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	[-]	0.576
ACCESS-CM2_BARPA	[-]	0.705	0.704	0.576	0.127	0.639	1.88	0.894	0.730	0.721	0.982	0.811
ACCESS-CM2_CCAM	[-]	1.52	1.52	0.576	0.944	1.19	2.02	0.622	0.731	0.699	0.891	0.735
ACCESS-CM2_CMIP6	[-]	0.584	0.584	0.566	0.0179	0.673	2.28	0.874	0.723	0.649	0.962	0.786
ACCESS-ESM1-5_BARPA	[-]	0.614	0.613	0.576	0.0366	0.721	1.75	0.846	0.718	0.746	0.882	0.782
ACCESS-ESM1-5_CCAM	[-]	0.765	0.764	0.576	0.188	0.776	2.09	0.835	0.693	0.675	0.942	0.767
ACCESS-ESM1-5_CMIP6	[-]	0.500	0.500	0.589	-0.0886	0.746	2.10	0.858	0.704	0.682	0.902	0.770
CESM2_BARPA	[-]	0.739	0.739	0.576	0.163	0.877	1.79	0.836	0.676	0.755	0.953	0.779
CESM2_CCAM	[-]	0.527	0.527	0.576	-0.0494	0.809	2.10	0.789	0.722	0.699	0.816	0.749
CMCC-ESM2_BARPA	[-]	0.676	0.676	0.576	0.0992	0.932	1.80	0.837	0.661	0.750	0.932	0.768
CMCC-ESM2_CCAM	[-]	0.130	0.130	0.576	-0.447	0.831	2.24	0.750	0.729	0.665	0.918	0.758
CMCC-ESM2_CMIP6	[-]	0.112	0.112	0.576	-0.463	0.816	2.24	0.749	0.732	0.667	0.925	0.761
CNRM-ESM2-1_CCAM	[-]	0.776	0.775	0.576	0.199	0.928	2.53	0.834	0.643	0.595	0.948	0.733
CNRM-ESM2-1_CMIP6	[-]	0.726	0.726	0.567	0.159	0.919	2.57	0.842	0.642	0.586	0.948	0.732
EC-Earth3_BARPA	[-]	1.35	1.35	0.576	0.775	0.929	1.88	0.661	0.776	0.711	0.954	0.775
EC-Earth3_CCAM	[-]	1.04	1.03	0.576	0.458	0.760	2.82	0.783	0.736	0.524	0.978	0.751
EC-Earth3_CMIP6	[-]	1.02	1.02	0.577	0.440	0.756	2.76	0.793	0.734	0.534	0.979	0.755
ERA5_BARPA	[-]	0.621	0.620	0.576	0.0440	0.351	0.858	0.925	0.849	0.895	0.988	0.901
ERA5_CCAM	[-]	0.576	0.574	0.576	-0.00188	0.135	0.374	0.957	0.947	0.947	0.998	0.959
MPI-ESM1-2-HR_BARPA	[-]	0.853	0.851	0.576	0.275	0.814	1.97	0.828	0.697	0.728	0.926	0.775
NorESM2-MM_BARPA	[-]	0.550	0.550	0.576	-0.0265	0.877	1.62	0.834	0.666	0.772	0.954	0.778
NorESM2-MM_CCAM	[-]	0.279	0.279	0.576	-0.297	0.829	1.92	0.795	0.717	0.717	0.767	0.742
NorESM2-MM_CMIP6	[-]	0.258	0.258	0.576	-0.318	0.840	2.05	0.784	0.715	0.694	0.741	0.730

	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	[-]	1.66
ACCESS-CM2_BARPA	[-]	1.52	1.52	1.66	-0.134	0.505	2.87	0.928	0.786	0.496	0.734	0.742
ACCESS-CM2_CCAM	[-]	2.21	2.22	1.66	0.558	0.731	2.94	0.767	0.813	0.497	0.169	0.589
ACCESS-CM2_CMIP6	[-]	1.31	1.31	1.66	-0.348	0.596	2.59	0.838	0.792	0.563	0.675	0.725
ACCESS-ESM1-5_BARPA	[-]	1.16	1.16	1.66	-0.496	0.767	2.41	0.778	0.749	0.644	0.644	0.709
ACCESS-ESM1-5_CCAM	[-]	1.52	1.52	1.66	-0.137	0.636	2.41	0.904	0.742	0.644	0.405	0.681
ACCESS-ESM1-5_CMIP6	[-]	1.09	1.09	1.66	-0.564	0.789	2.30	0.750	0.760	0.667	0.554	0.691
CESM2_BARPA	[-]	1.43	1.43	1.66	-0.229	0.728	2.96	0.846	0.731	0.512	0.179	0.585
CESM2_CCAM	[-]	0.998	0.999	1.66	-0.659	0.968	3.02	0.719	0.705	0.491	0.310	0.573
CMCC-ESM2_BARPA	[-]	1.72	1.72	1.66	0.0613	0.582	2.00	0.869	0.782	0.730	0.175	0.655
CMCC-ESM2_CCAM	[-]	1.42	1.42	1.66	-0.235	0.561	2.10	0.865	0.804	0.702	0.229	0.667
CMCC-ESM2_CMIP6	[-]	1.40	1.40	1.66	-0.260	0.537	1.73	0.861	0.821	0.745	0.219	0.679
CNRM-ESM2-1_CCAM	[-]	1.71	1.71	1.66	0.0505	0.781	2.92	0.970	0.676	0.511	0.997	0.776
CNRM-ESM2-1_CMIP6	[-]	1.63	1.63	1.66	-0.0328	0.835	3.00	0.950	0.659	0.502	0.953	0.754
EC-Earth3_BARPA	[-]	2.27	2.27	1.66	0.610	0.928	3.41	0.736	0.703	0.408	0.772	0.660
EC-Earth3_CCAM	[-]	2.22	2.22	1.66	0.557	0.897	3.73	0.755	0.702	0.361	0.937	0.690
EC-Earth3_CMIP6	[-]	2.23	2.23	1.66	0.575	0.955	3.64	0.749	0.681	0.380	0.847	0.666
ERA5_BARPA	[-]	1.62	1.62	1.66	-0.0399	0.257	0.946	0.953	0.893	0.865	0.755	0.869
ERA5_CCAM	[-]	1.64	1.64	1.66	-0.0220	0.101	0.701	0.979	0.957	0.889	0.993	0.955
MPI-ESM1-2-HR_BARPA	[-]	2.37	2.37	1.66	0.714	1.05	3.68	0.703	0.685	0.365	0.331	0.539
NorESM2-MM_BARPA	[-]	1.32	1.32	1.66	-0.334	0.850	1.08	0.844	0.689	0.823	0.380	0.684
NorESM2-MM_CCAM	[-]	0.756	0.756	1.66	-0.902	1.08	1.68	0.634	0.743	0.726	0.620	0.688
NorESM2-MM_CMIP6	[-]	0.750	0.750	1.66	-0.909	1.09	1.18	0.631	0.739	0.800	0.559	0.689

	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	[-]	1.36
ACCESS-CM2_BARPA	[-]	1.50	1.50	1.36	0.140	0.557	1.56	0.876	0.805	0.812	0.823	0.784
ACCESS-CM2_CCAM	[-]	2.50	2.51	1.36	1.15	1.28	1.94	0.609	0.817	0.739	0.625	0.697
ACCESS-CM2_CMIP6	[-]	1.43	1.43	1.36	0.0728	0.540	1.58	0.865	0.820	0.814	0.829	0.729
ACCESS-ESM1-5_BARPA	[-]	1.12	1.12	1.36	-0.237	0.711	1.66	0.877	0.747	0.815	0.829	0.754
ACCESS-ESM1-5_CCAM	[-]	1.61	1.61	1.36	0.251	0.736	1.50	0.831	0.754	0.843	0.982	0.747
ACCESS-ESM1-5_CMIP6	[-]	1.16	1.16	1.36	-0.198	0.632	1.68	0.873	0.780	0.812	0.951	0.744
CESM2_BARPA	[-]	1.71	1.72	1.36	0.363	0.932	2.12	0.733	0.752	0.648	0.592	0.644
CESM2_CCAM	[-]	1.12	1.12	1.36	-0.236	0.685	2.00	0.852	0.769	0.718	0.965	0.695
CMCC-ESM2_BARPA	[-]	1.93	1.95	1.36	0.586	0.945	2.85	0.720	0.770	0.549	0.714	0.621
CMCC-ESM2_CCAM	[-]	1.56	1.57	1.36	0.208	0.729	2.06	0.812	0.772	0.726	0.905	0.704
CMCC-ESM2_CMIP6	[-]	1.51	1.51	1.38	0.127	0.697	2.28	0.838	0.767	0.684	0.900	0.696
CNRM-ESM2-1_CCAM	[-]	1.63	1.63	1.36	0.273	0.941	2.28	0.882	0.657	0.655	0.544	0.739
CNRM-ESM2-1_CMIP6	[-]	1.59	1.59	1.32	0.268	1.01	2.19	0.871	0.639	0.668	0.676	0.750
EC-Earth3_BARPA	[-]	2.17	2.17	1.36	0.814	1.08	2.09	0.684	0.718	0.661	0.814	0.731
EC-Earth3_CCAM	[-]	2.05	2.05	1.36	0.686	1.05	2.17	0.722	0.689	0.650	0.920	0.756
EC-Earth3_CMIP6	[-]	2.10	2.10	1.37	0.733	1.10	2.21	0.707	0.679	0.647	0.922	0.736
ERA5_BARPA	[-]	1.53	1.54	1.36	0.177	0.449	1.33	0.890	0.844	0.836	0.748	0.829
ERA5_CCAM	[-]	1.43	1.43	1.36	0.0669	0.130	0.564	0.963	0.957	0.918	0.982	0.951
MPI-ESM1-2-HR_BARPA	[-]	2.47	2.48	1.36	1.12	1.37	1.79	0.595	0.687	0.784	0.919	0.674
NorESM2-MM_BARPA	[-]	1.42	1.43	1.36	0.0681	1.01	1.60	0.827	0.659	0.709	0.913	0.657
NorESM2-MM_CCAM	[-]	0.808	0.812	1.36	-0.548	0.850	1.41	0.775	0.747	0.749	0.804	0.680
NorESM2-MM_CMIP6	[-]	0.729	0.729	1.38	-0.653	0.913	1.35	0.735	0.746	0.749	0.865	0.675

	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	[-]	0.577
ACCESS-CM2_BARPA	[-]	0.913	0.910	0.577	0.333	0.652	1.72	0.824	0.717	0.776	0.970	0.808
ACCESS-CM2_CCAM	[-]	2.35	2.35	0.577	1.77	1.87	1.15	0.340	0.701	0.889	0.871	0.693
ACCESS-CM2_CMIP6	[-]	0.881	0.881	0.549	0.331	0.635	1.75	0.820	0.725	0.768	0.971	0.799
ACCESS-ESM1-5_BARPA	[-]	0.748	0.745	0.577	0.168	0.628	0.942	0.895	0.694	0.915	0.931	0.849
ACCESS-ESM1-5_CCAM	[-]	0.989	0.985	0.577	0.408	0.727	1.36	0.779	0.694	0.838	0.973	0.806
ACCESS-ESM1-5_CMIP6	[-]	0.489	0.489	0.576	-0.0865	0.640	1.50	0.935	0.673	0.814	0.984	0.839
CESM2_BARPA	[-]	1.22	1.22	0.577	0.646	1.01	1.44	0.691	0.642	0.797	0.857	0.739
CESM2_CCAM	[-]	0.798	0.794	0.577	0.217	0.546	1.25	0.874	0.742	0.851	0.950	0.836
CMCC-ESM2_BARPA	[-]	1.18	1.18	0.577	0.603	0.981	1.45	0.723	0.659	0.804	0.717	0.747
CMCC-ESM2_CCAM	[-]	0.518	0.513	0.577	-0.0647	0.652	2.41	0.818	0.718	0.626	0.747	0.751
CMCC-ESM2_CMIP6	[-]	0.421	0.421	0.594	-0.174	0.667	2.72	0.791	0.719	0.575	0.729	0.723
CNRM-ESM2-1_CCAM	[-]	1.25	1.24	0.577	0.666	1.10	2.22	0.664	0.591	0.671	0.965	0.708
CNRM-ESM2-1_CMIP6	[-]	1.18	1.18	0.552	0.627	1.09	2.20	0.677	0.583	0.678	0.958	0.709
EC-Earth3_BARPA	[-]	1.43	1.43	0.577	0.852	0.949	0.571	0.593	0.783	0.946	0.962	0.817
EC-Earth3_CCAM	[-]	0.936	0.929	0.577	0.352	0.801	1.41	0.813	0.647	0.798	0.958	0.796
EC-Earth3_CMIP6	[-]	0.903	0.903	0.576	0.327	0.787	1.55	0.831	0.649	0.760	0.917	0.788
ERA5_BARPA	[-]	0.858	0.857	0.577	0.279	0.481	1.23	0.849	0.797	0.865	0.975	0.859
ERA5_CCAM	[-]	0.666	0.661	0.577	0.0841	0.162	0.274	0.943	0.928	0.972	0.994	0.955
MPI-ESM1-2-HR_BARPA	[-]	1.25	1.24	0.577	0.667	0.928	1.33	0.679	0.686	0.872	0.865	0.779
NorESM2-MM_BARPA	[-]	0.825	0.824	0.577	0.246	0.967	1.75	0.776	0.599	0.741	0.769	0.695
NorESM2-MM_CCAM	[-]	0.517	0.515	0.577	-0.0626	0.557	1.53	0.922	0.724	0.802	0.725	0.801
NorESM2-MM_CMIP6	[-]	0.396	0.396	0.594	-0.198	0.597	1.98	0.887	0.720	0.718	0.697	0.765

	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	[-]	1.19
ACCESS-CM2_BARPA	[-]	1.01	1.02	1.19	-0.176	0.560	2.61	0.914	0.763	0.605	0.981	0.810
ACCESS-CM2_CCAM	[-]	1.13	1.13	1.19	-0.0602	0.573	2.73	0.961	0.746	0.598	0.971	0.811
ACCESS-CM2_CMIP6	[-]	0.719	0.719	1.18	-0.459	0.730	3.43	0.788	0.749	0.451	0.947	0.735
ACCESS-ESM1-5_BARPA	[-]	0.602	0.606	1.19	-0.587	0.824	4.38	0.739	0.746	0.221	0.980	0.680
ACCESS-ESM1-5_CCAM	[-]	0.763	0.767	1.19	-0.426	0.764	4.39	0.802	0.721	0.219	0.989	0.687
ACCESS-ESM1-5_CMIP6	[-]	0.592	0.592	1.20	-0.603	0.830	4.43	0.733	0.749	0.200	0.964	0.671
CESM2_BARPA	[-]	0.576	0.581	1.19	-0.613	0.884	1.86	0.731	0.724	0.754	0.962	0.785
CESM2_CCAM	[-]	0.106	0.111	1.19	-1.08	1.26	2.17	0.571	0.715	0.705	0.778	0.695
CMCC-ESM2_BARPA	[-]	0.719	0.724	1.19	-0.470	0.661	1.75	0.786	0.795	0.756	0.977	0.825
CMCC-ESM2_CCAM	[-]	0.276	0.281	1.19	-0.913	1.00	2.18	0.623	0.805	0.675	0.884	0.753
CMCC-ESM2_CMIP6	[-]	0.251	0.251	1.17	-0.921	1.02	2.20	0.620	0.796	0.687	0.862	0.747
CNRM-ESM2-1_CCAM	[-]	1.13	1.13	1.19	-0.0620	0.650	3.26	0.960	0.717	0.464	0.994	0.776
CNRM-ESM2-1_CMIP6	[-]	1.07	1.07	1.18	-0.110	0.675	3.32	0.945	0.709	0.448	0.999	0.768
EC-Earth3_BARPA	[-]	1.72	1.72	1.19	0.527	0.662	2.88	0.761	0.819	0.519	0.994	0.778
EC-Earth3_CCAM	[-]	1.56	1.56	1.19	0.370	0.573	3.11	0.826	0.799	0.481	0.998	0.778
EC-Earth3_CMIP6	[-]	1.57	1.57	1.18	0.381	0.560	3.15	0.821	0.810	0.468	0.995	0.778
ERA5_BARPA	[-]	1.13	1.13	1.19	-0.0636	0.179	0.475	0.959	0.925	0.942	0.985	0.950
ERA5_CCAM	[-]	1.08	1.09	1.19	-0.106	0.142	0.769	0.946	0.954	0.883	0.999	0.947
MPI-ESM1-2-HR_BARPA	[-]	1.30	1.30	1.19	0.109	0.697	3.78	0.943	0.703	0.355	0.917	0.727
NorESM2-MM_BARPA	[-]	0.668	0.673	1.19	-0.521	0.660	1.08	0.767	0.819	0.847	0.978	0.849
NorESM2-MM_CCAM	[-]	0.0611	0.0657	1.19	-1.13	1.24	1.42	0.557	0.761	0.818	0.715	0.718
NorESM2-MM_CMIP6	[-]	0.0445	0.0445	1.17	-1.13	1.25	1.39	0.557	0.757	0.821	0.674	0.708

	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	[-]	0.535
ACCESS-CM2_BARPA	[-]	0.639	0.638	0.535	0.103	0.628	1.88	0.922	0.727	0.710	0.990	0.832
ACCESS-CM2_CCAM	[-]	1.42	1.42	0.535	0.883	1.09	2.23	0.640	0.731	0.644	0.933	0.740
ACCESS-CM2_CMIP6	[-]	0.507	0.507	0.512	-0.00512	0.670	2.45	0.906	0.716	0.604	0.966	0.792
ACCESS-ESM1-5_BARPA	[-]	0.643	0.642	0.535	0.107	0.719	1.70	0.855	0.719	0.748	0.892	0.796
ACCESS-ESM1-5_CCAM	[-]	0.743	0.742	0.535	0.207	0.805	2.18	0.856	0.677	0.649	0.940	0.769
ACCESS-ESM1-5_CMIP6	[-]	0.537	0.537	0.539	-0.00139	0.782	2.13	0.859	0.690	0.672	0.902	0.775
CESM2_BARPA	[-]	0.619	0.618	0.535	0.0828	0.814	1.92	0.926	0.663	0.742	0.992	0.819
CESM2_CCAM	[-]	0.563	0.563	0.535	0.0275	0.824	2.46	0.802	0.706	0.634	0.794	0.719
CMCC-ESM2_BARPA	[-]	0.522	0.520	0.535	-0.0145	0.992	1.94	0.891	0.616	0.731	0.959	0.785
CMCC-ESM2_CCAM	[-]	-0.0485	-0.0491	0.535	-0.584	0.902	2.38	0.733	0.706	0.641	0.927	0.745
CMCC-ESM2_CMIP6	[-]	-0.0522	-0.0522	0.516	-0.568	0.869	2.29	0.739	0.713	0.660	0.936	0.755
CNRM-ESM2-1_CCAM	[-]	0.682	0.682	0.535	0.147	0.924	2.77	0.868	0.636	0.547	0.964	0.754
CNRM-ESM2-1_CMIP6	[-]	0.681	0.681	0.552	0.129	0.917	2.88	0.877	0.635	0.526	0.962	0.751
EC-Earth3_BARPA	[-]	1.37	1.36	0.535	0.829	0.980	2.16	0.647	0.772	0.658	0.949	0.753
EC-Earth3_CCAM	[-]	1.05	1.05	0.535	0.511	0.772	3.40	0.764	0.753	0.404	0.974	0.728
EC-Earth3_CMIP6	[-]	1.02	1.02	0.535	0.481	0.763	3.26	0.776	0.750	0.435	0.977	0.740
ERA5_BARPA	[-]	0.513	0.511	0.535	-0.0241	0.334	0.840	0.949	0.849	0.893	0.991	0.915
ERA5_CCAM	[-]	0.524	0.524	0.535	-0.0115	0.122	0.349	0.966	0.950	0.947	0.998	0.964
MPI-ESM1-2-HR_BARPA	[-]	0.648	0.646	0.535	0.111	0.743	1.94	0.888	0.695	0.735	0.962	0.813
NorESM2-MM_BARPA	[-]	0.429	0.427	0.535	-0.108	0.840	1.71	0.884	0.660	0.768	0.984	0.813
NorESM2-MM_CCAM	[-]	0.291	0.291	0.535	-0.244	0.845	2.18	0.800	0.701	0.671	0.764	0.714
NorESM2-MM_CMIP6	[-]	0.279	0.279	0.516	-0.236	0.845	2.24	0.796	0.701	0.661	0.757	0.711

	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	[-]	0.556
ACCESS-CM2_BARPA	[-]	0.274	0.271	0.556	-0.285	0.798	3.38	0.873	0.706	0.417	0.964	0.697
ACCESS-CM2_CCAM	[-]	0.310	0.296	0.556	-0.261	0.878	3.49	0.884	0.675	0.412	0.946	0.686
ACCESS-CM2_CMIP6	[-]	0.195	0.195	0.679	-0.483	0.879	3.64	0.790	0.709	0.369	0.922	0.606
ACCESS-ESM1-5_BARPA	[-]	-0.202	-0.203	0.556	-0.760	1.01	3.89	0.695	0.730	0.310	0.672	0.606
ACCESS-ESM1-5_CCAM	[-]	0.100	0.0887	0.556	-0.468	0.873	3.89	0.798	0.706	0.310	0.889	0.655
ACCESS-ESM1-5_CMIP6	[-]	-0.192	-0.192	0.570	-0.763	1.01	3.81	0.694	0.734	0.325	0.675	0.608
CESM2_BARPA	[-]	-0.407	-0.408	0.556	-0.964	1.13	1.91	0.632	0.759	0.745	0.550	0.680
CESM2_CCAM	[-]	-0.681	-0.692	0.556	-1.25	1.41	1.92	0.549	0.729	0.744	0.428	0.621
CMCC-ESM2_BARPA	[-]	-0.145	-0.147	0.556	-0.704	0.825	3.02	0.714	0.816	0.523	0.717	0.697
CMCC-ESM2_CCAM	[-]	-0.447	-0.459	0.556	-1.02	1.09	3.41	0.613	0.825	0.454	0.510	0.600
CMCC-ESM2_CMIP6	[-]	-0.384	-0.384	0.627	-1.01	1.09	3.36	0.612	0.819	0.451	0.519	0.568
CNRM-ESM2-1_CCAM	[-]	0.691	0.677	0.556	0.121	0.746	2.54	0.927	0.711	0.601	0.940	0.733
CNRM-ESM2-1_CMIP6	[-]	0.484	0.484	0.384	0.101	0.817	2.78	0.920	0.691	0.555	0.876	0.703
EC-Earth3_BARPA	[-]	1.01	1.01	0.556	0.452	0.575	1.79	0.805	0.848	0.746	0.969	0.781
EC-Earth3_CCAM	[-]	0.969	0.954	0.556	0.398	0.566	2.30	0.827	0.826	0.640	0.981	0.763
EC-Earth3_CMIP6	[-]	0.998	0.998	0.552	0.445	0.581	2.72	0.807	0.838	0.553	0.974	0.719
ERA5_BARPA	[-]	0.459	0.456	0.556	-0.101	0.179	0.692	0.952	0.937	0.913	0.992	0.940
ERA5_CCAM	[-]	0.442	0.428	0.556	-0.128	0.164	0.444	0.937	0.961	0.952	0.993	0.947
MPI-ESM1-2-HR_BARPA	[-]	0.642	0.633	0.556	0.0766	0.713	3.65	0.950	0.717	0.353	0.956	0.727
NorESM2-MM_BARPA	[-]	-0.290	-0.290	0.556	-0.846	0.928	1.76	0.668	0.836	0.700	0.616	0.718
NorESM2-MM_CCAM	[-]	-0.687	-0.699	0.556	-1.26	1.33	2.13	0.547	0.807	0.643	0.424	0.612
NorESM2-MM_CMIP6	[-]	-0.574	-0.574	0.627	-1.20	1.29	2.42	0.558	0.797	0.582	0.425	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	[-]	-0.733
ACCESS-CM2_BARPA	[-]	-0.499	-0.491	-0.733	0.242	0.818	0.938	0.886	0.678	0.922	0.985	0.854
ACCESS-CM2_CCAM	[-]	-0.452	-0.442	-0.733	0.291	0.719	1.07	0.865	0.720	0.917	0.979	0.842
ACCESS-CM2_CMIP6	[-]	-0.758	-0.758	-0.753	-0.00422	0.823	0.959	0.962	0.664	0.936	0.986	0.871
ACCESS-ESM1-5_BARPA	[-]	-0.325	-0.320	-0.733	0.413	0.836	1.11	0.797	0.711	0.888	0.879	0.802
ACCESS-ESM1-5_CCAM	[-]	-0.461	-0.455	-0.733	0.278	0.736	1.08	0.854	0.717	0.847	0.936	0.806
ACCESS-ESM1-5_CMIP6	[-]	-0.468	-0.468	-0.743	0.274	0.653	0.947	0.863	0.749	0.889	0.960	0.808
CESM2_BARPA	[-]	-0.211	-0.205	-0.733	0.528	0.907	0.846	0.763	0.717	0.934	0.840	0.795
CESM2_CCAM	[-]	-0.394	-0.389	-0.733	0.344	0.796	1.18	0.738	0.768	0.896	0.535	0.773
CMCC-ESM2_BARPA	[-]	-0.816	-0.806	-0.733	-0.0734	0.605	0.361	0.944	0.742	0.971	0.997	0.872
CMCC-ESM2_CCAM	[-]	-1.21	-1.20	-0.733	-0.468	0.686	0.472	0.790	0.780	0.951	0.893	0.805
CMCC-ESM2_CMIP6	[-]	-1.21	-1.21	-0.727	-0.481	0.707	0.360	0.784	0.772	0.970	0.923	0.827
CNRM-ESM2-1_CCAM	[-]	-1.26	-1.25	-0.733	-0.518	0.891	0.914	0.778	0.709	0.882	0.945	0.827
CNRM-ESM2-1_CMIP6	[-]	-1.27	-1.27	-0.758	-0.513	0.884	0.839	0.780	0.710	0.881	0.945	0.832
EC-Earth3_BARPA	[-]	-0.335	-0.327	-0.733	0.406	0.618	1.22	0.816	0.808	0.877	0.903	0.837
EC-Earth3_CCAM	[-]	-0.607	-0.599	-0.733	0.134	0.498	1.63	0.892	0.806	0.786	0.953	0.823
EC-Earth3_CMIP6	[-]	-0.558	-0.558	-0.718	0.159	0.476	1.64	0.895	0.812	0.781	0.968	0.826
ERA5_BARPA	[-]	-0.786	-0.773	-0.733	-0.0407	0.253	0.0909	0.961	0.887	0.994	0.993	0.950
ERA5_CCAM	[-]	-0.853	-0.843	-0.733	-0.110	0.150	0.222	0.944	0.958	0.983	0.995	0.972
MPI-ESM1-2-HR_BARPA	[-]	-0.974	-0.961	-0.733	-0.228	0.604	1.09	0.891	0.756	0.906	0.984	0.869
NorESM2-MM_BARPA	[-]	-0.135	-0.130	-0.733	0.603	0.995	0.959	0.744	0.685	0.924	0.821	0.789
NorESM2-MM_CCAM	[-]	-0.538	-0.533	-0.733	0.200	0.789	1.10	0.785	0.729	0.902	0.621	0.773
NorESM2-MM_CMIP6	[-]	-0.479	-0.479	-0.727	0.248	0.821	1.45	0.769	0.726	0.847	0.580	0.746

	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	[-]	-0.125
ACCESS-CM2_BARPA	[-]	0.540	0.520	-0.125	0.645	0.801	0.775	0.657	0.731	0.942	0.478	0.705
ACCESS-CM2_CCAM	[-]	2.18	2.16	-0.125	2.29	2.36	0.754	0.221	0.684	0.945	0.282	0.550
ACCESS-CM2_CMIP6	[-]	0.313	0.313	-0.263	0.577	0.750	0.765	0.656	0.702	0.949	0.0224	0.596
ACCESS-ESM1-5_BARPA	[-]	0.128	0.110	-0.125	0.235	0.541	0.358	0.862	0.730	0.976	0.778	0.825
ACCESS-ESM1-5_CCAM	[-]	0.477	0.460	-0.125	0.585	0.748	0.470	0.685	0.739	0.969	0.496	0.724
ACCESS-ESM1-5_CMIP6	[-]	-0.132	-0.132	-0.103	-0.0290	0.449	0.814	0.932	0.755	0.946	0.862	0.861
CESM2_BARPA	[-]	1.16	1.14	-0.125	1.27	1.39	0.333	0.433	0.685	0.978	0.347	0.619
CESM2_CCAM	[-]	0.322	0.306	-0.125	0.431	0.555	0.300	0.761	0.801	0.980	0.574	0.781
CMCC-ESM2_BARPA	[-]	1.15	1.13	-0.125	1.25	1.37	0.669	0.438	0.687	0.955	0.347	0.616
CMCC-ESM2_CCAM	[-]	0.427	0.411	-0.125	0.537	0.663	1.38	0.709	0.781	0.868	0.506	0.723
CMCC-ESM2_CMIP6	[-]	0.377	0.377	-0.138	0.514	0.636	1.24	0.706	0.784	0.893	0.607	0.751
CNRM-ESM2-1_CCAM	[-]	0.648	0.634	-0.125	0.759	0.929	0.706	0.605	0.722	0.927	0.445	0.680
CNRM-ESM2-1_CMIP6	[-]	0.290	0.290	-0.231	0.521	0.643	0.169	0.695	0.768	0.989	0.0657	0.645
EC-Earth3_BARPA	[-]	0.898	0.876	-0.125	1.00	1.08	0.606	0.519	0.768	0.954	0.373	0.666
EC-Earth3_CCAM	[-]	0.302	0.283	-0.125	0.408	0.727	1.21	0.777	0.680	0.873	0.549	0.715
EC-Earth3_CMIP6	[-]	0.186	0.186	-0.126	0.312	0.701	0.732	0.829	0.667	0.915	0.583	0.739
ERA5_BARPA	[-]	0.504	0.488	-0.125	0.613	0.729	0.362	0.665	0.775	0.976	0.487	0.731
ERA5_CCAM	[-]	0.0884	0.0762	-0.125	0.201	0.231	0.115	0.878	0.935	0.992	0.835	0.913
MPI-ESM1-2-HR_BARPA	[-]	1.02	0.999	-0.125	1.12	1.28	0.520	0.479	0.675	0.947	0.339	0.617
NorESM2-MM_BARPA	[-]	0.951	0.937	-0.125	1.06	1.23	2.28	0.495	0.671	0.609	0.380	0.554
NorESM2-MM_CCAM	[-]	-0.0388	-0.0503	-0.125	0.0750	0.493	3.18	0.946	0.727	0.464	0.965	0.770
NorESM2-MM_CMIP6	[-]	-0.0491	-0.0491	-0.138	0.0884	0.464	3.49	0.918	0.741	0.384	0.852	0.725

	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	[-]	-0.116
ACCESS-CM2_BARPA	[-]	0.0199	0.0292	-0.117		0.0210	0.147	0.763	2.07	0.815	0.656	0.683	0.947	0.751
ACCESS-CM2_CCAM	[-]	0.583	0.585	-0.115		-0.257	0.700	1.20	2.19	0.579	0.629	0.659	0.844	0.668
ACCESS-CM2_CMIP6	[-]	-0.0239	-0.0102	-0.120	-0.194		0.109	0.709	2.04	0.842	0.675	0.688	0.949	0.766
ACCESS-ESM1-5_BARPA	[-]	-0.0641	-0.0510	-0.117		0.0210	0.0664	0.774	1.89	0.793	0.685	0.716	0.880	0.752
ACCESS-ESM1-5_CCAM	[-]	0.154	0.155	-0.115		-0.257	0.269	0.837	1.99	0.746	0.659	0.699	0.899	0.732
ACCESS-ESM1-5_CMIP6	[-]	-0.0523	-0.0649	-0.122	0.257		0.0573	0.759	1.93	0.817	0.673	0.714	0.885	0.752
CESM2_BARPA	[-]	0.226	0.238	-0.117		0.0210	0.355	1.14	2.18	0.633	0.622	0.662	0.728	0.653
CESM2_CCAM	[-]	-0.0437	-0.0440	-0.115		-0.257	0.0706	0.876	1.92	0.733	0.694	0.713	0.773	0.721
CMCC-ESM2_BARPA	[-]	0.124	0.135	-0.117		0.0210	0.252	0.892	1.98	0.694	0.646	0.706	0.902	0.719
CMCC-ESM2_CCAM	[-]	-0.128	-0.129	-0.115		-0.257	-0.0148	0.703	1.80	0.793	0.690	0.743	0.923	0.768
CMCC-ESM2_CMIP6	[-]	-0.134	-0.130	-0.104	-0.204		-0.0254	0.707	1.76	0.797	0.678	0.751	0.924	0.766
CNRM-ESM2-1_CCAM	[-]	-0.0624	-0.0630	-0.115		-0.257	0.0516	0.851	2.15	0.788	0.629	0.674	0.917	0.727
CNRM-ESM2-1_CMIP6	[-]	-0.0799	-0.0684	-0.104	-0.280		0.0359	0.867	2.26	0.778	0.619	0.653	0.908	0.716
EC-Earth3_BARPA	[-]	0.146	0.160	-0.117		0.0210	0.277	0.762	1.86	0.719	0.692	0.727	0.946	0.755
EC-Earth3_CCAM	[-]	0.0188	0.0193	-0.115		-0.257	0.134	0.630	2.07	0.816	0.709	0.691	0.970	0.779
EC-Earth3_CMIP6	[-]	-0.00369	0.00828	-0.109	-0.331		0.117	0.624	2.10	0.821	0.710	0.684	0.969	0.779
ERA5_BARPA	[-]	-0.0523	-0.0416	-0.117		0.0210	0.0759	0.284	0.870	0.874	0.847	0.882	0.989	0.888
ERA5_CCAM	[-]	-0.109	-0.110	-0.115		-0.257	0.00491	0.119	0.535	0.948	0.925	0.922	0.998	0.944
MPI-ESM1-2-HR_BARPA	[-]	0.168	0.179	-0.117		0.0210	0.297	0.834	1.92	0.721	0.684	0.713	0.915	0.743
NorESM2-MM_BARPA	[-]	0.132	0.141	-0.117		0.0210	0.259	1.08	2.03	0.632	0.626	0.690	0.767	0.668
NorESM2-MM_CCAM	[-]	-0.113	-0.116	-0.115		-0.257	-0.00125	0.751	2.02	0.768	0.719	0.689	0.837	0.746
NorESM2-MM_CMIP6	[-]	-0.131	-0.132	-0.104	-0.103		-0.0276	0.754	2.05	0.764	0.714	0.682	0.833	0.742

	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	[-]	-0.0918
ACCESS-CM2_BARPA	[-]	-0.00846	-0.0106	-0.0965		0.347	0.0859	0.511	2.29	0.740	0.579	0.643	0.617	0.632
ACCESS-CM2_CCAM	[-]	0.630	0.630	-0.0965		0.347	0.727	1.12	2.68	0.404	0.478	0.569	0.106	0.407
ACCESS-CM2_CMIP6	[-]	-0.0134	-0.0189	-0.104	0.0868		0.0852	0.433	2.34	0.794	0.603	0.637	0.794	0.686
ACCESS-ESM1-5_BARPA	[-]	-0.0940	-0.0978	-0.0965		0.347	-0.00133	0.418	1.96	0.804	0.627	0.692	0.816	0.713
ACCESS-ESM1-5_CCAM	[-]	0.119	0.117	-0.0965		0.347	0.214	0.530	2.31	0.710	0.581	0.632	0.525	0.606
ACCESS-ESM1-5_CMIP6	[-]	-0.0882	-0.0882	-0.0958			0.00768	0.448	2.35	0.818	0.590	0.633	0.838	0.694
CESM2_BARPA	[-]	0.166	0.168	-0.0965		0.347	0.264	0.831	2.28	0.514	0.536	0.646	0.169	0.480
CESM2_CCAM	[-]	-0.150	-0.152	-0.0965		0.347	-0.0557	0.448	1.69	0.713	0.661	0.756	0.570	0.672
CMCC-ESM2_BARPA	[-]	0.172	0.173	-0.0965		0.347	0.269	0.715	2.48	0.520	0.590	0.606	0.278	0.517
CMCC-ESM2_CCAM	[-]	-0.106	-0.108	-0.0965		0.347	-0.0113	0.417	1.89	0.798	0.623	0.725	0.806	0.715
CMCC-ESM2_CMIP6	[-]	-0.105	-0.115	-0.101	0.133		-0.0141	0.455	2.15	0.795	0.586	0.677	0.816	0.692
CNRM-ESM2-1_CCAM	[-]	0.0920	0.0897	-0.0965		0.347	0.186	0.494	2.50	0.759	0.583	0.601	0.734	0.652
CNRM-ESM2-1_CMIP6	[-]	0.0901	0.0861	-0.101	0.159		0.187	0.551	2.69	0.721	0.567	0.568	0.543	0.593
EC-Earth3_BARPA	[-]	0.168	0.167	-0.0965		0.347	0.263	0.650	2.00	0.555	0.616	0.692	0.332	0.562
EC-Earth3_CCAM	[-]	0.00281	0.00130	-0.0965		0.347	0.0978	0.421	2.27	0.753	0.648	0.651	0.729	0.686
EC-Earth3_CMIP6	[-]	-0.0260	-0.0284	-0.0999	0.0538		0.0715	0.423	2.36	0.764	0.646	0.634	0.689	0.676
ERA5_BARPA	[-]	0.0213	0.0192	-0.0965		0.347	0.116	0.309	1.36	0.762	0.773	0.805	0.754	0.774
ERA5_CCAM	[-]	-0.0811	-0.0839	-0.0965		0.347	0.0126	0.138	0.841	0.901	0.868	0.874	0.952	0.893
MPI-ESM1-2-HR_BARPA	[-]	0.0803	0.0795	-0.0965		0.347	0.176	0.624	1.99	0.581	0.629	0.698	0.299	0.567
NorESM2-MM_BARPA	[-]	0.0236	0.0239	-0.0965		0.347	0.120	0.856	2.50	0.506	0.509	0.601	0.193	0.464
NorESM2-MM_CCAM	[-]	-0.202	-0.208	-0.0965		0.347	-0.111	0.392	2.55	0.763	0.661	0.603	0.816	0.701
NorESM2-MM_CMIP6	[-]	-0.215	-0.234	-0.101	0.256		-0.134	0.428	2.68	0.744	0.648	0.570	0.767	0.675

	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	[-]	1.66
ACCESS-CM2_BARPA	[-]	1.52	1.52	1.66	-0.134	0.505	2.87	0.928	0.786	0.496	0.734	0.746
ACCESS-CM2_CCAM	[-]	2.21	2.22	1.66	0.558	0.731	2.94	0.767	0.813	0.497	0.169	0.612
ACCESS-CM2_CMIP6	[-]	1.31	1.31	1.66	-0.348	0.596	2.59	0.838	0.792	0.563	0.675	0.732
ACCESS-ESM1-5_BARPA	[-]	1.16	1.16	1.66	-0.496	0.767	2.41	0.778	0.749	0.644	0.644	0.713
ACCESS-ESM1-5_CCAM	[-]	1.52	1.52	1.66	-0.137	0.636	2.41	0.904	0.742	0.644	0.405	0.687
ACCESS-ESM1-5_CMIP6	[-]	1.09	1.09	1.66	-0.564	0.789	2.30	0.750	0.760	0.667	0.554	0.698
CESM2_BARPA	[-]	1.43	1.43	1.66	-0.229	0.728	2.96	0.846	0.731	0.512	0.179	0.600
CESM2_CCAM	[-]	0.998	0.999	1.66	-0.659	0.968	3.02	0.719	0.705	0.491	0.310	0.586
CMCC-ESM2_BARPA	[-]	1.72	1.72	1.66	0.0613	0.582	2.00	0.869	0.782	0.730	0.175	0.668
CMCC-ESM2_CCAM	[-]	1.42	1.42	1.66	-0.235	0.561	2.10	0.865	0.804	0.702	0.229	0.681
CMCC-ESM2_CMIP6	[-]	1.40	1.40	1.66	-0.260	0.537	1.73	0.861	0.821	0.745	0.219	0.694
CNRM-ESM2-1_CCAM	[-]	1.71	1.71	1.66	0.0505	0.781	2.92	0.970	0.676	0.511	0.997	0.766
CNRM-ESM2-1_CMIP6	[-]	1.63	1.63	1.66	-0.0328	0.835	3.00	0.950	0.659	0.502	0.953	0.744
EC-Earth3_BARPA	[-]	2.27	2.27	1.66	0.610	0.928	3.41	0.736	0.703	0.408	0.772	0.664
EC-Earth3_CCAM	[-]	2.22	2.22	1.66	0.557	0.897	3.73	0.755	0.702	0.361	0.937	0.691
EC-Earth3_CMIP6	[-]	2.23	2.23	1.66	0.575	0.955	3.64	0.749	0.681	0.380	0.847	0.668
ERA5_BARPA	[-]	1.62	1.62	1.66	-0.0399	0.257	0.946	0.953	0.893	0.865	0.755	0.872
ERA5_CCAM	[-]	1.64	1.64	1.66	-0.0220	0.101	0.701	0.979	0.957	0.889	0.993	0.955
MPI-ESM1-2-HR_BARPA	[-]	2.37	2.37	1.66	0.714	1.05	3.68	0.703	0.685	0.365	0.331	0.554
NorESM2-MM_BARPA	[-]	1.32	1.32	1.66	-0.334	0.850	1.08	0.844	0.689	0.823	0.380	0.685
NorESM2-MM_CCAM	[-]	0.756	0.756	1.66	-0.902	1.08	1.68	0.634	0.743	0.726	0.620	0.693
NorESM2-MM_CMIP6	[-]	0.750	0.750	1.66	-0.909	1.09	1.18	0.631	0.739	0.800	0.559	0.694

	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	[-]	1.27
ACCESS-CM2_BARPA	[-]	1.58	1.58	1.27	0.310	0.572	1.91	0.869	0.810	0.770	0.428	0.737
ACCESS-CM2_CCAM	[-]	2.80	2.80	1.27	1.54	1.59	1.89	0.495	0.832	0.773	0.859	0.758
ACCESS-CM2_CMIP6	[-]	1.53	1.53	1.26	0.266	0.516	1.81	0.883	0.829	0.789	0.144	0.695
ACCESS-ESM1-5_BARPA	[-]	1.19	1.19	1.27	-0.0751	0.656	1.94	0.937	0.744	0.764	0.466	0.731
ACCESS-ESM1-5_CCAM	[-]	1.73	1.73	1.27	0.467	0.764	1.71	0.808	0.762	0.805	0.338	0.695
ACCESS-ESM1-5_CMIP6	[-]	1.26	1.26	1.28	-0.0203	0.542	1.93	0.931	0.786	0.767	0.394	0.733
CESM2_BARPA	[-]	2.02	2.03	1.27	0.759	0.983	1.09	0.709	0.758	0.856	0.680	0.753
CESM2_CCAM	[-]	1.27	1.27	1.27	0.00545	0.514	1.25	0.928	0.802	0.886	0.326	0.749
CMCC-ESM2_BARPA	[-]	2.19	2.19	1.27	0.928	1.09	1.88	0.653	0.770	0.760	0.507	0.692
CMCC-ESM2_CCAM	[-]	1.74	1.74	1.27	0.475	0.771	1.98	0.805	0.759	0.757	0.389	0.694
CMCC-ESM2_CMIP6	[-]	1.67	1.67	1.29	0.371	0.740	2.03	0.843	0.744	0.749	0.441	0.704
CNRM-ESM2-1_CCAM	[-]	1.62	1.62	1.27	0.352	1.06	2.89	0.851	0.631	0.530	0.636	0.656
CNRM-ESM2-1_CMIP6	[-]	1.63	1.63	1.23	0.399	1.16	2.86	0.833	0.605	0.544	0.676	0.652
EC-Earth3_BARPA	[-]	2.21	2.21	1.27	0.944	1.21	2.95	0.645	0.706	0.517	0.840	0.683
EC-Earth3_CCAM	[-]	2.00	1.99	1.27	0.728	1.13	2.95	0.713	0.669	0.517	0.953	0.704
EC-Earth3_CMIP6	[-]	2.09	2.09	1.28	0.806	1.22	2.95	0.687	0.653	0.516	0.974	0.697
ERA5_BARPA	[-]	1.57	1.57	1.27	0.308	0.510	1.13	0.868	0.831	0.909	0.753	0.839
ERA5_CCAM	[-]	1.36	1.36	1.27	0.0918	0.140	0.499	0.958	0.956	0.934	0.994	0.960
MPI-ESM1-2-HR_BARPA	[-]	2.54	2.53	1.27	1.27	1.54	2.10	0.556	0.670	0.727	0.585	0.641
NorESM2-MM_BARPA	[-]	1.61	1.61	1.27	0.347	1.04	0.0988	0.854	0.641	0.985	0.390	0.702
NorESM2-MM_CCAM	[-]	0.877	0.876	1.27	-0.390	0.751	0.230	0.835	0.746	0.971	0.392	0.738
NorESM2-MM_CMIP6	[-]	0.786	0.786	1.29	-0.508	0.813	0.00	0.789	0.746	1.00	0.499	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	[-]	1.56
ACCESS-CM2_BARPA	[-]	1.32	1.33	1.56	-0.228	0.526	0.804	0.892	0.795	0.903	0.609	0.799
ACCESS-CM2_CCAM	[-]	1.87	1.89	1.56	0.327	0.620	2.03	0.855	0.786	0.665	0.194	0.657
ACCESS-CM2_CMIP6	[-]	1.20	1.20	1.60	-0.392	0.599	1.02	0.821	0.797	0.874	0.195	0.697
ACCESS-ESM1-5_BARPA	[-]	0.964	0.974	1.56	-0.587	0.829	1.05	0.747	0.752	0.926	0.458	0.727
ACCESS-ESM1-5_CCAM	[-]	1.34	1.35	1.56	-0.214	0.676	1.05	0.880	0.738	0.926	0.292	0.715
ACCESS-ESM1-5_CMIP6	[-]	0.899	0.899	1.57	-0.668	0.871	1.02	0.717	0.762	0.933	0.187	0.672
CESM2_BARPA	[-]	1.05	1.07	1.56	-0.493	0.821	4.35	0.783	0.737	0.201	0.168	0.525
CESM2_CCAM	[-]	0.791	0.803	1.56	-0.757	1.05	3.62	0.688	0.699	0.357	0.270	0.543
CMCC-ESM2_BARPA	[-]	1.39	1.41	1.56	-0.152	0.626	4.95	0.864	0.770	0.0932	0.134	0.526
CMCC-ESM2_CCAM	[-]	1.18	1.19	1.56	-0.369	0.640	2.24	0.827	0.800	0.661	0.164	0.650
CMCC-ESM2_CMIP6	[-]	1.20	1.20	1.56	-0.364	0.611	2.79	0.828	0.812	0.554	0.118	0.625
CNRM-ESM2-1_CCAM	[-]	1.66	1.66	1.56	0.103	0.692	0.973	0.949	0.713	0.924	0.983	0.856
CNRM-ESM2-1_CMIP6	[-]	1.50	1.50	1.54	-0.0402	0.669	0.601	0.962	0.719	0.960	0.963	0.865
EC-Earth3_BARPA	[-]	2.09	2.09	1.56	0.533	0.797	0.242	0.768	0.745	0.973	0.713	0.789
EC-Earth3_CCAM	[-]	2.15	2.16	1.56	0.597	0.863	0.477	0.743	0.733	0.938	0.886	0.806
EC-Earth3_CMIP6	[-]	2.14	2.14	1.56	0.579	0.855	0.628	0.751	0.732	0.927	0.692	0.767
ERA5_BARPA	[-]	1.45	1.46	1.56	-0.105	0.319	1.76	0.937	0.872	0.679	0.759	0.824
ERA5_CCAM	[-]	1.57	1.57	1.56	0.0134	0.108	0.704	0.972	0.958	0.884	0.923	0.939
MPI-ESM1-2-HR_BARPA	[-]	2.34	2.35	1.56	0.792	1.03	1.13	0.678	0.726	0.907	0.242	0.656
NorESM2-MM_BARPA	[-]	1.01	1.03	1.56	-0.535	0.929	4.85	0.768	0.697	0.113	0.329	0.521
NorESM2-MM_CCAM	[-]	0.663	0.673	1.56	-0.888	1.06	3.97	0.644	0.749	0.270	0.414	0.565
NorESM2-MM_CMIP6	[-]	0.615	0.615	1.56	-0.946	1.11	4.08	0.624	0.747	0.244	0.282	0.529

	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	[-]	0.745
ACCESS-CM2_BARPA	[-]	1.28	1.27	0.745	0.526	0.729	1.33	0.761	0.777	0.861	0.845	0.804
ACCESS-CM2_CCAM	[-]	2.85	2.84	0.745	2.10	2.15	1.13	0.339	0.792	0.885	0.661	0.694
ACCESS-CM2_CMIP6	[-]	1.17	1.17	0.714	0.458	0.639	1.32	0.788	0.809	0.861	0.717	0.797
ACCESS-ESM1-5_BARPA	[-]	0.874	0.870	0.745	0.125	0.671	0.917	0.926	0.714	0.923	0.897	0.835
ACCESS-ESM1-5_CCAM	[-]	1.23	1.23	0.745	0.484	0.785	1.06	0.779	0.736	0.901	0.916	0.814
ACCESS-ESM1-5_CMIP6	[-]	0.648	0.648	0.710	-0.0617	0.581	1.49	0.942	0.744	0.840	0.968	0.848
CESM2_BARPA	[-]	1.72	1.71	0.745	0.967	1.24	0.347	0.610	0.679	0.974	0.759	0.740
CESM2_CCAM	[-]	1.02	1.02	0.745	0.270	0.550	0.676	0.865	0.799	0.949	0.735	0.829
CMCC-ESM2_BARPA	[-]	1.83	1.82	0.745	1.07	1.28	0.497	0.576	0.710	0.961	0.858	0.763
CMCC-ESM2_CCAM	[-]	1.09	1.08	0.745	0.335	0.609	1.58	0.841	0.787	0.829	0.925	0.834
CMCC-ESM2_CMIP6	[-]	0.999	0.999	0.762	0.237	0.563	1.61	0.868	0.787	0.822	0.894	0.832
CNRM-ESM2-1_CCAM	[-]	1.49	1.49	0.745	0.745	1.24	2.25	0.678	0.606	0.679	0.963	0.706
CNRM-ESM2-1_CMIP6	[-]	1.37	1.37	0.693	0.681	1.21	2.22	0.701	0.602	0.687	0.984	0.715
EC-Earth3_BARPA	[-]	1.76	1.76	0.745	1.01	1.15	0.815	0.591	0.761	0.915	0.946	0.795
EC-Earth3_CCAM	[-]	1.25	1.25	0.745	0.501	0.983	1.65	0.773	0.648	0.805	0.989	0.773
EC-Earth3_CMIP6	[-]	1.28	1.28	0.760	0.520	0.989	1.52	0.768	0.651	0.816	0.983	0.774
ERA5_BARPA	[-]	1.19	1.19	0.745	0.442	0.634	1.22	0.795	0.791	0.882	0.890	0.830
ERA5_CCAM	[-]	0.875	0.869	0.745	0.124	0.170	0.609	0.937	0.946	0.941	0.982	0.950
MPI-ESM1-2-HR_BARPA	[-]	1.73	1.72	0.745	0.977	1.25	1.51	0.606	0.671	0.839	0.937	0.745
NorESM2-MM_BARPA	[-]	1.39	1.38	0.745	0.638	1.13	0.921	0.723	0.630	0.868	0.527	0.675
NorESM2-MM_CCAM	[-]	0.529	0.526	0.745	-0.220	0.676	1.23	0.891	0.724	0.835	0.767	0.788
NorESM2-MM_CMIP6	[-]	0.396	0.396	0.762	-0.367	0.745	2.12	0.834	0.722	0.677	0.720	0.735

	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	[-]	0.465
ACCESS-CM2_BARPA	[-]	0.672	0.669	0.465	0.204	0.600	1.98	0.867	0.676	0.720	0.992	0.786
ACCESS-CM2_CCAM	[-]	2.02	2.02	0.465	1.55	1.68	1.17	0.341	0.640	0.892	0.956	0.694
ACCESS-CM2_CMIP6	[-]	0.689	0.689	0.441	0.248	0.632	2.03	0.840	0.670	0.707	0.984	0.774
ACCESS-ESM1-5_BARPA	[-]	0.664	0.662	0.465	0.196	0.598	0.959	0.875	0.681	0.909	0.978	0.825
ACCESS-ESM1-5_CCAM	[-]	0.825	0.822	0.465	0.357	0.688	1.56	0.779	0.666	0.796	0.922	0.766
ACCESS-ESM1-5_CMIP6	[-]	0.387	0.387	0.489	-0.103	0.678	1.51	0.930	0.628	0.796	0.985	0.793
CESM2_BARPA	[-]	0.896	0.896	0.465	0.431	0.846	2.16	0.745	0.616	0.678	0.915	0.714
CESM2_CCAM	[-]	0.651	0.647	0.465	0.182	0.544	1.63	0.881	0.705	0.786	0.984	0.812
CMCC-ESM2_BARPA	[-]	0.756	0.754	0.465	0.289	0.784	2.09	0.821	0.624	0.699	0.898	0.733
CMCC-ESM2_CCAM	[-]	0.136	0.134	0.465	-0.331	0.681	2.96	0.802	0.673	0.490	0.787	0.685
CMCC-ESM2_CMIP6	[-]	0.0249	0.0249	0.479	-0.454	0.738	3.48	0.738	0.673	0.407	0.673	0.633
CNRM-ESM2-1_CCAM	[-]	1.08	1.08	0.465	0.613	1.01	2.19	0.655	0.580	0.666	0.893	0.675
CNRM-ESM2-1_CMIP6	[-]	1.06	1.06	0.463	0.594	1.01	2.18	0.663	0.571	0.673	0.861	0.668
EC-Earth3_BARPA	[-]	1.21	1.21	0.465	0.744	0.815	0.408	0.594	0.798	0.967	0.978	0.827
EC-Earth3_CCAM	[-]	0.722	0.718	0.465	0.253	0.680	1.25	0.840	0.645	0.793	0.991	0.783
EC-Earth3_CMIP6	[-]	0.665	0.665	0.460	0.205	0.660	1.57	0.871	0.647	0.725	0.979	0.774
ERA5_BARPA	[-]	0.637	0.636	0.465	0.171	0.379	1.24	0.886	0.800	0.853	0.982	0.864
ERA5_CCAM	[-]	0.525	0.523	0.465	0.0576	0.156	0.0514	0.947	0.915	0.994	0.988	0.952
MPI-ESM1-2-HR_BARPA	[-]	0.926	0.925	0.465	0.459	0.710	1.21	0.728	0.696	0.894	0.969	0.796
NorESM2-MM_BARPA	[-]	0.451	0.450	0.465	-0.0151	0.857	2.30	0.811	0.579	0.656	0.763	0.678
NorESM2-MM_CCAM	[-]	0.510	0.507	0.465	0.0421	0.477	1.73	0.943	0.724	0.780	0.848	0.804
NorESM2-MM_CMIP6	[-]	0.396	0.396	0.479	-0.0832	0.496	1.89	0.923	0.719	0.746	0.863	0.794

	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	[-]	1.19
ACCESS-CM2_BARPA	[-]	1.01	1.02	1.19	-0.176	0.560	2.61	0.914	0.763	0.605	0.981	0.805
ACCESS-CM2_CCAM	[-]	1.13	1.13	1.19	-0.0602	0.573	2.73	0.961	0.746	0.598	0.971	0.804
ACCESS-CM2_CMIP6	[-]	0.719	0.719	1.18	-0.459	0.730	3.43	0.788	0.749	0.451	0.947	0.737
ACCESS-ESM1-5_BARPA	[-]	0.602	0.606	1.19	-0.587	0.824	4.38	0.739	0.746	0.221	0.980	0.687
ACCESS-ESM1-5_CCAM	[-]	0.763	0.767	1.19	-0.426	0.764	4.39	0.802	0.721	0.219	0.989	0.690
ACCESS-ESM1-5_CMIP6	[-]	0.592	0.592	1.20	-0.603	0.830	4.43	0.733	0.749	0.200	0.964	0.679
CESM2_BARPA	[-]	0.576	0.581	1.19	-0.613	0.884	1.86	0.731	0.724	0.754	0.962	0.779
CESM2_CCAM	[-]	0.106	0.111	1.19	-1.08	1.26	2.17	0.571	0.715	0.705	0.778	0.697
CMCC-ESM2_BARPA	[-]	0.719	0.724	1.19	-0.470	0.661	1.75	0.786	0.795	0.756	0.977	0.822
CMCC-ESM2_CCAM	[-]	0.276	0.281	1.19	-0.913	1.00	2.18	0.623	0.805	0.675	0.884	0.758
CMCC-ESM2_CMIP6	[-]	0.251	0.251	1.17	-0.921	1.02	2.20	0.620	0.796	0.687	0.862	0.752
CNRM-ESM2-1_CCAM	[-]	1.13	1.13	1.19	-0.0620	0.650	3.26	0.960	0.717	0.464	0.994	0.770
CNRM-ESM2-1_CMIP6	[-]	1.07	1.07	1.18	-0.110	0.675	3.32	0.945	0.709	0.448	0.999	0.762
EC-Earth3_BARPA	[-]	1.72	1.72	1.19	0.527	0.662	2.88	0.761	0.819	0.519	0.994	0.782
EC-Earth3_CCAM	[-]	1.56	1.56	1.19	0.370	0.573	3.11	0.826	0.799	0.481	0.998	0.780
EC-Earth3_CMIP6	[-]	1.57	1.57	1.18	0.381	0.560	3.15	0.821	0.810	0.468	0.995	0.781
ERA5_BARPA	[-]	1.13	1.13	1.19	-0.0636	0.179	0.475	0.959	0.925	0.942	0.985	0.947
ERA5_CCAM	[-]	1.08	1.09	1.19	-0.106	0.142	0.769	0.946	0.954	0.883	0.999	0.947
MPI-ESM1-2-HR_BARPA	[-]	1.30	1.30	1.19	0.109	0.697	3.78	0.943	0.703	0.355	0.917	0.724
NorESM2-MM_BARPA	[-]	0.668	0.673	1.19	-0.521	0.660	1.08	0.767	0.819	0.847	0.978	0.846
NorESM2-MM_CCAM	[-]	0.0611	0.0657	1.19	-1.13	1.24	1.42	0.557	0.761	0.818	0.715	0.722
NorESM2-MM_CMIP6	[-]	0.0445	0.0445	1.17	-1.13	1.25	1.39	0.557	0.757	0.821	0.674	0.713

	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	[-]	0.974
ACCESS-CM2_BARPA	[-]	1.06	1.06	0.974	0.0817	0.632	2.28	0.929	0.722	0.647	0.991	0.802
ACCESS-CM2_CCAM	[-]	2.05	2.05	0.974	1.08	1.25	2.40	0.574	0.730	0.606	0.959	0.720
ACCESS-CM2_CMIP6	[-]	0.919	0.919	0.965	-0.0455	0.670	2.73	0.903	0.716	0.550	0.941	0.765
ACCESS-ESM1-5_BARPA	[-]	0.993	0.992	0.974	0.0180	0.738	2.06	0.872	0.701	0.687	0.827	0.758
ACCESS-ESM1-5_CCAM	[-]	1.15	1.15	0.974	0.177	0.803	2.30	0.869	0.672	0.638	0.924	0.755
ACCESS-ESM1-5_CMIP6	[-]	0.855	0.855	0.981	-0.126	0.839	2.28	0.870	0.662	0.650	0.869	0.743
CESM2_BARPA	[-]	1.06	1.06	0.974	0.0863	0.891	2.07	0.927	0.635	0.717	0.990	0.781
CESM2_CCAM	[-]	0.919	0.918	0.974	-0.0560	0.829	2.54	0.826	0.689	0.614	0.767	0.717
CMCC-ESM2_BARPA	[-]	1.08	1.08	0.974	0.108	1.03	1.83	0.889	0.605	0.761	0.944	0.761
CMCC-ESM2_CCAM	[-]	0.466	0.465	0.974	-0.509	0.833	2.48	0.758	0.717	0.631	0.938	0.752
CMCC-ESM2_CMIP6	[-]	0.444	0.444	0.966	-0.523	0.807	2.31	0.754	0.730	0.668	0.942	0.765
CNRM-ESM2-1_CCAM	[-]	1.30	1.30	0.974	0.330	0.990	3.06	0.837	0.621	0.476	0.983	0.708
CNRM-ESM2-1_CMIP6	[-]	1.26	1.26	0.966	0.295	0.987	3.13	0.854	0.618	0.464	0.976	0.706
EC-Earth3_BARPA	[-]	1.82	1.82	0.974	0.842	0.999	1.97	0.640	0.769	0.693	0.967	0.768
EC-Earth3_CCAM	[-]	1.49	1.49	0.974	0.518	0.836	3.58	0.760	0.724	0.371	0.985	0.713
EC-Earth3_CMIP6	[-]	1.45	1.45	0.974	0.480	0.837	3.62	0.776	0.713	0.365	0.990	0.711
ERA5_BARPA	[-]	0.999	0.998	0.974	0.0235	0.339	0.949	0.959	0.843	0.890	0.993	0.905
ERA5_CCAM	[-]	0.998	0.997	0.974	0.0225	0.113	0.305	0.970	0.951	0.951	0.999	0.965
MPI-ESM1-2-HR_BARPA	[-]	1.24	1.24	0.974	0.265	0.786	1.93	0.872	0.684	0.743	0.971	0.791
NorESM2-MM_BARPA	[-]	0.759	0.757	0.974	-0.217	0.944	1.76	0.876	0.621	0.761	0.982	0.772
NorESM2-MM_CCAM	[-]	0.628	0.628	0.974	-0.346	0.888	1.84	0.787	0.690	0.742	0.626	0.707
NorESM2-MM_CMIP6	[-]	0.613	0.613	0.966	-0.353	0.878	1.97	0.783	0.693	0.720	0.640	0.706

	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	[-]	-0.187
ACCESS-CM2_BARPA	[-]	-0.0500	-0.0500	-0.187	0.137	0.622	1.21	0.910	0.735	0.814	0.987	0.836
ACCESS-CM2_CCAM	[-]	0.376	0.378	-0.187	0.565	0.832	1.93	0.749	0.733	0.707	0.888	0.762
ACCESS-CM2_CMIP6	[-]	-0.128	-0.128	-0.185	0.0570	0.671	2.03	0.911	0.715	0.686	0.969	0.799
ACCESS-ESM1-5_BARPA	[-]	0.0662	0.0669	-0.187	0.254	0.686	1.12	0.826	0.748	0.848	0.901	0.814
ACCESS-ESM1-5_CCAM	[-]	0.0684	0.0691	-0.187	0.256	0.809	1.97	0.834	0.685	0.669	0.909	0.756
ACCESS-ESM1-5_CMIP6	[-]	0.0170	0.0170	-0.186	0.203	0.688	1.88	0.842	0.736	0.708	0.928	0.790
CESM2_BARPA	[-]	-0.111	-0.110	-0.187	0.0771	0.688	1.66	0.924	0.710	0.782	0.977	0.821
CESM2_CCAM	[-]	-0.0237	-0.0225	-0.187	0.165	0.816	2.33	0.762	0.734	0.665	0.650	0.709
CMCC-ESM2_BARPA	[-]	-0.404	-0.404	-0.187	-0.217	0.934	2.13	0.893	0.635	0.681	0.982	0.765
CMCC-ESM2_CCAM	[-]	-0.895	-0.895	-0.187	-0.707	1.02	2.21	0.692	0.687	0.658	0.891	0.723
CMCC-ESM2_CMIP6	[-]	-0.843	-0.843	-0.203	-0.640	0.970	2.26	0.716	0.687	0.649	0.906	0.729
CNRM-ESM2-1_CCAM	[-]	-0.342	-0.341	-0.187	-0.154	0.817	2.28	0.920	0.660	0.662	0.988	0.778
CNRM-ESM2-1_CMIP6	[-]	-0.337	-0.337	-0.175	-0.162	0.793	2.43	0.917	0.666	0.635	0.990	0.775
EC-Earth3_BARPA	[-]	0.620	0.620	-0.187	0.807	0.949	2.46	0.658	0.778	0.601	0.882	0.739
EC-Earth3_CCAM	[-]	0.310	0.311	-0.187	0.498	0.667	3.11	0.770	0.800	0.459	0.947	0.755
EC-Earth3_CMIP6	[-]	0.302	0.302	-0.183	0.484	0.643	2.68	0.776	0.810	0.551	0.950	0.779
ERA5_BARPA	[-]	-0.290	-0.290	-0.187	-0.102	0.325	0.660	0.932	0.860	0.899	0.990	0.908
ERA5_CCAM	[-]	-0.255	-0.255	-0.187	-0.0675	0.138	0.423	0.959	0.947	0.940	0.998	0.958
MPI-ESM1-2-HR_BARPA	[-]	-0.330	-0.329	-0.187	-0.142	0.674	1.94	0.914	0.713	0.720	0.984	0.809
NorESM2-MM_BARPA	[-]	-0.115	-0.116	-0.187	0.0715	0.670	1.64	0.898	0.723	0.781	0.976	0.820
NorESM2-MM_CCAM	[-]	-0.264	-0.263	-0.187	-0.0756	0.774	2.74	0.821	0.718	0.554	0.704	0.703
NorESM2-MM_CMIP6	[-]	-0.253	-0.253	-0.203	-0.0506	0.790	2.66	0.817	0.714	0.568	0.692	0.701

	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	[-]	0.0323
ACCESS-CM2_BARPA	[-]	-0.324	-0.319	0.0323	-0.352	1.03	5.07	0.852	0.644	0.0775	0.530	0.549
ACCESS-CM2_CCAM	[-]	-0.298	-0.294	0.0323	-0.326	1.16	5.07	0.863	0.605	0.0775	0.522	0.534
ACCESS-CM2_CMIP6	[-]	-0.281	-0.281	0.207	-0.488	1.07	5.10	0.798	0.643	0.0631	-1.11e-16	0.429
ACCESS-ESM1-5_BARPA	[-]	-0.841	-0.835	0.0323	-0.868	1.18	4.26	0.674	0.698	0.212	0.426	0.541
ACCESS-ESM1-5_CCAM	[-]	-0.408	-0.404	0.0323	-0.436	0.977	4.26	0.821	0.673	0.212	0.481	0.572
ACCESS-ESM1-5_CMIP6	[-]	-0.933	-0.933	-0.0903	-0.843	1.20	4.08	0.687	0.684	0.244	0.705	0.601
CESM2_BARPA	[-]	-1.16	-1.16	0.0323	-1.19	1.30	1.04	0.582	0.788	0.920	0.412	0.698
CESM2_CCAM	[-]	-1.32	-1.32	0.0323	-1.35	1.50	1.04	0.542	0.745	0.920	0.399	0.670
CMCC-ESM2_BARPA	[-]	-0.774	-0.770	0.0323	-0.802	0.923	2.79	0.695	0.813	0.598	0.430	0.669
CMCC-ESM2_CCAM	[-]	-0.960	-0.958	0.0323	-0.991	1.08	3.86	0.638	0.822	0.387	0.404	0.615
CMCC-ESM2_CMIP6	[-]	-0.936	-0.936	0.111	-1.05	1.14	6.05	0.617	0.814	7.41e-05	0.0931	0.468
CNRM-ESM2-1_CCAM	[-]	0.411	0.409	0.0323	0.377	0.951	3.65	0.843	0.673	0.342	0.724	0.651
CNRM-ESM2-1_CMIP6	[-]	0.367	0.367	0.0242	0.343	0.988	4.03	0.858	0.659	0.255	0.181	0.522
EC-Earth3_BARPA	[-]	0.490	0.494	0.0323	0.462	0.623	1.71	0.811	0.827	0.778	0.735	0.796
EC-Earth3_CCAM	[-]	0.522	0.524	0.0323	0.491	0.668	1.12	0.800	0.816	0.903	0.675	0.802
EC-Earth3_CMIP6	[-]	0.514	0.514	0.0434	0.471	0.646	2.54	0.807	0.817	0.613	0.297	0.670
ERA5_BARPA	[-]	-0.0327	-0.0303	0.0323	-0.0626	0.166	1.06	0.971	0.934	0.874	0.901	0.923
ERA5_CCAM	[-]	-0.0137	-0.0117	0.0323	-0.0441	0.136	0.482	0.963	0.956	0.959	0.813	0.930
MPI-ESM1-2-HR_BARPA	[-]	0.0542	0.0583	0.0323	0.0259	0.787	4.26	0.980	0.700	0.212	0.954	0.709
NorESM2-MM_BARPA	[-]	-0.996	-0.991	0.0323	-1.02	1.09	2.63	0.628	0.838	0.576	0.416	0.659
NorESM2-MM_CCAM	[-]	-1.29	-1.28	0.0323	-1.32	1.39	2.67	0.550	0.815	0.568	0.386	0.627
NorESM2-MM_CMIP6	[-]	-1.24	-1.24	0.111	-1.35	1.41	3.05	0.538	0.819	0.498	0.0886	0.552

	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	[-]	-0.105
ACCESS-CM2_BARPA	[-]	-0.411	-0.409	-0.105	-0.304	1.06	4.82	0.873	0.635	0.114	0.932	0.638
ACCESS-CM2_CCAM	[-]	-0.463	-0.462	-0.105	-0.357	1.18	4.82	0.853	0.604	0.114	0.911	0.617
ACCESS-CM2_CMIP6	[-]	-0.512	-0.512	-0.0560	-0.456	1.11	4.55	0.813	0.633	0.162	0.602	0.568
ACCESS-ESM1-5_BARPA	[-]	-0.879	-0.876	-0.105	-0.771	1.12	4.33	0.708	0.698	0.199	0.896	0.640
ACCESS-ESM1-5_CCAM	[-]	-0.518	-0.516	-0.105	-0.411	0.988	4.33	0.832	0.669	0.199	0.911	0.656
ACCESS-ESM1-5_CMIP6	[-]	-0.815	-0.815	-0.126	-0.689	1.04	4.08	0.732	0.704	0.244	1.00	0.677
CESM2_BARPA	[-]	-1.23	-1.23	-0.105	-1.12	1.25	1.28	0.606	0.777	0.885	0.774	0.764
CESM2_CCAM	[-]	-1.43	-1.43	-0.105	-1.32	1.48	1.28	0.554	0.744	0.885	0.840	0.753
CMCC-ESM2_BARPA	[-]	-0.838	-0.835	-0.105	-0.729	0.866	5.10	0.721	0.812	0.161	0.902	0.682
CMCC-ESM2_CCAM	[-]	-1.12	-1.12	-0.105	-1.01	1.10	5.26	0.636	0.821	0.132	0.890	0.660
CMCC-ESM2_CMIP6	[-]	-1.10	-1.10	-0.0766	-1.02	1.11	5.02	0.631	0.819	0.173	0.744	0.637
CNRM-ESM2-1_CCAM	[-]	0.197	0.193	-0.105	0.298	0.973	3.25	0.876	0.661	0.431	0.153	0.557
CNRM-ESM2-1_CMIP6	[-]	0.120	0.120	-0.0754	0.196	0.957	1.99	0.915	0.654	0.713	0.233	0.634
EC-Earth3_BARPA	[-]	0.376	0.376	-0.105	0.482	0.649	4.14	0.806	0.824	0.266	0.212	0.587
EC-Earth3_CCAM	[-]	0.301	0.299	-0.105	0.405	0.629	4.09	0.834	0.807	0.277	0.220	0.589
EC-Earth3_CMIP6	[-]	0.406	0.406	-0.101	0.507	0.703	4.82	0.797	0.805	0.113	0.180	0.540
ERA5_BARPA	[-]	-0.189	-0.189	-0.105	-0.0839	0.155	0.934	0.963	0.944	0.900	0.976	0.945
ERA5_CCAM	[-]	-0.231	-0.233	-0.105	-0.128	0.153	0.392	0.943	0.968	0.940	0.942	0.952
MPI-ESM1-2-HR_BARPA	[-]	-0.112	-0.115	-0.105	-0.00995	0.786	4.33	0.979	0.704	0.199	0.956	0.708
NorESM2-MM_BARPA	[-]	-1.08	-1.07	-0.105	-0.969	1.03	2.26	0.648	0.851	0.627	0.818	0.759
NorESM2-MM_CCAM	[-]	-1.43	-1.42	-0.105	-1.32	1.38	2.26	0.554	0.823	0.627	0.862	0.738
NorESM2-MM_CMIP6	[-]	-1.35	-1.35	-0.0766	-1.27	1.34	2.02	0.563	0.829	0.668	0.764	0.731

	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	[-]	1.12
ACCESS-CM2_BARPA	[-]	0.787	0.792	1.12	-0.330	0.646	1.68	0.848	0.759	0.771	0.998	0.827
ACCESS-CM2_CCAM	[-]	0.920	0.919	1.12	-0.203	0.675	3.13	0.905	0.728	0.477	0.855	0.738
ACCESS-CM2_CMIP6	[-]	0.725	0.725	1.26	-0.536	0.751	2.37	0.764	0.768	0.665	0.928	0.778
ACCESS-ESM1-5_BARPA	[-]	0.289	0.295	1.12	-0.827	1.00	2.53	0.661	0.752	0.616	0.936	0.744
ACCESS-ESM1-5_CCAM	[-]	0.606	0.605	1.12	-0.517	0.808	2.53	0.772	0.734	0.616	0.965	0.764
ACCESS-ESM1-5_CMIP6	[-]	0.261	0.261	1.19	-0.927	1.08	2.35	0.628	0.755	0.647	0.925	0.742
CESM2_BARPA	[-]	0.142	0.151	1.12	-0.971	1.13	2.89	0.615	0.753	0.526	0.775	0.684
CESM2_CCAM	[-]	-0.133	-0.132	1.12	-1.25	1.43	2.89	0.535	0.715	0.526	0.328	0.564
CMCC-ESM2_BARPA	[-]	0.364	0.370	1.12	-0.752	0.847	2.18	0.687	0.824	0.685	0.899	0.784
CMCC-ESM2_CCAM	[-]	0.0960	0.0945	1.12	-1.03	1.09	2.76	0.599	0.834	0.555	0.616	0.688
CMCC-ESM2_CMIP6	[-]	0.165	0.165	1.17	-1.01	1.07	2.21	0.604	0.831	0.632	0.734	0.726
CNRM-ESM2-1_CCAM	[-]	1.18	1.18	1.12	0.0560	0.515	2.41	0.962	0.777	0.641	0.957	0.823
CNRM-ESM2-1_CMIP6	[-]	0.943	0.943	1.01	-0.0652	0.589	3.02	0.958	0.749	0.526	0.942	0.785
EC-Earth3_BARPA	[-]	1.49	1.49	1.12	0.370	0.506	0.928	0.831	0.842	0.907	0.999	0.884
EC-Earth3_CCAM	[-]	1.54	1.54	1.12	0.414	0.564	1.19	0.814	0.826	0.845	0.924	0.847
EC-Earth3_CMIP6	[-]	1.58	1.58	1.14	0.432	0.544	1.10	0.806	0.848	0.873	0.985	0.872
ERA5_BARPA	[-]	0.943	0.947	1.12	-0.175	0.218	0.964	0.916	0.938	0.867	0.994	0.931
ERA5_CCAM	[-]	0.981	0.978	1.12	-0.144	0.171	0.622	0.931	0.960	0.930	0.936	0.943
MPI-ESM1-2-HR_BARPA	[-]	1.36	1.36	1.12	0.236	0.701	2.21	0.890	0.725	0.655	0.730	0.745
NorESM2-MM_BARPA	[-]	0.227	0.235	1.12	-0.887	0.987	2.53	0.642	0.808	0.549	0.882	0.738
NorESM2-MM_CCAM	[-]	-0.125	-0.126	1.12	-1.25	1.33	3.59	0.536	0.794	0.388	0.337	0.570
NorESM2-MM_CMIP6	[-]	-0.0468	-0.0468	1.17	-1.22	1.33	4.41	0.542	0.769	0.226	0.445	0.550

	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	[-]	0.619
ACCESS-CM2_BARPA	[-]	0.433	0.438	0.619	-0.182	0.673	3.49	0.914	0.725	0.389	0.913	0.733
ACCESS-CM2_CCAM	[-]	0.387	0.392	0.619	-0.228	0.757	2.13	0.893	0.698	0.723	0.981	0.798
ACCESS-CM2_CMIP6	[-]	0.278	0.278	0.704	-0.426	0.769	4.02	0.806	0.724	0.259	0.598	0.622
ACCESS-ESM1-5_BARPA	[-]	0.000925	0.00772	0.619	-0.612	0.855	5.03	0.738	0.744	0.0717	0.549	0.569
ACCESS-ESM1-5_CCAM	[-]	0.151	0.155	0.619	-0.465	0.815	5.03	0.793	0.716	0.0717	0.880	0.635
ACCESS-ESM1-5_CMIP6	[-]	0.00360	0.00360	0.571	-0.568	0.807	5.03	0.754	0.753	0.0717	0.0695	0.480
CESM2_BARPA	[-]	-0.113	-0.104	0.619	-0.724	0.952	1.66	0.698	0.737	0.817	0.170	0.632
CESM2_CCAM	[-]	-0.527	-0.519	0.619	-1.14	1.31	1.68	0.567	0.726	0.812	0.0208	0.570
CMCC-ESM2_BARPA	[-]	0.0392	0.0453	0.619	-0.574	0.716	2.74	0.751	0.810	0.533	0.722	0.725
CMCC-ESM2_CCAM	[-]	-0.404	-0.398	0.619	-1.02	1.09	2.69	0.601	0.820	0.587	0.0336	0.573
CMCC-ESM2_CMIP6	[-]	-0.440	-0.440	0.556	-0.995	1.09	2.81	0.608	0.805	0.558	0.0407	0.564
CNRM-ESM2-1_CCAM	[-]	0.554	0.555	0.619	-0.0648	0.755	1.61	0.966	0.687	0.813	0.991	0.829
CNRM-ESM2-1_CMIP6	[-]	0.354	0.354	0.480	-0.127	0.789	1.97	0.939	0.680	0.764	1.00	0.813
EC-Earth3_BARPA	[-]	1.14	1.14	0.619	0.524	0.580	1.27	0.770	0.884	0.861	0.834	0.846
EC-Earth3_CCAM	[-]	0.939	0.941	0.619	0.322	0.468	3.05	0.852	0.844	0.498	0.993	0.806
EC-Earth3_CMIP6	[-]	1.01	1.01	0.602	0.409	0.511	3.13	0.815	0.858	0.478	0.997	0.801
ERA5_BARPA	[-]	0.572	0.575	0.619	-0.0448	0.154	0.00	0.976	0.932	1.00	0.919	0.952
ERA5_CCAM	[-]	0.459	0.463	0.619	-0.156	0.178	0.246	0.925	0.960	0.984	0.973	0.960
MPI-ESM1-2-HR_BARPA	[-]	0.592	0.592	0.619	-0.0276	0.637	4.56	0.984	0.728	0.173	0.995	0.721
NorESM2-MM_BARPA	[-]	-0.00626	0.00303	0.619	-0.616	0.692	0.00	0.736	0.857	1.00	0.537	0.797
NorESM2-MM_CCAM	[-]	-0.575	-0.569	0.619	-1.19	1.26	0.00	0.552	0.808	1.00	0.0220	0.638
NorESM2-MM_CMIP6	[-]	-0.527	-0.527	0.556	-1.08	1.17	0.00	0.582	0.805	1.00	0.0300	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	[-]	0.814
ACCESS-CM2_BARPA	[-]	0.903	0.905	0.814	0.0906	0.519	0.492	0.951	0.759	0.928	0.932	0.866
ACCESS-CM2_CCAM	[-]	0.986	0.994	0.814	0.180	0.604	1.28	0.907	0.732	0.883	0.971	0.845
ACCESS-CM2_CMIP6	[-]	0.852	0.852	1.05	-0.199	0.626	0.983	0.899	0.728	0.937	0.994	0.857
ACCESS-ESM1-5_BARPA	[-]	0.742	0.742	0.814	-0.0727	0.626	2.03	0.924	0.719	0.707	0.816	0.777
ACCESS-ESM1-5_CCAM	[-]	0.741	0.747	0.814	-0.0677	0.636	3.33	0.939	0.712	0.408	0.837	0.722
ACCESS-ESM1-5_CMIP6	[-]	0.653	0.653	0.618	0.0349	0.603	2.52	0.937	0.726	0.629	0.528	0.709
CESM2_BARPA	[-]	0.762	0.762	0.814	-0.0526	0.690	1.38	0.945	0.690	0.867	0.926	0.824
CESM2_CCAM	[-]	0.210	0.216	0.814	-0.599	0.846	2.00	0.725	0.727	0.756	0.723	0.732
CMCC-ESM2_BARPA	[-]	0.729	0.729	0.814	-0.0850	0.813	0.983	0.952	0.645	0.937	0.970	0.830
CMCC-ESM2_CCAM	[-]	-0.0596	-0.0547	0.814	-0.869	1.06	1.71	0.622	0.715	0.808	0.515	0.675
CMCC-ESM2_CMIP6	[-]	0.0249	0.0249	0.835	-0.810	1.03	1.27	0.643	0.705	0.885	0.700	0.727
CNRM-ESM2-1_CCAM	[-]	0.668	0.675	0.814	-0.139	0.801	0.983	0.927	0.650	0.937	0.993	0.831
CNRM-ESM2-1_CMIP6	[-]	0.671	0.671	0.797	-0.126	0.795	0.983	0.933	0.650	0.937	0.990	0.832
EC-Earth3_BARPA	[-]	1.63	1.63	0.814	0.820	0.903	2.10	0.639	0.813	0.688	0.953	0.781
EC-Earth3_CCAM	[-]	1.28	1.28	0.814	0.471	0.626	4.03	0.773	0.799	0.255	0.992	0.723
EC-Earth3_CMIP6	[-]	1.18	1.18	0.783	0.400	0.574	4.03	0.804	0.798	0.255	0.984	0.728
ERA5_BARPA	[-]	0.896	0.898	0.814	0.0838	0.249	0.00	0.955	0.880	1.00	1.00	0.943
ERA5_CCAM	[-]	0.808	0.814	0.814	-0.000228	0.102	0.00	0.989	0.947	1.00	0.995	0.976
MPI-ESM1-2-HR_BARPA	[-]	0.782	0.785	0.814	-0.0291	0.564	1.89	0.972	0.736	0.775	0.964	0.837
NorESM2-MM_BARPA	[-]	0.861	0.860	0.814	0.0462	0.459	0.983	0.945	0.785	0.937	0.876	0.865
NorESM2-MM_CCAM	[-]	0.155	0.160	0.814	-0.654	0.898	1.39	0.703	0.717	0.864	0.619	0.724
NorESM2-MM_CMIP6	[-]	0.190	0.190	0.835	-0.645	0.890	1.42	0.708	0.722	0.859	0.484	0.699

	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	[-]	-1.15
ACCESS-CM2_BARPA	[-]	-0.865	-0.869	-1.15	0.283	0.899	1.06	0.869	0.656	0.921	0.944	0.809
ACCESS-CM2_CCAM	[-]	-0.831	-0.831	-1.15	0.321	0.750	1.01	0.853	0.717	0.927	0.755	0.794
ACCESS-CM2_CMIP6	[-]	-1.12	-1.12	-1.16	0.0398	0.867	0.953	0.976	0.650	0.936	0.993	0.841
ACCESS-ESM1-5_BARPA	[-]	-0.603	-0.608	-1.15	0.544	0.893	0.857	0.763	0.708	0.937	0.869	0.797
ACCESS-ESM1-5_CCAM	[-]	-0.778	-0.780	-1.15	0.372	0.763	0.465	0.830	0.718	0.967	0.995	0.846
ACCESS-ESM1-5_CMIP6	[-]	-0.808	-0.808	-1.15	0.347	0.668	0.472	0.841	0.756	0.968	0.902	0.845
CESM2_BARPA	[-]	-0.465	-0.466	-1.15	0.685	0.965	0.702	0.714	0.724	0.953	0.550	0.733
CESM2_CCAM	[-]	-0.553	-0.553	-1.15	0.599	0.783	0.953	0.742	0.779	0.934	0.957	0.838
CMCC-ESM2_BARPA	[-]	-1.22	-1.22	-1.15	-0.0702	0.548	0.193	0.941	0.768	0.980	0.743	0.840
CMCC-ESM2_CCAM	[-]	-1.51	-1.51	-1.15	-0.359	0.584	0.137	0.836	0.797	0.989	0.991	0.882
CMCC-ESM2_CMIP6	[-]	-1.54	-1.54	-1.14	-0.394	0.620	0.117	0.821	0.790	0.992	0.996	0.878
CNRM-ESM2-1_CCAM	[-]	-1.77	-1.77	-1.15	-0.621	0.916	0.895	0.738	0.724	0.867	0.898	0.790
CNRM-ESM2-1_CMIP6	[-]	-1.75	-1.75	-1.14	-0.609	0.907	0.803	0.742	0.724	0.867	0.948	0.801
EC-Earth3_BARPA	[-]	-0.848	-0.858	-1.15	0.294	0.540	0.986	0.864	0.806	0.929	0.982	0.877
EC-Earth3_CCAM	[-]	-1.11	-1.11	-1.15	0.0428	0.463	0.975	0.924	0.808	0.930	0.969	0.888
EC-Earth3_CMIP6	[-]	-1.06	-1.06	-1.15	0.0901	0.447	0.945	0.921	0.816	0.933	0.959	0.889
ERA5_BARPA	[-]	-1.22	-1.23	-1.15	-0.0744	0.254	0.115	0.963	0.889	0.992	0.946	0.936
ERA5_CCAM	[-]	-1.29	-1.29	-1.15	-0.140	0.163	0.282	0.932	0.961	0.979	0.995	0.965
MPI-ESM1-2-HR_BARPA	[-]	-1.43	-1.43	-1.15	-0.282	0.615	0.874	0.869	0.761	0.942	0.987	0.864
NorESM2-MM_BARPA	[-]	-0.394	-0.398	-1.15	0.754	1.14	0.952	0.689	0.659	0.921	0.580	0.701
NorESM2-MM_CCAM	[-]	-0.721	-0.721	-1.15	0.431	0.759	1.02	0.807	0.732	0.912	0.925	0.822
NorESM2-MM_CMIP6	[-]	-0.656	-0.656	-1.14	0.486	0.803	1.45	0.785	0.727	0.844	0.916	0.800

	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	[-]	-0.125
ACCESS-CM2_BARPA	[-]	0.540	0.520	-0.125	0.645	0.801	0.775	0.657	0.731	0.942	0.478	0.708
ACCESS-CM2_CCAM	[-]	2.18	2.16	-0.125	2.29	2.36	0.754	0.221	0.684	0.945	0.282	0.563
ACCESS-CM2_CMIP6	[-]	0.313	0.313	-0.263	0.577	0.750	0.765	0.656	0.702	0.949	0.0224	0.606
ACCESS-ESM1-5_BARPA	[-]	0.128	0.110	-0.125	0.235	0.541	0.358	0.862	0.730	0.976	0.778	0.815
ACCESS-ESM1-5_CCAM	[-]	0.477	0.460	-0.125	0.585	0.748	0.470	0.685	0.739	0.969	0.496	0.726
ACCESS-ESM1-5_CMIP6	[-]	-0.132	-0.132	-0.103	-0.0290	0.449	0.814	0.932	0.755	0.946	0.862	0.850
CESM2_BARPA	[-]	1.16	1.14	-0.125	1.27	1.39	0.333	0.433	0.685	0.978	0.347	0.626
CESM2_CCAM	[-]	0.322	0.306	-0.125	0.431	0.555	0.300	0.761	0.801	0.980	0.574	0.783
CMCC-ESM2_BARPA	[-]	1.15	1.13	-0.125	1.25	1.37	0.669	0.438	0.687	0.955	0.347	0.623
CMCC-ESM2_CCAM	[-]	0.427	0.411	-0.125	0.537	0.663	1.38	0.709	0.781	0.868	0.506	0.729
CMCC-ESM2_CMIP6	[-]	0.377	0.377	-0.138	0.514	0.636	1.24	0.706	0.784	0.893	0.607	0.755
CNRM-ESM2-1_CCAM	[-]	0.648	0.634	-0.125	0.759	0.929	0.706	0.605	0.722	0.927	0.445	0.684
CNRM-ESM2-1_CMIP6	[-]	0.290	0.290	-0.231	0.521	0.643	0.169	0.695	0.768	0.989	0.0657	0.657
EC-Earth3_BARPA	[-]	0.898	0.876	-0.125	1.00	1.08	0.606	0.519	0.768	0.954	0.373	0.677
EC-Earth3_CCAM	[-]	0.302	0.283	-0.125	0.408	0.727	1.21	0.777	0.680	0.873	0.549	0.712
EC-Earth3_CMIP6	[-]	0.186	0.186	-0.126	0.312	0.701	0.732	0.829	0.667	0.915	0.583	0.732
ERA5_BARPA	[-]	0.504	0.488	-0.125	0.613	0.729	0.362	0.665	0.775	0.976	0.487	0.736
ERA5_CCAM	[-]	0.0884	0.0762	-0.125	0.201	0.231	0.115	0.878	0.935	0.992	0.835	0.915
MPI-ESM1-2-HR_BARPA	[-]	1.02	0.999	-0.125	1.12	1.28	0.520	0.479	0.675	0.947	0.339	0.623
NorESM2-MM_BARPA	[-]	0.951	0.937	-0.125	1.06	1.23	2.28	0.495	0.671	0.609	0.380	0.565
NorESM2-MM_CCAM	[-]	-0.0388	-0.0503	-0.125	0.0750	0.493	3.18	0.946	0.727	0.464	0.965	0.766
NorESM2-MM_CMIP6	[-]	-0.0491	-0.0491	-0.138	0.0884	0.464	3.49	0.918	0.741	0.384	0.852	0.727

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 20:29:15 2022: cdo -b F64 cat va500/va500_era5_moda_pl_19590101-19590131.nc va500/va500_era5_moda_pl_19590201-19590228.nc va500/va500_era5_moda_pl_19590301-19590331.nc va500/va500_era5_moda_pl_19590401-19590430.nc va500/va500_era5_moda_pl_19590501-19590531.nc va500/va500_era5_moda_pl_19590601-19590630.nc va500/va500_era5_moda_pl_19590701-19590731.nc va500/va500_era5_moda_pl_19590801-19590831.nc va500/va500_era5_moda_pl_19590901-19590930.nc va500/va500_era5_moda_pl_19591001-19591031.nc va500/va500_era5_moda_pl_19591101-19591130.nc va500/va500_era5_moda_pl_19591201-19591231.nc va500/va500_era5_moda_pl_19600101-19600131.nc va500/va500_era5_moda_pl_19600201-19600229.nc va500/va500_era5_moda_pl_19600301-19600331.nc va500/va500_era5_moda_pl_19600401-19600430.nc va500/va500_era5_moda_pl_19600501-19600531.nc va500/va500_era5_moda_pl_19600601-19600630.nc va500/va500_era5_moda_pl_19600701-19600731.nc va500/va500_era5_moda_pl_19600801-19600831.nc va500/va500_era5_moda_pl_19600901-19600930.nc va500/va500_era5_moda_pl_19601001-19601031.nc va500/va500_era5_moda_pl_19601101-19601130.nc va500/va500_era5_moda_pl_19601201-19601231.nc va500/va500_era5_moda_pl_19610101-19610131.nc va500/va500_era5_moda_pl_19610201-19610228.nc va500/va500_era5_moda_pl_19610301-19610331.nc va500/va500_era5_moda_pl_19610401-19610430.nc va500/va500_era5_moda_pl_19610501-19610531.nc va500/va500_era5_moda_pl_19610601-19610630.nc va500/va500_era5_moda_pl_19610701-19610731.nc va500/va500_era5_moda_pl_19610801-19610831.nc va500/va500_era5_moda_pl_19610901-19610930.nc va500/va500_era5_moda_pl_19611001-19611031.nc va500/va500_era5_moda_pl_19611101-19611130.nc va500/va500_era5_moda_pl_19611201-19611231.nc va500/va500_era5_moda_pl_19620101-19620131.nc va500/va500_era5_moda_pl_19620201-19620228.nc va500/va500_era5_moda_pl_19620301-19620331.nc va500/va500_era5_moda_pl_19620401-19620430.nc va500/va500_era5_moda_pl_19620501-19620531.nc va500/va500_era5_moda_pl_19620601-19620630.nc va500/va500_era5_moda_pl_19620701-19620731.nc va500/va500_era5_moda_pl_19620801-19620831.nc va500/va500_era5_moda_pl_19620901-19620930.nc va500/va500_era5_moda_pl_19621001-19621031.nc va500/va500_era5_moda_pl_19621101-19621130.nc va500/va500_era5_moda_pl_19621201-19621231.nc va500/va500_era5_moda_pl_19630101-19630131.nc va500/va500_era5_moda_pl_19630201-19630228.nc va500/va500_era5_moda_pl_19630301-19630331.nc va500/va500_era5_moda_pl_19630401-19630430.nc va500/va500_era5_moda_pl_19630501-19630531.nc va500/va500_era5_moda_pl_19630601-19630630.nc va500/va500_era5_moda_pl_19630701-19630731.nc va500/va500_era5_moda_pl_19630801-19630831.nc va500/va500_era5_moda_pl_19630901-19630930.nc va500/va500_era5_moda_pl_19631001-19631031.nc va500/va500_era5_moda_pl_19631101-19631130.nc va500/va500_era5_moda_pl_19631201-19631231.nc va500/va500_era5_moda_pl_19640101-19640131.nc va500/va500_era5_moda_pl_19640201-19640229.nc va500/va500_era5_moda_pl_19640301-19640331.nc va500/va500_era5_moda_pl_19640401-19640430.nc va500/va500_era5_moda_pl_19640501-19640531.nc va500/va500_era5_moda_pl_19640601-19640630.nc va500/va500_era5_moda_pl_19640701-19640731.nc va500/va500_era5_moda_pl_19640801-19640831.nc va500/va500_era5_moda_pl_19640901-19640930.nc va500/va500_era5_moda_pl_19641001-19641031.nc va500/va500_era5_moda_pl_19641101-19641130.nc va500/va500_era5_moda_pl_19641201-19641231.nc va500/va500_era5_moda_pl_19650101-19650131.nc va500/va500_era5_moda_pl_19650201-19650228.nc va500/va500_era5_moda_pl_19650301-19650331.nc va500/va500_era5_moda_pl_19650401-19650430.nc va500/va500_era5_moda_pl_19650501-19650531.nc va500/va500_era5_moda_pl_19650601-19650630.nc va500/va500_era5_moda_pl_19650701-19650731.nc va500/va500_era5_moda_pl_19650801-19650831.nc va500/va500_era5_moda_pl_19650901-19650930.nc va500/va500_era5_moda_pl_19651001-19651031.nc va500/va500_era5_moda_pl_19651101-19651130.nc va500/va500_era5_moda_pl_19651201-19651231.nc va500/va500_era5_moda_pl_19660101-19660131.nc va500/va500_era5_moda_pl_19660201-19660228.nc va500/va500_era5_moda_pl_19660301-19660331.nc va500/va500_era5_moda_pl_19660401-19660430.nc va500/va500_era5_moda_pl_19660501-19660531.nc va500/va500_era5_moda_pl_19660601-19660630.nc va500/va500_era5_moda_pl_19660701-19660731.nc va500/va500_era5_moda_pl_19660801-19660831.nc va500/va500_era5_moda_pl_19660901-19660930.nc va500/va500_era5_moda_pl_19661001-19661031.nc va500/va500_era5_moda_pl_19661101-19661130.nc va500/va500_era5_moda_pl_19661201-19661231.nc va500/va500_era5_moda_pl_19670101-19670131.nc va500/va500_era5_moda_pl_19670201-19670228.nc va500/va500_era5_moda_pl_19670301-19670331.nc va500/va500_era5_moda_pl_19670401-19670430.nc va500/va500_era5_moda_pl_19670501-19670531.nc va500/va500_era5_moda_pl_19670601-19670630.nc va500/va500_era5_moda_pl_19670701-19670731.nc va500/va500_era5_moda_pl_19670801-19670831.nc va500/va500_era5_moda_pl_19670901-19670930.nc va500/va500_era5_moda_pl_19671001-19671031.nc va500/va500_era5_moda_pl_19671101-19671130.nc va500/va500_era5_moda_pl_19671201-19671231.nc va500/va500_era5_moda_pl_19680101-19680131.nc va500/va500_era5_moda_pl_19680201-19680229.nc va500/va500_era5_moda_pl_19680301-19680331.nc va500/va500_era5_moda_pl_19680401-19680430.nc va500/va500_era5_moda_pl_19680501-19680531.nc va500/va500_era5_moda_pl_19680601-19680630.nc va500/va500_era5_moda_pl_19680701-19680731.nc va500/va500_era5_moda_pl_19680801-19680831.nc va500/va500_era5_moda_pl_19680901-19680930.nc va500/va500_era5_moda_pl_19681001-19681031.nc va500/va500_era5_moda_pl_19681101-19681130.nc va500/va500_era5_moda_pl_19681201-19681231.nc va500/va500_era5_moda_pl_19690101-19690131.nc va500/va500_era5_moda_pl_19690201-19690228.nc va500/va500_era5_moda_pl_19690301-19690331.nc va500/va500_era5_moda_pl_19690401-19690430.nc va500/va500_era5_moda_pl_19690501-19690531.nc va500/va500_era5_moda_pl_19690601-19690630.nc va500/va500_era5_moda_pl_19690701-19690731.nc va500/va500_era5_moda_pl_19690801-19690831.nc va500/va500_era5_moda_pl_19690901-19690930.nc va500/va500_era5_moda_pl_19691001-19691031.nc va500/va500_era5_moda_pl_19691101-19691130.nc va500/va500_era5_moda_pl_19691201-19691231.nc va500/va500_era5_moda_pl_19700101-19700131.nc va500/va500_era5_moda_pl_19700201-19700228.nc va500/va500_era5_moda_pl_19700301-19700331.nc va500/va500_era5_moda_pl_19700401-19700430.nc va500/va500_era5_moda_pl_19700501-19700531.nc va500/va500_era5_moda_pl_19700601-19700630.nc va500/va500_era5_moda_pl_19700701-19700731.nc va500/va500_era5_moda_pl_19700801-19700831.nc va500/va500_era5_moda_pl_19700901-19700930.nc va500/va500_era5_moda_pl_19701001-19701031.nc va500/va500_era5_moda_pl_19701101-19701130.nc va500/va500_era5_moda_pl_19701201-19701231.nc va500/va500_era5_moda_pl_19710101-19710131.nc va500/va500_era5_moda_pl_19710201-19710228.nc va500/va500_era5_moda_pl_19710301-19710331.nc va500/va500_era5_moda_pl_19710401-19710430.nc va500/va500_era5_moda_pl_19710501-19710531.nc va500/va500_era5_moda_pl_19710601-19710630.nc va500/va500_era5_moda_pl_19710701-19710731.nc va500/va500_era5_moda_pl_19710801-19710831.nc va500/va500_era5_moda_pl_19710901-19710930.nc va500/va500_era5_moda_pl_19711001-19711031.nc va500/va500_era5_moda_pl_19711101-19711130.nc va500/va500_era5_moda_pl_19711201-19711231.nc va500/va500_era5_moda_pl_19720101-19720131.nc va500/va500_era5_moda_pl_19720201-19720229.nc va500/va500_era5_moda_pl_19720301-19720331.nc va500/va500_era5_moda_pl_19720401-19720430.nc va500/va500_era5_moda_pl_19720501-19720531.nc va500/va500_era5_moda_pl_19720601-19720630.nc va500/va500_era5_moda_pl_19720701-19720731.nc va500/va500_era5_moda_pl_19720801-19720831.nc va500/va500_era5_moda_pl_19720901-19720930.nc va500/va500_era5_moda_pl_19721001-19721031.nc va500/va500_era5_moda_pl_19721101-19721130.nc va500/va500_era5_moda_pl_19721201-19721231.nc va500/va500_era5_moda_pl_19730101-19730131.nc va500/va500_era5_moda_pl_19730201-19730228.nc va500/va500_era5_moda_pl_19730301-19730331.nc va500/va500_era5_moda_pl_19730401-19730430.nc va500/va500_era5_moda_pl_19730501-19730531.nc va500/va500_era5_moda_pl_19730601-19730630.nc va500/va500_era5_moda_pl_19730701-19730731.nc va500/va500_era5_moda_pl_19730801-19730831.nc va500/va500_era5_moda_pl_19730901-19730930.nc va500/va500_era5_moda_pl_19731001-19731031.nc va500/va500_era5_moda_pl_19731101-19731130.nc va500/va500_era5_moda_pl_19731201-19731231.nc va500/va500_era5_moda_pl_19740101-19740131.nc va500/va500_era5_moda_pl_19740201-19740228.nc va500/va500_era5_moda_pl_19740301-19740331.nc va500/va500_era5_moda_pl_19740401-19740430.nc va500/va500_era5_moda_pl_19740501-19740531.nc va500/va500_era5_moda_pl_19740601-19740630.nc va500/va500_era5_moda_pl_19740701-19740731.nc va500/va500_era5_moda_pl_19740801-19740831.nc va500/va500_era5_moda_pl_19740901-19740930.nc va500/va500_era5_moda_pl_19741001-19741031.nc va500/va500_era5_moda_pl_19741101-19741130.nc va500/va500_era5_moda_pl_19741201-19741231.nc va500/va500_era5_moda_pl_19750101-19750131.nc va500/va500_era5_moda_pl_19750201-19750228.nc va500/va500_era5_moda_pl_19750301-19750331.nc va500/va500_era5_moda_pl_19750401-19750430.nc va500/va500_era5_moda_pl_19750501-19750531.nc va500/va500_era5_moda_pl_19750601-19750630.nc va500/va500_era5_moda_pl_19750701-19750731.nc va500/va500_era5_moda_pl_19750801-19750831.nc va500/va500_era5_moda_pl_19750901-19750930.nc va500/va500_era5_moda_pl_19751001-19751031.nc va500/va500_era5_moda_pl_19751101-19751130.nc va500/va500_era5_moda_pl_19751201-19751231.nc va500/va500_era5_moda_pl_19760101-19760131.nc va500/va500_era5_moda_pl_19760201-19760229.nc va500/va500_era5_moda_pl_19760301-19760331.nc va500/va500_era5_moda_pl_19760401-19760430.nc va500/va500_era5_moda_pl_19760501-19760531.nc va500/va500_era5_moda_pl_19760601-19760630.nc va500/va500_era5_moda_pl_19760701-19760731.nc va500/va500_era5_moda_pl_19760801-19760831.nc va500/va500_era5_moda_pl_19760901-19760930.nc va500/va500_era5_moda_pl_19761001-19761031.nc va500/va500_era5_moda_pl_19761101-19761130.nc va500/va500_era5_moda_pl_19761201-19761231.nc va500/va500_era5_moda_pl_19770101-19770131.nc va500/va500_era5_moda_pl_19770201-19770228.nc va500/va500_era5_moda_pl_19770301-19770331.nc va500/va500_era5_moda_pl_19770401-19770430.nc va500/va500_era5_moda_pl_19770501-19770531.nc va500/va500_era5_moda_pl_19770601-19770630.nc va500/va500_era5_moda_pl_19770701-19770731.nc va500/va500_era5_moda_pl_19770801-19770831.nc va500/va500_era5_moda_pl_19770901-19770930.nc va500/va500_era5_moda_pl_19771001-19771031.nc va500/va500_era5_moda_pl_19771101-19771130.nc va500/va500_era5_moda_pl_19771201-19771231.nc va500/va500_era5_moda_pl_19780101-19780131.nc va500/va500_era5_moda_pl_19780201-19780228.nc va500/va500_era5_moda_pl_19780301-19780331.nc va500/va500_era5_moda_pl_19780401-19780430.nc va500/va500_era5_moda_pl_19780501-19780531.nc va500/va500_era5_moda_pl_19780601-19780630.nc va500/va500_era5_moda_pl_19780701-19780731.nc va500/va500_era5_moda_pl_19780801-19780831.nc va500/va500_era5_moda_pl_19780901-19780930.nc va500/va500_era5_moda_pl_19781001-19781031.nc va500/va500_era5_moda_pl_19781101-19781130.nc va500/va500_era5_moda_pl_19781201-19781231.nc va500/va500_era5_moda_pl_19790101-19790131.nc va500/va500_era5_moda_pl_19790201-19790228.nc va500/va500_era5_moda_pl_19790301-19790331.nc va500/va500_era5_moda_pl_19790401-19790430.nc va500/va500_era5_moda_pl_19790501-19790531.nc va500/va500_era5_moda_pl_19790601-19790630.nc va500/va500_era5_moda_pl_19790701-19790731.nc va500/va500_era5_moda_pl_19790801-19790831.nc va500/va500_era5_moda_pl_19790901-19790930.nc va500/va500_era5_moda_pl_19791001-19791031.nc va500/va500_era5_moda_pl_19791101-19791130.nc va500/va500_era5_moda_pl_19791201-19791231.nc va500/va500_era5_moda_pl_19800101-19800131.nc va500/va500_era5_moda_pl_19800201-19800229.nc va500/va500_era5_moda_pl_19800301-19800331.nc va500/va500_era5_moda_pl_19800401-19800430.nc va500/va500_era5_moda_pl_19800501-19800531.nc va500/va500_era5_moda_pl_19800601-19800630.nc va500/va500_era5_moda_pl_19800701-19800731.nc va500/va500_era5_moda_pl_19800801-19800831.nc va500/va500_era5_moda_pl_19800901-19800930.nc va500/va500_era5_moda_pl_19801001-19801031.nc va500/va500_era5_moda_pl_19801101-19801130.nc va500/va500_era5_moda_pl_19801201-19801231.nc va500/va500_era5_moda_pl_19810101-19810131.nc va500/va500_era5_moda_pl_19810201-19810228.nc va500/va500_era5_moda_pl_19810301-19810331.nc va500/va500_era5_moda_pl_19810401-19810430.nc va500/va500_era5_moda_pl_19810501-19810531.nc va500/va500_era5_moda_pl_19810601-19810630.nc va500/va500_era5_moda_pl_19810701-19810731.nc va500/va500_era5_moda_pl_19810801-19810831.nc va500/va500_era5_moda_pl_19810901-19810930.nc va500/va500_era5_moda_pl_19811001-19811031.nc va500/va500_era5_moda_pl_19811101-19811130.nc va500/va500_era5_moda_pl_19811201-19811231.nc va500/va500_era5_moda_pl_19820101-19820131.nc va500/va500_era5_moda_pl_19820201-19820228.nc va500/va500_era5_moda_pl_19820301-19820331.nc va500/va500_era5_moda_pl_19820401-19820430.nc va500/va500_era5_moda_pl_19820501-19820531.nc va500/va500_era5_moda_pl_19820601-19820630.nc va500/va500_era5_moda_pl_19820701-19820731.nc va500/va500_era5_moda_pl_19820801-19820831.nc va500/va500_era5_moda_pl_19820901-19820930.nc va500/va500_era5_moda_pl_19821001-19821031.nc va500/va500_era5_moda_pl_19821101-19821130.nc va500/va500_era5_moda_pl_19821201-19821231.nc va500/va500_era5_moda_pl_19830101-19830131.nc va500/va500_era5_moda_pl_19830201-19830228.nc va500/va500_era5_moda_pl_19830301-19830331.nc va500/va500_era5_moda_pl_19830401-19830430.nc va500/va500_era5_moda_pl_19830501-19830531.nc va500/va500_era5_moda_pl_19830601-19830630.nc va500/va500_era5_moda_pl_19830701-19830731.nc va500/va500_era5_moda_pl_19830801-19830831.nc va500/va500_era5_moda_pl_19830901-19830930.nc va500/va500_era5_moda_pl_19831001-19831031.nc va500/va500_era5_moda_pl_19831101-19831130.nc va500/va500_era5_moda_pl_19831201-19831231.nc va500/va500_era5_moda_pl_19840101-19840131.nc va500/va500_era5_moda_pl_19840201-19840229.nc va500/va500_era5_moda_pl_19840301-19840331.nc va500/va500_era5_moda_pl_19840401-19840430.nc va500/va500_era5_moda_pl_19840501-19840531.nc va500/va500_era5_moda_pl_19840601-19840630.nc va500/va500_era5_moda_pl_19840701-19840731.nc va500/va500_era5_moda_pl_19840801-19840831.nc va500/va500_era5_moda_pl_19840901-19840930.nc va500/va500_era5_moda_pl_19841001-19841031.nc va500/va500_era5_moda_pl_19841101-19841130.nc va500/va500_era5_moda_pl_19841201-19841231.nc va500/va500_era5_moda_pl_19850101-19850131.nc va500/va500_era5_moda_pl_19850201-19850228.nc va500/va500_era5_moda_pl_19850301-19850331.nc va500/va500_era5_moda_pl_19850401-19850430.nc va500/va500_era5_moda_pl_19850501-19850531.nc va500/va500_era5_moda_pl_19850601-19850630.nc va500/va500_era5_moda_pl_19850701-19850731.nc va500/va500_era5_moda_pl_19850801-19850831.nc va500/va500_era5_moda_pl_19850901-19850930.nc va500/va500_era5_moda_pl_19851001-19851031.nc va500/va500_era5_moda_pl_19851101-19851130.nc va500/va500_era5_moda_pl_19851201-19851231.nc va500/va500_era5_moda_pl_19860101-19860131.nc va500/va500_era5_moda_pl_19860201-19860228.nc va500/va500_era5_moda_pl_19860301-19860331.nc va500/va500_era5_moda_pl_19860401-19860430.nc va500/va500_era5_moda_pl_19860501-19860531.nc va500/va500_era5_moda_pl_19860601-19860630.nc va500/va500_era5_moda_pl_19860701-19860731.nc va500/va500_era5_moda_pl_19860801-19860831.nc va500/va500_era5_moda_pl_19860901-19860930.nc va500/va500_era5_moda_pl_19861001-19861031.nc va500/va500_era5_moda_pl_19861101-19861130.nc va500/va500_era5_moda_pl_19861201-19861231.nc va500/va500_era5_moda_pl_19870101-19870131.nc va500/va500_era5_moda_pl_19870201-19870228.nc va500/va500_era5_moda_pl_19870301-19870331.nc va500/va500_era5_moda_pl_19870401-19870430.nc va500/va500_era5_moda_pl_19870501-19870531.nc va500/va500_era5_moda_pl_19870601-19870630.nc va500/va500_era5_moda_pl_19870701-19870731.nc va500/va500_era5_moda_pl_19870801-19870831.nc va500/va500_era5_moda_pl_19870901-19870930.nc va500/va500_era5_moda_pl_19871001-19871031.nc va500/va500_era5_moda_pl_19871101-19871130.nc va500/va500_era5_moda_pl_19871201-19871231.nc va500/va500_era5_moda_pl_19880101-19880131.nc va500/va500_era5_moda_pl_19880201-19880229.nc va500/va500_era5_moda_pl_19880301-19880331.nc va500/va500_era5_moda_pl_19880401-19880430.nc va500/va500_era5_moda_pl_19880501-19880531.nc va500/va500_era5_moda_pl_19880601-19880630.nc va500/va500_era5_moda_pl_19880701-19880731.nc va500/va500_era5_moda_pl_19880801-19880831.nc va500/va500_era5_moda_pl_19880901-19880930.nc va500/va500_era5_moda_pl_19881001-19881031.nc va500/va500_era5_moda_pl_19881101-19881130.nc va500/va500_era5_moda_pl_19881201-19881231.nc va500/va500_era5_moda_pl_19890101-19890131.nc va500/va500_era5_moda_pl_19890201-19890228.nc va500/va500_era5_moda_pl_19890301-19890331.nc va500/va500_era5_moda_pl_19890401-19890430.nc va500/va500_era5_moda_pl_19890501-19890531.nc va500/va500_era5_moda_pl_19890601-19890630.nc va500/va500_era5_moda_pl_19890701-19890731.nc va500/va500_era5_moda_pl_19890801-19890831.nc va500/va500_era5_moda_pl_19890901-19890930.nc va500/va500_era5_moda_pl_19891001-19891031.nc va500/va500_era5_moda_pl_19891101-19891130.nc va500/va500_era5_moda_pl_19891201-19891231.nc va500/va500_era5_moda_pl_19900101-19900131.nc va500/va500_era5_moda_pl_19900201-19900228.nc va500/va500_era5_moda_pl_19900301-19900331.nc va500/va500_era5_moda_pl_19900401-19900430.nc va500/va500_era5_moda_pl_19900501-19900531.nc va500/va500_era5_moda_pl_19900601-19900630.nc va500/va500_era5_moda_pl_19900701-19900731.nc va500/va500_era5_moda_pl_19900801-19900831.nc va500/va500_era5_moda_pl_19900901-19900930.nc va500/va500_era5_moda_pl_19901001-19901031.nc va500/va500_era5_moda_pl_19901101-19901130.nc va500/va500_era5_moda_pl_19901201-19901231.nc va500/va500_era5_moda_pl_19910101-19910131.nc va500/va500_era5_moda_pl_19910201-19910228.nc va500/va500_era5_moda_pl_19910301-19910331.nc va500/va500_era5_moda_pl_19910401-19910430.nc va500/va500_era5_moda_pl_19910501-19910531.nc va500/va500_era5_moda_pl_19910601-19910630.nc va500/va500_era5_moda_pl_19910701-19910731.nc va500/va500_era5_moda_pl_19910801-19910831.nc va500/va500_era5_moda_pl_19910901-19910930.nc va500/va500_era5_moda_pl_19911001-19911031.nc va500/va500_era5_moda_pl_19911101-19911130.nc va500/va500_era5_moda_pl_19911201-19911231.nc va500/va500_era5_moda_pl_19920101-19920131.nc va500/va500_era5_moda_pl_19920201-19920229.nc va500/va500_era5_moda_pl_19920301-19920331.nc va500/va500_era5_moda_pl_19920401-19920430.nc va500/va500_era5_moda_pl_19920501-19920531.nc va500/va500_era5_moda_pl_19920601-19920630.nc va500/va500_era5_moda_pl_19920701-19920731.nc va500/va500_era5_moda_pl_19920801-19920831.nc va500/va500_era5_moda_pl_19920901-19920930.nc va500/va500_era5_moda_pl_19921001-19921031.nc va500/va500_era5_moda_pl_19921101-19921130.nc va500/va500_era5_moda_pl_19921201-19921231.nc va500/va500_era5_moda_pl_19930101-19930131.nc va500/va500_era5_moda_pl_19930201-19930228.nc va500/va500_era5_moda_pl_19930301-19930331.nc va500/va500_era5_moda_pl_19930401-19930430.nc va500/va500_era5_moda_pl_19930501-19930531.nc va500/va500_era5_moda_pl_19930601-19930630.nc va500/va500_era5_moda_pl_19930701-19930731.nc va500/va500_era5_moda_pl_19930801-19930831.nc va500/va500_era5_moda_pl_19930901-19930930.nc va500/va500_era5_moda_pl_19931001-19931031.nc va500/va500_era5_moda_pl_19931101-19931130.nc va500/va500_era5_moda_pl_19931201-19931231.nc va500/va500_era5_moda_pl_19940101-19940131.nc va500/va500_era5_moda_pl_19940201-19940228.nc va500/va500_era5_moda_pl_19940301-19940331.nc va500/va500_era5_moda_pl_19940401-19940430.nc va500/va500_era5_moda_pl_19940501-19940531.nc va500/va500_era5_moda_pl_19940601-19940630.nc va500/va500_era5_moda_pl_19940701-19940731.nc va500/va500_era5_moda_pl_19940801-19940831.nc va500/va500_era5_moda_pl_19940901-19940930.nc va500/va500_era5_moda_pl_19941001-19941031.nc va500/va500_era5_moda_pl_19941101-19941130.nc va500/va500_era5_moda_pl_19941201-19941231.nc va500/va500_era5_moda_pl_19950101-19950131.nc va500/va500_era5_moda_pl_19950201-19950228.nc va500/va500_era5_moda_pl_19950301-19950331.nc va500/va500_era5_moda_pl_19950401-19950430.nc va500/va500_era5_moda_pl_19950501-19950531.nc va500/va500_era5_moda_pl_19950601-19950630.nc va500/va500_era5_moda_pl_19950701-19950731.nc va500/va500_era5_moda_pl_19950801-19950831.nc va500/va500_era5_moda_pl_19950901-19950930.nc va500/va500_era5_moda_pl_19951001-19951031.nc va500/va500_era5_moda_pl_19951101-19951130.nc va500/va500_era5_moda_pl_19951201-19951231.nc va500/va500_era5_moda_pl_19960101-19960131.nc va500/va500_era5_moda_pl_19960201-19960229.nc va500/va500_era5_moda_pl_19960301-19960331.nc va500/va500_era5_moda_pl_19960401-19960430.nc va500/va500_era5_moda_pl_19960501-19960531.nc va500/va500_era5_moda_pl_19960601-19960630.nc va500/va500_era5_moda_pl_19960701-19960731.nc va500/va500_era5_moda_pl_19960801-19960831.nc va500/va500_era5_moda_pl_19960901-19960930.nc va500/va500_era5_moda_pl_19961001-19961031.nc va500/va500_era5_moda_pl_19961101-19961130.nc va500/va500_era5_moda_pl_19961201-19961231.nc va500/va500_era5_moda_pl_19970101-19970131.nc va500/va500_era5_moda_pl_19970201-19970228.nc va500/va500_era5_moda_pl_19970301-19970331.nc va500/va500_era5_moda_pl_19970401-19970430.nc va500/va500_era5_moda_pl_19970501-19970531.nc va500/va500_era5_moda_pl_19970601-19970630.nc va500/va500_era5_moda_pl_19970701-19970731.nc va500/va500_era5_moda_pl_19970801-19970831.nc va500/va500_era5_moda_pl_19970901-19970930.nc va500/va500_era5_moda_pl_19971001-19971031.nc va500/va500_era5_moda_pl_19971101-19971130.nc va500/va500_era5_moda_pl_19971201-19971231.nc va500/va500_era5_moda_pl_19980101-19980131.nc va500/va500_era5_moda_pl_19980201-19980228.nc va500/va500_era5_moda_pl_19980301-19980331.nc va500/va500_era5_moda_pl_19980401-19980430.nc va500/va500_era5_moda_pl_19980501-19980531.nc va500/va500_era5_moda_pl_19980601-19980630.nc va500/va500_era5_moda_pl_19980701-19980731.nc va500/va500_era5_moda_pl_19980801-19980831.nc va500/va500_era5_moda_pl_19980901-19980930.nc va500/va500_era5_moda_pl_19981001-19981031.nc va500/va500_era5_moda_pl_19981101-19981130.nc va500/va500_era5_moda_pl_19981201-19981231.nc va500/va500_era5_moda_pl_19990101-19990131.nc va500/va500_era5_moda_pl_19990201-19990228.nc va500/va500_era5_moda_pl_19990301-19990331.nc va500/va500_era5_moda_pl_19990401-19990430.nc va500/va500_era5_moda_pl_19990501-19990531.nc va500/va500_era5_moda_pl_19990601-19990630.nc va500/va500_era5_moda_pl_19990701-19990731.nc va500/va500_era5_moda_pl_19990801-19990831.nc va500/va500_era5_moda_pl_19990901-19990930.nc va500/va500_era5_moda_pl_19991001-19991031.nc va500/va500_era5_moda_pl_19991101-19991130.nc va500/va500_era5_moda_pl_19991201-19991231.nc va500/va500_era5_moda_pl_20000101-20000131.nc va500/va500_era5_moda_pl_20000201-20000229.nc va500/va500_era5_moda_pl_20000301-20000331.nc va500/va500_era5_moda_pl_20000401-20000430.nc va500/va500_era5_moda_pl_20000501-20000531.nc va500/va500_era5_moda_pl_20000601-20000630.nc va500/va500_era5_moda_pl_20000701-20000731.nc va500/va500_era5_moda_pl_20000801-20000831.nc va500/va500_era5_moda_pl_20000901-20000930.nc va500/va500_era5_moda_pl_20001001-20001031.nc va500/va500_era5_moda_pl_20001101-20001130.nc va500/va500_era5_moda_pl_20001201-20001231.nc va500/va500_era5_moda_pl_20010101-20010131.nc va500/va500_era5_moda_pl_20010201-20010228.nc va500/va500_era5_moda_pl_20010301-20010331.nc va500/va500_era5_moda_pl_20010401-20010430.nc va500/va500_era5_moda_pl_20010501-20010531.nc va500/va500_era5_moda_pl_20010601-20010630.nc va500/va500_era5_moda_pl_20010701-20010731.nc va500/va500_era5_moda_pl_20010801-20010831.nc va500/va500_era5_moda_pl_20010901-20010930.nc va500/va500_era5_moda_pl_20011001-20011031.nc va500/va500_era5_moda_pl_20011101-20011130.nc va500/va500_era5_moda_pl_20011201-20011231.nc va500/va500_era5_moda_pl_20020101-20020131.nc va500/va500_era5_moda_pl_20020201-20020228.nc va500/va500_era5_moda_pl_20020301-20020331.nc va500/va500_era5_moda_pl_20020401-20020430.nc va500/va500_era5_moda_pl_20020501-20020531.nc va500/va500_era5_moda_pl_20020601-20020630.nc va500/va500_era5_moda_pl_20020701-20020731.nc va500/va500_era5_moda_pl_20020801-20020831.nc va500/va500_era5_moda_pl_20020901-20020930.nc va500/va500_era5_moda_pl_20021001-20021031.nc va500/va500_era5_moda_pl_20021101-20021130.nc va500/va500_era5_moda_pl_20021201-20021231.nc va500/va500_era5_moda_pl_20030101-20030131.nc va500/va500_era5_moda_pl_20030201-20030228.nc va500/va500_era5_moda_pl_20030301-20030331.nc va500/va500_era5_moda_pl_20030401-20030430.nc va500/va500_era5_moda_pl_20030501-20030531.nc va500/va500_era5_moda_pl_20030601-20030630.nc va500/va500_era5_moda_pl_20030701-20030731.nc va500/va500_era5_moda_pl_20030801-20030831.nc va500/va500_era5_moda_pl_20030901-20030930.nc va500/va500_era5_moda_pl_20031001-20031031.nc va500/va500_era5_moda_pl_20031101-20031130.nc va500/va500_era5_moda_pl_20031201-20031231.nc va500/va500_era5_moda_pl_20040101-20040131.nc va500/va500_era5_moda_pl_20040201-20040229.nc va500/va500_era5_moda_pl_20040301-20040331.nc va500/va500_era5_moda_pl_20040401-20040430.nc va500/va500_era5_moda_pl_20040501-20040531.nc va500/va500_era5_moda_pl_20040601-20040630.nc va500/va500_era5_moda_pl_20040701-20040731.nc va500/va500_era5_moda_pl_20040801-20040831.nc va500/va500_era5_moda_pl_20040901-20040930.nc va500/va500_era5_moda_pl_20041001-20041031.nc va500/va500_era5_moda_pl_20041101-20041130.nc va500/va500_era5_moda_pl_20041201-20041231.nc va500/va500_era5_moda_pl_20050101-20050131.nc va500/va500_era5_moda_pl_20050201-20050228.nc va500/va500_era5_moda_pl_20050301-20050331.nc va500/va500_era5_moda_pl_20050401-20050430.nc va500/va500_era5_moda_pl_20050501-20050531.nc va500/va500_era5_moda_pl_20050601-20050630.nc va500/va500_era5_moda_pl_20050701-20050731.nc va500/va500_era5_moda_pl_20050801-20050831.nc va500/va500_era5_moda_pl_20050901-20050930.nc va500/va500_era5_moda_pl_20051001-20051031.nc va500/va500_era5_moda_pl_20051101-20051130.nc va500/va500_era5_moda_pl_20051201-20051231.nc va500/va500_era5_moda_pl_20060101-20060131.nc va500/va500_era5_moda_pl_20060201-20060228.nc va500/va500_era5_moda_pl_20060301-20060331.nc va500/va500_era5_moda_pl_20060401-20060430.nc va500/va500_era5_moda_pl_20060501-20060531.nc va500/va500_era5_moda_pl_20060601-20060630.nc va500/va500_era5_moda_pl_20060701-20060731.nc va500/va500_era5_moda_pl_20060801-20060831.nc va500/va500_era5_moda_pl_20060901-20060930.nc va500/va500_era5_moda_pl_20061001-20061031.nc va500/va500_era5_moda_pl_20061101-20061130.nc va500/va500_era5_moda_pl_20061201-20061231.nc va500/va500_era5_moda_pl_20070101-20070131.nc va500/va500_era5_moda_pl_20070201-20070228.nc va500/va500_era5_moda_pl_20070301-20070331.nc va500/va500_era5_moda_pl_20070401-20070430.nc va500/va500_era5_moda_pl_20070501-20070531.nc va500/va500_era5_moda_pl_20070601-20070630.nc va500/va500_era5_moda_pl_20070701-20070731.nc va500/va500_era5_moda_pl_20070801-20070831.nc va500/va500_era5_moda_pl_20070901-20070930.nc va500/va500_era5_moda_pl_20071001-20071031.nc va500/va500_era5_moda_pl_20071101-20071130.nc va500/va500_era5_moda_pl_20071201-20071231.nc va500/va500_era5_moda_pl_20080101-20080131.nc va500/va500_era5_moda_pl_20080201-20080229.nc va500/va500_era5_moda_pl_20080301-20080331.nc va500/va500_era5_moda_pl_20080401-20080430.nc va500/va500_era5_moda_pl_20080501-20080531.nc va500/va500_era5_moda_pl_20080601-20080630.nc va500/va500_era5_moda_pl_20080701-20080731.nc va500/va500_era5_moda_pl_20080801-20080831.nc va500/va500_era5_moda_pl_20080901-20080930.nc va500/va500_era5_moda_pl_20081001-20081031.nc va500/va500_era5_moda_pl_20081101-20081130.nc va500/va500_era5_moda_pl_20081201-20081231.nc va500/va500_era5_moda_pl_20090101-20090131.nc va500/va500_era5_moda_pl_20090201-20090228.nc va500/va500_era5_moda_pl_20090301-20090331.nc va500/va500_era5_moda_pl_20090401-20090430.nc va500/va500_era5_moda_pl_20090501-20090531.nc va500/va500_era5_moda_pl_20090601-20090630.nc va500/va500_era5_moda_pl_20090701-20090731.nc va500/va500_era5_moda_pl_20090801-20090831.nc va500/va500_era5_moda_pl_20090901-20090930.nc va500/va500_era5_moda_pl_20091001-20091031.nc va500/va500_era5_moda_pl_20091101-20091130.nc va500/va500_era5_moda_pl_20091201-20091231.nc va500/va500_era5_moda_pl_20100101-20100131.nc va500/va500_era5_moda_pl_20100201-20100228.nc va500/va500_era5_moda_pl_20100301-20100331.nc va500/va500_era5_moda_pl_20100401-20100430.nc va500/va500_era5_moda_pl_20100501-20100531.nc va500/va500_era5_moda_pl_20100601-20100630.nc va500/va500_era5_moda_pl_20100701-20100731.nc va500/va500_era5_moda_pl_20100801-20100831.nc va500/va500_era5_moda_pl_20100901-20100930.nc va500/va500_era5_moda_pl_20101001-20101031.nc va500/va500_era5_moda_pl_20101101-20101130.nc va500/va500_era5_moda_pl_20101201-20101231.nc va500/va500_era5_moda_pl_20110101-20110131.nc va500/va500_era5_moda_pl_20110201-20110228.nc va500/va500_era5_moda_pl_20110301-20110331.nc va500/va500_era5_moda_pl_20110401-20110430.nc va500/va500_era5_moda_pl_20110501-20110531.nc va500/va500_era5_moda_pl_20110601-20110630.nc va500/va500_era5_moda_pl_20110701-20110731.nc va500/va500_era5_moda_pl_20110801-20110831.nc va500/va500_era5_moda_pl_20110901-20110930.nc va500/va500_era5_moda_pl_20111001-20111031.nc va500/va500_era5_moda_pl_20111101-20111130.nc va500/va500_era5_moda_pl_20111201-20111231.nc va500/va500_era5_moda_pl_20120101-20120131.nc va500/va500_era5_moda_pl_20120201-20120229.nc va500/va500_era5_moda_pl_20120301-20120331.nc va500/va500_era5_moda_pl_20120401-20120430.nc va500/va500_era5_moda_pl_20120501-20120531.nc va500/va500_era5_moda_pl_20120601-20120630.nc va500/va500_era5_moda_pl_20120701-20120731.nc va500/va500_era5_moda_pl_20120801-20120831.nc va500/va500_era5_moda_pl_20120901-20120930.nc va500/va500_era5_moda_pl_20121001-20121031.nc va500/va500_era5_moda_pl_20121101-20121130.nc va500/va500_era5_moda_pl_20121201-20121231.nc va500/va500_era5_moda_pl_20130101-20130131.nc va500/va500_era5_moda_pl_20130201-20130228.nc va500/va500_era5_moda_pl_20130301-20130331.nc va500/va500_era5_moda_pl_20130401-20130430.nc va500/va500_era5_moda_pl_20130501-20130531.nc va500/va500_era5_moda_pl_20130601-20130630.nc va500/va500_era5_moda_pl_20130701-20130731.nc va500/va500_era5_moda_pl_20130801-20130831.nc va500/va500_era5_moda_pl_20130901-20130930.nc va500/va500_era5_moda_pl_20131001-20131031.nc va500/va500_era5_moda_pl_20131101-20131130.nc va500/va500_era5_moda_pl_20131201-20131231.nc va500/va500_era5_moda_pl_20140101-20140131.nc va500/va500_era5_moda_pl_20140201-20140228.nc va500/va500_era5_moda_pl_20140301-20140331.nc va500/va500_era5_moda_pl_20140401-20140430.nc va500/va500_era5_moda_pl_20140501-20140531.nc va500/va500_era5_moda_pl_20140601-20140630.nc va500/va500_era5_moda_pl_20140701-20140731.nc va500/va500_era5_moda_pl_20140801-20140831.nc va500/va500_era5_moda_pl_20140901-20140930.nc va500/va500_era5_moda_pl_20141001-20141031.nc va500/va500_era5_moda_pl_20141101-20141130.nc va500/va500_era5_moda_pl_20141201-20141231.nc va500/va500_era5_moda_pl_20150101-20150131.nc va500/va500_era5_moda_pl_20150201-20150228.nc va500/va500_era5_moda_pl_20150301-20150331.nc va500/va500_era5_moda_pl_20150401-20150430.nc va500/va500_era5_moda_pl_20150501-20150531.nc va500/va500_era5_moda_pl_20150601-20150630.nc va500/va500_era5_moda_pl_20150701-20150731.nc va500/va500_era5_moda_pl_20150801-20150831.nc va500/va500_era5_moda_pl_20150901-20150930.nc va500/va500_era5_moda_pl_20151001-20151031.nc va500/va500_era5_moda_pl_20151101-20151130.nc va500/va500_era5_moda_pl_20151201-20151231.nc va500/va500_era5_moda_pl_20160101-20160131.nc va500/va500_era5_moda_pl_20160201-20160229.nc va500/va500_era5_moda_pl_20160301-20160331.nc va500/va500_era5_moda_pl_20160401-20160430.nc va500/va500_era5_moda_pl_20160501-20160531.nc va500/va500_era5_moda_pl_20160601-20160630.nc va500/va500_era5_moda_pl_20160701-20160731.nc va500/va500_era5_moda_pl_20160801-20160831.nc va500/va500_era5_moda_pl_20160901-20160930.nc va500/va500_era5_moda_pl_20161001-20161031.nc va500/va500_era5_moda_pl_20161101-20161130.nc va500/va500_era5_moda_pl_20161201-20161231.nc va500/va500_era5_moda_pl_20170101-20170131.nc va500/va500_era5_moda_pl_20170201-20170228.nc va500/va500_era5_moda_pl_20170301-20170331.nc va500/va500_era5_moda_pl_20170401-20170430.nc va500/va500_era5_moda_pl_20170501-20170531.nc va500/va500_era5_moda_pl_20170601-20170630.nc va500/va500_era5_moda_pl_20170701-20170731.nc va500/va500_era5_moda_pl_20170801-20170831.nc va500/va500_era5_moda_pl_20170901-20170930.nc va500/va500_era5_moda_pl_20171001-20171031.nc va500/va500_era5_moda_pl_20171101-20171130.nc va500/va500_era5_moda_pl_20171201-20171231.nc va500/va500_era5_moda_pl_20180101-20180131.nc va500/va500_era5_moda_pl_20180201-20180228.nc va500/va500_era5_moda_pl_20180301-20180331.nc va500/va500_era5_moda_pl_20180401-20180430.nc va500/va500_era5_moda_pl_20180501-20180531.nc va500/va500_era5_moda_pl_20180601-20180630.nc va500/va500_era5_moda_pl_20180701-20180731.nc va500/va500_era5_moda_pl_20180801-20180831.nc va500/va500_era5_moda_pl_20180901-20180930.nc va500/va500_era5_moda_pl_20181001-20181031.nc va500/va500_era5_moda_pl_20181101-20181130.nc va500/va500_era5_moda_pl_20181201-20181231.nc va500/va500_era5_moda_pl_20190101-20190131.nc va500/va500_era5_moda_pl_20190201-20190228.nc va500/va500_era5_moda_pl_20190301-20190331.nc va500/va500_era5_moda_pl_20190401-20190430.nc va500/va500_era5_moda_pl_20190501-20190531.nc va500/va500_era5_moda_pl_20190601-20190630.nc va500/va500_era5_moda_pl_20190701-20190731.nc va500/va500_era5_moda_pl_20190801-20190831.nc va500/va500_era5_moda_pl_20190901-20190930.nc va500/va500_era5_moda_pl_20191001-20191031.nc va500/va500_era5_moda_pl_20191101-20191130.nc va500/va500_era5_moda_pl_20191201-20191231.nc va500/va500_era5_moda_pl_20200101-20200131.nc va500/va500_era5_moda_pl_20200201-20200229.nc va500/va500_era5_moda_pl_20200301-20200331.nc va500/va500_era5_moda_pl_20200401-20200430.nc va500/va500_era5_moda_pl_20200501-20200531.nc va500/va500_era5_moda_pl_20200601-20200630.nc va500/va500_era5_moda_pl_20200701-20200731.nc va500/va500_era5_moda_pl_20200801-20200831.nc va500/va500_era5_moda_pl_20200901-20200930.nc va500/va500_era5_moda_pl_20201001-20201031.nc va500/va500_era5_moda_pl_20201101-20201130.nc va500/va500_era5_moda_pl_20201201-20201231.nc va500/va500_era5_moda_pl_20210101-20210131.nc va500/va500_era5_moda_pl_20210201-20210228.nc va500/va500_era5_moda_pl_20210301-20210331.nc va500/va500_era5_moda_pl_20210401-20210430.nc va500/va500_era5_moda_pl_20210501-20210531.nc va500/va500_era5_moda_pl_20210601-20210630.nc va500/va500_era5_moda_pl_20210701-20210731.nc va500/va500_era5_moda_pl_20210801-20210831.nc va500/va500_era5_moda_pl_20210901-20210930.nc va500/va500_era5_moda_pl_20211001-20211031.nc va500/va500_era5_moda_pl_20211101-20211130.nc va500/va500_era5_moda_pl_20211201-20211231.nc va500/va500_era5_moda_pl_20220101-20220131.nc va500/va500_era5_moda_pl_20220201-20220228.nc va500/va500_era5_moda_pl_20220301-20220331.nc va500/va500_era5_moda_pl_20220401-20220430.nc va500/va500_era5_moda_pl_20220501-20220531.nc va500/va500_era5_moda_pl_20220601-20220630.nc va500/va500_era5_moda_pl_20220701-20220731.nc va500/va500_era5_moda_pl_20220801-20220831.nc va500/va500_era5_moda_pl_19590101-20220831.nc Wed Dec 14 16:58:47 2022: cdo -b F64 -vertsum -sellevel,500 -chname,v,va500 /g/data/rt52/era5/pressure-levels/monthly-averaged/v/1959/v_era5_moda_pl_19590101-19590131.nc ./va500/va500_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