	0.299	-0.184	0.238	1.05	0.727	0.774	0.891	0.697	0.773
NorESM2-MM_BARPA	[-]	0.333	0.333	0.295	0.0377	0.187	1.04	0.940	0.755	0.890	0.997	0.867
NorESM2-MM_CCAM	[-]	0.363	0.363	0.295	0.0684	0.185	0.821	0.889	0.772	0.932	0.799	0.833
NorESM2-MM_CMIP6	[-]	0.437	0.437	0.290	0.146	0.232	0.646	0.763	0.720	0.958	0.967	0.826

	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	[-]	0.446
ACCESS-CM2_BARPA	[-]	0.465	0.465	0.447	0.0184	0.248	0.800	0.959	0.741	0.934	0.998	0.875
ACCESS-CM2_CCAM	[-]	0.442	0.442	0.446	-0.00424	0.235	1.09	0.953	0.754	0.892	0.933	0.857
ACCESS-CM2_CMIP6	[-]	0.455	0.455	0.459	-0.00370	0.244	0.996	0.951	0.703	0.935	0.805	0.819
ACCESS-ESM1-5_BARPA	[-]	0.469	0.469	0.447	0.0226	0.245	0.900	0.957	0.742	0.919	0.996	0.871
ACCESS-ESM1-5_CCAM	[-]	0.499	0.499	0.446	0.0522	0.236	1.37	0.930	0.756	0.842	0.996	0.856
ACCESS-ESM1-5_CMIP6	[-]	0.514	0.514	0.427	0.0874	0.341	1.25	0.859	0.575	0.861	0.991	0.772
CESM2_BARPA	[-]	0.488	0.488	0.447	0.0414	0.285	1.03	0.946	0.710	0.893	0.995	0.851
CESM2_CCAM	[-]	0.402	0.402	0.446	-0.0443	0.185	0.958	0.945	0.805	0.916	0.997	0.893
CESM2_CMIP6	[-]	0.593	0.593	0.437	0.156	0.288	1.10	0.793	0.701	0.904	0.890	0.798
CMCC-ESM2_BARPA	[-]	0.497	0.497	0.447	0.0507	0.344	1.49	0.938	0.660	0.823	0.977	0.812
CMCC-ESM2_CCAM	[-]	0.549	0.549	0.446	0.103	0.292	1.13	0.876	0.716	0.883	0.977	0.834
CMCC-ESM2_CMIP6	[-]	0.663	0.663	0.437	0.226	0.363	1.21	0.715	0.660	0.857	0.777	0.733
CNRM-ESM2-1_CCAM	[-]	0.439	0.439	0.446	-0.00740	0.229	1.21	0.955	0.759	0.878	0.961	0.862
CNRM-ESM2-1_CMIP6	[-]	0.491	0.491	0.452	0.0388	0.215	0.983	0.878	0.748	0.937	0.941	0.850
EC-Earth3_BARPA	[-]	0.435	0.435	0.447	-0.0112	0.217	0.682	0.962	0.771	0.937	0.961	0.880
EC-Earth3_CCAM	[-]	0.459	0.459	0.446	0.0127	0.238	1.47	0.960	0.749	0.818	0.992	0.853
EC-Earth3_CMIP6	[-]	0.454	0.454	0.448	0.00624	0.238	0.762	0.937	0.730	0.950	0.754	0.820
ERA5_BARPA	[-]	0.482	0.482	0.447	0.0351	0.248	1.30	0.952	0.743	0.856	0.993	0.858
ERA5_CCAM	[-]	0.495	0.495	0.446	0.0486	0.191	0.912	0.934	0.800	0.890	0.976	0.880
MPI-ESM1-2-HR_BARPA	[-]	0.349	0.349	0.447	-0.0975	0.215	0.448	0.887	0.794	0.958	0.975	0.881
MPI-ESM1-2-HR_CMIP6	[-]	0.280	0.280	0.444	-0.164	0.249	0.503	0.788	0.778	0.948	0.960	0.850
NorESM2-MM_BARPA	[-]	0.511	0.511	0.447	0.0645	0.289	1.28	0.920	0.707	0.811	0.997	0.828
NorESM2-MM_CCAM	[-]	0.456	0.456	0.446	0.00928	0.204	0.862	0.948	0.784	0.916	0.954	0.877
NorESM2-MM_CMIP6	[-]	0.572	0.572	0.437	0.135	0.254	0.886	0.818	0.731	0.929	0.926	0.827

	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	[-]	0.257
ACCESS-CM2_BARPA	[-]	0.278	0.277	0.258	0.321	0.0196	0.220	0.879	0.954	0.741	0.929	0.933	0.860
ACCESS-CM2_CCAM	[-]	0.281	0.280	0.257	0.336	0.0231	0.171	0.561	0.931	0.803	0.955	0.913	0.881
ACCESS-CM2_CMIP6	[-]	0.315	0.315	0.269		0.0454	0.231	0.518	0.893	0.711	0.961	0.287	0.713
ACCESS-ESM1-5_BARPA	[-]	0.312	0.312	0.258	0.367	0.0542	0.157	0.342	0.918	0.819	0.977	0.959	0.898
ACCESS-ESM1-5_CCAM	[-]	0.359	0.359	0.257	0.432	0.101	0.220	0.711	0.855	0.772	0.944	0.981	0.865
ACCESS-ESM1-5_CMIP6	[-]	0.388	0.388	0.268		0.119	0.271	0.492	0.824	0.687	0.968	0.974	0.828
CESM2_BARPA	[-]	0.237	0.237	0.258	0.277	-0.0209	0.150	0.610	0.962	0.817	0.957	0.837	0.878
CESM2_CCAM	[-]	0.236	0.235	0.257	0.316	-0.0219	0.185	0.740	0.953	0.780	0.945	0.982	0.888
CESM2_CMIP6	[-]	0.367	0.367	0.259		0.108	0.288	0.656	0.840	0.658	0.955	0.974	0.817
CMCC-ESM2_BARPA	[-]	0.215	0.214	0.258	0.270	-0.0434	0.181	0.625	0.941	0.784	0.949	0.882	0.868
CMCC-ESM2_CCAM	[-]	0.334	0.333	0.257	0.430	0.0758	0.212	0.602	0.888	0.763	0.960	0.980	0.871
CMCC-ESM2_CMIP6	[-]	0.470	0.470	0.259		0.210	0.474	0.580	0.717	0.512	0.963	0.985	0.738
CNRM-ESM2-1_CCAM	[-]	0.325	0.324	0.257	0.409	0.0668	0.182	0.450	0.894	0.801	0.968	0.981	0.889
CNRM-ESM2-1_CMIP6	[-]	0.214	0.214	0.269		-0.0544	0.183	0.466	0.894	0.772	0.965	0.843	0.849
EC-Earth3_BARPA	[-]	0.239	0.239	0.258	0.316	-0.0191	0.142	0.520	0.959	0.826	0.965	0.984	0.912
EC-Earth3_CCAM	[-]	0.326	0.325	0.257	0.441	0.0678	0.200	0.394	0.900	0.779	0.971	0.985	0.883
EC-Earth3_CMIP6	[-]	0.316	0.316	0.257		0.0585	0.194	0.508	0.915	0.767	0.967	0.895	0.862
ERA5_BARPA	[-]	0.290	0.290	0.258	0.353	0.0321	0.211	0.919	0.945	0.749	0.922	0.971	0.867
ERA5_CCAM	[-]	0.357	0.356	0.257	0.452	0.0987	0.202	0.399	0.863	0.786	0.970	0.992	0.879
MPI-ESM1-2-HR_BARPA	[-]	0.195	0.194	0.258	0.265	-0.0636	0.175	0.570	0.913	0.804	0.963	0.967	0.890
MPI-ESM1-2-HR_CMIP6	[-]	0.113	0.113	0.262		-0.149	0.252	0.594	0.793	0.740	0.962	0.958	0.839
NorESM2-MM_BARPA	[-]	0.280	0.280	0.258	0.350	0.0222	0.172	0.641	0.957	0.787	0.935	0.958	0.885
NorESM2-MM_CCAM	[-]	0.382	0.382	0.257	0.472	0.124	0.226	0.434	0.836	0.770	0.972	0.983	0.866
NorESM2-MM_CMIP6	[-]	0.431	0.431	0.259		0.171	0.307	0.453	0.761	0.667	0.971	0.978	0.809

	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	[-]	0.316
ACCESS-CM2_BARPA	[-]	0.371	0.368	0.316	0.398	0.0518	0.225	0.597	0.916	0.770	0.956	0.908	0.864
ACCESS-CM2_CCAM	[-]	0.397	0.396	0.316	0.409	0.0796	0.218	0.560	0.888	0.791	0.959	0.710	0.828
ACCESS-CM2_CMIP6	[-]	0.394	0.394	0.321		0.0729	0.316	0.748	0.889	0.657	0.921	0.918	0.809
ACCESS-ESM1-5_BARPA	[-]	0.368	0.365	0.316	0.389	0.0489	0.199	0.570	0.919	0.791	0.959	0.900	0.872
ACCESS-ESM1-5_CCAM	[-]	0.408	0.404	0.316	0.432	0.0880	0.213	0.595	0.889	0.793	0.956	0.950	0.877
ACCESS-ESM1-5_CMIP6	[-]	0.410	0.410	0.312		0.0978	0.268	0.460	0.866	0.700	0.970	0.959	0.839
CESM2_BARPA	[-]	0.292	0.291	0.316	0.304	-0.0252	0.184	0.555	0.957	0.800	0.960	0.875	0.878
CESM2_CCAM	[-]	0.256	0.248	0.316	0.314	-0.0681	0.209	0.661	0.913	0.786	0.947	0.993	0.885
CESM2_CMIP6	[-]	0.387	0.387	0.318		0.0684	0.248	0.527	0.907	0.720	0.962	0.993	0.861
CMCC-ESM2_BARPA	[-]	0.308	0.306	0.316	0.317	-0.00988	0.226	0.649	0.943	0.760	0.952	0.867	0.856
CMCC-ESM2_CCAM	[-]	0.477	0.475	0.316	0.496	0.159	0.302	0.646	0.811	0.723	0.953	0.880	0.818
CMCC-ESM2_CMIP6	[-]	0.584	0.584	0.318		0.266	0.539	0.563	0.686	0.521	0.958	0.934	0.724
CNRM-ESM2-1_CCAM	[-]	0.453	0.449	0.316	0.486	0.133	0.276	0.659	0.840	0.738	0.948	0.927	0.838
CNRM-ESM2-1_CMIP6	[-]	0.210	0.210	0.312		-0.103	0.213	0.479	0.863	0.773	0.966	0.987	0.872
EC-Earth3_BARPA	[-]	0.329	0.326	0.316	0.353	0.00955	0.155	0.564	0.955	0.829	0.958	0.913	0.897
EC-Earth3_CCAM	[-]	0.440	0.434	0.316	0.481	0.118	0.262	0.596	0.857	0.747	0.956	0.975	0.856
EC-Earth3_CMIP6	[-]	0.434	0.433	0.318	0.498	0.116	0.300	0.570	0.854	0.690	0.959	0.992	0.837
ERA5_BARPA	[-]	0.362	0.359	0.316	0.386	0.0431	0.208	0.683	0.929	0.780	0.944	0.914	0.869
ERA5_CCAM	[-]	0.449	0.445	0.316	0.481	0.128	0.254	0.610	0.847	0.761	0.955	0.995	0.864
MPI-ESM1-2-HR_BARPA	[-]	0.294	0.290	0.316	0.333	-0.0266	0.177	0.607	0.949	0.809	0.957	0.874	0.880
MPI-ESM1-2-HR_CMIP6	[-]	0.201	0.198	0.315	0.372	-0.116	0.236	0.614	0.847	0.766	0.958	0.967	0.861
NorESM2-MM_BARPA	[-]	0.362	0.360	0.316	0.378	0.0436	0.233	0.533	0.929	0.752	0.956	0.907	0.859
NorESM2-MM_CCAM	[-]	0.425	0.421	0.316	0.463	0.104	0.210	0.602	0.869	0.800	0.954	0.894	0.863
NorESM2-MM_CMIP6	[-]	0.468	0.468	0.318		0.150	0.282	0.563	0.811	0.721	0.958	0.976	0.837

	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	[-]	0.284
ACCESS-CM2_BARPA	[-]	0.327	0.327	0.284	0.0425	0.178	2.57	0.926	0.736	0.602	0.988	0.797
ACCESS-CM2_CCAM	[-]	0.308	0.308	0.284	0.0241	0.164	2.28	0.936	0.755	0.656	0.993	0.819
ACCESS-CM2_CMIP6	[-]	0.355	0.355	0.286	0.0695	0.207	2.16	0.857	0.660	0.674	0.994	0.769
ACCESS-ESM1-5_BARPA	[-]	0.295	0.295	0.284	0.0111	0.155	1.95	0.967	0.763	0.727	0.998	0.844
ACCESS-ESM1-5_CCAM	[-]	0.277	0.277	0.284	-0.00631	0.169	2.41	0.956	0.747	0.638	0.994	0.816
ACCESS-ESM1-5_CMIP6	[-]	0.344	0.344	0.294	0.0495	0.258	1.73	0.858	0.597	0.755	0.868	0.735
CESM2_BARPA	[-]	0.316	0.316	0.284	0.0324	0.162	1.61	0.943	0.757	0.774	0.976	0.842
CESM2_CCAM	[-]	0.236	0.236	0.284	-0.0475	0.161	1.88	0.913	0.769	0.731	0.989	0.834
CESM2_CMIP6	[-]	0.375	0.375	0.291	0.0847	0.238	1.72	0.835	0.640	0.773	0.985	0.775
CMCC-ESM2_BARPA	[-]	0.298	0.298	0.284	0.0143	0.171	2.57	0.968	0.739	0.596	0.996	0.807
CMCC-ESM2_CCAM	[-]	0.368	0.368	0.284	0.0840	0.199	2.11	0.855	0.738	0.684	0.992	0.802
CMCC-ESM2_CMIP6	[-]	0.373	0.373	0.291	0.0826	0.200	1.49	0.833	0.711	0.799	0.983	0.807
CNRM-ESM2-1_CCAM	[-]	0.290	0.290	0.284	0.00648	0.157	1.82	0.958	0.761	0.742	0.964	0.837
CNRM-ESM2-1_CMIP6	[-]	0.283	0.283	0.290	-0.00696	0.139	1.48	0.928	0.753	0.785	0.919	0.828
EC-Earth3_BARPA	[-]	0.245	0.245	0.284	-0.0391	0.148	1.86	0.933	0.779	0.746	0.985	0.844
EC-Earth3_CCAM	[-]	0.274	0.274	0.284	-0.00992	0.168	1.92	0.972	0.748	0.721	0.972	0.832
EC-Earth3_CMIP6	[-]	0.242	0.242	0.288	-0.0457	0.204	2.26	0.909	0.681	0.652	0.996	0.784
ERA5_BARPA	[-]	0.319	0.319	0.284	0.0353	0.148	1.96	0.934	0.778	0.713	0.998	0.840
ERA5_CCAM	[-]	0.317	0.317	0.284	0.0333	0.143	2.04	0.927	0.788	0.699	0.982	0.837
MPI-ESM1-2-HR_BARPA	[-]	0.271	0.271	0.284	-0.0132	0.158	2.23	0.956	0.761	0.648	0.987	0.823
MPI-ESM1-2-HR_CMIP6	[-]	0.182	0.182	0.282	-0.100	0.164	2.94	0.810	0.768	0.514	0.991	0.770
NorESM2-MM_BARPA	[-]	0.348	0.348	0.284	0.0637	0.191	2.73	0.892	0.726	0.560	0.977	0.776
NorESM2-MM_CCAM	[-]	0.339	0.339	0.284	0.0556	0.173	2.08	0.900	0.750	0.686	0.991	0.816
NorESM2-MM_CMIP6	[-]	0.401	0.401	0.291	0.111	0.209	2.09	0.789	0.701	0.687	0.932	0.762

	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	[-]	0.151
ACCESS-CM2_BARPA	[-]	0.218	0.216	0.151	0.223	0.0651	0.149	0.816	0.868	0.761	0.918	0.981	0.858
ACCESS-CM2_CCAM	[-]	0.247	0.243	0.151	0.253	0.0925	0.163	1.07	0.823	0.762	0.879	0.966	0.838
ACCESS-CM2_CMIP6	[-]	0.237	0.236	0.147	0.242	0.0890	0.170	0.752	0.804	0.714	0.925	0.966	0.825
ACCESS-ESM1-5_BARPA	[-]	0.217	0.216	0.151	0.219	0.0656	0.145	0.831	0.870	0.765	0.920	0.972	0.859
ACCESS-ESM1-5_CCAM	[-]	0.234	0.242	0.151	0.219	0.0914	0.161	0.982	0.827	0.768	0.893	0.803	0.812
ACCESS-ESM1-5_CMIP6	[-]	0.246	0.249	0.146	0.218	0.103	0.207	0.872	0.779	0.654	0.910	0.887	0.777
CESM2_BARPA	[-]	0.177	0.180	0.151	0.171	0.0292	0.130	1.16	0.927	0.769	0.869	0.965	0.860
CESM2_CCAM	[-]	0.117	0.125	0.151	0.101	-0.0256	0.130	1.28	0.948	0.769	0.840	0.970	0.859
CESM2_CMIP6	[-]	0.236	0.242	0.148	0.207	0.0940	0.203	0.925	0.795	0.667	0.913	0.889	0.786
CMCC-ESM2_BARPA	[-]	0.175	0.171	0.151	0.181	0.0208	0.152	1.85	0.943	0.733	0.723	0.931	0.812
CMCC-ESM2_CCAM	[-]	0.314	0.305	0.151	0.331	0.154	0.242	1.63	0.721	0.680	0.757	0.956	0.759
CMCC-ESM2_CMIP6	[-]	0.368	0.362	0.148	0.398	0.214	0.353	0.996	0.609	0.552	0.890	0.697	0.660
CNRM-ESM2-1_CCAM	[-]	0.253	0.250	0.151	0.257	0.0997	0.176	1.10	0.812	0.745	0.874	0.919	0.819
CNRM-ESM2-1_CMIP6	[-]	0.108	0.111	0.149	0.0899	-0.0373	0.112	0.809	0.921	0.786	0.914	0.649	0.811
EC-Earth3_BARPA	[-]	0.141	0.142	0.151	0.139	-0.00867	0.107	0.911	0.960	0.803	0.909	0.989	0.893
EC-Earth3_CCAM	[-]	0.221	0.222	0.151	0.219	0.0712	0.164	0.960	0.863	0.739	0.899	0.902	0.829
EC-Earth3_CMIP6	[-]	0.175	0.176	0.149	0.172	0.0270	0.152	0.653	0.920	0.727	0.947	0.843	0.833
ERA5_BARPA	[-]	0.203	0.201	0.151	0.207	0.0507	0.154	1.44	0.895	0.741	0.813	0.990	0.836
ERA5_CCAM	[-]	0.246	0.249	0.151	0.239	0.0985	0.173	1.24	0.815	0.748	0.846	0.864	0.804
MPI-ESM1-2-HR_BARPA	[-]	0.136	0.132	0.151	0.143	-0.0182	0.115	0.823	0.951	0.794	0.923	0.893	0.871
MPI-ESM1-2-HR_CMIP6	[-]	0.0674	0.0677	0.148	0.0664	-0.0807	0.146	1.04	0.829	0.769	0.889	0.905	0.832
NorESM2-MM_BARPA	[-]	0.219	0.214	0.151	0.230	0.0636	0.197	2.77	0.870	0.679	0.550	0.957	0.747
NorESM2-MM_CCAM	[-]	0.279	0.279	0.151	0.281	0.128	0.198	1.10	0.761	0.736	0.866	0.988	0.817
NorESM2-MM_CMIP6	[-]	0.306	0.310	0.148	0.286	0.162	0.249	0.851	0.679	0.650	0.918	0.985	0.776

	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	[-]	0.150
ACCESS-CM2_BARPA	[-]	0.192	0.191	0.149	0.196	0.0416	0.143	1.39	0.904	0.742	0.824	0.815	0.806
ACCESS-CM2_CCAM	[-]	0.175	0.176	0.149	0.172	0.0268	0.130	1.56	0.920	0.763	0.795	0.894	0.827
ACCESS-CM2_CMIP6	[-]	0.192	0.192	0.150	0.191	0.0418	0.147	1.17	0.888	0.702	0.860	0.844	0.799
ACCESS-ESM1-5_BARPA	[-]	0.177	0.173	0.149	0.186	0.0241	0.130	0.964	0.931	0.757	0.897	0.934	0.855
ACCESS-ESM1-5_CCAM	[-]	0.137	0.138	0.149	0.135	-0.0119	0.128	1.88	0.938	0.762	0.734	0.956	0.831
ACCESS-ESM1-5_CMIP6	[-]	0.192	0.190	0.151	0.210	0.0390	0.176	1.68	0.888	0.645	0.776	0.975	0.786
CESM2_BARPA	[-]	0.158	0.156	0.149	0.164	0.00703	0.117	1.37	0.951	0.775	0.832	0.967	0.860
CESM2_CCAM	[-]	0.106	0.112	0.149	0.0939	-0.0379	0.152	3.17	0.921	0.727	0.466	0.785	0.725
CESM2_CMIP6	[-]	0.180	0.178	0.150	0.188	0.0283	0.130	0.874	0.893	0.743	0.917	0.943	0.848
CMCC-ESM2_BARPA	[-]	0.168	0.164	0.149	0.178	0.0152	0.155	2.67	0.946	0.712	0.552	0.936	0.772
CMCC-ESM2_CCAM	[-]	0.259	0.256	0.149	0.268	0.106	0.177	1.96	0.786	0.734	0.704	0.942	0.780
CMCC-ESM2_CMIP6	[-]	0.253	0.254	0.150	0.247	0.105	0.186	1.09	0.769	0.693	0.862	0.871	0.777
CNRM-ESM2-1_CCAM	[-]	0.195	0.199	0.149	0.187	0.0493	0.126	1.23	0.887	0.779	0.854	0.908	0.841
CNRM-ESM2-1_CMIP6	[-]	0.115	0.116	0.144	0.107	-0.0275	0.0965	0.872	0.932	0.791	0.888	0.779	0.836
EC-Earth3_BARPA	[-]	0.120	0.127	0.149	0.106	-0.0227	0.0960	1.01	0.949	0.816	0.880	0.794	0.851
EC-Earth3_CCAM	[-]	0.150	0.157	0.149	0.134	0.00704	0.109	1.04	0.945	0.793	0.877	0.900	0.862
EC-Earth3_CMIP6	[-]	0.122	0.126	0.149	0.108	-0.0234	0.120	0.867	0.929	0.760	0.901	0.904	0.851
ERA5_BARPA	[-]	0.195	0.194	0.149	0.198	0.0443	0.121	1.27	0.902	0.783	0.843	0.955	0.853
ERA5_CCAM	[-]	0.168	0.170	0.149	0.161	0.0210	0.109	1.16	0.932	0.798	0.853	0.963	0.869
MPI-ESM1-2-HR_BARPA	[-]	0.135	0.136	0.149	0.134	-0.0136	0.114	1.04	0.962	0.779	0.877	0.778	0.835
MPI-ESM1-2-HR_CMIP6	[-]	0.0608	0.0639	0.151	0.0504	-0.0872	0.139	1.90	0.808	0.772	0.722	0.662	0.747
NorESM2-MM_BARPA	[-]	0.206	0.203	0.149	0.213	0.0534	0.161	2.18	0.884	0.715	0.684	0.931	0.786
NorESM2-MM_CCAM	[-]	0.226	0.221	0.149	0.237	0.0720	0.165	1.87	0.845	0.727	0.723	0.888	0.782
NorESM2-MM_CMIP6	[-]	0.254	0.250	0.150	0.272	0.100	0.186	1.98	0.773	0.690	0.709	0.983	0.769

	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	[-]	0.450
ACCESS-CM2_BARPA	[-]	0.499	0.499	0.452	0.0462	0.235	2.22	0.909	0.733	0.648	0.802	0.765
ACCESS-CM2_CCAM	[-]	0.474	0.474	0.450	0.0239	0.193	2.26	0.922	0.777	0.647	0.952	0.815
ACCESS-CM2_CMIP6	[-]	0.587	0.587	0.543	0.0434	0.204	4.58	0.928	0.709	0.156	0.996	0.700
ACCESS-ESM1-5_BARPA	[-]	0.453	0.453	0.452	0.000582	0.213	1.70	0.918	0.761	0.758	0.769	0.793
ACCESS-ESM1-5_CCAM	[-]	0.454	0.454	0.450	0.00406	0.212	1.89	0.925	0.755	0.743	0.907	0.817
ACCESS-ESM1-5_CMIP6	[-]	0.413	0.413	0.464	-0.0512	0.168	0.00	0.917	0.762	1.00	1.00	0.888
CESM2_BARPA	[-]	0.509	0.509	0.452	0.0564	0.248	1.77	0.883	0.727	0.757	0.657	0.750
CESM2_CCAM	[-]	0.549	0.549	0.450	0.0982	0.268	2.22	0.866	0.719	0.659	0.776	0.748
CESM2_CMIP6	[-]	0.614	0.614	0.445	0.169	0.304	3.59	0.746	0.660	0.402	0.974	0.688
CMCC-ESM2_BARPA	[-]	0.470	0.470	0.452	0.0180	0.221	1.83	0.932	0.743	0.757	0.832	0.802
CMCC-ESM2_CCAM	[-]	0.552	0.552	0.450	0.102	0.244	2.24	0.865	0.738	0.667	0.997	0.801
CMCC-ESM2_CMIP6	[-]	0.536	0.536	0.445	0.0910	0.237	2.04	0.853	0.689	0.714	0.424	0.674
CNRM-ESM2-1_CCAM	[-]	0.443	0.443	0.450	-0.00732	0.193	1.83	0.933	0.775	0.729	0.980	0.838
CNRM-ESM2-1_CMIP6	[-]	0.606	0.606	0.457	0.149	0.263	0.522	0.787	0.705	0.965	0.0185	0.636
EC-Earth3_BARPA	[-]	0.441	0.441	0.452	-0.0112	0.221	1.96	0.954	0.735	0.712	0.982	0.824
EC-Earth3_CCAM	[-]	0.489	0.489	0.450	0.0385	0.212	1.85	0.918	0.757	0.730	0.995	0.832
EC-Earth3_CMIP6	[-]	0.511	0.511	0.451	0.0601	0.318	4.07	0.856	0.621	0.361	0.164	0.525
ERA5_BARPA	[-]	0.491	0.491	0.452	0.0383	0.204	1.78	0.928	0.760	0.737	0.906	0.818
ERA5_CCAM	[-]	0.463	0.463	0.450	0.0128	0.172	1.96	0.939	0.796	0.718	0.993	0.849
MPI-ESM1-2-HR_BARPA	[-]	0.463	0.463	0.452	0.0107	0.241	1.80	0.916	0.726	0.749	0.763	0.776
MPI-ESM1-2-HR_CMIP6	[-]	0.508	0.508	0.444	0.0640	0.265	2.74	0.763	0.698	0.578	0.00260	0.548
NorESM2-MM_BARPA	[-]	0.528	0.528	0.452	0.0753	0.238	2.04	0.885	0.738	0.688	0.796	0.769
NorESM2-MM_CCAM	[-]	0.485	0.485	0.450	0.0345	0.205	2.38	0.917	0.764	0.633	0.916	0.799
NorESM2-MM_CMIP6	[-]	0.560	0.560	0.445	0.115	0.278	4.57	0.819	0.661	0.249	0.810	0.640

	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	[-]	0.790
ACCESS-CM2_BARPA	[-]	0.879	0.879	0.785	0.0946	0.359	0.922	0.908	0.720	0.900	0.973	0.844
ACCESS-CM2_CCAM	[-]	0.748	0.748	0.788	-0.0395	0.266	0.880	0.944	0.780	0.894	0.999	0.879
ACCESS-CM2_CMIP6	[-]	0.728	0.728	0.854	-0.126	0.284	0.00	0.867	0.750	1.00	1.00	0.873
ACCESS-ESM1-5_BARPA	[-]	0.858	0.858	0.785	0.0737	0.368	0.795	0.920	0.713	0.917	0.944	0.842
ACCESS-ESM1-5_CCAM	[-]	0.816	0.816	0.788	0.0279	0.345	0.956	0.944	0.726	0.910	0.937	0.849
ACCESS-ESM1-5_CMIP6	[-]	0.595	0.595	0.667	-0.0716	0.240	3.58	0.910	0.735	0.367	0.777	0.705
CESM2_BARPA	[-]	0.895	0.895	0.785	0.110	0.374	1.13	0.894	0.713	0.862	0.970	0.831
CESM2_CCAM	[-]	0.907	0.907	0.788	0.119	0.468	0.790	0.885	0.651	0.913	0.977	0.815
CESM2_CMIP6	[-]	0.778	0.778	0.756	0.0224	0.228	3.07	0.955	0.767	0.494	0.841	0.765
CMCC-ESM2_BARPA	[-]	0.842	0.842	0.785	0.0569	0.364	0.981	0.924	0.715	0.899	0.959	0.842
CMCC-ESM2_CCAM	[-]	0.778	0.778	0.788	-0.0104	0.264	1.03	0.946	0.782	0.890	0.981	0.876
CMCC-ESM2_CMIP6	[-]	0.657	0.657	0.756	-0.0983	0.293	2.04	0.888	0.724	0.665	0.705	0.741
CNRM-ESM2-1_CCAM	[-]	0.765	0.765	0.788	-0.0225	0.326	1.92	0.947	0.741	0.749	0.964	0.829
CNRM-ESM2-1_CMIP6	[-]	0.812	0.812	0.723	0.0893	0.260	2.72	0.885	0.744	0.580	0.997	0.790
EC-Earth3_BARPA	[-]	0.774	0.774	0.785	-0.0112	0.304	1.26	0.943	0.754	0.849	0.990	0.858
EC-Earth3_CCAM	[-]	0.746	0.746	0.788	-0.0418	0.249	0.944	0.945	0.793	0.887	0.998	0.883
EC-Earth3_CMIP6	[-]	0.799	0.799	0.782	0.0167	0.344	1.51	0.947	0.696	0.774	0.999	0.822
ERA5_BARPA	[-]	0.819	0.819	0.785	0.0340	0.260	1.28	0.938	0.785	0.845	0.991	0.869
ERA5_CCAM	[-]	0.700	0.700	0.788	-0.0880	0.229	0.793	0.915	0.821	0.906	0.989	0.891
MPI-ESM1-2-HR_BARPA	[-]	0.899	0.899	0.785	0.114	0.406	0.994	0.892	0.692	0.906	0.923	0.821
MPI-ESM1-2-HR_CMIP6	[-]	0.714	0.714	0.815	-0.100	0.261	1.03	0.905	0.782	0.908	0.992	0.874
NorESM2-MM_BARPA	[-]	0.870	0.870	0.785	0.0856	0.343	0.713	0.913	0.733	0.919	0.993	0.858
NorESM2-MM_CCAM	[-]	0.800	0.800	0.788	0.0125	0.296	0.820	0.954	0.758	0.899	0.992	0.872
NorESM2-MM_CMIP6	[-]	0.764	0.764	0.756	0.00799	0.228	1.36	0.984	0.765	0.872	0.999	0.877

	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	[-]	0.452
ACCESS-CM2_BARPA	[-]	0.474	0.474	0.451	0.0229	0.227	3.12	0.953	0.744	0.492	0.978	0.782
ACCESS-CM2_CCAM	[-]	0.411	0.411	0.452	-0.0406	0.236	3.09	0.934	0.740	0.500	0.902	0.763
ACCESS-CM2_CMIP6	[-]	0.441	0.441	0.451	-0.00971	0.229	3.65	0.961	0.696	0.366	0.725	0.689
ACCESS-ESM1-5_BARPA	[-]	0.423	0.423	0.451	-0.0282	0.247	2.53	0.949	0.724	0.613	0.998	0.801
ACCESS-ESM1-5_CCAM	[-]	0.408	0.408	0.452	-0.0437	0.247	2.88	0.929	0.731	0.554	0.906	0.770
ACCESS-ESM1-5_CMIP6	[-]	0.416	0.416	0.423	-0.00721	0.359	3.65	0.949	0.553	0.366	0.990	0.682
CESM2_BARPA	[-]	0.490	0.490	0.451	0.0393	0.258	2.78	0.937	0.715	0.551	0.971	0.778
CESM2_CCAM	[-]	0.372	0.372	0.452	-0.0802	0.242	2.63	0.901	0.743	0.570	0.994	0.790
CESM2_CMIP6	[-]	0.533	0.533	0.446	0.0876	0.363	2.18	0.869	0.577	0.678	0.245	0.589
CMCC-ESM2_BARPA	[-]	0.493	0.493	0.451	0.0422	0.269	2.82	0.926	0.709	0.562	0.986	0.779
CMCC-ESM2_CCAM	[-]	0.519	0.519	0.452	0.0666	0.286	2.67	0.892	0.699	0.561	0.795	0.729
CMCC-ESM2_CMIP6	[-]	0.613	0.613	0.446	0.168	0.372	3.19	0.759	0.611	0.492	0.772	0.649
CNRM-ESM2-1_CCAM	[-]	0.405	0.405	0.452	-0.0475	0.278	2.96	0.931	0.699	0.537	0.908	0.755
CNRM-ESM2-1_CMIP6	[-]	0.532	0.532	0.489	0.0438	0.348	2.71	0.800	0.579	0.582	0.760	0.660
EC-Earth3_BARPA	[-]	0.423	0.423	0.451	-0.0279	0.224	2.26	0.950	0.748	0.638	0.993	0.815
EC-Earth3_CCAM	[-]	0.426	0.426	0.452	-0.0258	0.234	2.55	0.938	0.744	0.585	0.809	0.764
EC-Earth3_CMIP6	[-]	0.430	0.430	0.441	-0.0111	0.263	2.60	0.931	0.681	0.566	0.926	0.757
ERA5_BARPA	[-]	0.491	0.491	0.451	0.0399	0.222	2.32	0.939	0.751	0.607	0.992	0.808
ERA5_CCAM	[-]	0.465	0.465	0.452	0.0135	0.206	2.94	0.935	0.770	0.527	0.875	0.775
MPI-ESM1-2-HR_BARPA	[-]	0.402	0.402	0.451	-0.0490	0.208	2.34	0.931	0.768	0.612	0.937	0.803
MPI-ESM1-2-HR_CMIP6	[-]	0.349	0.349	0.446	-0.0972	0.231	2.01	0.858	0.726	0.681	0.996	0.797
NorESM2-MM_BARPA	[-]	0.529	0.529	0.451	0.0778	0.260	2.52	0.899	0.722	0.598	0.976	0.783
NorESM2-MM_CCAM	[-]	0.439	0.439	0.452	-0.0131	0.239	2.80	0.944	0.734	0.542	0.967	0.784
NorESM2-MM_CMIP6	[-]	0.542	0.542	0.446	0.0962	0.249	3.52	0.862	0.703	0.452	0.419	0.628

	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	[-]	0.481
ACCESS-CM2_BARPA	[-]	0.512	0.512	0.485	0.0274	0.225	3.21	0.949	0.730	0.446	0.998	0.771
ACCESS-CM2_CCAM	[-]	0.421	0.421	0.482	-0.0604	0.222	3.23	0.921	0.741	0.452	0.792	0.729
ACCESS-CM2_CMIP6	[-]	0.499	0.499	0.513	-0.0139	0.275	3.69	0.950	0.616	0.359	0.969	0.702
ACCESS-ESM1-5_BARPA	[-]	0.460	0.460	0.485	-0.0245	0.202	1.73	0.953	0.754	0.768	0.993	0.844
ACCESS-ESM1-5_CCAM	[-]	0.411	0.411	0.482	-0.0704	0.237	2.96	0.907	0.726	0.517	0.955	0.766
ACCESS-ESM1-5_CMIP6	[-]	0.436	0.436	0.421	0.0157	0.357	1.54	0.970	0.490	0.838	0.979	0.753
CESM2_BARPA	[-]	0.526	0.526	0.485	0.0413	0.202	1.67	0.937	0.759	0.778	0.998	0.846
CESM2_CCAM	[-]	0.465	0.465	0.482	-0.0166	0.284	2.75	0.955	0.673	0.571	0.998	0.774
CESM2_CMIP6	[-]	0.493	0.493	0.469	0.0238	0.204	3.83	0.945	0.697	0.365	0.649	0.671
CMCC-ESM2_BARPA	[-]	0.492	0.492	0.485	0.00699	0.223	2.21	0.958	0.732	0.669	0.998	0.818
CMCC-ESM2_CCAM	[-]	0.465	0.465	0.482	-0.0164	0.180	2.01	0.959	0.779	0.669	0.787	0.795
CMCC-ESM2_CMIP6	[-]	0.450	0.450	0.469	-0.0193	0.171	3.62	0.946	0.742	0.380	0.682	0.698
CNRM-ESM2-1_CCAM	[-]	0.411	0.411	0.482	-0.0705	0.207	2.15	0.907	0.762	0.682	0.896	0.802
CNRM-ESM2-1_CMIP6	[-]	0.444	0.444	0.559	-0.115	0.220	6.05	0.823	0.726	7.41e-05	1.00	0.655
EC-Earth3_BARPA	[-]	0.416	0.416	0.485	-0.0686	0.202	2.17	0.904	0.768	0.677	0.992	0.822
EC-Earth3_CCAM	[-]	0.408	0.408	0.482	-0.0737	0.209	2.03	0.903	0.760	0.720	0.860	0.801
EC-Earth3_CMIP6	[-]	0.420	0.420	0.480	-0.0604	0.296	3.03	0.907	0.622	0.512	0.996	0.732
ERA5_BARPA	[-]	0.501	0.501	0.485	0.0169	0.202	2.22	0.952	0.756	0.654	0.997	0.823
ERA5_CCAM	[-]	0.439	0.439	0.482	-0.0423	0.170	2.64	0.940	0.795	0.605	0.843	0.796
MPI-ESM1-2-HR_BARPA	[-]	0.496	0.496	0.485	0.0116	0.194	1.99	0.963	0.762	0.709	0.995	0.838
MPI-ESM1-2-HR_CMIP6	[-]	0.329	0.329	0.471	-0.142	0.213	3.42	0.787	0.770	0.417	0.991	0.747
NorESM2-MM_BARPA	[-]	0.545	0.545	0.485	0.0607	0.235	2.17	0.914	0.727	0.670	0.998	0.807
NorESM2-MM_CCAM	[-]	0.487	0.487	0.482	0.00543	0.204	2.27	0.958	0.752	0.653	0.904	0.804
NorESM2-MM_CMIP6	[-]	0.513	0.513	0.469	0.0444	0.234	3.43	0.920	0.663	0.404	0.708	0.672

	Download Data	Period Mean (original grids) [d]	Model Period Mean (intersection) [d]	Benchmark Period Mean (intersection) [d]	Bias [d]	RMSE [d]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	0.267
ACCESS-CM2_BARPA	[-]	0.289	0.289	0.265	0.0241	0.176	3.18	0.941	0.722	0.469	0.991	0.769
ACCESS-CM2_CCAM	[-]	0.227	0.227	0.268	-0.0404	0.149	2.72	0.921	0.766	0.565	0.949	0.793
ACCESS-CM2_CMIP6	[-]	0.264	0.264	0.275	-0.0102	0.199	4.06	0.939	0.639	0.282	0.925	0.685
ACCESS-ESM1-5_BARPA	[-]	0.254	0.254	0.265	-0.0112	0.175	2.96	0.960	0.719	0.530	0.997	0.785
ACCESS-ESM1-5_CCAM	[-]	0.206	0.206	0.268	-0.0618	0.171	3.40	0.891	0.742	0.432	0.961	0.753
ACCESS-ESM1-5_CMIP6	[-]	0.252	0.252	0.261	-0.00947	0.201	3.00	0.972	0.628	0.507	0.996	0.746
CESM2_BARPA	[-]	0.282	0.282	0.265	0.0167	0.173	3.23	0.951	0.725	0.486	0.975	0.773
CESM2_CCAM	[-]	0.208	0.208	0.268	-0.0594	0.157	2.06	0.892	0.769	0.705	0.971	0.821
CESM2_CMIP6	[-]	0.276	0.276	0.262	0.0144	0.179	3.60	0.965	0.672	0.421	0.983	0.742
CMCC-ESM2_BARPA	[-]	0.268	0.268	0.265	0.00318	0.188	2.77	0.964	0.700	0.532	0.998	0.779
CMCC-ESM2_CCAM	[-]	0.296	0.296	0.268	0.0278	0.173	2.76	0.935	0.731	0.528	0.786	0.742
CMCC-ESM2_CMIP6	[-]	0.264	0.264	0.262	0.00232	0.143	2.89	0.974	0.730	0.527	0.930	0.778
CNRM-ESM2-1_CCAM	[-]	0.245	0.245	0.268	-0.0225	0.150	2.84	0.946	0.759	0.557	0.891	0.783
CNRM-ESM2-1_CMIP6	[-]	0.194	0.194	0.237	-0.0424	0.121	2.44	0.907	0.770	0.576	0.929	0.790
EC-Earth3_BARPA	[-]	0.209	0.209	0.265	-0.0560	0.156	2.68	0.898	0.766	0.574	0.996	0.800
EC-Earth3_CCAM	[-]	0.220	0.220	0.268	-0.0474	0.172	3.05	0.915	0.735	0.486	0.971	0.768
EC-Earth3_CMIP6	[-]	0.210	0.210	0.271	-0.0612	0.211	3.54	0.879	0.652	0.374	0.994	0.710
ERA5_BARPA	[-]	0.287	0.287	0.265	0.0216	0.142	2.64	0.947	0.770	0.581	0.996	0.813
ERA5_CCAM	[-]	0.251	0.251	0.268	-0.0165	0.132	2.94	0.954	0.786	0.545	0.934	0.801
MPI-ESM1-2-HR_BARPA	[-]	0.249	0.249	0.265	-0.0156	0.151	2.91	0.951	0.756	0.495	0.982	0.788
MPI-ESM1-2-HR_CMIP6	[-]	0.109	0.109	0.266	-0.158	0.201	2.80	0.706	0.763	0.530	0.733	0.699
NorESM2-MM_BARPA	[-]	0.323	0.323	0.265	0.0581	0.179	2.53	0.893	0.726	0.580	0.974	0.780
NorESM2-MM_CCAM	[-]	0.303	0.303	0.268	0.0356	0.178	3.20	0.928	0.726	0.435	0.929	0.749
NorESM2-MM_CMIP6	[-]	0.332	0.332	0.262	0.0701	0.177	3.02	0.853	0.707	0.477	0.961	0.741

	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	[-]	0.290
ACCESS-CM2_BARPA	[-]	0.281	0.281	0.290	0.222	-0.00863	0.203	1.70	0.958	0.712	0.768	0.919	0.814
ACCESS-CM2_CCAM	[-]	0.242	0.242	0.290	0.193	-0.0475	0.145	1.10	0.927	0.798	0.876	0.897	0.859
ACCESS-CM2_CMIP6	[-]	0.257	0.257	0.286		-0.0294	0.227	1.63	0.926	0.626	0.812	0.766	0.751
ACCESS-ESM1-5_BARPA	[-]	0.235	0.235	0.290	0.200	-0.0547	0.189	1.77	0.917	0.739	0.764	0.798	0.791
ACCESS-ESM1-5_CCAM	[-]	0.198	0.198	0.290	0.145	-0.0919	0.176	1.45	0.857	0.782	0.819	0.933	0.835
ACCESS-ESM1-5_CMIP6	[-]	0.215	0.215	0.283		-0.0685	0.239	2.77	0.866	0.618	0.555	0.863	0.704
CESM2_BARPA	[-]	0.273	0.273	0.290	0.191	-0.0164	0.178	2.15	0.954	0.744	0.676	0.991	0.822
CESM2_CCAM	[-]	0.264	0.265	0.290	0.149	-0.0245	0.219	1.94	0.932	0.700	0.731	0.932	0.799
CESM2_CMIP6	[-]	0.237	0.237	0.292		-0.0553	0.168	1.88	0.899	0.734	0.742	0.944	0.811
CMCC-ESM2_BARPA	[-]	0.254	0.255	0.290	0.193	-0.0350	0.187	2.49	0.941	0.737	0.611	0.952	0.795
CMCC-ESM2_CCAM	[-]	0.314	0.315	0.290	0.276	0.0248	0.171	1.91	0.932	0.754	0.725	0.925	0.818
CMCC-ESM2_CMIP6	[-]	0.292	0.292	0.292		0.000491	0.169	1.63	0.934	0.719	0.778	0.637	0.758
CNRM-ESM2-1_CCAM	[-]	0.271	0.271	0.290	0.230	-0.0187	0.162	1.98	0.945	0.768	0.699	0.763	0.788
CNRM-ESM2-1_CMIP6	[-]	0.251	0.251	0.287		-0.0360	0.158	0.863	0.908	0.741	0.905	0.992	0.857
EC-Earth3_BARPA	[-]	0.243	0.244	0.290	0.162	-0.0461	0.184	1.74	0.926	0.745	0.760	0.923	0.820
EC-Earth3_CCAM	[-]	0.263	0.263	0.290	0.187	-0.0266	0.178	1.53	0.947	0.745	0.795	0.936	0.834
EC-Earth3_CMIP6	[-]	0.237	0.237	0.289		-0.0514	0.241	1.64	0.911	0.647	0.769	0.985	0.792
ERA5_BARPA	[-]	0.292	0.293	0.290	0.236	0.00301	0.157	1.81	0.955	0.772	0.721	0.883	0.821
ERA5_CCAM	[-]	0.245	0.245	0.290	0.193	-0.0449	0.136	1.29	0.930	0.808	0.830	0.893	0.854
MPI-ESM1-2-HR_BARPA	[-]	0.247	0.247	0.290	0.164	-0.0424	0.175	1.93	0.930	0.754	0.716	0.968	0.824
MPI-ESM1-2-HR_CMIP6	[-]	0.138	0.138	0.281		-0.143	0.200	1.60	0.758	0.768	0.767	0.685	0.749
NorESM2-MM_BARPA	[-]	0.304	0.305	0.290	0.238	0.0147	0.209	1.29	0.953	0.704	0.868	0.953	0.836
NorESM2-MM_CCAM	[-]	0.248	0.248	0.290	0.222	-0.0418	0.173	1.26	0.936	0.756	0.867	0.825	0.828
NorESM2-MM_CMIP6	[-]	0.271	0.271	0.292		-0.0210	0.174	1.25	0.951	0.710	0.881	0.871	0.825

	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	[-]	0.465
ACCESS-CM2_BARPA	[-]	0.426	0.428	0.463	0.390	-0.0350	0.274	0.561	0.936	0.778	0.959	0.870	0.864
ACCESS-CM2_CCAM	[-]	0.355	0.353	0.464	0.372	-0.111	0.331	0.492	0.893	0.744	0.964	0.984	0.866
ACCESS-CM2_CMIP6	[-]	0.353	0.353	0.456		-0.103	0.345	0.196	0.897	0.691	0.987	0.472	0.748
ACCESS-ESM1-5_BARPA	[-]	0.465	0.467	0.463	0.447	0.00318	0.258	0.600	0.941	0.789	0.959	0.899	0.875
ACCESS-ESM1-5_CCAM	[-]	0.465	0.463	0.464	0.494	-0.00138	0.267	0.491	0.950	0.781	0.962	0.963	0.888
ACCESS-ESM1-5_CMIP6	[-]	0.548	0.548	0.455		0.0931	0.346	0.494	0.898	0.677	0.968	0.665	0.777
CESM2_BARPA	[-]	0.364	0.366	0.463	0.339	-0.0976	0.258	0.547	0.906	0.801	0.963	0.977	0.890
CESM2_CCAM	[-]	0.453	0.456	0.464	0.418	-0.00813	0.243	0.728	0.953	0.796	0.936	0.991	0.894
CESM2_CMIP6	[-]	0.482	0.482	0.442		0.0395	0.292	0.657	0.947	0.720	0.945	0.990	0.865
CMCC-ESM2_BARPA	[-]	0.350	0.351	0.463	0.337	-0.112	0.265	0.621	0.895	0.801	0.951	0.960	0.882
CMCC-ESM2_CCAM	[-]	0.490	0.489	0.464	0.500	0.0248	0.215	0.371	0.943	0.820	0.974	0.990	0.909
CMCC-ESM2_CMIP6	[-]	0.600	0.600	0.442		0.158	0.450	0.330	0.834	0.618	0.979	0.988	0.807
CNRM-ESM2-1_CCAM	[-]	0.401	0.396	0.464	0.448	-0.0676	0.272	0.546	0.922	0.784	0.961	0.972	0.885
CNRM-ESM2-1_CMIP6	[-]	0.314	0.314	0.431		-0.117	0.264	0.493	0.875	0.763	0.968	0.987	0.871
EC-Earth3_BARPA	[-]	0.396	0.396	0.463	0.392	-0.0669	0.229	0.872	0.937	0.814	0.924	0.968	0.892
EC-Earth3_CCAM	[-]	0.496	0.494	0.464	0.517	0.0296	0.266	0.766	0.940	0.780	0.935	0.984	0.884
EC-Earth3_CMIP6	[-]	0.555	0.555	0.450		0.106	0.315	0.713	0.892	0.730	0.949	0.995	0.859
ERA5_BARPA	[-]	0.450	0.451	0.463	0.431	-0.0120	0.267	0.808	0.953	0.781	0.920	0.963	0.879
ERA5_CCAM	[-]	0.486	0.485	0.464	0.502	0.0210	0.192	0.684	0.950	0.840	0.942	0.987	0.912
MPI-ESM1-2-HR_BARPA	[-]	0.356	0.359	0.463	0.326	-0.105	0.244	0.510	0.895	0.814	0.959	0.895	0.875
MPI-ESM1-2-HR_CMIP6	[-]	0.192	0.192	0.445		-0.253	0.427	0.459	0.755	0.696	0.971	0.884	0.801
NorESM2-MM_BARPA	[-]	0.447	0.448	0.463	0.432	-0.0149	0.214	0.476	0.952	0.821	0.964	0.993	0.910
NorESM2-MM_CCAM	[-]	0.553	0.555	0.464	0.537	0.0909	0.240	0.726	0.909	0.815	0.938	0.985	0.892
NorESM2-MM_CMIP6	[-]	0.568	0.568	0.442		0.125	0.296	0.871	0.865	0.738	0.932	0.938	0.842

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 19:26:23 2024: ncatted -a missing_value,R95p,d,, /g/data/xv83/users/bxn599/ACS/icclim_indices_acs/agcd/indices/none/none/AUS-r005/BOM/AGCD/historical/none/none/none/climdex/R95p/v20240411/R95p_AUS-r005_AGCD_historical_none_BOM_none_none_mon_19850101-20141231_masked.nc.tmp Wed Aug 28 14:05:17 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/R95p/v20240411/R95p_AUS-r005_AGCD_historical_none_BOM_none_none_mon_19850101-20141231_masked.nc /g/data/xv83/users/bxn599/ACS/icclim_indices_acs/agcd/indices/none/none/AUS-r005/BOM/AGCD/historical/none/none/none/climdex/R95p/v20240411/R95p_AUS-r005_AGCD_historical_none_BOM_none_none_mon_19850101-20141231_masked_compressed.nc Wed Jun 05 08:52:43 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/R95p/v20240411/R95p_AUS-r005_AGCD_historical_none_BOM_none_none_mon_19850101-20141231.nc ./indices/none/none/AUS-r005/BOM/AGCD/historical/none/none/none/climdex/R95p/v20240411/R95p_AUS-r005_AGCD_historical_none_BOM_none_none_mon_19850101-20141231_masked.nc Wed May 15 14:02:08 2024: /g/data/xv83/users/bxn599/miniconda3/envs/icclim/bin/python /g/data/xv83/users/bxn599/ACS/indices/run_icclim.py --slice_mode month --verbose --start_date 1985-01-01 --end_date 2014-12-31 --base_period 1985-01-01 2014-12-31 --input_files /g/data/xv83/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 R95p /g/data/xv83/users/bxn599/ACS/icclim_indices_acs/agcd/indices/none/none/AUS-r005/BOM/AGCD/historical/none/none/none/climdex/R95p/v20240411/R95p_AUS-r005_AGCD_historical_none_BOM_none_none_mon_19850101-20141231.nc

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

Conventions:: CF-1.6

Cdi:: Climate Data Interface version 2.4.0 (https://mpimet.mpg.de/cdi)

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:: R95p

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