Mean State

Download Data
Period Mean (original grids) [m s**-1]
Model Period Mean (intersection) [m s**-1]
Benchmark Period Mean (intersection) [m s**-1]
Model Period Mean (complement) [m s**-1]
Benchmark Period Mean (complement) [m s**-1]
Bias [m s**-1]
RMSE [m s**-1]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 0.0283
ACCESS-CM2_BARPA [-] 0.0729 0.0754 0.0283 0.0472 0.449 1.49 0.861 0.730 0.767 0.975 0.813
ACCESS-CM2_CCAM [-] -0.178 -0.177 0.0283 -0.205 0.662 1.88 0.766 0.657 0.703 0.941 0.745
ACCESS-CM2_CMIP6 [-] -0.182 -0.182 0.0425 -0.225 0.567 1.25 0.810 0.703 0.839 0.939 0.799
ACCESS-ESM1-5_BARPA [-] 0.151 0.154 0.0283 0.126 0.485 1.34 0.842 0.723 0.833 0.973 0.819
ACCESS-ESM1-5_CCAM [-] 0.166 0.167 0.0283 0.139 0.567 1.60 0.818 0.686 0.784 0.966 0.788
ACCESS-ESM1-5_CMIP6 [-] -0.116 -0.116 0.0380 -0.154 0.556 1.44 0.821 0.690 0.814 0.923 0.788
CESM2_BARPA [-] 0.400 0.403 0.0283 0.375 0.698 1.56 0.717 0.669 0.783 0.927 0.753
CESM2_CCAM [-] 0.0338 0.0366 0.0283 0.00832 0.873 1.43 0.646 0.638 0.805 0.764 0.698
CMCC-ESM2_BARPA [-] 0.247 0.251 0.0283 0.222 0.589 1.31 0.816 0.676 0.833 0.950 0.790
CMCC-ESM2_CCAM [-] -0.529 -0.527 0.0283 -0.555 0.792 1.43 0.626 0.705 0.810 0.877 0.744
CMCC-ESM2_CMIP6 [-] -0.536 -0.536 0.0279 -0.564 0.727 1.39 0.639 0.723 0.807 0.893 0.757
CNRM-ESM2-1_CCAM [-] -0.157 -0.155 0.0283 -0.184 0.648 1.66 0.726 0.676 0.780 0.918 0.755
CNRM-ESM2-1_CMIP6 [-] -0.0591 -0.0591 0.0270 -0.0861 0.538 1.60 0.871 0.667 0.796 0.982 0.796
EC-Earth3_BARPA [-] 0.737 0.739 0.0283 0.711 0.826 1.05 0.580 0.738 0.874 0.871 0.760
EC-Earth3_CCAM [-] -0.0190 -0.0175 0.0283 -0.0458 0.586 1.78 0.807 0.675 0.734 0.957 0.770
EC-Earth3_CMIP6 [-] 0.0950 0.0950 0.0261 0.0689 0.519 1.41 0.867 0.687 0.803 0.977 0.804
ERA5_BARPA [-] 0.156 0.159 0.0283 0.130 0.295 0.736 0.883 0.829 0.907 0.987 0.887
ERA5_CCAM [-] -0.0191 -0.0174 0.0283 -0.0457 0.270 0.870 0.866 0.875 0.879 0.979 0.895
MPI-ESM1-2-HR_BARPA [-] 0.230 0.234 0.0283 0.205 0.502 1.41 0.838 0.721 0.802 0.964 0.809
NorESM2-MM_BARPA [-] 0.417 0.419 0.0283 0.391 0.725 1.62 0.688 0.666 0.765 0.918 0.741
NorESM2-MM_CCAM [-] -0.248 -0.247 0.0283 -0.276 0.591 1.20 0.766 0.699 0.842 0.947 0.791
NorESM2-MM_CMIP6 [-] -0.254 -0.254 0.0279 -0.282 0.633 1.14 0.745 0.693 0.851 0.905 0.777
Download Data
Period Mean (original grids) [m s**-1]
Model Period Mean (intersection) [m s**-1]
Benchmark Period Mean (intersection) [m s**-1]
Model Period Mean (complement) [m s**-1]
Benchmark Period Mean (complement) [m s**-1]
Bias [m s**-1]
RMSE [m s**-1]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] -0.289
ACCESS-CM2_BARPA [-] -0.290 -0.283 -0.289 0.00562 0.358 0.147 0.928 0.772 0.988 0.978 0.901
ACCESS-CM2_CCAM [-] -0.696 -0.692 -0.289 -0.404 0.629 0.410 0.735 0.694 0.960 0.956 0.821
ACCESS-CM2_CMIP6 [-] -0.954 -0.954 -0.208 -0.746 0.856 1.02 0.562 0.727 0.914 0.876 0.765
ACCESS-ESM1-5_BARPA [-] -0.481 -0.473 -0.289 -0.185 0.484 0.734 0.871 0.716 0.936 0.968 0.855
ACCESS-ESM1-5_CCAM [-] -0.443 -0.439 -0.289 -0.150 0.517 1.19 0.879 0.692 0.888 0.954 0.836
ACCESS-ESM1-5_CMIP6 [-] -0.698 -0.698 -0.285 -0.413 0.709 0.347 0.725 0.641 0.977 0.964 0.806
CESM2_BARPA [-] -0.156 -0.147 -0.289 0.142 0.554 1.22 0.876 0.676 0.896 0.869 0.812
CESM2_CCAM [-] -0.326 -0.321 -0.289 -0.0323 0.601 1.13 0.792 0.694 0.912 0.621 0.748
CMCC-ESM2_BARPA [-] -0.118 -0.110 -0.289 0.179 0.480 1.64 0.873 0.719 0.819 0.864 0.808
CMCC-ESM2_CCAM [-] -0.793 -0.789 -0.289 -0.501 0.647 1.12 0.688 0.743 0.912 0.816 0.785
CMCC-ESM2_CMIP6 [-] -1.17 -1.17 -0.293 -0.875 0.930 1.06 0.514 0.799 0.919 0.735 0.748
CNRM-ESM2-1_CCAM [-] 0.0813 0.0850 -0.289 0.373 0.557 0.924 0.754 0.735 0.920 0.700 0.773
CNRM-ESM2-1_CMIP6 [-] -0.131 -0.131 -0.230 0.0994 0.456 1.08 0.911 0.716 0.909 0.969 0.859
EC-Earth3_BARPA [-] 0.747 0.754 -0.289 1.04 1.19 1.11 0.451 0.644 0.903 0.275 0.577
EC-Earth3_CCAM [-] 0.257 0.259 -0.289 0.547 0.913 0.948 0.661 0.575 0.913 0.481 0.648
EC-Earth3_CMIP6 [-] 0.184 0.184 -0.295 0.478 0.783 0.808 0.692 0.622 0.930 0.464 0.671
ERA5_BARPA [-] -0.148 -0.141 -0.289 0.147 0.265 0.148 0.892 0.858 0.984 0.942 0.912
ERA5_CCAM [-] -0.172 -0.169 -0.289 0.119 0.237 0.125 0.899 0.879 0.988 0.910 0.914
MPI-ESM1-2-HR_BARPA [-] 0.0953 0.103 -0.289 0.391 0.599 1.46 0.745 0.714 0.852 0.673 0.742
NorESM2-MM_BARPA [-] 0.169 0.177 -0.289 0.465 0.569 1.26 0.705 0.784 0.880 0.586 0.744
NorESM2-MM_CCAM [-] -0.616 -0.611 -0.289 -0.322 0.478 1.87 0.779 0.778 0.777 0.895 0.804
NorESM2-MM_CMIP6 [-] -0.712 -0.712 -0.293 -0.418 0.585 1.77 0.734 0.768 0.791 0.693 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]
Model Period Mean (complement) [m s**-1]
Benchmark Period Mean (complement) [m s**-1]
Bias [m s**-1]
RMSE [m s**-1]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 0.698
ACCESS-CM2_BARPA [-] 0.547 0.544 0.698 -0.154 0.409 0.828 0.890 0.769 0.935 0.986 0.887
ACCESS-CM2_CCAM [-] 0.348 0.341 0.698 -0.357 0.650 0.933 0.769 0.681 0.920 0.962 0.830
ACCESS-CM2_CMIP6 [-] -0.0414 -0.0414 0.566 -0.607 0.761 1.33 0.637 0.715 0.876 0.842 0.731
ACCESS-ESM1-5_BARPA [-] 0.475 0.475 0.698 -0.222 0.518 0.991 0.845 0.728 0.893 0.981 0.846
ACCESS-ESM1-5_CCAM [-] 0.595 0.589 0.698 -0.108 0.606 0.918 0.868 0.661 0.884 0.987 0.835
ACCESS-ESM1-5_CMIP6 [-] 0.152 0.152 0.823 -0.671 0.965 0.786 0.625 0.624 0.885 0.785 0.688
CESM2_BARPA [-] 0.861 0.864 0.698 0.166 0.552 1.12 0.824 0.707 0.905 0.982 0.848
CESM2_CCAM [-] 1.01 1.02 0.698 0.321 0.779 1.06 0.676 0.689 0.920 0.885 0.791
CMCC-ESM2_BARPA [-] 1.07 1.07 0.698 0.373 0.664 1.25 0.751 0.686 0.884 0.966 0.824
CMCC-ESM2_CCAM [-] 0.618 0.613 0.698 -0.0847 0.430 1.02 0.870 0.766 0.917 0.949 0.871
CMCC-ESM2_CMIP6 [-] 0.123 0.123 0.618 -0.495 0.602 1.10 0.708 0.802 0.893 0.865 0.796
CNRM-ESM2-1_CCAM [-] 1.09 1.08 0.698 0.385 0.687 2.00 0.756 0.667 0.686 0.982 0.770
CNRM-ESM2-1_CMIP6 [-] 0.744 0.744 0.669 0.0746 0.625 1.94 0.903 0.639 0.688 0.972 0.792
EC-Earth3_BARPA [-] 1.68 1.68 0.698 0.984 1.17 1.15 0.487 0.640 0.902 0.953 0.737
EC-Earth3_CCAM [-] 1.25 1.25 0.698 0.549 0.915 1.35 0.670 0.589 0.854 0.974 0.752
EC-Earth3_CMIP6 [-] 0.944 0.944 0.657 0.287 0.775 1.94 0.803 0.598 0.724 0.918 0.746
ERA5_BARPA [-] 0.800 0.798 0.698 0.100 0.261 0.460 0.905 0.857 0.958 0.990 0.924
ERA5_CCAM [-] 0.946 0.938 0.698 0.241 0.313 0.394 0.840 0.887 0.964 0.986 0.911
MPI-ESM1-2-HR_BARPA [-] 0.946 0.949 0.698 0.251 0.525 1.03 0.778 0.761 0.921 0.972 0.858
NorESM2-MM_BARPA [-] 1.10 1.10 0.698 0.403 0.623 1.28 0.746 0.717 0.877 0.977 0.826
NorESM2-MM_CCAM [-] 0.590 0.586 0.698 -0.112 0.487 1.38 0.895 0.719 0.863 0.981 0.849
NorESM2-MM_CMIP6 [-] 0.421 0.421 0.618 -0.197 0.460 1.55 0.861 0.747 0.830 0.982 0.840
Download Data
Period Mean (original grids) [m s**-1]
Model Period Mean (intersection) [m s**-1]
Benchmark Period Mean (intersection) [m s**-1]
Model Period Mean (complement) [m s**-1]
Benchmark Period Mean (complement) [m s**-1]
Bias [m s**-1]
RMSE [m s**-1]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 0.610
ACCESS-CM2_BARPA [-] 0.423 0.433 0.610 -0.177 0.535 0.774 0.805 0.701 0.887 0.947 0.830
ACCESS-CM2_CCAM [-] 0.216 0.226 0.610 -0.385 0.758 1.37 0.692 0.665 0.777 0.791 0.739
ACCESS-CM2_CMIP6 [-] 0.208 0.208 0.633 -0.425 0.691 0.652 0.710 0.692 0.922 0.898 0.798
ACCESS-ESM1-5_BARPA [-] 0.667 0.677 0.610 0.0669 0.499 1.29 0.895 0.693 0.852 0.988 0.846
ACCESS-ESM1-5_CCAM [-] 0.502 0.511 0.610 -0.0994 0.615 1.84 0.852 0.644 0.740 0.949 0.785
ACCESS-ESM1-5_CMIP6 [-] 0.266 0.266 0.596 -0.331 0.741 2.57 0.760 0.612 0.607 0.925 0.709
CESM2_BARPA [-] 0.820 0.830 0.610 0.219 0.653 1.20 0.793 0.659 0.814 0.921 0.794
CESM2_CCAM [-] 1.25 1.25 0.610 0.643 1.06 0.981 0.620 0.560 0.865 0.847 0.721
CMCC-ESM2_BARPA [-] 0.824 0.834 0.610 0.223 0.722 1.24 0.746 0.650 0.800 0.850 0.769
CMCC-ESM2_CCAM [-] 0.223 0.234 0.610 -0.376 0.746 0.912 0.667 0.690 0.866 0.721 0.751
CMCC-ESM2_CMIP6 [-] 0.237 0.237 0.611 -0.374 0.670 1.29 0.725 0.676 0.791 0.868 0.765
CNRM-ESM2-1_CCAM [-] 0.722 0.735 0.610 0.124 0.652 1.88 0.745 0.669 0.721 0.833 0.739
CNRM-ESM2-1_CMIP6 [-] 0.557 0.557 0.574 -0.0170 0.520 1.88 0.872 0.677 0.724 0.964 0.794
EC-Earth3_BARPA [-] 1.23 1.24 0.610 0.632 0.809 1.16 0.635 0.709 0.840 0.926 0.774
EC-Earth3_CCAM [-] 0.694 0.703 0.610 0.0929 0.644 1.52 0.808 0.647 0.781 0.924 0.780
EC-Earth3_CMIP6 [-] 0.677 0.677 0.595 0.0818 0.610 1.73 0.869 0.636 0.748 0.972 0.785
ERA5_BARPA [-] 0.702 0.711 0.610 0.101 0.388 0.692 0.859 0.788 0.901 0.972 0.874
ERA5_CCAM [-] 0.632 0.643 0.610 0.0323 0.335 0.867 0.845 0.840 0.880 0.945 0.877
MPI-ESM1-2-HR_BARPA [-] 0.939 0.950 0.610 0.340 0.655 1.19 0.772 0.686 0.815 0.923 0.794
NorESM2-MM_BARPA [-] 0.595 0.603 0.610 -0.00759 0.730 1.35 0.733 0.625 0.783 0.877 0.756
NorESM2-MM_CCAM [-] 0.264 0.273 0.610 -0.338 0.701 1.05 0.765 0.635 0.836 0.914 0.782
NorESM2-MM_CMIP6 [-] 0.175 0.175 0.611 -0.436 0.725 0.901 0.722 0.646 0.861 0.904 0.775
Download Data
Period Mean (original grids) [m s**-1]
Model Period Mean (intersection) [m s**-1]
Benchmark Period Mean (intersection) [m s**-1]
Model Period Mean (complement) [m s**-1]
Benchmark Period Mean (complement) [m s**-1]
Bias [m s**-1]
RMSE [m s**-1]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] -0.275
ACCESS-CM2_BARPA [-] -0.288 -0.280 -0.275 -0.00581 0.356 1.69 0.939 0.776 0.744 0.972 0.848
ACCESS-CM2_CCAM [-] -0.407 -0.401 -0.275 -0.126 0.451 1.48 0.885 0.735 0.794 0.980 0.836
ACCESS-CM2_CMIP6 [-] -0.717 -0.717 -0.322 -0.394 0.604 1.16 0.744 0.732 0.861 0.910 0.803
ACCESS-ESM1-5_BARPA [-] -0.436 -0.428 -0.275 -0.153 0.450 1.21 0.892 0.739 0.848 0.944 0.843
ACCESS-ESM1-5_CCAM [-] -0.197 -0.191 -0.275 0.0832 0.383 1.59 0.918 0.765 0.788 0.978 0.851
ACCESS-ESM1-5_CMIP6 [-] -0.412 -0.412 -0.300 -0.113 0.456 1.96 0.869 0.736 0.695 0.937 0.801
CESM2_BARPA [-] -0.312 -0.304 -0.275 -0.0296 0.494 1.50 0.888 0.714 0.805 0.903 0.815
CESM2_CCAM [-] -1.24 -1.24 -0.275 -0.961 1.05 1.94 0.483 0.727 0.728 0.880 0.707
CMCC-ESM2_BARPA [-] -0.259 -0.252 -0.275 0.0221 0.348 1.09 0.909 0.785 0.875 0.953 0.870
CMCC-ESM2_CCAM [-] -0.933 -0.927 -0.275 -0.653 0.755 1.53 0.608 0.751 0.799 0.896 0.762
CMCC-ESM2_CMIP6 [-] -1.18 -1.18 -0.320 -0.864 0.943 1.67 0.521 0.773 0.765 0.862 0.735
CNRM-ESM2-1_CCAM [-] -0.277 -0.272 -0.275 0.00294 0.498 1.53 0.855 0.721 0.796 0.838 0.793
CNRM-ESM2-1_CMIP6 [-] -0.343 -0.343 -0.279 -0.0634 0.517 1.59 0.888 0.695 0.786 0.950 0.815
EC-Earth3_BARPA [-] 0.361 0.369 -0.275 0.643 0.716 1.34 0.613 0.791 0.817 0.709 0.739
EC-Earth3_CCAM [-] -0.149 -0.143 -0.275 0.131 0.506 2.06 0.865 0.715 0.671 0.829 0.764
EC-Earth3_CMIP6 [-] -0.183 -0.183 -0.304 0.121 0.480 2.12 0.862 0.724 0.657 0.896 0.778
ERA5_BARPA [-] -0.189 -0.183 -0.275 0.0918 0.193 0.960 0.918 0.894 0.867 0.983 0.913
ERA5_CCAM [-] -0.269 -0.263 -0.275 0.0116 0.211 1.04 0.916 0.891 0.854 0.914 0.893
MPI-ESM1-2-HR_BARPA [-] -0.248 -0.239 -0.275 0.0353 0.428 2.21 0.900 0.747 0.671 0.947 0.808
NorESM2-MM_BARPA [-] -0.121 -0.113 -0.275 0.162 0.392 1.44 0.860 0.779 0.805 0.932 0.837
NorESM2-MM_CCAM [-] -0.753 -0.746 -0.275 -0.472 0.562 1.58 0.699 0.799 0.780 0.941 0.804
NorESM2-MM_CMIP6 [-] -0.953 -0.953 -0.320 -0.633 0.720 1.55 0.621 0.783 0.782 0.915 0.776
Download Data
Period Mean (original grids) [m s**-1]
Model Period Mean (intersection) [m s**-1]
Benchmark Period Mean (intersection) [m s**-1]
Model Period Mean (complement) [m s**-1]
Benchmark Period Mean (complement) [m s**-1]
Bias [m s**-1]
RMSE [m s**-1]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] -0.0640
ACCESS-CM2_BARPA [-] 0.0501 0.0494 -0.0640 0.113 0.415 1.64 0.873 0.734 0.739 0.975 0.817
ACCESS-CM2_CCAM [-] -0.275 -0.276 -0.0640 -0.212 0.645 2.12 0.773 0.646 0.662 0.931 0.748
ACCESS-CM2_CMIP6 [-] -0.181 -0.181 -0.0703 -0.111 0.473 1.28 0.873 0.707 0.838 0.959 0.835
ACCESS-ESM1-5_BARPA [-] 0.152 0.151 -0.0640 0.215 0.458 1.27 0.832 0.732 0.851 0.963 0.834
ACCESS-ESM1-5_CCAM [-] 0.193 0.193 -0.0640 0.257 0.550 1.41 0.786 0.698 0.823 0.948 0.799
ACCESS-ESM1-5_CMIP6 [-] -0.150 -0.150 -0.0692 -0.0805 0.441 1.16 0.872 0.716 0.877 0.977 0.850
CESM2_BARPA [-] 0.414 0.414 -0.0640 0.478 0.724 1.53 0.675 0.656 0.794 0.906 0.738
CESM2_CCAM [-] -0.0942 -0.0935 -0.0640 -0.0295 0.816 1.35 0.655 0.641 0.822 0.772 0.722
CMCC-ESM2_BARPA [-] 0.147 0.147 -0.0640 0.211 0.575 1.24 0.840 0.655 0.854 0.961 0.816
CMCC-ESM2_CCAM [-] -0.798 -0.799 -0.0640 -0.735 0.883 1.56 0.557 0.698 0.788 0.820 0.721
CMCC-ESM2_CMIP6 [-] -0.681 -0.681 -0.0711 -0.610 0.742 1.33 0.608 0.715 0.819 0.836 0.745
CNRM-ESM2-1_CCAM [-] -0.454 -0.454 -0.0640 -0.390 0.653 1.76 0.702 0.667 0.776 0.934 0.764
CNRM-ESM2-1_CMIP6 [-] -0.158 -0.158 -0.0335 -0.125 0.526 1.68 0.878 0.658 0.796 0.984 0.816
EC-Earth3_BARPA [-] 0.693 0.692 -0.0640 0.756 0.842 1.00 0.542 0.747 0.886 0.834 0.753
EC-Earth3_CCAM [-] -0.264 -0.264 -0.0640 -0.200 0.535 1.99 0.818 0.684 0.692 0.966 0.786
EC-Earth3_CMIP6 [-] -0.0211 -0.0211 -0.0581 0.0371 0.467 1.35 0.882 0.701 0.813 0.975 0.833
ERA5_BARPA [-] 0.0773 0.0767 -0.0640 0.141 0.286 0.798 0.884 0.823 0.904 0.986 0.896
ERA5_CCAM [-] -0.209 -0.210 -0.0640 -0.146 0.252 0.974 0.864 0.884 0.864 0.971 0.898
MPI-ESM1-2-HR_BARPA [-] 0.111 0.111 -0.0640 0.175 0.457 1.46 0.863 0.718 0.793 0.978 0.831
NorESM2-MM_BARPA [-] 0.446 0.445 -0.0640 0.509 0.762 1.65 0.655 0.648 0.763 0.898 0.723
NorESM2-MM_CCAM [-] -0.349 -0.349 -0.0640 -0.285 0.573 1.04 0.761 0.696 0.869 0.939 0.809
NorESM2-MM_CMIP6 [-] -0.307 -0.307 -0.0711 -0.236 0.594 1.05 0.771 0.680 0.869 0.921 0.802
Download Data
Period Mean (original grids) [m s**-1]
Model Period Mean (intersection) [m s**-1]
Benchmark Period Mean (intersection) [m s**-1]
Model Period Mean (complement) [m s**-1]
Benchmark Period Mean (complement) [m s**-1]
Bias [m s**-1]
RMSE [m s**-1]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] -0.949
ACCESS-CM2_BARPA [-] -1.06 -1.09 -0.949 -0.138 0.584 1.52 0.873 0.705 0.780 0.971 0.807
ACCESS-CM2_CCAM [-] -0.953 -0.986 -0.949 -0.0370 0.599 1.80 0.908 0.686 0.728 0.985 0.799
ACCESS-CM2_CMIP6 [-] -0.993 -0.993 -0.663 -0.330 0.683 0.999 0.770 0.713 0.862 0.947 0.752
ACCESS-ESM1-5_BARPA [-] -1.37 -1.39 -0.949 -0.442 0.795 1.55 0.747 0.666 0.788 0.956 0.763
ACCESS-ESM1-5_CCAM [-] -0.910 -0.938 -0.949 0.0111 0.523 1.64 0.887 0.728 0.777 0.974 0.821
ACCESS-ESM1-5_CMIP6 [-] -0.919 -0.919 -0.791 -0.128 0.572 1.77 0.843 0.721 0.742 0.714 0.770
CESM2_BARPA [-] -1.37 -1.39 -0.949 -0.439 0.747 1.40 0.738 0.703 0.805 0.950 0.776
CESM2_CCAM [-] -2.17 -2.20 -0.949 -1.25 1.37 1.84 0.430 0.688 0.746 0.969 0.693
CMCC-ESM2_BARPA [-] -0.983 -1.01 -0.949 -0.0571 0.406 1.43 0.866 0.802 0.825 0.984 0.859
CMCC-ESM2_CCAM [-] -1.24 -1.27 -0.949 -0.321 0.539 1.65 0.800 0.766 0.793 0.985 0.821
CMCC-ESM2_CMIP6 [-] -1.39 -1.39 -0.708 -0.682 0.803 0.961 0.642 0.768 0.893 0.874 0.780
CNRM-ESM2-1_CCAM [-] -0.647 -0.684 -0.949 0.265 0.696 1.86 0.803 0.683 0.727 0.948 0.762
CNRM-ESM2-1_CMIP6 [-] -0.808 -0.808 -0.961 0.153 0.619 1.68 0.823 0.696 0.783 0.942 0.759
EC-Earth3_BARPA [-] -0.380 -0.406 -0.949 0.542 0.671 0.918 0.698 0.774 0.890 0.939 0.818
EC-Earth3_CCAM [-] -0.541 -0.578 -0.949 0.370 0.574 1.38 0.781 0.771 0.799 0.960 0.813
EC-Earth3_CMIP6 [-] -0.681 -0.681 -0.889 0.208 0.433 0.992 0.863 0.788 0.871 0.976 0.868
ERA5_BARPA [-] -0.801 -0.827 -0.949 0.122 0.260 1.01 0.888 0.892 0.854 0.990 0.896
ERA5_CCAM [-] -0.579 -0.614 -0.949 0.335 0.402 0.669 0.799 0.902 0.906 0.974 0.887
MPI-ESM1-2-HR_BARPA [-] -1.16 -1.18 -0.949 -0.233 0.623 1.83 0.837 0.701 0.758 0.951 0.794
NorESM2-MM_BARPA [-] -1.02 -1.05 -0.949 -0.100 0.451 1.59 0.848 0.782 0.792 0.964 0.832
NorESM2-MM_CCAM [-] -1.42 -1.45 -0.949 -0.501 0.653 1.82 0.715 0.761 0.750 0.985 0.780
NorESM2-MM_CMIP6 [-] -1.35 -1.35 -0.708 -0.646 0.785 1.66 0.649 0.752 0.781 0.930 0.754
Download Data
Period Mean (original grids) [m s**-1]
Model Period Mean (intersection) [m s**-1]
Benchmark Period Mean (intersection) [m s**-1]
Model Period Mean (complement) [m s**-1]
Benchmark Period Mean (complement) [m s**-1]
Bias [m s**-1]
RMSE [m s**-1]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] -0.978
ACCESS-CM2_BARPA [-] -0.626 -0.616 -0.978 0.362 0.630 3.43 0.756 0.675 0.408 0.983 0.727
ACCESS-CM2_CCAM [-] -0.601 -0.595 -0.978 0.382 0.756 3.45 0.742 0.606 0.390 0.986 0.704
ACCESS-CM2_CMIP6 [-] -0.816 -0.816 -0.976 0.160 0.509 2.99 0.884 0.685 0.487 0.990 0.781
ACCESS-ESM1-5_BARPA [-] -0.594 -0.585 -0.978 0.393 0.607 2.79 0.738 0.703 0.532 0.983 0.754
ACCESS-ESM1-5_CCAM [-] -0.725 -0.718 -0.978 0.260 0.696 3.55 0.818 0.631 0.391 0.940 0.696
ACCESS-ESM1-5_CMIP6 [-] -0.556 -0.556 -0.974 0.418 0.553 0.895 0.720 0.753 0.874 0.983 0.789
CESM2_BARPA [-] -0.152 -0.143 -0.978 0.835 0.972 3.14 0.531 0.700 0.455 0.780 0.665
CESM2_CCAM [-] -1.37 -1.36 -0.978 -0.384 0.690 3.51 0.735 0.672 0.366 0.974 0.701
CMCC-ESM2_BARPA [-] -0.603 -0.591 -0.978 0.387 0.536 1.76 0.747 0.761 0.763 0.943 0.808
CMCC-ESM2_CCAM [-] -0.939 -0.933 -0.978 0.0453 0.651 2.22 0.831 0.637 0.696 0.978 0.775
CMCC-ESM2_CMIP6 [-] -1.24 -1.24 -0.985 -0.259 0.450 1.88 0.795 0.777 0.749 0.984 0.809
CNRM-ESM2-1_CCAM [-] -1.47 -1.46 -0.978 -0.481 0.677 0.566 0.694 0.704 0.959 0.927 0.821
CNRM-ESM2-1_CMIP6 [-] -1.32 -1.32 -0.972 -0.349 0.681 0.568 0.765 0.639 0.958 0.944 0.809
EC-Earth3_BARPA [-] -0.798 -0.785 -0.978 0.193 0.380 0.363 0.858 0.803 0.970 0.824 0.810
EC-Earth3_CCAM [-] -1.19 -1.18 -0.978 -0.207 0.478 1.65 0.843 0.720 0.767 0.981 0.821
EC-Earth3_CMIP6 [-] -1.09 -1.09 -0.971 -0.116 0.405 0.597 0.893 0.745 0.944 0.958 0.872
ERA5_BARPA [-] -0.865 -0.853 -0.978 0.125 0.212 0.190 0.902 0.886 0.982 0.973 0.925
ERA5_CCAM [-] -0.919 -0.911 -0.978 0.0664 0.208 0.712 0.938 0.869 0.889 0.998 0.910
MPI-ESM1-2-HR_BARPA [-] -0.825 -0.813 -0.978 0.165 0.367 1.05 0.880 0.779 0.869 0.991 0.861
NorESM2-MM_BARPA [-] -0.131 -0.121 -0.978 0.857 0.996 2.42 0.520 0.680 0.612 0.771 0.681
NorESM2-MM_CCAM [-] -0.715 -0.712 -0.978 0.266 0.537 1.98 0.803 0.720 0.705 0.964 0.817
NorESM2-MM_CMIP6 [-] -0.479 -0.479 -0.985 0.506 0.657 1.01 0.679 0.748 0.871 0.933 0.819
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 [-] 1.80
ACCESS-CM2_BARPA [-] 1.88 1.89 1.80 0.0897 0.542 1.08 0.866 0.742 0.837 0.996 0.847
ACCESS-CM2_CCAM [-] 1.95 1.96 1.80 0.158 0.826 1.04 0.805 0.647 0.878 0.916 0.793
ACCESS-CM2_CMIP6 [-] 1.51 1.51 1.89 -0.381 1.13 1.02 0.795 0.545 0.933 0.949 0.777
ACCESS-ESM1-5_BARPA [-] 1.96 1.97 1.80 0.175 0.434 1.95 0.862 0.813 0.686 0.987 0.834
ACCESS-ESM1-5_CCAM [-] 1.68 1.68 1.80 -0.115 0.884 1.96 0.842 0.602 0.749 0.955 0.766
ACCESS-ESM1-5_CMIP6 [-] 1.11 1.11 1.81 -0.702 1.30 3.22 0.665 0.513 0.526 0.288 0.500
CESM2_BARPA [-] 2.33 2.34 1.80 0.538 0.703 2.66 0.717 0.758 0.529 0.981 0.748
CESM2_CCAM [-] 2.39 2.39 1.80 0.591 1.05 1.06 0.698 0.612 0.889 0.989 0.777
CMCC-ESM2_BARPA [-] 2.59 2.59 1.80 0.795 0.992 2.96 0.608 0.692 0.474 0.973 0.687
CMCC-ESM2_CCAM [-] 2.03 2.03 1.80 0.233 0.471 0.932 0.818 0.827 0.876 0.902 0.853
CMCC-ESM2_CMIP6 [-] 1.54 1.54 1.77 -0.234 0.637 3.64 0.839 0.728 0.341 0.979 0.722
CNRM-ESM2-1_CCAM [-] 2.36 2.37 1.80 0.566 0.862 0.997 0.710 0.677 0.848 0.948 0.782
CNRM-ESM2-1_CMIP6 [-] 1.94 1.94 1.76 0.181 0.486 0.338 0.901 0.771 0.978 0.998 0.896
EC-Earth3_BARPA [-] 2.55 2.54 1.80 0.741 0.860 2.57 0.628 0.769 0.546 0.977 0.734
EC-Earth3_CCAM [-] 1.99 1.98 1.80 0.182 0.741 0.743 0.819 0.675 0.906 0.971 0.824
EC-Earth3_CMIP6 [-] 1.53 1.53 1.73 -0.194 0.704 1.02 0.815 0.681 0.851 0.989 0.817
ERA5_BARPA [-] 2.08 2.08 1.80 0.285 0.479 1.74 0.838 0.793 0.698 0.997 0.827
ERA5_CCAM [-] 2.07 2.07 1.80 0.271 0.434 0.600 0.827 0.845 0.904 0.895 0.865
MPI-ESM1-2-HR_BARPA [-] 2.42 2.42 1.80 0.624 0.696 1.00 0.677 0.835 0.852 0.984 0.837
NorESM2-MM_BARPA [-] 1.97 1.97 1.80 0.175 0.644 3.13 0.887 0.678 0.439 0.998 0.742
NorESM2-MM_CCAM [-] 1.34 1.33 1.80 -0.467 0.760 1.02 0.745 0.716 0.890 0.981 0.820
NorESM2-MM_CMIP6 [-] 0.857 0.857 1.77 -0.915 1.03 2.73 0.585 0.759 0.536 0.963 0.716
Download Data
Period Mean (original grids) [m s**-1]
Model Period Mean (intersection) [m s**-1]
Benchmark Period Mean (intersection) [m s**-1]
Model Period Mean (complement) [m s**-1]
Benchmark Period Mean (complement) [m s**-1]
Bias [m s**-1]
RMSE [m s**-1]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 0.127
ACCESS-CM2_BARPA [-] 0.191 0.189 0.130 -0.223 0.0596 0.755 1.66 0.769 0.658 0.743 0.945 0.755
ACCESS-CM2_CCAM [-] -0.0113 -0.0107 0.132 -0.268 -0.143 0.911 1.95 0.725 0.611 0.694 0.916 0.711
ACCESS-CM2_CMIP6 [-] 0.194 0.211 0.133 -0.00579 0.0772 0.761 1.64 0.775 0.647 0.750 0.952 0.754
ACCESS-ESM1-5_BARPA [-] 0.110 0.127 0.130 -0.223 -0.00295 0.717 1.43 0.771 0.690 0.799 0.922 0.774
ACCESS-ESM1-5_CCAM [-] 0.0272 0.0289 0.132 -0.268 -0.103 0.842 1.62 0.756 0.632 0.766 0.924 0.742
ACCESS-ESM1-5_CMIP6 [-] 0.0396 0.0325 0.122 0.213 -0.0893 0.859 1.50 0.744 0.621 0.788 0.919 0.739
CESM2_BARPA [-] 0.555 0.560 0.130 -0.222 0.430 1.13 1.59 0.609 0.628 0.761 0.763 0.678
CESM2_CCAM [-] 0.234 0.229 0.132 -0.268 0.0968 1.03 1.54 0.635 0.679 0.780 0.737 0.702
CMCC-ESM2_BARPA [-] 0.425 0.428 0.130 -0.223 0.298 0.837 1.30 0.709 0.659 0.827 0.897 0.750
CMCC-ESM2_CCAM [-] 0.0825 0.0815 0.132 -0.268 -0.0504 0.738 1.15 0.734 0.698 0.849 0.926 0.781
CMCC-ESM2_CMIP6 [-] 0.111 0.114 0.143 0.0647 -0.0294 0.705 1.13 0.738 0.705 0.850 0.933 0.786
CNRM-ESM2-1_CCAM [-] 0.00281 0.00349 0.132 -0.268 -0.128 0.807 1.44 0.751 0.644 0.809 0.938 0.757
CNRM-ESM2-1_CMIP6 [-] 0.172 0.189 0.144 -0.118 0.0453 0.713 1.39 0.790 0.664 0.817 0.952 0.777
EC-Earth3_BARPA [-] 0.333 0.345 0.130 -0.223 0.215 0.805 1.26 0.727 0.658 0.831 0.930 0.761
EC-Earth3_CCAM [-] 0.0693 0.0703 0.132 -0.268 -0.0615 0.599 1.26 0.826 0.708 0.832 0.966 0.808
EC-Earth3_CMIP6 [-] 0.194 0.210 0.140 -0.245 0.0700 0.555 1.18 0.863 0.704 0.844 0.984 0.820
ERA5_BARPA [-] 0.133 0.143 0.130 -0.223 0.0136 0.290 0.626 0.893 0.843 0.921 0.991 0.898
ERA5_CCAM [-] 0.114 0.114 0.132 -0.268 -0.0180 0.353 0.605 0.831 0.861 0.918 0.971 0.888
MPI-ESM1-2-HR_BARPA [-] 0.396 0.409 0.130 -0.223 0.280 0.738 1.41 0.760 0.684 0.808 0.948 0.777
NorESM2-MM_BARPA [-] 0.287 0.284 0.130 -0.220 0.154 1.10 1.49 0.610 0.646 0.778 0.731 0.682
NorESM2-MM_CCAM [-] -0.138 -0.138 0.132 -0.268 -0.270 0.839 1.40 0.659 0.721 0.800 0.867 0.754
NorESM2-MM_CMIP6 [-] -0.0259 -0.0209 0.143 -0.114 -0.164 0.713 1.19 0.703 0.741 0.834 0.900 0.784
Download Data
Period Mean (original grids) [m s**-1]
Model Period Mean (intersection) [m s**-1]
Benchmark Period Mean (intersection) [m s**-1]
Model Period Mean (complement) [m s**-1]
Benchmark Period Mean (complement) [m s**-1]
Bias [m s**-1]
RMSE [m s**-1]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 0.348
ACCESS-CM2_BARPA [-] 0.252 0.245 0.356 -0.124 -0.110 0.790 0.916 0.756 0.609 0.886 0.885 0.749
ACCESS-CM2_CCAM [-] 0.210 0.208 0.354 -0.198 -0.146 1.02 1.50 0.678 0.558 0.795 0.834 0.685
ACCESS-CM2_CMIP6 [-] 0.558 0.580 0.346 0.151 0.234 0.875 0.949 0.748 0.560 0.882 0.910 0.732
ACCESS-ESM1-5_BARPA [-] 0.344 0.339 0.356 -0.124 -0.0166 0.651 1.14 0.776 0.682 0.855 0.891 0.777
ACCESS-ESM1-5_CCAM [-] 0.319 0.318 0.354 -0.198 -0.0359 0.965 1.41 0.728 0.559 0.818 0.824 0.697
ACCESS-ESM1-5_CMIP6 [-] 0.297 0.297 0.354 -0.0570 1.01 1.52 0.727 0.518 0.796 0.850 0.682
CESM2_BARPA [-] 0.668 0.665 0.356 -0.123 0.309 1.14 1.20 0.645 0.562 0.841 0.596 0.641
CESM2_CCAM [-] 0.835 0.825 0.354 -0.198 0.471 1.25 1.19 0.562 0.654 0.844 0.441 0.631
CMCC-ESM2_BARPA [-] 0.631 0.628 0.356 -0.124 0.273 0.891 1.22 0.693 0.628 0.841 0.742 0.706
CMCC-ESM2_CCAM [-] 0.142 0.140 0.354 -0.198 -0.214 0.809 1.01 0.696 0.655 0.861 0.864 0.746
CMCC-ESM2_CMIP6 [-] 0.244 0.247 0.355 0.176 -0.108 0.739 1.01 0.726 0.669 0.856 0.891 0.762
CNRM-ESM2-1_CCAM [-] 0.232 0.234 0.354 -0.198 -0.120 0.873 1.35 0.737 0.591 0.833 0.844 0.719
CNRM-ESM2-1_CMIP6 [-] 0.502 0.542 0.364 -0.181 0.179 0.726 1.25 0.778 0.627 0.852 0.931 0.763
EC-Earth3_BARPA [-] 0.407 0.403 0.356 -0.124 0.0476 0.932 1.04 0.696 0.582 0.872 0.765 0.699
EC-Earth3_CCAM [-] 0.0898 0.0906 0.354 -0.198 -0.263 0.727 1.02 0.747 0.661 0.875 0.849 0.759
EC-Earth3_CMIP6 [-] 0.423 0.445 0.353 -0.310 0.0919 0.665 0.919 0.812 0.637 0.888 0.953 0.786
ERA5_BARPA [-] 0.341 0.336 0.356 -0.124 -0.0200 0.354 0.604 0.880 0.791 0.919 0.980 0.872
ERA5_CCAM [-] 0.252 0.251 0.354 -0.198 -0.103 0.520 0.603 0.770 0.770 0.919 0.922 0.830
MPI-ESM1-2-HR_BARPA [-] 0.565 0.565 0.356 -0.124 0.210 0.879 1.24 0.713 0.603 0.850 0.792 0.712
NorESM2-MM_BARPA [-] -0.000561 -0.00796 0.356 -0.119 -0.363 1.13 1.19 0.608 0.593 0.839 0.547 0.636
NorESM2-MM_CCAM [-] -0.361 -0.362 0.354 -0.198 -0.716 1.10 1.53 0.552 0.635 0.778 0.658 0.652
NorESM2-MM_CMIP6 [-] -0.00271 -0.00316 0.355 0.00858 -0.358 0.758 1.11 0.669 0.695 0.846 0.799 0.741
Download Data
Period Mean (original grids) [m s**-1]
Model Period Mean (intersection) [m s**-1]
Benchmark Period Mean (intersection) [m s**-1]
Model Period Mean (complement) [m s**-1]
Benchmark Period Mean (complement) [m s**-1]
Bias [m s**-1]
RMSE [m s**-1]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] -0.289
ACCESS-CM2_BARPA [-] -0.290 -0.283 -0.289 0.00562 0.358 0.147 0.928 0.772 0.988 0.978 0.888
ACCESS-CM2_CCAM [-] -0.696 -0.692 -0.289 -0.404 0.629 0.410 0.735 0.694 0.960 0.956 0.808
ACCESS-CM2_CMIP6 [-] -0.954 -0.954 -0.208 -0.746 0.856 1.02 0.562 0.727 0.914 0.876 0.761
ACCESS-ESM1-5_BARPA [-] -0.481 -0.473 -0.289 -0.185 0.484 0.734 0.871 0.716 0.936 0.968 0.841
ACCESS-ESM1-5_CCAM [-] -0.443 -0.439 -0.289 -0.150 0.517 1.19 0.879 0.692 0.888 0.954 0.821
ACCESS-ESM1-5_CMIP6 [-] -0.698 -0.698 -0.285 -0.413 0.709 0.347 0.725 0.641 0.977 0.964 0.790
CESM2_BARPA [-] -0.156 -0.147 -0.289 0.142 0.554 1.22 0.876 0.676 0.896 0.869 0.798
CESM2_CCAM [-] -0.326 -0.321 -0.289 -0.0323 0.601 1.13 0.792 0.694 0.912 0.621 0.743
CMCC-ESM2_BARPA [-] -0.118 -0.110 -0.289 0.179 0.480 1.64 0.873 0.719 0.819 0.864 0.799
CMCC-ESM2_CCAM [-] -0.793 -0.789 -0.289 -0.501 0.647 1.12 0.688 0.743 0.912 0.816 0.780
CMCC-ESM2_CMIP6 [-] -1.17 -1.17 -0.293 -0.875 0.930 1.06 0.514 0.799 0.919 0.735 0.753
CNRM-ESM2-1_CCAM [-] 0.0813 0.0850 -0.289 0.373 0.557 0.924 0.754 0.735 0.920 0.700 0.769
CNRM-ESM2-1_CMIP6 [-] -0.131 -0.131 -0.230 0.0994 0.456 1.08 0.911 0.716 0.909 0.969 0.844
EC-Earth3_BARPA [-] 0.747 0.754 -0.289 1.04 1.19 1.11 0.451 0.644 0.903 0.275 0.583
EC-Earth3_CCAM [-] 0.257 0.259 -0.289 0.547 0.913 0.948 0.661 0.575 0.913 0.481 0.641
EC-Earth3_CMIP6 [-] 0.184 0.184 -0.295 0.478 0.783 0.808 0.692 0.622 0.930 0.464 0.666
ERA5_BARPA [-] -0.148 -0.141 -0.289 0.147 0.265 0.148 0.892 0.858 0.984 0.942 0.907
ERA5_CCAM [-] -0.172 -0.169 -0.289 0.119 0.237 0.125 0.899 0.879 0.988 0.910 0.911
MPI-ESM1-2-HR_BARPA [-] 0.0953 0.103 -0.289 0.391 0.599 1.46 0.745 0.714 0.852 0.673 0.740
NorESM2-MM_BARPA [-] 0.169 0.177 -0.289 0.465 0.569 1.26 0.705 0.784 0.880 0.586 0.748
NorESM2-MM_CCAM [-] -0.616 -0.611 -0.289 -0.322 0.478 1.87 0.779 0.778 0.777 0.895 0.801
NorESM2-MM_CMIP6 [-] -0.712 -0.712 -0.293 -0.418 0.585 1.77 0.734 0.768 0.791 0.693 0.751
Download Data
Period Mean (original grids) [m s**-1]
Model Period Mean (intersection) [m s**-1]
Benchmark Period Mean (intersection) [m s**-1]
Model Period Mean (complement) [m s**-1]
Benchmark Period Mean (complement) [m s**-1]
Bias [m s**-1]
RMSE [m s**-1]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 0.783
ACCESS-CM2_BARPA [-] 0.653 0.645 0.783 -0.139 0.440 0.923 0.897 0.742 0.928 0.980 0.858
ACCESS-CM2_CCAM [-] 0.341 0.328 0.783 -0.455 0.742 0.946 0.714 0.649 0.923 0.955 0.778
ACCESS-CM2_CMIP6 [-] 0.214 0.214 0.719 -0.505 0.676 1.35 0.687 0.715 0.872 0.923 0.782
ACCESS-ESM1-5_BARPA [-] 0.649 0.642 0.783 -0.142 0.500 1.04 0.885 0.708 0.898 0.991 0.838
ACCESS-ESM1-5_CCAM [-] 0.602 0.589 0.783 -0.195 0.660 0.640 0.859 0.629 0.931 0.986 0.807
ACCESS-ESM1-5_CMIP6 [-] 0.303 0.303 0.910 -0.607 0.926 0.507 0.652 0.618 0.937 0.771 0.719
CESM2_BARPA [-] 1.09 1.08 0.783 0.301 0.610 1.20 0.799 0.678 0.895 0.981 0.806
CESM2_CCAM [-] 1.41 1.41 0.783 0.622 0.825 1.06 0.633 0.677 0.922 0.976 0.777
CMCC-ESM2_BARPA [-] 1.30 1.29 0.783 0.510 0.802 1.30 0.685 0.632 0.879 0.982 0.762
CMCC-ESM2_CCAM [-] 0.731 0.715 0.783 -0.0681 0.466 1.09 0.866 0.741 0.915 0.938 0.840
CMCC-ESM2_CMIP6 [-] 0.384 0.384 0.723 -0.339 0.472 1.20 0.782 0.796 0.893 0.947 0.843
CNRM-ESM2-1_CCAM [-] 1.12 1.11 0.783 0.325 0.672 2.46 0.785 0.648 0.611 0.991 0.736
CNRM-ESM2-1_CMIP6 [-] 0.825 0.825 0.756 0.0697 0.630 2.40 0.913 0.632 0.621 0.979 0.756
EC-Earth3_BARPA [-] 1.84 1.83 0.783 1.05 1.20 1.09 0.457 0.649 0.917 0.951 0.725
EC-Earth3_CCAM [-] 1.29 1.28 0.783 0.494 0.892 1.24 0.692 0.577 0.881 0.985 0.742
EC-Earth3_CMIP6 [-] 1.01 1.01 0.719 0.291 0.794 2.03 0.799 0.582 0.706 0.936 0.721
ERA5_BARPA [-] 0.910 0.902 0.783 0.119 0.282 0.540 0.894 0.844 0.952 0.983 0.904
ERA5_CCAM [-] 0.951 0.936 0.783 0.153 0.235 0.373 0.886 0.898 0.965 0.988 0.927
MPI-ESM1-2-HR_BARPA [-] 1.22 1.21 0.783 0.426 0.591 1.04 0.729 0.746 0.920 0.981 0.824
NorESM2-MM_BARPA [-] 1.25 1.24 0.783 0.457 0.709 1.29 0.713 0.678 0.879 0.960 0.782
NorESM2-MM_CCAM [-] 0.701 0.685 0.783 -0.0979 0.469 1.28 0.913 0.718 0.880 0.987 0.843
NorESM2-MM_CMIP6 [-] 0.574 0.574 0.723 -0.149 0.449 1.37 0.883 0.736 0.868 0.990 0.842
Download Data
Period Mean (original grids) [m s**-1]
Model Period Mean (intersection) [m s**-1]
Benchmark Period Mean (intersection) [m s**-1]
Model Period Mean (complement) [m s**-1]
Benchmark Period Mean (complement) [m s**-1]
Bias [m s**-1]
RMSE [m s**-1]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 0.512
ACCESS-CM2_BARPA [-] 0.324 0.326 0.512 -0.186 0.342 0.624 0.877 0.828 0.952 0.984 0.894
ACCESS-CM2_CCAM [-] 0.361 0.368 0.512 -0.145 0.452 0.905 0.888 0.752 0.913 0.984 0.858
ACCESS-CM2_CMIP6 [-] -0.655 -0.655 0.199 -0.854 0.965 1.28 0.518 0.715 0.886 0.408 0.648
ACCESS-ESM1-5_BARPA [-] 0.108 0.115 0.512 -0.397 0.557 0.881 0.758 0.772 0.881 0.925 0.822
ACCESS-ESM1-5_CCAM [-] 0.579 0.590 0.512 0.0778 0.491 1.52 0.888 0.728 0.783 0.985 0.822
ACCESS-ESM1-5_CMIP6 [-] -0.248 -0.248 0.593 -0.840 1.07 1.53 0.554 0.641 0.749 0.474 0.612
CESM2_BARPA [-] 0.376 0.388 0.512 -0.125 0.428 0.934 0.878 0.770 0.929 0.965 0.862
CESM2_CCAM [-] 0.151 0.183 0.512 -0.329 0.679 1.06 0.768 0.715 0.916 0.816 0.786
CMCC-ESM2_BARPA [-] 0.578 0.589 0.512 0.0770 0.366 1.15 0.891 0.802 0.893 0.975 0.873
CMCC-ESM2_CCAM [-] 0.379 0.392 0.512 -0.120 0.352 0.878 0.878 0.820 0.922 0.974 0.883
CMCC-ESM2_CMIP6 [-] -0.403 -0.403 0.408 -0.811 0.864 0.912 0.559 0.813 0.893 0.602 0.736
CNRM-ESM2-1_CCAM [-] 1.02 1.03 0.512 0.515 0.720 1.02 0.696 0.709 0.848 0.960 0.784
CNRM-ESM2-1_CMIP6 [-] 0.553 0.553 0.467 0.0861 0.612 0.837 0.878 0.656 0.845 0.923 0.792
EC-Earth3_BARPA [-] 1.34 1.35 0.512 0.840 1.08 1.28 0.553 0.621 0.870 0.942 0.721
EC-Earth3_CCAM [-] 1.17 1.18 0.512 0.670 0.965 1.61 0.623 0.616 0.796 0.930 0.716
EC-Earth3_CMIP6 [-] 0.805 0.805 0.525 0.280 0.733 1.75 0.812 0.631 0.762 0.832 0.734
ERA5_BARPA [-] 0.568 0.572 0.512 0.0592 0.215 0.287 0.927 0.885 0.970 0.994 0.932
ERA5_CCAM [-] 0.934 0.943 0.512 0.430 0.483 0.438 0.739 0.864 0.962 0.971 0.880
MPI-ESM1-2-HR_BARPA [-] 0.377 0.388 0.512 -0.125 0.383 1.02 0.882 0.794 0.924 0.981 0.875
NorESM2-MM_BARPA [-] 0.793 0.799 0.512 0.287 0.437 1.25 0.818 0.801 0.871 0.980 0.854
NorESM2-MM_CCAM [-] 0.356 0.370 0.512 -0.142 0.525 1.59 0.858 0.722 0.826 0.961 0.818
NorESM2-MM_CMIP6 [-] 0.114 0.114 0.408 -0.294 0.484 1.92 0.817 0.771 0.755 0.929 0.809
Download Data
Period Mean (original grids) [m s**-1]
Model Period Mean (intersection) [m s**-1]
Benchmark Period Mean (intersection) [m s**-1]
Model Period Mean (complement) [m s**-1]
Benchmark Period Mean (complement) [m s**-1]
Bias [m s**-1]
RMSE [m s**-1]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 0.780
ACCESS-CM2_BARPA [-] 0.849 0.857 0.780 0.0774 0.420 0.885 0.890 0.750 0.860 0.986 0.847
ACCESS-CM2_CCAM [-] 0.673 0.683 0.780 -0.0965 0.569 1.48 0.802 0.707 0.742 0.947 0.781
ACCESS-CM2_CMIP6 [-] 0.461 0.461 0.864 -0.403 0.694 0.720 0.738 0.718 0.891 0.918 0.797
ACCESS-ESM1-5_BARPA [-] 0.973 0.982 0.780 0.202 0.496 1.17 0.849 0.728 0.884 0.990 0.836
ACCESS-ESM1-5_CCAM [-] 0.798 0.807 0.780 0.0276 0.547 2.68 0.890 0.678 0.622 0.975 0.769
ACCESS-ESM1-5_CMIP6 [-] 0.354 0.354 0.783 -0.429 0.792 3.89 0.725 0.637 0.388 0.877 0.653
CESM2_BARPA [-] 1.38 1.39 0.780 0.613 0.848 0.602 0.630 0.654 0.900 0.979 0.763
CESM2_CCAM [-] 1.83 1.84 0.780 1.06 1.25 0.797 0.452 0.610 0.876 0.971 0.704
CMCC-ESM2_BARPA [-] 1.52 1.53 0.780 0.748 0.948 0.586 0.572 0.658 0.903 0.975 0.753
CMCC-ESM2_CCAM [-] 0.792 0.803 0.780 0.0231 0.573 0.632 0.760 0.752 0.905 0.916 0.817
CMCC-ESM2_CMIP6 [-] 0.458 0.458 0.782 -0.324 0.590 0.576 0.744 0.748 0.903 0.900 0.808
CNRM-ESM2-1_CCAM [-] 1.16 1.17 0.780 0.395 0.713 2.95 0.726 0.662 0.502 0.974 0.705
CNRM-ESM2-1_CMIP6 [-] 0.869 0.869 0.761 0.107 0.518 2.96 0.863 0.692 0.495 0.989 0.746
EC-Earth3_BARPA [-] 1.83 1.83 0.780 1.05 1.12 0.786 0.456 0.755 0.898 0.933 0.760
EC-Earth3_CCAM [-] 1.12 1.13 0.780 0.353 0.733 1.85 0.737 0.644 0.712 0.963 0.740
EC-Earth3_CMIP6 [-] 0.902 0.902 0.760 0.142 0.683 2.29 0.848 0.619 0.645 0.917 0.729
ERA5_BARPA [-] 1.14 1.15 0.780 0.369 0.471 0.459 0.757 0.812 0.927 0.975 0.856
ERA5_CCAM [-] 0.971 0.981 0.780 0.201 0.368 0.930 0.806 0.863 0.863 0.979 0.875
MPI-ESM1-2-HR_BARPA [-] 1.43 1.44 0.780 0.663 0.789 1.32 0.609 0.740 0.777 0.975 0.768
NorESM2-MM_BARPA [-] 1.25 1.26 0.780 0.476 0.825 0.785 0.698 0.607 0.882 0.957 0.750
NorESM2-MM_CCAM [-] 0.565 0.574 0.780 -0.206 0.571 0.761 0.850 0.682 0.872 0.978 0.813
NorESM2-MM_CMIP6 [-] 0.293 0.293 0.782 -0.488 0.709 0.576 0.707 0.701 0.903 0.894 0.781
Download Data
Period Mean (original grids) [m s**-1]
Model Period Mean (intersection) [m s**-1]
Benchmark Period Mean (intersection) [m s**-1]
Model Period Mean (complement) [m s**-1]
Benchmark Period Mean (complement) [m s**-1]
Bias [m s**-1]
RMSE [m s**-1]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 0.498
ACCESS-CM2_BARPA [-] 0.141 0.150 0.498 -0.347 0.611 0.700 0.749 0.669 0.905 0.940 0.786
ACCESS-CM2_CCAM [-] -0.0912 -0.0791 0.498 -0.577 0.884 1.29 0.618 0.637 0.801 0.760 0.690
ACCESS-CM2_CMIP6 [-] 0.0429 0.0429 0.482 -0.439 0.689 0.607 0.691 0.675 0.943 0.887 0.774
ACCESS-ESM1-5_BARPA [-] 0.464 0.474 0.498 -0.0232 0.502 1.37 0.926 0.670 0.831 0.994 0.818
ACCESS-ESM1-5_CCAM [-] 0.304 0.313 0.498 -0.184 0.661 1.28 0.827 0.621 0.819 0.946 0.767
ACCESS-ESM1-5_CMIP6 [-] 0.209 0.209 0.476 -0.267 0.709 1.72 0.782 0.596 0.749 0.951 0.735
CESM2_BARPA [-] 0.445 0.454 0.498 -0.0435 0.523 1.60 0.902 0.663 0.758 0.985 0.794
CESM2_CCAM [-] 0.857 0.864 0.498 0.366 0.937 1.10 0.732 0.526 0.857 0.898 0.708
CMCC-ESM2_BARPA [-] 0.360 0.371 0.498 -0.127 0.570 1.67 0.862 0.645 0.731 0.962 0.769
CMCC-ESM2_CCAM [-] -0.159 -0.145 0.498 -0.643 0.862 1.10 0.605 0.649 0.839 0.706 0.690
CMCC-ESM2_CMIP6 [-] 0.0861 0.0861 0.494 -0.408 0.725 1.78 0.713 0.627 0.714 0.856 0.707
CNRM-ESM2-1_CCAM [-] 0.426 0.441 0.498 -0.0565 0.612 1.17 0.758 0.674 0.867 0.810 0.757
CNRM-ESM2-1_CMIP6 [-] 0.362 0.362 0.457 -0.0947 0.521 1.20 0.878 0.667 0.868 0.952 0.806
EC-Earth3_BARPA [-] 0.841 0.849 0.498 0.352 0.602 1.41 0.755 0.678 0.802 0.969 0.777
EC-Earth3_CCAM [-] 0.406 0.417 0.498 -0.0804 0.584 1.30 0.856 0.649 0.827 0.939 0.784
EC-Earth3_CMIP6 [-] 0.535 0.535 0.491 0.0441 0.564 1.38 0.883 0.647 0.813 0.978 0.794
ERA5_BARPA [-] 0.410 0.420 0.498 -0.0778 0.332 0.848 0.927 0.772 0.883 0.996 0.870
ERA5_CCAM [-] 0.405 0.417 0.498 -0.0805 0.312 0.825 0.870 0.825 0.891 0.948 0.872
MPI-ESM1-2-HR_BARPA [-] 0.610 0.622 0.498 0.124 0.565 1.10 0.880 0.649 0.840 0.968 0.797
NorESM2-MM_BARPA [-] 0.160 0.167 0.498 -0.330 0.666 1.72 0.757 0.636 0.718 0.932 0.736
NorESM2-MM_CCAM [-] 0.0614 0.0716 0.498 -0.426 0.788 1.25 0.709 0.604 0.812 0.874 0.720
NorESM2-MM_CMIP6 [-] 0.0940 0.0940 0.494 -0.400 0.736 1.12 0.733 0.610 0.832 0.912 0.739
Download Data
Period Mean (original grids) [m s**-1]
Model Period Mean (intersection) [m s**-1]
Benchmark Period Mean (intersection) [m s**-1]
Model Period Mean (complement) [m s**-1]
Benchmark Period Mean (complement) [m s**-1]
Bias [m s**-1]
RMSE [m s**-1]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] -0.275
ACCESS-CM2_BARPA [-] -0.288 -0.280 -0.275 -0.00581 0.356 1.69 0.939 0.776 0.744 0.972 0.841
ACCESS-CM2_CCAM [-] -0.407 -0.401 -0.275 -0.126 0.451 1.48 0.885 0.735 0.794 0.980 0.826
ACCESS-CM2_CMIP6 [-] -0.717 -0.717 -0.322 -0.394 0.604 1.16 0.744 0.732 0.861 0.910 0.796
ACCESS-ESM1-5_BARPA [-] -0.436 -0.428 -0.275 -0.153 0.450 1.21 0.892 0.739 0.848 0.944 0.832
ACCESS-ESM1-5_CCAM [-] -0.197 -0.191 -0.275 0.0832 0.383 1.59 0.918 0.765 0.788 0.978 0.843
ACCESS-ESM1-5_CMIP6 [-] -0.412 -0.412 -0.300 -0.113 0.456 1.96 0.869 0.736 0.695 0.937 0.795
CESM2_BARPA [-] -0.312 -0.304 -0.275 -0.0296 0.494 1.50 0.888 0.714 0.805 0.903 0.805
CESM2_CCAM [-] -1.24 -1.24 -0.275 -0.961 1.05 1.94 0.483 0.727 0.728 0.880 0.709
CMCC-ESM2_BARPA [-] -0.259 -0.252 -0.275 0.0221 0.348 1.09 0.909 0.785 0.875 0.953 0.861
CMCC-ESM2_CCAM [-] -0.933 -0.927 -0.275 -0.653 0.755 1.53 0.608 0.751 0.799 0.896 0.761
CMCC-ESM2_CMIP6 [-] -1.18 -1.18 -0.320 -0.864 0.943 1.67 0.521 0.773 0.765 0.862 0.739
CNRM-ESM2-1_CCAM [-] -0.277 -0.272 -0.275 0.00294 0.498 1.53 0.855 0.721 0.796 0.838 0.786
CNRM-ESM2-1_CMIP6 [-] -0.343 -0.343 -0.279 -0.0634 0.517 1.59 0.888 0.695 0.786 0.950 0.803
EC-Earth3_BARPA [-] 0.361 0.369 -0.275 0.643 0.716 1.34 0.613 0.791 0.817 0.709 0.744
EC-Earth3_CCAM [-] -0.149 -0.143 -0.275 0.131 0.506 2.06 0.865 0.715 0.671 0.829 0.759
EC-Earth3_CMIP6 [-] -0.183 -0.183 -0.304 0.121 0.480 2.12 0.862 0.724 0.657 0.896 0.773
ERA5_BARPA [-] -0.189 -0.183 -0.275 0.0918 0.193 0.960 0.918 0.894 0.867 0.983 0.911
ERA5_CCAM [-] -0.269 -0.263 -0.275 0.0116 0.211 1.04 0.916 0.891 0.854 0.914 0.893
MPI-ESM1-2-HR_BARPA [-] -0.248 -0.239 -0.275 0.0353 0.428 2.21 0.900 0.747 0.671 0.947 0.802
NorESM2-MM_BARPA [-] -0.121 -0.113 -0.275 0.162 0.392 1.44 0.860 0.779 0.805 0.932 0.831
NorESM2-MM_CCAM [-] -0.753 -0.746 -0.275 -0.472 0.562 1.58 0.699 0.799 0.780 0.941 0.804
NorESM2-MM_CMIP6 [-] -0.953 -0.953 -0.320 -0.633 0.720 1.55 0.621 0.783 0.782 0.915 0.777
Download Data
Period Mean (original grids) [m s**-1]
Model Period Mean (intersection) [m s**-1]
Benchmark Period Mean (intersection) [m s**-1]
Model Period Mean (complement) [m s**-1]
Benchmark Period Mean (complement) [m s**-1]
Bias [m s**-1]
RMSE [m s**-1]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 0.151
ACCESS-CM2_BARPA [-] 0.191 0.190 0.151 0.0390 0.372 1.26 0.908 0.754 0.804 0.990 0.842
ACCESS-CM2_CCAM [-] -0.248 -0.249 0.151 -0.400 0.668 1.98 0.725 0.668 0.681 0.923 0.733
ACCESS-CM2_CMIP6 [-] -0.0574 -0.0574 0.153 -0.210 0.484 1.06 0.835 0.726 0.872 0.956 0.823
ACCESS-ESM1-5_BARPA [-] 0.321 0.321 0.151 0.170 0.459 1.26 0.866 0.719 0.855 0.980 0.828
ACCESS-ESM1-5_CCAM [-] 0.342 0.341 0.151 0.190 0.532 1.19 0.822 0.694 0.857 0.965 0.806
ACCESS-ESM1-5_CMIP6 [-] -0.00131 -0.00131 0.154 -0.156 0.479 1.05 0.866 0.702 0.908 0.978 0.831
CESM2_BARPA [-] 0.569 0.568 0.151 0.417 0.716 1.31 0.715 0.633 0.843 0.950 0.755
CESM2_CCAM [-] 0.396 0.397 0.151 0.246 0.851 1.01 0.667 0.606 0.890 0.837 0.721
CMCC-ESM2_BARPA [-] 0.376 0.375 0.151 0.224 0.652 1.19 0.828 0.622 0.862 0.960 0.779
CMCC-ESM2_CCAM [-] -0.767 -0.768 0.151 -0.919 1.01 1.32 0.475 0.715 0.825 0.770 0.700
CMCC-ESM2_CMIP6 [-] -0.548 -0.548 0.146 -0.695 0.829 1.14 0.568 0.701 0.842 0.809 0.724
CNRM-ESM2-1_CCAM [-] -0.223 -0.223 0.151 -0.374 0.650 1.94 0.708 0.678 0.736 0.919 0.744
CNRM-ESM2-1_CMIP6 [-] 0.0769 0.0769 0.175 -0.0985 0.500 1.87 0.892 0.677 0.756 0.986 0.798
EC-Earth3_BARPA [-] 1.02 1.02 0.151 0.872 0.951 1.08 0.496 0.743 0.866 0.872 0.744
EC-Earth3_CCAM [-] -0.0677 -0.0683 0.151 -0.219 0.575 2.12 0.792 0.678 0.662 0.954 0.753
EC-Earth3_CMIP6 [-] 0.202 0.202 0.160 0.0425 0.486 1.44 0.874 0.700 0.791 0.956 0.804
ERA5_BARPA [-] 0.308 0.307 0.151 0.156 0.319 0.914 0.873 0.811 0.892 0.986 0.875
ERA5_CCAM [-] -0.0776 -0.0780 0.151 -0.229 0.297 1.08 0.829 0.883 0.846 0.966 0.881
MPI-ESM1-2-HR_BARPA [-] 0.352 0.352 0.151 0.201 0.499 1.52 0.853 0.700 0.783 0.979 0.803
NorESM2-MM_BARPA [-] 0.610 0.608 0.151 0.457 0.754 1.50 0.692 0.641 0.801 0.926 0.740
NorESM2-MM_CCAM [-] -0.253 -0.253 0.151 -0.404 0.625 0.875 0.722 0.692 0.897 0.927 0.786
NorESM2-MM_CMIP6 [-] -0.217 -0.217 0.146 -0.363 0.658 0.921 0.742 0.666 0.893 0.922 0.778
Download Data
Period Mean (original grids) [m s**-1]
Model Period Mean (intersection) [m s**-1]
Benchmark Period Mean (intersection) [m s**-1]
Model Period Mean (complement) [m s**-1]
Benchmark Period Mean (complement) [m s**-1]
Bias [m s**-1]
RMSE [m s**-1]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] -0.418
ACCESS-CM2_BARPA [-] -0.182 -0.182 -0.418 0.236 0.485 2.25 0.815 0.702 0.631 0.960 0.762
ACCESS-CM2_CCAM [-] -0.319 -0.320 -0.418 0.0979 0.608 2.34 0.852 0.611 0.632 0.975 0.736
ACCESS-CM2_CMIP6 [-] -0.371 -0.371 -0.414 0.0425 0.456 1.62 0.931 0.677 0.787 0.992 0.813
ACCESS-ESM1-5_BARPA [-] -0.128 -0.127 -0.418 0.291 0.457 1.27 0.776 0.753 0.844 0.934 0.812
ACCESS-ESM1-5_CCAM [-] -0.0514 -0.0505 -0.418 0.367 0.578 1.76 0.728 0.704 0.768 0.889 0.759
ACCESS-ESM1-5_CMIP6 [-] -0.393 -0.393 -0.436 0.0428 0.378 1.33 0.882 0.741 0.827 0.984 0.835
CESM2_BARPA [-] 0.158 0.159 -0.418 0.577 0.738 1.90 0.610 0.695 0.714 0.741 0.691
CESM2_CCAM [-] -0.901 -0.900 -0.418 -0.482 0.760 1.89 0.636 0.698 0.710 0.808 0.710
CMCC-ESM2_BARPA [-] -0.230 -0.229 -0.418 0.188 0.450 1.32 0.858 0.709 0.841 0.966 0.817
CMCC-ESM2_CCAM [-] -0.849 -0.850 -0.418 -0.433 0.671 1.96 0.691 0.669 0.728 0.940 0.739
CMCC-ESM2_CMIP6 [-] -0.891 -0.891 -0.418 -0.474 0.604 1.63 0.672 0.736 0.783 0.885 0.762
CNRM-ESM2-1_CCAM [-] -0.834 -0.834 -0.418 -0.416 0.657 1.45 0.694 0.650 0.843 0.964 0.760
CNRM-ESM2-1_CMIP6 [-] -0.571 -0.571 -0.400 -0.171 0.571 1.34 0.853 0.623 0.866 0.984 0.790
EC-Earth3_BARPA [-] 0.148 0.149 -0.418 0.567 0.662 0.879 0.617 0.753 0.920 0.771 0.763
EC-Earth3_CCAM [-] -0.587 -0.587 -0.418 -0.169 0.468 1.77 0.860 0.696 0.743 0.985 0.796
EC-Earth3_CMIP6 [-] -0.386 -0.386 -0.414 0.0282 0.436 1.22 0.896 0.701 0.851 0.987 0.827
ERA5_BARPA [-] -0.303 -0.303 -0.418 0.115 0.232 0.607 0.903 0.842 0.925 0.990 0.900
ERA5_CCAM [-] -0.427 -0.426 -0.418 -0.00871 0.177 0.800 0.920 0.886 0.893 0.992 0.915
MPI-ESM1-2-HR_BARPA [-] -0.286 -0.285 -0.418 0.133 0.389 1.36 0.880 0.747 0.811 0.978 0.833
NorESM2-MM_BARPA [-] 0.175 0.176 -0.418 0.594 0.776 1.90 0.596 0.660 0.700 0.767 0.676
NorESM2-MM_CCAM [-] -0.506 -0.507 -0.418 -0.0894 0.487 1.32 0.826 0.703 0.823 0.960 0.803
NorESM2-MM_CMIP6 [-] -0.451 -0.451 -0.418 -0.0337 0.493 1.24 0.818 0.702 0.830 0.937 0.798
Download Data
Period Mean (original grids) [m s**-1]
Model Period Mean (intersection) [m s**-1]
Benchmark Period Mean (intersection) [m s**-1]
Model Period Mean (complement) [m s**-1]
Benchmark Period Mean (complement) [m s**-1]
Bias [m s**-1]
RMSE [m s**-1]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] -0.809
ACCESS-CM2_BARPA [-] -0.969 -0.987 -0.809 -0.178 0.648 4.16 0.876 0.657 0.255 0.945 0.678
ACCESS-CM2_CCAM [-] -0.821 -0.848 -0.809 -0.0386 0.822 4.80 0.906 0.574 0.118 0.930 0.620
ACCESS-CM2_CMIP6 [-] -0.485 -0.485 -0.508 0.0225 0.627 5.10 0.984 0.645 0.0631 1.00 0.667
ACCESS-ESM1-5_BARPA [-] -1.38 -1.40 -0.809 -0.590 0.904 3.37 0.664 0.628 0.405 0.924 0.650
ACCESS-ESM1-5_CCAM [-] -0.855 -0.881 -0.809 -0.0716 0.663 2.95 0.893 0.648 0.497 0.874 0.712
ACCESS-ESM1-5_CMIP6 [-] -1.13 -1.13 -1.03 -0.102 0.658 4.08 0.932 0.635 0.244 0.761 0.641
CESM2_BARPA [-] -1.53 -1.54 -0.809 -0.732 0.898 1.51 0.601 0.705 0.839 0.940 0.758
CESM2_CCAM [-] -2.23 -2.25 -0.809 -1.44 1.57 1.53 0.368 0.652 0.834 0.905 0.682
CMCC-ESM2_BARPA [-] -1.01 -1.03 -0.809 -0.219 0.442 0.578 0.855 0.774 0.929 0.992 0.865
CMCC-ESM2_CCAM [-] -1.10 -1.13 -0.809 -0.322 0.540 1.71 0.801 0.757 0.737 0.985 0.807
CMCC-ESM2_CMIP6 [-] -1.10 -1.10 -0.729 -0.370 0.554 0.00 0.762 0.745 1.00 0.713 0.793
CNRM-ESM2-1_CCAM [-] -0.383 -0.415 -0.809 0.394 0.887 4.07 0.758 0.584 0.277 0.839 0.609
CNRM-ESM2-1_CMIP6 [-] -0.405 -0.405 -0.641 0.236 0.712 1.02 0.853 0.647 0.933 0.0475 0.625
EC-Earth3_BARPA [-] -0.355 -0.377 -0.809 0.433 0.533 0.813 0.743 0.811 0.911 0.954 0.846
EC-Earth3_CCAM [-] -0.400 -0.433 -0.809 0.376 0.544 2.39 0.772 0.772 0.605 0.935 0.771
EC-Earth3_CMIP6 [-] -0.626 -0.626 -0.797 0.171 0.352 0.335 0.865 0.822 0.978 0.905 0.878
ERA5_BARPA [-] -0.756 -0.775 -0.809 0.0346 0.209 0.753 0.919 0.894 0.917 0.992 0.923
ERA5_CCAM [-] -0.387 -0.420 -0.809 0.390 0.413 0.522 0.768 0.924 0.918 0.958 0.899
MPI-ESM1-2-HR_BARPA [-] -1.01 -1.02 -0.809 -0.213 0.598 2.72 0.856 0.688 0.559 0.868 0.732
NorESM2-MM_BARPA [-] -1.12 -1.14 -0.809 -0.326 0.478 1.31 0.796 0.790 0.869 0.984 0.846
NorESM2-MM_CCAM [-] -1.37 -1.39 -0.809 -0.582 0.775 3.01 0.668 0.703 0.501 0.940 0.703
NorESM2-MM_CMIP6 [-] -1.35 -1.35 -0.729 -0.626 0.776 3.05 0.633 0.720 0.498 0.973 0.709
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 [-] -1.51
ACCESS-CM2_BARPA [-] -1.62 -1.63 -1.51 -0.120 0.766 1.06 0.883 0.609 0.827 0.983 0.782
ACCESS-CM2_CCAM [-] -1.57 -1.59 -1.51 -0.0751 0.834 1.06 0.891 0.582 0.827 0.993 0.775
ACCESS-CM2_CMIP6 [-] -1.25 -1.25 -1.18 -0.0610 0.730 0.00 0.790 0.626 1.00 0.718 0.752
ACCESS-ESM1-5_BARPA [-] -1.95 -1.96 -1.51 -0.451 0.934 1.69 0.744 0.584 0.772 0.962 0.729
ACCESS-ESM1-5_CCAM [-] -1.62 -1.63 -1.51 -0.124 0.728 1.17 0.849 0.639 0.825 0.957 0.782
ACCESS-ESM1-5_CMIP6 [-] -1.16 -1.16 -1.54 0.372 0.655 1.02 0.782 0.699 0.933 1.00 0.823
CESM2_BARPA [-] -2.03 -2.04 -1.51 -0.526 0.820 3.87 0.704 0.661 0.319 0.973 0.664
CESM2_CCAM [-] -2.78 -2.79 -1.51 -1.28 1.42 4.42 0.424 0.662 0.213 0.980 0.588
CMCC-ESM2_BARPA [-] -1.56 -1.57 -1.51 -0.0590 0.384 2.11 0.934 0.784 0.700 0.998 0.840
CMCC-ESM2_CCAM [-] -1.71 -1.72 -1.51 -0.212 0.527 1.69 0.831 0.751 0.766 0.979 0.815
CMCC-ESM2_CMIP6 [-] -1.70 -1.70 -1.35 -0.357 0.556 0.00 0.792 0.765 1.00 0.867 0.838
CNRM-ESM2-1_CCAM [-] -1.25 -1.27 -1.51 0.244 0.875 2.09 0.814 0.582 0.710 0.970 0.731
CNRM-ESM2-1_CMIP6 [-] -1.14 -1.14 -1.21 0.0723 0.682 2.05 0.841 0.653 0.745 0.733 0.725
EC-Earth3_BARPA [-] -1.05 -1.06 -1.51 0.451 0.598 2.17 0.740 0.773 0.663 0.991 0.788
EC-Earth3_CCAM [-] -1.19 -1.21 -1.51 0.302 0.532 0.834 0.810 0.761 0.896 0.993 0.844
EC-Earth3_CMIP6 [-] -1.12 -1.12 -1.43 0.303 0.486 0.379 0.814 0.797 0.975 0.935 0.864
ERA5_BARPA [-] -1.37 -1.38 -1.51 0.129 0.248 3.20 0.894 0.890 0.443 0.996 0.823
ERA5_CCAM [-] -1.17 -1.18 -1.51 0.326 0.363 0.930 0.803 0.933 0.859 0.981 0.902
MPI-ESM1-2-HR_BARPA [-] -1.61 -1.62 -1.51 -0.112 0.677 1.38 0.831 0.664 0.819 0.948 0.785
NorESM2-MM_BARPA [-] -1.75 -1.76 -1.51 -0.251 0.436 3.81 0.845 0.792 0.325 0.997 0.750
NorESM2-MM_CCAM [-] -2.07 -2.08 -1.51 -0.570 0.723 3.32 0.685 0.746 0.419 0.992 0.718
NorESM2-MM_CMIP6 [-] -1.95 -1.95 -1.35 -0.599 0.761 3.67 0.670 0.746 0.344 0.819 0.665
Download Data
Period Mean (original grids) [m s**-1]
Model Period Mean (intersection) [m s**-1]
Benchmark Period Mean (intersection) [m s**-1]
Model Period Mean (complement) [m s**-1]
Benchmark Period Mean (complement) [m s**-1]
Bias [m s**-1]
RMSE [m s**-1]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] -0.788
ACCESS-CM2_BARPA [-] -0.956 -1.06 -0.788 -0.273 0.470 0.981 0.814 0.779 0.871 0.957 0.840
ACCESS-CM2_CCAM [-] -0.698 -0.777 -0.788 0.0114 0.466 1.26 0.885 0.748 0.834 0.971 0.837
ACCESS-CM2_CMIP6 [-] -0.827 -0.827 -0.376 -0.450 0.603 0.333 0.731 0.784 0.978 0.926 0.840
ACCESS-ESM1-5_BARPA [-] -1.30 -1.40 -0.788 -0.612 0.765 0.623 0.651 0.729 0.942 0.962 0.803
ACCESS-ESM1-5_CCAM [-] -0.698 -0.767 -0.788 0.0217 0.409 0.983 0.879 0.781 0.907 0.989 0.867
ACCESS-ESM1-5_CMIP6 [-] -0.673 -0.673 -0.238 -0.436 0.591 0.332 0.744 0.757 0.978 0.669 0.781
CESM2_BARPA [-] -1.26 -1.36 -0.788 -0.568 0.710 0.857 0.667 0.751 0.929 0.970 0.814
CESM2_CCAM [-] -1.92 -1.99 -0.788 -1.21 1.32 0.917 0.425 0.688 0.934 0.957 0.738
CMCC-ESM2_BARPA [-] -0.899 -0.992 -0.788 -0.204 0.399 0.983 0.840 0.814 0.905 0.988 0.872
CMCC-ESM2_CCAM [-] -0.966 -1.04 -0.788 -0.252 0.461 1.36 0.830 0.778 0.866 0.987 0.848
CMCC-ESM2_CMIP6 [-] -1.12 -1.12 -0.376 -0.743 0.855 0.840 0.604 0.751 0.925 0.823 0.771
CNRM-ESM2-1_CCAM [-] -0.261 -0.336 -0.788 0.453 0.645 1.41 0.719 0.749 0.775 0.925 0.783
CNRM-ESM2-1_CMIP6 [-] -0.639 -0.639 -0.963 0.325 0.503 1.98 0.789 0.769 0.674 0.880 0.776
EC-Earth3_BARPA [-] -0.167 -0.260 -0.788 0.528 0.691 0.444 0.692 0.737 0.956 0.917 0.808
EC-Earth3_CCAM [-] -0.106 -0.176 -0.788 0.613 0.754 0.776 0.654 0.754 0.887 0.901 0.790
EC-Earth3_CMIP6 [-] -0.412 -0.412 -0.647 0.235 0.511 0.842 0.842 0.740 0.870 0.977 0.834
ERA5_BARPA [-] -0.661 -0.760 -0.788 0.0289 0.230 0.398 0.910 0.882 0.968 0.982 0.925
ERA5_CCAM [-] -0.230 -0.300 -0.788 0.488 0.539 0.457 0.711 0.886 0.954 0.938 0.875
MPI-ESM1-2-HR_BARPA [-] -1.12 -1.23 -0.788 -0.442 0.646 1.57 0.735 0.726 0.817 0.933 0.787
NorESM2-MM_BARPA [-] -0.798 -0.893 -0.788 -0.105 0.428 0.974 0.837 0.789 0.908 0.956 0.856
NorESM2-MM_CCAM [-] -1.11 -1.18 -0.788 -0.394 0.576 1.06 0.753 0.755 0.911 0.983 0.831
NorESM2-MM_CMIP6 [-] -1.06 -1.06 -0.376 -0.688 0.847 0.850 0.626 0.730 0.944 0.880 0.782
Download Data
Period Mean (original grids) [m s**-1]
Model Period Mean (intersection) [m s**-1]
Benchmark Period Mean (intersection) [m s**-1]
Model Period Mean (complement) [m s**-1]
Benchmark Period Mean (complement) [m s**-1]
Bias [m s**-1]
RMSE [m s**-1]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] -0.836
ACCESS-CM2_BARPA [-] -0.847 -0.804 -0.836 0.0316 0.562 1.02 0.937 0.708 0.931 0.875 0.832
ACCESS-CM2_CCAM [-] -0.925 -0.904 -0.836 -0.0682 0.476 1.29 0.950 0.746 0.870 0.969 0.856
ACCESS-CM2_CMIP6 [-] -1.25 -1.25 -0.684 -0.566 0.788 1.01 0.710 0.719 0.934 0.168 0.650
ACCESS-ESM1-5_BARPA [-] -1.03 -0.985 -0.836 -0.150 0.676 1.57 0.911 0.667 0.826 0.820 0.778
ACCESS-ESM1-5_CCAM [-] -0.721 -0.699 -0.836 0.136 0.444 2.00 0.918 0.769 0.744 0.976 0.835
ACCESS-ESM1-5_CMIP6 [-] -0.961 -0.961 -0.974 0.0125 0.472 2.02 0.908 0.746 0.751 0.894 0.809
CESM2_BARPA [-] -0.948 -0.900 -0.836 -0.0644 0.658 0.310 0.922 0.673 0.968 0.772 0.802
CESM2_CCAM [-] -2.04 -2.02 -0.836 -1.18 1.29 1.35 0.474 0.728 0.837 0.952 0.743
CMCC-ESM2_BARPA [-] -0.669 -0.626 -0.836 0.209 0.412 1.96 0.858 0.815 0.756 0.829 0.814
CMCC-ESM2_CCAM [-] -1.32 -1.31 -0.836 -0.475 0.639 1.96 0.743 0.766 0.756 0.796 0.765
CMCC-ESM2_CMIP6 [-] -1.65 -1.65 -0.743 -0.911 0.975 2.02 0.558 0.800 0.752 0.586 0.699
CNRM-ESM2-1_CCAM [-] -0.866 -0.854 -0.836 -0.0183 0.531 1.02 0.921 0.729 0.931 0.870 0.836
CNRM-ESM2-1_CMIP6 [-] -1.15 -1.15 -0.855 -0.296 0.617 0.983 0.817 0.691 0.937 1.00 0.827
EC-Earth3_BARPA [-] -0.189 -0.153 -0.836 0.682 0.772 0.692 0.651 0.798 0.954 0.822 0.805
EC-Earth3_CCAM [-] -0.723 -0.713 -0.836 0.123 0.406 1.92 0.919 0.799 0.734 0.802 0.810
EC-Earth3_CMIP6 [-] -0.701 -0.701 -0.839 0.139 0.359 1.84 0.914 0.815 0.755 0.929 0.846
ERA5_BARPA [-] -0.598 -0.560 -0.836 0.275 0.333 0.399 0.839 0.904 0.963 0.906 0.903
ERA5_CCAM [-] -0.720 -0.708 -0.836 0.128 0.258 0.827 0.921 0.889 0.873 0.818 0.878
MPI-ESM1-2-HR_BARPA [-] -0.958 -0.913 -0.836 -0.0770 0.572 1.96 0.953 0.705 0.756 0.870 0.798
NorESM2-MM_BARPA [-] -0.748 -0.704 -0.836 0.132 0.474 0.986 0.894 0.763 0.926 0.843 0.838
NorESM2-MM_CCAM [-] -1.39 -1.37 -0.836 -0.535 0.629 1.04 0.715 0.811 0.919 0.905 0.832
NorESM2-MM_CMIP6 [-] -1.37 -1.37 -0.743 -0.629 0.727 0.983 0.670 0.795 0.937 0.990 0.837
Download Data
Period Mean (original grids) [m s**-1]
Model Period Mean (intersection) [m s**-1]
Benchmark Period Mean (intersection) [m s**-1]
Model Period Mean (complement) [m s**-1]
Benchmark Period Mean (complement) [m s**-1]
Bias [m s**-1]
RMSE [m s**-1]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] -0.554
ACCESS-CM2_BARPA [-] -0.347 -0.351 -0.554 0.203 0.399 1.75 0.845 0.753 0.796 0.915 0.812
ACCESS-CM2_CCAM [-] -0.272 -0.267 -0.554 0.287 0.536 1.40 0.788 0.687 0.854 0.931 0.789
ACCESS-CM2_CMIP6 [-] -0.189 -0.189 -0.368 0.179 0.455 0.983 0.866 0.715 0.937 0.967 0.840
ACCESS-ESM1-5_BARPA [-] -0.351 -0.357 -0.554 0.196 0.511 1.63 0.847 0.682 0.812 0.958 0.796
ACCESS-ESM1-5_CCAM [-] -0.0404 -0.0353 -0.554 0.519 0.606 1.88 0.649 0.774 0.776 0.694 0.734
ACCESS-ESM1-5_CMIP6 [-] -0.317 -0.317 -0.628 0.311 0.473 0.997 0.769 0.739 0.878 0.475 0.720
CESM2_BARPA [-] -0.174 -0.180 -0.554 0.374 0.643 1.01 0.733 0.649 0.930 0.936 0.779
CESM2_CCAM [-] -0.947 -0.939 -0.554 -0.385 0.580 1.24 0.736 0.715 0.830 0.816 0.762
CMCC-ESM2_BARPA [-] -0.310 -0.316 -0.554 0.238 0.484 0.610 0.821 0.704 0.956 0.960 0.829
CMCC-ESM2_CCAM [-] -0.919 -0.916 -0.554 -0.362 0.532 1.88 0.740 0.724 0.775 0.991 0.791
CMCC-ESM2_CMIP6 [-] -1.05 -1.05 -0.517 -0.529 0.656 1.73 0.647 0.735 0.804 0.982 0.781
CNRM-ESM2-1_CCAM [-] -0.766 -0.759 -0.554 -0.205 0.608 0.958 0.843 0.622 0.936 0.954 0.796
CNRM-ESM2-1_CMIP6 [-] -0.675 -0.675 -0.472 -0.203 0.730 0.983 0.843 0.553 0.937 0.919 0.761
EC-Earth3_BARPA [-] 0.130 0.126 -0.554 0.680 0.766 0.985 0.567 0.745 0.930 0.314 0.660
EC-Earth3_CCAM [-] -0.591 -0.586 -0.554 -0.0316 0.365 1.75 0.920 0.750 0.763 0.909 0.819
EC-Earth3_CMIP6 [-] -0.554 -0.554 -0.566 0.0121 0.393 1.45 0.943 0.724 0.838 0.970 0.840
ERA5_BARPA [-] -0.289 -0.292 -0.554 0.262 0.328 0.173 0.804 0.851 0.989 0.961 0.891
ERA5_CCAM [-] -0.458 -0.451 -0.554 0.102 0.188 1.13 0.908 0.895 0.824 0.927 0.890
MPI-ESM1-2-HR_BARPA [-] -0.444 -0.446 -0.554 0.108 0.464 1.96 0.913 0.687 0.759 0.996 0.808
NorESM2-MM_BARPA [-] -0.0841 -0.0890 -0.554 0.465 0.620 0.542 0.678 0.711 0.960 0.842 0.781
NorESM2-MM_CCAM [-] -0.591 -0.587 -0.554 -0.0336 0.354 0.928 0.924 0.759 0.935 0.984 0.872
NorESM2-MM_CMIP6 [-] -0.427 -0.427 -0.517 0.0899 0.457 0.979 0.894 0.697 0.922 0.963 0.835
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 [-] -1.09
ACCESS-CM2_BARPA [-] -0.699 -0.688 -1.09 0.405 0.692 3.88 0.732 0.653 0.303 0.954 0.659
ACCESS-CM2_CCAM [-] -0.689 -0.684 -1.09 0.408 0.815 4.01 0.730 0.584 0.265 0.984 0.629
ACCESS-CM2_CMIP6 [-] -0.958 -0.958 -1.11 0.156 0.522 3.45 0.887 0.678 0.386 0.984 0.723
ACCESS-ESM1-5_BARPA [-] -0.657 -0.647 -1.09 0.446 0.634 3.11 0.709 0.709 0.456 0.969 0.710
ACCESS-ESM1-5_CCAM [-] -0.905 -0.902 -1.09 0.190 0.720 4.01 0.863 0.592 0.287 0.996 0.666
ACCESS-ESM1-5_CMIP6 [-] -0.628 -0.628 -1.08 0.451 0.578 0.864 0.705 0.757 0.873 0.979 0.814
CESM2_BARPA [-] -0.146 -0.132 -1.09 0.960 1.06 3.72 0.477 0.714 0.326 0.718 0.590
CESM2_CCAM [-] -1.48 -1.48 -1.09 -0.384 0.720 4.12 0.735 0.661 0.241 0.967 0.653
CMCC-ESM2_BARPA [-] -0.680 -0.665 -1.09 0.428 0.549 2.07 0.726 0.776 0.711 0.874 0.773
CMCC-ESM2_CCAM [-] -0.944 -0.937 -1.09 0.156 0.683 2.31 0.856 0.613 0.675 0.924 0.736
CMCC-ESM2_CMIP6 [-] -1.30 -1.30 -1.11 -0.187 0.396 1.93 0.834 0.788 0.735 0.914 0.812
CNRM-ESM2-1_CCAM [-] -1.65 -1.65 -1.09 -0.556 0.696 0.459 0.653 0.726 0.965 0.985 0.811
CNRM-ESM2-1_CMIP6 [-] -1.48 -1.48 -1.10 -0.386 0.669 0.466 0.746 0.661 0.963 0.954 0.797
EC-Earth3_BARPA [-] -1.04 -1.03 -1.09 0.0614 0.276 0.195 0.937 0.818 0.980 0.984 0.907
EC-Earth3_CCAM [-] -1.35 -1.35 -1.09 -0.254 0.509 1.62 0.822 0.712 0.768 0.998 0.802
EC-Earth3_CMIP6 [-] -1.24 -1.24 -1.09 -0.153 0.408 0.350 0.879 0.751 0.975 0.971 0.865
ERA5_BARPA [-] -1.02 -1.01 -1.09 0.0876 0.181 0.195 0.928 0.896 0.980 0.990 0.938
ERA5_CCAM [-] -1.04 -1.04 -1.09 0.0567 0.214 0.600 0.946 0.862 0.907 0.998 0.915
MPI-ESM1-2-HR_BARPA [-] -0.924 -0.913 -1.09 0.180 0.341 0.796 0.871 0.804 0.899 0.973 0.870
NorESM2-MM_BARPA [-] -0.143 -0.130 -1.09 0.963 1.10 2.93 0.477 0.672 0.518 0.726 0.613
NorESM2-MM_CCAM [-] -0.748 -0.745 -1.09 0.347 0.586 2.26 0.770 0.709 0.642 0.984 0.763
NorESM2-MM_CMIP6 [-] -0.493 -0.493 -1.11 0.617 0.710 1.02 0.621 0.762 0.857 0.956 0.792
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 [-] 1.80
ACCESS-CM2_BARPA [-] 1.88 1.89 1.80 0.0897 0.542 1.08 0.866 0.742 0.837 0.996 0.837
ACCESS-CM2_CCAM [-] 1.95 1.96 1.80 0.158 0.826 1.04 0.805 0.647 0.878 0.916 0.778
ACCESS-CM2_CMIP6 [-] 1.51 1.51 1.89 -0.381 1.13 1.02 0.795 0.545 0.933 0.949 0.754
ACCESS-ESM1-5_BARPA [-] 1.96 1.97 1.80 0.175 0.434 1.95 0.862 0.813 0.686 0.987 0.832
ACCESS-ESM1-5_CCAM [-] 1.68 1.68 1.80 -0.115 0.884 1.96 0.842 0.602 0.749 0.955 0.750
ACCESS-ESM1-5_CMIP6 [-] 1.11 1.11 1.81 -0.702 1.30 3.22 0.665 0.513 0.526 0.288 0.501
CESM2_BARPA [-] 2.33 2.34 1.80 0.538 0.703 2.66 0.717 0.758 0.529 0.981 0.749
CESM2_CCAM [-] 2.39 2.39 1.80 0.591 1.05 1.06 0.698 0.612 0.889 0.989 0.760
CMCC-ESM2_BARPA [-] 2.59 2.59 1.80 0.795 0.992 2.96 0.608 0.692 0.474 0.973 0.688
CMCC-ESM2_CCAM [-] 2.03 2.03 1.80 0.233 0.471 0.932 0.818 0.827 0.876 0.902 0.850
CMCC-ESM2_CMIP6 [-] 1.54 1.54 1.77 -0.234 0.637 3.64 0.839 0.728 0.341 0.979 0.723
CNRM-ESM2-1_CCAM [-] 2.36 2.37 1.80 0.566 0.862 0.997 0.710 0.677 0.848 0.948 0.772
CNRM-ESM2-1_CMIP6 [-] 1.94 1.94 1.76 0.181 0.486 0.338 0.901 0.771 0.978 0.998 0.884
EC-Earth3_BARPA [-] 2.55 2.54 1.80 0.741 0.860 2.57 0.628 0.769 0.546 0.977 0.738
EC-Earth3_CCAM [-] 1.99 1.98 1.80 0.182 0.741 0.743 0.819 0.675 0.906 0.971 0.809
EC-Earth3_CMIP6 [-] 1.53 1.53 1.73 -0.194 0.704 1.02 0.815 0.681 0.851 0.989 0.803
ERA5_BARPA [-] 2.08 2.08 1.80 0.285 0.479 1.74 0.838 0.793 0.698 0.997 0.824
ERA5_CCAM [-] 2.07 2.07 1.80 0.271 0.434 0.600 0.827 0.845 0.904 0.895 0.863
MPI-ESM1-2-HR_BARPA [-] 2.42 2.42 1.80 0.624 0.696 1.00 0.677 0.835 0.852 0.984 0.837
NorESM2-MM_BARPA [-] 1.97 1.97 1.80 0.175 0.644 3.13 0.887 0.678 0.439 0.998 0.736
NorESM2-MM_CCAM [-] 1.34 1.33 1.80 -0.467 0.760 1.02 0.745 0.716 0.890 0.981 0.810
NorESM2-MM_CMIP6 [-] 0.857 0.857 1.77 -0.915 1.03 2.73 0.585 0.759 0.536 0.963 0.721

Temporally integrated period mean

BENCHMARK MEAN
Data not available
Data not available
MODEL MEAN
Data not available
BIAS
Data not available
BIAS SCORE
Data not available
Data not available
RMSE
Data not available
RMSE SCORE
Data not available
Data not available
BENCHMARK MAX MONTH
Data not available
Data not available
MODEL MAX MONTH
Data not available
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

All Models

Benchmark
Data not available
Data not available
ACCESS-CM2_BARPA
Data not available
Data not available
ACCESS-CM2_CCAM
Data not available
Data not available
ACCESS-CM2_CMIP6
Data not available
Data not available
ACCESS-ESM1-5_BARPA
Data not available
Data not available
ACCESS-ESM1-5_CCAM
Data not available
Data not available
ACCESS-ESM1-5_CMIP6
Data not available
Data not available
CESM2_BARPA
Data not available
Data not available
CESM2_CCAM
Data not available
Data not available
CMCC-ESM2_BARPA
Data not available
Data not available
CMCC-ESM2_CCAM
Data not available
Data not available
CMCC-ESM2_CMIP6
Data not available
Data not available
CNRM-ESM2-1_CCAM
Data not available
Data not available
CNRM-ESM2-1_CMIP6
Data not available
Data not available
EC-Earth3_BARPA
Data not available
Data not available
EC-Earth3_CCAM
Data not available
Data not available
EC-Earth3_CMIP6
Data not available
Data not available
ERA5_BARPA
Data not available
Data not available
ERA5_CCAM
Data not available
Data not available
MPI-ESM1-2-HR_BARPA
Data not available
Data not available
NorESM2-MM_BARPA
Data not available
Data not available
NorESM2-MM_CCAM
Data not available
Data not available
NorESM2-MM_CMIP6
Data not available
Data not available

Data Information

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

  History:
Wed Dec 14 20:31:46 2022: cdo -b F64 cat va850/va850_era5_moda_pl_19590101-19590131.nc va850/va850_era5_moda_pl_19590201-19590228.nc va850/va850_era5_moda_pl_19590301-19590331.nc va850/va850_era5_moda_pl_19590401-19590430.nc va850/va850_era5_moda_pl_19590501-19590531.nc va850/va850_era5_moda_pl_19590601-19590630.nc va850/va850_era5_moda_pl_19590701-19590731.nc va850/va850_era5_moda_pl_19590801-19590831.nc va850/va850_era5_moda_pl_19590901-19590930.nc va850/va850_era5_moda_pl_19591001-19591031.nc va850/va850_era5_moda_pl_19591101-19591130.nc va850/va850_era5_moda_pl_19591201-19591231.nc va850/va850_era5_moda_pl_19600101-19600131.nc va850/va850_era5_moda_pl_19600201-19600229.nc va850/va850_era5_moda_pl_19600301-19600331.nc va850/va850_era5_moda_pl_19600401-19600430.nc va850/va850_era5_moda_pl_19600501-19600531.nc va850/va850_era5_moda_pl_19600601-19600630.nc va850/va850_era5_moda_pl_19600701-19600731.nc va850/va850_era5_moda_pl_19600801-19600831.nc va850/va850_era5_moda_pl_19600901-19600930.nc va850/va850_era5_moda_pl_19601001-19601031.nc va850/va850_era5_moda_pl_19601101-19601130.nc va850/va850_era5_moda_pl_19601201-19601231.nc va850/va850_era5_moda_pl_19610101-19610131.nc va850/va850_era5_moda_pl_19610201-19610228.nc va850/va850_era5_moda_pl_19610301-19610331.nc va850/va850_era5_moda_pl_19610401-19610430.nc va850/va850_era5_moda_pl_19610501-19610531.nc va850/va850_era5_moda_pl_19610601-19610630.nc va850/va850_era5_moda_pl_19610701-19610731.nc va850/va850_era5_moda_pl_19610801-19610831.nc va850/va850_era5_moda_pl_19610901-19610930.nc va850/va850_era5_moda_pl_19611001-19611031.nc va850/va850_era5_moda_pl_19611101-19611130.nc va850/va850_era5_moda_pl_19611201-19611231.nc va850/va850_era5_moda_pl_19620101-19620131.nc va850/va850_era5_moda_pl_19620201-19620228.nc va850/va850_era5_moda_pl_19620301-19620331.nc va850/va850_era5_moda_pl_19620401-19620430.nc va850/va850_era5_moda_pl_19620501-19620531.nc va850/va850_era5_moda_pl_19620601-19620630.nc va850/va850_era5_moda_pl_19620701-19620731.nc va850/va850_era5_moda_pl_19620801-19620831.nc va850/va850_era5_moda_pl_19620901-19620930.nc va850/va850_era5_moda_pl_19621001-19621031.nc va850/va850_era5_moda_pl_19621101-19621130.nc va850/va850_era5_moda_pl_19621201-19621231.nc va850/va850_era5_moda_pl_19630101-19630131.nc va850/va850_era5_moda_pl_19630201-19630228.nc va850/va850_era5_moda_pl_19630301-19630331.nc va850/va850_era5_moda_pl_19630401-19630430.nc va850/va850_era5_moda_pl_19630501-19630531.nc va850/va850_era5_moda_pl_19630601-19630630.nc va850/va850_era5_moda_pl_19630701-19630731.nc va850/va850_era5_moda_pl_19630801-19630831.nc va850/va850_era5_moda_pl_19630901-19630930.nc va850/va850_era5_moda_pl_19631001-19631031.nc va850/va850_era5_moda_pl_19631101-19631130.nc va850/va850_era5_moda_pl_19631201-19631231.nc va850/va850_era5_moda_pl_19640101-19640131.nc va850/va850_era5_moda_pl_19640201-19640229.nc va850/va850_era5_moda_pl_19640301-19640331.nc va850/va850_era5_moda_pl_19640401-19640430.nc va850/va850_era5_moda_pl_19640501-19640531.nc va850/va850_era5_moda_pl_19640601-19640630.nc va850/va850_era5_moda_pl_19640701-19640731.nc va850/va850_era5_moda_pl_19640801-19640831.nc va850/va850_era5_moda_pl_19640901-19640930.nc va850/va850_era5_moda_pl_19641001-19641031.nc va850/va850_era5_moda_pl_19641101-19641130.nc va850/va850_era5_moda_pl_19641201-19641231.nc va850/va850_era5_moda_pl_19650101-19650131.nc va850/va850_era5_moda_pl_19650201-19650228.nc va850/va850_era5_moda_pl_19650301-19650331.nc va850/va850_era5_moda_pl_19650401-19650430.nc va850/va850_era5_moda_pl_19650501-19650531.nc va850/va850_era5_moda_pl_19650601-19650630.nc va850/va850_era5_moda_pl_19650701-19650731.nc va850/va850_era5_moda_pl_19650801-19650831.nc va850/va850_era5_moda_pl_19650901-19650930.nc va850/va850_era5_moda_pl_19651001-19651031.nc va850/va850_era5_moda_pl_19651101-19651130.nc va850/va850_era5_moda_pl_19651201-19651231.nc va850/va850_era5_moda_pl_19660101-19660131.nc va850/va850_era5_moda_pl_19660201-19660228.nc va850/va850_era5_moda_pl_19660301-19660331.nc va850/va850_era5_moda_pl_19660401-19660430.nc va850/va850_era5_moda_pl_19660501-19660531.nc va850/va850_era5_moda_pl_19660601-19660630.nc va850/va850_era5_moda_pl_19660701-19660731.nc va850/va850_era5_moda_pl_19660801-19660831.nc va850/va850_era5_moda_pl_19660901-19660930.nc va850/va850_era5_moda_pl_19661001-19661031.nc va850/va850_era5_moda_pl_19661101-19661130.nc va850/va850_era5_moda_pl_19661201-19661231.nc va850/va850_era5_moda_pl_19670101-19670131.nc va850/va850_era5_moda_pl_19670201-19670228.nc va850/va850_era5_moda_pl_19670301-19670331.nc va850/va850_era5_moda_pl_19670401-19670430.nc va850/va850_era5_moda_pl_19670501-19670531.nc va850/va850_era5_moda_pl_19670601-19670630.nc va850/va850_era5_moda_pl_19670701-19670731.nc va850/va850_era5_moda_pl_19670801-19670831.nc va850/va850_era5_moda_pl_19670901-19670930.nc va850/va850_era5_moda_pl_19671001-19671031.nc va850/va850_era5_moda_pl_19671101-19671130.nc va850/va850_era5_moda_pl_19671201-19671231.nc va850/va850_era5_moda_pl_19680101-19680131.nc va850/va850_era5_moda_pl_19680201-19680229.nc va850/va850_era5_moda_pl_19680301-19680331.nc va850/va850_era5_moda_pl_19680401-19680430.nc va850/va850_era5_moda_pl_19680501-19680531.nc va850/va850_era5_moda_pl_19680601-19680630.nc va850/va850_era5_moda_pl_19680701-19680731.nc va850/va850_era5_moda_pl_19680801-19680831.nc va850/va850_era5_moda_pl_19680901-19680930.nc va850/va850_era5_moda_pl_19681001-19681031.nc va850/va850_era5_moda_pl_19681101-19681130.nc va850/va850_era5_moda_pl_19681201-19681231.nc va850/va850_era5_moda_pl_19690101-19690131.nc va850/va850_era5_moda_pl_19690201-19690228.nc va850/va850_era5_moda_pl_19690301-19690331.nc va850/va850_era5_moda_pl_19690401-19690430.nc va850/va850_era5_moda_pl_19690501-19690531.nc va850/va850_era5_moda_pl_19690601-19690630.nc va850/va850_era5_moda_pl_19690701-19690731.nc va850/va850_era5_moda_pl_19690801-19690831.nc va850/va850_era5_moda_pl_19690901-19690930.nc va850/va850_era5_moda_pl_19691001-19691031.nc va850/va850_era5_moda_pl_19691101-19691130.nc va850/va850_era5_moda_pl_19691201-19691231.nc va850/va850_era5_moda_pl_19700101-19700131.nc va850/va850_era5_moda_pl_19700201-19700228.nc va850/va850_era5_moda_pl_19700301-19700331.nc va850/va850_era5_moda_pl_19700401-19700430.nc va850/va850_era5_moda_pl_19700501-19700531.nc va850/va850_era5_moda_pl_19700601-19700630.nc va850/va850_era5_moda_pl_19700701-19700731.nc va850/va850_era5_moda_pl_19700801-19700831.nc va850/va850_era5_moda_pl_19700901-19700930.nc va850/va850_era5_moda_pl_19701001-19701031.nc va850/va850_era5_moda_pl_19701101-19701130.nc va850/va850_era5_moda_pl_19701201-19701231.nc va850/va850_era5_moda_pl_19710101-19710131.nc va850/va850_era5_moda_pl_19710201-19710228.nc va850/va850_era5_moda_pl_19710301-19710331.nc va850/va850_era5_moda_pl_19710401-19710430.nc va850/va850_era5_moda_pl_19710501-19710531.nc va850/va850_era5_moda_pl_19710601-19710630.nc va850/va850_era5_moda_pl_19710701-19710731.nc va850/va850_era5_moda_pl_19710801-19710831.nc va850/va850_era5_moda_pl_19710901-19710930.nc va850/va850_era5_moda_pl_19711001-19711031.nc va850/va850_era5_moda_pl_19711101-19711130.nc va850/va850_era5_moda_pl_19711201-19711231.nc va850/va850_era5_moda_pl_19720101-19720131.nc va850/va850_era5_moda_pl_19720201-19720229.nc va850/va850_era5_moda_pl_19720301-19720331.nc va850/va850_era5_moda_pl_19720401-19720430.nc va850/va850_era5_moda_pl_19720501-19720531.nc va850/va850_era5_moda_pl_19720601-19720630.nc va850/va850_era5_moda_pl_19720701-19720731.nc va850/va850_era5_moda_pl_19720801-19720831.nc va850/va850_era5_moda_pl_19720901-19720930.nc va850/va850_era5_moda_pl_19721001-19721031.nc va850/va850_era5_moda_pl_19721101-19721130.nc va850/va850_era5_moda_pl_19721201-19721231.nc va850/va850_era5_moda_pl_19730101-19730131.nc va850/va850_era5_moda_pl_19730201-19730228.nc va850/va850_era5_moda_pl_19730301-19730331.nc va850/va850_era5_moda_pl_19730401-19730430.nc va850/va850_era5_moda_pl_19730501-19730531.nc va850/va850_era5_moda_pl_19730601-19730630.nc va850/va850_era5_moda_pl_19730701-19730731.nc va850/va850_era5_moda_pl_19730801-19730831.nc va850/va850_era5_moda_pl_19730901-19730930.nc va850/va850_era5_moda_pl_19731001-19731031.nc va850/va850_era5_moda_pl_19731101-19731130.nc va850/va850_era5_moda_pl_19731201-19731231.nc va850/va850_era5_moda_pl_19740101-19740131.nc va850/va850_era5_moda_pl_19740201-19740228.nc va850/va850_era5_moda_pl_19740301-19740331.nc va850/va850_era5_moda_pl_19740401-19740430.nc va850/va850_era5_moda_pl_19740501-19740531.nc va850/va850_era5_moda_pl_19740601-19740630.nc va850/va850_era5_moda_pl_19740701-19740731.nc va850/va850_era5_moda_pl_19740801-19740831.nc va850/va850_era5_moda_pl_19740901-19740930.nc va850/va850_era5_moda_pl_19741001-19741031.nc va850/va850_era5_moda_pl_19741101-19741130.nc va850/va850_era5_moda_pl_19741201-19741231.nc va850/va850_era5_moda_pl_19750101-19750131.nc va850/va850_era5_moda_pl_19750201-19750228.nc va850/va850_era5_moda_pl_19750301-19750331.nc va850/va850_era5_moda_pl_19750401-19750430.nc va850/va850_era5_moda_pl_19750501-19750531.nc va850/va850_era5_moda_pl_19750601-19750630.nc va850/va850_era5_moda_pl_19750701-19750731.nc va850/va850_era5_moda_pl_19750801-19750831.nc va850/va850_era5_moda_pl_19750901-19750930.nc va850/va850_era5_moda_pl_19751001-19751031.nc va850/va850_era5_moda_pl_19751101-19751130.nc va850/va850_era5_moda_pl_19751201-19751231.nc va850/va850_era5_moda_pl_19760101-19760131.nc va850/va850_era5_moda_pl_19760201-19760229.nc va850/va850_era5_moda_pl_19760301-19760331.nc va850/va850_era5_moda_pl_19760401-19760430.nc va850/va850_era5_moda_pl_19760501-19760531.nc va850/va850_era5_moda_pl_19760601-19760630.nc va850/va850_era5_moda_pl_19760701-19760731.nc va850/va850_era5_moda_pl_19760801-19760831.nc va850/va850_era5_moda_pl_19760901-19760930.nc va850/va850_era5_moda_pl_19761001-19761031.nc va850/va850_era5_moda_pl_19761101-19761130.nc va850/va850_era5_moda_pl_19761201-19761231.nc va850/va850_era5_moda_pl_19770101-19770131.nc va850/va850_era5_moda_pl_19770201-19770228.nc va850/va850_era5_moda_pl_19770301-19770331.nc va850/va850_era5_moda_pl_19770401-19770430.nc va850/va850_era5_moda_pl_19770501-19770531.nc va850/va850_era5_moda_pl_19770601-19770630.nc va850/va850_era5_moda_pl_19770701-19770731.nc va850/va850_era5_moda_pl_19770801-19770831.nc va850/va850_era5_moda_pl_19770901-19770930.nc va850/va850_era5_moda_pl_19771001-19771031.nc va850/va850_era5_moda_pl_19771101-19771130.nc va850/va850_era5_moda_pl_19771201-19771231.nc va850/va850_era5_moda_pl_19780101-19780131.nc va850/va850_era5_moda_pl_19780201-19780228.nc va850/va850_era5_moda_pl_19780301-19780331.nc va850/va850_era5_moda_pl_19780401-19780430.nc va850/va850_era5_moda_pl_19780501-19780531.nc va850/va850_era5_moda_pl_19780601-19780630.nc va850/va850_era5_moda_pl_19780701-19780731.nc va850/va850_era5_moda_pl_19780801-19780831.nc va850/va850_era5_moda_pl_19780901-19780930.nc va850/va850_era5_moda_pl_19781001-19781031.nc va850/va850_era5_moda_pl_19781101-19781130.nc va850/va850_era5_moda_pl_19781201-19781231.nc va850/va850_era5_moda_pl_19790101-19790131.nc va850/va850_era5_moda_pl_19790201-19790228.nc va850/va850_era5_moda_pl_19790301-19790331.nc va850/va850_era5_moda_pl_19790401-19790430.nc va850/va850_era5_moda_pl_19790501-19790531.nc va850/va850_era5_moda_pl_19790601-19790630.nc va850/va850_era5_moda_pl_19790701-19790731.nc va850/va850_era5_moda_pl_19790801-19790831.nc va850/va850_era5_moda_pl_19790901-19790930.nc va850/va850_era5_moda_pl_19791001-19791031.nc va850/va850_era5_moda_pl_19791101-19791130.nc va850/va850_era5_moda_pl_19791201-19791231.nc va850/va850_era5_moda_pl_19800101-19800131.nc va850/va850_era5_moda_pl_19800201-19800229.nc va850/va850_era5_moda_pl_19800301-19800331.nc va850/va850_era5_moda_pl_19800401-19800430.nc va850/va850_era5_moda_pl_19800501-19800531.nc va850/va850_era5_moda_pl_19800601-19800630.nc va850/va850_era5_moda_pl_19800701-19800731.nc va850/va850_era5_moda_pl_19800801-19800831.nc va850/va850_era5_moda_pl_19800901-19800930.nc va850/va850_era5_moda_pl_19801001-19801031.nc va850/va850_era5_moda_pl_19801101-19801130.nc va850/va850_era5_moda_pl_19801201-19801231.nc va850/va850_era5_moda_pl_19810101-19810131.nc va850/va850_era5_moda_pl_19810201-19810228.nc va850/va850_era5_moda_pl_19810301-19810331.nc va850/va850_era5_moda_pl_19810401-19810430.nc va850/va850_era5_moda_pl_19810501-19810531.nc va850/va850_era5_moda_pl_19810601-19810630.nc va850/va850_era5_moda_pl_19810701-19810731.nc va850/va850_era5_moda_pl_19810801-19810831.nc va850/va850_era5_moda_pl_19810901-19810930.nc va850/va850_era5_moda_pl_19811001-19811031.nc va850/va850_era5_moda_pl_19811101-19811130.nc va850/va850_era5_moda_pl_19811201-19811231.nc va850/va850_era5_moda_pl_19820101-19820131.nc va850/va850_era5_moda_pl_19820201-19820228.nc va850/va850_era5_moda_pl_19820301-19820331.nc va850/va850_era5_moda_pl_19820401-19820430.nc va850/va850_era5_moda_pl_19820501-19820531.nc va850/va850_era5_moda_pl_19820601-19820630.nc va850/va850_era5_moda_pl_19820701-19820731.nc va850/va850_era5_moda_pl_19820801-19820831.nc va850/va850_era5_moda_pl_19820901-19820930.nc va850/va850_era5_moda_pl_19821001-19821031.nc va850/va850_era5_moda_pl_19821101-19821130.nc va850/va850_era5_moda_pl_19821201-19821231.nc va850/va850_era5_moda_pl_19830101-19830131.nc va850/va850_era5_moda_pl_19830201-19830228.nc va850/va850_era5_moda_pl_19830301-19830331.nc va850/va850_era5_moda_pl_19830401-19830430.nc va850/va850_era5_moda_pl_19830501-19830531.nc va850/va850_era5_moda_pl_19830601-19830630.nc va850/va850_era5_moda_pl_19830701-19830731.nc va850/va850_era5_moda_pl_19830801-19830831.nc va850/va850_era5_moda_pl_19830901-19830930.nc va850/va850_era5_moda_pl_19831001-19831031.nc va850/va850_era5_moda_pl_19831101-19831130.nc va850/va850_era5_moda_pl_19831201-19831231.nc va850/va850_era5_moda_pl_19840101-19840131.nc va850/va850_era5_moda_pl_19840201-19840229.nc va850/va850_era5_moda_pl_19840301-19840331.nc va850/va850_era5_moda_pl_19840401-19840430.nc va850/va850_era5_moda_pl_19840501-19840531.nc va850/va850_era5_moda_pl_19840601-19840630.nc va850/va850_era5_moda_pl_19840701-19840731.nc va850/va850_era5_moda_pl_19840801-19840831.nc va850/va850_era5_moda_pl_19840901-19840930.nc va850/va850_era5_moda_pl_19841001-19841031.nc va850/va850_era5_moda_pl_19841101-19841130.nc va850/va850_era5_moda_pl_19841201-19841231.nc va850/va850_era5_moda_pl_19850101-19850131.nc va850/va850_era5_moda_pl_19850201-19850228.nc va850/va850_era5_moda_pl_19850301-19850331.nc va850/va850_era5_moda_pl_19850401-19850430.nc va850/va850_era5_moda_pl_19850501-19850531.nc va850/va850_era5_moda_pl_19850601-19850630.nc va850/va850_era5_moda_pl_19850701-19850731.nc va850/va850_era5_moda_pl_19850801-19850831.nc va850/va850_era5_moda_pl_19850901-19850930.nc va850/va850_era5_moda_pl_19851001-19851031.nc va850/va850_era5_moda_pl_19851101-19851130.nc va850/va850_era5_moda_pl_19851201-19851231.nc va850/va850_era5_moda_pl_19860101-19860131.nc va850/va850_era5_moda_pl_19860201-19860228.nc va850/va850_era5_moda_pl_19860301-19860331.nc va850/va850_era5_moda_pl_19860401-19860430.nc va850/va850_era5_moda_pl_19860501-19860531.nc va850/va850_era5_moda_pl_19860601-19860630.nc va850/va850_era5_moda_pl_19860701-19860731.nc va850/va850_era5_moda_pl_19860801-19860831.nc va850/va850_era5_moda_pl_19860901-19860930.nc va850/va850_era5_moda_pl_19861001-19861031.nc va850/va850_era5_moda_pl_19861101-19861130.nc va850/va850_era5_moda_pl_19861201-19861231.nc va850/va850_era5_moda_pl_19870101-19870131.nc va850/va850_era5_moda_pl_19870201-19870228.nc va850/va850_era5_moda_pl_19870301-19870331.nc va850/va850_era5_moda_pl_19870401-19870430.nc va850/va850_era5_moda_pl_19870501-19870531.nc va850/va850_era5_moda_pl_19870601-19870630.nc va850/va850_era5_moda_pl_19870701-19870731.nc va850/va850_era5_moda_pl_19870801-19870831.nc va850/va850_era5_moda_pl_19870901-19870930.nc va850/va850_era5_moda_pl_19871001-19871031.nc va850/va850_era5_moda_pl_19871101-19871130.nc va850/va850_era5_moda_pl_19871201-19871231.nc va850/va850_era5_moda_pl_19880101-19880131.nc va850/va850_era5_moda_pl_19880201-19880229.nc va850/va850_era5_moda_pl_19880301-19880331.nc va850/va850_era5_moda_pl_19880401-19880430.nc va850/va850_era5_moda_pl_19880501-19880531.nc va850/va850_era5_moda_pl_19880601-19880630.nc va850/va850_era5_moda_pl_19880701-19880731.nc va850/va850_era5_moda_pl_19880801-19880831.nc va850/va850_era5_moda_pl_19880901-19880930.nc va850/va850_era5_moda_pl_19881001-19881031.nc va850/va850_era5_moda_pl_19881101-19881130.nc va850/va850_era5_moda_pl_19881201-19881231.nc va850/va850_era5_moda_pl_19890101-19890131.nc va850/va850_era5_moda_pl_19890201-19890228.nc va850/va850_era5_moda_pl_19890301-19890331.nc va850/va850_era5_moda_pl_19890401-19890430.nc va850/va850_era5_moda_pl_19890501-19890531.nc va850/va850_era5_moda_pl_19890601-19890630.nc va850/va850_era5_moda_pl_19890701-19890731.nc va850/va850_era5_moda_pl_19890801-19890831.nc va850/va850_era5_moda_pl_19890901-19890930.nc va850/va850_era5_moda_pl_19891001-19891031.nc va850/va850_era5_moda_pl_19891101-19891130.nc va850/va850_era5_moda_pl_19891201-19891231.nc va850/va850_era5_moda_pl_19900101-19900131.nc va850/va850_era5_moda_pl_19900201-19900228.nc va850/va850_era5_moda_pl_19900301-19900331.nc va850/va850_era5_moda_pl_19900401-19900430.nc va850/va850_era5_moda_pl_19900501-19900531.nc va850/va850_era5_moda_pl_19900601-19900630.nc va850/va850_era5_moda_pl_19900701-19900731.nc va850/va850_era5_moda_pl_19900801-19900831.nc va850/va850_era5_moda_pl_19900901-19900930.nc va850/va850_era5_moda_pl_19901001-19901031.nc va850/va850_era5_moda_pl_19901101-19901130.nc va850/va850_era5_moda_pl_19901201-19901231.nc va850/va850_era5_moda_pl_19910101-19910131.nc va850/va850_era5_moda_pl_19910201-19910228.nc va850/va850_era5_moda_pl_19910301-19910331.nc va850/va850_era5_moda_pl_19910401-19910430.nc va850/va850_era5_moda_pl_19910501-19910531.nc va850/va850_era5_moda_pl_19910601-19910630.nc va850/va850_era5_moda_pl_19910701-19910731.nc va850/va850_era5_moda_pl_19910801-19910831.nc va850/va850_era5_moda_pl_19910901-19910930.nc va850/va850_era5_moda_pl_19911001-19911031.nc va850/va850_era5_moda_pl_19911101-19911130.nc va850/va850_era5_moda_pl_19911201-19911231.nc va850/va850_era5_moda_pl_19920101-19920131.nc va850/va850_era5_moda_pl_19920201-19920229.nc va850/va850_era5_moda_pl_19920301-19920331.nc va850/va850_era5_moda_pl_19920401-19920430.nc va850/va850_era5_moda_pl_19920501-19920531.nc va850/va850_era5_moda_pl_19920601-19920630.nc va850/va850_era5_moda_pl_19920701-19920731.nc va850/va850_era5_moda_pl_19920801-19920831.nc va850/va850_era5_moda_pl_19920901-19920930.nc va850/va850_era5_moda_pl_19921001-19921031.nc va850/va850_era5_moda_pl_19921101-19921130.nc va850/va850_era5_moda_pl_19921201-19921231.nc va850/va850_era5_moda_pl_19930101-19930131.nc va850/va850_era5_moda_pl_19930201-19930228.nc va850/va850_era5_moda_pl_19930301-19930331.nc va850/va850_era5_moda_pl_19930401-19930430.nc va850/va850_era5_moda_pl_19930501-19930531.nc va850/va850_era5_moda_pl_19930601-19930630.nc va850/va850_era5_moda_pl_19930701-19930731.nc va850/va850_era5_moda_pl_19930801-19930831.nc va850/va850_era5_moda_pl_19930901-19930930.nc va850/va850_era5_moda_pl_19931001-19931031.nc va850/va850_era5_moda_pl_19931101-19931130.nc va850/va850_era5_moda_pl_19931201-19931231.nc va850/va850_era5_moda_pl_19940101-19940131.nc va850/va850_era5_moda_pl_19940201-19940228.nc va850/va850_era5_moda_pl_19940301-19940331.nc va850/va850_era5_moda_pl_19940401-19940430.nc va850/va850_era5_moda_pl_19940501-19940531.nc va850/va850_era5_moda_pl_19940601-19940630.nc va850/va850_era5_moda_pl_19940701-19940731.nc va850/va850_era5_moda_pl_19940801-19940831.nc va850/va850_era5_moda_pl_19940901-19940930.nc va850/va850_era5_moda_pl_19941001-19941031.nc va850/va850_era5_moda_pl_19941101-19941130.nc va850/va850_era5_moda_pl_19941201-19941231.nc va850/va850_era5_moda_pl_19950101-19950131.nc va850/va850_era5_moda_pl_19950201-19950228.nc va850/va850_era5_moda_pl_19950301-19950331.nc va850/va850_era5_moda_pl_19950401-19950430.nc va850/va850_era5_moda_pl_19950501-19950531.nc va850/va850_era5_moda_pl_19950601-19950630.nc va850/va850_era5_moda_pl_19950701-19950731.nc va850/va850_era5_moda_pl_19950801-19950831.nc va850/va850_era5_moda_pl_19950901-19950930.nc va850/va850_era5_moda_pl_19951001-19951031.nc va850/va850_era5_moda_pl_19951101-19951130.nc va850/va850_era5_moda_pl_19951201-19951231.nc va850/va850_era5_moda_pl_19960101-19960131.nc va850/va850_era5_moda_pl_19960201-19960229.nc va850/va850_era5_moda_pl_19960301-19960331.nc va850/va850_era5_moda_pl_19960401-19960430.nc va850/va850_era5_moda_pl_19960501-19960531.nc va850/va850_era5_moda_pl_19960601-19960630.nc va850/va850_era5_moda_pl_19960701-19960731.nc va850/va850_era5_moda_pl_19960801-19960831.nc va850/va850_era5_moda_pl_19960901-19960930.nc va850/va850_era5_moda_pl_19961001-19961031.nc va850/va850_era5_moda_pl_19961101-19961130.nc va850/va850_era5_moda_pl_19961201-19961231.nc va850/va850_era5_moda_pl_19970101-19970131.nc va850/va850_era5_moda_pl_19970201-19970228.nc va850/va850_era5_moda_pl_19970301-19970331.nc va850/va850_era5_moda_pl_19970401-19970430.nc va850/va850_era5_moda_pl_19970501-19970531.nc va850/va850_era5_moda_pl_19970601-19970630.nc va850/va850_era5_moda_pl_19970701-19970731.nc va850/va850_era5_moda_pl_19970801-19970831.nc va850/va850_era5_moda_pl_19970901-19970930.nc va850/va850_era5_moda_pl_19971001-19971031.nc va850/va850_era5_moda_pl_19971101-19971130.nc va850/va850_era5_moda_pl_19971201-19971231.nc va850/va850_era5_moda_pl_19980101-19980131.nc va850/va850_era5_moda_pl_19980201-19980228.nc va850/va850_era5_moda_pl_19980301-19980331.nc va850/va850_era5_moda_pl_19980401-19980430.nc va850/va850_era5_moda_pl_19980501-19980531.nc va850/va850_era5_moda_pl_19980601-19980630.nc va850/va850_era5_moda_pl_19980701-19980731.nc va850/va850_era5_moda_pl_19980801-19980831.nc va850/va850_era5_moda_pl_19980901-19980930.nc va850/va850_era5_moda_pl_19981001-19981031.nc va850/va850_era5_moda_pl_19981101-19981130.nc va850/va850_era5_moda_pl_19981201-19981231.nc va850/va850_era5_moda_pl_19990101-19990131.nc va850/va850_era5_moda_pl_19990201-19990228.nc va850/va850_era5_moda_pl_19990301-19990331.nc va850/va850_era5_moda_pl_19990401-19990430.nc va850/va850_era5_moda_pl_19990501-19990531.nc va850/va850_era5_moda_pl_19990601-19990630.nc va850/va850_era5_moda_pl_19990701-19990731.nc va850/va850_era5_moda_pl_19990801-19990831.nc va850/va850_era5_moda_pl_19990901-19990930.nc va850/va850_era5_moda_pl_19991001-19991031.nc va850/va850_era5_moda_pl_19991101-19991130.nc va850/va850_era5_moda_pl_19991201-19991231.nc va850/va850_era5_moda_pl_20000101-20000131.nc va850/va850_era5_moda_pl_20000201-20000229.nc va850/va850_era5_moda_pl_20000301-20000331.nc va850/va850_era5_moda_pl_20000401-20000430.nc va850/va850_era5_moda_pl_20000501-20000531.nc va850/va850_era5_moda_pl_20000601-20000630.nc va850/va850_era5_moda_pl_20000701-20000731.nc va850/va850_era5_moda_pl_20000801-20000831.nc va850/va850_era5_moda_pl_20000901-20000930.nc va850/va850_era5_moda_pl_20001001-20001031.nc va850/va850_era5_moda_pl_20001101-20001130.nc va850/va850_era5_moda_pl_20001201-20001231.nc va850/va850_era5_moda_pl_20010101-20010131.nc va850/va850_era5_moda_pl_20010201-20010228.nc va850/va850_era5_moda_pl_20010301-20010331.nc va850/va850_era5_moda_pl_20010401-20010430.nc va850/va850_era5_moda_pl_20010501-20010531.nc va850/va850_era5_moda_pl_20010601-20010630.nc va850/va850_era5_moda_pl_20010701-20010731.nc va850/va850_era5_moda_pl_20010801-20010831.nc va850/va850_era5_moda_pl_20010901-20010930.nc va850/va850_era5_moda_pl_20011001-20011031.nc va850/va850_era5_moda_pl_20011101-20011130.nc va850/va850_era5_moda_pl_20011201-20011231.nc va850/va850_era5_moda_pl_20020101-20020131.nc va850/va850_era5_moda_pl_20020201-20020228.nc va850/va850_era5_moda_pl_20020301-20020331.nc va850/va850_era5_moda_pl_20020401-20020430.nc va850/va850_era5_moda_pl_20020501-20020531.nc va850/va850_era5_moda_pl_20020601-20020630.nc va850/va850_era5_moda_pl_20020701-20020731.nc va850/va850_era5_moda_pl_20020801-20020831.nc va850/va850_era5_moda_pl_20020901-20020930.nc va850/va850_era5_moda_pl_20021001-20021031.nc va850/va850_era5_moda_pl_20021101-20021130.nc va850/va850_era5_moda_pl_20021201-20021231.nc va850/va850_era5_moda_pl_20030101-20030131.nc va850/va850_era5_moda_pl_20030201-20030228.nc va850/va850_era5_moda_pl_20030301-20030331.nc va850/va850_era5_moda_pl_20030401-20030430.nc va850/va850_era5_moda_pl_20030501-20030531.nc va850/va850_era5_moda_pl_20030601-20030630.nc va850/va850_era5_moda_pl_20030701-20030731.nc va850/va850_era5_moda_pl_20030801-20030831.nc va850/va850_era5_moda_pl_20030901-20030930.nc va850/va850_era5_moda_pl_20031001-20031031.nc va850/va850_era5_moda_pl_20031101-20031130.nc va850/va850_era5_moda_pl_20031201-20031231.nc va850/va850_era5_moda_pl_20040101-20040131.nc va850/va850_era5_moda_pl_20040201-20040229.nc va850/va850_era5_moda_pl_20040301-20040331.nc va850/va850_era5_moda_pl_20040401-20040430.nc va850/va850_era5_moda_pl_20040501-20040531.nc va850/va850_era5_moda_pl_20040601-20040630.nc va850/va850_era5_moda_pl_20040701-20040731.nc va850/va850_era5_moda_pl_20040801-20040831.nc va850/va850_era5_moda_pl_20040901-20040930.nc va850/va850_era5_moda_pl_20041001-20041031.nc va850/va850_era5_moda_pl_20041101-20041130.nc va850/va850_era5_moda_pl_20041201-20041231.nc va850/va850_era5_moda_pl_20050101-20050131.nc va850/va850_era5_moda_pl_20050201-20050228.nc va850/va850_era5_moda_pl_20050301-20050331.nc va850/va850_era5_moda_pl_20050401-20050430.nc va850/va850_era5_moda_pl_20050501-20050531.nc va850/va850_era5_moda_pl_20050601-20050630.nc va850/va850_era5_moda_pl_20050701-20050731.nc va850/va850_era5_moda_pl_20050801-20050831.nc va850/va850_era5_moda_pl_20050901-20050930.nc va850/va850_era5_moda_pl_20051001-20051031.nc va850/va850_era5_moda_pl_20051101-20051130.nc va850/va850_era5_moda_pl_20051201-20051231.nc va850/va850_era5_moda_pl_20060101-20060131.nc va850/va850_era5_moda_pl_20060201-20060228.nc va850/va850_era5_moda_pl_20060301-20060331.nc va850/va850_era5_moda_pl_20060401-20060430.nc va850/va850_era5_moda_pl_20060501-20060531.nc va850/va850_era5_moda_pl_20060601-20060630.nc va850/va850_era5_moda_pl_20060701-20060731.nc va850/va850_era5_moda_pl_20060801-20060831.nc va850/va850_era5_moda_pl_20060901-20060930.nc va850/va850_era5_moda_pl_20061001-20061031.nc va850/va850_era5_moda_pl_20061101-20061130.nc va850/va850_era5_moda_pl_20061201-20061231.nc va850/va850_era5_moda_pl_20070101-20070131.nc va850/va850_era5_moda_pl_20070201-20070228.nc va850/va850_era5_moda_pl_20070301-20070331.nc va850/va850_era5_moda_pl_20070401-20070430.nc va850/va850_era5_moda_pl_20070501-20070531.nc va850/va850_era5_moda_pl_20070601-20070630.nc va850/va850_era5_moda_pl_20070701-20070731.nc va850/va850_era5_moda_pl_20070801-20070831.nc va850/va850_era5_moda_pl_20070901-20070930.nc va850/va850_era5_moda_pl_20071001-20071031.nc va850/va850_era5_moda_pl_20071101-20071130.nc va850/va850_era5_moda_pl_20071201-20071231.nc va850/va850_era5_moda_pl_20080101-20080131.nc va850/va850_era5_moda_pl_20080201-20080229.nc va850/va850_era5_moda_pl_20080301-20080331.nc va850/va850_era5_moda_pl_20080401-20080430.nc va850/va850_era5_moda_pl_20080501-20080531.nc va850/va850_era5_moda_pl_20080601-20080630.nc va850/va850_era5_moda_pl_20080701-20080731.nc va850/va850_era5_moda_pl_20080801-20080831.nc va850/va850_era5_moda_pl_20080901-20080930.nc va850/va850_era5_moda_pl_20081001-20081031.nc va850/va850_era5_moda_pl_20081101-20081130.nc va850/va850_era5_moda_pl_20081201-20081231.nc va850/va850_era5_moda_pl_20090101-20090131.nc va850/va850_era5_moda_pl_20090201-20090228.nc va850/va850_era5_moda_pl_20090301-20090331.nc va850/va850_era5_moda_pl_20090401-20090430.nc va850/va850_era5_moda_pl_20090501-20090531.nc va850/va850_era5_moda_pl_20090601-20090630.nc va850/va850_era5_moda_pl_20090701-20090731.nc va850/va850_era5_moda_pl_20090801-20090831.nc va850/va850_era5_moda_pl_20090901-20090930.nc va850/va850_era5_moda_pl_20091001-20091031.nc va850/va850_era5_moda_pl_20091101-20091130.nc va850/va850_era5_moda_pl_20091201-20091231.nc va850/va850_era5_moda_pl_20100101-20100131.nc va850/va850_era5_moda_pl_20100201-20100228.nc va850/va850_era5_moda_pl_20100301-20100331.nc va850/va850_era5_moda_pl_20100401-20100430.nc va850/va850_era5_moda_pl_20100501-20100531.nc va850/va850_era5_moda_pl_20100601-20100630.nc va850/va850_era5_moda_pl_20100701-20100731.nc va850/va850_era5_moda_pl_20100801-20100831.nc va850/va850_era5_moda_pl_20100901-20100930.nc va850/va850_era5_moda_pl_20101001-20101031.nc va850/va850_era5_moda_pl_20101101-20101130.nc va850/va850_era5_moda_pl_20101201-20101231.nc va850/va850_era5_moda_pl_20110101-20110131.nc va850/va850_era5_moda_pl_20110201-20110228.nc va850/va850_era5_moda_pl_20110301-20110331.nc va850/va850_era5_moda_pl_20110401-20110430.nc va850/va850_era5_moda_pl_20110501-20110531.nc va850/va850_era5_moda_pl_20110601-20110630.nc va850/va850_era5_moda_pl_20110701-20110731.nc va850/va850_era5_moda_pl_20110801-20110831.nc va850/va850_era5_moda_pl_20110901-20110930.nc va850/va850_era5_moda_pl_20111001-20111031.nc va850/va850_era5_moda_pl_20111101-20111130.nc va850/va850_era5_moda_pl_20111201-20111231.nc va850/va850_era5_moda_pl_20120101-20120131.nc va850/va850_era5_moda_pl_20120201-20120229.nc va850/va850_era5_moda_pl_20120301-20120331.nc va850/va850_era5_moda_pl_20120401-20120430.nc va850/va850_era5_moda_pl_20120501-20120531.nc va850/va850_era5_moda_pl_20120601-20120630.nc va850/va850_era5_moda_pl_20120701-20120731.nc va850/va850_era5_moda_pl_20120801-20120831.nc va850/va850_era5_moda_pl_20120901-20120930.nc va850/va850_era5_moda_pl_20121001-20121031.nc va850/va850_era5_moda_pl_20121101-20121130.nc va850/va850_era5_moda_pl_20121201-20121231.nc va850/va850_era5_moda_pl_20130101-20130131.nc va850/va850_era5_moda_pl_20130201-20130228.nc va850/va850_era5_moda_pl_20130301-20130331.nc va850/va850_era5_moda_pl_20130401-20130430.nc va850/va850_era5_moda_pl_20130501-20130531.nc va850/va850_era5_moda_pl_20130601-20130630.nc va850/va850_era5_moda_pl_20130701-20130731.nc va850/va850_era5_moda_pl_20130801-20130831.nc va850/va850_era5_moda_pl_20130901-20130930.nc va850/va850_era5_moda_pl_20131001-20131031.nc va850/va850_era5_moda_pl_20131101-20131130.nc va850/va850_era5_moda_pl_20131201-20131231.nc va850/va850_era5_moda_pl_20140101-20140131.nc va850/va850_era5_moda_pl_20140201-20140228.nc va850/va850_era5_moda_pl_20140301-20140331.nc va850/va850_era5_moda_pl_20140401-20140430.nc va850/va850_era5_moda_pl_20140501-20140531.nc va850/va850_era5_moda_pl_20140601-20140630.nc va850/va850_era5_moda_pl_20140701-20140731.nc va850/va850_era5_moda_pl_20140801-20140831.nc va850/va850_era5_moda_pl_20140901-20140930.nc va850/va850_era5_moda_pl_20141001-20141031.nc va850/va850_era5_moda_pl_20141101-20141130.nc va850/va850_era5_moda_pl_20141201-20141231.nc va850/va850_era5_moda_pl_20150101-20150131.nc va850/va850_era5_moda_pl_20150201-20150228.nc va850/va850_era5_moda_pl_20150301-20150331.nc va850/va850_era5_moda_pl_20150401-20150430.nc va850/va850_era5_moda_pl_20150501-20150531.nc va850/va850_era5_moda_pl_20150601-20150630.nc va850/va850_era5_moda_pl_20150701-20150731.nc va850/va850_era5_moda_pl_20150801-20150831.nc va850/va850_era5_moda_pl_20150901-20150930.nc va850/va850_era5_moda_pl_20151001-20151031.nc va850/va850_era5_moda_pl_20151101-20151130.nc va850/va850_era5_moda_pl_20151201-20151231.nc va850/va850_era5_moda_pl_20160101-20160131.nc va850/va850_era5_moda_pl_20160201-20160229.nc va850/va850_era5_moda_pl_20160301-20160331.nc va850/va850_era5_moda_pl_20160401-20160430.nc va850/va850_era5_moda_pl_20160501-20160531.nc va850/va850_era5_moda_pl_20160601-20160630.nc va850/va850_era5_moda_pl_20160701-20160731.nc va850/va850_era5_moda_pl_20160801-20160831.nc va850/va850_era5_moda_pl_20160901-20160930.nc va850/va850_era5_moda_pl_20161001-20161031.nc va850/va850_era5_moda_pl_20161101-20161130.nc va850/va850_era5_moda_pl_20161201-20161231.nc va850/va850_era5_moda_pl_20170101-20170131.nc va850/va850_era5_moda_pl_20170201-20170228.nc va850/va850_era5_moda_pl_20170301-20170331.nc va850/va850_era5_moda_pl_20170401-20170430.nc va850/va850_era5_moda_pl_20170501-20170531.nc va850/va850_era5_moda_pl_20170601-20170630.nc va850/va850_era5_moda_pl_20170701-20170731.nc va850/va850_era5_moda_pl_20170801-20170831.nc va850/va850_era5_moda_pl_20170901-20170930.nc va850/va850_era5_moda_pl_20171001-20171031.nc va850/va850_era5_moda_pl_20171101-20171130.nc va850/va850_era5_moda_pl_20171201-20171231.nc va850/va850_era5_moda_pl_20180101-20180131.nc va850/va850_era5_moda_pl_20180201-20180228.nc va850/va850_era5_moda_pl_20180301-20180331.nc va850/va850_era5_moda_pl_20180401-20180430.nc va850/va850_era5_moda_pl_20180501-20180531.nc va850/va850_era5_moda_pl_20180601-20180630.nc va850/va850_era5_moda_pl_20180701-20180731.nc va850/va850_era5_moda_pl_20180801-20180831.nc va850/va850_era5_moda_pl_20180901-20180930.nc va850/va850_era5_moda_pl_20181001-20181031.nc va850/va850_era5_moda_pl_20181101-20181130.nc va850/va850_era5_moda_pl_20181201-20181231.nc va850/va850_era5_moda_pl_20190101-20190131.nc va850/va850_era5_moda_pl_20190201-20190228.nc va850/va850_era5_moda_pl_20190301-20190331.nc va850/va850_era5_moda_pl_20190401-20190430.nc va850/va850_era5_moda_pl_20190501-20190531.nc va850/va850_era5_moda_pl_20190601-20190630.nc va850/va850_era5_moda_pl_20190701-20190731.nc va850/va850_era5_moda_pl_20190801-20190831.nc va850/va850_era5_moda_pl_20190901-20190930.nc va850/va850_era5_moda_pl_20191001-20191031.nc va850/va850_era5_moda_pl_20191101-20191130.nc va850/va850_era5_moda_pl_20191201-20191231.nc va850/va850_era5_moda_pl_20200101-20200131.nc va850/va850_era5_moda_pl_20200201-20200229.nc va850/va850_era5_moda_pl_20200301-20200331.nc va850/va850_era5_moda_pl_20200401-20200430.nc va850/va850_era5_moda_pl_20200501-20200531.nc va850/va850_era5_moda_pl_20200601-20200630.nc va850/va850_era5_moda_pl_20200701-20200731.nc va850/va850_era5_moda_pl_20200801-20200831.nc va850/va850_era5_moda_pl_20200901-20200930.nc va850/va850_era5_moda_pl_20201001-20201031.nc va850/va850_era5_moda_pl_20201101-20201130.nc va850/va850_era5_moda_pl_20201201-20201231.nc va850/va850_era5_moda_pl_20210101-20210131.nc va850/va850_era5_moda_pl_20210201-20210228.nc va850/va850_era5_moda_pl_20210301-20210331.nc va850/va850_era5_moda_pl_20210401-20210430.nc va850/va850_era5_moda_pl_20210501-20210531.nc va850/va850_era5_moda_pl_20210601-20210630.nc va850/va850_era5_moda_pl_20210701-20210731.nc va850/va850_era5_moda_pl_20210801-20210831.nc va850/va850_era5_moda_pl_20210901-20210930.nc va850/va850_era5_moda_pl_20211001-20211031.nc va850/va850_era5_moda_pl_20211101-20211130.nc va850/va850_era5_moda_pl_20211201-20211231.nc va850/va850_era5_moda_pl_20220101-20220131.nc va850/va850_era5_moda_pl_20220201-20220228.nc va850/va850_era5_moda_pl_20220301-20220331.nc va850/va850_era5_moda_pl_20220401-20220430.nc va850/va850_era5_moda_pl_20220501-20220531.nc va850/va850_era5_moda_pl_20220601-20220630.nc va850/va850_era5_moda_pl_20220701-20220731.nc va850/va850_era5_moda_pl_20220801-20220831.nc va850/va850_era5_moda_pl_19590101-20220831.nc Wed Dec 14 17:44:35 2022: cdo -b F64 -vertsum -sellevel,850 -chname,v,va850 /g/data/rt52/era5/pressure-levels/monthly-averaged/v/1959/v_era5_moda_pl_19590101-19590131.nc ./va850/va850_era5_moda_pl_19590101-19590131.nc 2022-07-30 02:45:15 UTC+1000 by era5_replication_tools-1.10.2: mv /g/data/rt52/admin/incoming/era5/pressure-levels/monthly-averaged/v/1959/v_era5_moda_pl_19590101-19590131.tmp /g/data/rt52/era5/pressure-levels/monthly-averaged/v/1959/v_era5_moda_pl_19590101-19590131.nc 2022-07-30 02:45:11 UTC+1000 by era5_replication_tools-1.10.2: nccopy -m1G -h1G -k4 -d5 -s -Vlongitude,latitude,level,time,v /g/data/id28/admin/incoming/era5/pressure-levels/monthly-averaged/d/1959/multiple_era5_moda_pl_19590101-19590131.nc /g/data/rt52/admin/incoming/era5/pressure-levels/monthly-averaged/v/1959/v_era5_moda_pl_19590101-19590131.tmp 2022-07-30 02:42:38 UTC+1000 by era5_replication_tools-1.10.2: curl --connect-timeout 20 --show-error --silent --max-time 36000 -o /g/data/id28/admin/incoming/era5/pressure-levels/monthly-averaged/d/1959/multiple_era5_moda_pl_19590101-19590131.nc https://download-0016.copernicus-climate.eu/cache-compute-0016/cache/data5/adaptor.mars.internal-1659112934.355367-17437-13-ef6291cd-0709-45d4-9e01-c3ac68330fc9.nc 2022-07-29 16:42:22 GMT by grib_to_netcdf-2.25.1: /opt/ecmwf/mars-client/bin/grib_to_netcdf.bin -S param -o /cache/data5/adaptor.mars.internal-1659112934.355367-17437-13-ef6291cd-0709-45d4-9e01-c3ac68330fc9.nc /cache/tmp/ef6291cd-0709-45d4-9e01-c3ac68330fc9-adaptor.mars.internal-1659112906.5410028-17437-22-tmp.grib

  Conventions:
CF-1.6

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

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

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

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