Mean State

Download Data
Period Mean (original grids) [K]
Model Period Mean (intersection) [K]
Benchmark Period Mean (intersection) [K]
Model Period Mean (complement) [K]
Benchmark Period Mean (complement) [K]
Bias [K]
RMSE [K]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 278.
ACCESS-CM2_BARPA [-] 279. 279. 278. 0.131 0.596 0.840 0.937 0.800 0.946 1.00 0.897
ACCESS-CM2_CCAM [-] 279. 279. 278. 0.141 0.609 0.426 0.930 0.800 0.973 1.00 0.900
ACCESS-CM2_CMIP6 [-] 279. 279. 278. 0.0861 0.591 0.414 0.935 0.802 0.973 0.999 0.902
ACCESS-ESM1-5_BARPA [-] 279. 279. 278. 0.562 0.851 0.304 0.827 0.785 0.980 0.993 0.874
ACCESS-ESM1-5_CCAM [-] 279. 279. 278. 0.957 1.19 0.247 0.685 0.757 0.984 1.00 0.836
ACCESS-ESM1-5_CMIP6 [-] 280. 280. 278. 1.16 1.34 0.138 0.636 0.766 0.991 0.999 0.832
CESM2_BARPA [-] 278. 278. 278. 0.0277 0.671 0.329 0.868 0.805 0.972 0.985 0.887
CESM2_CCAM [-] 278. 278. 278. -0.609 0.876 0.819 0.809 0.803 0.928 0.998 0.868
CMCC-ESM2_BARPA [-] 279. 279. 278. 0.269 0.692 0.190 0.876 0.794 0.985 0.996 0.889
CMCC-ESM2_CCAM [-] 279. 279. 278. 0.0807 0.447 0.504 0.949 0.855 0.962 1.00 0.924
CMCC-ESM2_CMIP6 [-] 279. 279. 278. 0.0772 0.444 0.502 0.952 0.855 0.960 1.00 0.925
CNRM-ESM2-1_CCAM [-] 276. 276. 278. -2.27 2.34 0.569 0.426 0.806 0.963 0.980 0.797
CNRM-ESM2-1_CMIP6 [-] 276. 276. 278. -2.30 2.37 0.534 0.422 0.801 0.966 0.982 0.795
EC-Earth3_BARPA [-] 279. 279. 278. 0.110 0.893 0.109 0.850 0.739 0.993 0.979 0.860
EC-Earth3_CCAM [-] 279. 279. 278. 0.298 0.770 0.153 0.870 0.798 0.990 0.976 0.886
EC-Earth3_CMIP6 [-] 279. 279. 278. 0.307 0.754 0.130 0.872 0.801 0.992 0.976 0.888
ERA5_BARPA [-] 278. 278. 278. -0.244 0.404 0.0843 0.889 0.876 0.994 0.999 0.927
ERA5_CCAM [-] 278. 278. 278. -0.0218 0.0883 0.0394 0.973 0.973 0.997 1.00 0.983
MPI-ESM1-2-HR_BARPA [-] 279. 279. 278. 0.326 0.558 0.194 0.887 0.855 0.976 1.00 0.914
NorESM2-MM_BARPA [-] 278. 278. 278. -0.164 0.803 0.251 0.830 0.803 0.982 0.974 0.879
NorESM2-MM_CCAM [-] 278. 278. 278. -0.503 0.739 0.380 0.851 0.825 0.969 0.993 0.893
NorESM2-MM_CMIP6 [-] 278. 278. 278. -0.514 0.739 0.376 0.840 0.824 0.968 0.995 0.890
Download Data
Period Mean (original grids) [K]
Model Period Mean (intersection) [K]
Benchmark Period Mean (intersection) [K]
Model Period Mean (complement) [K]
Benchmark Period Mean (complement) [K]
Bias [K]
RMSE [K]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 276.
ACCESS-CM2_BARPA [-] 276. 276. 276. 0.257 0.563 0.983 0.927 0.862 0.937 0.998 0.923
ACCESS-CM2_CCAM [-] 276. 276. 276. 0.305 0.610 0.819 0.915 0.855 0.947 0.995 0.920
ACCESS-CM2_CMIP6 [-] 276. 276. 276. 0.312 0.601 0.658 0.913 0.860 0.958 0.997 0.924
ACCESS-ESM1-5_BARPA [-] 277. 277. 276. 0.884 1.05 0.949 0.770 0.849 0.939 0.981 0.881
ACCESS-ESM1-5_CCAM [-] 277. 277. 276. 1.21 1.42 0.601 0.697 0.802 0.961 0.997 0.857
ACCESS-ESM1-5_CMIP6 [-] 277. 277. 276. 1.46 1.62 0.334 0.652 0.814 0.979 0.996 0.855
CESM2_BARPA [-] 276. 276. 276. -0.000658 0.500 0.983 0.972 0.865 0.937 0.991 0.933
CESM2_CCAM [-] 276. 276. 276. -0.233 0.584 0.983 0.934 0.853 0.937 0.999 0.922
CMCC-ESM2_BARPA [-] 276. 276. 276. 0.219 0.468 0.00 0.936 0.885 1.00 0.999 0.947
CMCC-ESM2_CCAM [-] 276. 276. 276. 0.220 0.462 0.983 0.937 0.886 0.937 1.00 0.934
CMCC-ESM2_CMIP6 [-] 276. 276. 276. 0.297 0.514 0.983 0.915 0.885 0.937 0.999 0.929
CNRM-ESM2-1_CCAM [-] 274. 274. 276. -2.03 2.14 0.983 0.547 0.816 0.937 0.912 0.804
CNRM-ESM2-1_CMIP6 [-] 274. 274. 276. -2.06 2.16 0.983 0.540 0.824 0.937 0.931 0.810
EC-Earth3_BARPA [-] 276. 276. 276. 0.320 0.790 0.123 0.913 0.813 0.992 0.945 0.904
EC-Earth3_CCAM [-] 276. 276. 276. 0.449 0.793 0.0187 0.881 0.830 0.999 0.937 0.903
EC-Earth3_CMIP6 [-] 276. 276. 276. 0.515 0.828 0.00 0.863 0.831 1.00 0.941 0.900
ERA5_BARPA [-] 276. 276. 276. -0.150 0.284 0.00 0.955 0.932 1.00 0.997 0.967
ERA5_CCAM [-] 276. 276. 276. -0.0260 0.0624 0.00 0.987 0.987 1.00 1.00 0.993
MPI-ESM1-2-HR_BARPA [-] 276. 276. 276. 0.511 0.616 0.0862 0.859 0.904 0.994 0.999 0.935
NorESM2-MM_BARPA [-] 276. 276. 276. -0.204 0.639 0.549 0.933 0.846 0.965 0.960 0.917
NorESM2-MM_CCAM [-] 275. 276. 276. -0.286 0.674 0.983 0.922 0.837 0.937 0.985 0.911
NorESM2-MM_CMIP6 [-] 275. 275. 276. -0.256 0.660 0.983 0.930 0.841 0.937 0.988 0.915
Download Data
Period Mean (original grids) [K]
Model Period Mean (intersection) [K]
Benchmark Period Mean (intersection) [K]
Model Period Mean (complement) [K]
Benchmark Period Mean (complement) [K]
Bias [K]
RMSE [K]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 277.
ACCESS-CM2_BARPA [-] 277. 277. 277. 0.206 0.610 0.973 0.936 0.817 0.938 0.994 0.913
ACCESS-CM2_CCAM [-] 277. 277. 277. 0.185 0.606 0.973 0.938 0.820 0.938 0.989 0.913
ACCESS-CM2_CMIP6 [-] 277. 277. 277. 0.162 0.606 0.983 0.944 0.816 0.937 0.991 0.914
ACCESS-ESM1-5_BARPA [-] 278. 278. 277. 0.762 1.01 0.973 0.772 0.796 0.938 0.977 0.867
ACCESS-ESM1-5_CCAM [-] 278. 278. 277. 1.14 1.41 0.869 0.669 0.743 0.944 0.992 0.835
ACCESS-ESM1-5_CMIP6 [-] 279. 279. 277. 1.35 1.58 0.850 0.621 0.747 0.945 0.992 0.826
CESM2_BARPA [-] 277. 277. 277. 0.142 0.517 0.973 0.938 0.842 0.938 0.998 0.922
CESM2_CCAM [-] 277. 277. 277. -0.0924 0.637 0.973 0.954 0.800 0.938 1.00 0.914
CMCC-ESM2_BARPA [-] 277. 277. 277. 0.292 0.488 0.0565 0.899 0.872 0.996 1.00 0.937
CMCC-ESM2_CCAM [-] 277. 277. 277. 0.192 0.481 0.973 0.934 0.855 0.938 1.00 0.926
CMCC-ESM2_CMIP6 [-] 277. 277. 277. 0.156 0.439 0.983 0.945 0.868 0.937 1.00 0.932
CNRM-ESM2-1_CCAM [-] 275. 275. 277. -2.30 2.43 0.973 0.443 0.753 0.938 0.925 0.778
CNRM-ESM2-1_CMIP6 [-] 275. 275. 277. -2.38 2.50 0.983 0.421 0.756 0.937 0.944 0.778
EC-Earth3_BARPA [-] 277. 277. 277. 0.110 0.931 0.507 0.895 0.739 0.967 0.945 0.880
EC-Earth3_CCAM [-] 277. 277. 277. 0.192 0.833 0.494 0.909 0.769 0.968 0.949 0.892
EC-Earth3_CMIP6 [-] 277. 277. 277. 0.241 0.841 0.463 0.911 0.768 0.970 0.954 0.892
ERA5_BARPA [-] 277. 277. 277. -0.181 0.332 0.0103 0.930 0.910 0.999 0.996 0.959
ERA5_CCAM [-] 277. 277. 277. -0.000997 0.0820 0.140 0.983 0.978 0.991 1.00 0.987
MPI-ESM1-2-HR_BARPA [-] 277. 278. 277. 0.400 0.524 0.636 0.875 0.891 0.959 0.992 0.926
NorESM2-MM_BARPA [-] 277. 277. 277. 0.128 0.546 0.433 0.904 0.854 0.972 0.982 0.919
NorESM2-MM_CCAM [-] 277. 277. 277. -0.0989 0.575 0.973 0.958 0.826 0.938 0.992 0.917
NorESM2-MM_CMIP6 [-] 277. 277. 277. -0.175 0.561 0.983 0.948 0.836 0.937 0.993 0.918
Download Data
Period Mean (original grids) [K]
Model Period Mean (intersection) [K]
Benchmark Period Mean (intersection) [K]
Model Period Mean (complement) [K]
Benchmark Period Mean (complement) [K]
Bias [K]
RMSE [K]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 282.
ACCESS-CM2_BARPA [-] 282. 282. 282. -0.0408 0.505 0.706 0.915 0.702 0.955 0.999 0.874
ACCESS-CM2_CCAM [-] 281. 282. 282. -0.0617 0.505 0.480 0.901 0.707 0.969 0.991 0.878
ACCESS-CM2_CMIP6 [-] 281. 281. 282. -0.149 0.528 0.391 0.871 0.701 0.975 0.997 0.869
ACCESS-ESM1-5_BARPA [-] 282. 282. 282. 0.177 0.610 0.359 0.881 0.657 0.977 0.999 0.862
ACCESS-ESM1-5_CCAM [-] 282. 282. 282. 0.883 1.11 0.375 0.521 0.621 0.976 0.998 0.768
ACCESS-ESM1-5_CMIP6 [-] 283. 283. 282. 1.08 1.26 0.205 0.448 0.639 0.987 0.992 0.758
CESM2_BARPA [-] 282. 282. 282. 0.379 0.599 0.284 0.753 0.711 0.968 0.985 0.849
CESM2_CCAM [-] 281. 281. 282. -0.157 0.701 1.46 0.865 0.615 0.821 0.976 0.800
CMCC-ESM2_BARPA [-] 282. 282. 282. 0.305 0.545 0.289 0.800 0.719 0.979 0.999 0.864
CMCC-ESM2_CCAM [-] 282. 282. 282. -0.0383 0.330 0.492 0.937 0.792 0.947 1.00 0.908
CMCC-ESM2_CMIP6 [-] 282. 282. 282. -0.0493 0.337 0.663 0.933 0.790 0.926 0.999 0.904
CNRM-ESM2-1_CCAM [-] 279. 279. 282. -2.62 2.66 0.154 0.152 0.742 0.990 0.963 0.713
CNRM-ESM2-1_CMIP6 [-] 279. 279. 282. -2.72 2.78 0.0714 0.144 0.690 0.995 0.988 0.704
EC-Earth3_BARPA [-] 281. 281. 282. -0.508 0.901 0.232 0.681 0.592 0.985 1.00 0.796
EC-Earth3_CCAM [-] 281. 281. 282. -0.185 0.530 0.305 0.881 0.702 0.980 0.992 0.873
EC-Earth3_CMIP6 [-] 281. 281. 282. -0.186 0.517 0.228 0.869 0.709 0.985 1.00 0.876
ERA5_BARPA [-] 281. 281. 282. -0.442 0.587 0.274 0.715 0.761 0.982 0.999 0.857
ERA5_CCAM [-] 282. 282. 282. -0.0492 0.124 0.0821 0.945 0.938 0.995 0.996 0.965
MPI-ESM1-2-HR_BARPA [-] 282. 282. 282. 0.0103 0.365 0.495 0.937 0.766 0.922 1.00 0.898
NorESM2-MM_BARPA [-] 282. 282. 282. 0.422 0.589 0.281 0.734 0.741 0.981 0.999 0.851
NorESM2-MM_CCAM [-] 281. 281. 282. -0.0988 0.479 0.400 0.922 0.708 0.949 1.00 0.880
NorESM2-MM_CMIP6 [-] 281. 281. 282. -0.179 0.529 0.449 0.861 0.700 0.938 1.00 0.862
Download Data
Period Mean (original grids) [K]
Model Period Mean (intersection) [K]
Benchmark Period Mean (intersection) [K]
Model Period Mean (complement) [K]
Benchmark Period Mean (complement) [K]
Bias [K]
RMSE [K]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 274.
ACCESS-CM2_BARPA [-] 274. 274. 274. 0.0993 0.577 0.971 0.974 0.866 0.938 0.998 0.935
ACCESS-CM2_CCAM [-] 274. 274. 274. 0.226 0.649 0.953 0.944 0.857 0.939 0.996 0.925
ACCESS-CM2_CMIP6 [-] 274. 274. 274. 0.194 0.634 0.983 0.952 0.858 0.937 0.998 0.928
ACCESS-ESM1-5_BARPA [-] 275. 275. 274. 0.908 1.06 0.962 0.793 0.873 0.938 1.00 0.898
ACCESS-ESM1-5_CCAM [-] 275. 275. 274. 1.09 1.29 0.517 0.757 0.841 0.967 1.00 0.886
ACCESS-ESM1-5_CMIP6 [-] 275. 275. 274. 1.32 1.43 0.290 0.714 0.868 0.981 1.00 0.888
CESM2_BARPA [-] 273. 273. 274. -0.533 0.834 0.919 0.874 0.850 0.941 0.988 0.906
CESM2_CCAM [-] 273. 273. 274. -0.472 0.782 0.971 0.887 0.854 0.938 1.00 0.912
CMCC-ESM2_BARPA [-] 274. 274. 274. -0.0463 0.470 0.382 0.980 0.889 0.975 0.997 0.953
CMCC-ESM2_CCAM [-] 274. 274. 274. 0.0406 0.494 0.971 0.981 0.883 0.938 0.987 0.940
CMCC-ESM2_CMIP6 [-] 274. 274. 274. 0.0271 0.500 0.958 0.974 0.883 0.939 0.977 0.937
CNRM-ESM2-1_CCAM [-] 272. 272. 274. -1.49 1.59 0.971 0.684 0.867 0.938 0.974 0.866
CNRM-ESM2-1_CMIP6 [-] 272. 272. 274. -1.55 1.65 0.983 0.672 0.866 0.937 0.979 0.864
EC-Earth3_BARPA [-] 274. 274. 274. 0.708 0.900 0.0874 0.835 0.868 0.994 0.980 0.914
EC-Earth3_CCAM [-] 275. 275. 274. 0.953 1.09 0.455 0.784 0.873 0.971 0.991 0.901
EC-Earth3_CMIP6 [-] 275. 275. 274. 0.970 1.11 0.308 0.781 0.874 0.980 0.990 0.903
ERA5_BARPA [-] 273. 273. 274. -0.123 0.236 0.00922 0.969 0.951 0.999 0.999 0.976
ERA5_CCAM [-] 274. 274. 274. -0.0423 0.0671 0.00791 0.988 0.989 0.999 1.00 0.993
MPI-ESM1-2-HR_BARPA [-] 274. 274. 274. 0.226 0.615 0.0118 0.941 0.870 0.999 0.960 0.935
NorESM2-MM_BARPA [-] 273. 273. 274. -0.895 1.13 0.971 0.796 0.838 0.938 0.998 0.887
NorESM2-MM_CCAM [-] 273. 273. 274. -0.807 1.06 0.971 0.814 0.842 0.938 0.990 0.890
NorESM2-MM_CMIP6 [-] 273. 273. 274. -0.788 1.03 0.958 0.818 0.845 0.939 0.987 0.891
Download Data
Period Mean (original grids) [K]
Model Period Mean (intersection) [K]
Benchmark Period Mean (intersection) [K]
Model Period Mean (complement) [K]
Benchmark Period Mean (complement) [K]
Bias [K]
RMSE [K]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 279.
ACCESS-CM2_BARPA [-] 279. 279. 279. 0.186 0.623 0.904 0.938 0.818 0.942 1.00 0.917
ACCESS-CM2_CCAM [-] 279. 279. 279. 0.186 0.634 0.273 0.935 0.817 0.982 0.999 0.925
ACCESS-CM2_CMIP6 [-] 279. 279. 279. 0.129 0.601 0.290 0.951 0.820 0.981 0.999 0.929
ACCESS-ESM1-5_BARPA [-] 279. 279. 279. 0.572 0.864 0.104 0.832 0.805 0.993 0.993 0.899
ACCESS-ESM1-5_CCAM [-] 280. 280. 279. 0.942 1.18 0.0913 0.725 0.782 0.994 1.00 0.871
ACCESS-ESM1-5_CMIP6 [-] 280. 280. 279. 1.12 1.32 0.0234 0.684 0.784 0.998 0.998 0.863
CESM2_BARPA [-] 279. 279. 279. 0.0630 0.650 0.110 0.906 0.829 0.993 0.976 0.920
CESM2_CCAM [-] 278. 278. 279. -0.827 0.969 0.566 0.765 0.853 0.964 0.998 0.894
CMCC-ESM2_BARPA [-] 279. 279. 279. 0.345 0.791 0.0993 0.882 0.793 0.994 0.992 0.907
CMCC-ESM2_CCAM [-] 279. 279. 279. 0.125 0.445 0.370 0.951 0.875 0.976 0.997 0.944
CMCC-ESM2_CMIP6 [-] 279. 279. 279. 0.122 0.437 0.317 0.957 0.876 0.980 0.998 0.947
CNRM-ESM2-1_CCAM [-] 276. 276. 279. -2.35 2.42 0.601 0.453 0.819 0.961 0.975 0.810
CNRM-ESM2-1_CMIP6 [-] 276. 276. 279. -2.36 2.42 0.563 0.446 0.825 0.964 0.984 0.812
EC-Earth3_BARPA [-] 279. 279. 279. 0.136 0.874 0.00787 0.911 0.757 0.999 0.985 0.903
EC-Earth3_CCAM [-] 279. 279. 279. 0.272 0.744 0.0306 0.889 0.816 0.998 0.960 0.911
EC-Earth3_CMIP6 [-] 279. 279. 279. 0.285 0.717 0.0299 0.900 0.821 0.998 0.967 0.915
ERA5_BARPA [-] 279. 279. 279. -0.214 0.400 0.0147 0.925 0.888 0.999 1.00 0.950
ERA5_CCAM [-] 279. 279. 279. -0.0166 0.0847 0.0106 0.978 0.979 0.999 1.00 0.989
MPI-ESM1-2-HR_BARPA [-] 279. 279. 279. 0.445 0.597 0.0147 0.869 0.879 0.999 0.997 0.932
NorESM2-MM_BARPA [-] 279. 279. 279. -0.181 0.804 0.0770 0.866 0.817 0.995 0.949 0.901
NorESM2-MM_CCAM [-] 278. 278. 279. -0.582 0.746 0.199 0.831 0.861 0.987 0.993 0.914
NorESM2-MM_CMIP6 [-] 278. 278. 279. -0.581 0.744 0.190 0.830 0.861 0.988 0.995 0.914
Download Data
Period Mean (original grids) [K]
Model Period Mean (intersection) [K]
Benchmark Period Mean (intersection) [K]
Model Period Mean (complement) [K]
Benchmark Period Mean (complement) [K]
Bias [K]
RMSE [K]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 272.
ACCESS-CM2_BARPA [-] 272. 272. 272. -0.0599 0.525 0.482 0.955 0.876 0.969 0.978 0.942
ACCESS-CM2_CCAM [-] 272. 272. 272. -0.0133 0.601 0.482 0.947 0.858 0.969 0.968 0.935
ACCESS-CM2_CMIP6 [-] 272. 272. 272. -0.0281 0.608 0.450 0.950 0.857 0.971 0.970 0.923
ACCESS-ESM1-5_BARPA [-] 272. 272. 272. 0.807 0.987 0.482 0.803 0.860 0.969 0.974 0.902
ACCESS-ESM1-5_CCAM [-] 273. 273. 272. 0.877 1.09 0.424 0.788 0.839 0.973 0.961 0.893
ACCESS-ESM1-5_CMIP6 [-] 273. 273. 272. 1.13 1.28 0.334 0.735 0.847 0.979 0.964 0.857
CESM2_BARPA [-] 271. 271. 272. -0.800 1.06 0.482 0.801 0.828 0.969 0.958 0.885
CESM2_CCAM [-] 271. 271. 272. -0.665 1.09 0.482 0.831 0.787 0.969 0.970 0.879
CMCC-ESM2_BARPA [-] 271. 271. 272. -0.226 0.479 0.248 0.934 0.900 0.984 0.979 0.945
CMCC-ESM2_CCAM [-] 271. 271. 272. -0.255 0.625 0.482 0.929 0.863 0.969 0.972 0.929
CMCC-ESM2_CMIP6 [-] 272. 272. 272. -0.284 0.657 0.504 0.924 0.855 0.968 0.973 0.909
CNRM-ESM2-1_CCAM [-] 270. 270. 272. -1.34 1.43 0.482 0.690 0.867 0.969 1.00 0.879
CNRM-ESM2-1_CMIP6 [-] 270. 270. 271. -1.44 1.52 0.228 0.664 0.869 0.985 0.998 0.875
EC-Earth3_BARPA [-] 273. 273. 272. 0.876 1.00 0.381 0.784 0.875 0.976 0.999 0.907
EC-Earth3_CCAM [-] 273. 273. 272. 1.09 1.20 0.482 0.739 0.871 0.969 0.998 0.892
EC-Earth3_CMIP6 [-] 273. 273. 272. 1.08 1.20 0.425 0.740 0.870 0.973 0.999 0.891
ERA5_BARPA [-] 272. 272. 272. -0.0803 0.191 0.0658 0.977 0.956 0.996 1.00 0.981
ERA5_CCAM [-] 272. 272. 272. -0.0105 0.0669 0.0690 0.988 0.988 0.996 1.00 0.992
MPI-ESM1-2-HR_BARPA [-] 271. 271. 272. -0.307 0.767 0.148 0.895 0.845 0.991 0.913 0.905
NorESM2-MM_BARPA [-] 271. 271. 272. -0.941 1.08 0.482 0.770 0.874 0.969 0.995 0.901
NorESM2-MM_CCAM [-] 271. 271. 272. -0.988 1.21 0.482 0.760 0.829 0.969 0.989 0.883
NorESM2-MM_CMIP6 [-] 271. 271. 272. -0.994 1.23 0.504 0.761 0.824 0.968 0.981 0.872
Download Data
Period Mean (original grids) [K]
Model Period Mean (intersection) [K]
Benchmark Period Mean (intersection) [K]
Model Period Mean (complement) [K]
Benchmark Period Mean (complement) [K]
Bias [K]
RMSE [K]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 276.
ACCESS-CM2_BARPA [-] 276. 276. 276. 0.123 0.684 0.535 0.968 0.838 0.966 0.996 0.934
ACCESS-CM2_CCAM [-] 276. 276. 276. 0.161 0.689 0.535 0.959 0.839 0.966 0.999 0.931
ACCESS-CM2_CMIP6 [-] 276. 276. 276. 0.152 0.667 0.525 0.961 0.843 0.966 0.999 0.934
ACCESS-ESM1-5_BARPA [-] 277. 277. 276. 0.858 1.02 0.401 0.797 0.863 0.974 1.00 0.905
ACCESS-ESM1-5_CCAM [-] 277. 277. 276. 0.879 1.10 0.302 0.793 0.840 0.981 1.00 0.898
ACCESS-ESM1-5_CMIP6 [-] 277. 277. 276. 1.23 1.37 0.115 0.723 0.856 0.993 1.00 0.892
CESM2_BARPA [-] 275. 275. 276. -0.656 0.985 0.267 0.842 0.827 0.983 0.986 0.906
CESM2_CCAM [-] 275. 275. 276. -0.815 0.979 0.487 0.807 0.871 0.969 1.00 0.906
CMCC-ESM2_BARPA [-] 276. 276. 276. -0.105 0.818 0.358 0.963 0.810 0.977 0.990 0.930
CMCC-ESM2_CCAM [-] 276. 276. 276. -0.00937 0.722 0.439 0.977 0.828 0.972 0.998 0.935
CMCC-ESM2_CMIP6 [-] 276. 276. 276. 0.00300 0.743 0.450 0.983 0.823 0.971 0.999 0.936
CNRM-ESM2-1_CCAM [-] 274. 274. 276. -1.73 1.82 0.535 0.634 0.865 0.966 0.975 0.861
CNRM-ESM2-1_CMIP6 [-] 274. 274. 276. -1.82 1.91 0.515 0.618 0.863 0.967 0.977 0.858
EC-Earth3_BARPA [-] 277. 277. 276. 0.803 1.12 0.241 0.809 0.814 0.985 0.999 0.899
EC-Earth3_CCAM [-] 277. 277. 276. 1.11 1.31 0.201 0.748 0.832 0.987 0.992 0.889
EC-Earth3_CMIP6 [-] 277. 277. 276. 1.08 1.30 0.285 0.753 0.828 0.982 0.994 0.888
ERA5_BARPA [-] 276. 276. 276. -0.224 0.297 0.211 0.943 0.952 0.986 1.00 0.970
ERA5_CCAM [-] 276. 276. 276. -0.0263 0.0636 0.0463 0.991 0.988 0.997 1.00 0.994
MPI-ESM1-2-HR_BARPA [-] 276. 276. 276. 0.329 0.641 0.430 0.917 0.871 0.972 0.990 0.933
NorESM2-MM_BARPA [-] 275. 275. 276. -1.04 1.35 0.443 0.761 0.800 0.972 0.986 0.874
NorESM2-MM_CCAM [-] 275. 275. 276. -1.04 1.21 0.351 0.761 0.850 0.977 0.994 0.892
NorESM2-MM_CMIP6 [-] 275. 275. 276. -0.999 1.17 0.295 0.769 0.853 0.981 0.995 0.896
Download Data
Period Mean (original grids) [K]
Model Period Mean (intersection) [K]
Benchmark Period Mean (intersection) [K]
Model Period Mean (complement) [K]
Benchmark Period Mean (complement) [K]
Bias [K]
RMSE [K]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 282.
ACCESS-CM2_BARPA [-] 282. 282. 282. 0.00270 0.501 0.456 0.893 0.552 0.962 0.996 0.818
ACCESS-CM2_CCAM [-] 282. 282. 282. 0.0402 0.483 0.457 0.874 0.568 0.964 0.986 0.817
ACCESS-CM2_CMIP6 [-] 282. 282. 282. -0.119 0.416 0.198 0.874 0.627 0.987 0.994 0.844
ACCESS-ESM1-5_BARPA [-] 283. 283. 282. 0.317 0.578 0.390 0.667 0.575 0.970 0.996 0.777
ACCESS-ESM1-5_CCAM [-] 283. 283. 282. 1.07 1.20 0.374 0.276 0.542 0.972 0.991 0.678
ACCESS-ESM1-5_CMIP6 [-] 284. 284. 282. 1.25 1.33 0.00 0.232 0.613 1.00 0.971 0.694
CESM2_BARPA [-] 283. 283. 282. 0.442 0.686 2.46 0.569 0.515 0.632 0.989 0.658
CESM2_CCAM [-] 282. 283. 282. 0.182 0.502 2.74 0.788 0.564 0.587 0.999 0.716
CMCC-ESM2_BARPA [-] 283. 283. 282. 0.443 0.538 1.58 0.572 0.681 0.782 0.997 0.749
CMCC-ESM2_CCAM [-] 282. 282. 282. 0.0856 0.248 1.17 0.907 0.756 0.835 0.996 0.861
CMCC-ESM2_CMIP6 [-] 282. 282. 282. 0.0468 0.243 1.57 0.936 0.734 0.745 1.00 0.840
CNRM-ESM2-1_CCAM [-] 280. 280. 282. -2.34 2.37 0.556 0.0648 0.648 0.964 0.951 0.656
CNRM-ESM2-1_CMIP6 [-] 280. 280. 283. -2.45 2.48 0.501 0.0305 0.596 0.967 0.668 0.569
EC-Earth3_BARPA [-] 282. 282. 282. -0.450 0.647 0.435 0.565 0.579 0.967 0.999 0.756
EC-Earth3_CCAM [-] 282. 282. 282. -0.102 0.370 0.478 0.887 0.663 0.960 0.997 0.853
EC-Earth3_CMIP6 [-] 282. 282. 282. -0.191 0.402 0.361 0.782 0.656 0.971 1.00 0.831
ERA5_BARPA [-] 282. 282. 282. -0.373 0.412 0.718 0.622 0.832 0.944 1.00 0.847
ERA5_CCAM [-] 282. 282. 282. 0.0886 0.111 0.376 0.890 0.929 0.966 1.00 0.944
MPI-ESM1-2-HR_BARPA [-] 282. 282. 282. 0.157 0.373 1.78 0.810 0.663 0.706 1.00 0.780
NorESM2-MM_BARPA [-] 283. 283. 282. 0.378 0.578 1.11 0.623 0.574 0.869 0.997 0.744
NorESM2-MM_CCAM [-] 282. 282. 282. 0.0175 0.383 0.907 0.944 0.619 0.864 0.996 0.829
NorESM2-MM_CMIP6 [-] 282. 282. 282. -0.0374 0.398 1.13 0.891 0.601 0.817 0.998 0.801
Download Data
Period Mean (original grids) [K]
Model Period Mean (intersection) [K]
Benchmark Period Mean (intersection) [K]
Model Period Mean (complement) [K]
Benchmark Period Mean (complement) [K]
Bias [K]
RMSE [K]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 278.
ACCESS-CM2_BARPA [-] 278. 278. 278. 281. 0.0669 0.484 0.981 0.771 0.708 0.875 0.999 0.812
ACCESS-CM2_CCAM [-] 278. 278. 278. 277. 0.0327 0.481 0.866 0.773 0.722 0.890 0.999 0.821
ACCESS-CM2_CMIP6 [-] 278. 278. 278. 278. -0.0315 0.446 0.875 0.830 0.731 0.892 0.999 0.837
ACCESS-ESM1-5_BARPA [-] 279. 279. 278. 281. 0.720 0.891 1.39 0.532 0.690 0.779 1.00 0.738
ACCESS-ESM1-5_CCAM [-] 279. 279. 278. 277. 0.950 1.11 1.01 0.452 0.684 0.847 0.998 0.733
ACCESS-ESM1-5_CMIP6 [-] 280. 280. 278. 279. 1.23 1.35 1.29 0.400 0.701 0.804 0.998 0.721
CESM2_BARPA [-] 278. 278. 278. 281. 0.216 0.933 1.02 0.517 0.647 0.861 0.987 0.731
CESM2_CCAM [-] 278. 278. 278. 277. 0.0776 0.841 1.14 0.583 0.658 0.839 0.992 0.746
CMCC-ESM2_BARPA [-] 278. 279. 278. 281. 0.298 0.736 0.720 0.575 0.690 0.887 0.994 0.767
CMCC-ESM2_CCAM [-] 278. 278. 278. 277. -0.148 0.481 0.838 0.813 0.734 0.877 0.999 0.831
CMCC-ESM2_CMIP6 [-] 278. 278. 278. 277. -0.153 0.485 0.805 0.810 0.732 0.880 0.999 0.831
CNRM-ESM2-1_CCAM [-] 276. 276. 278. 277. -2.11 2.16 0.775 0.259 0.713 0.896 0.999 0.716
CNRM-ESM2-1_CMIP6 [-] 276. 276. 278. 274. -2.11 2.15 0.784 0.259 0.712 0.895 0.999 0.715
EC-Earth3_BARPA [-] 278. 279. 278. 281. 0.249 0.728 0.652 0.704 0.697 0.908 0.992 0.800
EC-Earth3_CCAM [-] 279. 279. 278. 277. 0.281 0.686 0.657 0.743 0.729 0.901 0.989 0.818
EC-Earth3_CMIP6 [-] 279. 279. 278. 277. 0.288 0.677 0.624 0.755 0.731 0.907 0.989 0.822
ERA5_BARPA [-] 278. 278. 278. 281. -0.194 0.252 0.439 0.818 0.864 0.931 1.00 0.896
ERA5_CCAM [-] 278. 278. 278. 277. -0.0276 0.0698 0.440 0.944 0.946 0.926 1.00 0.952
MPI-ESM1-2-HR_BARPA [-] 278. 278. 278. 281. 0.0883 0.670 0.824 0.626 0.696 0.870 0.993 0.776
NorESM2-MM_BARPA [-] 278. 278. 278. 281. -0.0215 0.665 0.869 0.652 0.710 0.865 0.995 0.786
NorESM2-MM_CCAM [-] 278. 278. 278. 277. -0.380 0.578 1.02 0.759 0.728 0.845 0.998 0.812
NorESM2-MM_CMIP6 [-] 278. 278. 278. 277. -0.381 0.576 1.03 0.758 0.726 0.842 0.998 0.810
Download Data
Period Mean (original grids) [K]
Model Period Mean (intersection) [K]
Benchmark Period Mean (intersection) [K]
Model Period Mean (complement) [K]
Benchmark Period Mean (complement) [K]
Bias [K]
RMSE [K]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 283.
ACCESS-CM2_BARPA [-] 283. 283. 283. 283. 0.235 0.358 1.86 0.593 0.592 0.744 0.955 0.695
ACCESS-CM2_CCAM [-] 283. 283. 283. 283. 0.243 0.349 1.66 0.584 0.617 0.783 0.999 0.720
ACCESS-CM2_CMIP6 [-] 283. 283. 283. 0.130 0.272 1.70 0.720 0.628 0.781 1.00 0.751
ACCESS-ESM1-5_BARPA [-] 284. 284. 283. 283. 0.973 1.03 3.39 0.158 0.545 0.447 0.760 0.491
ACCESS-ESM1-5_CCAM [-] 284. 284. 283. 283. 1.27 1.30 2.21 0.0757 0.566 0.653 0.944 0.561
ACCESS-ESM1-5_CMIP6 [-] 284. 284. 283. 1.57 1.59 2.96 0.0455 0.578 0.531 0.914 0.529
CESM2_BARPA [-] 284. 284. 283. 283. 0.792 0.881 1.66 0.193 0.461 0.785 0.834 0.547
CESM2_CCAM [-] 283. 283. 283. 283. 0.557 0.659 2.03 0.338 0.520 0.699 0.863 0.588
CMCC-ESM2_BARPA [-] 283. 283. 283. 283. 0.620 0.714 0.992 0.290 0.478 0.836 0.709 0.558
CMCC-ESM2_CCAM [-] 283. 283. 283. 283. -0.0384 0.277 1.17 0.779 0.596 0.813 0.974 0.751
CMCC-ESM2_CMIP6 [-] 283. 283. 283. 283. -0.0538 0.283 1.10 0.778 0.592 0.820 0.986 0.754
CNRM-ESM2-1_CCAM [-] 281. 281. 283. 283. -2.13 2.14 1.20 0.0136 0.606 0.824 0.971 0.604
CNRM-ESM2-1_CMIP6 [-] 281. 281. 283. 281. -2.13 2.14 1.21 0.0143 0.602 0.825 0.954 0.600
EC-Earth3_BARPA [-] 282. 282. 283. 283. -0.261 0.421 1.19 0.584 0.542 0.833 0.929 0.686
EC-Earth3_CCAM [-] 283. 283. 283. 283. -0.186 0.300 1.23 0.667 0.625 0.800 0.956 0.735
EC-Earth3_CMIP6 [-] 283. 283. 283. 283. -0.166 0.284 1.21 0.703 0.624 0.804 0.988 0.749
ERA5_BARPA [-] 283. 283. 283. 283. -0.160 0.212 0.427 0.728 0.772 0.932 1.00 0.841
ERA5_CCAM [-] 283. 283. 283. 283. -0.0301 0.0827 0.615 0.885 0.894 0.897 0.968 0.907
MPI-ESM1-2-HR_BARPA [-] 283. 283. 283. 283. 0.423 0.561 1.27 0.407 0.484 0.791 0.916 0.616
NorESM2-MM_BARPA [-] 283. 283. 283. 283. 0.289 0.443 1.61 0.557 0.523 0.733 0.725 0.612
NorESM2-MM_CCAM [-] 283. 283. 283. 283. -0.153 0.333 2.10 0.670 0.576 0.653 0.944 0.684
NorESM2-MM_CMIP6 [-] 283. 283. 283. 283. -0.159 0.347 2.09 0.668 0.568 0.654 0.848 0.661
Download Data
Period Mean (original grids) [K]
Model Period Mean (intersection) [K]
Benchmark Period Mean (intersection) [K]
Model Period Mean (complement) [K]
Benchmark Period Mean (complement) [K]
Bias [K]
RMSE [K]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 276.
ACCESS-CM2_BARPA [-] 276. 276. 276. 0.257 0.563 0.983 0.927 0.862 0.937 0.998 0.917
ACCESS-CM2_CCAM [-] 276. 276. 276. 0.305 0.610 0.819 0.915 0.855 0.947 0.995 0.913
ACCESS-CM2_CMIP6 [-] 276. 276. 276. 0.312 0.601 0.658 0.913 0.860 0.958 0.997 0.918
ACCESS-ESM1-5_BARPA [-] 277. 277. 276. 0.884 1.05 0.949 0.770 0.849 0.939 0.981 0.878
ACCESS-ESM1-5_CCAM [-] 277. 277. 276. 1.21 1.42 0.601 0.697 0.802 0.961 0.997 0.852
ACCESS-ESM1-5_CMIP6 [-] 277. 277. 276. 1.46 1.62 0.334 0.652 0.814 0.979 0.996 0.851
CESM2_BARPA [-] 276. 276. 276. -0.000658 0.500 0.983 0.972 0.865 0.937 0.991 0.926
CESM2_CCAM [-] 276. 276. 276. -0.233 0.584 0.983 0.934 0.853 0.937 0.999 0.915
CMCC-ESM2_BARPA [-] 276. 276. 276. 0.219 0.468 0.00 0.936 0.885 1.00 0.999 0.941
CMCC-ESM2_CCAM [-] 276. 276. 276. 0.220 0.462 0.983 0.937 0.886 0.937 1.00 0.929
CMCC-ESM2_CMIP6 [-] 276. 276. 276. 0.297 0.514 0.983 0.915 0.885 0.937 0.999 0.924
CNRM-ESM2-1_CCAM [-] 274. 274. 276. -2.03 2.14 0.983 0.547 0.816 0.937 0.912 0.805
CNRM-ESM2-1_CMIP6 [-] 274. 274. 276. -2.06 2.16 0.983 0.540 0.824 0.937 0.931 0.811
EC-Earth3_BARPA [-] 276. 276. 276. 0.320 0.790 0.123 0.913 0.813 0.992 0.945 0.895
EC-Earth3_CCAM [-] 276. 276. 276. 0.449 0.793 0.0187 0.881 0.830 0.999 0.937 0.895
EC-Earth3_CMIP6 [-] 276. 276. 276. 0.515 0.828 0.00 0.863 0.831 1.00 0.941 0.893
ERA5_BARPA [-] 276. 276. 276. -0.150 0.284 0.00 0.955 0.932 1.00 0.997 0.963
ERA5_CCAM [-] 276. 276. 276. -0.0260 0.0624 0.00 0.987 0.987 1.00 1.00 0.992
MPI-ESM1-2-HR_BARPA [-] 276. 276. 276. 0.511 0.616 0.0862 0.859 0.904 0.994 0.999 0.932
NorESM2-MM_BARPA [-] 276. 276. 276. -0.204 0.639 0.549 0.933 0.846 0.965 0.960 0.910
NorESM2-MM_CCAM [-] 275. 276. 276. -0.286 0.674 0.983 0.922 0.837 0.937 0.985 0.904
NorESM2-MM_CMIP6 [-] 275. 275. 276. -0.256 0.660 0.983 0.930 0.841 0.937 0.988 0.907
Download Data
Period Mean (original grids) [K]
Model Period Mean (intersection) [K]
Benchmark Period Mean (intersection) [K]
Model Period Mean (complement) [K]
Benchmark Period Mean (complement) [K]
Bias [K]
RMSE [K]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 278.
ACCESS-CM2_BARPA [-] 278. 278. 278. 0.121 0.603 0.968 0.955 0.793 0.938 0.988 0.893
ACCESS-CM2_CCAM [-] 278. 278. 278. 0.0726 0.569 0.968 0.963 0.802 0.938 0.985 0.898
ACCESS-CM2_CMIP6 [-] 278. 278. 278. 0.0834 0.597 0.983 0.961 0.797 0.937 0.988 0.896
ACCESS-ESM1-5_BARPA [-] 279. 279. 278. 0.602 0.915 0.968 0.792 0.764 0.938 0.974 0.846
ACCESS-ESM1-5_CCAM [-] 279. 279. 278. 1.04 1.36 0.968 0.663 0.709 0.938 0.990 0.802
ACCESS-ESM1-5_CMIP6 [-] 279. 279. 278. 1.27 1.54 0.983 0.614 0.718 0.937 0.991 0.795
CESM2_BARPA [-] 278. 278. 278. 0.193 0.493 0.968 0.926 0.837 0.938 1.00 0.907
CESM2_CCAM [-] 278. 278. 278. -0.0807 0.653 0.968 0.949 0.778 0.938 1.00 0.889
CMCC-ESM2_BARPA [-] 279. 279. 278. 0.301 0.474 0.0827 0.888 0.867 0.995 1.00 0.923
CMCC-ESM2_CCAM [-] 278. 278. 278. 0.181 0.452 0.968 0.932 0.849 0.938 0.999 0.914
CMCC-ESM2_CMIP6 [-] 278. 278. 278. 0.162 0.412 0.983 0.940 0.864 0.937 0.995 0.920
CNRM-ESM2-1_CCAM [-] 276. 276. 278. -2.58 2.71 0.968 0.363 0.720 0.938 0.953 0.739
CNRM-ESM2-1_CMIP6 [-] 276. 276. 278. -2.63 2.74 0.983 0.346 0.728 0.937 0.969 0.741
EC-Earth3_BARPA [-] 278. 278. 278. -0.131 0.918 0.642 0.922 0.704 0.959 0.952 0.848
EC-Earth3_CCAM [-] 278. 278. 278. -0.0444 0.775 0.669 0.949 0.740 0.957 0.970 0.871
EC-Earth3_CMIP6 [-] 278. 278. 278. 0.0202 0.780 0.659 0.955 0.739 0.958 0.970 0.872
ERA5_BARPA [-] 278. 278. 278. -0.253 0.368 0.0151 0.903 0.901 0.999 0.996 0.940
ERA5_CCAM [-] 278. 278. 278. -0.0213 0.0787 0.204 0.983 0.975 0.987 1.00 0.984
MPI-ESM1-2-HR_BARPA [-] 279. 279. 278. 0.304 0.434 0.868 0.891 0.888 0.944 0.982 0.919
NorESM2-MM_BARPA [-] 278. 279. 278. 0.289 0.485 0.178 0.890 0.861 0.989 0.994 0.919
NorESM2-MM_CCAM [-] 278. 278. 278. 0.00103 0.490 0.968 0.977 0.826 0.938 0.999 0.913
NorESM2-MM_CMIP6 [-] 278. 278. 278. -0.0707 0.477 0.983 0.972 0.833 0.937 1.00 0.915
Download Data
Period Mean (original grids) [K]
Model Period Mean (intersection) [K]
Benchmark Period Mean (intersection) [K]
Model Period Mean (complement) [K]
Benchmark Period Mean (complement) [K]
Bias [K]
RMSE [K]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 275.
ACCESS-CM2_BARPA [-] 275. 275. 275. 0.389 0.627 0.983 0.895 0.869 0.937 0.999 0.914
ACCESS-CM2_CCAM [-] 275. 275. 275. 0.428 0.685 0.983 0.885 0.859 0.937 1.00 0.908
ACCESS-CM2_CMIP6 [-] 275. 275. 275. 0.371 0.630 0.983 0.900 0.865 0.937 1.00 0.913
ACCESS-ESM1-5_BARPA [-] 276. 276. 275. 1.11 1.22 0.983 0.729 0.865 0.937 0.995 0.878
ACCESS-ESM1-5_CCAM [-] 276. 276. 275. 1.35 1.52 0.654 0.680 0.819 0.958 1.00 0.855
ACCESS-ESM1-5_CMIP6 [-] 276. 276. 275. 1.56 1.70 0.498 0.640 0.823 0.968 1.00 0.851
CESM2_BARPA [-] 275. 275. 275. 0.0319 0.569 0.983 0.964 0.855 0.937 0.974 0.917
CESM2_CCAM [-] 275. 275. 275. -0.118 0.602 0.983 0.964 0.847 0.937 0.981 0.915
CMCC-ESM2_BARPA [-] 275. 275. 275. 0.273 0.519 0.00 0.924 0.883 1.00 0.989 0.936
CMCC-ESM2_CCAM [-] 275. 275. 275. 0.216 0.545 0.983 0.939 0.868 0.937 0.993 0.921
CMCC-ESM2_CMIP6 [-] 275. 275. 275. 0.143 0.493 0.983 0.955 0.878 0.937 0.986 0.927
CNRM-ESM2-1_CCAM [-] 273. 273. 275. -1.70 1.83 0.983 0.615 0.825 0.937 0.945 0.830
CNRM-ESM2-1_CMIP6 [-] 273. 273. 275. -1.80 1.93 0.983 0.596 0.824 0.937 0.960 0.828
EC-Earth3_BARPA [-] 275. 275. 275. 0.631 0.959 0.215 0.836 0.816 0.986 0.980 0.887
EC-Earth3_CCAM [-] 275. 275. 275. 0.701 0.958 0.117 0.820 0.832 0.993 0.965 0.888
EC-Earth3_CMIP6 [-] 276. 276. 275. 0.711 0.973 0.0451 0.818 0.830 0.997 0.952 0.886
ERA5_BARPA [-] 275. 275. 275. -0.0267 0.255 0.00 0.988 0.931 1.00 1.00 0.970
ERA5_CCAM [-] 275. 275. 275. 0.0429 0.0890 0.00 0.982 0.984 1.00 0.996 0.989
MPI-ESM1-2-HR_BARPA [-] 275. 275. 275. 0.609 0.720 0.136 0.840 0.898 0.991 0.996 0.925
NorESM2-MM_BARPA [-] 274. 275. 275. -0.218 0.676 0.983 0.936 0.840 0.937 0.940 0.899
NorESM2-MM_CCAM [-] 274. 274. 275. -0.314 0.757 0.983 0.917 0.825 0.937 0.956 0.892
NorESM2-MM_CMIP6 [-] 274. 274. 275. -0.386 0.732 0.983 0.899 0.841 0.937 0.967 0.897
Download Data
Period Mean (original grids) [K]
Model Period Mean (intersection) [K]
Benchmark Period Mean (intersection) [K]
Model Period Mean (complement) [K]
Benchmark Period Mean (complement) [K]
Bias [K]
RMSE [K]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 281.
ACCESS-CM2_BARPA [-] 281. 281. 281. -0.123 0.592 0.303 0.917 0.683 0.981 0.998 0.852
ACCESS-CM2_CCAM [-] 281. 281. 281. -0.212 0.618 0.254 0.867 0.684 0.984 0.998 0.843
ACCESS-CM2_CMIP6 [-] 281. 281. 281. -0.264 0.640 0.205 0.833 0.681 0.987 0.998 0.836
ACCESS-ESM1-5_BARPA [-] 281. 281. 281. 0.177 0.632 0.298 0.895 0.672 0.981 0.993 0.842
ACCESS-ESM1-5_CCAM [-] 282. 282. 281. 0.831 1.15 0.303 0.578 0.594 0.981 1.00 0.749
ACCESS-ESM1-5_CMIP6 [-] 282. 282. 281. 0.999 1.25 0.153 0.510 0.615 0.990 0.997 0.745
CESM2_BARPA [-] 281. 281. 281. 0.219 0.477 0.368 0.861 0.754 0.976 0.997 0.869
CESM2_CCAM [-] 281. 281. 281. -0.214 0.704 0.483 0.861 0.653 0.969 0.984 0.824
CMCC-ESM2_BARPA [-] 281. 281. 281. 0.246 0.428 0.680 0.850 0.796 0.956 1.00 0.880
CMCC-ESM2_CCAM [-] 281. 281. 281. 0.00316 0.346 0.303 0.950 0.802 0.981 1.00 0.907
CMCC-ESM2_CMIP6 [-] 281. 281. 281. -0.00284 0.349 0.301 0.948 0.805 0.981 0.999 0.907
CNRM-ESM2-1_CCAM [-] 278. 278. 281. -2.79 2.85 0.303 0.165 0.692 0.981 0.986 0.703
CNRM-ESM2-1_CMIP6 [-] 278. 278. 281. -2.84 2.90 0.186 0.158 0.670 0.988 0.998 0.697
EC-Earth3_BARPA [-] 280. 280. 281. -0.557 0.872 0.579 0.688 0.651 0.963 0.995 0.789
EC-Earth3_CCAM [-] 281. 281. 281. -0.265 0.658 0.269 0.843 0.678 0.983 0.998 0.836
EC-Earth3_CMIP6 [-] 281. 281. 281. -0.227 0.615 0.279 0.861 0.696 0.982 1.00 0.847
ERA5_BARPA [-] 280. 280. 281. -0.448 0.545 0.680 0.740 0.817 0.956 0.999 0.866
ERA5_CCAM [-] 281. 281. 281. -0.0733 0.136 0.159 0.939 0.948 0.990 0.995 0.964
MPI-ESM1-2-HR_BARPA [-] 281. 281. 281. -0.00667 0.329 0.261 0.946 0.810 0.983 0.996 0.909
NorESM2-MM_BARPA [-] 281. 281. 281. 0.354 0.541 0.680 0.789 0.760 0.956 0.999 0.853
NorESM2-MM_CCAM [-] 281. 281. 281. -0.0530 0.441 0.303 0.938 0.755 0.981 0.996 0.885
NorESM2-MM_CMIP6 [-] 281. 281. 281. -0.0994 0.474 0.301 0.894 0.753 0.981 0.995 0.875
Download Data
Period Mean (original grids) [K]
Model Period Mean (intersection) [K]
Benchmark Period Mean (intersection) [K]
Model Period Mean (complement) [K]
Benchmark Period Mean (complement) [K]
Bias [K]
RMSE [K]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 282.
ACCESS-CM2_BARPA [-] 282. 282. 282. 0.0142 0.446 0.975 0.913 0.715 0.937 0.947 0.846
ACCESS-CM2_CCAM [-] 282. 282. 282. 0.0385 0.430 0.631 0.924 0.722 0.959 1.00 0.865
ACCESS-CM2_CMIP6 [-] 282. 282. 282. -0.0757 0.456 0.511 0.895 0.715 0.967 0.975 0.853
ACCESS-ESM1-5_BARPA [-] 282. 282. 282. 0.178 0.595 0.399 0.872 0.648 0.974 0.997 0.828
ACCESS-ESM1-5_CCAM [-] 283. 283. 282. 0.918 1.09 0.422 0.483 0.639 0.973 0.996 0.746
ACCESS-ESM1-5_CMIP6 [-] 283. 283. 282. 1.14 1.27 0.238 0.408 0.655 0.985 0.990 0.739
CESM2_BARPA [-] 282. 283. 282. 0.486 0.681 0.228 0.681 0.682 0.962 0.993 0.800
CESM2_CCAM [-] 282. 282. 282. -0.119 0.699 2.12 0.867 0.590 0.722 0.865 0.727
CMCC-ESM2_BARPA [-] 282. 282. 282. 0.345 0.624 0.0285 0.766 0.668 0.995 0.988 0.817
CMCC-ESM2_CCAM [-] 282. 282. 282. -0.0660 0.318 0.618 0.929 0.785 0.925 0.970 0.879
CMCC-ESM2_CMIP6 [-] 282. 282. 282. -0.0811 0.328 0.910 0.923 0.779 0.889 0.993 0.873
CNRM-ESM2-1_CCAM [-] 279. 280. 282. -2.51 2.53 0.0537 0.144 0.775 0.997 0.936 0.726
CNRM-ESM2-1_CMIP6 [-] 279. 279. 282. -2.65 2.70 0.00 0.136 0.703 1.00 0.992 0.707
EC-Earth3_BARPA [-] 282. 282. 282. -0.476 0.920 0.00 0.676 0.553 1.00 0.967 0.750
EC-Earth3_CCAM [-] 282. 282. 282. -0.132 0.444 0.330 0.907 0.719 0.979 0.982 0.861
EC-Earth3_CMIP6 [-] 282. 282. 282. -0.160 0.456 0.196 0.874 0.718 0.987 0.996 0.859
ERA5_BARPA [-] 282. 282. 282. -0.438 0.614 0.00293 0.698 0.724 1.00 0.984 0.826
ERA5_CCAM [-] 282. 282. 282. -0.0331 0.117 0.0311 0.949 0.931 0.998 0.979 0.958
MPI-ESM1-2-HR_BARPA [-] 282. 282. 282. 0.0216 0.389 0.651 0.931 0.736 0.881 0.999 0.856
NorESM2-MM_BARPA [-] 282. 282. 282. 0.467 0.620 0.0143 0.697 0.728 0.997 0.946 0.819
NorESM2-MM_CCAM [-] 282. 282. 282. -0.129 0.505 0.464 0.911 0.677 0.928 0.974 0.833
NorESM2-MM_CMIP6 [-] 282. 282. 282. -0.234 0.566 0.551 0.839 0.664 0.909 0.976 0.810
Download Data
Period Mean (original grids) [K]
Model Period Mean (intersection) [K]
Benchmark Period Mean (intersection) [K]
Model Period Mean (complement) [K]
Benchmark Period Mean (complement) [K]
Bias [K]
RMSE [K]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 274.
ACCESS-CM2_BARPA [-] 274. 274. 274. 0.0993 0.577 0.971 0.974 0.866 0.938 0.998 0.928
ACCESS-CM2_CCAM [-] 274. 274. 274. 0.226 0.649 0.953 0.944 0.857 0.939 0.996 0.919
ACCESS-CM2_CMIP6 [-] 274. 274. 274. 0.194 0.634 0.983 0.952 0.858 0.937 0.998 0.921
ACCESS-ESM1-5_BARPA [-] 275. 275. 274. 0.908 1.06 0.962 0.793 0.873 0.938 1.00 0.895
ACCESS-ESM1-5_CCAM [-] 275. 275. 274. 1.09 1.29 0.517 0.757 0.841 0.967 1.00 0.881
ACCESS-ESM1-5_CMIP6 [-] 275. 275. 274. 1.32 1.43 0.290 0.714 0.868 0.981 1.00 0.886
CESM2_BARPA [-] 273. 273. 274. -0.533 0.834 0.919 0.874 0.850 0.941 0.988 0.901
CESM2_CCAM [-] 273. 273. 274. -0.472 0.782 0.971 0.887 0.854 0.938 1.00 0.906
CMCC-ESM2_BARPA [-] 274. 274. 274. -0.0463 0.470 0.382 0.980 0.889 0.975 0.997 0.946
CMCC-ESM2_CCAM [-] 274. 274. 274. 0.0406 0.494 0.971 0.981 0.883 0.938 0.987 0.934
CMCC-ESM2_CMIP6 [-] 274. 274. 274. 0.0271 0.500 0.958 0.974 0.883 0.939 0.977 0.931
CNRM-ESM2-1_CCAM [-] 272. 272. 274. -1.49 1.59 0.971 0.684 0.867 0.938 0.974 0.866
CNRM-ESM2-1_CMIP6 [-] 272. 272. 274. -1.55 1.65 0.983 0.672 0.866 0.937 0.979 0.864
EC-Earth3_BARPA [-] 274. 274. 274. 0.708 0.900 0.0874 0.835 0.868 0.994 0.980 0.909
EC-Earth3_CCAM [-] 275. 275. 274. 0.953 1.09 0.455 0.784 0.873 0.971 0.991 0.898
EC-Earth3_CMIP6 [-] 275. 275. 274. 0.970 1.11 0.308 0.781 0.874 0.980 0.990 0.900
ERA5_BARPA [-] 273. 273. 274. -0.123 0.236 0.00922 0.969 0.951 0.999 0.999 0.974
ERA5_CCAM [-] 274. 274. 274. -0.0423 0.0671 0.00791 0.988 0.989 0.999 1.00 0.993
MPI-ESM1-2-HR_BARPA [-] 274. 274. 274. 0.226 0.615 0.0118 0.941 0.870 0.999 0.960 0.928
NorESM2-MM_BARPA [-] 273. 273. 274. -0.895 1.13 0.971 0.796 0.838 0.938 0.998 0.882
NorESM2-MM_CCAM [-] 273. 273. 274. -0.807 1.06 0.971 0.814 0.842 0.938 0.990 0.885
NorESM2-MM_CMIP6 [-] 273. 273. 274. -0.788 1.03 0.958 0.818 0.845 0.939 0.987 0.887
Download Data
Period Mean (original grids) [K]
Model Period Mean (intersection) [K]
Benchmark Period Mean (intersection) [K]
Model Period Mean (complement) [K]
Benchmark Period Mean (complement) [K]
Bias [K]
RMSE [K]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 279.
ACCESS-CM2_BARPA [-] 280. 280. 279. 0.176 0.595 0.865 0.934 0.806 0.945 1.00 0.898
ACCESS-CM2_CCAM [-] 280. 280. 279. 0.148 0.593 0.0750 0.936 0.807 0.995 0.999 0.909
ACCESS-CM2_CMIP6 [-] 280. 280. 279. 0.0983 0.585 0.0756 0.951 0.803 0.995 0.999 0.910
ACCESS-ESM1-5_BARPA [-] 280. 280. 279. 0.481 0.820 0.0432 0.840 0.778 0.997 0.993 0.877
ACCESS-ESM1-5_CCAM [-] 280. 280. 279. 0.953 1.21 0.124 0.695 0.751 0.992 0.998 0.838
ACCESS-ESM1-5_CMIP6 [-] 281. 281. 279. 1.09 1.32 0.0376 0.660 0.747 0.998 0.998 0.830
CESM2_BARPA [-] 280. 280. 279. 0.245 0.573 0.141 0.894 0.833 0.991 0.986 0.907
CESM2_CCAM [-] 279. 279. 279. -0.733 0.918 0.613 0.764 0.818 0.961 1.00 0.872
CMCC-ESM2_BARPA [-] 280. 280. 279. 0.422 0.741 0.00712 0.849 0.793 1.00 0.995 0.886
CMCC-ESM2_CCAM [-] 280. 280. 279. 0.0991 0.370 0.408 0.949 0.881 0.974 0.992 0.935
CMCC-ESM2_CMIP6 [-] 280. 280. 279. 0.120 0.372 0.393 0.952 0.880 0.975 0.993 0.936
CNRM-ESM2-1_CCAM [-] 277. 277. 279. -2.55 2.62 0.544 0.381 0.796 0.965 0.992 0.786
CNRM-ESM2-1_CMIP6 [-] 277. 277. 280. -2.51 2.57 0.500 0.383 0.804 0.968 0.994 0.791
EC-Earth3_BARPA [-] 279. 279. 279. -0.0619 0.857 0.00712 0.929 0.725 1.00 0.994 0.875
EC-Earth3_CCAM [-] 279. 280. 279. 0.0257 0.631 0.0363 0.923 0.800 0.998 0.978 0.900
EC-Earth3_CMIP6 [-] 280. 280. 279. 0.0547 0.604 0.0222 0.938 0.805 0.999 0.983 0.906
ERA5_BARPA [-] 279. 279. 279. -0.236 0.447 0.00712 0.908 0.863 1.00 1.00 0.927
ERA5_CCAM [-] 279. 279. 279. -0.0430 0.0989 0.0124 0.972 0.974 0.999 1.00 0.984
MPI-ESM1-2-HR_BARPA [-] 280. 280. 279. 0.372 0.536 0.0181 0.878 0.869 0.999 0.995 0.922
NorESM2-MM_BARPA [-] 280. 280. 279. 0.115 0.606 0.00829 0.885 0.836 0.999 0.966 0.904
NorESM2-MM_CCAM [-] 279. 279. 279. -0.455 0.615 0.249 0.847 0.860 0.984 0.999 0.910
NorESM2-MM_CMIP6 [-] 279. 279. 279. -0.469 0.629 0.235 0.841 0.858 0.985 0.999 0.908
Download Data
Period Mean (original grids) [K]
Model Period Mean (intersection) [K]
Benchmark Period Mean (intersection) [K]
Model Period Mean (complement) [K]
Benchmark Period Mean (complement) [K]
Bias [K]
RMSE [K]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 278.
ACCESS-CM2_BARPA [-] 278. 278. 278. 0.201 0.671 0.969 0.945 0.838 0.938 0.998 0.911
ACCESS-CM2_CCAM [-] 278. 278. 278. 0.247 0.700 0.598 0.934 0.834 0.962 1.00 0.913
ACCESS-CM2_CMIP6 [-] 278. 278. 277. 0.180 0.626 0.641 0.952 0.848 0.959 1.00 0.921
ACCESS-ESM1-5_BARPA [-] 278. 278. 278. 0.723 0.936 0.205 0.819 0.849 0.987 0.999 0.900
ACCESS-ESM1-5_CCAM [-] 278. 278. 278. 0.925 1.14 0.0374 0.774 0.831 0.998 0.999 0.887
ACCESS-ESM1-5_CMIP6 [-] 279. 279. 277. 1.17 1.32 0.00 0.724 0.844 1.00 0.999 0.882
CESM2_BARPA [-] 277. 277. 278. -0.237 0.777 0.0602 0.926 0.823 0.996 0.982 0.910
CESM2_CCAM [-] 277. 277. 278. -0.982 1.05 0.491 0.766 0.911 0.969 1.00 0.911
CMCC-ESM2_BARPA [-] 278. 278. 278. 0.218 0.874 0.251 0.937 0.793 0.984 0.990 0.899
CMCC-ESM2_CCAM [-] 278. 278. 278. 0.168 0.567 0.309 0.954 0.864 0.980 1.00 0.932
CMCC-ESM2_CMIP6 [-] 278. 278. 278. 0.126 0.541 0.197 0.966 0.868 0.987 1.00 0.938
CNRM-ESM2-1_CCAM [-] 275. 275. 278. -2.02 2.10 0.695 0.570 0.858 0.955 0.981 0.845
CNRM-ESM2-1_CMIP6 [-] 275. 275. 278. -2.11 2.17 0.673 0.556 0.862 0.957 0.985 0.844
EC-Earth3_BARPA [-] 278. 278. 278. 0.461 0.902 0.00909 0.882 0.808 0.999 0.998 0.899
EC-Earth3_CCAM [-] 278. 278. 278. 0.676 0.929 0.0214 0.834 0.843 0.999 0.983 0.900
EC-Earth3_CMIP6 [-] 278. 278. 278. 0.660 0.901 0.0423 0.837 0.848 0.997 0.986 0.903
ERA5_BARPA [-] 277. 277. 278. -0.177 0.322 0.0271 0.952 0.928 0.998 1.00 0.961
ERA5_CCAM [-] 278. 278. 278. 0.0270 0.0614 0.00761 0.989 0.988 1.00 1.00 0.993
MPI-ESM1-2-HR_BARPA [-] 278. 278. 278. 0.565 0.698 0.00909 0.855 0.895 0.999 1.00 0.929
NorESM2-MM_BARPA [-] 277. 277. 278. -0.666 1.13 0.190 0.837 0.785 0.988 0.972 0.873
NorESM2-MM_CCAM [-] 277. 277. 278. -0.791 0.961 0.118 0.806 0.862 0.992 0.995 0.904
NorESM2-MM_CMIP6 [-] 277. 277. 278. -0.759 0.927 0.118 0.812 0.866 0.992 0.996 0.907
Download Data
Period Mean (original grids) [K]
Model Period Mean (intersection) [K]
Benchmark Period Mean (intersection) [K]
Model Period Mean (complement) [K]
Benchmark Period Mean (complement) [K]
Bias [K]
RMSE [K]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 270.
ACCESS-CM2_BARPA [-] 270. 270. 270. -0.227 0.439 0.00 0.934 0.895 1.00 0.967 0.938
ACCESS-CM2_CCAM [-] 270. 270. 270. -0.285 0.537 0.00 0.918 0.874 1.00 0.957 0.925
ACCESS-CM2_CMIP6 [-] 270. 270. 270. -0.384 0.594 0.00 0.888 0.870 1.00 0.996 0.925
ACCESS-ESM1-5_BARPA [-] 271. 271. 270. 0.660 0.815 0.00 0.820 0.867 1.00 0.950 0.901
ACCESS-ESM1-5_CCAM [-] 271. 271. 270. 0.598 0.795 0.00 0.836 0.855 1.00 0.924 0.894
ACCESS-ESM1-5_CMIP6 [-] 271. 271. 270. 0.737 0.938 0.00 0.797 0.837 1.00 0.994 0.893
CESM2_BARPA [-] 269. 269. 270. -1.02 1.21 0.00 0.735 0.824 1.00 0.942 0.865
CESM2_CCAM [-] 270. 270. 270. -0.915 1.33 0.00 0.759 0.749 1.00 0.894 0.830
CMCC-ESM2_BARPA [-] 270. 270. 270. -0.402 0.503 0.00 0.886 0.914 1.00 0.952 0.933
CMCC-ESM2_CCAM [-] 270. 270. 270. -0.536 0.719 0.00 0.851 0.868 1.00 0.931 0.904
CMCC-ESM2_CMIP6 [-] 270. 270. 271. -0.513 0.777 0.00 0.859 0.844 1.00 0.668 0.843
CNRM-ESM2-1_CCAM [-] 269. 269. 270. -1.37 1.46 0.00 0.662 0.859 1.00 0.985 0.873
CNRM-ESM2-1_CMIP6 [-] 269. 269. 270. -1.53 1.61 0.00 0.629 0.860 1.00 0.982 0.866
EC-Earth3_BARPA [-] 271. 271. 270. 0.896 0.980 0.00 0.764 0.887 1.00 0.999 0.908
EC-Earth3_CCAM [-] 272. 272. 270. 1.09 1.17 0.00 0.721 0.879 1.00 1.00 0.896
EC-Earth3_CMIP6 [-] 272. 272. 271. 1.12 1.21 0.00 0.715 0.872 1.00 0.973 0.886
ERA5_BARPA [-] 270. 270. 270. -0.0996 0.151 0.00 0.970 0.968 1.00 0.997 0.981
ERA5_CCAM [-] 270. 270. 270. -0.0430 0.0689 0.00 0.983 0.990 1.00 0.998 0.992
MPI-ESM1-2-HR_BARPA [-] 270. 270. 270. -0.678 0.892 0.00 0.815 0.842 1.00 0.906 0.881
NorESM2-MM_BARPA [-] 269. 269. 270. -0.999 1.05 0.00 0.740 0.908 1.00 0.990 0.909
NorESM2-MM_CCAM [-] 269. 269. 270. -1.16 1.31 0.00 0.706 0.836 1.00 0.972 0.870
NorESM2-MM_CMIP6 [-] 270. 270. 271. -1.11 1.29 0.00 0.721 0.822 1.00 0.804 0.834
Download Data
Period Mean (original grids) [K]
Model Period Mean (intersection) [K]
Benchmark Period Mean (intersection) [K]
Model Period Mean (complement) [K]
Benchmark Period Mean (complement) [K]
Bias [K]
RMSE [K]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 270.
ACCESS-CM2_BARPA [-] 270. 270. 270. -0.309 0.522 0.00 0.912 0.884 1.00 0.985 0.933
ACCESS-CM2_CCAM [-] 270. 270. 270. -0.289 0.585 0.00 0.917 0.860 1.00 0.984 0.924
ACCESS-CM2_CMIP6 [-] 270. 270. 270. -0.222 0.541 0.00 0.937 0.864 1.00 1.00 0.933
ACCESS-ESM1-5_BARPA [-] 271. 271. 270. 0.514 0.773 0.00 0.858 0.843 1.00 0.976 0.904
ACCESS-ESM1-5_CCAM [-] 271. 271. 270. 0.553 0.829 0.00 0.848 0.832 1.00 0.973 0.897
ACCESS-ESM1-5_CMIP6 [-] 271. 271. 270. 0.921 1.09 0.00 0.762 0.840 1.00 1.00 0.888
CESM2_BARPA [-] 269. 269. 270. -1.15 1.36 0.00 0.708 0.806 1.00 0.979 0.860
CESM2_CCAM [-] 269. 269. 270. -0.942 1.42 0.00 0.754 0.729 1.00 0.973 0.837
CMCC-ESM2_BARPA [-] 270. 270. 270. -0.462 0.581 0.00 0.871 0.901 1.00 0.981 0.931
CMCC-ESM2_CCAM [-] 270. 270. 270. -0.500 0.732 0.00 0.861 0.854 1.00 0.976 0.909
CMCC-ESM2_CMIP6 [-] 270. 270. 270. -0.578 0.830 0.00 0.842 0.840 1.00 0.919 0.888
CNRM-ESM2-1_CCAM [-] 269. 269. 270. -1.36 1.45 0.00 0.666 0.861 1.00 0.996 0.877
CNRM-ESM2-1_CMIP6 [-] 269. 269. 270. -1.44 1.52 0.00 0.653 0.867 1.00 0.998 0.877
EC-Earth3_BARPA [-] 271. 271. 270. 0.929 1.03 0.00 0.757 0.877 1.00 1.00 0.902
EC-Earth3_CCAM [-] 271. 271. 270. 1.18 1.27 0.00 0.703 0.868 1.00 0.998 0.887
EC-Earth3_CMIP6 [-] 271. 271. 270. 1.12 1.21 0.00 0.716 0.870 1.00 1.00 0.891
ERA5_BARPA [-] 270. 270. 270. -0.0783 0.143 0.00 0.977 0.966 1.00 1.00 0.982
ERA5_CCAM [-] 270. 270. 270. 0.0404 0.0602 0.00 0.986 0.990 1.00 0.998 0.993
MPI-ESM1-2-HR_BARPA [-] 269. 269. 270. -0.853 1.07 0.00 0.775 0.826 1.00 0.939 0.873
NorESM2-MM_BARPA [-] 269. 269. 270. -1.05 1.09 0.00 0.731 0.912 1.00 1.00 0.911
NorESM2-MM_CCAM [-] 269. 269. 270. -1.13 1.29 0.00 0.713 0.833 1.00 1.00 0.876
NorESM2-MM_CMIP6 [-] 269. 269. 270. -1.25 1.41 0.00 0.689 0.825 1.00 0.983 0.864
Download Data
Period Mean (original grids) [K]
Model Period Mean (intersection) [K]
Benchmark Period Mean (intersection) [K]
Model Period Mean (complement) [K]
Benchmark Period Mean (complement) [K]
Bias [K]
RMSE [K]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 272.
ACCESS-CM2_BARPA [-] 273. 273. 272. 0.143 0.524 0.927 0.961 0.876 0.941 0.970 0.925
ACCESS-CM2_CCAM [-] 273. 273. 272. 0.206 0.620 0.927 0.946 0.857 0.941 0.978 0.916
ACCESS-CM2_CMIP6 [-] 273. 273. 273. 0.190 0.607 0.983 0.950 0.858 0.937 0.982 0.917
ACCESS-ESM1-5_BARPA [-] 273. 273. 272. 1.04 1.16 0.927 0.758 0.872 0.941 0.975 0.884
ACCESS-ESM1-5_CCAM [-] 274. 274. 272. 1.15 1.32 0.761 0.735 0.840 0.951 0.979 0.869
ACCESS-ESM1-5_CMIP6 [-] 274. 274. 273. 1.39 1.51 0.647 0.688 0.851 0.958 0.982 0.866
CESM2_BARPA [-] 272. 272. 272. -0.494 0.830 0.927 0.877 0.838 0.941 0.934 0.885
CESM2_CCAM [-] 272. 272. 272. -0.480 0.901 0.927 0.879 0.815 0.941 0.991 0.888
CMCC-ESM2_BARPA [-] 272. 272. 272. -0.0222 0.393 0.255 0.983 0.902 0.984 0.985 0.951
CMCC-ESM2_CCAM [-] 272. 272. 272. -0.0813 0.562 0.927 0.976 0.862 0.941 0.994 0.927
CMCC-ESM2_CMIP6 [-] 272. 272. 273. -0.148 0.594 0.983 0.961 0.857 0.937 1.00 0.922
CNRM-ESM2-1_CCAM [-] 271. 271. 272. -1.31 1.42 0.927 0.703 0.865 0.941 0.985 0.872
CNRM-ESM2-1_CMIP6 [-] 271. 271. 272. -1.41 1.50 0.660 0.685 0.872 0.958 0.906 0.859
EC-Earth3_BARPA [-] 273. 273. 272. 0.851 0.998 0.636 0.796 0.870 0.959 0.993 0.897
EC-Earth3_CCAM [-] 273. 273. 272. 1.03 1.16 0.927 0.759 0.866 0.941 0.972 0.881
EC-Earth3_CMIP6 [-] 274. 274. 272. 1.01 1.14 0.899 0.762 0.867 0.942 0.978 0.883
ERA5_BARPA [-] 272. 272. 272. -0.0422 0.217 0.0375 0.985 0.946 0.998 1.00 0.975
ERA5_CCAM [-] 272. 272. 272. -0.00642 0.0736 0.0656 0.988 0.987 0.996 0.997 0.991
MPI-ESM1-2-HR_BARPA [-] 273. 273. 272. 0.0759 0.606 0.0561 0.954 0.860 0.996 0.883 0.911
NorESM2-MM_BARPA [-] 272. 272. 272. -0.778 0.979 0.927 0.812 0.853 0.941 0.967 0.885
NorESM2-MM_CCAM [-] 272. 272. 272. -0.836 1.13 0.927 0.799 0.817 0.941 0.988 0.872
NorESM2-MM_CMIP6 [-] 272. 272. 273. -0.813 1.12 0.983 0.804 0.814 0.937 0.978 0.869
Download Data
Period Mean (original grids) [K]
Model Period Mean (intersection) [K]
Benchmark Period Mean (intersection) [K]
Model Period Mean (complement) [K]
Benchmark Period Mean (complement) [K]
Bias [K]
RMSE [K]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 272.
ACCESS-CM2_BARPA [-] 272. 272. 272. -0.0410 0.575 0.544 0.987 0.861 0.965 0.998 0.935
ACCESS-CM2_CCAM [-] 272. 272. 272. 0.0619 0.624 0.544 0.984 0.851 0.965 0.999 0.930
ACCESS-CM2_CMIP6 [-] 272. 272. 272. 0.0327 0.638 0.328 0.991 0.846 0.979 0.675 0.868
ACCESS-ESM1-5_BARPA [-] 273. 273. 272. 0.813 1.02 0.544 0.809 0.851 0.965 1.00 0.895
ACCESS-ESM1-5_CCAM [-] 273. 273. 272. 0.928 1.17 0.544 0.785 0.832 0.965 1.00 0.883
ACCESS-ESM1-5_CMIP6 [-] 273. 273. 272. 1.17 1.33 0.328 0.735 0.850 0.979 0.354 0.754
CESM2_BARPA [-] 272. 272. 272. -0.805 1.06 0.544 0.811 0.834 0.965 0.997 0.888
CESM2_CCAM [-] 272. 272. 272. -0.560 0.973 0.544 0.864 0.813 0.965 0.999 0.891
CMCC-ESM2_BARPA [-] 272. 272. 272. -0.211 0.499 0.544 0.947 0.889 0.965 1.00 0.938
CMCC-ESM2_CCAM [-] 272. 272. 272. -0.140 0.575 0.544 0.964 0.865 0.965 1.00 0.932
CMCC-ESM2_CMIP6 [-] 272. 272. 272. -0.195 0.592 0.396 0.950 0.864 0.975 0.998 0.930
CNRM-ESM2-1_CCAM [-] 271. 271. 272. -1.33 1.42 0.544 0.707 0.879 0.965 0.991 0.884
CNRM-ESM2-1_CMIP6 [-] 271. 271. 272. -1.35 1.42 0.00 0.699 0.887 1.00 1.00 0.894
EC-Earth3_BARPA [-] 273. 273. 272. 0.860 1.00 0.544 0.799 0.874 0.965 0.993 0.901
EC-Earth3_CCAM [-] 273. 273. 272. 1.11 1.22 0.544 0.748 0.875 0.965 0.996 0.892
EC-Earth3_CMIP6 [-] 273. 273. 272. 1.12 1.24 0.412 0.747 0.871 0.974 0.971 0.887
ERA5_BARPA [-] 272. 272. 272. -0.117 0.213 0.181 0.970 0.955 0.988 0.998 0.973
ERA5_CCAM [-] 272. 272. 272. -0.0320 0.0624 0.158 0.991 0.987 0.990 0.996 0.990
MPI-ESM1-2-HR_BARPA [-] 272. 272. 272. -0.190 0.684 0.439 0.952 0.843 0.972 0.959 0.914
NorESM2-MM_BARPA [-] 271. 271. 272. -1.03 1.20 0.544 0.764 0.854 0.965 0.998 0.887
NorESM2-MM_CCAM [-] 271. 271. 272. -0.981 1.20 0.544 0.774 0.836 0.965 0.993 0.881
NorESM2-MM_CMIP6 [-] 271. 271. 272. -1.03 1.23 0.396 0.765 0.837 0.975 1.00 0.883
Download Data
Period Mean (original grids) [K]
Model Period Mean (intersection) [K]
Benchmark Period Mean (intersection) [K]
Model Period Mean (complement) [K]
Benchmark Period Mean (complement) [K]
Bias [K]
RMSE [K]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 275.
ACCESS-CM2_BARPA [-] 275. 275. 275. 0.0653 0.639 0.983 0.984 0.851 0.937 0.999 0.925
ACCESS-CM2_CCAM [-] 275. 275. 275. 0.212 0.700 0.983 0.948 0.845 0.937 1.00 0.915
ACCESS-CM2_CMIP6 [-] 275. 275. 275. 0.126 0.668 0.983 0.969 0.848 0.937 1.00 0.920
ACCESS-ESM1-5_BARPA [-] 276. 276. 275. 0.787 0.952 0.788 0.819 0.873 0.949 0.998 0.903
ACCESS-ESM1-5_CCAM [-] 276. 276. 275. 0.975 1.20 0.209 0.781 0.839 0.987 1.00 0.889
ACCESS-ESM1-5_CMIP6 [-] 276. 276. 275. 1.18 1.30 0.00 0.743 0.869 1.00 0.999 0.896
CESM2_BARPA [-] 274. 274. 275. -0.613 0.901 0.0590 0.856 0.846 0.996 0.989 0.907
CESM2_CCAM [-] 274. 274. 275. -0.701 0.894 0.983 0.838 0.871 0.937 0.968 0.897
CMCC-ESM2_BARPA [-] 275. 275. 275. -0.0784 0.600 0.150 0.979 0.861 0.990 0.991 0.937
CMCC-ESM2_CCAM [-] 275. 275. 275. 0.115 0.534 0.963 0.971 0.877 0.938 0.995 0.932
CMCC-ESM2_CMIP6 [-] 275. 275. 275. 0.0956 0.528 0.840 0.976 0.877 0.946 0.996 0.935
CNRM-ESM2-1_CCAM [-] 273. 273. 275. -1.59 1.67 0.983 0.669 0.882 0.937 0.966 0.867
CNRM-ESM2-1_CMIP6 [-] 273. 273. 275. -1.69 1.77 0.983 0.651 0.877 0.937 0.975 0.863
EC-Earth3_BARPA [-] 276. 276. 275. 0.638 0.878 0.00 0.851 0.859 1.00 0.987 0.911
EC-Earth3_CCAM [-] 276. 276. 275. 0.988 1.13 0.00 0.779 0.868 1.00 0.991 0.901
EC-Earth3_CMIP6 [-] 276. 276. 275. 0.960 1.11 0.00 0.785 0.868 1.00 0.983 0.901
ERA5_BARPA [-] 275. 275. 275. -0.168 0.301 0.00 0.958 0.939 1.00 1.00 0.967
ERA5_CCAM [-] 275. 275. 275. 0.00997 0.0439 0.00 0.994 0.992 1.00 0.999 0.995
MPI-ESM1-2-HR_BARPA [-] 275. 275. 275. 0.377 0.642 0.00 0.909 0.879 1.00 0.978 0.929
NorESM2-MM_BARPA [-] 274. 274. 275. -1.06 1.33 0.801 0.765 0.816 0.949 0.998 0.869
NorESM2-MM_CCAM [-] 274. 274. 275. -0.941 1.14 0.728 0.788 0.851 0.953 1.00 0.889
NorESM2-MM_CMIP6 [-] 274. 274. 275. -0.882 1.09 0.840 0.800 0.852 0.946 1.00 0.890
Download Data
Period Mean (original grids) [K]
Model Period Mean (intersection) [K]
Benchmark Period Mean (intersection) [K]
Model Period Mean (complement) [K]
Benchmark Period Mean (complement) [K]
Bias [K]
RMSE [K]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 276.
ACCESS-CM2_BARPA [-] 276. 276. 276. 0.139 0.696 0.414 0.963 0.835 0.973 0.996 0.920
ACCESS-CM2_CCAM [-] 276. 276. 276. 0.147 0.686 0.414 0.961 0.837 0.973 0.998 0.921
ACCESS-CM2_CMIP6 [-] 276. 276. 276. 0.160 0.667 0.386 0.958 0.842 0.975 0.999 0.923
ACCESS-ESM1-5_BARPA [-] 277. 277. 276. 0.877 1.04 0.296 0.791 0.860 0.981 1.00 0.898
ACCESS-ESM1-5_CCAM [-] 277. 277. 276. 0.853 1.08 0.327 0.796 0.840 0.979 1.00 0.891
ACCESS-ESM1-5_CMIP6 [-] 277. 277. 276. 1.25 1.39 0.150 0.717 0.852 0.990 1.00 0.882
CESM2_BARPA [-] 275. 275. 276. -0.668 1.01 0.324 0.839 0.822 0.979 0.979 0.888
CESM2_CCAM [-] 275. 275. 276. -0.846 1.00 0.353 0.799 0.870 0.977 0.997 0.903
CMCC-ESM2_BARPA [-] 276. 276. 276. -0.112 0.877 0.414 0.959 0.797 0.973 0.985 0.902
CMCC-ESM2_CCAM [-] 276. 276. 276. -0.0431 0.773 0.297 0.978 0.815 0.981 0.995 0.917
CMCC-ESM2_CMIP6 [-] 276. 276. 276. -0.0216 0.800 0.346 0.985 0.809 0.978 0.998 0.916
CNRM-ESM2-1_CCAM [-] 274. 274. 276. -1.77 1.86 0.414 0.624 0.861 0.973 0.977 0.859
CNRM-ESM2-1_CMIP6 [-] 274. 274. 276. -1.86 1.94 0.399 0.610 0.860 0.974 0.979 0.857
EC-Earth3_BARPA [-] 277. 277. 276. 0.848 1.19 0.306 0.798 0.801 0.980 0.995 0.875
EC-Earth3_CCAM [-] 277. 277. 276. 1.14 1.35 0.255 0.739 0.823 0.984 0.981 0.870
EC-Earth3_CMIP6 [-] 277. 277. 276. 1.11 1.35 0.368 0.744 0.817 0.976 0.983 0.867
ERA5_BARPA [-] 276. 276. 276. -0.239 0.296 0.269 0.938 0.955 0.983 0.999 0.966
ERA5_CCAM [-] 276. 276. 276. -0.0361 0.0689 0.0588 0.990 0.986 0.996 0.999 0.992
MPI-ESM1-2-HR_BARPA [-] 276. 276. 276. 0.315 0.641 0.546 0.919 0.869 0.965 0.985 0.921
NorESM2-MM_BARPA [-] 275. 275. 276. -1.03 1.36 0.345 0.760 0.795 0.978 0.982 0.862
NorESM2-MM_CCAM [-] 275. 275. 276. -1.07 1.23 0.249 0.754 0.849 0.984 0.988 0.885
NorESM2-MM_CMIP6 [-] 275. 275. 276. -1.03 1.19 0.151 0.761 0.853 0.990 0.988 0.889
Download Data
Period Mean (original grids) [K]
Model Period Mean (intersection) [K]
Benchmark Period Mean (intersection) [K]
Model Period Mean (complement) [K]
Benchmark Period Mean (complement) [K]
Bias [K]
RMSE [K]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 282.
ACCESS-CM2_BARPA [-] 282. 282. 282. 0.00270 0.501 0.456 0.893 0.552 0.962 0.996 0.791
ACCESS-CM2_CCAM [-] 282. 282. 282. 0.0402 0.483 0.457 0.874 0.568 0.964 0.986 0.792
ACCESS-CM2_CMIP6 [-] 282. 282. 282. -0.119 0.416 0.198 0.874 0.627 0.987 0.994 0.822
ACCESS-ESM1-5_BARPA [-] 283. 283. 282. 0.317 0.578 0.390 0.667 0.575 0.970 0.996 0.757
ACCESS-ESM1-5_CCAM [-] 283. 283. 282. 1.07 1.20 0.374 0.276 0.542 0.972 0.991 0.664
ACCESS-ESM1-5_CMIP6 [-] 284. 284. 282. 1.25 1.33 0.00 0.232 0.613 1.00 0.971 0.686
CESM2_BARPA [-] 283. 283. 282. 0.442 0.686 2.46 0.569 0.515 0.632 0.989 0.644
CESM2_CCAM [-] 282. 283. 282. 0.182 0.502 2.74 0.788 0.564 0.587 0.999 0.701
CMCC-ESM2_BARPA [-] 283. 283. 282. 0.443 0.538 1.58 0.572 0.681 0.782 0.997 0.742
CMCC-ESM2_CCAM [-] 282. 282. 282. 0.0856 0.248 1.17 0.907 0.756 0.835 0.996 0.850
CMCC-ESM2_CMIP6 [-] 282. 282. 282. 0.0468 0.243 1.57 0.936 0.734 0.745 1.00 0.830
CNRM-ESM2-1_CCAM [-] 280. 280. 282. -2.34 2.37 0.556 0.0648 0.648 0.964 0.951 0.655
CNRM-ESM2-1_CMIP6 [-] 280. 280. 283. -2.45 2.48 0.501 0.0305 0.596 0.967 0.668 0.572
EC-Earth3_BARPA [-] 282. 282. 282. -0.450 0.647 0.435 0.565 0.579 0.967 0.999 0.738
EC-Earth3_CCAM [-] 282. 282. 282. -0.102 0.370 0.478 0.887 0.663 0.960 0.997 0.834
EC-Earth3_CMIP6 [-] 282. 282. 282. -0.191 0.402 0.361 0.782 0.656 0.971 1.00 0.813
ERA5_BARPA [-] 282. 282. 282. -0.373 0.412 0.718 0.622 0.832 0.944 1.00 0.846
ERA5_CCAM [-] 282. 282. 282. 0.0886 0.111 0.376 0.890 0.929 0.966 1.00 0.943
MPI-ESM1-2-HR_BARPA [-] 282. 282. 282. 0.157 0.373 1.78 0.810 0.663 0.706 1.00 0.768
NorESM2-MM_BARPA [-] 283. 283. 282. 0.378 0.578 1.11 0.623 0.574 0.869 0.997 0.727
NorESM2-MM_CCAM [-] 282. 282. 282. 0.0175 0.383 0.907 0.944 0.619 0.864 0.996 0.808
NorESM2-MM_CMIP6 [-] 282. 282. 282. -0.0374 0.398 1.13 0.891 0.601 0.817 0.998 0.781

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 temperature 19590101-19590131

  History:
Fri Dec 16 07:02:55 2022: cdo -b F64 cat ta700/ta700_era5_moda_pl_19590101-19590131.nc ta700/ta700_era5_moda_pl_19590201-19590228.nc ta700/ta700_era5_moda_pl_19590301-19590331.nc ta700/ta700_era5_moda_pl_19590401-19590430.nc ta700/ta700_era5_moda_pl_19590501-19590531.nc ta700/ta700_era5_moda_pl_19590601-19590630.nc ta700/ta700_era5_moda_pl_19590701-19590731.nc ta700/ta700_era5_moda_pl_19590801-19590831.nc ta700/ta700_era5_moda_pl_19590901-19590930.nc ta700/ta700_era5_moda_pl_19591001-19591031.nc ta700/ta700_era5_moda_pl_19591101-19591130.nc ta700/ta700_era5_moda_pl_19591201-19591231.nc ta700/ta700_era5_moda_pl_19600101-19600131.nc ta700/ta700_era5_moda_pl_19600201-19600229.nc ta700/ta700_era5_moda_pl_19600301-19600331.nc ta700/ta700_era5_moda_pl_19600401-19600430.nc ta700/ta700_era5_moda_pl_19600501-19600531.nc ta700/ta700_era5_moda_pl_19600601-19600630.nc ta700/ta700_era5_moda_pl_19600701-19600731.nc ta700/ta700_era5_moda_pl_19600801-19600831.nc ta700/ta700_era5_moda_pl_19600901-19600930.nc ta700/ta700_era5_moda_pl_19601001-19601031.nc ta700/ta700_era5_moda_pl_19601101-19601130.nc ta700/ta700_era5_moda_pl_19601201-19601231.nc ta700/ta700_era5_moda_pl_19610101-19610131.nc ta700/ta700_era5_moda_pl_19610201-19610228.nc ta700/ta700_era5_moda_pl_19610301-19610331.nc ta700/ta700_era5_moda_pl_19610401-19610430.nc ta700/ta700_era5_moda_pl_19610501-19610531.nc ta700/ta700_era5_moda_pl_19610601-19610630.nc ta700/ta700_era5_moda_pl_19610701-19610731.nc ta700/ta700_era5_moda_pl_19610801-19610831.nc ta700/ta700_era5_moda_pl_19610901-19610930.nc ta700/ta700_era5_moda_pl_19611001-19611031.nc ta700/ta700_era5_moda_pl_19611101-19611130.nc ta700/ta700_era5_moda_pl_19611201-19611231.nc ta700/ta700_era5_moda_pl_19620101-19620131.nc ta700/ta700_era5_moda_pl_19620201-19620228.nc ta700/ta700_era5_moda_pl_19620301-19620331.nc ta700/ta700_era5_moda_pl_19620401-19620430.nc ta700/ta700_era5_moda_pl_19620501-19620531.nc ta700/ta700_era5_moda_pl_19620601-19620630.nc ta700/ta700_era5_moda_pl_19620701-19620731.nc ta700/ta700_era5_moda_pl_19620801-19620831.nc ta700/ta700_era5_moda_pl_19620901-19620930.nc ta700/ta700_era5_moda_pl_19621001-19621031.nc ta700/ta700_era5_moda_pl_19621101-19621130.nc ta700/ta700_era5_moda_pl_19621201-19621231.nc ta700/ta700_era5_moda_pl_19630101-19630131.nc ta700/ta700_era5_moda_pl_19630201-19630228.nc ta700/ta700_era5_moda_pl_19630301-19630331.nc ta700/ta700_era5_moda_pl_19630401-19630430.nc ta700/ta700_era5_moda_pl_19630501-19630531.nc ta700/ta700_era5_moda_pl_19630601-19630630.nc ta700/ta700_era5_moda_pl_19630701-19630731.nc ta700/ta700_era5_moda_pl_19630801-19630831.nc ta700/ta700_era5_moda_pl_19630901-19630930.nc ta700/ta700_era5_moda_pl_19631001-19631031.nc ta700/ta700_era5_moda_pl_19631101-19631130.nc ta700/ta700_era5_moda_pl_19631201-19631231.nc ta700/ta700_era5_moda_pl_19640101-19640131.nc ta700/ta700_era5_moda_pl_19640201-19640229.nc ta700/ta700_era5_moda_pl_19640301-19640331.nc ta700/ta700_era5_moda_pl_19640401-19640430.nc ta700/ta700_era5_moda_pl_19640501-19640531.nc ta700/ta700_era5_moda_pl_19640601-19640630.nc ta700/ta700_era5_moda_pl_19640701-19640731.nc ta700/ta700_era5_moda_pl_19640801-19640831.nc ta700/ta700_era5_moda_pl_19640901-19640930.nc ta700/ta700_era5_moda_pl_19641001-19641031.nc ta700/ta700_era5_moda_pl_19641101-19641130.nc ta700/ta700_era5_moda_pl_19641201-19641231.nc ta700/ta700_era5_moda_pl_19650101-19650131.nc ta700/ta700_era5_moda_pl_19650201-19650228.nc ta700/ta700_era5_moda_pl_19650301-19650331.nc ta700/ta700_era5_moda_pl_19650401-19650430.nc ta700/ta700_era5_moda_pl_19650501-19650531.nc ta700/ta700_era5_moda_pl_19650601-19650630.nc ta700/ta700_era5_moda_pl_19650701-19650731.nc ta700/ta700_era5_moda_pl_19650801-19650831.nc ta700/ta700_era5_moda_pl_19650901-19650930.nc ta700/ta700_era5_moda_pl_19651001-19651031.nc ta700/ta700_era5_moda_pl_19651101-19651130.nc ta700/ta700_era5_moda_pl_19651201-19651231.nc ta700/ta700_era5_moda_pl_19660101-19660131.nc ta700/ta700_era5_moda_pl_19660201-19660228.nc ta700/ta700_era5_moda_pl_19660301-19660331.nc ta700/ta700_era5_moda_pl_19660401-19660430.nc ta700/ta700_era5_moda_pl_19660501-19660531.nc ta700/ta700_era5_moda_pl_19660601-19660630.nc ta700/ta700_era5_moda_pl_19660701-19660731.nc ta700/ta700_era5_moda_pl_19660801-19660831.nc ta700/ta700_era5_moda_pl_19660901-19660930.nc ta700/ta700_era5_moda_pl_19661001-19661031.nc ta700/ta700_era5_moda_pl_19661101-19661130.nc ta700/ta700_era5_moda_pl_19661201-19661231.nc ta700/ta700_era5_moda_pl_19670101-19670131.nc ta700/ta700_era5_moda_pl_19670201-19670228.nc ta700/ta700_era5_moda_pl_19670301-19670331.nc ta700/ta700_era5_moda_pl_19670401-19670430.nc ta700/ta700_era5_moda_pl_19670501-19670531.nc ta700/ta700_era5_moda_pl_19670601-19670630.nc ta700/ta700_era5_moda_pl_19670701-19670731.nc ta700/ta700_era5_moda_pl_19670801-19670831.nc ta700/ta700_era5_moda_pl_19670901-19670930.nc ta700/ta700_era5_moda_pl_19671001-19671031.nc ta700/ta700_era5_moda_pl_19671101-19671130.nc ta700/ta700_era5_moda_pl_19671201-19671231.nc ta700/ta700_era5_moda_pl_19680101-19680131.nc ta700/ta700_era5_moda_pl_19680201-19680229.nc ta700/ta700_era5_moda_pl_19680301-19680331.nc ta700/ta700_era5_moda_pl_19680401-19680430.nc ta700/ta700_era5_moda_pl_19680501-19680531.nc ta700/ta700_era5_moda_pl_19680601-19680630.nc ta700/ta700_era5_moda_pl_19680701-19680731.nc ta700/ta700_era5_moda_pl_19680801-19680831.nc ta700/ta700_era5_moda_pl_19680901-19680930.nc ta700/ta700_era5_moda_pl_19681001-19681031.nc ta700/ta700_era5_moda_pl_19681101-19681130.nc ta700/ta700_era5_moda_pl_19681201-19681231.nc ta700/ta700_era5_moda_pl_19690101-19690131.nc ta700/ta700_era5_moda_pl_19690201-19690228.nc ta700/ta700_era5_moda_pl_19690301-19690331.nc ta700/ta700_era5_moda_pl_19690401-19690430.nc ta700/ta700_era5_moda_pl_19690501-19690531.nc ta700/ta700_era5_moda_pl_19690601-19690630.nc ta700/ta700_era5_moda_pl_19690701-19690731.nc ta700/ta700_era5_moda_pl_19690801-19690831.nc ta700/ta700_era5_moda_pl_19690901-19690930.nc ta700/ta700_era5_moda_pl_19691001-19691031.nc ta700/ta700_era5_moda_pl_19691101-19691130.nc ta700/ta700_era5_moda_pl_19691201-19691231.nc ta700/ta700_era5_moda_pl_19700101-19700131.nc ta700/ta700_era5_moda_pl_19700201-19700228.nc ta700/ta700_era5_moda_pl_19700301-19700331.nc ta700/ta700_era5_moda_pl_19700401-19700430.nc ta700/ta700_era5_moda_pl_19700501-19700531.nc ta700/ta700_era5_moda_pl_19700601-19700630.nc ta700/ta700_era5_moda_pl_19700701-19700731.nc ta700/ta700_era5_moda_pl_19700801-19700831.nc ta700/ta700_era5_moda_pl_19700901-19700930.nc ta700/ta700_era5_moda_pl_19701001-19701031.nc ta700/ta700_era5_moda_pl_19701101-19701130.nc ta700/ta700_era5_moda_pl_19701201-19701231.nc ta700/ta700_era5_moda_pl_19710101-19710131.nc ta700/ta700_era5_moda_pl_19710201-19710228.nc ta700/ta700_era5_moda_pl_19710301-19710331.nc ta700/ta700_era5_moda_pl_19710401-19710430.nc ta700/ta700_era5_moda_pl_19710501-19710531.nc ta700/ta700_era5_moda_pl_19710601-19710630.nc ta700/ta700_era5_moda_pl_19710701-19710731.nc ta700/ta700_era5_moda_pl_19710801-19710831.nc ta700/ta700_era5_moda_pl_19710901-19710930.nc ta700/ta700_era5_moda_pl_19711001-19711031.nc ta700/ta700_era5_moda_pl_19711101-19711130.nc ta700/ta700_era5_moda_pl_19711201-19711231.nc ta700/ta700_era5_moda_pl_19720101-19720131.nc ta700/ta700_era5_moda_pl_19720201-19720229.nc ta700/ta700_era5_moda_pl_19720301-19720331.nc ta700/ta700_era5_moda_pl_19720401-19720430.nc ta700/ta700_era5_moda_pl_19720501-19720531.nc ta700/ta700_era5_moda_pl_19720601-19720630.nc ta700/ta700_era5_moda_pl_19720701-19720731.nc ta700/ta700_era5_moda_pl_19720801-19720831.nc ta700/ta700_era5_moda_pl_19720901-19720930.nc ta700/ta700_era5_moda_pl_19721001-19721031.nc ta700/ta700_era5_moda_pl_19721101-19721130.nc ta700/ta700_era5_moda_pl_19721201-19721231.nc ta700/ta700_era5_moda_pl_19730101-19730131.nc ta700/ta700_era5_moda_pl_19730201-19730228.nc ta700/ta700_era5_moda_pl_19730301-19730331.nc ta700/ta700_era5_moda_pl_19730401-19730430.nc ta700/ta700_era5_moda_pl_19730501-19730531.nc ta700/ta700_era5_moda_pl_19730601-19730630.nc ta700/ta700_era5_moda_pl_19730701-19730731.nc ta700/ta700_era5_moda_pl_19730801-19730831.nc ta700/ta700_era5_moda_pl_19730901-19730930.nc ta700/ta700_era5_moda_pl_19731001-19731031.nc ta700/ta700_era5_moda_pl_19731101-19731130.nc ta700/ta700_era5_moda_pl_19731201-19731231.nc ta700/ta700_era5_moda_pl_19740101-19740131.nc ta700/ta700_era5_moda_pl_19740201-19740228.nc ta700/ta700_era5_moda_pl_19740301-19740331.nc ta700/ta700_era5_moda_pl_19740401-19740430.nc ta700/ta700_era5_moda_pl_19740501-19740531.nc ta700/ta700_era5_moda_pl_19740601-19740630.nc ta700/ta700_era5_moda_pl_19740701-19740731.nc ta700/ta700_era5_moda_pl_19740801-19740831.nc ta700/ta700_era5_moda_pl_19740901-19740930.nc ta700/ta700_era5_moda_pl_19741001-19741031.nc ta700/ta700_era5_moda_pl_19741101-19741130.nc ta700/ta700_era5_moda_pl_19741201-19741231.nc ta700/ta700_era5_moda_pl_19750101-19750131.nc ta700/ta700_era5_moda_pl_19750201-19750228.nc ta700/ta700_era5_moda_pl_19750301-19750331.nc ta700/ta700_era5_moda_pl_19750401-19750430.nc ta700/ta700_era5_moda_pl_19750501-19750531.nc ta700/ta700_era5_moda_pl_19750601-19750630.nc ta700/ta700_era5_moda_pl_19750701-19750731.nc ta700/ta700_era5_moda_pl_19750801-19750831.nc ta700/ta700_era5_moda_pl_19750901-19750930.nc ta700/ta700_era5_moda_pl_19751001-19751031.nc ta700/ta700_era5_moda_pl_19751101-19751130.nc ta700/ta700_era5_moda_pl_19751201-19751231.nc ta700/ta700_era5_moda_pl_19760101-19760131.nc ta700/ta700_era5_moda_pl_19760201-19760229.nc ta700/ta700_era5_moda_pl_19760301-19760331.nc ta700/ta700_era5_moda_pl_19760401-19760430.nc ta700/ta700_era5_moda_pl_19760501-19760531.nc ta700/ta700_era5_moda_pl_19760601-19760630.nc ta700/ta700_era5_moda_pl_19760701-19760731.nc ta700/ta700_era5_moda_pl_19760801-19760831.nc ta700/ta700_era5_moda_pl_19760901-19760930.nc ta700/ta700_era5_moda_pl_19761001-19761031.nc ta700/ta700_era5_moda_pl_19761101-19761130.nc ta700/ta700_era5_moda_pl_19761201-19761231.nc ta700/ta700_era5_moda_pl_19770101-19770131.nc ta700/ta700_era5_moda_pl_19770201-19770228.nc ta700/ta700_era5_moda_pl_19770301-19770331.nc ta700/ta700_era5_moda_pl_19770401-19770430.nc ta700/ta700_era5_moda_pl_19770501-19770531.nc ta700/ta700_era5_moda_pl_19770601-19770630.nc ta700/ta700_era5_moda_pl_19770701-19770731.nc ta700/ta700_era5_moda_pl_19770801-19770831.nc ta700/ta700_era5_moda_pl_19770901-19770930.nc ta700/ta700_era5_moda_pl_19771001-19771031.nc ta700/ta700_era5_moda_pl_19771101-19771130.nc ta700/ta700_era5_moda_pl_19771201-19771231.nc ta700/ta700_era5_moda_pl_19780101-19780131.nc ta700/ta700_era5_moda_pl_19780201-19780228.nc ta700/ta700_era5_moda_pl_19780301-19780331.nc ta700/ta700_era5_moda_pl_19780401-19780430.nc ta700/ta700_era5_moda_pl_19780501-19780531.nc ta700/ta700_era5_moda_pl_19780601-19780630.nc ta700/ta700_era5_moda_pl_19780701-19780731.nc ta700/ta700_era5_moda_pl_19780801-19780831.nc ta700/ta700_era5_moda_pl_19780901-19780930.nc ta700/ta700_era5_moda_pl_19781001-19781031.nc ta700/ta700_era5_moda_pl_19781101-19781130.nc ta700/ta700_era5_moda_pl_19781201-19781231.nc ta700/ta700_era5_moda_pl_19790101-19790131.nc ta700/ta700_era5_moda_pl_19790201-19790228.nc ta700/ta700_era5_moda_pl_19790301-19790331.nc ta700/ta700_era5_moda_pl_19790401-19790430.nc ta700/ta700_era5_moda_pl_19790501-19790531.nc ta700/ta700_era5_moda_pl_19790601-19790630.nc ta700/ta700_era5_moda_pl_19790701-19790731.nc ta700/ta700_era5_moda_pl_19790801-19790831.nc ta700/ta700_era5_moda_pl_19790901-19790930.nc ta700/ta700_era5_moda_pl_19791001-19791031.nc ta700/ta700_era5_moda_pl_19791101-19791130.nc ta700/ta700_era5_moda_pl_19791201-19791231.nc ta700/ta700_era5_moda_pl_19800101-19800131.nc ta700/ta700_era5_moda_pl_19800201-19800229.nc ta700/ta700_era5_moda_pl_19800301-19800331.nc ta700/ta700_era5_moda_pl_19800401-19800430.nc ta700/ta700_era5_moda_pl_19800501-19800531.nc ta700/ta700_era5_moda_pl_19800601-19800630.nc ta700/ta700_era5_moda_pl_19800701-19800731.nc ta700/ta700_era5_moda_pl_19800801-19800831.nc ta700/ta700_era5_moda_pl_19800901-19800930.nc ta700/ta700_era5_moda_pl_19801001-19801031.nc ta700/ta700_era5_moda_pl_19801101-19801130.nc ta700/ta700_era5_moda_pl_19801201-19801231.nc ta700/ta700_era5_moda_pl_19810101-19810131.nc ta700/ta700_era5_moda_pl_19810201-19810228.nc ta700/ta700_era5_moda_pl_19810301-19810331.nc ta700/ta700_era5_moda_pl_19810401-19810430.nc ta700/ta700_era5_moda_pl_19810501-19810531.nc ta700/ta700_era5_moda_pl_19810601-19810630.nc ta700/ta700_era5_moda_pl_19810701-19810731.nc ta700/ta700_era5_moda_pl_19810801-19810831.nc ta700/ta700_era5_moda_pl_19810901-19810930.nc ta700/ta700_era5_moda_pl_19811001-19811031.nc ta700/ta700_era5_moda_pl_19811101-19811130.nc ta700/ta700_era5_moda_pl_19811201-19811231.nc ta700/ta700_era5_moda_pl_19820101-19820131.nc ta700/ta700_era5_moda_pl_19820201-19820228.nc ta700/ta700_era5_moda_pl_19820301-19820331.nc ta700/ta700_era5_moda_pl_19820401-19820430.nc ta700/ta700_era5_moda_pl_19820501-19820531.nc ta700/ta700_era5_moda_pl_19820601-19820630.nc ta700/ta700_era5_moda_pl_19820701-19820731.nc ta700/ta700_era5_moda_pl_19820801-19820831.nc ta700/ta700_era5_moda_pl_19820901-19820930.nc ta700/ta700_era5_moda_pl_19821001-19821031.nc ta700/ta700_era5_moda_pl_19821101-19821130.nc ta700/ta700_era5_moda_pl_19821201-19821231.nc ta700/ta700_era5_moda_pl_19830101-19830131.nc ta700/ta700_era5_moda_pl_19830201-19830228.nc ta700/ta700_era5_moda_pl_19830301-19830331.nc ta700/ta700_era5_moda_pl_19830401-19830430.nc ta700/ta700_era5_moda_pl_19830501-19830531.nc ta700/ta700_era5_moda_pl_19830601-19830630.nc ta700/ta700_era5_moda_pl_19830701-19830731.nc ta700/ta700_era5_moda_pl_19830801-19830831.nc ta700/ta700_era5_moda_pl_19830901-19830930.nc ta700/ta700_era5_moda_pl_19831001-19831031.nc ta700/ta700_era5_moda_pl_19831101-19831130.nc ta700/ta700_era5_moda_pl_19831201-19831231.nc ta700/ta700_era5_moda_pl_19840101-19840131.nc ta700/ta700_era5_moda_pl_19840201-19840229.nc ta700/ta700_era5_moda_pl_19840301-19840331.nc ta700/ta700_era5_moda_pl_19840401-19840430.nc ta700/ta700_era5_moda_pl_19840501-19840531.nc ta700/ta700_era5_moda_pl_19840601-19840630.nc ta700/ta700_era5_moda_pl_19840701-19840731.nc ta700/ta700_era5_moda_pl_19840801-19840831.nc ta700/ta700_era5_moda_pl_19840901-19840930.nc ta700/ta700_era5_moda_pl_19841001-19841031.nc ta700/ta700_era5_moda_pl_19841101-19841130.nc ta700/ta700_era5_moda_pl_19841201-19841231.nc ta700/ta700_era5_moda_pl_19850101-19850131.nc ta700/ta700_era5_moda_pl_19850201-19850228.nc ta700/ta700_era5_moda_pl_19850301-19850331.nc ta700/ta700_era5_moda_pl_19850401-19850430.nc ta700/ta700_era5_moda_pl_19850501-19850531.nc ta700/ta700_era5_moda_pl_19850601-19850630.nc ta700/ta700_era5_moda_pl_19850701-19850731.nc ta700/ta700_era5_moda_pl_19850801-19850831.nc ta700/ta700_era5_moda_pl_19850901-19850930.nc ta700/ta700_era5_moda_pl_19851001-19851031.nc ta700/ta700_era5_moda_pl_19851101-19851130.nc ta700/ta700_era5_moda_pl_19851201-19851231.nc ta700/ta700_era5_moda_pl_19860101-19860131.nc ta700/ta700_era5_moda_pl_19860201-19860228.nc ta700/ta700_era5_moda_pl_19860301-19860331.nc ta700/ta700_era5_moda_pl_19860401-19860430.nc ta700/ta700_era5_moda_pl_19860501-19860531.nc ta700/ta700_era5_moda_pl_19860601-19860630.nc ta700/ta700_era5_moda_pl_19860701-19860731.nc ta700/ta700_era5_moda_pl_19860801-19860831.nc ta700/ta700_era5_moda_pl_19860901-19860930.nc ta700/ta700_era5_moda_pl_19861001-19861031.nc ta700/ta700_era5_moda_pl_19861101-19861130.nc ta700/ta700_era5_moda_pl_19861201-19861231.nc ta700/ta700_era5_moda_pl_19870101-19870131.nc ta700/ta700_era5_moda_pl_19870201-19870228.nc ta700/ta700_era5_moda_pl_19870301-19870331.nc ta700/ta700_era5_moda_pl_19870401-19870430.nc ta700/ta700_era5_moda_pl_19870501-19870531.nc ta700/ta700_era5_moda_pl_19870601-19870630.nc ta700/ta700_era5_moda_pl_19870701-19870731.nc ta700/ta700_era5_moda_pl_19870801-19870831.nc ta700/ta700_era5_moda_pl_19870901-19870930.nc ta700/ta700_era5_moda_pl_19871001-19871031.nc ta700/ta700_era5_moda_pl_19871101-19871130.nc ta700/ta700_era5_moda_pl_19871201-19871231.nc ta700/ta700_era5_moda_pl_19880101-19880131.nc ta700/ta700_era5_moda_pl_19880201-19880229.nc ta700/ta700_era5_moda_pl_19880301-19880331.nc ta700/ta700_era5_moda_pl_19880401-19880430.nc ta700/ta700_era5_moda_pl_19880501-19880531.nc ta700/ta700_era5_moda_pl_19880601-19880630.nc ta700/ta700_era5_moda_pl_19880701-19880731.nc ta700/ta700_era5_moda_pl_19880801-19880831.nc ta700/ta700_era5_moda_pl_19880901-19880930.nc ta700/ta700_era5_moda_pl_19881001-19881031.nc ta700/ta700_era5_moda_pl_19881101-19881130.nc ta700/ta700_era5_moda_pl_19881201-19881231.nc ta700/ta700_era5_moda_pl_19890101-19890131.nc ta700/ta700_era5_moda_pl_19890201-19890228.nc ta700/ta700_era5_moda_pl_19890301-19890331.nc ta700/ta700_era5_moda_pl_19890401-19890430.nc ta700/ta700_era5_moda_pl_19890501-19890531.nc ta700/ta700_era5_moda_pl_19890601-19890630.nc ta700/ta700_era5_moda_pl_19890701-19890731.nc ta700/ta700_era5_moda_pl_19890801-19890831.nc ta700/ta700_era5_moda_pl_19890901-19890930.nc ta700/ta700_era5_moda_pl_19891001-19891031.nc ta700/ta700_era5_moda_pl_19891101-19891130.nc ta700/ta700_era5_moda_pl_19891201-19891231.nc ta700/ta700_era5_moda_pl_19900101-19900131.nc ta700/ta700_era5_moda_pl_19900201-19900228.nc ta700/ta700_era5_moda_pl_19900301-19900331.nc ta700/ta700_era5_moda_pl_19900401-19900430.nc ta700/ta700_era5_moda_pl_19900501-19900531.nc ta700/ta700_era5_moda_pl_19900601-19900630.nc ta700/ta700_era5_moda_pl_19900701-19900731.nc ta700/ta700_era5_moda_pl_19900801-19900831.nc ta700/ta700_era5_moda_pl_19900901-19900930.nc ta700/ta700_era5_moda_pl_19901001-19901031.nc ta700/ta700_era5_moda_pl_19901101-19901130.nc ta700/ta700_era5_moda_pl_19901201-19901231.nc ta700/ta700_era5_moda_pl_19910101-19910131.nc ta700/ta700_era5_moda_pl_19910201-19910228.nc ta700/ta700_era5_moda_pl_19910301-19910331.nc ta700/ta700_era5_moda_pl_19910401-19910430.nc ta700/ta700_era5_moda_pl_19910501-19910531.nc ta700/ta700_era5_moda_pl_19910601-19910630.nc ta700/ta700_era5_moda_pl_19910701-19910731.nc ta700/ta700_era5_moda_pl_19910801-19910831.nc ta700/ta700_era5_moda_pl_19910901-19910930.nc ta700/ta700_era5_moda_pl_19911001-19911031.nc ta700/ta700_era5_moda_pl_19911101-19911130.nc ta700/ta700_era5_moda_pl_19911201-19911231.nc ta700/ta700_era5_moda_pl_19920101-19920131.nc ta700/ta700_era5_moda_pl_19920201-19920229.nc ta700/ta700_era5_moda_pl_19920301-19920331.nc ta700/ta700_era5_moda_pl_19920401-19920430.nc ta700/ta700_era5_moda_pl_19920501-19920531.nc ta700/ta700_era5_moda_pl_19920601-19920630.nc ta700/ta700_era5_moda_pl_19920701-19920731.nc ta700/ta700_era5_moda_pl_19920801-19920831.nc ta700/ta700_era5_moda_pl_19920901-19920930.nc ta700/ta700_era5_moda_pl_19921001-19921031.nc ta700/ta700_era5_moda_pl_19921101-19921130.nc ta700/ta700_era5_moda_pl_19921201-19921231.nc ta700/ta700_era5_moda_pl_19930101-19930131.nc ta700/ta700_era5_moda_pl_19930201-19930228.nc ta700/ta700_era5_moda_pl_19930301-19930331.nc ta700/ta700_era5_moda_pl_19930401-19930430.nc ta700/ta700_era5_moda_pl_19930501-19930531.nc ta700/ta700_era5_moda_pl_19930601-19930630.nc ta700/ta700_era5_moda_pl_19930701-19930731.nc ta700/ta700_era5_moda_pl_19930801-19930831.nc ta700/ta700_era5_moda_pl_19930901-19930930.nc ta700/ta700_era5_moda_pl_19931001-19931031.nc ta700/ta700_era5_moda_pl_19931101-19931130.nc ta700/ta700_era5_moda_pl_19931201-19931231.nc ta700/ta700_era5_moda_pl_19940101-19940131.nc ta700/ta700_era5_moda_pl_19940201-19940228.nc ta700/ta700_era5_moda_pl_19940301-19940331.nc ta700/ta700_era5_moda_pl_19940401-19940430.nc ta700/ta700_era5_moda_pl_19940501-19940531.nc ta700/ta700_era5_moda_pl_19940601-19940630.nc ta700/ta700_era5_moda_pl_19940701-19940731.nc ta700/ta700_era5_moda_pl_19940801-19940831.nc ta700/ta700_era5_moda_pl_19940901-19940930.nc ta700/ta700_era5_moda_pl_19941001-19941031.nc ta700/ta700_era5_moda_pl_19941101-19941130.nc ta700/ta700_era5_moda_pl_19941201-19941231.nc ta700/ta700_era5_moda_pl_19950101-19950131.nc ta700/ta700_era5_moda_pl_19950201-19950228.nc ta700/ta700_era5_moda_pl_19950301-19950331.nc ta700/ta700_era5_moda_pl_19950401-19950430.nc ta700/ta700_era5_moda_pl_19950501-19950531.nc ta700/ta700_era5_moda_pl_19950601-19950630.nc ta700/ta700_era5_moda_pl_19950701-19950731.nc ta700/ta700_era5_moda_pl_19950801-19950831.nc ta700/ta700_era5_moda_pl_19950901-19950930.nc ta700/ta700_era5_moda_pl_19951001-19951031.nc ta700/ta700_era5_moda_pl_19951101-19951130.nc ta700/ta700_era5_moda_pl_19951201-19951231.nc ta700/ta700_era5_moda_pl_19960101-19960131.nc ta700/ta700_era5_moda_pl_19960201-19960229.nc ta700/ta700_era5_moda_pl_19960301-19960331.nc ta700/ta700_era5_moda_pl_19960401-19960430.nc ta700/ta700_era5_moda_pl_19960501-19960531.nc ta700/ta700_era5_moda_pl_19960601-19960630.nc ta700/ta700_era5_moda_pl_19960701-19960731.nc ta700/ta700_era5_moda_pl_19960801-19960831.nc ta700/ta700_era5_moda_pl_19960901-19960930.nc ta700/ta700_era5_moda_pl_19961001-19961031.nc ta700/ta700_era5_moda_pl_19961101-19961130.nc ta700/ta700_era5_moda_pl_19961201-19961231.nc ta700/ta700_era5_moda_pl_19970101-19970131.nc ta700/ta700_era5_moda_pl_19970201-19970228.nc ta700/ta700_era5_moda_pl_19970301-19970331.nc ta700/ta700_era5_moda_pl_19970401-19970430.nc ta700/ta700_era5_moda_pl_19970501-19970531.nc ta700/ta700_era5_moda_pl_19970601-19970630.nc ta700/ta700_era5_moda_pl_19970701-19970731.nc ta700/ta700_era5_moda_pl_19970801-19970831.nc ta700/ta700_era5_moda_pl_19970901-19970930.nc ta700/ta700_era5_moda_pl_19971001-19971031.nc ta700/ta700_era5_moda_pl_19971101-19971130.nc ta700/ta700_era5_moda_pl_19971201-19971231.nc ta700/ta700_era5_moda_pl_19980101-19980131.nc ta700/ta700_era5_moda_pl_19980201-19980228.nc ta700/ta700_era5_moda_pl_19980301-19980331.nc ta700/ta700_era5_moda_pl_19980401-19980430.nc ta700/ta700_era5_moda_pl_19980501-19980531.nc ta700/ta700_era5_moda_pl_19980601-19980630.nc ta700/ta700_era5_moda_pl_19980701-19980731.nc ta700/ta700_era5_moda_pl_19980801-19980831.nc ta700/ta700_era5_moda_pl_19980901-19980930.nc ta700/ta700_era5_moda_pl_19981001-19981031.nc ta700/ta700_era5_moda_pl_19981101-19981130.nc ta700/ta700_era5_moda_pl_19981201-19981231.nc ta700/ta700_era5_moda_pl_19990101-19990131.nc ta700/ta700_era5_moda_pl_19990201-19990228.nc ta700/ta700_era5_moda_pl_19990301-19990331.nc ta700/ta700_era5_moda_pl_19990401-19990430.nc ta700/ta700_era5_moda_pl_19990501-19990531.nc ta700/ta700_era5_moda_pl_19990601-19990630.nc ta700/ta700_era5_moda_pl_19990701-19990731.nc ta700/ta700_era5_moda_pl_19990801-19990831.nc ta700/ta700_era5_moda_pl_19990901-19990930.nc ta700/ta700_era5_moda_pl_19991001-19991031.nc ta700/ta700_era5_moda_pl_19991101-19991130.nc ta700/ta700_era5_moda_pl_19991201-19991231.nc ta700/ta700_era5_moda_pl_20000101-20000131.nc ta700/ta700_era5_moda_pl_20000201-20000229.nc ta700/ta700_era5_moda_pl_20000301-20000331.nc ta700/ta700_era5_moda_pl_20000401-20000430.nc ta700/ta700_era5_moda_pl_20000501-20000531.nc ta700/ta700_era5_moda_pl_20000601-20000630.nc ta700/ta700_era5_moda_pl_20000701-20000731.nc ta700/ta700_era5_moda_pl_20000801-20000831.nc ta700/ta700_era5_moda_pl_20000901-20000930.nc ta700/ta700_era5_moda_pl_20001001-20001031.nc ta700/ta700_era5_moda_pl_20001101-20001130.nc ta700/ta700_era5_moda_pl_20001201-20001231.nc ta700/ta700_era5_moda_pl_20010101-20010131.nc ta700/ta700_era5_moda_pl_20010201-20010228.nc ta700/ta700_era5_moda_pl_20010301-20010331.nc ta700/ta700_era5_moda_pl_20010401-20010430.nc ta700/ta700_era5_moda_pl_20010501-20010531.nc ta700/ta700_era5_moda_pl_20010601-20010630.nc ta700/ta700_era5_moda_pl_20010701-20010731.nc ta700/ta700_era5_moda_pl_20010801-20010831.nc ta700/ta700_era5_moda_pl_20010901-20010930.nc ta700/ta700_era5_moda_pl_20011001-20011031.nc ta700/ta700_era5_moda_pl_20011101-20011130.nc ta700/ta700_era5_moda_pl_20011201-20011231.nc ta700/ta700_era5_moda_pl_20020101-20020131.nc ta700/ta700_era5_moda_pl_20020201-20020228.nc ta700/ta700_era5_moda_pl_20020301-20020331.nc ta700/ta700_era5_moda_pl_20020401-20020430.nc ta700/ta700_era5_moda_pl_20020501-20020531.nc ta700/ta700_era5_moda_pl_20020601-20020630.nc ta700/ta700_era5_moda_pl_20020701-20020731.nc ta700/ta700_era5_moda_pl_20020801-20020831.nc ta700/ta700_era5_moda_pl_20020901-20020930.nc ta700/ta700_era5_moda_pl_20021001-20021031.nc ta700/ta700_era5_moda_pl_20021101-20021130.nc ta700/ta700_era5_moda_pl_20021201-20021231.nc ta700/ta700_era5_moda_pl_20030101-20030131.nc ta700/ta700_era5_moda_pl_20030201-20030228.nc ta700/ta700_era5_moda_pl_20030301-20030331.nc ta700/ta700_era5_moda_pl_20030401-20030430.nc ta700/ta700_era5_moda_pl_20030501-20030531.nc ta700/ta700_era5_moda_pl_20030601-20030630.nc ta700/ta700_era5_moda_pl_20030701-20030731.nc ta700/ta700_era5_moda_pl_20030801-20030831.nc ta700/ta700_era5_moda_pl_20030901-20030930.nc ta700/ta700_era5_moda_pl_20031001-20031031.nc ta700/ta700_era5_moda_pl_20031101-20031130.nc ta700/ta700_era5_moda_pl_20031201-20031231.nc ta700/ta700_era5_moda_pl_20040101-20040131.nc ta700/ta700_era5_moda_pl_20040201-20040229.nc ta700/ta700_era5_moda_pl_20040301-20040331.nc ta700/ta700_era5_moda_pl_20040401-20040430.nc ta700/ta700_era5_moda_pl_20040501-20040531.nc ta700/ta700_era5_moda_pl_20040601-20040630.nc ta700/ta700_era5_moda_pl_20040701-20040731.nc ta700/ta700_era5_moda_pl_20040801-20040831.nc ta700/ta700_era5_moda_pl_20040901-20040930.nc ta700/ta700_era5_moda_pl_20041001-20041031.nc ta700/ta700_era5_moda_pl_20041101-20041130.nc ta700/ta700_era5_moda_pl_20041201-20041231.nc ta700/ta700_era5_moda_pl_20050101-20050131.nc ta700/ta700_era5_moda_pl_20050201-20050228.nc ta700/ta700_era5_moda_pl_20050301-20050331.nc ta700/ta700_era5_moda_pl_20050401-20050430.nc ta700/ta700_era5_moda_pl_20050501-20050531.nc ta700/ta700_era5_moda_pl_20050601-20050630.nc ta700/ta700_era5_moda_pl_20050701-20050731.nc ta700/ta700_era5_moda_pl_20050801-20050831.nc ta700/ta700_era5_moda_pl_20050901-20050930.nc ta700/ta700_era5_moda_pl_20051001-20051031.nc ta700/ta700_era5_moda_pl_20051101-20051130.nc ta700/ta700_era5_moda_pl_20051201-20051231.nc ta700/ta700_era5_moda_pl_20060101-20060131.nc ta700/ta700_era5_moda_pl_20060201-20060228.nc ta700/ta700_era5_moda_pl_20060301-20060331.nc ta700/ta700_era5_moda_pl_20060401-20060430.nc ta700/ta700_era5_moda_pl_20060501-20060531.nc ta700/ta700_era5_moda_pl_20060601-20060630.nc ta700/ta700_era5_moda_pl_20060701-20060731.nc ta700/ta700_era5_moda_pl_20060801-20060831.nc ta700/ta700_era5_moda_pl_20060901-20060930.nc ta700/ta700_era5_moda_pl_20061001-20061031.nc ta700/ta700_era5_moda_pl_20061101-20061130.nc ta700/ta700_era5_moda_pl_20061201-20061231.nc ta700/ta700_era5_moda_pl_20070101-20070131.nc ta700/ta700_era5_moda_pl_20070201-20070228.nc ta700/ta700_era5_moda_pl_20070301-20070331.nc ta700/ta700_era5_moda_pl_20070401-20070430.nc ta700/ta700_era5_moda_pl_20070501-20070531.nc ta700/ta700_era5_moda_pl_20070601-20070630.nc ta700/ta700_era5_moda_pl_20070701-20070731.nc ta700/ta700_era5_moda_pl_20070801-20070831.nc ta700/ta700_era5_moda_pl_20070901-20070930.nc ta700/ta700_era5_moda_pl_20071001-20071031.nc ta700/ta700_era5_moda_pl_20071101-20071130.nc ta700/ta700_era5_moda_pl_20071201-20071231.nc ta700/ta700_era5_moda_pl_20080101-20080131.nc ta700/ta700_era5_moda_pl_20080201-20080229.nc ta700/ta700_era5_moda_pl_20080301-20080331.nc ta700/ta700_era5_moda_pl_20080401-20080430.nc ta700/ta700_era5_moda_pl_20080501-20080531.nc ta700/ta700_era5_moda_pl_20080601-20080630.nc ta700/ta700_era5_moda_pl_20080701-20080731.nc ta700/ta700_era5_moda_pl_20080801-20080831.nc ta700/ta700_era5_moda_pl_20080901-20080930.nc ta700/ta700_era5_moda_pl_20081001-20081031.nc ta700/ta700_era5_moda_pl_20081101-20081130.nc ta700/ta700_era5_moda_pl_20081201-20081231.nc ta700/ta700_era5_moda_pl_20090101-20090131.nc ta700/ta700_era5_moda_pl_20090201-20090228.nc ta700/ta700_era5_moda_pl_20090301-20090331.nc ta700/ta700_era5_moda_pl_20090401-20090430.nc ta700/ta700_era5_moda_pl_20090501-20090531.nc ta700/ta700_era5_moda_pl_20090601-20090630.nc ta700/ta700_era5_moda_pl_20090701-20090731.nc ta700/ta700_era5_moda_pl_20090801-20090831.nc ta700/ta700_era5_moda_pl_20090901-20090930.nc ta700/ta700_era5_moda_pl_20091001-20091031.nc ta700/ta700_era5_moda_pl_20091101-20091130.nc ta700/ta700_era5_moda_pl_20091201-20091231.nc ta700/ta700_era5_moda_pl_20100101-20100131.nc ta700/ta700_era5_moda_pl_20100201-20100228.nc ta700/ta700_era5_moda_pl_20100301-20100331.nc ta700/ta700_era5_moda_pl_20100401-20100430.nc ta700/ta700_era5_moda_pl_20100501-20100531.nc ta700/ta700_era5_moda_pl_20100601-20100630.nc ta700/ta700_era5_moda_pl_20100701-20100731.nc ta700/ta700_era5_moda_pl_20100801-20100831.nc ta700/ta700_era5_moda_pl_20100901-20100930.nc ta700/ta700_era5_moda_pl_20101001-20101031.nc ta700/ta700_era5_moda_pl_20101101-20101130.nc ta700/ta700_era5_moda_pl_20101201-20101231.nc ta700/ta700_era5_moda_pl_20110101-20110131.nc ta700/ta700_era5_moda_pl_20110201-20110228.nc ta700/ta700_era5_moda_pl_20110301-20110331.nc ta700/ta700_era5_moda_pl_20110401-20110430.nc ta700/ta700_era5_moda_pl_20110501-20110531.nc ta700/ta700_era5_moda_pl_20110601-20110630.nc ta700/ta700_era5_moda_pl_20110701-20110731.nc ta700/ta700_era5_moda_pl_20110801-20110831.nc ta700/ta700_era5_moda_pl_20110901-20110930.nc ta700/ta700_era5_moda_pl_20111001-20111031.nc ta700/ta700_era5_moda_pl_20111101-20111130.nc ta700/ta700_era5_moda_pl_20111201-20111231.nc ta700/ta700_era5_moda_pl_20120101-20120131.nc ta700/ta700_era5_moda_pl_20120201-20120229.nc ta700/ta700_era5_moda_pl_20120301-20120331.nc ta700/ta700_era5_moda_pl_20120401-20120430.nc ta700/ta700_era5_moda_pl_20120501-20120531.nc ta700/ta700_era5_moda_pl_20120601-20120630.nc ta700/ta700_era5_moda_pl_20120701-20120731.nc ta700/ta700_era5_moda_pl_20120801-20120831.nc ta700/ta700_era5_moda_pl_20120901-20120930.nc ta700/ta700_era5_moda_pl_20121001-20121031.nc ta700/ta700_era5_moda_pl_20121101-20121130.nc ta700/ta700_era5_moda_pl_20121201-20121231.nc ta700/ta700_era5_moda_pl_20130101-20130131.nc ta700/ta700_era5_moda_pl_20130201-20130228.nc ta700/ta700_era5_moda_pl_20130301-20130331.nc ta700/ta700_era5_moda_pl_20130401-20130430.nc ta700/ta700_era5_moda_pl_20130501-20130531.nc ta700/ta700_era5_moda_pl_20130601-20130630.nc ta700/ta700_era5_moda_pl_20130701-20130731.nc ta700/ta700_era5_moda_pl_20130801-20130831.nc ta700/ta700_era5_moda_pl_20130901-20130930.nc ta700/ta700_era5_moda_pl_20131001-20131031.nc ta700/ta700_era5_moda_pl_20131101-20131130.nc ta700/ta700_era5_moda_pl_20131201-20131231.nc ta700/ta700_era5_moda_pl_20140101-20140131.nc ta700/ta700_era5_moda_pl_20140201-20140228.nc ta700/ta700_era5_moda_pl_20140301-20140331.nc ta700/ta700_era5_moda_pl_20140401-20140430.nc ta700/ta700_era5_moda_pl_20140501-20140531.nc ta700/ta700_era5_moda_pl_20140601-20140630.nc ta700/ta700_era5_moda_pl_20140701-20140731.nc ta700/ta700_era5_moda_pl_20140801-20140831.nc ta700/ta700_era5_moda_pl_20140901-20140930.nc ta700/ta700_era5_moda_pl_20141001-20141031.nc ta700/ta700_era5_moda_pl_20141101-20141130.nc ta700/ta700_era5_moda_pl_20141201-20141231.nc ta700/ta700_era5_moda_pl_20150101-20150131.nc ta700/ta700_era5_moda_pl_20150201-20150228.nc ta700/ta700_era5_moda_pl_20150301-20150331.nc ta700/ta700_era5_moda_pl_20150401-20150430.nc ta700/ta700_era5_moda_pl_20150501-20150531.nc ta700/ta700_era5_moda_pl_20150601-20150630.nc ta700/ta700_era5_moda_pl_20150701-20150731.nc ta700/ta700_era5_moda_pl_20150801-20150831.nc ta700/ta700_era5_moda_pl_20150901-20150930.nc ta700/ta700_era5_moda_pl_20151001-20151031.nc ta700/ta700_era5_moda_pl_20151101-20151130.nc ta700/ta700_era5_moda_pl_20151201-20151231.nc ta700/ta700_era5_moda_pl_20160101-20160131.nc ta700/ta700_era5_moda_pl_20160201-20160229.nc ta700/ta700_era5_moda_pl_20160301-20160331.nc ta700/ta700_era5_moda_pl_20160401-20160430.nc ta700/ta700_era5_moda_pl_20160501-20160531.nc ta700/ta700_era5_moda_pl_20160601-20160630.nc ta700/ta700_era5_moda_pl_20160701-20160731.nc ta700/ta700_era5_moda_pl_20160801-20160831.nc ta700/ta700_era5_moda_pl_20160901-20160930.nc ta700/ta700_era5_moda_pl_20161001-20161031.nc ta700/ta700_era5_moda_pl_20161101-20161130.nc ta700/ta700_era5_moda_pl_20161201-20161231.nc ta700/ta700_era5_moda_pl_20170101-20170131.nc ta700/ta700_era5_moda_pl_20170201-20170228.nc ta700/ta700_era5_moda_pl_20170301-20170331.nc ta700/ta700_era5_moda_pl_20170401-20170430.nc ta700/ta700_era5_moda_pl_20170501-20170531.nc ta700/ta700_era5_moda_pl_20170601-20170630.nc ta700/ta700_era5_moda_pl_20170701-20170731.nc ta700/ta700_era5_moda_pl_20170801-20170831.nc ta700/ta700_era5_moda_pl_20170901-20170930.nc ta700/ta700_era5_moda_pl_20171001-20171031.nc ta700/ta700_era5_moda_pl_20171101-20171130.nc ta700/ta700_era5_moda_pl_20171201-20171231.nc ta700/ta700_era5_moda_pl_20180101-20180131.nc ta700/ta700_era5_moda_pl_20180201-20180228.nc ta700/ta700_era5_moda_pl_20180301-20180331.nc ta700/ta700_era5_moda_pl_20180401-20180430.nc ta700/ta700_era5_moda_pl_20180501-20180531.nc ta700/ta700_era5_moda_pl_20180601-20180630.nc ta700/ta700_era5_moda_pl_20180701-20180731.nc ta700/ta700_era5_moda_pl_20180801-20180831.nc ta700/ta700_era5_moda_pl_20180901-20180930.nc ta700/ta700_era5_moda_pl_20181001-20181031.nc ta700/ta700_era5_moda_pl_20181101-20181130.nc ta700/ta700_era5_moda_pl_20181201-20181231.nc ta700/ta700_era5_moda_pl_20190101-20190131.nc ta700/ta700_era5_moda_pl_20190201-20190228.nc ta700/ta700_era5_moda_pl_20190301-20190331.nc ta700/ta700_era5_moda_pl_20190401-20190430.nc ta700/ta700_era5_moda_pl_20190501-20190531.nc ta700/ta700_era5_moda_pl_20190601-20190630.nc ta700/ta700_era5_moda_pl_20190701-20190731.nc ta700/ta700_era5_moda_pl_20190801-20190831.nc ta700/ta700_era5_moda_pl_20190901-20190930.nc ta700/ta700_era5_moda_pl_20191001-20191031.nc ta700/ta700_era5_moda_pl_20191101-20191130.nc ta700/ta700_era5_moda_pl_20191201-20191231.nc ta700/ta700_era5_moda_pl_20200101-20200131.nc ta700/ta700_era5_moda_pl_20200201-20200229.nc ta700/ta700_era5_moda_pl_20200301-20200331.nc ta700/ta700_era5_moda_pl_20200401-20200430.nc ta700/ta700_era5_moda_pl_20200501-20200531.nc ta700/ta700_era5_moda_pl_20200601-20200630.nc ta700/ta700_era5_moda_pl_20200701-20200731.nc ta700/ta700_era5_moda_pl_20200801-20200831.nc ta700/ta700_era5_moda_pl_20200901-20200930.nc ta700/ta700_era5_moda_pl_20201001-20201031.nc ta700/ta700_era5_moda_pl_20201101-20201130.nc ta700/ta700_era5_moda_pl_20201201-20201231.nc ta700/ta700_era5_moda_pl_20210101-20210131.nc ta700/ta700_era5_moda_pl_20210201-20210228.nc ta700/ta700_era5_moda_pl_20210301-20210331.nc ta700/ta700_era5_moda_pl_20210401-20210430.nc ta700/ta700_era5_moda_pl_20210501-20210531.nc ta700/ta700_era5_moda_pl_20210601-20210630.nc ta700/ta700_era5_moda_pl_20210701-20210731.nc ta700/ta700_era5_moda_pl_20210801-20210831.nc ta700/ta700_era5_moda_pl_20210901-20210930.nc ta700/ta700_era5_moda_pl_20211001-20211031.nc ta700/ta700_era5_moda_pl_20211101-20211130.nc ta700/ta700_era5_moda_pl_20211201-20211231.nc ta700/ta700_era5_moda_pl_20220101-20220131.nc ta700/ta700_era5_moda_pl_20220201-20220228.nc ta700/ta700_era5_moda_pl_20220301-20220331.nc ta700/ta700_era5_moda_pl_20220401-20220430.nc ta700/ta700_era5_moda_pl_20220501-20220531.nc ta700/ta700_era5_moda_pl_20220601-20220630.nc ta700/ta700_era5_moda_pl_20220701-20220731.nc ta700/ta700_era5_moda_pl_20220801-20220831.nc ta700/ta700_era5_moda_pl_19590101-20220831.nc Thu Dec 15 23:48:07 2022: cdo -b F64 -vertsum -sellevel,700 -chname,t,ta700 /g/data/rt52/era5/pressure-levels/monthly-averaged/t/1959/t_era5_moda_pl_19590101-19590131.nc ./ta700/ta700_era5_moda_pl_19590101-19590131.nc 2022-07-30 02:45:13 UTC+1000 by era5_replication_tools-1.10.2: mv /g/data/rt52/admin/incoming/era5/pressure-levels/monthly-averaged/t/1959/t_era5_moda_pl_19590101-19590131.tmp /g/data/rt52/era5/pressure-levels/monthly-averaged/t/1959/t_era5_moda_pl_19590101-19590131.nc 2022-07-30 02:45:10 UTC+1000 by era5_replication_tools-1.10.2: nccopy -m1G -h1G -k4 -d5 -s -Vlongitude,latitude,level,time,t /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/t/1959/t_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)