Mean State

Mean State
All Models
Data Information

	Download Data	Period Mean (original grids) [m s**-1]	Model Period Mean (intersection) [m s**-1]	Benchmark Period Mean (intersection) [m s**-1]	Bias [m s**-1]	RMSE [m s**-1]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	0.929
ACCESS-CM2_BARPA	[-]	1.22	1.22	0.929	0.293	0.945	1.23	0.888	0.754	0.854	0.987	0.847
ACCESS-CM2_CCAM	[-]	2.96	2.96	0.929	2.03	2.45	2.35	0.538	0.666	0.638	0.815	0.665
ACCESS-CM2_CMIP6	[-]	1.14	1.14	0.916	0.220	0.902	1.24	0.895	0.759	0.858	0.977	0.850
ACCESS-ESM1-5_BARPA	[-]	0.766	0.764	0.929	-0.165	1.17	1.49	0.837	0.720	0.829	0.748	0.771
ACCESS-ESM1-5_CCAM	[-]	1.35	1.35	0.929	0.419	1.32	1.64	0.819	0.687	0.789	0.940	0.784
ACCESS-ESM1-5_CMIP6	[-]	0.793	0.793	0.938	-0.146	1.01	1.45	0.911	0.732	0.827	0.948	0.830
CESM2_BARPA	[-]	0.629	0.627	0.929	-0.302	1.23	2.24	0.881	0.686	0.644	0.962	0.772
CESM2_CCAM	[-]	0.746	0.744	0.929	-0.185	1.04	1.69	0.828	0.765	0.754	0.789	0.781
CMCC-ESM2_BARPA	[-]	0.537	0.534	0.929	-0.395	1.40	3.26	0.855	0.655	0.483	0.964	0.722
CMCC-ESM2_CCAM	[-]	0.612	0.610	0.929	-0.319	1.28	3.18	0.802	0.714	0.484	0.896	0.722
CMCC-ESM2_CMIP6	[-]	0.602	0.602	0.929	-0.328	1.27	3.11	0.795	0.718	0.497	0.898	0.726
CNRM-ESM2-1_CCAM	[-]	1.29	1.29	0.929	0.362	1.49	1.84	0.839	0.648	0.752	0.951	0.768
CNRM-ESM2-1_CMIP6	[-]	1.27	1.27	0.922	0.350	1.47	1.89	0.846	0.646	0.739	0.954	0.766
EC-Earth3_BARPA	[-]	0.891	0.886	0.929	-0.0429	1.26	2.09	0.801	0.722	0.676	0.898	0.764
EC-Earth3_CCAM	[-]	1.53	1.52	0.929	0.592	1.05	1.76	0.824	0.766	0.738	0.963	0.812
EC-Earth3_CMIP6	[-]	1.50	1.50	0.931	0.571	1.02	1.79	0.831	0.770	0.733	0.963	0.814
ERA5_BARPA	[-]	0.827	0.824	0.929	-0.105	0.368	1.09	0.963	0.891	0.830	0.998	0.915
ERA5_CCAM	[-]	0.918	0.916	0.929	-0.0129	0.126	0.235	0.980	0.964	0.971	0.999	0.976
MPI-ESM1-2-HR_BARPA	[-]	0.734	0.730	0.929	-0.199	1.32	2.02	0.837	0.678	0.698	0.866	0.751
NorESM2-MM_BARPA	[-]	0.816	0.815	0.929	-0.114	1.15	2.49	0.864	0.720	0.607	0.953	0.773
NorESM2-MM_CCAM	[-]	0.734	0.734	0.929	-0.195	1.11	2.29	0.842	0.745	0.646	0.816	0.759
NorESM2-MM_CMIP6	[-]	0.739	0.739	0.929	-0.190	1.12	2.41	0.835	0.742	0.623	0.781	0.745

	Download Data	Period Mean (original grids) [m s**-1]	Model Period Mean (intersection) [m s**-1]	Benchmark Period Mean (intersection) [m s**-1]	Bias [m s**-1]	RMSE [m s**-1]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	1.98
ACCESS-CM2_BARPA	[-]	2.21	2.21	1.98	0.234	0.903	0.289	0.933	0.788	0.971	0.636	0.827
ACCESS-CM2_CCAM	[-]	3.27	3.28	1.98	1.30	1.86	0.884	0.704	0.692	0.901	0.955	0.799
ACCESS-CM2_CMIP6	[-]	2.11	2.11	1.98	0.129	0.864	0.479	0.931	0.795	0.959	0.418	0.778
ACCESS-ESM1-5_BARPA	[-]	1.19	1.19	1.98	-0.785	1.24	0.724	0.801	0.764	0.942	0.834	0.827
ACCESS-ESM1-5_CCAM	[-]	2.22	2.22	1.98	0.246	1.26	0.477	0.897	0.718	0.954	0.446	0.750
ACCESS-ESM1-5_CMIP6	[-]	1.63	1.63	2.02	-0.395	0.971	0.00	0.886	0.784	1.00	0.384	0.766
CESM2_BARPA	[-]	1.71	1.71	1.98	-0.267	0.996	0.404	0.895	0.778	0.962	0.607	0.807
CESM2_CCAM	[-]	1.57	1.57	1.98	-0.411	0.947	0.568	0.883	0.795	0.940	0.281	0.733
CMCC-ESM2_BARPA	[-]	2.09	2.09	1.98	0.110	1.04	1.10	0.918	0.761	0.917	0.567	0.787
CMCC-ESM2_CCAM	[-]	2.44	2.44	1.98	0.461	0.970	1.39	0.864	0.806	0.857	0.619	0.789
CMCC-ESM2_CMIP6	[-]	2.39	2.39	1.99	0.398	0.917	1.02	0.871	0.815	0.927	0.713	0.830
CNRM-ESM2-1_CCAM	[-]	1.79	1.79	1.98	-0.188	1.59	0.272	0.948	0.644	0.957	0.996	0.859
CNRM-ESM2-1_CMIP6	[-]	1.82	1.82	1.98	-0.165	1.65	0.210	0.954	0.632	0.965	0.992	0.858
EC-Earth3_BARPA	[-]	1.89	1.88	1.98	-0.0985	1.66	0.257	0.933	0.631	0.958	0.761	0.800
EC-Earth3_CCAM	[-]	2.69	2.68	1.98	0.706	1.50	0.257	0.819	0.691	0.958	0.980	0.843
EC-Earth3_CMIP6	[-]	2.74	2.74	1.99	0.756	1.58	0.276	0.807	0.679	0.955	0.954	0.830
ERA5_BARPA	[-]	1.82	1.81	1.98	-0.163	0.325	0.257	0.955	0.924	0.958	0.999	0.955
ERA5_CCAM	[-]	1.92	1.92	1.98	-0.0598	0.122	0.131	0.982	0.972	0.978	0.995	0.981
MPI-ESM1-2-HR_BARPA	[-]	3.19	3.18	1.98	1.21	1.96	1.18	0.713	0.649	0.899	0.986	0.794
NorESM2-MM_BARPA	[-]	1.60	1.60	1.98	-0.380	1.04	3.13	0.872	0.780	0.467	0.821	0.740
NorESM2-MM_CCAM	[-]	1.33	1.33	1.98	-0.650	1.11	4.11	0.833	0.789	0.255	0.519	0.620
NorESM2-MM_CMIP6	[-]	1.30	1.30	1.99	-0.694	1.16	4.25	0.823	0.783	0.221	0.710	0.651

	Download Data	Period Mean (original grids) [m s**-1]	Model Period Mean (intersection) [m s**-1]	Benchmark Period Mean (intersection) [m s**-1]	Bias [m s**-1]	RMSE [m s**-1]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	1.18
ACCESS-CM2_BARPA	[-]	1.70	1.70	1.18	0.512	1.05	1.61	0.863	0.785	0.795	0.641	0.789
ACCESS-CM2_CCAM	[-]	3.33	3.34	1.18	2.16	2.71	2.81	0.567	0.641	0.523	0.932	0.697
ACCESS-CM2_CMIP6	[-]	1.68	1.68	1.20	0.479	0.982	1.59	0.871	0.793	0.813	0.739	0.798
ACCESS-ESM1-5_BARPA	[-]	0.594	0.589	1.18	-0.595	1.07	0.988	0.846	0.779	0.912	0.932	0.834
ACCESS-ESM1-5_CCAM	[-]	2.02	2.02	1.18	0.841	1.51	1.09	0.785	0.718	0.883	0.369	0.757
ACCESS-ESM1-5_CMIP6	[-]	1.30	1.30	1.15	0.143	0.868	1.41	0.909	0.805	0.789	0.423	0.756
CESM2_BARPA	[-]	1.34	1.34	1.18	0.156	0.933	0.287	0.876	0.803	0.955	0.542	0.846
CESM2_CCAM	[-]	1.33	1.33	1.18	0.147	0.829	1.24	0.884	0.831	0.796	0.198	0.729
CMCC-ESM2_BARPA	[-]	1.51	1.51	1.18	0.329	1.35	1.63	0.887	0.701	0.822	0.826	0.806
CMCC-ESM2_CCAM	[-]	2.13	2.14	1.18	0.952	1.40	1.63	0.766	0.764	0.822	0.621	0.806
CMCC-ESM2_CMIP6	[-]	2.14	2.14	1.23	0.911	1.36	1.62	0.771	0.773	0.824	0.506	0.795
CNRM-ESM2-1_CCAM	[-]	1.00	0.996	1.18	-0.187	1.61	1.89	0.946	0.642	0.694	0.960	0.812
CNRM-ESM2-1_CMIP6	[-]	0.892	0.892	1.15	-0.259	1.66	2.20	0.928	0.631	0.644	0.965	0.793
EC-Earth3_BARPA	[-]	0.529	0.509	1.18	-0.675	1.74	1.84	0.812	0.659	0.697	0.494	0.704
EC-Earth3_CCAM	[-]	1.78	1.77	1.18	0.589	1.48	1.84	0.850	0.692	0.697	0.854	0.793
EC-Earth3_CMIP6	[-]	1.76	1.76	1.20	0.561	1.46	1.88	0.857	0.691	0.690	0.843	0.792
ERA5_BARPA	[-]	0.975	0.968	1.18	-0.215	0.401	0.811	0.941	0.909	0.866	0.991	0.931
ERA5_CCAM	[-]	1.23	1.22	1.18	0.0393	0.116	0.0927	0.983	0.974	0.985	0.996	0.982
MPI-ESM1-2-HR_BARPA	[-]	2.35	2.33	1.18	1.15	1.99	2.01	0.733	0.643	0.714	0.740	0.702
NorESM2-MM_BARPA	[-]	1.35	1.36	1.18	0.176	0.972	1.33	0.839	0.817	0.773	0.724	0.786
NorESM2-MM_CCAM	[-]	1.23	1.24	1.18	0.0530	0.929	2.62	0.873	0.809	0.589	0.378	0.690
NorESM2-MM_CMIP6	[-]	1.21	1.21	1.23	-0.0175	0.959	2.59	0.866	0.806	0.593	0.510	0.712

	Download Data	Period Mean (original grids) [m s**-1]	Model Period Mean (intersection) [m s**-1]	Benchmark Period Mean (intersection) [m s**-1]	Bias [m s**-1]	RMSE [m s**-1]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	0.357
ACCESS-CM2_BARPA	[-]	0.771	0.766	0.357	0.409	0.748	0.688	0.848	0.777	0.936	0.883	0.866
ACCESS-CM2_CCAM	[-]	3.97	3.96	0.357	3.61	3.86	4.58	0.220	0.565	0.169	0.764	0.442
ACCESS-CM2_CMIP6	[-]	0.659	0.659	0.344	0.315	0.691	0.890	0.883	0.776	0.906	0.896	0.863
ACCESS-ESM1-5_BARPA	[-]	0.127	0.124	0.357	-0.234	0.916	1.22	0.891	0.699	0.890	0.826	0.815
ACCESS-ESM1-5_CCAM	[-]	1.33	1.32	0.357	0.963	1.33	2.07	0.667	0.684	0.692	0.896	0.729
ACCESS-ESM1-5_CMIP6	[-]	0.261	0.261	0.353	-0.0922	0.718	1.28	0.908	0.754	0.876	0.834	0.842
CESM2_BARPA	[-]	0.164	0.159	0.357	-0.198	1.10	0.720	0.906	0.635	0.939	0.871	0.819
CESM2_CCAM	[-]	0.294	0.291	0.357	-0.0658	0.643	0.749	0.875	0.801	0.939	0.781	0.814
CMCC-ESM2_BARPA	[-]	-0.0441	-0.0501	0.357	-0.407	1.06	1.55	0.830	0.672	0.789	0.637	0.732
CMCC-ESM2_CCAM	[-]	0.639	0.634	0.357	0.277	0.884	1.10	0.820	0.750	0.873	0.630	0.785
CMCC-ESM2_CMIP6	[-]	0.720	0.720	0.372	0.348	0.948	1.20	0.804	0.737	0.855	0.601	0.767
CNRM-ESM2-1_CCAM	[-]	0.928	0.924	0.357	0.567	1.29	2.43	0.747	0.662	0.643	0.683	0.694
CNRM-ESM2-1_CMIP6	[-]	0.791	0.791	0.345	0.447	1.25	2.72	0.781	0.657	0.585	0.665	0.681
EC-Earth3_BARPA	[-]	-0.650	-0.654	0.357	-1.01	1.26	1.31	0.665	0.742	0.824	0.253	0.627
EC-Earth3_CCAM	[-]	0.675	0.670	0.357	0.313	0.840	2.73	0.872	0.734	0.554	0.962	0.775
EC-Earth3_CMIP6	[-]	0.617	0.617	0.359	0.258	0.750	2.70	0.895	0.753	0.553	0.970	0.787
ERA5_BARPA	[-]	0.278	0.275	0.357	-0.0819	0.353	0.489	0.952	0.875	0.957	0.951	0.929
ERA5_CCAM	[-]	0.374	0.369	0.357	0.0123	0.143	0.145	0.977	0.946	0.990	0.995	0.975
MPI-ESM1-2-HR_BARPA	[-]	-0.0318	-0.0361	0.357	-0.393	1.01	1.16	0.839	0.688	0.897	0.732	0.758
NorESM2-MM_BARPA	[-]	0.774	0.771	0.357	0.414	0.889	1.81	0.828	0.747	0.757	0.838	0.788
NorESM2-MM_CCAM	[-]	0.831	0.829	0.357	0.472	0.843	1.94	0.816	0.757	0.711	0.810	0.755
NorESM2-MM_CMIP6	[-]	0.884	0.884	0.372	0.513	0.880	2.17	0.806	0.750	0.671	0.921	0.747

	Download Data	Period Mean (original grids) [m s**-1]	Model Period Mean (intersection) [m s**-1]	Benchmark Period Mean (intersection) [m s**-1]	Bias [m s**-1]	RMSE [m s**-1]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	2.28
ACCESS-CM2_BARPA	[-]	2.09	2.10	2.28	-0.179	0.811	0.947	0.943	0.773	0.928	0.996	0.895
ACCESS-CM2_CCAM	[-]	2.33	2.34	2.28	0.0605	0.782	0.881	0.948	0.780	0.942	0.823	0.863
ACCESS-CM2_CMIP6	[-]	1.85	1.85	2.26	-0.418	0.897	1.01	0.872	0.771	0.917	0.999	0.876
ACCESS-ESM1-5_BARPA	[-]	1.37	1.38	2.28	-0.902	1.33	1.90	0.745	0.728	0.773	0.994	0.801
ACCESS-ESM1-5_CCAM	[-]	1.67	1.67	2.28	-0.605	1.25	1.76	0.820	0.701	0.792	0.991	0.812
ACCESS-ESM1-5_CMIP6	[-]	1.46	1.46	2.27	-0.813	1.27	1.78	0.766	0.730	0.789	0.991	0.809
CESM2_BARPA	[-]	1.19	1.20	2.28	-1.08	1.44	3.62	0.703	0.735	0.356	0.925	0.686
CESM2_CCAM	[-]	1.16	1.16	2.28	-1.12	1.50	3.62	0.693	0.724	0.358	0.990	0.695
CMCC-ESM2_BARPA	[-]	1.49	1.50	2.28	-0.782	1.12	4.78	0.774	0.777	0.229	0.947	0.692
CMCC-ESM2_CCAM	[-]	1.32	1.32	2.28	-0.957	1.26	4.29	0.732	0.768	0.231	0.810	0.650
CMCC-ESM2_CMIP6	[-]	1.27	1.27	2.26	-0.987	1.26	4.06	0.724	0.781	0.274	0.839	0.668
CNRM-ESM2-1_CCAM	[-]	2.27	2.27	2.28	-0.00724	1.07	2.23	0.979	0.705	0.702	0.959	0.822
CNRM-ESM2-1_CMIP6	[-]	2.23	2.23	2.26	-0.0316	1.06	2.02	0.972	0.708	0.717	0.987	0.831
EC-Earth3_BARPA	[-]	2.76	2.77	2.28	0.489	1.02	0.763	0.852	0.754	0.932	0.999	0.870
EC-Earth3_CCAM	[-]	3.04	3.04	2.28	0.763	1.07	0.706	0.779	0.785	0.921	0.991	0.860
EC-Earth3_CMIP6	[-]	3.07	3.07	2.27	0.806	1.12	0.753	0.768	0.778	0.919	0.998	0.856
ERA5_BARPA	[-]	2.11	2.11	2.28	-0.166	0.267	1.02	0.947	0.936	0.831	1.00	0.929
ERA5_CCAM	[-]	2.17	2.18	2.28	-0.102	0.156	0.121	0.966	0.966	0.989	0.998	0.978
MPI-ESM1-2-HR_BARPA	[-]	2.75	2.75	2.28	0.476	1.22	0.136	0.863	0.702	0.991	0.735	0.809
NorESM2-MM_BARPA	[-]	1.13	1.14	2.28	-1.14	1.48	4.22	0.690	0.743	0.219	0.935	0.658
NorESM2-MM_CCAM	[-]	0.584	0.589	2.28	-1.69	1.94	4.22	0.575	0.732	0.220	0.959	0.634
NorESM2-MM_CMIP6	[-]	0.562	0.562	2.26	-1.70	1.95	4.19	0.573	0.732	0.225	0.965	0.636

	Download Data	Period Mean (original grids) [m s**-1]	Model Period Mean (intersection) [m s**-1]	Benchmark Period Mean (intersection) [m s**-1]	Bias [m s**-1]	RMSE [m s**-1]	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	[-]	1.35	1.34	1.01	0.330	1.01	1.40	0.888	0.744	0.832	0.989	0.854
ACCESS-CM2_CCAM	[-]	3.01	3.01	1.01	2.00	2.36	1.93	0.545	0.683	0.733	0.874	0.724
ACCESS-CM2_CMIP6	[-]	1.27	1.27	0.993	0.281	0.968	1.33	0.896	0.751	0.850	0.981	0.860
ACCESS-ESM1-5_BARPA	[-]	0.983	0.982	1.01	-0.0308	1.23	1.63	0.842	0.714	0.801	0.643	0.748
ACCESS-ESM1-5_CCAM	[-]	1.40	1.40	1.01	0.387	1.32	1.49	0.861	0.682	0.825	0.971	0.822
ACCESS-ESM1-5_CMIP6	[-]	0.910	0.910	1.01	-0.103	1.09	1.50	0.934	0.713	0.819	0.962	0.845
CESM2_BARPA	[-]	0.724	0.721	1.01	-0.291	1.32	2.95	0.905	0.666	0.516	0.986	0.755
CESM2_CCAM	[-]	0.802	0.799	1.01	-0.214	1.10	1.88	0.842	0.747	0.727	0.830	0.780
CMCC-ESM2_BARPA	[-]	0.593	0.590	1.01	-0.423	1.59	4.00	0.867	0.616	0.340	0.967	0.683
CMCC-ESM2_CCAM	[-]	0.480	0.478	1.01	-0.535	1.41	4.12	0.818	0.681	0.301	0.901	0.672
CMCC-ESM2_CMIP6	[-]	0.425	0.425	0.994	-0.569	1.38	4.01	0.810	0.689	0.323	0.906	0.680
CNRM-ESM2-1_CCAM	[-]	1.53	1.53	1.01	0.515	1.62	1.57	0.830	0.634	0.812	0.955	0.800
CNRM-ESM2-1_CMIP6	[-]	1.57	1.57	1.02	0.557	1.61	1.61	0.830	0.632	0.803	0.962	0.799
EC-Earth3_BARPA	[-]	1.21	1.21	1.01	0.198	1.24	2.73	0.837	0.715	0.563	0.954	0.760
EC-Earth3_CCAM	[-]	1.69	1.69	1.01	0.675	1.08	1.70	0.807	0.781	0.755	0.971	0.826
EC-Earth3_CMIP6	[-]	1.66	1.66	1.02	0.647	1.05	1.75	0.815	0.783	0.751	0.971	0.827
ERA5_BARPA	[-]	0.928	0.926	1.01	-0.0869	0.395	1.34	0.973	0.884	0.783	0.999	0.910
ERA5_CCAM	[-]	1.01	1.01	1.01	-0.00630	0.115	0.258	0.983	0.969	0.966	0.999	0.979
MPI-ESM1-2-HR_BARPA	[-]	0.621	0.617	1.01	-0.396	1.36	2.64	0.850	0.669	0.573	0.911	0.741
NorESM2-MM_BARPA	[-]	0.869	0.866	1.01	-0.146	1.22	2.60	0.905	0.692	0.590	0.979	0.786
NorESM2-MM_CCAM	[-]	0.815	0.815	1.01	-0.198	1.08	2.08	0.888	0.735	0.692	0.865	0.776
NorESM2-MM_CMIP6	[-]	0.784	0.784	0.994	-0.209	1.10	2.18	0.881	0.733	0.675	0.833	0.762

	Download Data	Period Mean (original grids) [m s**-1]	Model Period Mean (intersection) [m s**-1]	Benchmark Period Mean (intersection) [m s**-1]	Bias [m s**-1]	RMSE [m s**-1]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	1.38
ACCESS-CM2_BARPA	[-]	1.05	1.06	1.38	-0.325	1.06	2.72	0.899	0.721	0.560	0.985	0.763
ACCESS-CM2_CCAM	[-]	1.08	1.08	1.38	-0.306	1.03	2.10	0.898	0.731	0.694	0.949	0.763
ACCESS-CM2_CMIP6	[-]	1.07	1.07	1.48	-0.406	1.02	1.98	0.875	0.738	0.687	0.992	0.773
ACCESS-ESM1-5_BARPA	[-]	0.378	0.383	1.38	-1.00	1.39	2.39	0.720	0.730	0.659	0.891	0.677
ACCESS-ESM1-5_CCAM	[-]	0.706	0.701	1.38	-0.682	1.27	2.39	0.799	0.703	0.659	0.976	0.724
ACCESS-ESM1-5_CMIP6	[-]	0.466	0.466	1.37	-0.906	1.30	2.45	0.743	0.737	0.645	0.923	0.607
CESM2_BARPA	[-]	-0.111	-0.104	1.38	-1.49	1.73	2.82	0.615	0.751	0.529	0.557	0.604
CESM2_CCAM	[-]	0.114	0.107	1.38	-1.28	1.61	2.86	0.658	0.728	0.518	0.697	0.611
CMCC-ESM2_BARPA	[-]	0.314	0.318	1.38	-1.06	1.25	2.38	0.705	0.811	0.670	0.837	0.693
CMCC-ESM2_CCAM	[-]	0.238	0.228	1.38	-1.16	1.30	2.64	0.685	0.824	0.568	0.785	0.650
CMCC-ESM2_CMIP6	[-]	0.363	0.363	1.46	-1.10	1.26	2.18	0.696	0.814	0.666	0.838	0.684
CNRM-ESM2-1_CCAM	[-]	1.65	1.64	1.38	0.260	1.07	3.63	0.921	0.715	0.434	0.847	0.725
CNRM-ESM2-1_CMIP6	[-]	1.42	1.42	1.18	0.247	1.12	3.45	0.915	0.706	0.453	0.727	0.694
EC-Earth3_BARPA	[-]	1.84	1.85	1.38	0.465	0.784	1.43	0.858	0.819	0.798	0.990	0.852
EC-Earth3_CCAM	[-]	2.19	2.19	1.38	0.805	0.997	1.37	0.768	0.825	0.818	0.994	0.830
EC-Earth3_CMIP6	[-]	2.19	2.19	1.38	0.809	0.984	1.53	0.766	0.833	0.775	0.994	0.828
ERA5_BARPA	[-]	1.18	1.18	1.38	-0.200	0.292	1.71	0.937	0.933	0.720	0.999	0.894
ERA5_CCAM	[-]	1.27	1.26	1.38	-0.120	0.175	0.519	0.960	0.963	0.932	0.999	0.948
MPI-ESM1-2-HR_BARPA	[-]	1.87	1.86	1.38	0.477	1.11	1.33	0.860	0.728	0.789	0.890	0.776
NorESM2-MM_BARPA	[-]	-0.123	-0.117	1.38	-1.50	1.64	4.31	0.612	0.810	0.222	0.558	0.550
NorESM2-MM_CCAM	[-]	-0.436	-0.444	1.38	-1.83	1.98	3.39	0.549	0.776	0.397	0.382	0.508
NorESM2-MM_CMIP6	[-]	-0.259	-0.259	1.46	-1.72	1.89	4.34	0.566	0.773	0.206	0.434	0.478

	Download Data	Period Mean (original grids) [m s**-1]	Model Period Mean (intersection) [m s**-1]	Benchmark Period Mean (intersection) [m s**-1]	Bias [m s**-1]	RMSE [m s**-1]	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	[-]	-0.188	-0.176	-0.284	0.108	0.970	1.52	0.961	0.735	0.800	0.996	0.852
ACCESS-CM2_CCAM	[-]	0.263	0.278	-0.284	0.562	1.20	1.22	0.837	0.712	0.854	0.931	0.818
ACCESS-CM2_CMIP6	[-]	-0.200	-0.200	-0.310	0.109	0.954	1.48	0.945	0.740	0.827	0.983	0.870
ACCESS-ESM1-5_BARPA	[-]	0.325	0.336	-0.284	0.620	1.20	1.31	0.784	0.753	0.867	0.614	0.748
ACCESS-ESM1-5_CCAM	[-]	-0.0353	-0.0257	-0.284	0.259	1.20	1.69	0.887	0.694	0.784	0.914	0.815
ACCESS-ESM1-5_CMIP6	[-]	-0.143	-0.143	-0.296	0.153	0.896	1.32	0.924	0.760	0.866	0.957	0.819
CESM2_BARPA	[-]	-0.113	-0.105	-0.284	0.180	0.843	1.49	0.870	0.804	0.815	0.869	0.775
CESM2_CCAM	[-]	0.502	0.501	-0.284	0.785	1.32	1.61	0.704	0.820	0.754	0.295	0.652
CMCC-ESM2_BARPA	[-]	-0.627	-0.612	-0.284	-0.328	1.24	2.46	0.900	0.686	0.651	0.973	0.749
CMCC-ESM2_CCAM	[-]	-1.18	-1.17	-0.284	-0.884	1.30	1.84	0.753	0.742	0.758	0.910	0.756
CMCC-ESM2_CMIP6	[-]	-1.11	-1.11	-0.283	-0.829	1.24	1.88	0.766	0.750	0.751	0.916	0.757
CNRM-ESM2-1_CCAM	[-]	-0.677	-0.661	-0.284	-0.377	1.29	1.97	0.859	0.687	0.730	0.927	0.783
CNRM-ESM2-1_CMIP6	[-]	-0.660	-0.660	-0.314	-0.346	1.27	1.88	0.868	0.689	0.742	0.932	0.803
EC-Earth3_BARPA	[-]	0.429	0.440	-0.284	0.724	1.10	1.00	0.794	0.770	0.873	0.897	0.811
EC-Earth3_CCAM	[-]	0.0881	0.0984	-0.284	0.383	0.822	1.19	0.878	0.808	0.845	0.904	0.845
EC-Earth3_CMIP6	[-]	0.170	0.170	-0.261	0.430	0.821	1.17	0.868	0.811	0.847	0.911	0.843
ERA5_BARPA	[-]	-0.384	-0.366	-0.284	-0.0821	0.267	1.24	0.974	0.923	0.805	0.998	0.891
ERA5_CCAM	[-]	-0.336	-0.323	-0.284	-0.0385	0.118	0.522	0.978	0.971	0.937	0.998	0.969
MPI-ESM1-2-HR_BARPA	[-]	-0.842	-0.821	-0.284	-0.537	1.19	1.45	0.844	0.717	0.795	0.948	0.807
NorESM2-MM_BARPA	[-]	-0.359	-0.351	-0.284	-0.0667	0.951	1.53	0.917	0.750	0.807	0.946	0.776
NorESM2-MM_CCAM	[-]	-0.486	-0.477	-0.284	-0.193	1.05	1.62	0.910	0.739	0.796	0.684	0.765
NorESM2-MM_CMIP6	[-]	-0.391	-0.391	-0.283	-0.108	1.06	1.67	0.886	0.741	0.792	0.612	0.738

	Download Data	Period Mean (original grids) [m s**-1]	Model Period Mean (intersection) [m s**-1]	Benchmark Period Mean (intersection) [m s**-1]	Bias [m s**-1]	RMSE [m s**-1]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	-0.204
ACCESS-CM2_BARPA	[-]	0.340	0.323	-0.204	0.527	0.773	0.0106	0.777	0.762	0.999	0.445	0.748
ACCESS-CM2_CCAM	[-]	3.41	3.39	-0.204	3.59	3.88	5.56	0.181	0.502	0.0390	0.109	0.240
ACCESS-CM2_CMIP6	[-]	-0.257	-0.257	-0.339	0.0820	0.564	1.01	0.942	0.743	0.813	0.605	0.772
ACCESS-ESM1-5_BARPA	[-]	-0.586	-0.594	-0.204	-0.391	0.800	0.420	0.833	0.718	0.972	0.596	0.773
ACCESS-ESM1-5_CCAM	[-]	0.714	0.693	-0.204	0.896	1.33	4.82	0.657	0.625	0.119	0.264	0.440
ACCESS-ESM1-5_CMIP6	[-]	-0.0549	-0.0549	-0.170	0.115	0.721	2.64	0.949	0.715	0.585	0.896	0.778
CESM2_BARPA	[-]	-0.472	-0.497	-0.204	-0.294	0.744	0.00	0.851	0.727	1.00	0.724	0.814
CESM2_CCAM	[-]	0.432	0.419	-0.204	0.623	0.766	0.696	0.741	0.806	0.954	0.374	0.728
CMCC-ESM2_BARPA	[-]	-0.506	-0.532	-0.204	-0.328	0.947	3.51	0.841	0.662	0.417	0.716	0.659
CMCC-ESM2_CCAM	[-]	0.843	0.832	-0.204	1.04	1.26	2.04	0.606	0.712	0.747	0.263	0.596
CMCC-ESM2_CMIP6	[-]	0.797	0.797	-0.226	1.02	1.24	1.80	0.604	0.714	0.790	0.295	0.613
CNRM-ESM2-1_CCAM	[-]	-0.399	-0.411	-0.204	-0.207	1.11	3.91	0.899	0.600	0.286	0.835	0.649
CNRM-ESM2-1_CMIP6	[-]	-0.541	-0.541	-0.307	-0.234	0.989	4.07	0.887	0.614	0.248	0.714	0.615
EC-Earth3_BARPA	[-]	-1.85	-1.86	-0.204	-1.66	1.84	2.58	0.450	0.690	0.575	0.824	0.641
EC-Earth3_CCAM	[-]	0.0358	0.0218	-0.204	0.225	0.865	3.05	0.896	0.678	0.498	0.782	0.709
EC-Earth3_CMIP6	[-]	0.00306	0.00306	-0.206	0.209	0.806	3.05	0.902	0.691	0.498	0.827	0.725
ERA5_BARPA	[-]	-0.441	-0.451	-0.204	-0.247	0.401	0.255	0.891	0.863	0.983	0.830	0.888
ERA5_CCAM	[-]	-0.169	-0.183	-0.204	0.0204	0.228	0.00	0.957	0.907	1.00	0.888	0.934
MPI-ESM1-2-HR_BARPA	[-]	-0.633	-0.659	-0.204	-0.456	0.871	1.02	0.790	0.723	0.933	0.718	0.784
NorESM2-MM_BARPA	[-]	0.565	0.550	-0.204	0.754	1.06	2.02	0.695	0.697	0.750	0.313	0.623
NorESM2-MM_CCAM	[-]	0.695	0.684	-0.204	0.887	1.14	2.03	0.651	0.710	0.749	0.275	0.609
NorESM2-MM_CMIP6	[-]	0.732	0.732	-0.226	0.958	1.20	2.03	0.620	0.697	0.749	0.244	0.590

	Download Data	Period Mean (original grids) [m s**-1]	Model Period Mean (intersection) [m s**-1]	Benchmark Period Mean (intersection) [m s**-1]	Model Period Mean (complement) [m s**-1]	Benchmark Period Mean (complement) [m s**-1]	Bias [m s**-1]	RMSE [m s**-1]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	-0.0216
ACCESS-CM2_BARPA	[-]	-0.0160	-0.000695	-0.0231		0.183	0.0224	1.05	1.59	0.833	0.714	0.772	0.938	0.794
ACCESS-CM2_CCAM	[-]	0.852	0.856	-0.0193		-0.200	0.875	1.69	2.44	0.680	0.622	0.603	0.798	0.665
ACCESS-CM2_CMIP6	[-]	-0.0806	-0.0671	-0.0216	-0.247		-0.0455	0.976	1.77	0.860	0.721	0.739	0.951	0.798
ACCESS-ESM1-5_BARPA	[-]	-0.0975	-0.0837	-0.0231		0.183	-0.0606	1.26	1.84	0.752	0.684	0.725	0.841	0.737
ACCESS-ESM1-5_CCAM	[-]	0.212	0.213	-0.0193		-0.200	0.232	1.19	1.99	0.813	0.669	0.697	0.900	0.750
ACCESS-ESM1-5_CMIP6	[-]	-0.0778	-0.0947	-0.0251	0.336		-0.0696	1.11	1.70	0.821	0.693	0.758	0.889	0.771
CESM2_BARPA	[-]	-0.330	-0.322	-0.0231		0.183	-0.299	1.56	1.76	0.675	0.664	0.736	0.674	0.683
CESM2_CCAM	[-]	-0.00950	-0.00758	-0.0193		-0.200	0.0118	1.22	1.78	0.750	0.737	0.738	0.741	0.740
CMCC-ESM2_BARPA	[-]	-0.394	-0.395	-0.0231		0.183	-0.371	1.30	2.08	0.738	0.665	0.686	0.898	0.730
CMCC-ESM2_CCAM	[-]	-0.0188	-0.0188	-0.0193		-0.200	0.000580	1.12	2.02	0.790	0.703	0.694	0.897	0.757
CMCC-ESM2_CMIP6	[-]	-0.0296	-0.0212	-0.00871	-0.181		-0.0124	1.09	2.02	0.803	0.707	0.699	0.900	0.763
CNRM-ESM2-1_CCAM	[-]	-0.182	-0.184	-0.0193		-0.200	-0.164	1.38	1.79	0.776	0.633	0.741	0.873	0.731
CNRM-ESM2-1_CMIP6	[-]	-0.219	-0.219	-0.00724	-0.222		-0.211	1.35	1.75	0.798	0.635	0.747	0.878	0.738
EC-Earth3_BARPA	[-]	-0.347	-0.345	-0.0231		0.183	-0.322	1.20	1.59	0.749	0.686	0.776	0.897	0.759
EC-Earth3_CCAM	[-]	-0.0231	-0.0225	-0.0193		-0.200	-0.00313	0.952	1.56	0.825	0.729	0.782	0.941	0.801
EC-Earth3_CMIP6	[-]	-0.0522	-0.0412	-0.0126	-0.353		-0.0286	0.912	1.57	0.839	0.737	0.780	0.945	0.808
ERA5_BARPA	[-]	-0.109	-0.103	-0.0231		0.183	-0.0794	0.435	0.900	0.877	0.862	0.870	0.981	0.890
ERA5_CCAM	[-]	-0.0431	-0.0436	-0.0193		-0.200	-0.0243	0.198	0.303	0.942	0.926	0.961	0.994	0.950
MPI-ESM1-2-HR_BARPA	[-]	0.00473	0.0114	-0.0231		0.183	0.0346	1.18	1.82	0.794	0.677	0.736	0.891	0.755
NorESM2-MM_BARPA	[-]	-0.179	-0.171	-0.0231		0.183	-0.148	1.42	1.86	0.697	0.704	0.714	0.683	0.701
NorESM2-MM_CCAM	[-]	0.0107	0.00886	-0.0193		-0.200	0.0282	1.13	1.82	0.751	0.744	0.722	0.803	0.753
NorESM2-MM_CMIP6	[-]	-0.00153	-0.00393	-0.00871	0.0413		0.00478	1.09	1.82	0.767	0.750	0.722	0.809	0.759

	Download Data	Period Mean (original grids) [m s**-1]	Model Period Mean (intersection) [m s**-1]	Benchmark Period Mean (intersection) [m s**-1]	Model Period Mean (complement) [m s**-1]	Benchmark Period Mean (complement) [m s**-1]	Bias [m s**-1]	RMSE [m s**-1]	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	[-]	-0.103	-0.104	-0.290		0.124	0.187	0.657	0.903	0.786	0.706	0.899	0.655	0.751
ACCESS-CM2_CCAM	[-]	0.671	0.667	-0.290		0.124	0.957	1.41	2.24	0.577	0.558	0.633	0.236	0.512
ACCESS-CM2_CMIP6	[-]	-0.336	-0.362	-0.294	0.134		-0.0688	0.529	1.31	0.878	0.722	0.818	0.933	0.815
ACCESS-ESM1-5_BARPA	[-]	-0.271	-0.272	-0.290		0.124	0.0183	0.992	2.21	0.711	0.604	0.636	0.481	0.607
ACCESS-ESM1-5_CCAM	[-]	-0.127	-0.131	-0.290		0.124	0.159	0.840	1.70	0.788	0.612	0.748	0.696	0.691
ACCESS-ESM1-5_CMIP6	[-]	-0.411	-0.411	-0.288			-0.123	0.759	1.72	0.809	0.633	0.753	0.839	0.733
CESM2_BARPA	[-]	-0.912	-0.916	-0.290		0.124	-0.626	1.20	0.943	0.625	0.578	0.890	0.431	0.620
CESM2_CCAM	[-]	-0.456	-0.453	-0.290		0.124	-0.163	0.720	1.12	0.774	0.709	0.865	0.560	0.724
CMCC-ESM2_BARPA	[-]	-0.909	-0.917	-0.290		0.124	-0.627	1.05	1.95	0.621	0.613	0.699	0.660	0.641
CMCC-ESM2_CCAM	[-]	-0.00183	-0.00189	-0.290		0.124	0.288	0.762	1.47	0.781	0.671	0.784	0.715	0.725
CMCC-ESM2_CMIP6	[-]	-0.0392	-0.0467	-0.289	0.149		0.242	0.672	1.52	0.823	0.685	0.785	0.819	0.759
CNRM-ESM2-1_CCAM	[-]	-0.393	-0.398	-0.290		0.124	-0.108	0.900	1.35	0.753	0.601	0.808	0.580	0.668
CNRM-ESM2-1_CMIP6	[-]	-0.427	-0.464	-0.290	0.203		-0.174	0.815	1.16	0.810	0.609	0.841	0.763	0.726
EC-Earth3_BARPA	[-]	-0.705	-0.712	-0.290		0.124	-0.422	1.05	1.20	0.659	0.619	0.845	0.517	0.652
EC-Earth3_CCAM	[-]	-0.226	-0.229	-0.290		0.124	0.0609	0.685	1.23	0.826	0.679	0.827	0.760	0.754
EC-Earth3_CMIP6	[-]	-0.264	-0.281	-0.292	0.310		0.0110	0.565	1.21	0.877	0.702	0.834	0.925	0.808
ERA5_BARPA	[-]	-0.287	-0.290	-0.290		0.124	-0.000219	0.565	1.17	0.790	0.754	0.836	0.789	0.784
ERA5_CCAM	[-]	-0.332	-0.333	-0.290		0.124	-0.0430	0.340	0.411	0.859	0.856	0.950	0.833	0.871
MPI-ESM1-2-HR_BARPA	[-]	-0.320	-0.323	-0.290		0.124	-0.0333	0.827	1.23	0.798	0.611	0.858	0.755	0.726
NorESM2-MM_BARPA	[-]	-0.397	-0.401	-0.290		0.124	-0.111	1.16	1.28	0.643	0.615	0.821	0.245	0.588
NorESM2-MM_CCAM	[-]	-0.124	-0.128	-0.290		0.124	0.162	0.815	1.22	0.701	0.700	0.834	0.443	0.676
NorESM2-MM_CMIP6	[-]	-0.150	-0.177	-0.289	0.541		0.111	0.695	1.13	0.752	0.722	0.854	0.528	0.716

	Download Data	Period Mean (original grids) [m s**-1]	Model Period Mean (intersection) [m s**-1]	Benchmark Period Mean (intersection) [m s**-1]	Bias [m s**-1]	RMSE [m s**-1]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	1.98
ACCESS-CM2_BARPA	[-]	2.21	2.21	1.98	0.234	0.903	0.289	0.933	0.788	0.971	0.636	0.823
ACCESS-CM2_CCAM	[-]	3.27	3.28	1.98	1.30	1.86	0.884	0.704	0.692	0.901	0.955	0.789
ACCESS-CM2_CMIP6	[-]	2.11	2.11	1.98	0.129	0.864	0.479	0.931	0.795	0.959	0.418	0.780
ACCESS-ESM1-5_BARPA	[-]	1.19	1.19	1.98	-0.785	1.24	0.724	0.801	0.764	0.942	0.834	0.821
ACCESS-ESM1-5_CCAM	[-]	2.22	2.22	1.98	0.246	1.26	0.477	0.897	0.718	0.954	0.446	0.747
ACCESS-ESM1-5_CMIP6	[-]	1.63	1.63	2.02	-0.395	0.971	0.00	0.886	0.784	1.00	0.384	0.768
CESM2_BARPA	[-]	1.71	1.71	1.98	-0.267	0.996	0.404	0.895	0.778	0.962	0.607	0.804
CESM2_CCAM	[-]	1.57	1.57	1.98	-0.411	0.947	0.568	0.883	0.795	0.940	0.281	0.739
CMCC-ESM2_BARPA	[-]	2.09	2.09	1.98	0.110	1.04	1.10	0.918	0.761	0.917	0.567	0.785
CMCC-ESM2_CCAM	[-]	2.44	2.44	1.98	0.461	0.970	1.39	0.864	0.806	0.857	0.619	0.791
CMCC-ESM2_CMIP6	[-]	2.39	2.39	1.99	0.398	0.917	1.02	0.871	0.815	0.927	0.713	0.828
CNRM-ESM2-1_CCAM	[-]	1.79	1.79	1.98	-0.188	1.59	0.272	0.948	0.644	0.957	0.996	0.838
CNRM-ESM2-1_CMIP6	[-]	1.82	1.82	1.98	-0.165	1.65	0.210	0.954	0.632	0.965	0.992	0.835
EC-Earth3_BARPA	[-]	1.89	1.88	1.98	-0.0985	1.66	0.257	0.933	0.631	0.958	0.761	0.783
EC-Earth3_CCAM	[-]	2.69	2.68	1.98	0.706	1.50	0.257	0.819	0.691	0.958	0.980	0.828
EC-Earth3_CMIP6	[-]	2.74	2.74	1.99	0.756	1.58	0.276	0.807	0.679	0.955	0.954	0.815
ERA5_BARPA	[-]	1.82	1.81	1.98	-0.163	0.325	0.257	0.955	0.924	0.958	0.999	0.952
ERA5_CCAM	[-]	1.92	1.92	1.98	-0.0598	0.122	0.131	0.982	0.972	0.978	0.995	0.980
MPI-ESM1-2-HR_BARPA	[-]	3.19	3.18	1.98	1.21	1.96	1.18	0.713	0.649	0.899	0.986	0.779
NorESM2-MM_BARPA	[-]	1.60	1.60	1.98	-0.380	1.04	3.13	0.872	0.780	0.467	0.821	0.744
NorESM2-MM_CCAM	[-]	1.33	1.33	1.98	-0.650	1.11	4.11	0.833	0.789	0.255	0.519	0.637
NorESM2-MM_CMIP6	[-]	1.30	1.30	1.99	-0.694	1.16	4.25	0.823	0.783	0.221	0.710	0.664

	Download Data	Period Mean (original grids) [m s**-1]	Model Period Mean (intersection) [m s**-1]	Benchmark Period Mean (intersection) [m s**-1]	Bias [m s**-1]	RMSE [m s**-1]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	0.918
ACCESS-CM2_BARPA	[-]	1.61	1.61	0.918	0.696	1.11	2.14	0.824	0.787	0.714	0.973	0.817
ACCESS-CM2_CCAM	[-]	3.63	3.64	0.918	2.72	3.27	3.71	0.470	0.604	0.328	0.976	0.596
ACCESS-CM2_CMIP6	[-]	1.56	1.56	0.924	0.638	1.04	2.03	0.836	0.794	0.749	0.985	0.831
ACCESS-ESM1-5_BARPA	[-]	0.380	0.378	0.918	-0.540	1.03	1.20	0.860	0.782	0.888	0.956	0.853
ACCESS-ESM1-5_CCAM	[-]	2.05	2.05	0.918	1.13	1.67	1.44	0.729	0.711	0.838	0.688	0.735
ACCESS-ESM1-5_CMIP6	[-]	1.26	1.26	0.932	0.328	0.834	1.94	0.914	0.812	0.710	0.803	0.810
CESM2_BARPA	[-]	1.36	1.36	0.918	0.442	0.839	0.376	0.885	0.823	0.942	0.934	0.881
CESM2_CCAM	[-]	1.34	1.34	0.918	0.424	0.697	1.59	0.889	0.866	0.743	0.488	0.771
CMCC-ESM2_BARPA	[-]	1.41	1.41	0.918	0.491	1.44	1.91	0.874	0.688	0.770	0.982	0.800
CMCC-ESM2_CCAM	[-]	2.12	2.12	0.918	1.20	1.56	1.91	0.717	0.758	0.770	0.957	0.792
CMCC-ESM2_CMIP6	[-]	2.17	2.17	0.950	1.22	1.55	1.92	0.712	0.766	0.770	0.861	0.775
CNRM-ESM2-1_CCAM	[-]	0.676	0.677	0.918	-0.240	1.78	2.69	0.934	0.613	0.557	0.906	0.725
CNRM-ESM2-1_CMIP6	[-]	0.594	0.594	0.899	-0.304	1.83	3.05	0.917	0.602	0.498	0.912	0.706
EC-Earth3_BARPA	[-]	-0.125	-0.135	0.918	-1.05	1.86	2.69	0.747	0.661	0.557	0.358	0.597
EC-Earth3_CCAM	[-]	1.35	1.34	0.918	0.427	1.49	2.69	0.890	0.674	0.557	0.914	0.742
EC-Earth3_CMIP6	[-]	1.33	1.33	0.942	0.389	1.44	2.77	0.899	0.680	0.545	0.935	0.748
ERA5_BARPA	[-]	0.682	0.681	0.918	-0.236	0.439	1.19	0.936	0.902	0.805	0.972	0.903
ERA5_CCAM	[-]	0.966	0.968	0.918	0.0504	0.108	0.136	0.984	0.977	0.978	0.998	0.983
MPI-ESM1-2-HR_BARPA	[-]	1.85	1.84	0.918	0.918	1.88	2.47	0.782	0.638	0.613	0.717	0.678
NorESM2-MM_BARPA	[-]	1.50	1.50	0.918	0.585	0.890	0.378	0.849	0.833	0.938	0.897	0.870
NorESM2-MM_CCAM	[-]	1.31	1.31	0.918	0.393	0.803	1.92	0.896	0.829	0.753	0.450	0.752
NorESM2-MM_CMIP6	[-]	1.32	1.32	0.950	0.374	0.802	1.80	0.901	0.827	0.776	0.537	0.774

	Download Data	Period Mean (original grids) [m s**-1]	Model Period Mean (intersection) [m s**-1]	Benchmark Period Mean (intersection) [m s**-1]	Bias [m s**-1]	RMSE [m s**-1]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	1.76
ACCESS-CM2_BARPA	[-]	1.87	1.87	1.76	0.116	0.904	0.485	0.948	0.780	0.968	0.401	0.775
ACCESS-CM2_CCAM	[-]	2.67	2.69	1.76	0.932	1.51	0.859	0.776	0.720	0.943	0.943	0.820
ACCESS-CM2_CMIP6	[-]	1.96	1.96	1.87	0.0961	0.834	0.513	0.954	0.791	0.966	0.294	0.759
ACCESS-ESM1-5_BARPA	[-]	1.05	1.04	1.76	-0.713	1.16	0.532	0.815	0.773	0.965	0.559	0.777
ACCESS-ESM1-5_CCAM	[-]	1.95	1.96	1.76	0.208	1.17	0.316	0.904	0.734	0.979	0.782	0.827
ACCESS-ESM1-5_CMIP6	[-]	1.39	1.39	1.74	-0.349	0.958	0.00	0.896	0.786	1.00	0.177	0.729
CESM2_BARPA	[-]	1.28	1.30	1.76	-0.462	1.14	0.0962	0.857	0.759	0.982	0.836	0.839
CESM2_CCAM	[-]	1.30	1.31	1.76	-0.449	1.11	0.508	0.872	0.755	0.912	0.407	0.740
CMCC-ESM2_BARPA	[-]	1.73	1.74	1.76	-0.0211	1.17	1.02	0.914	0.730	0.933	0.644	0.790
CMCC-ESM2_CCAM	[-]	2.16	2.17	1.76	0.418	1.05	1.02	0.874	0.778	0.933	0.951	0.863
CMCC-ESM2_CMIP6	[-]	2.08	2.08	1.80	0.285	0.962	1.02	0.890	0.788	0.933	0.973	0.874
CNRM-ESM2-1_CCAM	[-]	1.69	1.68	1.76	-0.0737	1.23	0.175	0.974	0.706	0.988	0.989	0.872
CNRM-ESM2-1_CMIP6	[-]	1.59	1.59	1.74	-0.153	1.27	0.197	0.954	0.699	0.987	0.937	0.855
EC-Earth3_BARPA	[-]	1.91	1.90	1.76	0.140	1.50	0.00	0.952	0.654	1.00	0.896	0.831
EC-Earth3_CCAM	[-]	2.71	2.70	1.76	0.939	1.45	0.00	0.764	0.730	1.00	0.998	0.844
EC-Earth3_CMIP6	[-]	2.66	2.66	1.74	0.925	1.50	0.00	0.767	0.715	1.00	0.985	0.836
ERA5_BARPA	[-]	1.59	1.59	1.76	-0.170	0.319	0.00	0.952	0.926	1.00	0.990	0.959
ERA5_CCAM	[-]	1.78	1.77	1.76	0.0153	0.134	0.00	0.982	0.969	1.00	0.967	0.977
MPI-ESM1-2-HR_BARPA	[-]	3.40	3.40	1.76	1.65	2.22	1.02	0.625	0.654	0.933	0.689	0.711
NorESM2-MM_BARPA	[-]	1.04	1.05	1.76	-0.708	1.15	3.38	0.817	0.782	0.416	0.722	0.704
NorESM2-MM_CCAM	[-]	1.07	1.08	1.76	-0.680	1.20	4.13	0.822	0.767	0.235	0.755	0.669
NorESM2-MM_CMIP6	[-]	0.992	0.992	1.80	-0.807	1.28	4.19	0.794	0.763	0.224	0.852	0.679

	Download Data	Period Mean (original grids) [m s**-1]	Model Period Mean (intersection) [m s**-1]	Benchmark Period Mean (intersection) [m s**-1]	Bias [m s**-1]	RMSE [m s**-1]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	0.530
ACCESS-CM2_BARPA	[-]	1.15	1.15	0.530	0.617	0.923	0.212	0.798	0.779	0.974	0.978	0.861
ACCESS-CM2_CCAM	[-]	4.36	4.36	0.530	3.83	4.15	5.12	0.249	0.569	0.0754	0.912	0.475
ACCESS-CM2_CMIP6	[-]	0.971	0.971	0.508	0.462	0.815	1.01	0.846	0.782	0.876	0.956	0.848
ACCESS-ESM1-5_BARPA	[-]	0.0157	0.0129	0.530	-0.517	1.12	1.01	0.830	0.696	0.925	0.782	0.786
ACCESS-ESM1-5_CCAM	[-]	1.63	1.63	0.530	1.10	1.54	3.08	0.668	0.678	0.464	0.962	0.690
ACCESS-ESM1-5_CMIP6	[-]	0.661	0.661	0.502	0.159	0.825	1.30	0.943	0.742	0.869	0.993	0.858
CESM2_BARPA	[-]	0.468	0.459	0.530	-0.0709	0.968	0.314	0.947	0.706	0.979	0.948	0.857
CESM2_CCAM	[-]	0.774	0.769	0.530	0.239	0.656	0.979	0.902	0.816	0.910	0.799	0.849
CMCC-ESM2_BARPA	[-]	0.410	0.401	0.530	-0.129	1.05	1.54	0.938	0.687	0.838	0.948	0.820
CMCC-ESM2_CCAM	[-]	1.26	1.25	0.530	0.725	1.24	1.89	0.768	0.698	0.773	0.936	0.774
CMCC-ESM2_CMIP6	[-]	1.38	1.38	0.550	0.829	1.31	1.88	0.740	0.697	0.777	0.887	0.760
CNRM-ESM2-1_CCAM	[-]	0.568	0.568	0.530	0.0379	1.43	3.22	0.891	0.610	0.457	0.760	0.665
CNRM-ESM2-1_CMIP6	[-]	0.434	0.434	0.493	-0.0592	1.49	3.34	0.903	0.589	0.425	0.805	0.662
EC-Earth3_BARPA	[-]	-0.938	-0.941	0.530	-1.47	1.76	1.83	0.585	0.711	0.721	0.245	0.594
EC-Earth3_CCAM	[-]	0.806	0.802	0.530	0.272	1.08	2.70	0.903	0.689	0.555	0.967	0.760
EC-Earth3_CMIP6	[-]	0.801	0.801	0.548	0.253	0.972	2.71	0.912	0.716	0.553	0.982	0.776
ERA5_BARPA	[-]	0.293	0.289	0.530	-0.242	0.479	0.231	0.917	0.861	0.972	0.970	0.916
ERA5_CCAM	[-]	0.590	0.585	0.530	0.0546	0.140	0.00	0.974	0.957	1.00	0.997	0.977
MPI-ESM1-2-HR_BARPA	[-]	0.260	0.250	0.530	-0.280	1.16	0.878	0.888	0.671	0.941	0.854	0.805
NorESM2-MM_BARPA	[-]	1.20	1.19	0.530	0.663	1.04	1.83	0.783	0.749	0.780	0.889	0.790
NorESM2-MM_CCAM	[-]	1.02	1.01	0.530	0.483	0.978	2.03	0.836	0.740	0.749	0.604	0.734
NorESM2-MM_CMIP6	[-]	1.17	1.17	0.550	0.625	1.07	2.03	0.795	0.736	0.749	0.503	0.704

	Download Data	Period Mean (original grids) [m s**-1]	Model Period Mean (intersection) [m s**-1]	Benchmark Period Mean (intersection) [m s**-1]	Bias [m s**-1]	RMSE [m s**-1]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	0.242
ACCESS-CM2_BARPA	[-]	0.517	0.511	0.242	0.270	0.631	1.01	0.882	0.776	0.910	0.941	0.857
ACCESS-CM2_CCAM	[-]	3.71	3.70	0.242	3.46	3.67	4.22	0.201	0.563	0.232	0.661	0.444
ACCESS-CM2_CMIP6	[-]	0.455	0.455	0.236	0.219	0.609	0.814	0.907	0.773	0.926	0.917	0.859
ACCESS-ESM1-5_BARPA	[-]	0.201	0.197	0.242	-0.0443	0.777	1.36	0.931	0.701	0.866	0.852	0.810
ACCESS-ESM1-5_CCAM	[-]	1.12	1.11	0.242	0.872	1.20	1.39	0.665	0.688	0.844	0.888	0.754
ACCESS-ESM1-5_CMIP6	[-]	0.00391	0.00391	0.258	-0.254	0.649	1.26	0.887	0.762	0.880	0.742	0.807
CESM2_BARPA	[-]	-0.0386	-0.0413	0.242	-0.283	1.18	0.992	0.879	0.587	0.912	0.699	0.733
CESM2_CCAM	[-]	-0.0266	-0.0273	0.242	-0.269	0.634	0.595	0.857	0.790	0.958	0.350	0.749
CMCC-ESM2_BARPA	[-]	-0.346	-0.351	0.242	-0.593	1.08	1.55	0.757	0.662	0.756	0.323	0.632
CMCC-ESM2_CCAM	[-]	0.221	0.220	0.242	-0.0216	0.643	0.578	0.855	0.785	0.940	0.619	0.797
CMCC-ESM2_CMIP6	[-]	0.269	0.269	0.250	0.0188	0.700	0.740	0.847	0.764	0.908	0.615	0.780
CNRM-ESM2-1_CCAM	[-]	1.17	1.16	0.242	0.921	1.21	1.91	0.651	0.696	0.767	0.795	0.721
CNRM-ESM2-1_CMIP6	[-]	1.01	1.01	0.252	0.763	1.10	2.33	0.705	0.699	0.685	0.700	0.697
EC-Earth3_BARPA	[-]	-0.459	-0.463	0.242	-0.705	0.925	0.959	0.718	0.763	0.893	0.286	0.685
EC-Earth3_CCAM	[-]	0.587	0.582	0.242	0.341	0.678	2.75	0.851	0.763	0.554	0.937	0.774
EC-Earth3_CMIP6	[-]	0.501	0.501	0.240	0.261	0.610	2.69	0.884	0.776	0.553	0.937	0.785
ERA5_BARPA	[-]	0.268	0.266	0.242	0.0247	0.268	0.662	0.976	0.885	0.947	0.936	0.926
ERA5_CCAM	[-]	0.230	0.226	0.242	-0.0159	0.145	0.242	0.979	0.939	0.984	0.988	0.966
MPI-ESM1-2-HR_BARPA	[-]	-0.226	-0.227	0.242	-0.469	0.910	1.35	0.805	0.699	0.868	0.279	0.670
NorESM2-MM_BARPA	[-]	0.491	0.490	0.242	0.248	0.789	1.79	0.858	0.745	0.741	0.778	0.774
NorESM2-MM_CCAM	[-]	0.708	0.706	0.242	0.464	0.754	1.88	0.802	0.769	0.686	0.776	0.760
NorESM2-MM_CMIP6	[-]	0.686	0.686	0.250	0.436	0.749	2.27	0.814	0.759	0.617	0.834	0.756

	Download Data	Period Mean (original grids) [m s**-1]	Model Period Mean (intersection) [m s**-1]	Benchmark Period Mean (intersection) [m s**-1]	Bias [m s**-1]	RMSE [m s**-1]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	2.28
ACCESS-CM2_BARPA	[-]	2.09	2.10	2.28	-0.179	0.811	0.947	0.943	0.773	0.928	0.996	0.882
ACCESS-CM2_CCAM	[-]	2.33	2.34	2.28	0.0605	0.782	0.881	0.948	0.780	0.942	0.823	0.855
ACCESS-CM2_CMIP6	[-]	1.85	1.85	2.26	-0.418	0.897	1.01	0.872	0.771	0.917	0.999	0.866
ACCESS-ESM1-5_BARPA	[-]	1.37	1.38	2.28	-0.902	1.33	1.90	0.745	0.728	0.773	0.994	0.794
ACCESS-ESM1-5_CCAM	[-]	1.67	1.67	2.28	-0.605	1.25	1.76	0.820	0.701	0.792	0.991	0.801
ACCESS-ESM1-5_CMIP6	[-]	1.46	1.46	2.27	-0.813	1.27	1.78	0.766	0.730	0.789	0.991	0.801
CESM2_BARPA	[-]	1.19	1.20	2.28	-1.08	1.44	3.62	0.703	0.735	0.356	0.925	0.691
CESM2_CCAM	[-]	1.16	1.16	2.28	-1.12	1.50	3.62	0.693	0.724	0.358	0.990	0.698
CMCC-ESM2_BARPA	[-]	1.49	1.50	2.28	-0.782	1.12	4.78	0.774	0.777	0.229	0.947	0.701
CMCC-ESM2_CCAM	[-]	1.32	1.32	2.28	-0.957	1.26	4.29	0.732	0.768	0.231	0.810	0.662
CMCC-ESM2_CMIP6	[-]	1.27	1.27	2.26	-0.987	1.26	4.06	0.724	0.781	0.274	0.839	0.679
CNRM-ESM2-1_CCAM	[-]	2.27	2.27	2.28	-0.00724	1.07	2.23	0.979	0.705	0.702	0.959	0.810
CNRM-ESM2-1_CMIP6	[-]	2.23	2.23	2.26	-0.0316	1.06	2.02	0.972	0.708	0.717	0.987	0.818
EC-Earth3_BARPA	[-]	2.76	2.77	2.28	0.489	1.02	0.763	0.852	0.754	0.932	0.999	0.858
EC-Earth3_CCAM	[-]	3.04	3.04	2.28	0.763	1.07	0.706	0.779	0.785	0.921	0.991	0.852
EC-Earth3_CMIP6	[-]	3.07	3.07	2.27	0.806	1.12	0.753	0.768	0.778	0.919	0.998	0.848
ERA5_BARPA	[-]	2.11	2.11	2.28	-0.166	0.267	1.02	0.947	0.936	0.831	1.00	0.930
ERA5_CCAM	[-]	2.17	2.18	2.28	-0.102	0.156	0.121	0.966	0.966	0.989	0.998	0.977
MPI-ESM1-2-HR_BARPA	[-]	2.75	2.75	2.28	0.476	1.22	0.136	0.863	0.702	0.991	0.735	0.799
NorESM2-MM_BARPA	[-]	1.13	1.14	2.28	-1.14	1.48	4.22	0.690	0.743	0.219	0.935	0.666
NorESM2-MM_CCAM	[-]	0.584	0.589	2.28	-1.69	1.94	4.22	0.575	0.732	0.220	0.959	0.644
NorESM2-MM_CMIP6	[-]	0.562	0.562	2.26	-1.70	1.95	4.19	0.573	0.732	0.225	0.965	0.645

	Download Data	Period Mean (original grids) [m s**-1]	Model Period Mean (intersection) [m s**-1]	Benchmark Period Mean (intersection) [m s**-1]	Bias [m s**-1]	RMSE [m s**-1]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	1.31
ACCESS-CM2_BARPA	[-]	1.72	1.72	1.31	0.408	1.02	1.21	0.870	0.747	0.860	0.992	0.843
ACCESS-CM2_CCAM	[-]	3.85	3.85	1.31	2.54	2.86	2.31	0.448	0.660	0.642	0.925	0.667
ACCESS-CM2_CMIP6	[-]	1.64	1.64	1.30	0.334	0.959	1.28	0.882	0.754	0.846	0.973	0.842
ACCESS-ESM1-5_BARPA	[-]	1.08	1.08	1.31	-0.231	1.22	1.43	0.852	0.707	0.831	0.656	0.751
ACCESS-ESM1-5_CCAM	[-]	1.87	1.87	1.31	0.554	1.31	1.66	0.823	0.694	0.783	0.938	0.787
ACCESS-ESM1-5_CMIP6	[-]	1.17	1.17	1.31	-0.141	1.05	1.47	0.941	0.718	0.816	0.961	0.831
CESM2_BARPA	[-]	1.02	1.02	1.31	-0.293	1.37	2.49	0.906	0.650	0.613	0.987	0.761
CESM2_CCAM	[-]	0.849	0.845	1.31	-0.468	1.01	1.52	0.856	0.755	0.801	0.959	0.825
CMCC-ESM2_BARPA	[-]	0.952	0.949	1.31	-0.365	1.43	3.33	0.878	0.642	0.451	0.956	0.714
CMCC-ESM2_CCAM	[-]	1.03	1.03	1.31	-0.285	1.24	4.01	0.864	0.699	0.320	0.920	0.700
CMCC-ESM2_CMIP6	[-]	0.968	0.968	1.31	-0.340	1.23	3.94	0.851	0.705	0.330	0.919	0.702
CNRM-ESM2-1_CCAM	[-]	2.03	2.03	1.31	0.718	1.74	1.63	0.785	0.625	0.798	0.969	0.760
CNRM-ESM2-1_CMIP6	[-]	2.04	2.04	1.29	0.743	1.73	1.66	0.782	0.622	0.795	0.972	0.759
EC-Earth3_BARPA	[-]	1.14	1.14	1.31	-0.177	1.17	2.58	0.874	0.714	0.588	0.960	0.770
EC-Earth3_CCAM	[-]	1.93	1.93	1.31	0.614	1.06	2.06	0.820	0.778	0.693	0.976	0.809
EC-Earth3_CMIP6	[-]	1.90	1.90	1.32	0.587	1.03	2.07	0.828	0.779	0.691	0.969	0.809
ERA5_BARPA	[-]	1.23	1.22	1.31	-0.0913	0.391	1.57	0.972	0.884	0.747	0.998	0.897
ERA5_CCAM	[-]	1.30	1.30	1.31	-0.0166	0.120	0.266	0.983	0.967	0.964	0.999	0.976
MPI-ESM1-2-HR_BARPA	[-]	0.988	0.983	1.31	-0.330	1.36	2.49	0.857	0.664	0.610	0.884	0.736
NorESM2-MM_BARPA	[-]	1.29	1.28	1.31	-0.0291	1.18	2.88	0.908	0.697	0.530	0.982	0.763
NorESM2-MM_CCAM	[-]	1.19	1.19	1.31	-0.127	1.03	2.15	0.890	0.741	0.670	0.757	0.760
NorESM2-MM_CMIP6	[-]	1.15	1.15	1.31	-0.154	1.04	2.31	0.885	0.739	0.641	0.739	0.749

	Download Data	Period Mean (original grids) [m s**-1]	Model Period Mean (intersection) [m s**-1]	Benchmark Period Mean (intersection) [m s**-1]	Bias [m s**-1]	RMSE [m s**-1]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	0.518
ACCESS-CM2_BARPA	[-]	0.722	0.721	0.518	0.204	1.01	1.73	0.918	0.739	0.786	0.990	0.835
ACCESS-CM2_CCAM	[-]	1.64	1.64	0.518	1.13	1.54	1.29	0.704	0.721	0.882	0.907	0.787
ACCESS-CM2_CMIP6	[-]	0.715	0.715	0.516	0.199	0.982	1.42	0.917	0.745	0.856	0.975	0.847
ACCESS-ESM1-5_BARPA	[-]	0.817	0.817	0.518	0.299	1.24	1.96	0.827	0.724	0.750	0.669	0.739
ACCESS-ESM1-5_CCAM	[-]	0.629	0.630	0.518	0.112	1.34	1.23	0.922	0.661	0.894	0.955	0.819
ACCESS-ESM1-5_CMIP6	[-]	0.480	0.480	0.521	-0.0404	1.15	1.55	0.924	0.704	0.824	0.957	0.823
CESM2_BARPA	[-]	0.230	0.230	0.518	-0.288	1.24	3.69	0.904	0.692	0.356	0.969	0.723
CESM2_CCAM	[-]	0.724	0.723	0.518	0.205	1.24	2.48	0.820	0.734	0.605	0.711	0.721
CMCC-ESM2_BARPA	[-]	-0.00106	-0.00117	0.518	-0.519	1.86	5.09	0.848	0.574	0.159	0.965	0.624
CMCC-ESM2_CCAM	[-]	-0.429	-0.428	0.518	-0.946	1.69	4.32	0.742	0.651	0.270	0.887	0.640
CMCC-ESM2_CMIP6	[-]	-0.441	-0.441	0.492	-0.933	1.62	4.12	0.744	0.665	0.311	0.891	0.655
CNRM-ESM2-1_CCAM	[-]	0.696	0.697	0.518	0.180	1.42	1.46	0.903	0.649	0.835	0.968	0.801
CNRM-ESM2-1_CMIP6	[-]	0.762	0.762	0.533	0.229	1.41	1.53	0.914	0.649	0.817	0.978	0.802
EC-Earth3_BARPA	[-]	1.33	1.33	0.518	0.815	1.35	2.98	0.777	0.717	0.522	0.949	0.736
EC-Earth3_CCAM	[-]	1.29	1.29	0.518	0.775	1.11	1.12	0.786	0.788	0.857	0.943	0.832
EC-Earth3_CMIP6	[-]	1.27	1.27	0.523	0.744	1.08	1.22	0.794	0.790	0.849	0.949	0.834
ERA5_BARPA	[-]	0.438	0.438	0.518	-0.0797	0.402	0.970	0.974	0.884	0.843	0.999	0.917
ERA5_CCAM	[-]	0.528	0.528	0.518	0.0106	0.106	0.246	0.984	0.972	0.970	0.999	0.980
MPI-ESM1-2-HR_BARPA	[-]	0.0140	0.0137	0.518	-0.504	1.37	2.88	0.838	0.677	0.512	0.924	0.726
NorESM2-MM_BARPA	[-]	0.179	0.178	0.518	-0.339	1.30	2.14	0.901	0.685	0.688	0.969	0.786
NorESM2-MM_CCAM	[-]	0.200	0.202	0.518	-0.315	1.16	1.96	0.884	0.726	0.728	0.779	0.769
NorESM2-MM_CMIP6	[-]	0.194	0.194	0.492	-0.298	1.18	1.96	0.874	0.724	0.729	0.722	0.755

	Download Data	Period Mean (original grids) [m s**-1]	Model Period Mean (intersection) [m s**-1]	Benchmark Period Mean (intersection) [m s**-1]	Bias [m s**-1]	RMSE [m s**-1]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	0.754
ACCESS-CM2_BARPA	[-]	0.344	0.348	0.754	-0.407	1.37	3.61	0.878	0.657	0.380	0.966	0.707
ACCESS-CM2_CCAM	[-]	0.329	0.336	0.754	-0.419	1.42	3.61	0.874	0.648	0.380	0.897	0.689
ACCESS-CM2_CMIP6	[-]	0.480	0.480	0.976	-0.496	1.28	3.05	0.852	0.684	0.498	1.00	0.744
ACCESS-ESM1-5_BARPA	[-]	-0.355	-0.349	0.754	-1.10	1.52	2.59	0.701	0.714	0.612	0.188	0.586
ACCESS-ESM1-5_CCAM	[-]	0.0994	0.106	0.754	-0.648	1.37	2.59	0.812	0.680	0.612	0.776	0.712
ACCESS-ESM1-5_CMIP6	[-]	-0.459	-0.459	0.534	-0.993	1.47	3.05	0.728	0.708	0.499	0.149	0.558
CESM2_BARPA	[-]	-1.04	-1.04	0.754	-1.79	1.98	2.51	0.562	0.765	0.613	0.0714	0.555
CESM2_CCAM	[-]	-0.724	-0.715	0.754	-1.47	1.76	2.51	0.624	0.733	0.613	0.107	0.562
CMCC-ESM2_BARPA	[-]	-0.468	-0.464	0.754	-1.22	1.37	1.03	0.676	0.819	0.931	0.136	0.676
CMCC-ESM2_CCAM	[-]	-0.472	-0.468	0.754	-1.22	1.32	2.51	0.675	0.848	0.613	0.147	0.626
CMCC-ESM2_CMIP6	[-]	-0.366	-0.366	0.889	-1.26	1.38	1.03	0.667	0.829	0.930	0.0626	0.664
CNRM-ESM2-1_CCAM	[-]	1.35	1.35	0.754	0.595	1.32	5.53	0.826	0.684	0.0691	0.987	0.650
CNRM-ESM2-1_CMIP6	[-]	1.22	1.22	0.699	0.520	1.31	5.07	0.848	0.681	0.126	0.568	0.581
EC-Earth3_BARPA	[-]	1.24	1.24	0.754	0.486	0.751	3.53	0.855	0.832	0.381	0.984	0.777
EC-Earth3_CCAM	[-]	1.64	1.64	0.754	0.890	1.08	2.55	0.751	0.820	0.603	0.969	0.793
EC-Earth3_CMIP6	[-]	1.62	1.62	0.779	0.837	1.04	2.90	0.764	0.822	0.513	0.994	0.783
ERA5_BARPA	[-]	0.547	0.550	0.754	-0.204	0.315	2.51	0.937	0.926	0.613	0.997	0.880
ERA5_CCAM	[-]	0.694	0.698	0.754	-0.0557	0.139	1.66	0.976	0.966	0.753	0.945	0.921
MPI-ESM1-2-HR_BARPA	[-]	1.10	1.10	0.754	0.348	1.06	2.59	0.895	0.725	0.612	0.917	0.775
NorESM2-MM_BARPA	[-]	-1.01	-1.00	0.754	-1.76	1.84	4.54	0.568	0.839	0.181	0.0728	0.500
NorESM2-MM_CCAM	[-]	-1.16	-1.16	0.754	-1.91	2.01	2.51	0.541	0.813	0.613	0.0672	0.569
NorESM2-MM_CMIP6	[-]	-1.03	-1.03	0.889	-1.92	2.02	5.10	0.539	0.817	0.0631	0.0230	0.452

	Download Data	Period Mean (original grids) [m s**-1]	Model Period Mean (intersection) [m s**-1]	Benchmark Period Mean (intersection) [m s**-1]	Bias [m s**-1]	RMSE [m s**-1]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	0.598
ACCESS-CM2_BARPA	[-]	0.203	0.207	0.598	-0.390	1.41	4.92	0.882	0.646	0.151	0.893	0.644
ACCESS-CM2_CCAM	[-]	0.133	0.139	0.598	-0.459	1.44	4.92	0.862	0.644	0.151	0.839	0.628
ACCESS-CM2_CMIP6	[-]	0.275	0.275	0.686	-0.410	1.34	4.06	0.875	0.661	0.283	0.977	0.691
ACCESS-ESM1-5_BARPA	[-]	-0.441	-0.435	0.598	-1.03	1.49	3.99	0.716	0.706	0.294	0.121	0.509
ACCESS-ESM1-5_CCAM	[-]	-0.0729	-0.0665	0.598	-0.664	1.38	3.99	0.807	0.677	0.294	0.456	0.582
ACCESS-ESM1-5_CMIP6	[-]	-0.210	-0.210	0.636	-0.846	1.32	5.10	0.758	0.718	0.0631	0.00	0.451
CESM2_BARPA	[-]	-1.11	-1.10	0.598	-1.69	1.89	1.17	0.578	0.764	0.845	0.0528	0.601
CESM2_CCAM	[-]	-0.866	-0.858	0.598	-1.46	1.74	1.17	0.624	0.738	0.845	0.0646	0.602
CMCC-ESM2_BARPA	[-]	-0.568	-0.563	0.598	-1.16	1.31	1.49	0.687	0.822	0.839	0.0975	0.654
CMCC-ESM2_CCAM	[-]	-0.657	-0.651	0.598	-1.25	1.35	1.17	0.667	0.845	0.845	0.0753	0.656
CMCC-ESM2_CMIP6	[-]	-0.525	-0.525	0.645	-1.17	1.30	1.71	0.683	0.830	0.784	0.0904	0.643
CNRM-ESM2-1_CCAM	[-]	1.08	1.08	0.598	0.487	1.36	4.06	0.855	0.664	0.307	0.733	0.644
CNRM-ESM2-1_CMIP6	[-]	1.11	1.11	0.690	0.421	1.32	4.38	0.872	0.666	0.254	0.921	0.676
EC-Earth3_BARPA	[-]	1.13	1.14	0.598	0.541	0.792	2.13	0.839	0.830	0.700	0.988	0.837
EC-Earth3_CCAM	[-]	1.41	1.41	0.598	0.812	1.03	1.24	0.769	0.817	0.838	0.991	0.847
EC-Earth3_CMIP6	[-]	1.44	1.44	0.600	0.836	1.06	2.43	0.763	0.814	0.626	0.946	0.793
ERA5_BARPA	[-]	0.396	0.399	0.598	-0.199	0.289	1.17	0.938	0.935	0.845	0.957	0.922
ERA5_CCAM	[-]	0.468	0.473	0.598	-0.124	0.161	0.974	0.961	0.967	0.876	0.960	0.946
MPI-ESM1-2-HR_BARPA	[-]	0.837	0.837	0.598	0.240	1.00	3.99	0.925	0.730	0.294	0.988	0.734
NorESM2-MM_BARPA	[-]	-1.09	-1.08	0.598	-1.68	1.76	3.08	0.581	0.845	0.500	0.0536	0.565
NorESM2-MM_CCAM	[-]	-1.37	-1.37	0.598	-1.97	2.06	1.27	0.529	0.816	0.821	0.0442	0.605
NorESM2-MM_CMIP6	[-]	-1.16	-1.16	0.645	-1.80	1.90	3.74	0.556	0.819	0.351	0.0444	0.518

	Download Data	Period Mean (original grids) [m s**-1]	Model Period Mean (intersection) [m s**-1]	Benchmark Period Mean (intersection) [m s**-1]	Bias [m s**-1]	RMSE [m s**-1]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	1.85
ACCESS-CM2_BARPA	[-]	1.52	1.54	1.85	-0.308	0.838	0.910	0.905	0.777	0.902	0.917	0.855
ACCESS-CM2_CCAM	[-]	1.67	1.68	1.85	-0.173	0.767	0.695	0.926	0.791	0.948	0.514	0.794
ACCESS-CM2_CMIP6	[-]	1.55	1.55	1.90	-0.351	0.807	0.333	0.893	0.792	0.978	0.659	0.823
ACCESS-ESM1-5_BARPA	[-]	0.780	0.799	1.85	-1.05	1.36	1.67	0.711	0.755	0.814	0.939	0.795
ACCESS-ESM1-5_CCAM	[-]	1.16	1.17	1.85	-0.678	1.19	1.67	0.803	0.730	0.814	0.682	0.752
ACCESS-ESM1-5_CMIP6	[-]	0.882	0.882	1.85	-0.964	1.28	1.69	0.733	0.762	0.812	0.445	0.703
CESM2_BARPA	[-]	0.379	0.403	1.85	-1.45	1.71	3.39	0.625	0.746	0.413	0.706	0.647
CESM2_CCAM	[-]	0.720	0.731	1.85	-1.12	1.52	3.43	0.696	0.718	0.405	0.610	0.629
CMCC-ESM2_BARPA	[-]	0.796	0.817	1.85	-1.03	1.22	0.746	0.715	0.813	0.950	0.663	0.791
CMCC-ESM2_CCAM	[-]	0.848	0.853	1.85	-0.996	1.18	2.18	0.726	0.823	0.664	0.347	0.676
CMCC-ESM2_CMIP6	[-]	0.912	0.912	1.84	-0.927	1.10	1.01	0.741	0.825	0.883	0.543	0.764
CNRM-ESM2-1_CCAM	[-]	1.97	1.97	1.85	0.121	0.817	1.67	0.961	0.770	0.814	0.987	0.860
CNRM-ESM2-1_CMIP6	[-]	1.80	1.80	1.81	-0.0106	0.830	2.03	0.971	0.763	0.749	0.199	0.689
EC-Earth3_BARPA	[-]	2.14	2.16	1.85	0.310	0.791	0.374	0.904	0.792	0.975	0.996	0.892
EC-Earth3_CCAM	[-]	2.66	2.67	1.85	0.821	1.03	0.422	0.767	0.819	0.954	0.720	0.816
EC-Earth3_CMIP6	[-]	2.66	2.66	1.84	0.819	0.993	0.00	0.767	0.834	1.00	0.960	0.879
ERA5_BARPA	[-]	1.60	1.61	1.85	-0.235	0.315	0.296	0.926	0.935	0.980	0.999	0.955
ERA5_CCAM	[-]	1.69	1.70	1.85	-0.147	0.225	0.168	0.952	0.952	0.989	0.855	0.940
MPI-ESM1-2-HR_BARPA	[-]	2.69	2.71	1.85	0.856	1.31	0.360	0.760	0.728	0.976	0.400	0.719
NorESM2-MM_BARPA	[-]	0.319	0.341	1.85	-1.51	1.68	4.37	0.613	0.788	0.194	0.833	0.643
NorESM2-MM_CCAM	[-]	0.149	0.155	1.85	-1.69	1.90	4.42	0.578	0.760	0.183	0.375	0.531
NorESM2-MM_CMIP6	[-]	0.233	0.233	1.84	-1.61	1.81	4.59	0.594	0.765	0.153	0.750	0.605

	Download Data	Period Mean (original grids) [m s**-1]	Model Period Mean (intersection) [m s**-1]	Benchmark Period Mean (intersection) [m s**-1]	Bias [m s**-1]	RMSE [m s**-1]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	1.71
ACCESS-CM2_BARPA	[-]	1.44	1.45	1.71	-0.257	0.915	2.90	0.916	0.740	0.529	1.00	0.785
ACCESS-CM2_CCAM	[-]	1.40	1.41	1.71	-0.297	0.836	1.02	0.903	0.765	0.933	0.942	0.862
ACCESS-CM2_CMIP6	[-]	1.37	1.37	1.82	-0.444	0.933	2.04	0.859	0.754	0.713	0.724	0.761
ACCESS-ESM1-5_BARPA	[-]	0.838	0.846	1.71	-0.860	1.27	2.03	0.745	0.727	0.749	0.996	0.789
ACCESS-ESM1-5_CCAM	[-]	0.981	0.990	1.71	-0.717	1.26	2.03	0.782	0.702	0.749	0.995	0.786
ACCESS-ESM1-5_CMIP6	[-]	0.833	0.833	1.64	-0.812	1.21	2.03	0.758	0.735	0.749	0.351	0.666
CESM2_BARPA	[-]	0.469	0.481	1.71	-1.23	1.51	3.42	0.657	0.741	0.407	0.927	0.695
CESM2_CCAM	[-]	0.464	0.472	1.71	-1.24	1.54	3.53	0.654	0.730	0.379	0.973	0.693
CMCC-ESM2_BARPA	[-]	0.744	0.754	1.71	-0.953	1.17	5.68	0.721	0.795	0.0746	0.974	0.672
CMCC-ESM2_CCAM	[-]	0.453	0.461	1.71	-1.25	1.41	4.26	0.652	0.799	0.241	0.985	0.695
CMCC-ESM2_CMIP6	[-]	0.472	0.472	1.68	-1.20	1.39	4.29	0.658	0.785	0.234	0.993	0.691
CNRM-ESM2-1_CCAM	[-]	1.79	1.79	1.71	0.0879	1.04	4.64	0.970	0.700	0.267	1.00	0.727
CNRM-ESM2-1_CMIP6	[-]	1.56	1.56	1.55	0.0143	1.05	2.03	0.995	0.697	0.749	1.00	0.827
EC-Earth3_BARPA	[-]	2.29	2.29	1.71	0.587	0.788	1.07	0.817	0.836	0.882	0.995	0.873
EC-Earth3_CCAM	[-]	2.43	2.44	1.71	0.734	0.896	1.93	0.777	0.839	0.760	1.00	0.843
EC-Earth3_CMIP6	[-]	2.47	2.47	1.70	0.770	0.905	1.88	0.767	0.849	0.766	0.996	0.846
ERA5_BARPA	[-]	1.54	1.55	1.71	-0.157	0.253	3.33	0.948	0.934	0.383	1.00	0.840
ERA5_CCAM	[-]	1.58	1.59	1.71	-0.120	0.145	0.00	0.960	0.973	1.00	1.00	0.981
MPI-ESM1-2-HR_BARPA	[-]	1.96	1.96	1.71	0.256	0.966	0.00	0.917	0.728	1.00	0.715	0.817
NorESM2-MM_BARPA	[-]	0.470	0.484	1.71	-1.22	1.40	4.95	0.658	0.795	0.0903	0.931	0.654
NorESM2-MM_CCAM	[-]	-0.147	-0.138	1.71	-1.85	2.02	4.08	0.531	0.748	0.244	0.123	0.479
NorESM2-MM_CMIP6	[-]	-0.0608	-0.0608	1.68	-1.74	1.94	4.08	0.547	0.740	0.244	0.276	0.509

	Download Data	Period Mean (original grids) [m s**-1]	Model Period Mean (intersection) [m s**-1]	Benchmark Period Mean (intersection) [m s**-1]	Bias [m s**-1]	RMSE [m s**-1]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	1.83
ACCESS-CM2_BARPA	[-]	1.93	1.94	1.83	0.108	0.974	1.60	0.965	0.728	0.808	0.946	0.835
ACCESS-CM2_CCAM	[-]	2.31	2.32	1.83	0.491	1.11	1.60	0.852	0.723	0.808	0.981	0.817
ACCESS-CM2_CMIP6	[-]	1.97	1.97	2.15	-0.179	1.00	1.02	0.943	0.724	0.933	0.994	0.863
ACCESS-ESM1-5_BARPA	[-]	1.48	1.48	1.83	-0.350	1.20	1.93	0.892	0.687	0.756	0.711	0.747
ACCESS-ESM1-5_CCAM	[-]	1.55	1.56	1.83	-0.268	1.20	1.60	0.916	0.680	0.808	0.894	0.796
ACCESS-ESM1-5_CMIP6	[-]	1.39	1.39	1.59	-0.193	1.17	2.04	0.932	0.682	0.729	0.621	0.729
CESM2_BARPA	[-]	1.27	1.27	1.83	-0.555	1.24	3.50	0.833	0.696	0.387	0.906	0.704
CESM2_CCAM	[-]	1.07	1.07	1.83	-0.757	1.26	3.50	0.782	0.724	0.387	0.692	0.662
CMCC-ESM2_BARPA	[-]	1.32	1.32	1.83	-0.505	1.67	5.49	0.847	0.594	0.0732	0.993	0.620
CMCC-ESM2_CCAM	[-]	0.788	0.795	1.83	-1.03	1.82	4.52	0.711	0.612	0.186	0.985	0.621
CMCC-ESM2_CMIP6	[-]	0.872	0.872	1.86	-0.987	1.74	4.81	0.722	0.626	0.125	0.990	0.618
CNRM-ESM2-1_CCAM	[-]	2.07	2.08	1.83	0.247	1.22	2.54	0.922	0.674	0.607	0.981	0.772
CNRM-ESM2-1_CMIP6	[-]	2.05	2.05	1.80	0.252	1.25	2.23	0.921	0.671	0.674	0.988	0.785
EC-Earth3_BARPA	[-]	2.87	2.87	1.83	1.04	1.32	1.61	0.710	0.767	0.785	0.860	0.777
EC-Earth3_CCAM	[-]	2.86	2.86	1.83	1.03	1.32	1.45	0.711	0.765	0.819	0.993	0.811
EC-Earth3_CMIP6	[-]	2.79	2.79	1.79	0.994	1.29	1.43	0.719	0.762	0.822	0.983	0.810
ERA5_BARPA	[-]	1.78	1.78	1.83	-0.0466	0.323	4.78	0.985	0.900	0.210	0.999	0.799
ERA5_CCAM	[-]	1.88	1.89	1.83	0.0603	0.106	0.457	0.980	0.971	0.943	1.00	0.973
MPI-ESM1-2-HR_BARPA	[-]	1.68	1.68	1.83	-0.144	1.04	2.66	0.953	0.713	0.541	0.893	0.763
NorESM2-MM_BARPA	[-]	1.29	1.29	1.83	-0.539	1.34	3.50	0.838	0.670	0.387	0.894	0.692
NorESM2-MM_CCAM	[-]	0.647	0.653	1.83	-1.18	1.66	3.47	0.680	0.679	0.393	0.749	0.636
NorESM2-MM_CMIP6	[-]	0.647	0.647	1.86	-1.21	1.70	3.35	0.673	0.677	0.416	0.495	0.587

	Download Data	Period Mean (original grids) [m s**-1]	Model Period Mean (intersection) [m s**-1]	Benchmark Period Mean (intersection) [m s**-1]	Bias [m s**-1]	RMSE [m s**-1]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	-0.857
ACCESS-CM2_BARPA	[-]	-0.741	-0.749	-0.857	0.108	0.969	1.50	0.960	0.737	0.797	0.911	0.828
ACCESS-CM2_CCAM	[-]	-0.277	-0.275	-0.857	0.581	1.23	1.12	0.833	0.709	0.866	0.815	0.787
ACCESS-CM2_CMIP6	[-]	-0.691	-0.691	-0.866	0.174	0.943	1.58	0.946	0.744	0.804	0.984	0.844
ACCESS-ESM1-5_BARPA	[-]	0.0243	0.0261	-0.857	0.883	1.20	1.14	0.755	0.771	0.897	0.478	0.734
ACCESS-ESM1-5_CCAM	[-]	-0.455	-0.455	-0.857	0.401	1.20	1.71	0.880	0.698	0.777	0.963	0.803
ACCESS-ESM1-5_CMIP6	[-]	-0.608	-0.608	-0.866	0.257	0.814	1.11	0.921	0.783	0.908	0.805	0.840
CESM2_BARPA	[-]	-0.474	-0.478	-0.857	0.378	0.735	0.942	0.880	0.833	0.931	0.450	0.785
CESM2_CCAM	[-]	0.353	0.346	-0.857	1.20	1.33	1.10	0.683	0.846	0.853	0.117	0.669
CMCC-ESM2_BARPA	[-]	-1.13	-1.14	-0.857	-0.280	1.12	1.64	0.915	0.711	0.808	0.907	0.810
CMCC-ESM2_CCAM	[-]	-1.70	-1.70	-0.857	-0.844	1.16	1.12	0.764	0.777	0.912	0.977	0.842
CMCC-ESM2_CMIP6	[-]	-1.64	-1.64	-0.851	-0.787	1.10	1.11	0.777	0.783	0.917	0.965	0.845
CNRM-ESM2-1_CCAM	[-]	-1.40	-1.40	-0.857	-0.546	1.30	1.82	0.841	0.691	0.763	0.807	0.759
CNRM-ESM2-1_CMIP6	[-]	-1.33	-1.33	-0.836	-0.494	1.27	1.79	0.855	0.693	0.759	0.957	0.792
EC-Earth3_BARPA	[-]	-0.207	-0.218	-0.857	0.639	1.04	0.840	0.817	0.770	0.897	0.828	0.817
EC-Earth3_CCAM	[-]	-0.643	-0.651	-0.857	0.206	0.688	1.11	0.923	0.819	0.852	0.855	0.854
EC-Earth3_CMIP6	[-]	-0.587	-0.587	-0.854	0.267	0.685	1.10	0.911	0.825	0.855	0.830	0.849
ERA5_BARPA	[-]	-0.948	-0.948	-0.857	-0.0917	0.252	0.287	0.971	0.929	0.966	0.994	0.958
ERA5_CCAM	[-]	-0.922	-0.922	-0.857	-0.0653	0.121	0.540	0.977	0.971	0.935	0.961	0.963
MPI-ESM1-2-HR_BARPA	[-]	-1.50	-1.50	-0.857	-0.643	1.22	1.13	0.814	0.718	0.863	0.980	0.819
NorESM2-MM_BARPA	[-]	-0.789	-0.795	-0.857	0.0613	0.846	0.994	0.939	0.772	0.920	0.496	0.780
NorESM2-MM_CCAM	[-]	-0.785	-0.783	-0.857	0.0735	0.884	1.12	0.972	0.756	0.905	0.935	0.865
NorESM2-MM_CMIP6	[-]	-0.667	-0.667	-0.851	0.184	0.888	1.22	0.943	0.758	0.891	0.970	0.864

	Download Data	Period Mean (original grids) [m s**-1]	Model Period Mean (intersection) [m s**-1]	Benchmark Period Mean (intersection) [m s**-1]	Bias [m s**-1]	RMSE [m s**-1]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	-0.204
ACCESS-CM2_BARPA	[-]	0.340	0.323	-0.204	0.527	0.773	0.0106	0.777	0.762	0.999	0.445	0.749
ACCESS-CM2_CCAM	[-]	3.41	3.39	-0.204	3.59	3.88	5.56	0.181	0.502	0.0390	0.109	0.267
ACCESS-CM2_CMIP6	[-]	-0.257	-0.257	-0.339	0.0820	0.564	1.01	0.942	0.743	0.813	0.605	0.769
ACCESS-ESM1-5_BARPA	[-]	-0.586	-0.594	-0.204	-0.391	0.800	0.420	0.833	0.718	0.972	0.596	0.768
ACCESS-ESM1-5_CCAM	[-]	0.714	0.693	-0.204	0.896	1.33	4.82	0.657	0.625	0.119	0.264	0.458
ACCESS-ESM1-5_CMIP6	[-]	-0.0549	-0.0549	-0.170	0.115	0.721	2.64	0.949	0.715	0.585	0.896	0.772
CESM2_BARPA	[-]	-0.472	-0.497	-0.204	-0.294	0.744	0.00	0.851	0.727	1.00	0.724	0.806
CESM2_CCAM	[-]	0.432	0.419	-0.204	0.623	0.766	0.696	0.741	0.806	0.954	0.374	0.736
CMCC-ESM2_BARPA	[-]	-0.506	-0.532	-0.204	-0.328	0.947	3.51	0.841	0.662	0.417	0.716	0.660
CMCC-ESM2_CCAM	[-]	0.843	0.832	-0.204	1.04	1.26	2.04	0.606	0.712	0.747	0.263	0.608
CMCC-ESM2_CMIP6	[-]	0.797	0.797	-0.226	1.02	1.24	1.80	0.604	0.714	0.790	0.295	0.623
CNRM-ESM2-1_CCAM	[-]	-0.399	-0.411	-0.204	-0.207	1.11	3.91	0.899	0.600	0.286	0.835	0.644
CNRM-ESM2-1_CMIP6	[-]	-0.541	-0.541	-0.307	-0.234	0.989	4.07	0.887	0.614	0.248	0.714	0.615
EC-Earth3_BARPA	[-]	-1.85	-1.86	-0.204	-1.66	1.84	2.58	0.450	0.690	0.575	0.824	0.646
EC-Earth3_CCAM	[-]	0.0358	0.0218	-0.204	0.225	0.865	3.05	0.896	0.678	0.498	0.782	0.706
EC-Earth3_CMIP6	[-]	0.00306	0.00306	-0.206	0.209	0.806	3.05	0.902	0.691	0.498	0.827	0.722
ERA5_BARPA	[-]	-0.441	-0.451	-0.204	-0.247	0.401	0.255	0.891	0.863	0.983	0.830	0.886
ERA5_CCAM	[-]	-0.169	-0.183	-0.204	0.0204	0.228	0.00	0.957	0.907	1.00	0.888	0.932
MPI-ESM1-2-HR_BARPA	[-]	-0.633	-0.659	-0.204	-0.456	0.871	1.02	0.790	0.723	0.933	0.718	0.778
NorESM2-MM_BARPA	[-]	0.565	0.550	-0.204	0.754	1.06	2.02	0.695	0.697	0.750	0.313	0.630
NorESM2-MM_CCAM	[-]	0.695	0.684	-0.204	0.887	1.14	2.03	0.651	0.710	0.749	0.275	0.619
NorESM2-MM_CMIP6	[-]	0.732	0.732	-0.226	0.958	1.20	2.03	0.620	0.697	0.749	0.244	0.601

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:: ERA5 pressure-levels monthly-averaged v_component_of_wind 19590101-19590131

History:: Wed Dec 14 20:26:46 2022: cdo -b F64 cat va300/va300_era5_moda_pl_19590101-19590131.nc va300/va300_era5_moda_pl_19590201-19590228.nc va300/va300_era5_moda_pl_19590301-19590331.nc va300/va300_era5_moda_pl_19590401-19590430.nc va300/va300_era5_moda_pl_19590501-19590531.nc va300/va300_era5_moda_pl_19590601-19590630.nc va300/va300_era5_moda_pl_19590701-19590731.nc va300/va300_era5_moda_pl_19590801-19590831.nc va300/va300_era5_moda_pl_19590901-19590930.nc va300/va300_era5_moda_pl_19591001-19591031.nc va300/va300_era5_moda_pl_19591101-19591130.nc va300/va300_era5_moda_pl_19591201-19591231.nc va300/va300_era5_moda_pl_19600101-19600131.nc va300/va300_era5_moda_pl_19600201-19600229.nc va300/va300_era5_moda_pl_19600301-19600331.nc va300/va300_era5_moda_pl_19600401-19600430.nc va300/va300_era5_moda_pl_19600501-19600531.nc va300/va300_era5_moda_pl_19600601-19600630.nc va300/va300_era5_moda_pl_19600701-19600731.nc va300/va300_era5_moda_pl_19600801-19600831.nc va300/va300_era5_moda_pl_19600901-19600930.nc va300/va300_era5_moda_pl_19601001-19601031.nc va300/va300_era5_moda_pl_19601101-19601130.nc va300/va300_era5_moda_pl_19601201-19601231.nc va300/va300_era5_moda_pl_19610101-19610131.nc va300/va300_era5_moda_pl_19610201-19610228.nc va300/va300_era5_moda_pl_19610301-19610331.nc va300/va300_era5_moda_pl_19610401-19610430.nc va300/va300_era5_moda_pl_19610501-19610531.nc va300/va300_era5_moda_pl_19610601-19610630.nc va300/va300_era5_moda_pl_19610701-19610731.nc va300/va300_era5_moda_pl_19610801-19610831.nc va300/va300_era5_moda_pl_19610901-19610930.nc va300/va300_era5_moda_pl_19611001-19611031.nc va300/va300_era5_moda_pl_19611101-19611130.nc va300/va300_era5_moda_pl_19611201-19611231.nc va300/va300_era5_moda_pl_19620101-19620131.nc va300/va300_era5_moda_pl_19620201-19620228.nc va300/va300_era5_moda_pl_19620301-19620331.nc va300/va300_era5_moda_pl_19620401-19620430.nc va300/va300_era5_moda_pl_19620501-19620531.nc va300/va300_era5_moda_pl_19620601-19620630.nc va300/va300_era5_moda_pl_19620701-19620731.nc va300/va300_era5_moda_pl_19620801-19620831.nc va300/va300_era5_moda_pl_19620901-19620930.nc va300/va300_era5_moda_pl_19621001-19621031.nc va300/va300_era5_moda_pl_19621101-19621130.nc va300/va300_era5_moda_pl_19621201-19621231.nc va300/va300_era5_moda_pl_19630101-19630131.nc va300/va300_era5_moda_pl_19630201-19630228.nc va300/va300_era5_moda_pl_19630301-19630331.nc va300/va300_era5_moda_pl_19630401-19630430.nc va300/va300_era5_moda_pl_19630501-19630531.nc va300/va300_era5_moda_pl_19630601-19630630.nc va300/va300_era5_moda_pl_19630701-19630731.nc va300/va300_era5_moda_pl_19630801-19630831.nc va300/va300_era5_moda_pl_19630901-19630930.nc va300/va300_era5_moda_pl_19631001-19631031.nc va300/va300_era5_moda_pl_19631101-19631130.nc va300/va300_era5_moda_pl_19631201-19631231.nc va300/va300_era5_moda_pl_19640101-19640131.nc va300/va300_era5_moda_pl_19640201-19640229.nc va300/va300_era5_moda_pl_19640301-19640331.nc va300/va300_era5_moda_pl_19640401-19640430.nc va300/va300_era5_moda_pl_19640501-19640531.nc va300/va300_era5_moda_pl_19640601-19640630.nc va300/va300_era5_moda_pl_19640701-19640731.nc va300/va300_era5_moda_pl_19640801-19640831.nc va300/va300_era5_moda_pl_19640901-19640930.nc va300/va300_era5_moda_pl_19641001-19641031.nc va300/va300_era5_moda_pl_19641101-19641130.nc va300/va300_era5_moda_pl_19641201-19641231.nc va300/va300_era5_moda_pl_19650101-19650131.nc va300/va300_era5_moda_pl_19650201-19650228.nc va300/va300_era5_moda_pl_19650301-19650331.nc va300/va300_era5_moda_pl_19650401-19650430.nc va300/va300_era5_moda_pl_19650501-19650531.nc va300/va300_era5_moda_pl_19650601-19650630.nc va300/va300_era5_moda_pl_19650701-19650731.nc va300/va300_era5_moda_pl_19650801-19650831.nc va300/va300_era5_moda_pl_19650901-19650930.nc va300/va300_era5_moda_pl_19651001-19651031.nc va300/va300_era5_moda_pl_19651101-19651130.nc va300/va300_era5_moda_pl_19651201-19651231.nc va300/va300_era5_moda_pl_19660101-19660131.nc va300/va300_era5_moda_pl_19660201-19660228.nc va300/va300_era5_moda_pl_19660301-19660331.nc va300/va300_era5_moda_pl_19660401-19660430.nc va300/va300_era5_moda_pl_19660501-19660531.nc va300/va300_era5_moda_pl_19660601-19660630.nc va300/va300_era5_moda_pl_19660701-19660731.nc va300/va300_era5_moda_pl_19660801-19660831.nc va300/va300_era5_moda_pl_19660901-19660930.nc va300/va300_era5_moda_pl_19661001-19661031.nc va300/va300_era5_moda_pl_19661101-19661130.nc va300/va300_era5_moda_pl_19661201-19661231.nc va300/va300_era5_moda_pl_19670101-19670131.nc va300/va300_era5_moda_pl_19670201-19670228.nc va300/va300_era5_moda_pl_19670301-19670331.nc va300/va300_era5_moda_pl_19670401-19670430.nc va300/va300_era5_moda_pl_19670501-19670531.nc va300/va300_era5_moda_pl_19670601-19670630.nc va300/va300_era5_moda_pl_19670701-19670731.nc va300/va300_era5_moda_pl_19670801-19670831.nc va300/va300_era5_moda_pl_19670901-19670930.nc va300/va300_era5_moda_pl_19671001-19671031.nc va300/va300_era5_moda_pl_19671101-19671130.nc va300/va300_era5_moda_pl_19671201-19671231.nc va300/va300_era5_moda_pl_19680101-19680131.nc va300/va300_era5_moda_pl_19680201-19680229.nc va300/va300_era5_moda_pl_19680301-19680331.nc va300/va300_era5_moda_pl_19680401-19680430.nc va300/va300_era5_moda_pl_19680501-19680531.nc va300/va300_era5_moda_pl_19680601-19680630.nc va300/va300_era5_moda_pl_19680701-19680731.nc va300/va300_era5_moda_pl_19680801-19680831.nc va300/va300_era5_moda_pl_19680901-19680930.nc va300/va300_era5_moda_pl_19681001-19681031.nc va300/va300_era5_moda_pl_19681101-19681130.nc va300/va300_era5_moda_pl_19681201-19681231.nc va300/va300_era5_moda_pl_19690101-19690131.nc va300/va300_era5_moda_pl_19690201-19690228.nc va300/va300_era5_moda_pl_19690301-19690331.nc va300/va300_era5_moda_pl_19690401-19690430.nc va300/va300_era5_moda_pl_19690501-19690531.nc va300/va300_era5_moda_pl_19690601-19690630.nc va300/va300_era5_moda_pl_19690701-19690731.nc va300/va300_era5_moda_pl_19690801-19690831.nc va300/va300_era5_moda_pl_19690901-19690930.nc va300/va300_era5_moda_pl_19691001-19691031.nc va300/va300_era5_moda_pl_19691101-19691130.nc va300/va300_era5_moda_pl_19691201-19691231.nc va300/va300_era5_moda_pl_19700101-19700131.nc va300/va300_era5_moda_pl_19700201-19700228.nc va300/va300_era5_moda_pl_19700301-19700331.nc va300/va300_era5_moda_pl_19700401-19700430.nc va300/va300_era5_moda_pl_19700501-19700531.nc va300/va300_era5_moda_pl_19700601-19700630.nc va300/va300_era5_moda_pl_19700701-19700731.nc va300/va300_era5_moda_pl_19700801-19700831.nc va300/va300_era5_moda_pl_19700901-19700930.nc va300/va300_era5_moda_pl_19701001-19701031.nc va300/va300_era5_moda_pl_19701101-19701130.nc va300/va300_era5_moda_pl_19701201-19701231.nc va300/va300_era5_moda_pl_19710101-19710131.nc va300/va300_era5_moda_pl_19710201-19710228.nc va300/va300_era5_moda_pl_19710301-19710331.nc va300/va300_era5_moda_pl_19710401-19710430.nc va300/va300_era5_moda_pl_19710501-19710531.nc va300/va300_era5_moda_pl_19710601-19710630.nc va300/va300_era5_moda_pl_19710701-19710731.nc va300/va300_era5_moda_pl_19710801-19710831.nc va300/va300_era5_moda_pl_19710901-19710930.nc va300/va300_era5_moda_pl_19711001-19711031.nc va300/va300_era5_moda_pl_19711101-19711130.nc va300/va300_era5_moda_pl_19711201-19711231.nc va300/va300_era5_moda_pl_19720101-19720131.nc va300/va300_era5_moda_pl_19720201-19720229.nc va300/va300_era5_moda_pl_19720301-19720331.nc va300/va300_era5_moda_pl_19720401-19720430.nc va300/va300_era5_moda_pl_19720501-19720531.nc va300/va300_era5_moda_pl_19720601-19720630.nc va300/va300_era5_moda_pl_19720701-19720731.nc va300/va300_era5_moda_pl_19720801-19720831.nc va300/va300_era5_moda_pl_19720901-19720930.nc va300/va300_era5_moda_pl_19721001-19721031.nc va300/va300_era5_moda_pl_19721101-19721130.nc va300/va300_era5_moda_pl_19721201-19721231.nc va300/va300_era5_moda_pl_19730101-19730131.nc va300/va300_era5_moda_pl_19730201-19730228.nc va300/va300_era5_moda_pl_19730301-19730331.nc va300/va300_era5_moda_pl_19730401-19730430.nc va300/va300_era5_moda_pl_19730501-19730531.nc va300/va300_era5_moda_pl_19730601-19730630.nc va300/va300_era5_moda_pl_19730701-19730731.nc va300/va300_era5_moda_pl_19730801-19730831.nc va300/va300_era5_moda_pl_19730901-19730930.nc va300/va300_era5_moda_pl_19731001-19731031.nc va300/va300_era5_moda_pl_19731101-19731130.nc va300/va300_era5_moda_pl_19731201-19731231.nc va300/va300_era5_moda_pl_19740101-19740131.nc va300/va300_era5_moda_pl_19740201-19740228.nc va300/va300_era5_moda_pl_19740301-19740331.nc va300/va300_era5_moda_pl_19740401-19740430.nc va300/va300_era5_moda_pl_19740501-19740531.nc va300/va300_era5_moda_pl_19740601-19740630.nc va300/va300_era5_moda_pl_19740701-19740731.nc va300/va300_era5_moda_pl_19740801-19740831.nc va300/va300_era5_moda_pl_19740901-19740930.nc va300/va300_era5_moda_pl_19741001-19741031.nc va300/va300_era5_moda_pl_19741101-19741130.nc va300/va300_era5_moda_pl_19741201-19741231.nc va300/va300_era5_moda_pl_19750101-19750131.nc va300/va300_era5_moda_pl_19750201-19750228.nc va300/va300_era5_moda_pl_19750301-19750331.nc va300/va300_era5_moda_pl_19750401-19750430.nc va300/va300_era5_moda_pl_19750501-19750531.nc va300/va300_era5_moda_pl_19750601-19750630.nc va300/va300_era5_moda_pl_19750701-19750731.nc va300/va300_era5_moda_pl_19750801-19750831.nc va300/va300_era5_moda_pl_19750901-19750930.nc va300/va300_era5_moda_pl_19751001-19751031.nc va300/va300_era5_moda_pl_19751101-19751130.nc va300/va300_era5_moda_pl_19751201-19751231.nc va300/va300_era5_moda_pl_19760101-19760131.nc va300/va300_era5_moda_pl_19760201-19760229.nc va300/va300_era5_moda_pl_19760301-19760331.nc va300/va300_era5_moda_pl_19760401-19760430.nc va300/va300_era5_moda_pl_19760501-19760531.nc va300/va300_era5_moda_pl_19760601-19760630.nc va300/va300_era5_moda_pl_19760701-19760731.nc va300/va300_era5_moda_pl_19760801-19760831.nc va300/va300_era5_moda_pl_19760901-19760930.nc va300/va300_era5_moda_pl_19761001-19761031.nc va300/va300_era5_moda_pl_19761101-19761130.nc va300/va300_era5_moda_pl_19761201-19761231.nc va300/va300_era5_moda_pl_19770101-19770131.nc va300/va300_era5_moda_pl_19770201-19770228.nc va300/va300_era5_moda_pl_19770301-19770331.nc va300/va300_era5_moda_pl_19770401-19770430.nc va300/va300_era5_moda_pl_19770501-19770531.nc va300/va300_era5_moda_pl_19770601-19770630.nc va300/va300_era5_moda_pl_19770701-19770731.nc va300/va300_era5_moda_pl_19770801-19770831.nc va300/va300_era5_moda_pl_19770901-19770930.nc va300/va300_era5_moda_pl_19771001-19771031.nc va300/va300_era5_moda_pl_19771101-19771130.nc va300/va300_era5_moda_pl_19771201-19771231.nc va300/va300_era5_moda_pl_19780101-19780131.nc va300/va300_era5_moda_pl_19780201-19780228.nc va300/va300_era5_moda_pl_19780301-19780331.nc va300/va300_era5_moda_pl_19780401-19780430.nc va300/va300_era5_moda_pl_19780501-19780531.nc va300/va300_era5_moda_pl_19780601-19780630.nc va300/va300_era5_moda_pl_19780701-19780731.nc va300/va300_era5_moda_pl_19780801-19780831.nc va300/va300_era5_moda_pl_19780901-19780930.nc va300/va300_era5_moda_pl_19781001-19781031.nc va300/va300_era5_moda_pl_19781101-19781130.nc va300/va300_era5_moda_pl_19781201-19781231.nc va300/va300_era5_moda_pl_19790101-19790131.nc va300/va300_era5_moda_pl_19790201-19790228.nc va300/va300_era5_moda_pl_19790301-19790331.nc va300/va300_era5_moda_pl_19790401-19790430.nc va300/va300_era5_moda_pl_19790501-19790531.nc va300/va300_era5_moda_pl_19790601-19790630.nc va300/va300_era5_moda_pl_19790701-19790731.nc va300/va300_era5_moda_pl_19790801-19790831.nc va300/va300_era5_moda_pl_19790901-19790930.nc va300/va300_era5_moda_pl_19791001-19791031.nc va300/va300_era5_moda_pl_19791101-19791130.nc va300/va300_era5_moda_pl_19791201-19791231.nc va300/va300_era5_moda_pl_19800101-19800131.nc va300/va300_era5_moda_pl_19800201-19800229.nc va300/va300_era5_moda_pl_19800301-19800331.nc va300/va300_era5_moda_pl_19800401-19800430.nc va300/va300_era5_moda_pl_19800501-19800531.nc va300/va300_era5_moda_pl_19800601-19800630.nc va300/va300_era5_moda_pl_19800701-19800731.nc va300/va300_era5_moda_pl_19800801-19800831.nc va300/va300_era5_moda_pl_19800901-19800930.nc va300/va300_era5_moda_pl_19801001-19801031.nc va300/va300_era5_moda_pl_19801101-19801130.nc va300/va300_era5_moda_pl_19801201-19801231.nc va300/va300_era5_moda_pl_19810101-19810131.nc va300/va300_era5_moda_pl_19810201-19810228.nc va300/va300_era5_moda_pl_19810301-19810331.nc va300/va300_era5_moda_pl_19810401-19810430.nc va300/va300_era5_moda_pl_19810501-19810531.nc va300/va300_era5_moda_pl_19810601-19810630.nc va300/va300_era5_moda_pl_19810701-19810731.nc va300/va300_era5_moda_pl_19810801-19810831.nc va300/va300_era5_moda_pl_19810901-19810930.nc va300/va300_era5_moda_pl_19811001-19811031.nc va300/va300_era5_moda_pl_19811101-19811130.nc va300/va300_era5_moda_pl_19811201-19811231.nc va300/va300_era5_moda_pl_19820101-19820131.nc va300/va300_era5_moda_pl_19820201-19820228.nc va300/va300_era5_moda_pl_19820301-19820331.nc va300/va300_era5_moda_pl_19820401-19820430.nc va300/va300_era5_moda_pl_19820501-19820531.nc va300/va300_era5_moda_pl_19820601-19820630.nc va300/va300_era5_moda_pl_19820701-19820731.nc va300/va300_era5_moda_pl_19820801-19820831.nc va300/va300_era5_moda_pl_19820901-19820930.nc va300/va300_era5_moda_pl_19821001-19821031.nc va300/va300_era5_moda_pl_19821101-19821130.nc va300/va300_era5_moda_pl_19821201-19821231.nc va300/va300_era5_moda_pl_19830101-19830131.nc va300/va300_era5_moda_pl_19830201-19830228.nc va300/va300_era5_moda_pl_19830301-19830331.nc va300/va300_era5_moda_pl_19830401-19830430.nc va300/va300_era5_moda_pl_19830501-19830531.nc va300/va300_era5_moda_pl_19830601-19830630.nc va300/va300_era5_moda_pl_19830701-19830731.nc va300/va300_era5_moda_pl_19830801-19830831.nc va300/va300_era5_moda_pl_19830901-19830930.nc va300/va300_era5_moda_pl_19831001-19831031.nc va300/va300_era5_moda_pl_19831101-19831130.nc va300/va300_era5_moda_pl_19831201-19831231.nc va300/va300_era5_moda_pl_19840101-19840131.nc va300/va300_era5_moda_pl_19840201-19840229.nc va300/va300_era5_moda_pl_19840301-19840331.nc va300/va300_era5_moda_pl_19840401-19840430.nc va300/va300_era5_moda_pl_19840501-19840531.nc va300/va300_era5_moda_pl_19840601-19840630.nc va300/va300_era5_moda_pl_19840701-19840731.nc va300/va300_era5_moda_pl_19840801-19840831.nc va300/va300_era5_moda_pl_19840901-19840930.nc va300/va300_era5_moda_pl_19841001-19841031.nc va300/va300_era5_moda_pl_19841101-19841130.nc va300/va300_era5_moda_pl_19841201-19841231.nc va300/va300_era5_moda_pl_19850101-19850131.nc va300/va300_era5_moda_pl_19850201-19850228.nc va300/va300_era5_moda_pl_19850301-19850331.nc va300/va300_era5_moda_pl_19850401-19850430.nc va300/va300_era5_moda_pl_19850501-19850531.nc va300/va300_era5_moda_pl_19850601-19850630.nc va300/va300_era5_moda_pl_19850701-19850731.nc va300/va300_era5_moda_pl_19850801-19850831.nc va300/va300_era5_moda_pl_19850901-19850930.nc va300/va300_era5_moda_pl_19851001-19851031.nc va300/va300_era5_moda_pl_19851101-19851130.nc va300/va300_era5_moda_pl_19851201-19851231.nc va300/va300_era5_moda_pl_19860101-19860131.nc va300/va300_era5_moda_pl_19860201-19860228.nc va300/va300_era5_moda_pl_19860301-19860331.nc va300/va300_era5_moda_pl_19860401-19860430.nc va300/va300_era5_moda_pl_19860501-19860531.nc va300/va300_era5_moda_pl_19860601-19860630.nc va300/va300_era5_moda_pl_19860701-19860731.nc va300/va300_era5_moda_pl_19860801-19860831.nc va300/va300_era5_moda_pl_19860901-19860930.nc va300/va300_era5_moda_pl_19861001-19861031.nc va300/va300_era5_moda_pl_19861101-19861130.nc va300/va300_era5_moda_pl_19861201-19861231.nc va300/va300_era5_moda_pl_19870101-19870131.nc va300/va300_era5_moda_pl_19870201-19870228.nc va300/va300_era5_moda_pl_19870301-19870331.nc va300/va300_era5_moda_pl_19870401-19870430.nc va300/va300_era5_moda_pl_19870501-19870531.nc va300/va300_era5_moda_pl_19870601-19870630.nc va300/va300_era5_moda_pl_19870701-19870731.nc va300/va300_era5_moda_pl_19870801-19870831.nc va300/va300_era5_moda_pl_19870901-19870930.nc va300/va300_era5_moda_pl_19871001-19871031.nc va300/va300_era5_moda_pl_19871101-19871130.nc va300/va300_era5_moda_pl_19871201-19871231.nc va300/va300_era5_moda_pl_19880101-19880131.nc va300/va300_era5_moda_pl_19880201-19880229.nc va300/va300_era5_moda_pl_19880301-19880331.nc va300/va300_era5_moda_pl_19880401-19880430.nc va300/va300_era5_moda_pl_19880501-19880531.nc va300/va300_era5_moda_pl_19880601-19880630.nc va300/va300_era5_moda_pl_19880701-19880731.nc va300/va300_era5_moda_pl_19880801-19880831.nc va300/va300_era5_moda_pl_19880901-19880930.nc va300/va300_era5_moda_pl_19881001-19881031.nc va300/va300_era5_moda_pl_19881101-19881130.nc va300/va300_era5_moda_pl_19881201-19881231.nc va300/va300_era5_moda_pl_19890101-19890131.nc va300/va300_era5_moda_pl_19890201-19890228.nc va300/va300_era5_moda_pl_19890301-19890331.nc va300/va300_era5_moda_pl_19890401-19890430.nc va300/va300_era5_moda_pl_19890501-19890531.nc va300/va300_era5_moda_pl_19890601-19890630.nc va300/va300_era5_moda_pl_19890701-19890731.nc va300/va300_era5_moda_pl_19890801-19890831.nc va300/va300_era5_moda_pl_19890901-19890930.nc va300/va300_era5_moda_pl_19891001-19891031.nc va300/va300_era5_moda_pl_19891101-19891130.nc va300/va300_era5_moda_pl_19891201-19891231.nc va300/va300_era5_moda_pl_19900101-19900131.nc va300/va300_era5_moda_pl_19900201-19900228.nc va300/va300_era5_moda_pl_19900301-19900331.nc va300/va300_era5_moda_pl_19900401-19900430.nc va300/va300_era5_moda_pl_19900501-19900531.nc va300/va300_era5_moda_pl_19900601-19900630.nc va300/va300_era5_moda_pl_19900701-19900731.nc va300/va300_era5_moda_pl_19900801-19900831.nc va300/va300_era5_moda_pl_19900901-19900930.nc va300/va300_era5_moda_pl_19901001-19901031.nc va300/va300_era5_moda_pl_19901101-19901130.nc va300/va300_era5_moda_pl_19901201-19901231.nc va300/va300_era5_moda_pl_19910101-19910131.nc va300/va300_era5_moda_pl_19910201-19910228.nc va300/va300_era5_moda_pl_19910301-19910331.nc va300/va300_era5_moda_pl_19910401-19910430.nc va300/va300_era5_moda_pl_19910501-19910531.nc va300/va300_era5_moda_pl_19910601-19910630.nc va300/va300_era5_moda_pl_19910701-19910731.nc va300/va300_era5_moda_pl_19910801-19910831.nc va300/va300_era5_moda_pl_19910901-19910930.nc va300/va300_era5_moda_pl_19911001-19911031.nc va300/va300_era5_moda_pl_19911101-19911130.nc va300/va300_era5_moda_pl_19911201-19911231.nc va300/va300_era5_moda_pl_19920101-19920131.nc va300/va300_era5_moda_pl_19920201-19920229.nc va300/va300_era5_moda_pl_19920301-19920331.nc va300/va300_era5_moda_pl_19920401-19920430.nc va300/va300_era5_moda_pl_19920501-19920531.nc va300/va300_era5_moda_pl_19920601-19920630.nc va300/va300_era5_moda_pl_19920701-19920731.nc va300/va300_era5_moda_pl_19920801-19920831.nc va300/va300_era5_moda_pl_19920901-19920930.nc va300/va300_era5_moda_pl_19921001-19921031.nc va300/va300_era5_moda_pl_19921101-19921130.nc va300/va300_era5_moda_pl_19921201-19921231.nc va300/va300_era5_moda_pl_19930101-19930131.nc va300/va300_era5_moda_pl_19930201-19930228.nc va300/va300_era5_moda_pl_19930301-19930331.nc va300/va300_era5_moda_pl_19930401-19930430.nc va300/va300_era5_moda_pl_19930501-19930531.nc va300/va300_era5_moda_pl_19930601-19930630.nc va300/va300_era5_moda_pl_19930701-19930731.nc va300/va300_era5_moda_pl_19930801-19930831.nc va300/va300_era5_moda_pl_19930901-19930930.nc va300/va300_era5_moda_pl_19931001-19931031.nc va300/va300_era5_moda_pl_19931101-19931130.nc va300/va300_era5_moda_pl_19931201-19931231.nc va300/va300_era5_moda_pl_19940101-19940131.nc va300/va300_era5_moda_pl_19940201-19940228.nc va300/va300_era5_moda_pl_19940301-19940331.nc va300/va300_era5_moda_pl_19940401-19940430.nc va300/va300_era5_moda_pl_19940501-19940531.nc va300/va300_era5_moda_pl_19940601-19940630.nc va300/va300_era5_moda_pl_19940701-19940731.nc va300/va300_era5_moda_pl_19940801-19940831.nc va300/va300_era5_moda_pl_19940901-19940930.nc va300/va300_era5_moda_pl_19941001-19941031.nc va300/va300_era5_moda_pl_19941101-19941130.nc va300/va300_era5_moda_pl_19941201-19941231.nc va300/va300_era5_moda_pl_19950101-19950131.nc va300/va300_era5_moda_pl_19950201-19950228.nc va300/va300_era5_moda_pl_19950301-19950331.nc va300/va300_era5_moda_pl_19950401-19950430.nc va300/va300_era5_moda_pl_19950501-19950531.nc va300/va300_era5_moda_pl_19950601-19950630.nc va300/va300_era5_moda_pl_19950701-19950731.nc va300/va300_era5_moda_pl_19950801-19950831.nc va300/va300_era5_moda_pl_19950901-19950930.nc va300/va300_era5_moda_pl_19951001-19951031.nc va300/va300_era5_moda_pl_19951101-19951130.nc va300/va300_era5_moda_pl_19951201-19951231.nc va300/va300_era5_moda_pl_19960101-19960131.nc va300/va300_era5_moda_pl_19960201-19960229.nc va300/va300_era5_moda_pl_19960301-19960331.nc va300/va300_era5_moda_pl_19960401-19960430.nc va300/va300_era5_moda_pl_19960501-19960531.nc va300/va300_era5_moda_pl_19960601-19960630.nc va300/va300_era5_moda_pl_19960701-19960731.nc va300/va300_era5_moda_pl_19960801-19960831.nc va300/va300_era5_moda_pl_19960901-19960930.nc va300/va300_era5_moda_pl_19961001-19961031.nc va300/va300_era5_moda_pl_19961101-19961130.nc va300/va300_era5_moda_pl_19961201-19961231.nc va300/va300_era5_moda_pl_19970101-19970131.nc va300/va300_era5_moda_pl_19970201-19970228.nc va300/va300_era5_moda_pl_19970301-19970331.nc va300/va300_era5_moda_pl_19970401-19970430.nc va300/va300_era5_moda_pl_19970501-19970531.nc va300/va300_era5_moda_pl_19970601-19970630.nc va300/va300_era5_moda_pl_19970701-19970731.nc va300/va300_era5_moda_pl_19970801-19970831.nc va300/va300_era5_moda_pl_19970901-19970930.nc va300/va300_era5_moda_pl_19971001-19971031.nc va300/va300_era5_moda_pl_19971101-19971130.nc va300/va300_era5_moda_pl_19971201-19971231.nc va300/va300_era5_moda_pl_19980101-19980131.nc va300/va300_era5_moda_pl_19980201-19980228.nc va300/va300_era5_moda_pl_19980301-19980331.nc va300/va300_era5_moda_pl_19980401-19980430.nc va300/va300_era5_moda_pl_19980501-19980531.nc va300/va300_era5_moda_pl_19980601-19980630.nc va300/va300_era5_moda_pl_19980701-19980731.nc va300/va300_era5_moda_pl_19980801-19980831.nc va300/va300_era5_moda_pl_19980901-19980930.nc va300/va300_era5_moda_pl_19981001-19981031.nc va300/va300_era5_moda_pl_19981101-19981130.nc va300/va300_era5_moda_pl_19981201-19981231.nc va300/va300_era5_moda_pl_19990101-19990131.nc va300/va300_era5_moda_pl_19990201-19990228.nc va300/va300_era5_moda_pl_19990301-19990331.nc va300/va300_era5_moda_pl_19990401-19990430.nc va300/va300_era5_moda_pl_19990501-19990531.nc va300/va300_era5_moda_pl_19990601-19990630.nc va300/va300_era5_moda_pl_19990701-19990731.nc va300/va300_era5_moda_pl_19990801-19990831.nc va300/va300_era5_moda_pl_19990901-19990930.nc va300/va300_era5_moda_pl_19991001-19991031.nc va300/va300_era5_moda_pl_19991101-19991130.nc va300/va300_era5_moda_pl_19991201-19991231.nc va300/va300_era5_moda_pl_20000101-20000131.nc va300/va300_era5_moda_pl_20000201-20000229.nc va300/va300_era5_moda_pl_20000301-20000331.nc va300/va300_era5_moda_pl_20000401-20000430.nc va300/va300_era5_moda_pl_20000501-20000531.nc va300/va300_era5_moda_pl_20000601-20000630.nc va300/va300_era5_moda_pl_20000701-20000731.nc va300/va300_era5_moda_pl_20000801-20000831.nc va300/va300_era5_moda_pl_20000901-20000930.nc va300/va300_era5_moda_pl_20001001-20001031.nc va300/va300_era5_moda_pl_20001101-20001130.nc va300/va300_era5_moda_pl_20001201-20001231.nc va300/va300_era5_moda_pl_20010101-20010131.nc va300/va300_era5_moda_pl_20010201-20010228.nc va300/va300_era5_moda_pl_20010301-20010331.nc va300/va300_era5_moda_pl_20010401-20010430.nc va300/va300_era5_moda_pl_20010501-20010531.nc va300/va300_era5_moda_pl_20010601-20010630.nc va300/va300_era5_moda_pl_20010701-20010731.nc va300/va300_era5_moda_pl_20010801-20010831.nc va300/va300_era5_moda_pl_20010901-20010930.nc va300/va300_era5_moda_pl_20011001-20011031.nc va300/va300_era5_moda_pl_20011101-20011130.nc va300/va300_era5_moda_pl_20011201-20011231.nc va300/va300_era5_moda_pl_20020101-20020131.nc va300/va300_era5_moda_pl_20020201-20020228.nc va300/va300_era5_moda_pl_20020301-20020331.nc va300/va300_era5_moda_pl_20020401-20020430.nc va300/va300_era5_moda_pl_20020501-20020531.nc va300/va300_era5_moda_pl_20020601-20020630.nc va300/va300_era5_moda_pl_20020701-20020731.nc va300/va300_era5_moda_pl_20020801-20020831.nc va300/va300_era5_moda_pl_20020901-20020930.nc va300/va300_era5_moda_pl_20021001-20021031.nc va300/va300_era5_moda_pl_20021101-20021130.nc va300/va300_era5_moda_pl_20021201-20021231.nc va300/va300_era5_moda_pl_20030101-20030131.nc va300/va300_era5_moda_pl_20030201-20030228.nc va300/va300_era5_moda_pl_20030301-20030331.nc va300/va300_era5_moda_pl_20030401-20030430.nc va300/va300_era5_moda_pl_20030501-20030531.nc va300/va300_era5_moda_pl_20030601-20030630.nc va300/va300_era5_moda_pl_20030701-20030731.nc va300/va300_era5_moda_pl_20030801-20030831.nc va300/va300_era5_moda_pl_20030901-20030930.nc va300/va300_era5_moda_pl_20031001-20031031.nc va300/va300_era5_moda_pl_20031101-20031130.nc va300/va300_era5_moda_pl_20031201-20031231.nc va300/va300_era5_moda_pl_20040101-20040131.nc va300/va300_era5_moda_pl_20040201-20040229.nc va300/va300_era5_moda_pl_20040301-20040331.nc va300/va300_era5_moda_pl_20040401-20040430.nc va300/va300_era5_moda_pl_20040501-20040531.nc va300/va300_era5_moda_pl_20040601-20040630.nc va300/va300_era5_moda_pl_20040701-20040731.nc va300/va300_era5_moda_pl_20040801-20040831.nc va300/va300_era5_moda_pl_20040901-20040930.nc va300/va300_era5_moda_pl_20041001-20041031.nc va300/va300_era5_moda_pl_20041101-20041130.nc va300/va300_era5_moda_pl_20041201-20041231.nc va300/va300_era5_moda_pl_20050101-20050131.nc va300/va300_era5_moda_pl_20050201-20050228.nc va300/va300_era5_moda_pl_20050301-20050331.nc va300/va300_era5_moda_pl_20050401-20050430.nc va300/va300_era5_moda_pl_20050501-20050531.nc va300/va300_era5_moda_pl_20050601-20050630.nc va300/va300_era5_moda_pl_20050701-20050731.nc va300/va300_era5_moda_pl_20050801-20050831.nc va300/va300_era5_moda_pl_20050901-20050930.nc va300/va300_era5_moda_pl_20051001-20051031.nc va300/va300_era5_moda_pl_20051101-20051130.nc va300/va300_era5_moda_pl_20051201-20051231.nc va300/va300_era5_moda_pl_20060101-20060131.nc va300/va300_era5_moda_pl_20060201-20060228.nc va300/va300_era5_moda_pl_20060301-20060331.nc va300/va300_era5_moda_pl_20060401-20060430.nc va300/va300_era5_moda_pl_20060501-20060531.nc va300/va300_era5_moda_pl_20060601-20060630.nc va300/va300_era5_moda_pl_20060701-20060731.nc va300/va300_era5_moda_pl_20060801-20060831.nc va300/va300_era5_moda_pl_20060901-20060930.nc va300/va300_era5_moda_pl_20061001-20061031.nc va300/va300_era5_moda_pl_20061101-20061130.nc va300/va300_era5_moda_pl_20061201-20061231.nc va300/va300_era5_moda_pl_20070101-20070131.nc va300/va300_era5_moda_pl_20070201-20070228.nc va300/va300_era5_moda_pl_20070301-20070331.nc va300/va300_era5_moda_pl_20070401-20070430.nc va300/va300_era5_moda_pl_20070501-20070531.nc va300/va300_era5_moda_pl_20070601-20070630.nc va300/va300_era5_moda_pl_20070701-20070731.nc va300/va300_era5_moda_pl_20070801-20070831.nc va300/va300_era5_moda_pl_20070901-20070930.nc va300/va300_era5_moda_pl_20071001-20071031.nc va300/va300_era5_moda_pl_20071101-20071130.nc va300/va300_era5_moda_pl_20071201-20071231.nc va300/va300_era5_moda_pl_20080101-20080131.nc va300/va300_era5_moda_pl_20080201-20080229.nc va300/va300_era5_moda_pl_20080301-20080331.nc va300/va300_era5_moda_pl_20080401-20080430.nc va300/va300_era5_moda_pl_20080501-20080531.nc va300/va300_era5_moda_pl_20080601-20080630.nc va300/va300_era5_moda_pl_20080701-20080731.nc va300/va300_era5_moda_pl_20080801-20080831.nc va300/va300_era5_moda_pl_20080901-20080930.nc va300/va300_era5_moda_pl_20081001-20081031.nc va300/va300_era5_moda_pl_20081101-20081130.nc va300/va300_era5_moda_pl_20081201-20081231.nc va300/va300_era5_moda_pl_20090101-20090131.nc va300/va300_era5_moda_pl_20090201-20090228.nc va300/va300_era5_moda_pl_20090301-20090331.nc va300/va300_era5_moda_pl_20090401-20090430.nc va300/va300_era5_moda_pl_20090501-20090531.nc va300/va300_era5_moda_pl_20090601-20090630.nc va300/va300_era5_moda_pl_20090701-20090731.nc va300/va300_era5_moda_pl_20090801-20090831.nc va300/va300_era5_moda_pl_20090901-20090930.nc va300/va300_era5_moda_pl_20091001-20091031.nc va300/va300_era5_moda_pl_20091101-20091130.nc va300/va300_era5_moda_pl_20091201-20091231.nc va300/va300_era5_moda_pl_20100101-20100131.nc va300/va300_era5_moda_pl_20100201-20100228.nc va300/va300_era5_moda_pl_20100301-20100331.nc va300/va300_era5_moda_pl_20100401-20100430.nc va300/va300_era5_moda_pl_20100501-20100531.nc va300/va300_era5_moda_pl_20100601-20100630.nc va300/va300_era5_moda_pl_20100701-20100731.nc va300/va300_era5_moda_pl_20100801-20100831.nc va300/va300_era5_moda_pl_20100901-20100930.nc va300/va300_era5_moda_pl_20101001-20101031.nc va300/va300_era5_moda_pl_20101101-20101130.nc va300/va300_era5_moda_pl_20101201-20101231.nc va300/va300_era5_moda_pl_20110101-20110131.nc va300/va300_era5_moda_pl_20110201-20110228.nc va300/va300_era5_moda_pl_20110301-20110331.nc va300/va300_era5_moda_pl_20110401-20110430.nc va300/va300_era5_moda_pl_20110501-20110531.nc va300/va300_era5_moda_pl_20110601-20110630.nc va300/va300_era5_moda_pl_20110701-20110731.nc va300/va300_era5_moda_pl_20110801-20110831.nc va300/va300_era5_moda_pl_20110901-20110930.nc va300/va300_era5_moda_pl_20111001-20111031.nc va300/va300_era5_moda_pl_20111101-20111130.nc va300/va300_era5_moda_pl_20111201-20111231.nc va300/va300_era5_moda_pl_20120101-20120131.nc va300/va300_era5_moda_pl_20120201-20120229.nc va300/va300_era5_moda_pl_20120301-20120331.nc va300/va300_era5_moda_pl_20120401-20120430.nc va300/va300_era5_moda_pl_20120501-20120531.nc va300/va300_era5_moda_pl_20120601-20120630.nc va300/va300_era5_moda_pl_20120701-20120731.nc va300/va300_era5_moda_pl_20120801-20120831.nc va300/va300_era5_moda_pl_20120901-20120930.nc va300/va300_era5_moda_pl_20121001-20121031.nc va300/va300_era5_moda_pl_20121101-20121130.nc va300/va300_era5_moda_pl_20121201-20121231.nc va300/va300_era5_moda_pl_20130101-20130131.nc va300/va300_era5_moda_pl_20130201-20130228.nc va300/va300_era5_moda_pl_20130301-20130331.nc va300/va300_era5_moda_pl_20130401-20130430.nc va300/va300_era5_moda_pl_20130501-20130531.nc va300/va300_era5_moda_pl_20130601-20130630.nc va300/va300_era5_moda_pl_20130701-20130731.nc va300/va300_era5_moda_pl_20130801-20130831.nc va300/va300_era5_moda_pl_20130901-20130930.nc va300/va300_era5_moda_pl_20131001-20131031.nc va300/va300_era5_moda_pl_20131101-20131130.nc va300/va300_era5_moda_pl_20131201-20131231.nc va300/va300_era5_moda_pl_20140101-20140131.nc va300/va300_era5_moda_pl_20140201-20140228.nc va300/va300_era5_moda_pl_20140301-20140331.nc va300/va300_era5_moda_pl_20140401-20140430.nc va300/va300_era5_moda_pl_20140501-20140531.nc va300/va300_era5_moda_pl_20140601-20140630.nc va300/va300_era5_moda_pl_20140701-20140731.nc va300/va300_era5_moda_pl_20140801-20140831.nc va300/va300_era5_moda_pl_20140901-20140930.nc va300/va300_era5_moda_pl_20141001-20141031.nc va300/va300_era5_moda_pl_20141101-20141130.nc va300/va300_era5_moda_pl_20141201-20141231.nc va300/va300_era5_moda_pl_20150101-20150131.nc va300/va300_era5_moda_pl_20150201-20150228.nc va300/va300_era5_moda_pl_20150301-20150331.nc va300/va300_era5_moda_pl_20150401-20150430.nc va300/va300_era5_moda_pl_20150501-20150531.nc va300/va300_era5_moda_pl_20150601-20150630.nc va300/va300_era5_moda_pl_20150701-20150731.nc va300/va300_era5_moda_pl_20150801-20150831.nc va300/va300_era5_moda_pl_20150901-20150930.nc va300/va300_era5_moda_pl_20151001-20151031.nc va300/va300_era5_moda_pl_20151101-20151130.nc va300/va300_era5_moda_pl_20151201-20151231.nc va300/va300_era5_moda_pl_20160101-20160131.nc va300/va300_era5_moda_pl_20160201-20160229.nc va300/va300_era5_moda_pl_20160301-20160331.nc va300/va300_era5_moda_pl_20160401-20160430.nc va300/va300_era5_moda_pl_20160501-20160531.nc va300/va300_era5_moda_pl_20160601-20160630.nc va300/va300_era5_moda_pl_20160701-20160731.nc va300/va300_era5_moda_pl_20160801-20160831.nc va300/va300_era5_moda_pl_20160901-20160930.nc va300/va300_era5_moda_pl_20161001-20161031.nc va300/va300_era5_moda_pl_20161101-20161130.nc va300/va300_era5_moda_pl_20161201-20161231.nc va300/va300_era5_moda_pl_20170101-20170131.nc va300/va300_era5_moda_pl_20170201-20170228.nc va300/va300_era5_moda_pl_20170301-20170331.nc va300/va300_era5_moda_pl_20170401-20170430.nc va300/va300_era5_moda_pl_20170501-20170531.nc va300/va300_era5_moda_pl_20170601-20170630.nc va300/va300_era5_moda_pl_20170701-20170731.nc va300/va300_era5_moda_pl_20170801-20170831.nc va300/va300_era5_moda_pl_20170901-20170930.nc va300/va300_era5_moda_pl_20171001-20171031.nc va300/va300_era5_moda_pl_20171101-20171130.nc va300/va300_era5_moda_pl_20171201-20171231.nc va300/va300_era5_moda_pl_20180101-20180131.nc va300/va300_era5_moda_pl_20180201-20180228.nc va300/va300_era5_moda_pl_20180301-20180331.nc va300/va300_era5_moda_pl_20180401-20180430.nc va300/va300_era5_moda_pl_20180501-20180531.nc va300/va300_era5_moda_pl_20180601-20180630.nc va300/va300_era5_moda_pl_20180701-20180731.nc va300/va300_era5_moda_pl_20180801-20180831.nc va300/va300_era5_moda_pl_20180901-20180930.nc va300/va300_era5_moda_pl_20181001-20181031.nc va300/va300_era5_moda_pl_20181101-20181130.nc va300/va300_era5_moda_pl_20181201-20181231.nc va300/va300_era5_moda_pl_20190101-20190131.nc va300/va300_era5_moda_pl_20190201-20190228.nc va300/va300_era5_moda_pl_20190301-20190331.nc va300/va300_era5_moda_pl_20190401-20190430.nc va300/va300_era5_moda_pl_20190501-20190531.nc va300/va300_era5_moda_pl_20190601-20190630.nc va300/va300_era5_moda_pl_20190701-20190731.nc va300/va300_era5_moda_pl_20190801-20190831.nc va300/va300_era5_moda_pl_20190901-20190930.nc va300/va300_era5_moda_pl_20191001-20191031.nc va300/va300_era5_moda_pl_20191101-20191130.nc va300/va300_era5_moda_pl_20191201-20191231.nc va300/va300_era5_moda_pl_20200101-20200131.nc va300/va300_era5_moda_pl_20200201-20200229.nc va300/va300_era5_moda_pl_20200301-20200331.nc va300/va300_era5_moda_pl_20200401-20200430.nc va300/va300_era5_moda_pl_20200501-20200531.nc va300/va300_era5_moda_pl_20200601-20200630.nc va300/va300_era5_moda_pl_20200701-20200731.nc va300/va300_era5_moda_pl_20200801-20200831.nc va300/va300_era5_moda_pl_20200901-20200930.nc va300/va300_era5_moda_pl_20201001-20201031.nc va300/va300_era5_moda_pl_20201101-20201130.nc va300/va300_era5_moda_pl_20201201-20201231.nc va300/va300_era5_moda_pl_20210101-20210131.nc va300/va300_era5_moda_pl_20210201-20210228.nc va300/va300_era5_moda_pl_20210301-20210331.nc va300/va300_era5_moda_pl_20210401-20210430.nc va300/va300_era5_moda_pl_20210501-20210531.nc va300/va300_era5_moda_pl_20210601-20210630.nc va300/va300_era5_moda_pl_20210701-20210731.nc va300/va300_era5_moda_pl_20210801-20210831.nc va300/va300_era5_moda_pl_20210901-20210930.nc va300/va300_era5_moda_pl_20211001-20211031.nc va300/va300_era5_moda_pl_20211101-20211130.nc va300/va300_era5_moda_pl_20211201-20211231.nc va300/va300_era5_moda_pl_20220101-20220131.nc va300/va300_era5_moda_pl_20220201-20220228.nc va300/va300_era5_moda_pl_20220301-20220331.nc va300/va300_era5_moda_pl_20220401-20220430.nc va300/va300_era5_moda_pl_20220501-20220531.nc va300/va300_era5_moda_pl_20220601-20220630.nc va300/va300_era5_moda_pl_20220701-20220731.nc va300/va300_era5_moda_pl_20220801-20220831.nc va300/va300_era5_moda_pl_19590101-20220831.nc Wed Dec 14 16:12:45 2022: cdo -b F64 -vertsum -sellevel,300 -chname,v,va300 /g/data/rt52/era5/pressure-levels/monthly-averaged/v/1959/v_era5_moda_pl_19590101-19590131.nc ./va300/va300_era5_moda_pl_19590101-19590131.nc 2022-07-30 02:45:15 UTC+1000 by era5_replication_tools-1.10.2: mv /g/data/rt52/admin/incoming/era5/pressure-levels/monthly-averaged/v/1959/v_era5_moda_pl_19590101-19590131.tmp /g/data/rt52/era5/pressure-levels/monthly-averaged/v/1959/v_era5_moda_pl_19590101-19590131.nc 2022-07-30 02:45:11 UTC+1000 by era5_replication_tools-1.10.2: nccopy -m1G -h1G -k4 -d5 -s -Vlongitude,latitude,level,time,v /g/data/id28/admin/incoming/era5/pressure-levels/monthly-averaged/d/1959/multiple_era5_moda_pl_19590101-19590131.nc /g/data/rt52/admin/incoming/era5/pressure-levels/monthly-averaged/v/1959/v_era5_moda_pl_19590101-19590131.tmp 2022-07-30 02:42:38 UTC+1000 by era5_replication_tools-1.10.2: curl --connect-timeout 20 --show-error --silent --max-time 36000 -o /g/data/id28/admin/incoming/era5/pressure-levels/monthly-averaged/d/1959/multiple_era5_moda_pl_19590101-19590131.nc https://download-0016.copernicus-climate.eu/cache-compute-0016/cache/data5/adaptor.mars.internal-1659112934.355367-17437-13-ef6291cd-0709-45d4-9e01-c3ac68330fc9.nc 2022-07-29 16:42:22 GMT by grib_to_netcdf-2.25.1: /opt/ecmwf/mars-client/bin/grib_to_netcdf.bin -S param -o /cache/data5/adaptor.mars.internal-1659112934.355367-17437-13-ef6291cd-0709-45d4-9e01-c3ac68330fc9.nc /cache/tmp/ef6291cd-0709-45d4-9e01-c3ac68330fc9-adaptor.mars.internal-1659112906.5410028-17437-22-tmp.grib

Conventions:: CF-1.6

Cdi:: Climate Data Interface version 2.0.5 (https://mpimet.mpg.de/cdi)

License:: Licence to use Copernicus Products: https://apps.ecmwf.int/datasets/licences/copernicus/

Summary:: ERA5 is the fifth generation ECMWF atmospheric reanalysis of the global climate. This file is part of the ERA5 replica hosted at NCI Australia. For more information please see http://dx.doi.org/10.25914/5f48874388857

Cdo:: Climate Data Operators version 2.0.5 (https://mpimet.mpg.de/cdo)

Mean State

Temporally integrated period mean

Spatially integrated regional mean

All Models

Data Information