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	[-]	3.90
ACCESS-CM2_BARPA	[-]	4.30	4.31	3.90	0.411	0.546	1.32	0.422	0.687	0.814	0.980	0.718
ACCESS-CM2_CCAM	[-]	3.84	3.86	3.90	-0.0409	0.472	1.15	0.484	0.667	0.851	0.979	0.729
ACCESS-CM2_CMIP6	[-]	4.41	4.41	3.98	0.426	0.744	1.32	0.356	0.577	0.820	0.778	0.622
ACCESS-ESM1-5_BARPA	[-]	4.23	4.24	3.90	0.342	0.512	1.24	0.437	0.688	0.822	0.977	0.722
ACCESS-ESM1-5_CCAM	[-]	3.84	3.86	3.90	-0.0400	0.471	1.14	0.484	0.667	0.852	0.979	0.730
ACCESS-ESM1-5_CMIP6	[-]	4.62	4.62	3.99	0.632	0.841	1.51	0.312	0.479	0.772	0.892	0.587
CESM2_BARPA	[-]	4.39	4.40	3.90	0.503	0.594	1.43	0.390	0.685	0.805	0.991	0.711
CESM2_CCAM	[-]	3.82	3.84	3.90	-0.0564	0.506	1.75	0.470	0.662	0.745	0.960	0.700
CESM2_CMIP6	[-]	4.61	4.61	3.95	0.665	0.778	1.95	0.312	0.541	0.707	0.972	0.615
CMCC-ESM2_BARPA	[-]	4.37	4.38	3.90	0.488	0.585	1.11	0.399	0.684	0.853	0.991	0.722
CMCC-ESM2_CCAM	[-]	3.63	3.65	3.90	-0.246	0.499	1.27	0.472	0.692	0.821	0.977	0.731
CMCC-ESM2_CMIP6	[-]	3.26	3.26	3.95	-0.689	0.884	1.79	0.283	0.648	0.724	0.987	0.658
CNRM-ESM2-1_CCAM	[-]	3.65	3.67	3.90	-0.224	0.489	1.29	0.474	0.721	0.841	0.964	0.744
CNRM-ESM2-1_CMIP6	[-]	4.42	4.42	3.99	0.436	0.640	1.62	0.415	0.529	0.784	0.977	0.647
EC-Earth3_BARPA	[-]	4.27	4.28	3.90	0.381	0.562	1.70	0.426	0.593	0.740	0.970	0.664
EC-Earth3_CCAM	[-]	3.59	3.61	3.90	-0.291	0.509	1.22	0.473	0.693	0.833	0.961	0.731
EC-Earth3_CMIP6	[-]	4.15	4.15	3.92	0.225	0.657	1.42	0.387	0.617	0.791	0.917	0.666
ERA5_BARPA	[-]	4.26	4.27	3.90	0.372	0.499	1.08	0.434	0.757	0.845	0.983	0.755
ERA5_CCAM	[-]	3.65	3.67	3.90	-0.223	0.459	1.10	0.485	0.767	0.836	0.981	0.767
MPI-ESM1-2-HR_BARPA	[-]	4.47	4.48	3.90	0.583	0.673	1.54	0.367	0.639	0.786	0.976	0.682
MPI-ESM1-2-HR_CMIP6	[-]	4.00	4.00	3.93	0.0666	0.601	1.56	0.452	0.513	0.788	0.971	0.648
NorESM2-MM_BARPA	[-]	4.34	4.35	3.90	0.452	0.577	1.65	0.413	0.631	0.758	0.986	0.684
NorESM2-MM_CCAM	[-]	3.71	3.73	3.90	-0.170	0.472	1.47	0.491	0.685	0.787	0.967	0.723
NorESM2-MM_CMIP6	[-]	4.49	4.49	3.95	0.544	0.696	2.10	0.354	0.563	0.670	0.944	0.619

	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	[-]	3.09
ACCESS-CM2_BARPA	[-]	3.70	3.69	3.09	0.599	0.620	1.64	0.194	0.638	0.790	0.894	0.630
ACCESS-CM2_CCAM	[-]	3.11	3.10	3.09	0.00427	0.293	1.30	0.563	0.623	0.861	0.934	0.732
ACCESS-CM2_CMIP6	[-]	2.58	2.58	3.13	-0.541	0.748	1.27	0.194	0.504	0.882	0.256	0.464
ACCESS-ESM1-5_BARPA	[-]	3.63	3.62	3.09	0.532	0.571	1.66	0.237	0.568	0.765	0.887	0.609
ACCESS-ESM1-5_CCAM	[-]	3.10	3.10	3.09	0.00354	0.293	1.30	0.564	0.624	0.861	0.934	0.732
ACCESS-ESM1-5_CMIP6	[-]	2.98	2.98	3.08	-0.0927	0.433	1.87	0.482	0.384	0.733	0.654	0.543
CESM2_BARPA	[-]	3.78	3.77	3.09	0.679	0.708	2.03	0.152	0.565	0.718	0.903	0.582
CESM2_CCAM	[-]	2.99	2.98	3.09	-0.114	0.320	1.89	0.560	0.579	0.739	0.975	0.698
CESM2_CMIP6	[-]	3.67	3.67	3.11	0.567	0.669	2.77	0.280	0.433	0.547	0.485	0.436
CMCC-ESM2_BARPA	[-]	3.77	3.77	3.09	0.676	0.711	1.97	0.156	0.538	0.728	0.886	0.572
CMCC-ESM2_CCAM	[-]	2.93	2.92	3.09	-0.169	0.308	1.72	0.546	0.646	0.759	0.959	0.718
CMCC-ESM2_CMIP6	[-]	2.63	2.63	3.11	-0.480	0.548	2.26	0.296	0.553	0.680	0.725	0.562
CNRM-ESM2-1_CCAM	[-]	2.93	2.92	3.09	-0.168	0.283	1.16	0.546	0.714	0.881	0.974	0.771
CNRM-ESM2-1_CMIP6	[-]	3.56	3.56	3.08	0.477	0.653	1.29	0.272	0.332	0.874	0.588	0.496
EC-Earth3_BARPA	[-]	3.77	3.76	3.09	0.672	0.741	2.82	0.151	0.406	0.544	0.940	0.499
EC-Earth3_CCAM	[-]	2.90	2.89	3.09	-0.201	0.345	2.27	0.527	0.580	0.653	0.975	0.672
EC-Earth3_CMIP6	[-]	4.12	4.12	3.09	1.03	1.07	2.14	0.0550	0.410	0.678	0.983	0.518
ERA5_BARPA	[-]	3.69	3.68	3.09	0.590	0.620	1.74	0.198	0.583	0.766	0.900	0.608
ERA5_CCAM	[-]	2.93	2.92	3.09	-0.167	0.282	1.34	0.546	0.735	0.833	0.967	0.766
MPI-ESM1-2-HR_BARPA	[-]	3.89	3.88	3.09	0.793	0.824	1.51	0.107	0.510	0.808	0.911	0.576
MPI-ESM1-2-HR_CMIP6	[-]	3.62	3.62	3.08	0.544	0.671	1.23	0.214	0.381	0.868	0.772	0.539
NorESM2-MM_BARPA	[-]	3.75	3.74	3.09	0.647	0.684	2.44	0.164	0.526	0.631	0.919	0.556
NorESM2-MM_CCAM	[-]	2.97	2.96	3.09	-0.127	0.310	2.54	0.567	0.587	0.610	0.971	0.673
NorESM2-MM_CMIP6	[-]	3.77	3.77	3.11	0.665	0.774	3.03	0.275	0.405	0.505	0.386	0.394

	Download Data	Period Mean (original grids) [m s-1]	Model Period Mean (intersection) [m s-1]	Benchmark Period Mean (intersection) [m s-1]	Bias [m s-1]	RMSE [m s-1]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	2.79
ACCESS-CM2_BARPA	[-]	3.08	3.10	2.79	0.308	0.421	1.10	0.362	0.636	0.859	0.897	0.702
ACCESS-CM2_CCAM	[-]	2.70	2.74	2.79	-0.0526	0.295	1.18	0.532	0.697	0.844	0.987	0.759
ACCESS-CM2_CMIP6	[-]	3.07	3.07	3.20	-0.125	0.541	1.29	0.447	0.504	0.835	0.820	0.655
ACCESS-ESM1-5_BARPA	[-]	3.04	3.05	2.79	0.263	0.421	0.975	0.363	0.603	0.865	0.878	0.690
ACCESS-ESM1-5_CCAM	[-]	2.70	2.74	2.79	-0.0536	0.295	1.18	0.532	0.696	0.845	0.987	0.759
ACCESS-ESM1-5_CMIP6	[-]	3.06	3.06	3.06	0.000644	0.380	2.00	0.550	0.413	0.719	0.975	0.634
CESM2_BARPA	[-]	3.14	3.15	2.79	0.364	0.468	1.15	0.327	0.594	0.840	0.896	0.675
CESM2_CCAM	[-]	2.64	2.68	2.79	-0.108	0.333	1.31	0.505	0.609	0.791	0.984	0.710
CESM2_CMIP6	[-]	3.63	3.63	2.86	0.761	0.934	2.18	0.270	0.377	0.678	0.544	0.490
CMCC-ESM2_BARPA	[-]	3.16	3.18	2.79	0.386	0.516	1.42	0.298	0.558	0.814	0.862	0.648
CMCC-ESM2_CCAM	[-]	2.57	2.61	2.79	-0.180	0.330	1.14	0.477	0.681	0.847	0.984	0.741
CMCC-ESM2_CMIP6	[-]	2.81	2.81	2.86	-0.0500	0.432	2.49	0.541	0.437	0.614	0.951	0.621
CNRM-ESM2-1_CCAM	[-]	2.57	2.60	2.79	-0.184	0.350	1.26	0.448	0.680	0.841	0.993	0.738
CNRM-ESM2-1_CMIP6	[-]	3.50	3.50	3.09	0.411	0.592	2.06	0.247	0.417	0.673	0.955	0.566
EC-Earth3_BARPA	[-]	3.16	3.17	2.79	0.385	0.558	1.69	0.314	0.382	0.762	0.900	0.591
EC-Earth3_CCAM	[-]	2.54	2.57	2.79	-0.217	0.367	1.30	0.439	0.640	0.830	0.995	0.723
EC-Earth3_CMIP6	[-]	4.02	4.02	2.85	1.17	1.20	1.32	0.0634	0.437	0.821	0.996	0.574
ERA5_BARPA	[-]	3.06	3.08	2.79	0.289	0.415	1.38	0.358	0.649	0.822	0.896	0.695
ERA5_CCAM	[-]	2.54	2.58	2.79	-0.209	0.340	0.938	0.434	0.780	0.870	0.992	0.771
MPI-ESM1-2-HR_BARPA	[-]	3.26	3.27	2.79	0.482	0.571	1.29	0.287	0.467	0.851	0.906	0.632
MPI-ESM1-2-HR_CMIP6	[-]	3.57	3.57	2.93	0.647	0.765	1.59	0.235	0.377	0.803	0.813	0.568
NorESM2-MM_BARPA	[-]	3.15	3.17	2.79	0.376	0.492	1.48	0.324	0.525	0.806	0.896	0.650
NorESM2-MM_CCAM	[-]	2.63	2.67	2.79	-0.122	0.331	1.69	0.506	0.595	0.766	0.989	0.700
NorESM2-MM_CMIP6	[-]	3.59	3.59	2.86	0.727	0.943	2.14	0.207	0.397	0.685	0.695	0.468

	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	[-]	3.32
ACCESS-CM2_BARPA	[-]	3.77	3.79	3.32	0.470	0.657	0.640	0.357	0.659	0.914	0.939	0.708
ACCESS-CM2_CCAM	[-]	3.44	3.48	3.32	0.160	0.488	0.806	0.494	0.664	0.873	0.984	0.743
ACCESS-CM2_CMIP6	[-]	3.45	3.45	3.40	0.0476	0.465	0.945	0.543	0.596	0.848	0.959	0.721
ACCESS-ESM1-5_BARPA	[-]	3.71	3.73	3.32	0.407	0.613	0.637	0.373	0.686	0.920	0.928	0.721
ACCESS-ESM1-5_CCAM	[-]	3.45	3.48	3.32	0.162	0.487	0.806	0.494	0.668	0.873	0.984	0.744
ACCESS-ESM1-5_CMIP6	[-]	3.91	3.91	3.44	0.468	0.591	0.685	0.446	0.566	0.897	0.892	0.688
CESM2_BARPA	[-]	3.79	3.81	3.32	0.493	0.638	1.17	0.364	0.684	0.868	0.934	0.706
CESM2_CCAM	[-]	3.74	3.77	3.32	0.456	0.638	1.37	0.407	0.626	0.845	0.985	0.708
CESM2_CMIP6	[-]	4.35	4.35	3.37	0.978	1.04	1.18	0.214	0.551	0.871	0.828	0.612
CMCC-ESM2_BARPA	[-]	3.79	3.80	3.32	0.486	0.634	0.868	0.363	0.726	0.886	0.941	0.723
CMCC-ESM2_CCAM	[-]	3.18	3.22	3.32	-0.104	0.475	1.23	0.509	0.693	0.821	0.961	0.740
CMCC-ESM2_CMIP6	[-]	3.06	3.06	3.37	-0.313	0.741	2.82	0.408	0.523	0.512	0.987	0.584
CNRM-ESM2-1_CCAM	[-]	3.29	3.32	3.32	0.00365	0.493	1.45	0.499	0.674	0.829	0.974	0.737
CNRM-ESM2-1_CMIP6	[-]	4.21	4.21	3.38	0.836	0.911	2.26	0.285	0.554	0.662	0.989	0.601
EC-Earth3_BARPA	[-]	3.75	3.77	3.32	0.448	0.674	1.71	0.379	0.541	0.724	0.904	0.632
EC-Earth3_CCAM	[-]	3.21	3.25	3.32	-0.0719	0.468	1.20	0.524	0.674	0.823	0.951	0.736
EC-Earth3_CMIP6	[-]	3.80	3.80	3.37	0.431	0.721	1.71	0.397	0.523	0.743	0.899	0.617
ERA5_BARPA	[-]	3.72	3.74	3.32	0.416	0.598	0.825	0.376	0.722	0.877	0.914	0.722
ERA5_CCAM	[-]	3.20	3.23	3.32	-0.0843	0.435	0.985	0.531	0.736	0.836	0.965	0.764
MPI-ESM1-2-HR_BARPA	[-]	3.96	3.98	3.32	0.660	0.810	1.65	0.327	0.570	0.784	0.950	0.645
MPI-ESM1-2-HR_CMIP6	[-]	3.48	3.48	3.37	0.106	0.623	2.40	0.443	0.486	0.628	0.927	0.605
NorESM2-MM_BARPA	[-]	3.78	3.80	3.32	0.479	0.639	1.43	0.370	0.629	0.776	0.933	0.669
NorESM2-MM_CCAM	[-]	3.35	3.38	3.32	0.0649	0.459	1.17	0.515	0.706	0.828	0.962	0.747
NorESM2-MM_CMIP6	[-]	4.24	4.24	3.37	0.861	0.918	1.45	0.257	0.593	0.770	0.796	0.608

	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	[-]	3.49
ACCESS-CM2_BARPA	[-]	4.09	4.11	3.49	0.615	0.658	1.20	0.250	0.710	0.845	0.925	0.685
ACCESS-CM2_CCAM	[-]	3.16	3.18	3.49	-0.307	0.515	1.24	0.432	0.737	0.840	0.963	0.742
ACCESS-CM2_CMIP6	[-]	3.30	3.30	3.49	-0.189	0.738	1.48	0.297	0.619	0.801	0.490	0.559
ACCESS-ESM1-5_BARPA	[-]	4.00	4.02	3.49	0.526	0.578	0.992	0.300	0.706	0.882	0.929	0.704
ACCESS-ESM1-5_CCAM	[-]	3.17	3.19	3.49	-0.305	0.512	1.24	0.433	0.738	0.842	0.964	0.744
ACCESS-ESM1-5_CMIP6	[-]	3.63	3.63	3.48	0.144	0.467	0.968	0.440	0.546	0.896	0.895	0.678
CESM2_BARPA	[-]	4.13	4.14	3.49	0.652	0.696	1.31	0.231	0.711	0.848	0.915	0.680
CESM2_CCAM	[-]	3.11	3.13	3.49	-0.359	0.535	1.72	0.419	0.701	0.750	0.974	0.710
CESM2_CMIP6	[-]	4.33	4.33	3.54	0.789	0.870	2.41	0.177	0.494	0.621	0.924	0.547
CMCC-ESM2_BARPA	[-]	4.06	4.07	3.49	0.581	0.642	1.24	0.263	0.636	0.848	0.928	0.665
CMCC-ESM2_CCAM	[-]	3.02	3.04	3.49	-0.452	0.565	1.52	0.369	0.743	0.800	0.995	0.729
CMCC-ESM2_CMIP6	[-]	2.99	2.99	3.54	-0.545	0.622	1.54	0.297	0.616	0.808	0.932	0.658
CNRM-ESM2-1_CCAM	[-]	3.07	3.09	3.49	-0.399	0.526	1.13	0.393	0.764	0.863	0.994	0.755
CNRM-ESM2-1_CMIP6	[-]	3.98	3.98	3.57	0.408	0.586	1.32	0.397	0.488	0.813	0.941	0.641
EC-Earth3_BARPA	[-]	4.04	4.05	3.49	0.562	0.633	1.33	0.273	0.606	0.822	0.930	0.652
EC-Earth3_CCAM	[-]	3.02	3.04	3.49	-0.456	0.560	1.36	0.365	0.759	0.830	0.995	0.740
EC-Earth3_CMIP6	[-]	4.24	4.24	3.47	0.772	0.808	0.793	0.185	0.565	0.924	0.993	0.655
ERA5_BARPA	[-]	4.00	4.01	3.49	0.521	0.582	1.38	0.294	0.686	0.804	0.924	0.678
ERA5_CCAM	[-]	3.06	3.08	3.49	-0.416	0.530	1.29	0.386	0.804	0.834	0.993	0.760
MPI-ESM1-2-HR_BARPA	[-]	4.32	4.33	3.49	0.843	0.880	0.944	0.162	0.620	0.895	0.921	0.646
MPI-ESM1-2-HR_CMIP6	[-]	4.21	4.21	3.53	0.680	0.742	1.30	0.256	0.556	0.816	0.938	0.632
NorESM2-MM_BARPA	[-]	4.08	4.10	3.49	0.607	0.651	1.40	0.250	0.718	0.825	0.922	0.683
NorESM2-MM_CCAM	[-]	3.09	3.11	3.49	-0.379	0.517	1.71	0.401	0.731	0.762	0.994	0.723
NorESM2-MM_CMIP6	[-]	4.17	4.17	3.54	0.627	0.709	2.52	0.257	0.543	0.598	0.956	0.584

	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	[-]	4.25
ACCESS-CM2_BARPA	[-]	4.59	4.59	4.25	0.342	0.482	1.56	0.489	0.712	0.775	0.818	0.693
ACCESS-CM2_CCAM	[-]	4.17	4.18	4.25	-0.0712	0.472	1.24	0.478	0.663	0.844	0.834	0.699
ACCESS-CM2_CMIP6	[-]	5.02	5.02	4.24	0.772	0.860	1.36	0.295	0.574	0.822	0.913	0.645
ACCESS-ESM1-5_BARPA	[-]	4.52	4.52	4.25	0.271	0.455	1.54	0.496	0.716	0.770	0.817	0.697
ACCESS-ESM1-5_CCAM	[-]	4.17	4.18	4.25	-0.0709	0.472	1.23	0.478	0.663	0.844	0.835	0.699
ACCESS-ESM1-5_CMIP6	[-]	5.15	5.15	4.28	0.873	1.02	1.84	0.210	0.450	0.712	0.958	0.572
CESM2_BARPA	[-]	4.72	4.72	4.25	0.477	0.552	1.55	0.441	0.713	0.779	0.870	0.697
CESM2_CCAM	[-]	4.08	4.09	4.25	-0.161	0.473	1.98	0.485	0.688	0.695	0.776	0.668
CESM2_CMIP6	[-]	4.83	4.83	4.26	0.566	0.665	2.14	0.365	0.565	0.666	0.853	0.610
CMCC-ESM2_BARPA	[-]	4.71	4.71	4.25	0.463	0.544	1.12	0.455	0.712	0.848	0.872	0.716
CMCC-ESM2_CCAM	[-]	3.96	3.97	4.25	-0.282	0.512	1.27	0.467	0.696	0.816	0.902	0.713
CMCC-ESM2_CMIP6	[-]	3.26	3.26	4.26	-0.997	1.04	1.54	0.206	0.724	0.766	0.978	0.646
CNRM-ESM2-1_CCAM	[-]	3.96	3.96	4.25	-0.289	0.496	1.30	0.474	0.735	0.835	0.849	0.721
CNRM-ESM2-1_CMIP6	[-]	4.58	4.58	4.27	0.313	0.537	1.57	0.480	0.556	0.796	0.886	0.674
EC-Earth3_BARPA	[-]	4.56	4.56	4.25	0.309	0.498	1.82	0.488	0.633	0.722	0.795	0.651
EC-Earth3_CCAM	[-]	3.89	3.89	4.25	-0.353	0.528	1.21	0.471	0.703	0.839	0.869	0.711
EC-Earth3_CMIP6	[-]	4.15	4.15	4.26	-0.108	0.518	1.44	0.469	0.694	0.784	0.981	0.723
ERA5_BARPA	[-]	4.57	4.57	4.25	0.320	0.445	1.12	0.494	0.795	0.839	0.841	0.737
ERA5_CCAM	[-]	4.00	4.00	4.25	-0.246	0.469	1.20	0.483	0.771	0.821	0.911	0.743
MPI-ESM1-2-HR_BARPA	[-]	4.74	4.74	4.25	0.496	0.579	1.59	0.438	0.684	0.766	0.816	0.672
MPI-ESM1-2-HR_CMIP6	[-]	4.08	4.08	4.25	-0.170	0.514	1.48	0.530	0.532	0.811	0.837	0.647
NorESM2-MM_BARPA	[-]	4.66	4.66	4.25	0.414	0.539	1.82	0.471	0.637	0.731	0.833	0.663
NorESM2-MM_CCAM	[-]	4.02	4.03	4.25	-0.220	0.479	1.56	0.489	0.689	0.771	0.865	0.696
NorESM2-MM_CMIP6	[-]	4.67	4.67	4.26	0.411	0.581	2.28	0.419	0.578	0.637	0.770	0.611

	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	[-]	3.39
ACCESS-CM2_BARPA	[-]	3.79	3.83	3.39	0.438	0.645	0.486	0.404	0.582	0.952	0.935	0.718
ACCESS-CM2_CCAM	[-]	3.39	3.47	3.39	0.0768	0.715	0.706	0.332	0.649	0.926	0.985	0.715
ACCESS-CM2_CMIP6	[-]	3.73	3.73	4.25	-0.526	0.858	0.572	0.300	0.550	0.928	0.858	0.670
ACCESS-ESM1-5_BARPA	[-]	3.81	3.85	3.39	0.460	0.737	0.386	0.378	0.481	0.964	0.931	0.680
ACCESS-ESM1-5_CCAM	[-]	3.39	3.47	3.39	0.0770	0.714	0.706	0.333	0.648	0.926	0.986	0.715
ACCESS-ESM1-5_CMIP6	[-]	4.17	4.17	3.95	0.217	0.649	0.514	0.522	0.516	0.951	0.894	0.666
CESM2_BARPA	[-]	3.77	3.80	3.39	0.412	0.667	0.681	0.413	0.542	0.932	0.938	0.701
CESM2_CCAM	[-]	3.37	3.46	3.39	0.0648	0.783	0.789	0.329	0.511	0.918	0.982	0.671
CESM2_CMIP6	[-]	4.32	4.32	3.91	0.409	0.827	1.16	0.377	0.429	0.847	0.989	0.637
CMCC-ESM2_BARPA	[-]	3.65	3.68	3.39	0.287	0.546	0.779	0.454	0.635	0.906	0.949	0.739
CMCC-ESM2_CCAM	[-]	3.24	3.32	3.39	-0.0726	0.670	0.799	0.364	0.675	0.920	0.987	0.728
CMCC-ESM2_CMIP6	[-]	4.13	4.13	3.91	0.216	0.799	1.29	0.356	0.571	0.818	0.844	0.637
CNRM-ESM2-1_CCAM	[-]	3.38	3.46	3.39	0.0736	0.707	1.22	0.336	0.684	0.875	0.979	0.714
CNRM-ESM2-1_CMIP6	[-]	4.19	4.19	4.20	-0.00813	0.385	1.25	0.652	0.628	0.891	0.993	0.785
EC-Earth3_BARPA	[-]	3.63	3.66	3.39	0.269	0.545	0.565	0.462	0.618	0.944	0.953	0.748
EC-Earth3_CCAM	[-]	3.24	3.32	3.39	-0.0736	0.655	0.466	0.365	0.708	0.955	0.988	0.748
EC-Earth3_CMIP6	[-]	4.32	4.32	3.61	0.710	0.813	0.671	0.265	0.592	0.949	0.906	0.671
ERA5_BARPA	[-]	3.56	3.59	3.39	0.202	0.483	0.957	0.462	0.745	0.867	0.948	0.771
ERA5_CCAM	[-]	3.20	3.28	3.39	-0.113	0.607	0.422	0.377	0.814	0.956	0.986	0.783
MPI-ESM1-2-HR_BARPA	[-]	4.11	4.14	3.39	0.751	0.880	0.518	0.293	0.496	0.955	0.924	0.663
MPI-ESM1-2-HR_CMIP6	[-]	4.15	4.15	3.63	0.521	0.826	0.503	0.365	0.526	0.954	0.837	0.645
NorESM2-MM_BARPA	[-]	3.68	3.71	3.39	0.318	0.543	0.436	0.448	0.687	0.958	0.944	0.765
NorESM2-MM_CCAM	[-]	3.29	3.37	3.39	-0.0213	0.652	0.783	0.370	0.665	0.918	0.988	0.725
NorESM2-MM_CMIP6	[-]	4.04	4.04	3.91	0.129	0.598	1.09	0.383	0.582	0.851	0.993	0.666

	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	[-]	4.19
ACCESS-CM2_BARPA	[-]	4.72	4.75	4.19	0.556	0.627	1.25	0.344	0.622	0.811	0.990	0.679
ACCESS-CM2_CCAM	[-]	3.97	4.04	4.19	-0.152	0.483	1.00	0.515	0.638	0.863	0.935	0.721
ACCESS-CM2_CMIP6	[-]	4.82	4.82	4.57	0.253	0.509	2.19	0.520	0.600	0.640	0.976	0.672
ACCESS-ESM1-5_BARPA	[-]	4.63	4.66	4.19	0.466	0.552	0.614	0.399	0.622	0.910	0.988	0.711
ACCESS-ESM1-5_CCAM	[-]	3.98	4.04	4.19	-0.148	0.483	0.919	0.516	0.634	0.872	0.936	0.723
ACCESS-ESM1-5_CMIP6	[-]	4.67	4.67	4.35	0.316	0.692	1.31	0.366	0.487	0.806	0.916	0.602
CESM2_BARPA	[-]	4.80	4.83	4.19	0.638	0.708	1.31	0.301	0.579	0.811	0.996	0.660
CESM2_CCAM	[-]	3.86	3.93	4.19	-0.261	0.514	1.32	0.495	0.623	0.811	0.943	0.701
CESM2_CMIP6	[-]	5.12	5.12	4.30	0.827	0.929	1.64	0.223	0.509	0.776	0.993	0.575
CMCC-ESM2_BARPA	[-]	4.78	4.81	4.19	0.621	0.708	0.967	0.308	0.545	0.878	0.994	0.672
CMCC-ESM2_CCAM	[-]	3.82	3.89	4.19	-0.304	0.527	1.11	0.480	0.640	0.857	0.941	0.719
CMCC-ESM2_CMIP6	[-]	4.08	4.08	4.30	-0.212	0.673	1.02	0.405	0.504	0.884	0.842	0.651
CNRM-ESM2-1_CCAM	[-]	3.76	3.83	4.19	-0.365	0.504	1.06	0.466	0.719	0.852	0.966	0.750
CNRM-ESM2-1_CMIP6	[-]	4.87	4.87	4.43	0.443	0.780	0.811	0.347	0.476	0.913	0.976	0.662
EC-Earth3_BARPA	[-]	4.71	4.74	4.19	0.543	0.623	0.670	0.349	0.609	0.898	0.986	0.693
EC-Earth3_CCAM	[-]	3.75	3.82	4.19	-0.370	0.527	0.656	0.462	0.686	0.901	0.965	0.743
EC-Earth3_CMIP6	[-]	5.00	5.00	4.29	0.716	0.806	0.887	0.289	0.521	0.857	0.996	0.654
ERA5_BARPA	[-]	4.71	4.74	4.19	0.542	0.579	0.629	0.353	0.743	0.906	0.990	0.739
ERA5_CCAM	[-]	3.82	3.89	4.19	-0.302	0.474	0.719	0.483	0.765	0.894	0.943	0.763
MPI-ESM1-2-HR_BARPA	[-]	4.86	4.89	4.19	0.699	0.732	1.82	0.273	0.705	0.756	0.991	0.674
MPI-ESM1-2-HR_CMIP6	[-]	4.97	4.97	4.25	0.716	0.848	0.770	0.280	0.524	0.898	0.996	0.655
NorESM2-MM_BARPA	[-]	4.75	4.78	4.19	0.586	0.654	0.921	0.330	0.617	0.884	0.996	0.697
NorESM2-MM_CCAM	[-]	3.80	3.87	4.19	-0.323	0.511	0.819	0.484	0.671	0.884	0.960	0.738
NorESM2-MM_CMIP6	[-]	5.14	5.14	4.30	0.842	0.943	2.03	0.231	0.526	0.709	0.980	0.593

	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	[-]	3.41
ACCESS-CM2_BARPA	[-]	4.01	4.11	3.41	0.702	0.880	1.82	0.367	0.652	0.754	0.987	0.686
ACCESS-CM2_CCAM	[-]	3.34	3.47	3.41	0.0608	0.527	1.86	0.572	0.709	0.744	0.938	0.737
ACCESS-CM2_CMIP6	[-]	4.96	4.96	4.38	0.586	0.813	1.84	0.401	0.668	0.758	0.888	0.677
ACCESS-ESM1-5_BARPA	[-]	3.91	4.01	3.41	0.601	0.786	1.25	0.398	0.684	0.853	0.991	0.726
ACCESS-ESM1-5_CCAM	[-]	3.34	3.47	3.41	0.0606	0.526	1.86	0.572	0.710	0.744	0.938	0.738
ACCESS-ESM1-5_CMIP6	[-]	4.93	4.93	4.28	0.654	1.29	1.02	0.308	0.675	0.933	0.388	0.587
CESM2_BARPA	[-]	3.85	3.95	3.41	0.541	0.733	1.60	0.422	0.686	0.793	0.994	0.720
CESM2_CCAM	[-]	3.42	3.55	3.41	0.147	0.529	1.60	0.562	0.711	0.810	0.962	0.756
CESM2_CMIP6	[-]	4.17	4.17	3.92	0.258	1.08	1.47	0.323	0.683	0.804	0.364	0.559
CMCC-ESM2_BARPA	[-]	3.95	4.05	3.41	0.641	0.788	1.06	0.389	0.710	0.891	0.994	0.742
CMCC-ESM2_CCAM	[-]	3.15	3.28	3.41	-0.127	0.522	1.32	0.590	0.707	0.846	0.926	0.761
CMCC-ESM2_CMIP6	[-]	4.49	4.49	3.92	0.575	0.743	1.59	0.466	0.690	0.788	0.948	0.719
CNRM-ESM2-1_CCAM	[-]	3.38	3.52	3.41	0.108	0.484	1.10	0.576	0.743	0.894	0.969	0.790
CNRM-ESM2-1_CMIP6	[-]	5.47	5.47	4.25	1.22	1.44	1.54	0.278	0.411	0.827	0.863	0.574
EC-Earth3_BARPA	[-]	3.71	3.81	3.41	0.401	0.686	1.66	0.471	0.605	0.774	0.988	0.698
EC-Earth3_CCAM	[-]	3.03	3.16	3.41	-0.247	0.539	1.74	0.573	0.728	0.775	0.912	0.745
EC-Earth3_CMIP6	[-]	4.24	4.24	3.47	0.775	1.01	1.49	0.312	0.481	0.822	0.768	0.583
ERA5_BARPA	[-]	3.81	3.91	3.41	0.506	0.668	0.719	0.429	0.815	0.908	0.994	0.790
ERA5_CCAM	[-]	3.08	3.21	3.41	-0.194	0.482	0.482	0.589	0.794	0.939	0.931	0.811
MPI-ESM1-2-HR_BARPA	[-]	4.25	4.36	3.41	0.954	1.07	1.77	0.300	0.625	0.761	0.982	0.662
MPI-ESM1-2-HR_CMIP6	[-]	4.20	4.20	4.16	0.0409	0.919	1.57	0.444	0.578	0.793	0.790	0.643
NorESM2-MM_BARPA	[-]	3.69	3.78	3.41	0.376	0.678	1.81	0.472	0.628	0.752	0.990	0.701
NorESM2-MM_CCAM	[-]	3.24	3.37	3.41	-0.0379	0.502	1.03	0.592	0.702	0.911	0.943	0.777
NorESM2-MM_CMIP6	[-]	4.38	4.38	3.92	0.466	0.848	0.912	0.404	0.689	0.926	0.683	0.677

	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	[-]	6.20
ACCESS-CM2_BARPA	[-]	6.70	6.69	6.17		8.08	0.524	0.753	1.11	0.585	0.644	0.851	0.994	0.744
ACCESS-CM2_CCAM	[-]	6.35	6.34	6.08		8.81	0.256	0.663	1.26	0.676	0.632	0.825	0.992	0.751
ACCESS-CM2_CMIP6	[-]	6.43	6.42	6.11	7.17		0.320	0.755	1.16	0.596	0.628	0.845	0.984	0.736
ACCESS-ESM1-5_BARPA	[-]	6.51	6.51	6.17		8.08	0.343	0.672	1.20	0.651	0.640	0.838	0.990	0.752
ACCESS-ESM1-5_CCAM	[-]	6.35	6.34	6.08		8.81	0.260	0.663	1.25	0.675	0.633	0.827	0.992	0.752
ACCESS-ESM1-5_CMIP6	[-]	6.37	6.35	6.13	6.63		0.228	0.756	1.23	0.643	0.567	0.828	0.991	0.719
CESM2_BARPA	[-]	7.09	7.08	6.17		8.08	0.910	1.05	1.05	0.444	0.653	0.861	0.985	0.719
CESM2_CCAM	[-]	6.43	6.42	6.08		8.81	0.340	0.676	1.24	0.644	0.676	0.829	0.988	0.762
CESM2_CMIP6	[-]	6.43	6.43	6.12	6.33		0.305	0.664	1.19	0.667	0.626	0.836	0.992	0.749
CMCC-ESM2_BARPA	[-]	6.90	6.90	6.17		8.08	0.728	0.894	1.14	0.505	0.663	0.848	0.988	0.733
CMCC-ESM2_CCAM	[-]	6.12	6.11	6.08		8.81	0.0289	0.537	1.23	0.710	0.697	0.834	0.993	0.786
CMCC-ESM2_CMIP6	[-]	6.41	6.42	6.12	6.34		0.291	0.746	1.27	0.581	0.658	0.827	0.978	0.741
CNRM-ESM2-1_CCAM	[-]	6.20	6.19	6.08		8.81	0.106	0.609	1.35	0.700	0.660	0.812	0.993	0.765
CNRM-ESM2-1_CMIP6	[-]	6.54	6.55	6.15	6.31		0.395	0.756	1.36	0.615	0.611	0.813	0.985	0.727
EC-Earth3_BARPA	[-]	6.81	6.81	6.17		8.08	0.639	0.868	1.34	0.551	0.617	0.812	0.987	0.717
EC-Earth3_CCAM	[-]	6.00	5.99	6.08		8.81	-0.0885	0.574	1.16	0.693	0.689	0.850	0.992	0.783
EC-Earth3_CMIP6	[-]	6.18	6.18	6.10	6.14		0.0747	0.602	1.08	0.684	0.658	0.864	0.991	0.771
ERA5_BARPA	[-]	6.52	6.52	6.17		8.08	0.348	0.455	0.616	0.675	0.808	0.913	0.997	0.841
ERA5_CCAM	[-]	5.97	5.96	6.08		8.81	-0.119	0.364	0.607	0.727	0.840	0.913	0.993	0.863
MPI-ESM1-2-HR_BARPA	[-]	6.95	6.95	6.17		8.08	0.780	0.926	1.24	0.476	0.648	0.835	0.993	0.720
MPI-ESM1-2-HR_CMIP6	[-]	6.41	6.42	6.14	6.16		0.277	0.697	1.20	0.617	0.641	0.841	0.983	0.744
NorESM2-MM_BARPA	[-]	7.05	7.04	6.17		8.08	0.871	1.04	1.34	0.480	0.646	0.806	0.976	0.711
NorESM2-MM_CCAM	[-]	6.20	6.19	6.08		8.81	0.106	0.530	1.27	0.718	0.697	0.823	0.992	0.785
NorESM2-MM_CMIP6	[-]	6.16	6.15	6.12	6.32		0.0264	0.517	1.32	0.718	0.687	0.814	0.992	0.780

	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	[-]	4.32
ACCESS-CM2_BARPA	[-]	5.04	5.02	4.31		5.30	0.706	0.990	1.19	0.501	0.562	0.826	0.983	0.687
ACCESS-CM2_CCAM	[-]	4.75	4.74	4.31		5.30	0.428	0.862	1.40	0.596	0.553	0.789	0.995	0.697
ACCESS-CM2_CMIP6	[-]	4.55	4.55	4.33			0.215	0.943	1.15	0.524	0.556	0.834	0.949	0.684
ACCESS-ESM1-5_BARPA	[-]	4.69	4.67	4.31		5.30	0.358	0.732	1.33	0.647	0.581	0.808	0.995	0.723
ACCESS-ESM1-5_CCAM	[-]	4.76	4.75	4.31		5.30	0.436	0.863	1.39	0.593	0.554	0.789	0.995	0.697
ACCESS-ESM1-5_CMIP6	[-]	4.59	4.51	4.24	5.99		0.271	0.853	1.17	0.615	0.514	0.835	0.987	0.693
CESM2_BARPA	[-]	5.53	5.51	4.31		5.30	1.19	1.34	1.19	0.367	0.603	0.839	0.949	0.672
CESM2_CCAM	[-]	4.97	4.96	4.31		5.30	0.647	0.911	1.48	0.551	0.635	0.783	0.992	0.719
CESM2_CMIP6	[-]	4.66	4.62	4.31	5.64		0.308	0.717	1.26	0.666	0.586	0.822	0.994	0.731
CMCC-ESM2_BARPA	[-]	5.32	5.29	4.31		5.30	0.979	1.13	1.15	0.420	0.638	0.842	0.962	0.700
CMCC-ESM2_CCAM	[-]	4.59	4.58	4.31		5.30	0.264	0.629	1.41	0.665	0.655	0.792	0.994	0.752
CMCC-ESM2_CMIP6	[-]	4.78	4.76	4.31	5.42		0.444	0.739	1.39	0.579	0.648	0.802	0.987	0.733
CNRM-ESM2-1_CCAM	[-]	4.53	4.52	4.31		5.30	0.210	0.732	1.18	0.702	0.570	0.830	0.996	0.734
CNRM-ESM2-1_CMIP6	[-]	4.67	4.60	4.33	5.88		0.275	0.820	1.15	0.622	0.542	0.843	0.985	0.707
EC-Earth3_BARPA	[-]	5.35	5.33	4.31		5.30	1.02	1.20	1.40	0.399	0.590	0.800	0.973	0.671
EC-Earth3_CCAM	[-]	4.58	4.57	4.31		5.30	0.259	0.637	1.32	0.672	0.651	0.812	0.995	0.756
EC-Earth3_CMIP6	[-]	4.75	4.71	4.29	5.92		0.421	0.702	1.00	0.615	0.620	0.869	0.996	0.744
ERA5_BARPA	[-]	4.75	4.73	4.31		5.30	0.420	0.573	0.730	0.630	0.737	0.893	0.993	0.798
ERA5_CCAM	[-]	4.37	4.36	4.31		5.30	0.0479	0.447	0.783	0.683	0.784	0.882	0.989	0.824
MPI-ESM1-2-HR_BARPA	[-]	5.35	5.33	4.31		5.30	1.02	1.20	1.35	0.387	0.578	0.822	0.970	0.667
MPI-ESM1-2-HR_CMIP6	[-]	4.55	4.50	4.30	5.68		0.198	0.742	1.36	0.627	0.598	0.812	0.989	0.725
NorESM2-MM_BARPA	[-]	5.51	5.48	4.31		5.30	1.17	1.40	1.54	0.399	0.568	0.762	0.925	0.644
NorESM2-MM_CCAM	[-]	4.64	4.63	4.31		5.30	0.313	0.677	1.48	0.656	0.637	0.775	0.995	0.740
NorESM2-MM_CMIP6	[-]	4.42	4.38	4.31	5.49		0.0638	0.600	1.44	0.700	0.635	0.782	0.997	0.749

	Download Data	Period Mean (original grids) [m s-1]	Model Period Mean (intersection) [m s-1]	Benchmark Period Mean (intersection) [m s-1]	Bias [m s-1]	RMSE [m s-1]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	3.09
ACCESS-CM2_BARPA	[-]	3.70	3.69	3.09	0.599	0.620	1.64	0.194	0.638	0.790	0.894	0.631
ACCESS-CM2_CCAM	[-]	3.11	3.10	3.09	0.00427	0.293	1.30	0.563	0.623	0.861	0.934	0.721
ACCESS-CM2_CMIP6	[-]	2.58	2.58	3.13	-0.541	0.748	1.27	0.194	0.504	0.882	0.256	0.468
ACCESS-ESM1-5_BARPA	[-]	3.63	3.62	3.09	0.532	0.571	1.66	0.237	0.568	0.765	0.887	0.605
ACCESS-ESM1-5_CCAM	[-]	3.10	3.10	3.09	0.00354	0.293	1.30	0.564	0.624	0.861	0.934	0.721
ACCESS-ESM1-5_CMIP6	[-]	2.98	2.98	3.08	-0.0927	0.433	1.87	0.482	0.384	0.733	0.654	0.528
CESM2_BARPA	[-]	3.78	3.77	3.09	0.679	0.708	2.03	0.152	0.565	0.718	0.903	0.580
CESM2_CCAM	[-]	2.99	2.98	3.09	-0.114	0.320	1.89	0.560	0.579	0.739	0.975	0.686
CESM2_CMIP6	[-]	3.67	3.67	3.11	0.567	0.669	2.77	0.280	0.433	0.547	0.485	0.436
CMCC-ESM2_BARPA	[-]	3.77	3.77	3.09	0.676	0.711	1.97	0.156	0.538	0.728	0.886	0.569
CMCC-ESM2_CCAM	[-]	2.93	2.92	3.09	-0.169	0.308	1.72	0.546	0.646	0.759	0.959	0.711
CMCC-ESM2_CMIP6	[-]	2.63	2.63	3.11	-0.480	0.548	2.26	0.296	0.553	0.680	0.725	0.561
CNRM-ESM2-1_CCAM	[-]	2.93	2.92	3.09	-0.168	0.283	1.16	0.546	0.714	0.881	0.974	0.766
CNRM-ESM2-1_CMIP6	[-]	3.56	3.56	3.08	0.477	0.653	1.29	0.272	0.332	0.874	0.588	0.480
EC-Earth3_BARPA	[-]	3.77	3.76	3.09	0.672	0.741	2.82	0.151	0.406	0.544	0.940	0.490
EC-Earth3_CCAM	[-]	2.90	2.89	3.09	-0.201	0.345	2.27	0.527	0.580	0.653	0.975	0.663
EC-Earth3_CMIP6	[-]	4.12	4.12	3.09	1.03	1.07	2.14	0.0550	0.410	0.678	0.983	0.507
ERA5_BARPA	[-]	3.69	3.68	3.09	0.590	0.620	1.74	0.198	0.583	0.766	0.900	0.606
ERA5_CCAM	[-]	2.93	2.92	3.09	-0.167	0.282	1.34	0.546	0.735	0.833	0.967	0.763
MPI-ESM1-2-HR_BARPA	[-]	3.89	3.88	3.09	0.793	0.824	1.51	0.107	0.510	0.808	0.911	0.569
MPI-ESM1-2-HR_CMIP6	[-]	3.62	3.62	3.08	0.544	0.671	1.23	0.214	0.381	0.868	0.772	0.523
NorESM2-MM_BARPA	[-]	3.75	3.74	3.09	0.647	0.684	2.44	0.164	0.526	0.631	0.919	0.553
NorESM2-MM_CCAM	[-]	2.97	2.96	3.09	-0.127	0.310	2.54	0.567	0.587	0.610	0.971	0.664
NorESM2-MM_CMIP6	[-]	3.77	3.77	3.11	0.665	0.774	3.03	0.275	0.405	0.505	0.386	0.395

	Download Data	Period Mean (original grids) [m s-1]	Model Period Mean (intersection) [m s-1]	Benchmark Period Mean (intersection) [m s-1]	Bias [m s-1]	RMSE [m s-1]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	2.87
ACCESS-CM2_BARPA	[-]	3.29	3.30	2.87	0.439	0.481	1.22	0.276	0.607	0.844	0.994	0.666
ACCESS-CM2_CCAM	[-]	2.71	2.75	2.87	-0.118	0.273	1.25	0.560	0.665	0.840	0.989	0.744
ACCESS-CM2_CMIP6	[-]	3.32	3.32	3.21	0.117	0.454	1.30	0.579	0.406	0.826	0.892	0.622
ACCESS-ESM1-5_BARPA	[-]	3.27	3.28	2.87	0.418	0.471	0.998	0.291	0.568	0.866	0.990	0.657
ACCESS-ESM1-5_CCAM	[-]	2.71	2.75	2.87	-0.119	0.273	1.25	0.560	0.664	0.840	0.989	0.743
ACCESS-ESM1-5_CMIP6	[-]	3.15	3.15	3.11	0.0395	0.392	1.34	0.539	0.397	0.827	0.993	0.631
CESM2_BARPA	[-]	3.35	3.36	2.87	0.498	0.543	1.08	0.229	0.550	0.859	0.998	0.637
CESM2_CCAM	[-]	2.64	2.68	2.87	-0.188	0.328	1.03	0.512	0.577	0.840	0.984	0.698
CESM2_CMIP6	[-]	4.03	4.03	2.87	1.16	1.25	1.46	0.128	0.312	0.814	0.454	0.404
CMCC-ESM2_BARPA	[-]	3.41	3.43	2.87	0.560	0.607	1.37	0.192	0.515	0.841	0.994	0.612
CMCC-ESM2_CCAM	[-]	2.61	2.64	2.87	-0.223	0.322	0.985	0.481	0.647	0.874	0.984	0.727
CMCC-ESM2_CMIP6	[-]	3.01	3.01	2.87	0.145	0.373	2.14	0.596	0.367	0.688	0.972	0.598
CNRM-ESM2-1_CCAM	[-]	2.56	2.59	2.87	-0.275	0.350	1.19	0.442	0.655	0.840	0.995	0.717
CNRM-ESM2-1_CMIP6	[-]	3.72	3.72	3.14	0.585	0.676	1.45	0.180	0.361	0.797	1.00	0.540
EC-Earth3_BARPA	[-]	3.38	3.39	2.87	0.526	0.659	1.41	0.205	0.298	0.826	0.999	0.525
EC-Earth3_CCAM	[-]	2.54	2.57	2.87	-0.291	0.378	1.30	0.425	0.596	0.845	0.997	0.692
EC-Earth3_CMIP6	[-]	4.19	4.19	2.90	1.30	1.34	1.57	0.0253	0.360	0.792	0.932	0.494
ERA5_BARPA	[-]	3.28	3.30	2.87	0.432	0.473	1.41	0.278	0.610	0.835	0.997	0.666
ERA5_CCAM	[-]	2.54	2.57	2.87	-0.293	0.339	0.912	0.422	0.775	0.867	0.996	0.767
MPI-ESM1-2-HR_BARPA	[-]	3.44	3.46	2.87	0.590	0.657	1.38	0.176	0.425	0.841	0.996	0.572
MPI-ESM1-2-HR_CMIP6	[-]	3.74	3.74	2.95	0.786	0.905	1.70	0.159	0.281	0.785	0.892	0.479
NorESM2-MM_BARPA	[-]	3.36	3.38	2.87	0.511	0.582	1.47	0.221	0.441	0.822	0.998	0.585
NorESM2-MM_CCAM	[-]	2.65	2.68	2.87	-0.184	0.322	1.47	0.518	0.563	0.822	0.989	0.691
NorESM2-MM_CMIP6	[-]	4.02	4.02	2.87	1.15	1.21	1.40	0.101	0.325	0.835	0.713	0.460

	Download Data	Period Mean (original grids) [m s-1]	Model Period Mean (intersection) [m s-1]	Benchmark Period Mean (intersection) [m s-1]	Bias [m s-1]	RMSE [m s-1]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	2.62
ACCESS-CM2_BARPA	[-]	2.66	2.65	2.62	0.0244	0.293	0.834	0.547	0.700	0.893	0.872	0.742
ACCESS-CM2_CCAM	[-]	2.67	2.71	2.62	0.0885	0.342	1.03	0.471	0.767	0.854	0.966	0.765
ACCESS-CM2_CMIP6	[-]	2.40	2.40	3.17	-0.766	0.772	1.28	0.0966	0.764	0.857	0.986	0.693
ACCESS-ESM1-5_BARPA	[-]	2.56	2.55	2.62	-0.0714	0.312	0.927	0.517	0.679	0.864	0.878	0.723
ACCESS-ESM1-5_CCAM	[-]	2.67	2.71	2.62	0.0868	0.342	1.03	0.472	0.767	0.856	0.966	0.765
ACCESS-ESM1-5_CMIP6	[-]	2.85	2.85	2.94	-0.0927	0.352	3.58	0.577	0.449	0.461	0.935	0.574
CESM2_BARPA	[-]	2.71	2.70	2.62	0.0745	0.308	1.30	0.539	0.689	0.797	0.860	0.715
CESM2_CCAM	[-]	2.64	2.69	2.62	0.0623	0.344	1.91	0.490	0.678	0.684	0.966	0.699
CESM2_CMIP6	[-]	2.80	2.80	2.85	-0.0511	0.300	3.63	0.557	0.510	0.404	0.946	0.585
CMCC-ESM2_BARPA	[-]	2.64	2.63	2.62	0.0117	0.319	1.54	0.528	0.651	0.755	0.863	0.689
CMCC-ESM2_CCAM	[-]	2.49	2.54	2.62	-0.0876	0.348	1.48	0.467	0.755	0.789	0.968	0.747
CMCC-ESM2_CMIP6	[-]	2.41	2.41	2.85	-0.442	0.553	3.19	0.431	0.580	0.465	0.986	0.609
CNRM-ESM2-1_CCAM	[-]	2.59	2.64	2.62	0.0120	0.348	1.40	0.462	0.733	0.843	0.977	0.750
CNRM-ESM2-1_CMIP6	[-]	2.99	2.99	2.99	0.00173	0.396	3.48	0.403	0.550	0.381	0.981	0.573
EC-Earth3_BARPA	[-]	2.71	2.70	2.62	0.0788	0.340	2.31	0.550	0.562	0.624	0.875	0.635
EC-Earth3_CCAM	[-]	2.52	2.57	2.62	-0.0578	0.343	1.30	0.467	0.735	0.799	0.985	0.744
EC-Earth3_CMIP6	[-]	3.64	3.64	2.76	0.887	0.910	0.781	0.145	0.603	0.882	0.969	0.640
ERA5_BARPA	[-]	2.61	2.60	2.62	-0.0203	0.291	1.32	0.530	0.735	0.794	0.880	0.734
ERA5_CCAM	[-]	2.55	2.60	2.62	-0.0262	0.342	0.992	0.461	0.793	0.876	0.971	0.779
MPI-ESM1-2-HR_BARPA	[-]	2.89	2.87	2.62	0.249	0.387	1.08	0.526	0.557	0.872	0.850	0.673
MPI-ESM1-2-HR_CMIP6	[-]	3.24	3.24	2.87	0.363	0.478	1.36	0.392	0.574	0.840	0.850	0.646
NorESM2-MM_BARPA	[-]	2.72	2.71	2.62	0.0857	0.299	1.50	0.546	0.706	0.772	0.861	0.718
NorESM2-MM_CCAM	[-]	2.59	2.63	2.62	0.0115	0.351	2.16	0.480	0.664	0.644	0.972	0.685
NorESM2-MM_CMIP6	[-]	2.72	2.72	2.85	-0.129	0.405	3.63	0.421	0.541	0.384	0.383	0.454

	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	[-]	3.40
ACCESS-CM2_BARPA	[-]	3.93	3.95	3.40	0.553	0.666	1.11	0.312	0.654	0.850	0.931	0.680
ACCESS-CM2_CCAM	[-]	3.60	3.62	3.40	0.220	0.492	1.21	0.461	0.673	0.820	0.964	0.718
ACCESS-CM2_CMIP6	[-]	3.49	3.49	3.48	0.0179	0.444	1.82	0.568	0.560	0.716	0.949	0.670
ACCESS-ESM1-5_BARPA	[-]	3.85	3.86	3.40	0.464	0.588	1.09	0.345	0.724	0.866	0.925	0.717
ACCESS-ESM1-5_CCAM	[-]	3.60	3.62	3.40	0.220	0.493	1.20	0.461	0.673	0.820	0.964	0.718
ACCESS-ESM1-5_CMIP6	[-]	3.94	3.94	3.48	0.462	0.566	1.42	0.417	0.620	0.785	0.897	0.668
CESM2_BARPA	[-]	3.92	3.93	3.40	0.537	0.624	1.48	0.329	0.658	0.821	0.931	0.680
CESM2_CCAM	[-]	3.68	3.70	3.40	0.306	0.513	1.67	0.446	0.641	0.777	0.979	0.697
CESM2_CMIP6	[-]	4.35	4.35	3.45	0.900	0.953	1.63	0.229	0.567	0.785	0.923	0.614
CMCC-ESM2_BARPA	[-]	3.95	3.96	3.40	0.567	0.652	1.40	0.313	0.687	0.816	0.938	0.688
CMCC-ESM2_CCAM	[-]	3.34	3.36	3.40	-0.0388	0.453	1.46	0.513	0.701	0.791	0.953	0.732
CMCC-ESM2_CMIP6	[-]	3.05	3.05	3.45	-0.395	0.645	2.63	0.429	0.541	0.567	0.768	0.569
CNRM-ESM2-1_CCAM	[-]	3.41	3.44	3.40	0.0388	0.482	1.73	0.475	0.715	0.763	0.966	0.727
CNRM-ESM2-1_CMIP6	[-]	4.42	4.42	3.39	1.04	1.10	2.76	0.147	0.466	0.552	0.907	0.508
EC-Earth3_BARPA	[-]	3.82	3.83	3.40	0.437	0.603	1.46	0.364	0.557	0.803	0.906	0.638
EC-Earth3_CCAM	[-]	3.27	3.29	3.40	-0.106	0.455	1.42	0.537	0.651	0.800	0.935	0.715
EC-Earth3_CMIP6	[-]	4.04	4.04	3.41	0.628	0.801	2.17	0.310	0.541	0.659	0.898	0.590
ERA5_BARPA	[-]	3.83	3.85	3.40	0.451	0.557	0.917	0.353	0.766	0.870	0.914	0.734
ERA5_CCAM	[-]	3.28	3.30	3.40	-0.0925	0.412	1.16	0.548	0.751	0.813	0.940	0.760
MPI-ESM1-2-HR_BARPA	[-]	4.12	4.14	3.40	0.742	0.860	1.79	0.258	0.509	0.753	0.949	0.596
MPI-ESM1-2-HR_CMIP6	[-]	3.64	3.64	3.42	0.222	0.605	2.50	0.475	0.422	0.605	0.905	0.566
NorESM2-MM_BARPA	[-]	3.89	3.90	3.40	0.507	0.615	1.90	0.341	0.600	0.701	0.934	0.635
NorESM2-MM_CCAM	[-]	3.39	3.41	3.40	0.0105	0.430	1.61	0.525	0.692	0.776	0.944	0.726
NorESM2-MM_CMIP6	[-]	4.24	4.24	3.45	0.791	0.839	1.56	0.272	0.617	0.796	0.914	0.643

	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	[-]	3.27
ACCESS-CM2_BARPA	[-]	3.66	3.68	3.27	0.414	0.651	0.324	0.387	0.662	0.957	0.916	0.717
ACCESS-CM2_CCAM	[-]	3.34	3.39	3.27	0.119	0.486	0.540	0.516	0.657	0.908	0.985	0.745
ACCESS-CM2_CMIP6	[-]	3.42	3.42	3.36	0.0667	0.479	0.381	0.527	0.619	0.934	0.961	0.732
ACCESS-ESM1-5_BARPA	[-]	3.62	3.64	3.27	0.370	0.629	0.334	0.392	0.661	0.955	0.909	0.716
ACCESS-ESM1-5_CCAM	[-]	3.35	3.39	3.27	0.123	0.483	0.540	0.516	0.665	0.908	0.985	0.748
ACCESS-ESM1-5_CMIP6	[-]	3.89	3.89	3.42	0.472	0.607	0.203	0.465	0.530	0.970	0.888	0.677
CESM2_BARPA	[-]	3.71	3.73	3.27	0.464	0.647	0.964	0.387	0.701	0.899	0.922	0.722
CESM2_CCAM	[-]	3.77	3.82	3.27	0.556	0.721	1.17	0.381	0.616	0.890	0.987	0.698
CESM2_CMIP6	[-]	4.35	4.35	3.32	1.03	1.09	0.868	0.203	0.540	0.930	0.770	0.597
CMCC-ESM2_BARPA	[-]	3.68	3.70	3.27	0.432	0.622	0.511	0.397	0.752	0.933	0.916	0.750
CMCC-ESM2_CCAM	[-]	3.08	3.12	3.27	-0.147	0.489	1.07	0.506	0.687	0.841	0.952	0.735
CMCC-ESM2_CMIP6	[-]	3.07	3.07	3.32	-0.257	0.806	2.95	0.393	0.511	0.473	0.954	0.569
CNRM-ESM2-1_CCAM	[-]	3.20	3.25	3.27	-0.0198	0.499	1.25	0.516	0.646	0.873	0.973	0.731
CNRM-ESM2-1_CMIP6	[-]	4.08	4.08	3.37	0.711	0.791	1.95	0.371	0.609	0.732	0.981	0.660
EC-Earth3_BARPA	[-]	3.70	3.72	3.27	0.456	0.722	1.88	0.389	0.530	0.672	0.901	0.604
EC-Earth3_CCAM	[-]	3.17	3.22	3.27	-0.0490	0.477	1.05	0.516	0.690	0.839	0.959	0.739
EC-Earth3_CMIP6	[-]	3.66	3.66	3.35	0.308	0.670	1.43	0.451	0.511	0.795	0.774	0.609
ERA5_BARPA	[-]	3.64	3.66	3.27	0.393	0.626	0.764	0.391	0.693	0.882	0.899	0.712
ERA5_CCAM	[-]	3.14	3.19	3.27	-0.0789	0.451	0.868	0.520	0.727	0.851	0.973	0.760
MPI-ESM1-2-HR_BARPA	[-]	3.85	3.87	3.27	0.605	0.777	1.55	0.373	0.611	0.804	0.928	0.665
MPI-ESM1-2-HR_CMIP6	[-]	3.36	3.36	3.33	0.0293	0.635	2.33	0.421	0.529	0.642	0.889	0.602
NorESM2-MM_BARPA	[-]	3.71	3.73	3.27	0.461	0.656	1.13	0.389	0.649	0.827	0.923	0.687
NorESM2-MM_CCAM	[-]	3.32	3.37	3.27	0.101	0.479	0.878	0.508	0.716	0.863	0.971	0.755
NorESM2-MM_CMIP6	[-]	4.23	4.23	3.32	0.909	0.971	1.38	0.247	0.577	0.751	0.717	0.574

	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	[-]	3.49
ACCESS-CM2_BARPA	[-]	4.09	4.11	3.49	0.615	0.658	1.20	0.250	0.710	0.845	0.925	0.688
ACCESS-CM2_CCAM	[-]	3.16	3.18	3.49	-0.307	0.515	1.24	0.432	0.737	0.840	0.963	0.742
ACCESS-CM2_CMIP6	[-]	3.30	3.30	3.49	-0.189	0.738	1.48	0.297	0.619	0.801	0.490	0.565
ACCESS-ESM1-5_BARPA	[-]	4.00	4.02	3.49	0.526	0.578	0.992	0.300	0.706	0.882	0.929	0.705
ACCESS-ESM1-5_CCAM	[-]	3.17	3.19	3.49	-0.305	0.512	1.24	0.433	0.738	0.842	0.964	0.743
ACCESS-ESM1-5_CMIP6	[-]	3.63	3.63	3.48	0.144	0.467	0.968	0.440	0.546	0.896	0.895	0.665
CESM2_BARPA	[-]	4.13	4.14	3.49	0.652	0.696	1.31	0.231	0.711	0.848	0.915	0.683
CESM2_CCAM	[-]	3.11	3.13	3.49	-0.359	0.535	1.72	0.419	0.701	0.750	0.974	0.709
CESM2_CMIP6	[-]	4.33	4.33	3.54	0.789	0.870	2.41	0.177	0.494	0.621	0.924	0.542
CMCC-ESM2_BARPA	[-]	4.06	4.07	3.49	0.581	0.642	1.24	0.263	0.636	0.848	0.928	0.662
CMCC-ESM2_CCAM	[-]	3.02	3.04	3.49	-0.452	0.565	1.52	0.369	0.743	0.800	0.995	0.730
CMCC-ESM2_CMIP6	[-]	2.99	2.99	3.54	-0.545	0.622	1.54	0.297	0.616	0.808	0.932	0.654
CNRM-ESM2-1_CCAM	[-]	3.07	3.09	3.49	-0.399	0.526	1.13	0.393	0.764	0.863	0.994	0.756
CNRM-ESM2-1_CMIP6	[-]	3.98	3.98	3.57	0.408	0.586	1.32	0.397	0.488	0.813	0.941	0.626
EC-Earth3_BARPA	[-]	4.04	4.05	3.49	0.562	0.633	1.33	0.273	0.606	0.822	0.930	0.647
EC-Earth3_CCAM	[-]	3.02	3.04	3.49	-0.456	0.560	1.36	0.365	0.759	0.830	0.995	0.742
EC-Earth3_CMIP6	[-]	4.24	4.24	3.47	0.772	0.808	0.793	0.185	0.565	0.924	0.993	0.646
ERA5_BARPA	[-]	4.00	4.01	3.49	0.521	0.582	1.38	0.294	0.686	0.804	0.924	0.679
ERA5_CCAM	[-]	3.06	3.08	3.49	-0.416	0.530	1.29	0.386	0.804	0.834	0.993	0.764
MPI-ESM1-2-HR_BARPA	[-]	4.32	4.33	3.49	0.843	0.880	0.944	0.162	0.620	0.895	0.921	0.643
MPI-ESM1-2-HR_CMIP6	[-]	4.21	4.21	3.53	0.680	0.742	1.30	0.256	0.556	0.816	0.938	0.625
NorESM2-MM_BARPA	[-]	4.08	4.10	3.49	0.607	0.651	1.40	0.250	0.718	0.825	0.922	0.686
NorESM2-MM_CCAM	[-]	3.09	3.11	3.49	-0.379	0.517	1.71	0.401	0.731	0.762	0.994	0.724
NorESM2-MM_CMIP6	[-]	4.17	4.17	3.54	0.627	0.709	2.52	0.257	0.543	0.598	0.956	0.580

	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	[-]	4.10
ACCESS-CM2_BARPA	[-]	4.44	4.45	4.10	0.346	0.478	1.77	0.453	0.700	0.724	0.772	0.670
ACCESS-CM2_CCAM	[-]	4.05	4.06	4.10	-0.0435	0.448	1.35	0.472	0.655	0.813	0.841	0.687
ACCESS-CM2_CMIP6	[-]	4.82	4.82	4.09	0.733	0.799	1.54	0.295	0.582	0.769	0.920	0.630
ACCESS-ESM1-5_BARPA	[-]	4.38	4.38	4.10	0.278	0.448	1.96	0.467	0.703	0.698	0.762	0.667
ACCESS-ESM1-5_CCAM	[-]	4.05	4.06	4.10	-0.0437	0.448	1.34	0.473	0.656	0.814	0.841	0.688
ACCESS-ESM1-5_CMIP6	[-]	5.08	5.08	4.11	0.970	1.04	2.32	0.165	0.457	0.624	0.931	0.527
CESM2_BARPA	[-]	4.57	4.58	4.10	0.477	0.549	1.74	0.400	0.707	0.743	0.843	0.680
CESM2_CCAM	[-]	4.02	4.02	4.10	-0.0788	0.430	2.30	0.502	0.660	0.635	0.846	0.661
CESM2_CMIP6	[-]	4.71	4.71	4.11	0.600	0.671	2.60	0.313	0.545	0.578	0.741	0.544
CMCC-ESM2_BARPA	[-]	4.56	4.56	4.10	0.466	0.538	1.15	0.409	0.720	0.839	0.838	0.705
CMCC-ESM2_CCAM	[-]	3.81	3.81	4.10	-0.286	0.492	1.42	0.476	0.674	0.784	0.904	0.702
CMCC-ESM2_CMIP6	[-]	3.07	3.07	4.11	-1.04	1.06	1.82	0.152	0.730	0.710	0.547	0.574
CNRM-ESM2-1_CCAM	[-]	3.83	3.84	4.10	-0.263	0.460	1.48	0.494	0.713	0.798	0.884	0.720
CNRM-ESM2-1_CMIP6	[-]	4.48	4.48	4.12	0.366	0.523	1.88	0.449	0.568	0.743	0.851	0.636
EC-Earth3_BARPA	[-]	4.42	4.42	4.10	0.318	0.494	2.11	0.461	0.604	0.673	0.749	0.618
EC-Earth3_CCAM	[-]	3.74	3.75	4.10	-0.353	0.499	1.40	0.490	0.685	0.806	0.867	0.707
EC-Earth3_CMIP6	[-]	3.92	3.92	4.10	-0.181	0.533	1.76	0.438	0.681	0.731	0.896	0.685
ERA5_BARPA	[-]	4.41	4.41	4.10	0.311	0.441	1.35	0.460	0.780	0.799	0.777	0.719
ERA5_CCAM	[-]	3.84	3.84	4.10	-0.256	0.447	1.53	0.493	0.757	0.759	0.914	0.736
MPI-ESM1-2-HR_BARPA	[-]	4.60	4.60	4.10	0.497	0.590	1.94	0.397	0.632	0.705	0.773	0.628
MPI-ESM1-2-HR_CMIP6	[-]	3.91	3.91	4.10	-0.189	0.486	1.81	0.554	0.490	0.746	0.658	0.588
NorESM2-MM_BARPA	[-]	4.52	4.53	4.10	0.427	0.546	2.09	0.426	0.613	0.684	0.820	0.631
NorESM2-MM_CCAM	[-]	3.90	3.90	4.10	-0.198	0.434	1.63	0.503	0.707	0.760	0.888	0.713
NorESM2-MM_CMIP6	[-]	4.66	4.66	4.11	0.552	0.624	2.54	0.345	0.571	0.578	0.755	0.564

	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	[-]	4.49
ACCESS-CM2_BARPA	[-]	4.83	4.83	4.49	0.336	0.490	1.22	0.548	0.732	0.860	0.715	0.717
ACCESS-CM2_CCAM	[-]	4.37	4.37	4.49	-0.117	0.511	1.06	0.487	0.677	0.895	0.768	0.701
ACCESS-CM2_CMIP6	[-]	5.33	5.33	4.50	0.835	0.960	1.05	0.294	0.559	0.909	0.885	0.641
ACCESS-ESM1-5_BARPA	[-]	4.75	4.75	4.49	0.259	0.466	0.856	0.545	0.738	0.887	0.739	0.730
ACCESS-ESM1-5_CCAM	[-]	4.37	4.38	4.49	-0.116	0.512	1.05	0.487	0.676	0.894	0.769	0.700
ACCESS-ESM1-5_CMIP6	[-]	5.25	5.25	4.53	0.724	0.994	1.10	0.279	0.440	0.848	0.915	0.585
CESM2_BARPA	[-]	4.97	4.97	4.49	0.479	0.557	1.22	0.510	0.724	0.837	0.780	0.715
CESM2_CCAM	[-]	4.19	4.19	4.49	-0.297	0.543	1.45	0.458	0.733	0.793	0.733	0.690
CESM2_CMIP6	[-]	5.02	5.02	4.51	0.511	0.656	1.40	0.449	0.596	0.807	0.889	0.668
CMCC-ESM2_BARPA	[-]	4.95	4.95	4.49	0.460	0.554	1.07	0.531	0.699	0.863	0.807	0.720
CMCC-ESM2_CCAM	[-]	4.21	4.22	4.49	-0.274	0.544	1.02	0.453	0.731	0.870	0.798	0.717
CMCC-ESM2_CMIP6	[-]	3.58	3.58	4.51	-0.929	0.997	1.09	0.291	0.716	0.856	0.994	0.715
CNRM-ESM2-1_CCAM	[-]	4.16	4.16	4.49	-0.333	0.555	1.02	0.443	0.773	0.896	0.742	0.725
CNRM-ESM2-1_CMIP6	[-]	4.76	4.76	4.54	0.220	0.562	1.04	0.535	0.534	0.890	0.921	0.683
EC-Earth3_BARPA	[-]	4.79	4.78	4.49	0.293	0.503	1.34	0.533	0.682	0.804	0.692	0.679
EC-Earth3_CCAM	[-]	4.14	4.14	4.49	-0.353	0.575	0.900	0.439	0.731	0.895	0.747	0.709
EC-Earth3_CMIP6	[-]	4.51	4.51	4.50	0.0103	0.494	0.910	0.519	0.715	0.870	0.934	0.750
ERA5_BARPA	[-]	4.83	4.83	4.49	0.334	0.452	0.756	0.551	0.821	0.905	0.728	0.765
ERA5_CCAM	[-]	4.26	4.26	4.49	-0.229	0.506	0.640	0.467	0.795	0.922	0.795	0.755
MPI-ESM1-2-HR_BARPA	[-]	4.99	4.99	4.49	0.494	0.562	1.01	0.504	0.771	0.868	0.694	0.722
MPI-ESM1-2-HR_CMIP6	[-]	4.35	4.35	4.49	-0.139	0.561	0.937	0.490	0.602	0.916	0.717	0.666
NorESM2-MM_BARPA	[-]	4.88	4.88	4.49	0.393	0.529	1.37	0.546	0.676	0.807	0.739	0.689
NorESM2-MM_CCAM	[-]	4.23	4.23	4.49	-0.257	0.553	1.45	0.466	0.658	0.789	0.775	0.669
NorESM2-MM_CMIP6	[-]	4.69	4.69	4.51	0.186	0.514	1.87	0.536	0.588	0.731	0.863	0.661

	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	[-]	3.50
ACCESS-CM2_BARPA	[-]	3.85	3.93	3.50	0.431	0.632	0.399	0.416	0.541	0.969	0.996	0.693
ACCESS-CM2_CCAM	[-]	3.82	3.98	3.50	0.482	0.684	0.880	0.423	0.586	0.928	0.993	0.703
ACCESS-CM2_CMIP6	[-]	3.68	3.68	4.11	-0.433	0.563	0.00	0.441	0.570	1.00	1.00	0.716
ACCESS-ESM1-5_BARPA	[-]	4.00	4.08	3.50	0.579	0.881	0.318	0.338	0.335	0.979	0.996	0.597
ACCESS-ESM1-5_CCAM	[-]	3.82	3.98	3.50	0.481	0.684	0.880	0.424	0.585	0.928	0.993	0.703
ACCESS-ESM1-5_CMIP6	[-]	5.96	5.96	5.60	0.360	0.941	1.02	0.573	0.261	0.933	1.00	0.605
CESM2_BARPA	[-]	3.81	3.89	3.50	0.387	0.687	1.02	0.440	0.422	0.914	0.996	0.639
CESM2_CCAM	[-]	3.81	3.98	3.50	0.485	0.786	1.10	0.427	0.419	0.909	0.993	0.633
CESM2_CMIP6	[-]	5.23	5.23	4.14	1.09	1.34	1.02	0.177	0.299	0.933	0.932	0.528
CMCC-ESM2_BARPA	[-]	3.65	3.72	3.50	0.225	0.490	0.679	0.538	0.580	0.948	0.996	0.728
CMCC-ESM2_CCAM	[-]	3.64	3.80	3.50	0.299	0.600	0.858	0.495	0.587	0.936	0.988	0.718
CMCC-ESM2_CMIP6	[-]	5.09	5.09	4.14	0.950	1.11	1.02	0.532	0.512	0.933	0.609	0.620
CNRM-ESM2-1_CCAM	[-]	3.85	4.03	3.50	0.530	0.720	0.698	0.408	0.589	0.954	0.990	0.706
CNRM-ESM2-1_CMIP6	[-]	4.66	4.66	4.63	0.0311	0.289	1.02	0.875	0.607	0.933	0.922	0.789
EC-Earth3_BARPA	[-]	3.59	3.66	3.50	0.161	0.454	0.339	0.573	0.603	0.978	0.990	0.749
EC-Earth3_CCAM	[-]	3.61	3.77	3.50	0.274	0.569	0.319	0.491	0.640	0.979	0.993	0.748
EC-Earth3_CMIP6	[-]	4.37	4.37	3.71	0.664	0.725	0.335	0.318	0.621	0.978	0.930	0.694
ERA5_BARPA	[-]	3.51	3.58	3.50	0.0759	0.351	0.499	0.597	0.796	0.967	0.989	0.829
ERA5_CCAM	[-]	3.54	3.69	3.50	0.187	0.482	0.420	0.508	0.813	0.970	0.992	0.819
MPI-ESM1-2-HR_BARPA	[-]	4.21	4.29	3.50	0.792	0.940	0.318	0.242	0.455	0.979	0.997	0.626
MPI-ESM1-2-HR_CMIP6	[-]	3.94	3.94	3.58	0.357	0.601	0.00	0.400	0.537	1.00	0.789	0.653
NorESM2-MM_BARPA	[-]	3.66	3.74	3.50	0.237	0.461	0.399	0.527	0.644	0.969	0.997	0.756
NorESM2-MM_CCAM	[-]	3.66	3.82	3.50	0.325	0.600	0.998	0.464	0.600	0.916	0.994	0.715
NorESM2-MM_CMIP6	[-]	4.24	4.24	4.14	0.0949	0.592	0.512	0.419	0.623	0.966	0.512	0.629

	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	[-]	3.74
ACCESS-CM2_BARPA	[-]	4.03	4.16	3.74	0.422	0.595	0.536	0.473	0.541	0.957	0.989	0.700
ACCESS-CM2_CCAM	[-]	4.15	4.34	3.74	0.601	0.841	1.01	0.369	0.593	0.907	0.990	0.690
ACCESS-CM2_CMIP6	[-]	4.51	4.51	4.92	-0.416	0.751	1.02	0.540	0.396	0.933	1.00	0.653
ACCESS-ESM1-5_BARPA	[-]	4.19	4.31	3.74	0.572	0.871	0.389	0.393	0.335	0.969	0.988	0.604
ACCESS-ESM1-5_CCAM	[-]	4.15	4.33	3.74	0.598	0.841	1.01	0.370	0.590	0.907	0.990	0.689
ACCESS-ESM1-5_CMIP6	[-]	4.84	4.84	3.85	0.991	1.33	0.00	0.407	0.271	1.00	0.941	0.578
CESM2_BARPA	[-]	4.02	4.14	3.74	0.406	0.688	0.942	0.486	0.429	0.911	0.988	0.648
CESM2_CCAM	[-]	4.17	4.36	3.74	0.625	0.966	1.23	0.359	0.414	0.883	0.989	0.612
CESM2_CMIP6	[-]	4.20	4.20	4.03	0.168	0.714	0.683	0.567	0.391	0.955	0.995	0.660
CMCC-ESM2_BARPA	[-]	3.82	3.94	3.74	0.209	0.481	0.698	0.600	0.567	0.938	0.987	0.732
CMCC-ESM2_CCAM	[-]	3.94	4.13	3.74	0.394	0.751	1.21	0.412	0.583	0.894	0.991	0.692
CMCC-ESM2_CMIP6	[-]	4.79	4.79	4.03	0.757	1.63	0.678	0.0644	0.441	0.955	0.621	0.504
CNRM-ESM2-1_CCAM	[-]	4.22	4.40	3.74	0.669	0.905	0.694	0.345	0.625	0.952	0.984	0.706
CNRM-ESM2-1_CMIP6	[-]	4.62	4.62	4.55	0.0731	0.589	1.02	0.505	0.591	0.933	0.973	0.718
EC-Earth3_BARPA	[-]	3.74	3.86	3.74	0.129	0.440	0.275	0.625	0.585	0.982	0.993	0.754
EC-Earth3_CCAM	[-]	3.96	4.14	3.74	0.403	0.729	0.258	0.409	0.646	0.983	0.991	0.735
EC-Earth3_CMIP6	[-]	4.51	4.51	3.94	0.571	0.701	0.506	0.396	0.618	0.967	0.881	0.696
ERA5_BARPA	[-]	3.71	3.83	3.74	0.0948	0.331	0.358	0.631	0.779	0.964	0.989	0.828
ERA5_CCAM	[-]	3.87	4.04	3.74	0.308	0.623	0.520	0.435	0.823	0.951	0.988	0.804
MPI-ESM1-2-HR_BARPA	[-]	4.42	4.55	3.74	0.814	0.929	0.389	0.271	0.468	0.969	0.976	0.631
MPI-ESM1-2-HR_CMIP6	[-]	4.89	4.89	4.39	0.500	1.09	0.00	0.508	0.602	1.00	0.735	0.689
NorESM2-MM_BARPA	[-]	3.82	3.94	3.74	0.204	0.426	0.453	0.599	0.654	0.965	0.991	0.772
NorESM2-MM_CCAM	[-]	4.02	4.20	3.74	0.461	0.757	1.39	0.407	0.600	0.861	0.991	0.692
NorESM2-MM_CMIP6	[-]	3.82	3.82	4.03	-0.206	0.567	0.683	0.474	0.632	0.955	0.910	0.721

	Download Data	Period Mean (original grids) [m s-1]	Model Period Mean (intersection) [m s-1]	Benchmark Period Mean (intersection) [m s-1]	Bias [m s-1]	RMSE [m s-1]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	2.84
ACCESS-CM2_BARPA	[-]	2.96	2.90	2.84	0.0621	0.408	0.609	0.523	0.630	0.945	0.965	0.738
ACCESS-CM2_CCAM	[-]	3.10	3.09	2.84	0.256	0.594	0.748	0.335	0.625	0.917	0.858	0.672
ACCESS-CM2_CMIP6	[-]	2.78	2.78	3.85	-1.07	1.11	1.34	0.0831	0.654	0.811	0.998	0.640
ACCESS-ESM1-5_BARPA	[-]	2.92	2.86	2.84	0.0183	0.426	0.432	0.511	0.593	0.968	0.970	0.727
ACCESS-ESM1-5_CCAM	[-]	3.10	3.09	2.84	0.255	0.593	0.748	0.335	0.624	0.917	0.859	0.672
ACCESS-ESM1-5_CMIP6	[-]	3.57	3.57	3.67	-0.0956	0.241	1.01	0.709	0.647	0.894	0.926	0.765
CESM2_BARPA	[-]	2.94	2.88	2.84	0.0400	0.408	0.649	0.522	0.643	0.937	0.968	0.742
CESM2_CCAM	[-]	3.09	3.08	2.84	0.244	0.614	0.738	0.348	0.516	0.919	0.870	0.634
CESM2_CMIP6	[-]	3.48	3.48	3.52	-0.0426	0.525	1.35	0.445	0.545	0.811	0.897	0.648
CMCC-ESM2_BARPA	[-]	2.90	2.82	2.84	-0.0158	0.386	0.649	0.499	0.698	0.938	0.966	0.760
CMCC-ESM2_CCAM	[-]	2.95	2.93	2.84	0.0950	0.525	0.861	0.388	0.664	0.912	0.862	0.698
CMCC-ESM2_CMIP6	[-]	3.61	3.61	3.52	0.0836	0.528	2.04	0.409	0.563	0.694	0.990	0.644
CNRM-ESM2-1_CCAM	[-]	3.03	3.02	2.84	0.180	0.542	1.19	0.362	0.698	0.881	0.862	0.700
CNRM-ESM2-1_CMIP6	[-]	3.20	3.20	3.35	-0.143	0.288	1.35	0.584	0.667	0.872	0.969	0.752
EC-Earth3_BARPA	[-]	2.90	2.83	2.84	-0.00982	0.397	0.511	0.501	0.662	0.959	0.971	0.751
EC-Earth3_CCAM	[-]	2.95	2.94	2.84	0.0997	0.510	0.610	0.393	0.685	0.941	0.856	0.712
EC-Earth3_CMIP6	[-]	3.92	3.92	2.92	1.00	1.03	0.757	0.136	0.562	0.931	0.923	0.623
ERA5_BARPA	[-]	2.81	2.74	2.84	-0.102	0.381	0.756	0.470	0.749	0.925	0.973	0.773
ERA5_CCAM	[-]	2.92	2.91	2.84	0.0718	0.482	0.413	0.403	0.798	0.964	0.848	0.762
MPI-ESM1-2-HR_BARPA	[-]	3.26	3.19	2.84	0.354	0.539	0.673	0.459	0.532	0.950	0.948	0.684
MPI-ESM1-2-HR_CMIP6	[-]	3.05	3.05	2.89	0.161	0.465	1.37	0.401	0.540	0.869	0.771	0.624
NorESM2-MM_BARPA	[-]	2.91	2.85	2.84	0.00674	0.377	0.581	0.504	0.719	0.945	0.965	0.770
NorESM2-MM_CCAM	[-]	2.97	2.96	2.84	0.120	0.527	0.698	0.393	0.653	0.927	0.856	0.696
NorESM2-MM_CMIP6	[-]	3.59	3.59	3.52	0.0655	0.507	1.35	0.407	0.611	0.811	0.936	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	[-]	3.76
ACCESS-CM2_BARPA	[-]	4.62	4.66	3.76	0.904	0.970	0.354	0.207	0.574	0.949	0.959	0.653
ACCESS-CM2_CCAM	[-]	2.99	3.04	3.76	-0.718	0.791	0.354	0.253	0.752	0.949	0.994	0.740
ACCESS-CM2_CMIP6	[-]	4.48	4.48	4.53	-0.0564	0.821	0.00	0.359	0.480	1.00	0.620	0.588
ACCESS-ESM1-5_BARPA	[-]	4.56	4.60	3.76	0.845	0.940	0.366	0.229	0.526	0.948	0.964	0.638
ACCESS-ESM1-5_CCAM	[-]	3.00	3.05	3.76	-0.714	0.787	0.354	0.255	0.752	0.949	0.994	0.740
ACCESS-ESM1-5_CMIP6	[-]	3.60	3.60	3.70	-0.101	0.496	0.00	0.320	0.670	1.00	0.0303	0.538
CESM2_BARPA	[-]	4.59	4.63	3.76	0.875	0.953	0.354	0.218	0.566	0.949	0.971	0.654
CESM2_CCAM	[-]	2.95	3.00	3.76	-0.763	0.859	0.378	0.233	0.622	0.947	0.992	0.683
CESM2_CMIP6	[-]	5.07	5.07	4.23	0.837	1.06	1.23	0.263	0.359	0.798	0.932	0.542
CMCC-ESM2_BARPA	[-]	4.45	4.50	3.76	0.737	0.814	1.05	0.254	0.637	0.821	0.975	0.665
CMCC-ESM2_CCAM	[-]	2.92	2.96	3.76	-0.796	0.829	0.413	0.232	0.799	0.938	0.993	0.752
CMCC-ESM2_CMIP6	[-]	4.03	4.03	4.23	-0.207	0.542	0.823	0.390	0.677	0.848	0.986	0.716
CNRM-ESM2-1_CCAM	[-]	3.00	3.05	3.76	-0.711	0.764	1.88	0.258	0.761	0.773	0.995	0.710
CNRM-ESM2-1_CMIP6	[-]	5.07	5.07	4.97	0.0936	0.275	2.03	0.860	0.661	0.749	1.00	0.786
EC-Earth3_BARPA	[-]	4.47	4.52	3.76	0.758	0.845	0.950	0.244	0.596	0.883	0.964	0.656
EC-Earth3_CCAM	[-]	2.92	2.96	3.76	-0.797	0.826	0.516	0.232	0.816	0.939	0.993	0.759
EC-Earth3_CMIP6	[-]	4.58	4.58	4.06	0.526	0.705	0.848	0.289	0.594	0.944	0.709	0.626
ERA5_BARPA	[-]	4.42	4.47	3.76	0.708	0.781	1.86	0.262	0.687	0.676	0.970	0.656
ERA5_CCAM	[-]	2.93	2.97	3.76	-0.785	0.816	0.366	0.233	0.827	0.941	0.994	0.764
MPI-ESM1-2-HR_BARPA	[-]	4.88	4.92	3.76	1.16	1.22	0.531	0.138	0.493	0.939	0.944	0.602
MPI-ESM1-2-HR_CMIP6	[-]	4.94	4.94	3.87	1.07	1.15	0.203	0.166	0.432	0.987	0.596	0.522
NorESM2-MM_BARPA	[-]	4.53	4.57	3.76	0.812	0.867	0.271	0.236	0.695	0.963	0.968	0.711
NorESM2-MM_CCAM	[-]	3.00	3.05	3.76	-0.710	0.758	0.354	0.264	0.758	0.949	0.993	0.744
NorESM2-MM_CMIP6	[-]	4.64	4.64	4.23	0.408	0.730	1.23	0.289	0.502	0.798	0.749	0.568

	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	[-]	4.10
ACCESS-CM2_BARPA	[-]	4.73	4.77	4.10	0.671	0.707	2.04	0.277	0.667	0.692	0.999	0.660
ACCESS-CM2_CCAM	[-]	3.86	3.98	4.10	-0.117	0.513	1.88	0.466	0.684	0.709	0.941	0.697
ACCESS-CM2_CMIP6	[-]	5.28	5.28	5.00	0.271	0.418	3.30	0.625	0.589	0.456	0.981	0.648
ACCESS-ESM1-5_BARPA	[-]	4.63	4.67	4.10	0.574	0.626	1.44	0.328	0.641	0.779	0.998	0.677
ACCESS-ESM1-5_CCAM	[-]	3.86	3.98	4.10	-0.113	0.513	1.73	0.468	0.678	0.722	0.942	0.698
ACCESS-ESM1-5_CMIP6	[-]	4.65	4.65	3.91	0.739	0.845	2.37	0.203	0.410	0.665	0.908	0.519
CESM2_BARPA	[-]	4.76	4.80	4.10	0.701	0.748	1.70	0.259	0.627	0.725	0.998	0.647
CESM2_CCAM	[-]	3.75	3.88	4.10	-0.222	0.543	2.04	0.453	0.646	0.662	0.940	0.669
CESM2_CMIP6	[-]	4.96	4.96	4.30	0.657	0.801	2.90	0.268	0.529	0.509	0.697	0.507
CMCC-ESM2_BARPA	[-]	4.67	4.71	4.10	0.615	0.667	1.35	0.301	0.621	0.830	0.998	0.674
CMCC-ESM2_CCAM	[-]	3.63	3.75	4.10	-0.351	0.545	1.41	0.430	0.683	0.774	0.980	0.710
CMCC-ESM2_CMIP6	[-]	3.95	3.95	4.30	-0.349	0.526	1.74	0.547	0.539	0.739	0.971	0.667
CNRM-ESM2-1_CCAM	[-]	3.68	3.81	4.10	-0.292	0.499	1.14	0.449	0.752	0.862	0.972	0.757
CNRM-ESM2-1_CMIP6	[-]	4.75	4.75	4.39	0.354	0.658	1.43	0.360	0.508	0.858	0.989	0.644
EC-Earth3_BARPA	[-]	4.66	4.69	4.10	0.596	0.664	1.35	0.311	0.581	0.785	0.995	0.651
EC-Earth3_CCAM	[-]	3.61	3.73	4.10	-0.367	0.546	1.23	0.426	0.706	0.815	0.982	0.727
EC-Earth3_CMIP6	[-]	5.28	5.28	4.40	0.875	0.944	0.762	0.236	0.525	0.905	0.992	0.637
ERA5_BARPA	[-]	4.65	4.69	4.10	0.589	0.624	1.10	0.315	0.694	0.832	0.997	0.707
ERA5_CCAM	[-]	3.68	3.81	4.10	-0.289	0.505	1.22	0.447	0.747	0.806	0.965	0.742
MPI-ESM1-2-HR_BARPA	[-]	4.92	4.96	4.10	0.864	0.890	1.97	0.188	0.661	0.718	0.998	0.645
MPI-ESM1-2-HR_CMIP6	[-]	5.11	5.11	4.25	0.864	0.921	1.81	0.255	0.550	0.761	0.997	0.623
NorESM2-MM_BARPA	[-]	4.72	4.76	4.10	0.663	0.695	1.19	0.279	0.685	0.818	0.999	0.693
NorESM2-MM_CCAM	[-]	3.69	3.82	4.10	-0.279	0.514	1.31	0.460	0.678	0.794	0.976	0.717
NorESM2-MM_CMIP6	[-]	4.86	4.86	4.30	0.565	0.671	3.46	0.410	0.539	0.396	0.964	0.569

	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	[-]	4.22
ACCESS-CM2_BARPA	[-]	4.71	4.74	4.22	0.524	0.605	1.03	0.362	0.610	0.843	0.981	0.682
ACCESS-CM2_CCAM	[-]	4.00	4.06	4.22	-0.161	0.475	0.767	0.528	0.625	0.905	0.928	0.722
ACCESS-CM2_CMIP6	[-]	4.68	4.68	4.44	0.247	0.537	1.86	0.488	0.603	0.695	0.967	0.671
ACCESS-ESM1-5_BARPA	[-]	4.63	4.65	4.22	0.436	0.532	0.392	0.418	0.617	0.945	0.979	0.715
ACCESS-ESM1-5_CCAM	[-]	4.01	4.06	4.22	-0.157	0.475	0.699	0.529	0.622	0.913	0.929	0.723
ACCESS-ESM1-5_CMIP6	[-]	4.67	4.67	4.45	0.221	0.657	1.07	0.403	0.505	0.838	0.833	0.617
CESM2_BARPA	[-]	4.81	4.84	4.22	0.621	0.697	1.21	0.312	0.566	0.834	0.995	0.655
CESM2_CCAM	[-]	3.89	3.95	4.22	-0.272	0.506	1.13	0.507	0.616	0.852	0.942	0.707
CESM2_CMIP6	[-]	5.17	5.17	4.30	0.873	0.963	1.30	0.211	0.504	0.847	0.905	0.594
CMCC-ESM2_BARPA	[-]	4.81	4.84	4.22	0.623	0.718	0.863	0.310	0.525	0.891	0.990	0.648
CMCC-ESM2_CCAM	[-]	3.87	3.93	4.22	-0.292	0.522	1.03	0.494	0.628	0.880	0.917	0.710
CMCC-ESM2_CMIP6	[-]	4.12	4.12	4.30	-0.175	0.713	0.825	0.368	0.495	0.922	0.738	0.604
CNRM-ESM2-1_CCAM	[-]	3.78	3.83	4.22	-0.385	0.505	1.04	0.471	0.710	0.850	0.960	0.740
CNRM-ESM2-1_CMIP6	[-]	4.90	4.90	4.44	0.465	0.810	0.657	0.344	0.468	0.927	0.970	0.635
EC-Earth3_BARPA	[-]	4.72	4.75	4.22	0.529	0.612	0.485	0.360	0.617	0.928	0.981	0.701
EC-Earth3_CCAM	[-]	3.79	3.85	4.22	-0.371	0.522	0.499	0.472	0.680	0.924	0.953	0.742
EC-Earth3_CMIP6	[-]	4.93	4.93	4.26	0.670	0.766	0.923	0.305	0.520	0.844	0.995	0.637
ERA5_BARPA	[-]	4.72	4.75	4.22	0.529	0.567	0.502	0.363	0.757	0.926	0.984	0.757
ERA5_CCAM	[-]	3.86	3.91	4.22	-0.306	0.466	0.583	0.493	0.770	0.918	0.928	0.776
MPI-ESM1-2-HR_BARPA	[-]	4.84	4.87	4.22	0.654	0.689	1.78	0.296	0.716	0.767	0.984	0.696
MPI-ESM1-2-HR_CMIP6	[-]	4.93	4.93	4.26	0.679	0.829	0.508	0.287	0.518	0.933	0.996	0.650
NorESM2-MM_BARPA	[-]	4.75	4.78	4.22	0.565	0.643	0.848	0.343	0.599	0.902	0.994	0.687
NorESM2-MM_CCAM	[-]	3.83	3.88	4.22	-0.335	0.510	0.685	0.491	0.669	0.909	0.947	0.737
NorESM2-MM_CMIP6	[-]	5.21	5.21	4.30	0.915	1.02	1.65	0.184	0.523	0.792	0.933	0.591

	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	[-]	3.41
ACCESS-CM2_BARPA	[-]	4.01	4.11	3.41	0.702	0.880	1.82	0.367	0.652	0.754	0.987	0.682
ACCESS-CM2_CCAM	[-]	3.34	3.47	3.41	0.0608	0.527	1.86	0.572	0.709	0.744	0.938	0.734
ACCESS-CM2_CMIP6	[-]	4.96	4.96	4.38	0.586	0.813	1.84	0.401	0.668	0.758	0.888	0.676
ACCESS-ESM1-5_BARPA	[-]	3.91	4.01	3.41	0.601	0.786	1.25	0.398	0.684	0.853	0.991	0.722
ACCESS-ESM1-5_CCAM	[-]	3.34	3.47	3.41	0.0606	0.526	1.86	0.572	0.710	0.744	0.938	0.735
ACCESS-ESM1-5_CMIP6	[-]	4.93	4.93	4.28	0.654	1.29	1.02	0.308	0.675	0.933	0.388	0.595
CESM2_BARPA	[-]	3.85	3.95	3.41	0.541	0.733	1.60	0.422	0.686	0.793	0.994	0.716
CESM2_CCAM	[-]	3.42	3.55	3.41	0.147	0.529	1.60	0.562	0.711	0.810	0.962	0.751
CESM2_CMIP6	[-]	4.17	4.17	3.92	0.258	1.08	1.47	0.323	0.683	0.804	0.364	0.571
CMCC-ESM2_BARPA	[-]	3.95	4.05	3.41	0.641	0.788	1.06	0.389	0.710	0.891	0.994	0.739
CMCC-ESM2_CCAM	[-]	3.15	3.28	3.41	-0.127	0.522	1.32	0.590	0.707	0.846	0.926	0.755
CMCC-ESM2_CMIP6	[-]	4.49	4.49	3.92	0.575	0.743	1.59	0.466	0.690	0.788	0.948	0.716
CNRM-ESM2-1_CCAM	[-]	3.38	3.52	3.41	0.108	0.484	1.10	0.576	0.743	0.894	0.969	0.785
CNRM-ESM2-1_CMIP6	[-]	5.47	5.47	4.25	1.22	1.44	1.54	0.278	0.411	0.827	0.863	0.558
EC-Earth3_BARPA	[-]	3.71	3.81	3.41	0.401	0.686	1.66	0.471	0.605	0.774	0.988	0.688
EC-Earth3_CCAM	[-]	3.03	3.16	3.41	-0.247	0.539	1.74	0.573	0.728	0.775	0.912	0.743
EC-Earth3_CMIP6	[-]	4.24	4.24	3.47	0.775	1.01	1.49	0.312	0.481	0.822	0.768	0.573
ERA5_BARPA	[-]	3.81	3.91	3.41	0.506	0.668	0.719	0.429	0.815	0.908	0.994	0.792
ERA5_CCAM	[-]	3.08	3.21	3.41	-0.194	0.482	0.482	0.589	0.794	0.939	0.931	0.810
MPI-ESM1-2-HR_BARPA	[-]	4.25	4.36	3.41	0.954	1.07	1.77	0.300	0.625	0.761	0.982	0.659
MPI-ESM1-2-HR_CMIP6	[-]	4.20	4.20	4.16	0.0409	0.919	1.57	0.444	0.578	0.793	0.790	0.636
NorESM2-MM_BARPA	[-]	3.69	3.78	3.41	0.376	0.678	1.81	0.472	0.628	0.752	0.990	0.694
NorESM2-MM_CCAM	[-]	3.24	3.37	3.41	-0.0379	0.502	1.03	0.592	0.702	0.911	0.943	0.770
NorESM2-MM_CMIP6	[-]	4.38	4.38	3.92	0.466	0.848	0.912	0.404	0.689	0.926	0.683	0.678

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 single-levels reanalysis 10m_u_component_of_wind 19790101-19790131

History:: Wed May 15 13:25:01 2024: /g/data/xv83/users/bxn599/miniconda3/envs/icclim/bin/python /g/data/xv83/users/bxn599/ACS/indices/run_icclim.py --slice_mode month --verbose --start_date 1979-01-01 --end_date 2021-12-31 --input_files /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19790101-19790131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19790201-19790228.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19790301-19790331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19790401-19790430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19790501-19790531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19790601-19790630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19790701-19790731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19790801-19790831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19790901-19790930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19791001-19791031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19791101-19791130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19791201-19791231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19800101-19800131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19800201-19800229.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19800301-19800331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19800401-19800430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19800501-19800531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19800601-19800630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19800701-19800731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19800801-19800831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19800901-19800930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19801001-19801031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19801101-19801130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19801201-19801231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19810101-19810131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19810201-19810228.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19810301-19810331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19810401-19810430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19810501-19810531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19810601-19810630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19810701-19810731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19810801-19810831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19810901-19810930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19811001-19811031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19811101-19811130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19811201-19811231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19820101-19820131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19820201-19820228.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19820301-19820331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19820401-19820430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19820501-19820531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19820601-19820630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19820701-19820731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19820801-19820831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19820901-19820930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19821001-19821031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19821101-19821130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19821201-19821231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19830101-19830131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19830201-19830228.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19830301-19830331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19830401-19830430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19830501-19830531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19830601-19830630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19830701-19830731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19830801-19830831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19830901-19830930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19831001-19831031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19831101-19831130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19831201-19831231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19840101-19840131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19840201-19840229.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19840301-19840331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19840401-19840430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19840501-19840531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19840601-19840630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19840701-19840731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19840801-19840831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19840901-19840930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19841001-19841031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19841101-19841130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19841201-19841231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19850101-19850131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19850201-19850228.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19850301-19850331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19850401-19850430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19850501-19850531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19850601-19850630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19850701-19850731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19850801-19850831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19850901-19850930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19851001-19851031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19851101-19851130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19851201-19851231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19860101-19860131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19860201-19860228.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19860301-19860331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19860401-19860430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19860501-19860531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19860601-19860630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19860701-19860731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19860801-19860831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19860901-19860930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19861001-19861031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19861101-19861130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19861201-19861231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19870101-19870131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19870201-19870228.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19870301-19870331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19870401-19870430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19870501-19870531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19870601-19870630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19870701-19870731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19870801-19870831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19870901-19870930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19871001-19871031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19871101-19871130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19871201-19871231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19880101-19880131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19880201-19880229.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19880301-19880331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19880401-19880430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19880501-19880531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19880601-19880630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19880701-19880731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19880801-19880831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19880901-19880930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19881001-19881031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19881101-19881130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19881201-19881231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19890101-19890131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19890201-19890228.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19890301-19890331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19890401-19890430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19890501-19890531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19890601-19890630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19890701-19890731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19890801-19890831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19890901-19890930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19891001-19891031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19891101-19891130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19891201-19891231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19900101-19900131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19900201-19900228.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19900301-19900331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19900401-19900430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19900501-19900531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19900601-19900630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19900701-19900731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19900801-19900831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19900901-19900930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19901001-19901031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19901101-19901130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19901201-19901231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19910101-19910131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19910201-19910228.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19910301-19910331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19910401-19910430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19910501-19910531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19910601-19910630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19910701-19910731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19910801-19910831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19910901-19910930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19911001-19911031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19911101-19911130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19911201-19911231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19920101-19920131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19920201-19920229.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19920301-19920331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19920401-19920430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19920501-19920531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19920601-19920630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19920701-19920731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19920801-19920831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19920901-19920930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19921001-19921031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19921101-19921130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19921201-19921231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19930101-19930131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19930201-19930228.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19930301-19930331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19930401-19930430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19930501-19930531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19930601-19930630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19930701-19930731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19930801-19930831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19930901-19930930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19931001-19931031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19931101-19931130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19931201-19931231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19940101-19940131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19940201-19940228.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19940301-19940331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19940401-19940430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19940501-19940531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19940601-19940630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19940701-19940731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19940801-19940831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19940901-19940930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19941001-19941031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19941101-19941130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19941201-19941231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19950101-19950131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19950201-19950228.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19950301-19950331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19950401-19950430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19950501-19950531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19950601-19950630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19950701-19950731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19950801-19950831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19950901-19950930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19951001-19951031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19951101-19951130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19951201-19951231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19960101-19960131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19960201-19960229.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19960301-19960331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19960401-19960430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19960501-19960531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19960601-19960630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19960701-19960731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19960801-19960831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19960901-19960930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19961001-19961031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19961101-19961130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19961201-19961231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19970101-19970131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19970201-19970228.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19970301-19970331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19970401-19970430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19970501-19970531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19970601-19970630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19970701-19970731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19970801-19970831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19970901-19970930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19971001-19971031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19971101-19971130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19971201-19971231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19980101-19980131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19980201-19980228.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19980301-19980331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19980401-19980430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19980501-19980531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19980601-19980630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19980701-19980731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19980801-19980831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19980901-19980930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19981001-19981031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19981101-19981130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19981201-19981231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19990101-19990131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19990201-19990228.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19990301-19990331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19990401-19990430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19990501-19990531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19990601-19990630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19990701-19990731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19990801-19990831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19990901-19990930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19991001-19991031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19991101-19991130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_19991201-19991231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20000101-20000131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20000201-20000229.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20000301-20000331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20000401-20000430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20000501-20000531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20000601-20000630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20000701-20000731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20000801-20000831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20000901-20000930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20001001-20001031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20001101-20001130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20001201-20001231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20010101-20010131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20010201-20010228.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20010301-20010331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20010401-20010430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20010501-20010531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20010601-20010630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20010701-20010731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20010801-20010831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20010901-20010930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20011001-20011031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20011101-20011130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20011201-20011231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20020101-20020131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20020201-20020228.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20020301-20020331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20020401-20020430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20020501-20020531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20020601-20020630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20020701-20020731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20020801-20020831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20020901-20020930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20021001-20021031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20021101-20021130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20021201-20021231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20030101-20030131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20030201-20030228.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20030301-20030331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20030401-20030430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20030501-20030531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20030601-20030630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20030701-20030731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20030801-20030831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20030901-20030930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20031001-20031031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20031101-20031130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20031201-20031231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20040101-20040131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20040201-20040229.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20040301-20040331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20040401-20040430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20040501-20040531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20040601-20040630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20040701-20040731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20040801-20040831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20040901-20040930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20041001-20041031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20041101-20041130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20041201-20041231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20050101-20050131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20050201-20050228.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20050301-20050331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20050401-20050430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20050501-20050531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20050601-20050630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20050701-20050731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20050801-20050831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20050901-20050930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20051001-20051031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20051101-20051130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20051201-20051231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20060101-20060131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20060201-20060228.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20060301-20060331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20060401-20060430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20060501-20060531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20060601-20060630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20060701-20060731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20060801-20060831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20060901-20060930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20061001-20061031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20061101-20061130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20061201-20061231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20070101-20070131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20070201-20070228.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20070301-20070331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20070401-20070430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20070501-20070531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20070601-20070630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20070701-20070731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20070801-20070831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20070901-20070930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20071001-20071031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20071101-20071130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20071201-20071231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20080101-20080131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20080201-20080229.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20080301-20080331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20080401-20080430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20080501-20080531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20080601-20080630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20080701-20080731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20080801-20080831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20080901-20080930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20081001-20081031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20081101-20081130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20081201-20081231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20090101-20090131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20090201-20090228.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20090301-20090331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20090401-20090430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20090501-20090531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20090601-20090630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20090701-20090731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20090801-20090831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20090901-20090930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20091001-20091031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20091101-20091130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20091201-20091231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20100101-20100131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20100201-20100228.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20100301-20100331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20100401-20100430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20100501-20100531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20100601-20100630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20100701-20100731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20100801-20100831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20100901-20100930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20101001-20101031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20101101-20101130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20101201-20101231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20110101-20110131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20110201-20110228.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20110301-20110331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20110401-20110430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20110501-20110531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20110601-20110630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20110701-20110731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20110801-20110831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20110901-20110930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20111001-20111031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20111101-20111130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20111201-20111231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20120101-20120131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20120201-20120229.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20120301-20120331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20120401-20120430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20120501-20120531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20120601-20120630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20120701-20120731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20120801-20120831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20120901-20120930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20121001-20121031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20121101-20121130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20121201-20121231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20130101-20130131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20130201-20130228.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20130301-20130331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20130401-20130430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20130501-20130531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20130601-20130630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20130701-20130731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20130801-20130831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20130901-20130930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20131001-20131031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20131101-20131130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20131201-20131231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20140101-20140131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20140201-20140228.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20140301-20140331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20140401-20140430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20140501-20140531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20140601-20140630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20140701-20140731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20140801-20140831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20140901-20140930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20141001-20141031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20141101-20141130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20141201-20141231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20150101-20150131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20150201-20150228.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20150301-20150331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20150401-20150430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20150501-20150531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20150601-20150630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20150701-20150731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20150801-20150831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20150901-20150930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20151001-20151031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20151101-20151130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20151201-20151231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20160101-20160131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20160201-20160229.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20160301-20160331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20160401-20160430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20160501-20160531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20160601-20160630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20160701-20160731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20160801-20160831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20160901-20160930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20161001-20161031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20161101-20161130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20161201-20161231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20170101-20170131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20170201-20170228.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20170301-20170331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20170401-20170430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20170501-20170531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20170601-20170630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20170701-20170731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20170801-20170831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20170901-20170930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20171001-20171031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20171101-20171130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20171201-20171231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20180101-20180131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20180201-20180228.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20180301-20180331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20180401-20180430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20180501-20180531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20180601-20180630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20180701-20180731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20180801-20180831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20180901-20180930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20181001-20181031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20181101-20181130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20181201-20181231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20190101-20190131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20190201-20190228.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20190301-20190331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20190401-20190430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20190501-20190531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20190601-20190630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20190701-20190731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20190801-20190831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20190901-20190930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20191001-20191031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20191101-20191130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20191201-20191231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20200101-20200131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20200201-20200229.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20200301-20200331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20200401-20200430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20200501-20200531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20200601-20200630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20200701-20200731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20200801-20200831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20200901-20200930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20201001-20201031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20201101-20201130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20201201-20201231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20210101-20210131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20210201-20210228.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20210301-20210331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20210401-20210430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20210501-20210531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20210601-20210630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20210701-20210731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20210801-20210831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20210901-20210930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20211001-20211031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20211101-20211130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/si10/si10_era5_oper_sfc_20211201-20211231.nc --variable si10 --lat_bnds -54.0 14.0 --lon_bnds 88.0 208.0 --sub_daily_agg mean --drop_time_bounds FG /g/data/xv83/users/bxn599/ACS/icclim_indices_acs/era5/indices/none/none/AUS-25/ECMWF/ERA5/historical/r1i1p1f1/none/none/climdex/FG/v20240411/FG_AUS-25_ERA5_historical_r1i1p1f1_ECMWF_none_none_mon_19790101-20211231.nc

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

Conventions:: CF-1.6

Cdi:: Climate Data Interface version 2.1.0 (https://mpimet.mpg.de/cdi)

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 2.1.0 (https://mpimet.mpg.de/cdo)

Cdo_openmp_thread_number:: 14

Icclim_version:: 6.5.0

Project_id:: indices

Frequency:: climdex

Variable_id:: FG

Mean State

Temporally integrated period mean

Spatially integrated regional mean

All Models

Data Information