Mean State

Download Data
Period Mean (original grids) [d]
Model Period Mean (intersection) [d]
Benchmark Period Mean (intersection) [d]
Model Period Mean (complement) [d]
Benchmark Period Mean (complement) [d]
Bias [d]
RMSE [d]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 1.16
ACCESS-CM2_BARPA [-] 1.34 1.34 1.16 0.179 0.545 1.02 0.849 0.766 0.883 0.946 0.842
ACCESS-CM2_CCAM [-] 1.35 1.35 1.16 0.194 0.613 1.13 0.824 0.759 0.860 0.906 0.822
ACCESS-CM2_CMIP6 [-] 1.40 1.40 1.17 0.225 0.683 1.00 0.797 0.715 0.873 0.905 0.801
ACCESS-ESM1-5_BARPA [-] 1.31 1.31 1.16 0.152 0.533 0.963 0.863 0.754 0.901 0.953 0.845
ACCESS-ESM1-5_CCAM [-] 1.33 1.33 1.16 0.172 0.623 1.13 0.830 0.748 0.863 0.981 0.834
ACCESS-ESM1-5_CMIP6 [-] 1.47 1.47 1.16 0.320 0.797 1.21 0.778 0.648 0.870 0.980 0.785
CESM2_BARPA [-] 1.16 1.16 1.16 0.000395 0.536 1.17 0.919 0.740 0.868 0.965 0.847
CESM2_CCAM [-] 0.924 0.926 1.16 -0.230 0.703 1.96 0.863 0.685 0.688 0.989 0.782
CESM2_CMIP6 [-] 1.45 1.45 1.15 0.295 0.709 0.833 0.799 0.690 0.912 0.989 0.816
CMCC-ESM2_BARPA [-] 1.14 1.14 1.16 -0.0199 0.621 1.65 0.914 0.701 0.766 0.942 0.805
CMCC-ESM2_CCAM [-] 1.71 1.71 1.16 0.553 0.863 1.22 0.688 0.685 0.833 0.911 0.760
CMCC-ESM2_CMIP6 [-] 1.95 1.95 1.15 0.796 1.35 0.840 0.604 0.522 0.918 0.967 0.707
CNRM-ESM2-1_CCAM [-] 1.43 1.44 1.16 0.281 0.634 0.930 0.799 0.745 0.902 0.936 0.826
CNRM-ESM2-1_CMIP6 [-] 0.902 0.902 1.16 -0.256 0.610 1.29 0.845 0.726 0.820 0.983 0.820
EC-Earth3_BARPA [-] 0.999 0.999 1.16 -0.157 0.444 1.07 0.897 0.792 0.882 0.965 0.865
EC-Earth3_CCAM [-] 1.31 1.32 1.16 0.161 0.649 0.821 0.858 0.709 0.909 0.980 0.833
EC-Earth3_CMIP6 [-] 1.17 1.17 1.15 0.0134 0.703 0.972 0.867 0.673 0.890 0.983 0.817
ERA5_BARPA [-] 1.31 1.31 1.16 0.151 0.519 1.34 0.869 0.759 0.836 0.946 0.834
ERA5_CCAM [-] 1.43 1.43 1.16 0.272 0.507 0.799 0.824 0.806 0.903 0.979 0.864
MPI-ESM1-2-HR_BARPA [-] 0.968 0.968 1.16 -0.189 0.508 1.19 0.895 0.776 0.860 0.957 0.853
MPI-ESM1-2-HR_CMIP6 [-] 0.566 0.566 1.16 -0.594 0.803 1.16 0.688 0.753 0.858 0.887 0.788
NorESM2-MM_BARPA [-] 1.37 1.37 1.16 0.214 0.678 1.79 0.834 0.692 0.745 0.954 0.783
NorESM2-MM_CCAM [-] 1.56 1.56 1.16 0.407 0.684 1.20 0.748 0.742 0.841 0.917 0.798
NorESM2-MM_CMIP6 [-] 1.75 1.75 1.15 0.596 0.820 1.12 0.663 0.711 0.857 0.962 0.781
Download Data
Period Mean (original grids) [d]
Model Period Mean (intersection) [d]
Benchmark Period Mean (intersection) [d]
Model Period Mean (complement) [d]
Benchmark Period Mean (complement) [d]
Bias [d]
RMSE [d]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 1.46
ACCESS-CM2_BARPA [-] 1.60 1.60 1.46 0.140 0.457 0.877 0.902 0.759 0.920 0.932 0.865
ACCESS-CM2_CCAM [-] 1.70 1.70 1.46 0.235 0.521 0.437 0.847 0.745 0.965 0.896 0.850
ACCESS-CM2_CMIP6 [-] 1.87 1.87 1.46 0.412 0.674 0.595 0.738 0.690 0.960 0.810 0.787
ACCESS-ESM1-5_BARPA [-] 1.63 1.63 1.46 0.170 0.523 0.753 0.878 0.735 0.936 0.844 0.836
ACCESS-ESM1-5_CCAM [-] 1.84 1.85 1.46 0.382 0.694 0.438 0.775 0.695 0.964 0.911 0.821
ACCESS-ESM1-5_CMIP6 [-] 2.07 2.07 1.50 0.570 1.10 0.944 0.655 0.523 0.928 0.613 0.662
CESM2_BARPA [-] 1.54 1.54 1.46 0.0737 0.386 0.399 0.929 0.788 0.966 0.940 0.893
CESM2_CCAM [-] 1.23 1.23 1.46 -0.235 0.563 1.52 0.864 0.723 0.817 0.867 0.807
CESM2_CMIP6 [-] 2.03 2.03 1.47 0.558 0.889 0.133 0.673 0.619 0.991 0.951 0.788
CMCC-ESM2_BARPA [-] 1.43 1.43 1.46 -0.0340 0.409 0.722 0.952 0.771 0.934 0.957 0.889
CMCC-ESM2_CCAM [-] 1.96 1.96 1.46 0.492 0.723 0.547 0.722 0.709 0.951 0.894 0.807
CMCC-ESM2_CMIP6 [-] 2.20 2.20 1.47 0.726 1.11 0.850 0.598 0.554 0.933 0.944 0.735
CNRM-ESM2-1_CCAM [-] 1.66 1.66 1.46 0.200 0.539 0.952 0.863 0.732 0.914 0.901 0.839
CNRM-ESM2-1_CMIP6 [-] 1.27 1.27 1.46 -0.191 0.583 1.49 0.821 0.695 0.814 0.789 0.770
EC-Earth3_BARPA [-] 1.13 1.13 1.46 -0.329 0.445 0.763 0.811 0.826 0.941 0.813 0.846
EC-Earth3_CCAM [-] 1.52 1.52 1.46 0.0525 0.571 0.480 0.916 0.697 0.959 0.868 0.842
EC-Earth3_CMIP6 [-] 1.12 1.12 1.47 -0.347 0.538 1.20 0.788 0.761 0.875 0.990 0.843
ERA5_BARPA [-] 1.51 1.51 1.46 0.0498 0.351 0.639 0.942 0.804 0.943 0.940 0.896
ERA5_CCAM [-] 1.79 1.79 1.46 0.330 0.449 0.695 0.801 0.829 0.936 0.875 0.857
MPI-ESM1-2-HR_BARPA [-] 0.989 0.989 1.46 -0.474 0.607 1.62 0.736 0.787 0.806 0.853 0.795
MPI-ESM1-2-HR_CMIP6 [-] 0.663 0.663 1.49 -0.826 0.909 1.31 0.563 0.771 0.850 0.920 0.776
NorESM2-MM_BARPA [-] 1.61 1.61 1.46 0.144 0.590 1.64 0.903 0.692 0.795 0.983 0.827
NorESM2-MM_CCAM [-] 1.77 1.77 1.46 0.304 0.520 1.11 0.814 0.775 0.873 0.797 0.810
NorESM2-MM_CMIP6 [-] 2.12 2.12 1.47 0.646 0.776 0.838 0.633 0.745 0.935 0.833 0.782
Download Data
Period Mean (original grids) [d]
Model Period Mean (intersection) [d]
Benchmark Period Mean (intersection) [d]
Model Period Mean (complement) [d]
Benchmark Period Mean (complement) [d]
Bias [d]
RMSE [d]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 1.89
ACCESS-CM2_BARPA [-] 1.88 1.87 1.89 -0.0166 0.511 0.961 0.917 0.788 0.896 0.917 0.876
ACCESS-CM2_CCAM [-] 1.80 1.80 1.89 -0.0932 0.585 0.838 0.873 0.777 0.915 0.794 0.828
ACCESS-CM2_CMIP6 [-] 1.88 1.88 2.00 -0.125 0.659 0.277 0.822 0.746 0.966 0.673 0.776
ACCESS-ESM1-5_BARPA [-] 1.97 1.97 1.89 0.0797 0.555 1.02 0.884 0.779 0.894 0.886 0.868
ACCESS-ESM1-5_CCAM [-] 2.09 2.09 1.89 0.201 0.649 0.857 0.839 0.764 0.922 0.827 0.837
ACCESS-ESM1-5_CMIP6 [-] 2.26 2.26 1.79 0.463 1.01 0.935 0.758 0.598 0.938 0.825 0.790
CESM2_BARPA [-] 1.90 1.89 1.89 0.00103 0.545 0.907 0.934 0.770 0.924 0.974 0.889
CESM2_CCAM [-] 1.70 1.70 1.89 -0.189 0.666 1.26 0.896 0.740 0.840 0.843 0.834
CESM2_CMIP6 [-] 2.45 2.45 1.86 0.586 0.917 0.570 0.716 0.675 0.954 0.998 0.818
CMCC-ESM2_BARPA [-] 1.76 1.74 1.89 -0.146 0.639 1.08 0.918 0.736 0.883 0.995 0.872
CMCC-ESM2_CCAM [-] 2.10 2.09 1.89 0.200 0.547 0.924 0.868 0.785 0.898 0.985 0.863
CMCC-ESM2_CMIP6 [-] 2.77 2.77 1.86 0.912 1.41 0.691 0.599 0.554 0.937 0.959 0.726
CNRM-ESM2-1_CCAM [-] 1.87 1.87 1.89 -0.0221 0.609 0.975 0.862 0.766 0.910 0.676 0.806
CNRM-ESM2-1_CMIP6 [-] 1.71 1.71 1.88 -0.174 0.665 1.07 0.864 0.728 0.916 0.988 0.858
EC-Earth3_BARPA [-] 1.57 1.56 1.89 -0.329 0.558 0.923 0.847 0.807 0.920 0.994 0.881
EC-Earth3_CCAM [-] 1.83 1.83 1.89 -0.0622 0.571 0.819 0.900 0.768 0.905 0.887 0.855
EC-Earth3_CMIP6 [-] 1.74 1.74 1.88 -0.146 0.601 0.920 0.902 0.741 0.903 0.997 0.858
ERA5_BARPA [-] 1.88 1.87 1.89 -0.0187 0.485 1.17 0.933 0.791 0.861 0.970 0.885
ERA5_CCAM [-] 2.05 2.04 1.89 0.152 0.489 1.07 0.865 0.822 0.875 0.844 0.851
MPI-ESM1-2-HR_BARPA [-] 1.29 1.28 1.89 -0.609 0.751 0.836 0.738 0.806 0.905 0.889 0.826
MPI-ESM1-2-HR_CMIP6 [-] 0.848 0.848 1.92 -1.07 1.18 1.12 0.558 0.762 0.898 0.941 0.759
NorESM2-MM_BARPA [-] 1.96 1.95 1.89 0.0564 0.658 1.08 0.928 0.720 0.899 0.987 0.869
NorESM2-MM_CCAM [-] 1.97 1.96 1.89 0.0739 0.618 0.960 0.849 0.770 0.908 0.649 0.799
NorESM2-MM_CMIP6 [-] 2.41 2.41 1.86 0.550 0.787 1.04 0.729 0.735 0.919 0.972 0.834
Download Data
Period Mean (original grids) [d]
Model Period Mean (intersection) [d]
Benchmark Period Mean (intersection) [d]
Model Period Mean (complement) [d]
Benchmark Period Mean (complement) [d]
Bias [d]
RMSE [d]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 1.62
ACCESS-CM2_BARPA [-] 1.67 1.67 1.62 0.0522 0.738 0.583 0.916 0.791 0.962 0.904 0.866
ACCESS-CM2_CCAM [-] 1.76 1.76 1.62 0.147 0.848 0.554 0.880 0.775 0.959 0.914 0.835
ACCESS-CM2_CMIP6 [-] 1.82 1.82 1.62 0.199 1.08 0.371 0.871 0.699 0.972 0.842 0.785
ACCESS-ESM1-5_BARPA [-] 1.73 1.73 1.62 0.110 0.626 0.599 0.907 0.816 0.961 0.808 0.867
ACCESS-ESM1-5_CCAM [-] 1.94 1.95 1.62 0.334 0.928 0.548 0.859 0.754 0.961 0.855 0.848
ACCESS-ESM1-5_CMIP6 [-] 2.01 2.01 1.60 0.416 1.04 0.650 0.841 0.707 0.958 0.993 0.851
CESM2_BARPA [-] 1.36 1.35 1.62 -0.265 0.736 0.706 0.912 0.792 0.944 0.748 0.835
CESM2_CCAM [-] 1.24 1.25 1.62 -0.363 1.03 0.500 0.879 0.708 0.965 0.964 0.869
CESM2_CMIP6 [-] 1.90 1.90 1.60 0.296 1.03 0.528 0.874 0.688 0.965 0.926 0.846
CMCC-ESM2_BARPA [-] 1.36 1.35 1.62 -0.268 0.892 0.623 0.893 0.749 0.959 0.876 0.836
CMCC-ESM2_CCAM [-] 2.10 2.12 1.62 0.498 0.957 0.439 0.820 0.749 0.971 0.985 0.851
CMCC-ESM2_CMIP6 [-] 2.70 2.70 1.60 1.09 1.89 0.498 0.650 0.548 0.968 0.978 0.753
CNRM-ESM2-1_CCAM [-] 2.01 2.02 1.62 0.407 0.823 0.504 0.842 0.783 0.966 0.982 0.867
CNRM-ESM2-1_CMIP6 [-] 1.06 1.06 1.60 -0.537 1.05 0.400 0.810 0.719 0.972 0.984 0.853
EC-Earth3_BARPA [-] 1.47 1.47 1.62 -0.153 0.562 0.512 0.926 0.836 0.967 0.912 0.893
EC-Earth3_CCAM [-] 1.97 1.99 1.62 0.367 0.964 0.445 0.861 0.731 0.969 0.988 0.869
EC-Earth3_CMIP6 [-] 1.95 1.95 1.61 0.336 1.15 0.716 0.876 0.664 0.942 0.994 0.854
ERA5_BARPA [-] 1.67 1.67 1.62 0.0480 0.710 0.716 0.928 0.783 0.942 0.860 0.863
ERA5_CCAM [-] 2.06 2.08 1.62 0.457 0.732 0.468 0.834 0.815 0.966 0.979 0.885
MPI-ESM1-2-HR_BARPA [-] 1.28 1.27 1.62 -0.343 0.715 0.580 0.880 0.809 0.962 0.915 0.866
MPI-ESM1-2-HR_CMIP6 [-] 0.832 0.832 1.60 -0.771 1.21 0.586 0.748 0.720 0.962 0.939 0.820
NorESM2-MM_BARPA [-] 1.65 1.65 1.62 0.0284 0.878 0.564 0.926 0.737 0.956 0.874 0.852
NorESM2-MM_CCAM [-] 2.04 2.05 1.62 0.431 0.798 0.493 0.835 0.794 0.968 0.857 0.860
NorESM2-MM_CMIP6 [-] 2.27 2.27 1.60 0.665 1.01 0.579 0.764 0.746 0.963 0.964 0.844
Download Data
Period Mean (original grids) [d]
Model Period Mean (intersection) [d]
Benchmark Period Mean (intersection) [d]
Model Period Mean (complement) [d]
Benchmark Period Mean (complement) [d]
Bias [d]
RMSE [d]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 1.54
ACCESS-CM2_BARPA [-] 1.64 1.63 1.54 0.0887 0.490 2.58 0.925 0.733 0.585 0.999 0.802
ACCESS-CM2_CCAM [-] 1.54 1.54 1.54 -0.00605 0.484 2.49 0.929 0.732 0.607 0.963 0.799
ACCESS-CM2_CMIP6 [-] 1.78 1.78 1.57 0.215 0.610 2.94 0.808 0.673 0.517 0.956 0.731
ACCESS-ESM1-5_BARPA [-] 1.48 1.47 1.54 -0.0680 0.482 1.95 0.948 0.732 0.719 0.989 0.834
ACCESS-ESM1-5_CCAM [-] 1.39 1.39 1.54 -0.156 0.548 2.19 0.892 0.712 0.674 0.968 0.801
ACCESS-ESM1-5_CMIP6 [-] 1.73 1.73 1.61 0.123 0.842 1.75 0.816 0.573 0.785 0.810 0.727
CESM2_BARPA [-] 1.59 1.58 1.54 0.0364 0.444 1.09 0.957 0.749 0.855 0.998 0.874
CESM2_CCAM [-] 1.19 1.18 1.54 -0.364 0.676 3.02 0.777 0.696 0.493 0.992 0.735
CESM2_CMIP6 [-] 1.89 1.89 1.58 0.303 0.675 1.29 0.789 0.651 0.808 0.954 0.784
CMCC-ESM2_BARPA [-] 1.49 1.49 1.54 -0.0540 0.465 1.68 0.957 0.733 0.771 0.995 0.850
CMCC-ESM2_CCAM [-] 1.84 1.84 1.54 0.295 0.542 1.71 0.802 0.751 0.774 0.966 0.815
CMCC-ESM2_CMIP6 [-] 1.87 1.87 1.58 0.286 0.633 1.34 0.792 0.680 0.851 0.952 0.804
CNRM-ESM2-1_CCAM [-] 1.45 1.45 1.54 -0.0930 0.468 1.36 0.917 0.748 0.818 0.904 0.836
CNRM-ESM2-1_CMIP6 [-] 1.42 1.42 1.58 -0.156 0.588 3.32 0.853 0.676 0.449 0.965 0.729
EC-Earth3_BARPA [-] 1.23 1.22 1.54 -0.318 0.520 1.56 0.812 0.761 0.795 0.944 0.821
EC-Earth3_CCAM [-] 1.37 1.37 1.54 -0.173 0.596 1.82 0.898 0.683 0.753 0.919 0.799
EC-Earth3_CMIP6 [-] 1.22 1.22 1.57 -0.354 0.649 2.11 0.777 0.679 0.706 0.991 0.776
ERA5_BARPA [-] 1.60 1.59 1.54 0.0532 0.331 1.18 0.933 0.811 0.841 0.980 0.882
ERA5_CCAM [-] 1.59 1.58 1.54 0.0424 0.316 1.16 0.913 0.833 0.843 0.940 0.877
MPI-ESM1-2-HR_BARPA [-] 1.36 1.35 1.54 -0.190 0.547 3.40 0.874 0.734 0.445 0.996 0.759
MPI-ESM1-2-HR_CMIP6 [-] 0.914 0.914 1.54 -0.626 0.774 4.28 0.629 0.728 0.274 0.984 0.662
NorESM2-MM_BARPA [-] 1.74 1.73 1.54 0.193 0.533 2.30 0.872 0.719 0.648 0.998 0.799
NorESM2-MM_CCAM [-] 1.70 1.70 1.54 0.154 0.464 2.53 0.871 0.753 0.598 0.953 0.789
NorESM2-MM_CMIP6 [-] 2.01 2.01 1.58 0.429 0.556 1.61 0.721 0.792 0.789 0.874 0.794
Download Data
Period Mean (original grids) [d]
Model Period Mean (intersection) [d]
Benchmark Period Mean (intersection) [d]
Model Period Mean (complement) [d]
Benchmark Period Mean (complement) [d]
Bias [d]
RMSE [d]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 0.762
ACCESS-CM2_BARPA [-] 1.05 1.05 0.762 0.284 0.464 0.985 0.806 0.768 0.893 0.995 0.847
ACCESS-CM2_CCAM [-] 1.10 1.10 0.762 0.338 0.525 1.23 0.782 0.762 0.847 0.779 0.810
ACCESS-CM2_CMIP6 [-] 1.10 1.10 0.768 0.336 0.534 0.974 0.764 0.736 0.884 0.915 0.817
ACCESS-ESM1-5_BARPA [-] 1.01 1.01 0.762 0.252 0.485 0.929 0.831 0.739 0.913 0.916 0.848
ACCESS-ESM1-5_CCAM [-] 0.990 0.990 0.762 0.228 0.499 1.31 0.818 0.754 0.837 0.581 0.788
ACCESS-ESM1-5_CMIP6 [-] 1.13 1.13 0.764 0.364 0.643 1.18 0.750 0.659 0.882 0.812 0.783
CESM2_BARPA [-] 0.853 0.853 0.762 0.0909 0.448 1.40 0.920 0.724 0.838 0.992 0.857
CESM2_CCAM [-] 0.566 0.566 0.762 -0.196 0.559 2.49 0.864 0.681 0.579 0.978 0.755
CESM2_CMIP6 [-] 1.08 1.08 0.765 0.312 0.575 0.892 0.775 0.701 0.908 0.766 0.799
CMCC-ESM2_BARPA [-] 0.864 0.864 0.762 0.102 0.548 2.15 0.914 0.669 0.674 0.984 0.796
CMCC-ESM2_CCAM [-] 1.47 1.47 0.762 0.708 0.938 1.45 0.590 0.639 0.788 0.808 0.718
CMCC-ESM2_CMIP6 [-] 1.62 1.62 0.765 0.856 1.37 0.879 0.530 0.465 0.914 0.449 0.621
CNRM-ESM2-1_CCAM [-] 1.16 1.16 0.762 0.396 0.589 0.954 0.753 0.732 0.900 0.787 0.808
CNRM-ESM2-1_CMIP6 [-] 0.557 0.557 0.762 -0.205 0.429 1.31 0.859 0.747 0.808 0.777 0.791
EC-Earth3_BARPA [-] 0.669 0.670 0.762 -0.0924 0.356 1.20 0.912 0.783 0.860 0.990 0.871
EC-Earth3_CCAM [-] 0.972 0.973 0.762 0.211 0.555 0.792 0.840 0.701 0.914 0.716 0.814
EC-Earth3_CMIP6 [-] 0.777 0.777 0.763 0.0138 0.574 0.806 0.876 0.664 0.915 0.772 0.810
ERA5_BARPA [-] 1.00 1.00 0.762 0.242 0.489 1.63 0.832 0.733 0.795 0.996 0.830
ERA5_CCAM [-] 1.08 1.08 0.762 0.321 0.473 0.836 0.794 0.794 0.894 0.677 0.826
MPI-ESM1-2-HR_BARPA [-] 0.682 0.682 0.762 -0.0805 0.368 1.14 0.927 0.775 0.877 0.961 0.867
MPI-ESM1-2-HR_CMIP6 [-] 0.326 0.326 0.765 -0.438 0.571 0.987 0.701 0.770 0.891 0.920 0.804
NorESM2-MM_BARPA [-] 1.07 1.07 0.762 0.311 0.639 2.29 0.788 0.665 0.653 0.995 0.766
NorESM2-MM_CCAM [-] 1.30 1.30 0.762 0.536 0.697 1.34 0.669 0.720 0.814 0.936 0.781
NorESM2-MM_CMIP6 [-] 1.43 1.43 0.765 0.669 0.833 1.32 0.586 0.683 0.814 0.898 0.748
Download Data
Period Mean (original grids) [d]
Model Period Mean (intersection) [d]
Benchmark Period Mean (intersection) [d]
Model Period Mean (complement) [d]
Benchmark Period Mean (complement) [d]
Bias [d]
RMSE [d]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 2.85
ACCESS-CM2_BARPA [-] 2.86 2.87 2.85 0.0131 0.859 1.29 0.881 0.689 0.837 0.890 0.820
ACCESS-CM2_CCAM [-] 2.46 2.47 2.85 -0.383 0.947 1.40 0.823 0.681 0.820 0.980 0.811
ACCESS-CM2_CMIP6 [-] 2.62 2.62 2.89 -0.269 0.950 1.92 0.860 0.610 0.726 0.999 0.754
ACCESS-ESM1-5_BARPA [-] 2.64 2.65 2.85 -0.208 0.958 1.30 0.836 0.682 0.839 0.853 0.807
ACCESS-ESM1-5_CCAM [-] 2.49 2.50 2.85 -0.350 1.03 1.27 0.803 0.666 0.848 0.888 0.804
ACCESS-ESM1-5_CMIP6 [-] 2.33 2.33 2.66 -0.328 0.918 1.29 0.835 0.611 0.839 0.942 0.799
CESM2_BARPA [-] 2.93 2.93 2.85 0.0789 0.942 1.10 0.873 0.677 0.870 0.883 0.811
CESM2_CCAM [-] 2.66 2.69 2.85 -0.168 1.33 1.77 0.794 0.593 0.744 0.781 0.757
CESM2_CMIP6 [-] 2.88 2.88 2.75 0.136 0.846 1.27 0.896 0.662 0.864 0.998 0.777
CMCC-ESM2_BARPA [-] 2.80 2.80 2.85 -0.0554 0.756 0.820 0.900 0.726 0.919 0.924 0.859
CMCC-ESM2_CCAM [-] 2.80 2.81 2.85 -0.0481 0.649 0.899 0.908 0.760 0.903 0.998 0.864
CMCC-ESM2_CMIP6 [-] 2.80 2.80 2.75 0.0575 0.757 0.761 0.822 0.726 0.935 0.989 0.818
CNRM-ESM2-1_CCAM [-] 2.42 2.44 2.85 -0.420 0.844 1.37 0.803 0.720 0.844 0.946 0.823
CNRM-ESM2-1_CMIP6 [-] 3.15 3.15 2.99 0.158 0.956 1.38 0.780 0.636 0.840 0.811 0.721
EC-Earth3_BARPA [-] 2.48 2.48 2.85 -0.377 0.744 1.16 0.817 0.757 0.864 0.944 0.852
EC-Earth3_CCAM [-] 2.47 2.48 2.85 -0.374 0.794 1.50 0.826 0.728 0.794 0.985 0.824
EC-Earth3_CMIP6 [-] 2.57 2.57 2.82 -0.249 0.799 1.22 0.820 0.699 0.848 0.899 0.798
ERA5_BARPA [-] 2.81 2.81 2.85 -0.0478 0.518 0.865 0.913 0.802 0.895 0.963 0.885
ERA5_CCAM [-] 2.52 2.53 2.85 -0.325 0.566 0.660 0.852 0.816 0.924 0.989 0.878
MPI-ESM1-2-HR_BARPA [-] 2.70 2.71 2.85 -0.145 1.02 1.85 0.828 0.673 0.740 0.786 0.770
MPI-ESM1-2-HR_CMIP6 [-] 2.31 2.31 2.96 -0.648 1.15 2.55 0.680 0.656 0.587 0.931 0.675
NorESM2-MM_BARPA [-] 3.02 3.02 2.85 0.164 0.741 0.874 0.885 0.727 0.913 0.949 0.855
NorESM2-MM_CCAM [-] 2.66 2.68 2.85 -0.175 0.833 1.05 0.869 0.709 0.884 0.965 0.848
NorESM2-MM_CMIP6 [-] 2.89 2.89 2.75 0.139 0.545 0.691 0.905 0.772 0.933 0.979 0.848
Download Data
Period Mean (original grids) [d]
Model Period Mean (intersection) [d]
Benchmark Period Mean (intersection) [d]
Model Period Mean (complement) [d]
Benchmark Period Mean (complement) [d]
Bias [d]
RMSE [d]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 1.29
ACCESS-CM2_BARPA [-] 1.42 1.43 1.29 0.135 0.466 1.30 0.892 0.737 0.814 0.993 0.846
ACCESS-CM2_CCAM [-] 1.20 1.20 1.29 -0.0978 0.408 1.23 0.927 0.764 0.825 0.973 0.853
ACCESS-CM2_CMIP6 [-] 1.30 1.30 1.32 -0.0150 0.574 1.86 0.896 0.643 0.728 0.888 0.780
ACCESS-ESM1-5_BARPA [-] 1.20 1.21 1.29 -0.0880 0.428 1.49 0.934 0.750 0.772 0.942 0.845
ACCESS-ESM1-5_CCAM [-] 1.00 0.998 1.29 -0.297 0.497 0.957 0.811 0.769 0.874 0.987 0.844
ACCESS-ESM1-5_CMIP6 [-] 1.11 1.11 1.32 -0.205 0.743 3.76 0.859 0.571 0.371 0.934 0.682
CESM2_BARPA [-] 1.38 1.39 1.29 0.0923 0.514 1.30 0.923 0.708 0.803 0.986 0.842
CESM2_CCAM [-] 1.27 1.27 1.29 -0.0289 0.782 1.23 0.876 0.606 0.827 0.828 0.780
CESM2_CMIP6 [-] 1.23 1.23 1.32 -0.0916 0.575 1.31 0.899 0.669 0.806 0.992 0.796
CMCC-ESM2_BARPA [-] 1.29 1.30 1.29 0.00298 0.432 1.58 0.957 0.738 0.758 0.998 0.841
CMCC-ESM2_CCAM [-] 1.56 1.55 1.29 0.259 0.536 1.86 0.819 0.723 0.716 0.979 0.787
CMCC-ESM2_CMIP6 [-] 1.44 1.44 1.32 0.118 0.543 1.40 0.879 0.675 0.799 0.797 0.788
CNRM-ESM2-1_CCAM [-] 1.33 1.33 1.29 0.0359 0.418 1.48 0.902 0.759 0.804 0.895 0.834
CNRM-ESM2-1_CMIP6 [-] 1.21 1.21 1.29 -0.0798 0.562 1.50 0.849 0.679 0.805 0.986 0.810
EC-Earth3_BARPA [-] 1.19 1.20 1.29 -0.0958 0.432 1.25 0.896 0.758 0.842 0.994 0.856
EC-Earth3_CCAM [-] 1.27 1.27 1.29 -0.0212 0.525 1.18 0.904 0.703 0.841 0.994 0.838
EC-Earth3_CMIP6 [-] 1.17 1.17 1.30 -0.137 0.600 2.01 0.866 0.653 0.692 0.992 0.781
ERA5_BARPA [-] 1.46 1.47 1.29 0.172 0.357 1.61 0.872 0.808 0.753 0.977 0.846
ERA5_CCAM [-] 1.23 1.23 1.29 -0.0634 0.292 1.14 0.945 0.825 0.840 0.968 0.884
MPI-ESM1-2-HR_BARPA [-] 1.24 1.25 1.29 -0.0430 0.444 1.24 0.938 0.741 0.826 0.997 0.861
MPI-ESM1-2-HR_CMIP6 [-] 0.666 0.666 1.28 -0.611 0.713 1.07 0.629 0.769 0.844 0.791 0.727
NorESM2-MM_BARPA [-] 1.55 1.56 1.29 0.261 0.524 1.27 0.824 0.729 0.837 0.998 0.825
NorESM2-MM_CCAM [-] 1.30 1.30 1.29 0.00427 0.463 1.17 0.916 0.736 0.854 0.956 0.840
NorESM2-MM_CMIP6 [-] 1.42 1.42 1.32 0.102 0.517 0.897 0.885 0.698 0.890 0.980 0.824
Download Data
Period Mean (original grids) [d]
Model Period Mean (intersection) [d]
Benchmark Period Mean (intersection) [d]
Model Period Mean (complement) [d]
Benchmark Period Mean (complement) [d]
Bias [d]
RMSE [d]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 2.72
ACCESS-CM2_BARPA [-] 2.13 2.11 2.72 -0.613 1.47 0.356 0.866 0.725 0.977 0.956 0.864
ACCESS-CM2_CCAM [-] 1.78 1.78 2.72 -0.935 2.00 0.512 0.799 0.653 0.965 0.798 0.787
ACCESS-CM2_CMIP6 [-] 1.77 1.77 2.71 -0.941 1.96 0.395 0.787 0.644 0.975 0.465 0.709
ACCESS-ESM1-5_BARPA [-] 2.33 2.30 2.72 -0.415 1.02 0.455 0.909 0.810 0.971 0.935 0.895
ACCESS-ESM1-5_CCAM [-] 2.33 2.34 2.72 -0.380 1.49 0.373 0.909 0.715 0.976 0.872 0.851
ACCESS-ESM1-5_CMIP6 [-] 2.74 2.74 2.83 -0.0904 1.70 0.00 0.966 0.662 1.00 0.875 0.852
CESM2_BARPA [-] 1.83 1.80 2.72 -0.920 1.46 0.375 0.804 0.765 0.975 0.820 0.832
CESM2_CCAM [-] 2.27 2.28 2.72 -0.440 1.49 0.822 0.902 0.713 0.934 0.807 0.825
CESM2_CMIP6 [-] 2.41 2.41 2.62 -0.208 1.42 0.442 0.930 0.703 0.972 0.563 0.782
CMCC-ESM2_BARPA [-] 1.76 1.73 2.72 -0.989 1.55 0.376 0.789 0.751 0.976 0.857 0.833
CMCC-ESM2_CCAM [-] 2.45 2.46 2.72 -0.258 0.983 0.246 0.926 0.809 0.984 0.792 0.870
CMCC-ESM2_CMIP6 [-] 3.01 3.01 2.62 0.395 1.13 0.00 0.880 0.753 1.00 0.720 0.829
CNRM-ESM2-1_CCAM [-] 2.01 2.01 2.72 -0.707 1.45 0.302 0.849 0.745 0.980 0.845 0.842
CNRM-ESM2-1_CMIP6 [-] 1.57 1.57 2.64 -1.06 1.88 0.00 0.765 0.675 1.00 0.670 0.766
EC-Earth3_BARPA [-] 1.98 1.96 2.72 -0.756 1.17 0.780 0.842 0.812 0.949 0.624 0.807
EC-Earth3_CCAM [-] 2.48 2.49 2.72 -0.231 1.31 0.826 0.916 0.746 0.941 0.678 0.812
EC-Earth3_CMIP6 [-] 2.78 2.78 2.71 0.0695 1.41 0.623 0.918 0.701 0.960 0.688 0.804
ERA5_BARPA [-] 2.25 2.22 2.72 -0.502 1.14 0.293 0.895 0.788 0.981 0.862 0.871
ERA5_CCAM [-] 2.44 2.45 2.72 -0.274 0.782 0.278 0.924 0.858 0.982 0.808 0.889
MPI-ESM1-2-HR_BARPA [-] 1.79 1.78 2.72 -0.944 1.53 0.198 0.794 0.745 0.986 0.945 0.854
MPI-ESM1-2-HR_CMIP6 [-] 0.962 0.962 2.76 -1.80 2.72 0.130 0.650 0.612 0.992 0.826 0.753
NorESM2-MM_BARPA [-] 2.24 2.23 2.72 -0.494 1.05 0.545 0.896 0.807 0.964 0.757 0.851
NorESM2-MM_CCAM [-] 2.77 2.78 2.72 0.0561 0.884 0.448 0.928 0.829 0.970 0.818 0.880
NorESM2-MM_CMIP6 [-] 2.84 2.84 2.62 0.219 0.893 0.105 0.883 0.828 0.993 0.445 0.792
Download Data
Period Mean (original grids) [d]
Model Period Mean (intersection) [d]
Benchmark Period Mean (intersection) [d]
Model Period Mean (complement) [d]
Benchmark Period Mean (complement) [d]
Bias [d]
RMSE [d]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 3.96
ACCESS-CM2_BARPA [-] 3.24 3.24 3.94 5.16 -0.705 1.46 1.49 0.801 0.710 0.793 0.894 0.782
ACCESS-CM2_CCAM [-] 3.24 3.24 3.92 4.93 -0.679 1.57 1.54 0.773 0.697 0.781 0.936 0.777
ACCESS-CM2_CMIP6 [-] 3.45 3.44 3.93 3.71 -0.493 1.45 1.49 0.824 0.666 0.792 0.927 0.775
ACCESS-ESM1-5_BARPA [-] 2.88 2.88 3.94 5.16 -1.06 1.72 1.60 0.738 0.706 0.767 0.837 0.751
ACCESS-ESM1-5_CCAM [-] 3.26 3.26 3.92 4.93 -0.664 1.57 1.69 0.763 0.699 0.751 0.938 0.770
ACCESS-ESM1-5_CMIP6 [-] 3.97 3.95 3.91 4.56 0.0377 1.71 1.71 0.836 0.602 0.747 0.967 0.750
CESM2_BARPA [-] 3.30 3.29 3.94 5.16 -0.653 1.43 1.43 0.820 0.707 0.804 0.944 0.796
CESM2_CCAM [-] 3.33 3.32 3.92 4.93 -0.596 1.63 1.74 0.780 0.688 0.743 0.874 0.755
CESM2_CMIP6 [-] 3.84 3.80 3.93 5.07 -0.124 1.29 1.45 0.864 0.678 0.800 0.981 0.800
CMCC-ESM2_BARPA [-] 3.16 3.15 3.94 5.16 -0.791 1.46 1.52 0.801 0.713 0.787 0.914 0.786
CMCC-ESM2_CCAM [-] 3.38 3.37 3.92 4.93 -0.547 1.49 1.70 0.770 0.708 0.752 0.887 0.765
CMCC-ESM2_CMIP6 [-] 4.10 4.06 3.93 5.51 0.135 1.41 1.56 0.815 0.656 0.776 0.957 0.772
CNRM-ESM2-1_CCAM [-] 3.30 3.29 3.92 4.93 -0.628 1.64 1.93 0.777 0.676 0.712 0.936 0.755
CNRM-ESM2-1_CMIP6 [-] 3.14 3.11 3.93 4.25 -0.820 1.48 1.71 0.771 0.692 0.750 0.936 0.768
EC-Earth3_BARPA [-] 3.03 3.03 3.94 5.16 -0.914 1.42 1.20 0.781 0.736 0.837 0.904 0.799
EC-Earth3_CCAM [-] 3.42 3.42 3.92 4.93 -0.503 1.40 1.52 0.821 0.701 0.782 0.960 0.793
EC-Earth3_CMIP6 [-] 3.91 3.88 3.92 5.31 -0.0327 1.29 1.35 0.913 0.667 0.818 0.992 0.811
ERA5_BARPA [-] 3.09 3.08 3.94 5.16 -0.858 1.23 1.07 0.784 0.793 0.857 0.867 0.819
ERA5_CCAM [-] 3.30 3.30 3.92 4.93 -0.622 1.19 1.21 0.783 0.781 0.828 0.952 0.825
MPI-ESM1-2-HR_BARPA [-] 3.06 3.06 3.94 5.16 -0.888 1.50 1.49 0.772 0.721 0.791 0.929 0.787
MPI-ESM1-2-HR_CMIP6 [-] 3.23 3.20 3.93 4.51 -0.727 1.56 1.63 0.763 0.687 0.759 0.977 0.775
NorESM2-MM_BARPA [-] 3.52 3.51 3.94 5.16 -0.433 1.39 1.47 0.841 0.696 0.799 0.936 0.793
NorESM2-MM_CCAM [-] 3.11 3.11 3.92 4.93 -0.810 1.54 1.50 0.746 0.723 0.787 0.885 0.773
NorESM2-MM_CMIP6 [-] 3.81 3.78 3.93 4.58 -0.141 1.19 1.42 0.843 0.715 0.801 0.962 0.807
Download Data
Period Mean (original grids) [d]
Model Period Mean (intersection) [d]
Benchmark Period Mean (intersection) [d]
Model Period Mean (complement) [d]
Benchmark Period Mean (complement) [d]
Bias [d]
RMSE [d]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 5.36
ACCESS-CM2_BARPA [-] 3.99 4.00 5.36 5.83 -1.35 2.44 2.15 0.734 0.644 0.673 0.954 0.730
ACCESS-CM2_CCAM [-] 4.40 4.40 5.36 5.83 -0.954 2.53 2.11 0.769 0.612 0.680 0.977 0.730
ACCESS-CM2_CMIP6 [-] 4.40 4.40 5.35 -0.948 2.34 2.00 0.793 0.597 0.705 0.988 0.736
ACCESS-ESM1-5_BARPA [-] 3.30 3.32 5.36 5.83 -2.04 2.96 2.14 0.632 0.632 0.667 0.962 0.705
ACCESS-ESM1-5_CCAM [-] 4.30 4.31 5.36 5.83 -1.05 2.51 2.31 0.760 0.618 0.641 0.987 0.725
ACCESS-ESM1-5_CMIP6 [-] 5.21 5.22 5.40 4.94 -0.176 2.79 2.21 0.904 0.506 0.652 0.993 0.712
CESM2_BARPA [-] 4.07 4.08 5.36 5.83 -1.28 2.46 1.77 0.751 0.635 0.739 0.983 0.749
CESM2_CCAM [-] 3.76 3.76 5.36 5.83 -1.60 2.90 2.03 0.678 0.634 0.697 0.957 0.720
CESM2_CMIP6 [-] 4.98 4.96 5.33 5.49 -0.375 2.03 1.79 0.897 0.618 0.735 0.998 0.773
CMCC-ESM2_BARPA [-] 3.87 3.88 5.36 5.83 -1.48 2.45 1.69 0.724 0.660 0.749 0.980 0.755
CMCC-ESM2_CCAM [-] 4.49 4.50 5.36 5.83 -0.862 2.29 1.86 0.764 0.666 0.717 0.931 0.749
CMCC-ESM2_CMIP6 [-] 5.45 5.42 5.33 6.17 0.0896 1.82 1.72 0.872 0.664 0.737 0.932 0.774
CNRM-ESM2-1_CCAM [-] 4.36 4.37 5.36 5.83 -0.987 2.77 2.42 0.767 0.576 0.621 0.985 0.705
CNRM-ESM2-1_CMIP6 [-] 3.98 3.96 5.29 4.28 -1.33 2.38 1.87 0.724 0.624 0.720 0.980 0.734
EC-Earth3_BARPA [-] 3.69 3.70 5.36 5.83 -1.66 2.44 1.39 0.687 0.678 0.798 0.988 0.766
EC-Earth3_CCAM [-] 4.52 4.52 5.36 5.83 -0.833 2.37 2.09 0.787 0.625 0.669 0.986 0.739
EC-Earth3_CMIP6 [-] 5.23 5.22 5.37 5.63 -0.151 1.98 1.60 0.915 0.624 0.768 0.998 0.786
ERA5_BARPA [-] 3.68 3.69 5.36 5.83 -1.67 2.25 1.43 0.685 0.717 0.792 0.974 0.777
ERA5_CCAM [-] 4.37 4.38 5.36 5.83 -0.980 2.01 1.55 0.768 0.706 0.771 0.975 0.785
MPI-ESM1-2-HR_BARPA [-] 3.72 3.74 5.36 5.83 -1.62 2.66 1.90 0.693 0.635 0.716 0.987 0.733
MPI-ESM1-2-HR_CMIP6 [-] 4.51 4.50 5.34 4.79 -0.840 2.51 2.22 0.812 0.582 0.644 0.972 0.718
NorESM2-MM_BARPA [-] 4.49 4.50 5.36 5.83 -0.855 2.31 1.69 0.808 0.632 0.750 0.987 0.762
NorESM2-MM_CCAM [-] 4.09 4.10 5.36 5.83 -1.26 2.53 1.94 0.735 0.642 0.698 0.952 0.734
NorESM2-MM_CMIP6 [-] 5.10 5.10 5.33 5.07 -0.232 1.89 1.87 0.871 0.651 0.711 0.958 0.768
Download Data
Period Mean (original grids) [d]
Model Period Mean (intersection) [d]
Benchmark Period Mean (intersection) [d]
Model Period Mean (complement) [d]
Benchmark Period Mean (complement) [d]
Bias [d]
RMSE [d]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 1.46
ACCESS-CM2_BARPA [-] 1.60 1.60 1.46 0.140 0.457 0.877 0.902 0.759 0.920 0.932 0.854
ACCESS-CM2_CCAM [-] 1.70 1.70 1.46 0.235 0.521 0.437 0.847 0.745 0.965 0.896 0.840
ACCESS-CM2_CMIP6 [-] 1.87 1.87 1.46 0.412 0.674 0.595 0.738 0.690 0.960 0.810 0.778
ACCESS-ESM1-5_BARPA [-] 1.63 1.63 1.46 0.170 0.523 0.753 0.878 0.735 0.936 0.844 0.825
ACCESS-ESM1-5_CCAM [-] 1.84 1.85 1.46 0.382 0.694 0.438 0.775 0.695 0.964 0.911 0.808
ACCESS-ESM1-5_CMIP6 [-] 2.07 2.07 1.50 0.570 1.10 0.944 0.655 0.523 0.928 0.613 0.648
CESM2_BARPA [-] 1.54 1.54 1.46 0.0737 0.386 0.399 0.929 0.788 0.966 0.940 0.882
CESM2_CCAM [-] 1.23 1.23 1.46 -0.235 0.563 1.52 0.864 0.723 0.817 0.867 0.799
CESM2_CMIP6 [-] 2.03 2.03 1.47 0.558 0.889 0.133 0.673 0.619 0.991 0.951 0.771
CMCC-ESM2_BARPA [-] 1.43 1.43 1.46 -0.0340 0.409 0.722 0.952 0.771 0.934 0.957 0.877
CMCC-ESM2_CCAM [-] 1.96 1.96 1.46 0.492 0.723 0.547 0.722 0.709 0.951 0.894 0.797
CMCC-ESM2_CMIP6 [-] 2.20 2.20 1.47 0.726 1.11 0.850 0.598 0.554 0.933 0.944 0.717
CNRM-ESM2-1_CCAM [-] 1.66 1.66 1.46 0.200 0.539 0.952 0.863 0.732 0.914 0.901 0.828
CNRM-ESM2-1_CMIP6 [-] 1.27 1.27 1.46 -0.191 0.583 1.49 0.821 0.695 0.814 0.789 0.763
EC-Earth3_BARPA [-] 1.13 1.13 1.46 -0.329 0.445 0.763 0.811 0.826 0.941 0.813 0.844
EC-Earth3_CCAM [-] 1.52 1.52 1.46 0.0525 0.571 0.480 0.916 0.697 0.959 0.868 0.827
EC-Earth3_CMIP6 [-] 1.12 1.12 1.47 -0.347 0.538 1.20 0.788 0.761 0.875 0.990 0.835
ERA5_BARPA [-] 1.51 1.51 1.46 0.0498 0.351 0.639 0.942 0.804 0.943 0.940 0.887
ERA5_CCAM [-] 1.79 1.79 1.46 0.330 0.449 0.695 0.801 0.829 0.936 0.875 0.854
MPI-ESM1-2-HR_BARPA [-] 0.989 0.989 1.46 -0.474 0.607 1.62 0.736 0.787 0.806 0.853 0.794
MPI-ESM1-2-HR_CMIP6 [-] 0.663 0.663 1.49 -0.826 0.909 1.31 0.563 0.771 0.850 0.920 0.775
NorESM2-MM_BARPA [-] 1.61 1.61 1.46 0.144 0.590 1.64 0.903 0.692 0.795 0.983 0.813
NorESM2-MM_CCAM [-] 1.77 1.77 1.46 0.304 0.520 1.11 0.814 0.775 0.873 0.797 0.807
NorESM2-MM_CMIP6 [-] 2.12 2.12 1.47 0.646 0.776 0.838 0.633 0.745 0.935 0.833 0.778
Download Data
Period Mean (original grids) [d]
Model Period Mean (intersection) [d]
Benchmark Period Mean (intersection) [d]
Model Period Mean (complement) [d]
Benchmark Period Mean (complement) [d]
Bias [d]
RMSE [d]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 1.59
ACCESS-CM2_BARPA [-] 1.66 1.66 1.59 0.0678 0.438 0.924 0.921 0.802 0.894 0.931 0.870
ACCESS-CM2_CCAM [-] 1.60 1.60 1.59 0.0100 0.514 0.805 0.879 0.787 0.915 0.693 0.812
ACCESS-CM2_CMIP6 [-] 1.73 1.73 1.80 -0.0691 0.660 0.00 0.803 0.750 1.00 0.295 0.720
ACCESS-ESM1-5_BARPA [-] 1.80 1.79 1.59 0.200 0.520 1.03 0.873 0.783 0.891 0.951 0.856
ACCESS-ESM1-5_CCAM [-] 1.91 1.90 1.59 0.310 0.636 0.758 0.807 0.768 0.938 0.723 0.801
ACCESS-ESM1-5_CMIP6 [-] 2.12 2.12 1.55 0.571 1.04 1.01 0.704 0.596 0.934 0.914 0.749
CESM2_BARPA [-] 1.64 1.63 1.59 0.0419 0.488 0.900 0.931 0.779 0.928 0.962 0.876
CESM2_CCAM [-] 1.56 1.55 1.59 -0.0372 0.584 0.985 0.943 0.736 0.885 0.949 0.850
CESM2_CMIP6 [-] 2.19 2.19 1.56 0.626 0.919 0.409 0.687 0.672 0.974 0.982 0.797
CMCC-ESM2_BARPA [-] 1.41 1.40 1.59 -0.190 0.602 1.12 0.905 0.739 0.877 0.979 0.848
CMCC-ESM2_CCAM [-] 1.79 1.79 1.59 0.193 0.533 0.880 0.862 0.779 0.905 0.891 0.843
CMCC-ESM2_CMIP6 [-] 2.50 2.50 1.56 0.938 1.51 0.534 0.576 0.502 0.958 0.768 0.661
CNRM-ESM2-1_CCAM [-] 1.72 1.71 1.59 0.121 0.549 0.900 0.864 0.771 0.919 0.575 0.780
CNRM-ESM2-1_CMIP6 [-] 1.39 1.39 1.60 -0.215 0.601 1.09 0.869 0.735 0.918 0.963 0.844
EC-Earth3_BARPA [-] 1.28 1.27 1.59 -0.318 0.481 0.896 0.845 0.827 0.932 0.973 0.881
EC-Earth3_CCAM [-] 1.61 1.61 1.59 0.0182 0.527 0.731 0.903 0.768 0.914 0.816 0.834
EC-Earth3_CMIP6 [-] 1.48 1.48 1.57 -0.0896 0.583 0.784 0.920 0.727 0.916 0.983 0.855
ERA5_BARPA [-] 1.63 1.62 1.59 0.0292 0.473 1.31 0.934 0.783 0.836 0.962 0.860
ERA5_CCAM [-] 1.84 1.84 1.59 0.246 0.487 1.11 0.841 0.819 0.870 0.777 0.825
MPI-ESM1-2-HR_BARPA [-] 1.07 1.07 1.59 -0.526 0.649 0.603 0.755 0.818 0.941 0.862 0.839
MPI-ESM1-2-HR_CMIP6 [-] 0.576 0.576 1.63 -1.05 1.16 1.05 0.550 0.751 0.922 0.519 0.699
NorESM2-MM_BARPA [-] 1.67 1.66 1.59 0.0711 0.643 1.09 0.922 0.712 0.902 0.954 0.841
NorESM2-MM_CCAM [-] 1.82 1.82 1.59 0.224 0.577 0.833 0.838 0.774 0.935 0.568 0.778
NorESM2-MM_CMIP6 [-] 2.19 2.19 1.56 0.627 0.820 0.884 0.684 0.732 0.942 0.995 0.817
Download Data
Period Mean (original grids) [d]
Model Period Mean (intersection) [d]
Benchmark Period Mean (intersection) [d]
Model Period Mean (complement) [d]
Benchmark Period Mean (complement) [d]
Bias [d]
RMSE [d]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 2.53
ACCESS-CM2_BARPA [-] 2.33 2.34 2.53 -0.199 0.667 1.04 0.907 0.759 0.902 0.961 0.858
ACCESS-CM2_CCAM [-] 2.21 2.22 2.53 -0.316 0.740 0.911 0.860 0.755 0.917 0.815 0.821
ACCESS-CM2_CMIP6 [-] 2.28 2.28 2.55 -0.273 0.657 1.01 0.872 0.735 0.874 0.800 0.803
ACCESS-ESM1-5_BARPA [-] 2.35 2.36 2.53 -0.179 0.630 0.997 0.908 0.772 0.902 0.981 0.867
ACCESS-ESM1-5_CCAM [-] 2.50 2.50 2.53 -0.0349 0.677 1.07 0.911 0.755 0.888 0.974 0.856
ACCESS-ESM1-5_CMIP6 [-] 2.58 2.58 2.37 0.205 0.936 0.767 0.888 0.603 0.949 0.963 0.801
CESM2_BARPA [-] 2.45 2.45 2.53 -0.0871 0.668 0.923 0.939 0.750 0.915 0.986 0.868
CESM2_CCAM [-] 2.01 2.02 2.53 -0.517 0.843 1.84 0.796 0.748 0.742 0.981 0.803
CESM2_CMIP6 [-] 2.97 2.97 2.47 0.506 0.915 0.894 0.774 0.681 0.916 0.933 0.797
CMCC-ESM2_BARPA [-] 2.49 2.49 2.53 -0.0492 0.720 1.01 0.946 0.731 0.895 0.999 0.860
CMCC-ESM2_CCAM [-] 2.75 2.75 2.53 0.213 0.577 1.02 0.883 0.798 0.882 0.896 0.852
CMCC-ESM2_CMIP6 [-] 3.32 3.32 2.47 0.858 1.20 1.01 0.647 0.659 0.895 0.834 0.739
CNRM-ESM2-1_CCAM [-] 2.20 2.20 2.53 -0.331 0.740 1.14 0.859 0.756 0.892 0.862 0.825
CNRM-ESM2-1_CMIP6 [-] 2.46 2.46 2.54 -0.0784 0.814 1.02 0.852 0.713 0.909 0.965 0.830
EC-Earth3_BARPA [-] 2.18 2.18 2.53 -0.354 0.724 0.981 0.852 0.763 0.892 0.996 0.853
EC-Earth3_CCAM [-] 2.30 2.30 2.53 -0.236 0.667 1.01 0.893 0.768 0.885 0.938 0.850
EC-Earth3_CMIP6 [-] 2.28 2.28 2.54 -0.265 0.641 1.21 0.863 0.772 0.875 0.819 0.820
ERA5_BARPA [-] 2.41 2.41 2.53 -0.122 0.512 0.870 0.933 0.809 0.915 0.988 0.891
ERA5_CCAM [-] 2.48 2.48 2.53 -0.0523 0.492 0.996 0.917 0.829 0.888 0.891 0.871
MPI-ESM1-2-HR_BARPA [-] 1.75 1.75 2.53 -0.788 0.971 1.34 0.703 0.780 0.828 0.903 0.799
MPI-ESM1-2-HR_CMIP6 [-] 1.40 1.40 2.52 -1.12 1.22 1.28 0.574 0.786 0.851 0.990 0.797
NorESM2-MM_BARPA [-] 2.56 2.56 2.53 0.0247 0.690 1.06 0.940 0.738 0.894 0.981 0.858
NorESM2-MM_CCAM [-] 2.28 2.28 2.53 -0.250 0.705 1.23 0.874 0.764 0.850 0.833 0.817
NorESM2-MM_CMIP6 [-] 2.86 2.86 2.47 0.397 0.721 1.35 0.820 0.743 0.872 0.962 0.828
Download Data
Period Mean (original grids) [d]
Model Period Mean (intersection) [d]
Benchmark Period Mean (intersection) [d]
Model Period Mean (complement) [d]
Benchmark Period Mean (complement) [d]
Bias [d]
RMSE [d]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 1.41
ACCESS-CM2_BARPA [-] 1.39 1.39 1.41 -0.0155 0.650 0.595 0.941 0.779 0.962 0.762 0.844
ACCESS-CM2_CCAM [-] 1.41 1.41 1.41 0.00229 0.698 0.568 0.904 0.780 0.962 0.724 0.830
ACCESS-CM2_CMIP6 [-] 1.58 1.58 1.47 0.110 0.937 0.415 0.868 0.704 0.973 0.195 0.689
ACCESS-ESM1-5_BARPA [-] 1.57 1.57 1.41 0.158 0.498 0.432 0.909 0.831 0.972 0.809 0.870
ACCESS-ESM1-5_CCAM [-] 1.80 1.81 1.41 0.397 0.866 0.614 0.822 0.748 0.961 0.863 0.828
ACCESS-ESM1-5_CMIP6 [-] 1.95 1.95 1.46 0.490 1.08 0.689 0.798 0.671 0.956 0.876 0.794
CESM2_BARPA [-] 1.19 1.19 1.41 -0.219 0.553 0.581 0.916 0.822 0.959 0.637 0.831
CESM2_CCAM [-] 1.18 1.19 1.41 -0.220 0.848 0.586 0.914 0.717 0.961 0.979 0.858
CESM2_CMIP6 [-] 1.84 1.84 1.41 0.431 1.10 0.606 0.815 0.646 0.961 0.864 0.786
CMCC-ESM2_BARPA [-] 1.08 1.08 1.41 -0.333 0.700 0.523 0.882 0.780 0.964 0.696 0.820
CMCC-ESM2_CCAM [-] 1.67 1.68 1.41 0.272 0.698 0.580 0.868 0.773 0.962 0.879 0.851
CMCC-ESM2_CMIP6 [-] 2.36 2.36 1.41 0.948 1.77 0.556 0.653 0.516 0.964 0.972 0.724
CNRM-ESM2-1_CCAM [-] 1.63 1.63 1.41 0.226 0.619 0.503 0.876 0.803 0.966 0.872 0.864
CNRM-ESM2-1_CMIP6 [-] 1.08 1.08 1.45 -0.377 0.916 0.512 0.835 0.720 0.967 0.909 0.830
EC-Earth3_BARPA [-] 1.20 1.20 1.41 -0.209 0.474 0.456 0.920 0.847 0.971 0.884 0.894
EC-Earth3_CCAM [-] 1.63 1.64 1.41 0.232 0.724 0.453 0.886 0.763 0.970 0.971 0.870
EC-Earth3_CMIP6 [-] 1.58 1.58 1.40 0.175 0.971 0.586 0.918 0.673 0.961 0.997 0.844
ERA5_BARPA [-] 1.45 1.45 1.41 0.0456 0.642 0.862 0.940 0.775 0.922 0.836 0.850
ERA5_CCAM [-] 1.79 1.79 1.41 0.385 0.614 0.520 0.834 0.824 0.959 0.913 0.871
MPI-ESM1-2-HR_BARPA [-] 0.977 0.981 1.41 -0.428 0.676 0.445 0.842 0.817 0.971 0.842 0.858
MPI-ESM1-2-HR_CMIP6 [-] 0.570 0.570 1.43 -0.860 1.22 0.575 0.694 0.704 0.963 0.820 0.777
NorESM2-MM_BARPA [-] 1.41 1.41 1.41 -0.00245 0.648 0.497 0.948 0.768 0.963 0.818 0.853
NorESM2-MM_CCAM [-] 1.91 1.92 1.41 0.509 0.810 0.643 0.798 0.769 0.959 0.969 0.853
NorESM2-MM_CMIP6 [-] 2.16 2.16 1.41 0.749 1.07 0.681 0.711 0.708 0.956 0.874 0.791
Download Data
Period Mean (original grids) [d]
Model Period Mean (intersection) [d]
Benchmark Period Mean (intersection) [d]
Model Period Mean (complement) [d]
Benchmark Period Mean (complement) [d]
Bias [d]
RMSE [d]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 1.76
ACCESS-CM2_BARPA [-] 1.86 1.85 1.76 0.0974 0.797 0.575 0.899 0.800 0.962 0.791 0.850
ACCESS-CM2_CCAM [-] 1.99 2.00 1.76 0.244 0.948 0.545 0.865 0.772 0.958 0.588 0.791
ACCESS-CM2_CMIP6 [-] 1.98 1.98 1.72 0.257 1.17 0.342 0.873 0.696 0.970 0.848 0.817
ACCESS-ESM1-5_BARPA [-] 1.84 1.83 1.76 0.0779 0.711 0.710 0.905 0.806 0.954 0.773 0.849
ACCESS-ESM1-5_CCAM [-] 2.04 2.05 1.76 0.292 0.969 0.503 0.884 0.758 0.962 0.849 0.842
ACCESS-ESM1-5_CMIP6 [-] 2.06 2.06 1.69 0.367 1.01 0.624 0.870 0.730 0.960 0.995 0.857
CESM2_BARPA [-] 1.47 1.46 1.76 -0.296 0.859 0.789 0.909 0.772 0.934 0.724 0.822
CESM2_CCAM [-] 1.28 1.30 1.76 -0.459 1.16 0.443 0.855 0.701 0.968 0.982 0.842
CESM2_CMIP6 [-] 1.94 1.94 1.74 0.203 0.987 0.475 0.914 0.717 0.968 0.973 0.858
CMCC-ESM2_BARPA [-] 1.54 1.53 1.76 -0.225 1.02 0.689 0.900 0.728 0.955 0.742 0.811
CMCC-ESM2_CCAM [-] 2.39 2.41 1.76 0.648 1.13 0.344 0.788 0.733 0.977 0.803 0.807
CMCC-ESM2_CMIP6 [-] 2.93 2.93 1.74 1.19 1.97 0.458 0.648 0.571 0.971 0.807 0.713
CNRM-ESM2-1_CCAM [-] 2.27 2.28 1.76 0.528 0.959 0.504 0.820 0.770 0.966 0.845 0.834
CNRM-ESM2-1_CMIP6 [-] 1.05 1.05 1.69 -0.638 1.13 0.330 0.795 0.718 0.975 0.966 0.835
EC-Earth3_BARPA [-] 1.65 1.64 1.76 -0.115 0.621 0.549 0.930 0.828 0.964 0.784 0.867
EC-Earth3_CCAM [-] 2.20 2.21 1.76 0.458 1.12 0.440 0.845 0.709 0.968 0.909 0.828
EC-Earth3_CMIP6 [-] 2.18 2.18 1.74 0.437 1.27 0.798 0.850 0.658 0.930 0.980 0.815
ERA5_BARPA [-] 1.81 1.81 1.76 0.0496 0.756 0.619 0.921 0.789 0.955 0.780 0.847
ERA5_CCAM [-] 2.25 2.26 1.76 0.506 0.810 0.432 0.833 0.808 0.972 0.953 0.875
MPI-ESM1-2-HR_BARPA [-] 1.48 1.47 1.76 -0.286 0.741 0.670 0.905 0.805 0.956 0.748 0.844
MPI-ESM1-2-HR_CMIP6 [-] 1.01 1.01 1.72 -0.712 1.20 0.592 0.784 0.730 0.962 0.914 0.824
NorESM2-MM_BARPA [-] 1.81 1.81 1.76 0.0491 1.03 0.609 0.912 0.717 0.951 0.766 0.813
NorESM2-MM_CCAM [-] 2.13 2.14 1.76 0.378 0.791 0.392 0.859 0.810 0.974 0.792 0.849
NorESM2-MM_CMIP6 [-] 2.35 2.35 1.74 0.608 0.969 0.509 0.801 0.773 0.967 0.993 0.861
Download Data
Period Mean (original grids) [d]
Model Period Mean (intersection) [d]
Benchmark Period Mean (intersection) [d]
Model Period Mean (complement) [d]
Benchmark Period Mean (complement) [d]
Bias [d]
RMSE [d]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 1.54
ACCESS-CM2_BARPA [-] 1.64 1.63 1.54 0.0887 0.490 2.58 0.925 0.733 0.585 0.999 0.795
ACCESS-CM2_CCAM [-] 1.54 1.54 1.54 -0.00605 0.484 2.49 0.929 0.732 0.607 0.963 0.793
ACCESS-CM2_CMIP6 [-] 1.78 1.78 1.57 0.215 0.610 2.94 0.808 0.673 0.517 0.956 0.725
ACCESS-ESM1-5_BARPA [-] 1.48 1.47 1.54 -0.0680 0.482 1.95 0.948 0.732 0.719 0.989 0.824
ACCESS-ESM1-5_CCAM [-] 1.39 1.39 1.54 -0.156 0.548 2.19 0.892 0.712 0.674 0.968 0.792
ACCESS-ESM1-5_CMIP6 [-] 1.73 1.73 1.61 0.123 0.842 1.75 0.816 0.573 0.785 0.810 0.711
CESM2_BARPA [-] 1.59 1.58 1.54 0.0364 0.444 1.09 0.957 0.749 0.855 0.998 0.862
CESM2_CCAM [-] 1.19 1.18 1.54 -0.364 0.676 3.02 0.777 0.696 0.493 0.992 0.731
CESM2_CMIP6 [-] 1.89 1.89 1.58 0.303 0.675 1.29 0.789 0.651 0.808 0.954 0.771
CMCC-ESM2_BARPA [-] 1.49 1.49 1.54 -0.0540 0.465 1.68 0.957 0.733 0.771 0.995 0.838
CMCC-ESM2_CCAM [-] 1.84 1.84 1.54 0.295 0.542 1.71 0.802 0.751 0.774 0.966 0.809
CMCC-ESM2_CMIP6 [-] 1.87 1.87 1.58 0.286 0.633 1.34 0.792 0.680 0.851 0.952 0.791
CNRM-ESM2-1_CCAM [-] 1.45 1.45 1.54 -0.0930 0.468 1.36 0.917 0.748 0.818 0.904 0.827
CNRM-ESM2-1_CMIP6 [-] 1.42 1.42 1.58 -0.156 0.588 3.32 0.853 0.676 0.449 0.965 0.724
EC-Earth3_BARPA [-] 1.23 1.22 1.54 -0.318 0.520 1.56 0.812 0.761 0.795 0.944 0.815
EC-Earth3_CCAM [-] 1.37 1.37 1.54 -0.173 0.596 1.82 0.898 0.683 0.753 0.919 0.787
EC-Earth3_CMIP6 [-] 1.22 1.22 1.57 -0.354 0.649 2.11 0.777 0.679 0.706 0.991 0.766
ERA5_BARPA [-] 1.60 1.59 1.54 0.0532 0.331 1.18 0.933 0.811 0.841 0.980 0.875
ERA5_CCAM [-] 1.59 1.58 1.54 0.0424 0.316 1.16 0.913 0.833 0.843 0.940 0.872
MPI-ESM1-2-HR_BARPA [-] 1.36 1.35 1.54 -0.190 0.547 3.40 0.874 0.734 0.445 0.996 0.757
MPI-ESM1-2-HR_CMIP6 [-] 0.914 0.914 1.54 -0.626 0.774 4.28 0.629 0.728 0.274 0.984 0.669
NorESM2-MM_BARPA [-] 1.74 1.73 1.54 0.193 0.533 2.30 0.872 0.719 0.648 0.998 0.791
NorESM2-MM_CCAM [-] 1.70 1.70 1.54 0.154 0.464 2.53 0.871 0.753 0.598 0.953 0.786
NorESM2-MM_CMIP6 [-] 2.01 2.01 1.58 0.429 0.556 1.61 0.721 0.792 0.789 0.874 0.794
Download Data
Period Mean (original grids) [d]
Model Period Mean (intersection) [d]
Benchmark Period Mean (intersection) [d]
Model Period Mean (complement) [d]
Benchmark Period Mean (complement) [d]
Bias [d]
RMSE [d]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 0.770
ACCESS-CM2_BARPA [-] 1.10 1.09 0.770 0.325 0.495 0.724 0.793 0.777 0.934 0.994 0.855
ACCESS-CM2_CCAM [-] 1.23 1.24 0.770 0.465 0.605 0.718 0.724 0.771 0.938 0.886 0.818
ACCESS-CM2_CMIP6 [-] 1.19 1.19 0.774 0.416 0.585 0.579 0.730 0.750 0.943 0.939 0.823
ACCESS-ESM1-5_BARPA [-] 1.09 1.09 0.770 0.319 0.556 0.890 0.800 0.729 0.935 0.929 0.824
ACCESS-ESM1-5_CCAM [-] 1.17 1.17 0.770 0.404 0.593 0.742 0.760 0.748 0.943 0.728 0.785
ACCESS-ESM1-5_CMIP6 [-] 1.23 1.23 0.767 0.467 0.730 0.871 0.702 0.659 0.937 0.841 0.760
CESM2_BARPA [-] 0.888 0.887 0.770 0.117 0.494 1.37 0.907 0.719 0.856 0.985 0.837
CESM2_CCAM [-] 0.586 0.586 0.770 -0.184 0.567 1.72 0.883 0.692 0.729 0.986 0.796
CESM2_CMIP6 [-] 1.19 1.19 0.771 0.415 0.703 0.728 0.730 0.669 0.946 0.842 0.771
CMCC-ESM2_BARPA [-] 0.876 0.876 0.770 0.106 0.577 1.91 0.913 0.674 0.722 0.986 0.794
CMCC-ESM2_CCAM [-] 1.57 1.57 0.770 0.803 1.06 1.15 0.567 0.622 0.833 0.850 0.699
CMCC-ESM2_CMIP6 [-] 1.84 1.84 0.771 1.07 1.68 0.633 0.457 0.406 0.951 0.613 0.567
CNRM-ESM2-1_CCAM [-] 1.27 1.27 0.770 0.497 0.701 0.828 0.711 0.713 0.924 0.825 0.777
CNRM-ESM2-1_CMIP6 [-] 0.545 0.545 0.772 -0.228 0.466 0.728 0.857 0.748 0.913 0.725 0.798
EC-Earth3_BARPA [-] 0.708 0.708 0.770 -0.0620 0.361 1.17 0.933 0.788 0.878 0.986 0.874
EC-Earth3_CCAM [-] 1.11 1.11 0.770 0.337 0.651 0.531 0.799 0.683 0.952 0.797 0.783
EC-Earth3_CMIP6 [-] 0.877 0.877 0.769 0.107 0.634 0.566 0.892 0.650 0.947 0.783 0.784
ERA5_BARPA [-] 1.02 1.02 0.770 0.249 0.545 1.63 0.838 0.716 0.798 0.992 0.812
ERA5_CCAM [-] 1.23 1.23 0.770 0.460 0.612 0.862 0.728 0.764 0.896 0.772 0.785
MPI-ESM1-2-HR_BARPA [-] 0.683 0.683 0.770 -0.0876 0.400 0.925 0.920 0.774 0.921 0.978 0.873
MPI-ESM1-2-HR_CMIP6 [-] 0.339 0.339 0.769 -0.430 0.596 0.825 0.723 0.761 0.928 0.942 0.823
NorESM2-MM_BARPA [-] 1.10 1.10 0.770 0.329 0.715 2.35 0.789 0.644 0.639 0.995 0.742
NorESM2-MM_CCAM [-] 1.40 1.40 0.770 0.628 0.772 0.666 0.637 0.730 0.932 0.989 0.804
NorESM2-MM_CMIP6 [-] 1.54 1.54 0.771 0.764 0.928 0.630 0.560 0.680 0.930 0.974 0.765
Download Data
Period Mean (original grids) [d]
Model Period Mean (intersection) [d]
Benchmark Period Mean (intersection) [d]
Model Period Mean (complement) [d]
Benchmark Period Mean (complement) [d]
Bias [d]
RMSE [d]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 0.748
ACCESS-CM2_BARPA [-] 0.966 0.966 0.748 0.218 0.413 1.41 0.829 0.754 0.825 0.874 0.807
ACCESS-CM2_CCAM [-] 0.878 0.878 0.748 0.130 0.393 2.07 0.878 0.748 0.697 0.960 0.806
ACCESS-CM2_CMIP6 [-] 0.963 0.963 0.759 0.205 0.449 1.62 0.820 0.714 0.785 0.908 0.788
ACCESS-ESM1-5_BARPA [-] 0.890 0.890 0.748 0.142 0.367 0.992 0.882 0.756 0.878 0.981 0.850
ACCESS-ESM1-5_CCAM [-] 0.687 0.687 0.748 -0.0614 0.345 2.24 0.914 0.765 0.663 0.983 0.818
ACCESS-ESM1-5_CMIP6 [-] 0.967 0.967 0.760 0.207 0.509 1.65 0.824 0.658 0.796 0.995 0.786
CESM2_BARPA [-] 0.796 0.796 0.748 0.0481 0.372 1.46 0.943 0.733 0.808 0.989 0.841
CESM2_CCAM [-] 0.534 0.533 0.748 -0.215 0.545 3.76 0.833 0.663 0.332 0.909 0.680
CESM2_CMIP6 [-] 0.905 0.905 0.757 0.148 0.371 1.15 0.848 0.754 0.847 0.900 0.821
CMCC-ESM2_BARPA [-] 0.845 0.845 0.748 0.0966 0.501 2.53 0.914 0.661 0.596 0.975 0.761
CMCC-ESM2_CCAM [-] 1.30 1.30 0.748 0.551 0.740 1.95 0.627 0.666 0.714 0.993 0.733
CMCC-ESM2_CMIP6 [-] 1.27 1.27 0.757 0.511 0.878 1.27 0.647 0.558 0.855 0.757 0.675
CNRM-ESM2-1_CCAM [-] 0.979 0.979 0.748 0.231 0.406 1.16 0.824 0.764 0.859 0.975 0.837
CNRM-ESM2-1_CMIP6 [-] 0.580 0.580 0.745 -0.165 0.364 2.33 0.863 0.745 0.624 0.873 0.770
EC-Earth3_BARPA [-] 0.606 0.606 0.748 -0.142 0.346 1.26 0.878 0.774 0.832 0.928 0.837
EC-Earth3_CCAM [-] 0.751 0.751 0.748 0.00292 0.399 1.22 0.907 0.731 0.853 0.982 0.841
EC-Earth3_CMIP6 [-] 0.613 0.613 0.752 -0.139 0.475 1.20 0.851 0.686 0.863 0.962 0.810
ERA5_BARPA [-] 0.979 0.978 0.748 0.230 0.397 1.62 0.821 0.762 0.790 0.985 0.824
ERA5_CCAM [-] 0.841 0.840 0.748 0.0922 0.243 0.794 0.903 0.843 0.890 0.991 0.894
MPI-ESM1-2-HR_BARPA [-] 0.680 0.679 0.748 -0.0688 0.315 1.50 0.938 0.777 0.804 0.847 0.829
MPI-ESM1-2-HR_CMIP6 [-] 0.305 0.305 0.757 -0.451 0.531 1.25 0.665 0.785 0.830 0.760 0.765
NorESM2-MM_BARPA [-] 1.03 1.03 0.748 0.282 0.513 2.20 0.785 0.697 0.677 0.970 0.765
NorESM2-MM_CCAM [-] 1.13 1.13 0.748 0.386 0.576 2.46 0.721 0.703 0.619 0.962 0.741
NorESM2-MM_CMIP6 [-] 1.27 1.27 0.757 0.518 0.682 2.41 0.628 0.687 0.628 0.972 0.720
Download Data
Period Mean (original grids) [d]
Model Period Mean (intersection) [d]
Benchmark Period Mean (intersection) [d]
Model Period Mean (complement) [d]
Benchmark Period Mean (complement) [d]
Bias [d]
RMSE [d]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 2.61
ACCESS-CM2_BARPA [-] 2.50 2.50 2.61 -0.107 0.823 1.45 0.869 0.681 0.819 0.872 0.784
ACCESS-CM2_CCAM [-] 2.38 2.38 2.61 -0.227 0.804 1.71 0.852 0.690 0.764 0.995 0.798
ACCESS-CM2_CMIP6 [-] 2.94 2.94 3.09 -0.147 0.855 1.52 0.912 0.594 0.842 0.996 0.787
ACCESS-ESM1-5_BARPA [-] 2.27 2.28 2.61 -0.331 0.871 1.34 0.825 0.693 0.851 0.845 0.781
ACCESS-ESM1-5_CCAM [-] 2.28 2.29 2.61 -0.325 0.814 1.69 0.828 0.700 0.768 0.983 0.796
ACCESS-ESM1-5_CMIP6 [-] 2.08 2.08 2.48 -0.402 0.833 0.00 0.759 0.606 1.00 1.00 0.794
CESM2_BARPA [-] 2.55 2.54 2.61 -0.0693 0.857 1.37 0.837 0.687 0.840 0.726 0.755
CESM2_CCAM [-] 2.75 2.76 2.61 0.146 0.992 1.36 0.849 0.629 0.834 0.897 0.767
CESM2_CMIP6 [-] 3.09 3.09 2.52 0.564 1.04 1.51 0.705 0.585 0.751 0.627 0.651
CMCC-ESM2_BARPA [-] 2.35 2.35 2.61 -0.256 0.597 0.996 0.864 0.777 0.893 0.920 0.846
CMCC-ESM2_CCAM [-] 2.77 2.77 2.61 0.158 0.573 1.16 0.876 0.771 0.862 0.932 0.842
CMCC-ESM2_CMIP6 [-] 2.69 2.69 2.52 0.163 0.454 1.02 0.903 0.767 0.933 0.993 0.872
CNRM-ESM2-1_CCAM [-] 2.22 2.23 2.61 -0.382 0.739 1.94 0.812 0.734 0.725 0.986 0.799
CNRM-ESM2-1_CMIP6 [-] 3.04 3.04 2.61 0.426 0.942 1.02 0.753 0.620 0.933 0.0646 0.598
EC-Earth3_BARPA [-] 2.21 2.21 2.61 -0.398 0.668 1.22 0.814 0.763 0.872 0.998 0.842
EC-Earth3_CCAM [-] 2.45 2.46 2.61 -0.149 0.582 1.60 0.876 0.770 0.771 0.949 0.827
EC-Earth3_CMIP6 [-] 2.57 2.57 2.60 -0.0353 0.748 1.20 0.783 0.713 0.881 0.328 0.684
ERA5_BARPA [-] 2.46 2.45 2.61 -0.162 0.542 1.47 0.898 0.781 0.812 0.967 0.848
ERA5_CCAM [-] 2.32 2.32 2.61 -0.287 0.529 0.836 0.838 0.822 0.898 0.924 0.861
MPI-ESM1-2-HR_BARPA [-] 2.32 2.33 2.61 -0.279 0.903 1.56 0.842 0.674 0.797 0.847 0.767
MPI-ESM1-2-HR_CMIP6 [-] 2.55 2.55 2.60 -0.0528 1.02 2.71 0.687 0.648 0.560 0.0362 0.516
NorESM2-MM_BARPA [-] 2.64 2.64 2.61 0.0248 0.619 1.04 0.873 0.756 0.887 0.871 0.828
NorESM2-MM_CCAM [-] 2.43 2.43 2.61 -0.176 0.711 1.12 0.858 0.725 0.879 0.984 0.834
NorESM2-MM_CMIP6 [-] 2.81 2.81 2.52 0.290 0.554 2.04 0.835 0.749 0.747 0.865 0.789
Download Data
Period Mean (original grids) [d]
Model Period Mean (intersection) [d]
Benchmark Period Mean (intersection) [d]
Model Period Mean (complement) [d]
Benchmark Period Mean (complement) [d]
Bias [d]
RMSE [d]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 3.95
ACCESS-CM2_BARPA [-] 4.40 4.45 3.95 0.494 1.23 0.544 0.828 0.662 0.957 0.887 0.799
ACCESS-CM2_CCAM [-] 3.75 3.76 3.95 -0.191 1.27 0.816 0.910 0.636 0.909 0.959 0.810
ACCESS-CM2_CMIP6 [-] 3.64 3.64 4.09 -0.446 1.54 0.00 0.837 0.555 1.00 1.00 0.789
ACCESS-ESM1-5_BARPA [-] 4.29 4.35 3.95 0.393 1.60 0.688 0.845 0.570 0.929 0.833 0.750
ACCESS-ESM1-5_CCAM [-] 4.08 4.12 3.95 0.165 1.64 0.742 0.877 0.556 0.939 0.821 0.750
ACCESS-ESM1-5_CMIP6 [-] 2.99 2.99 3.44 -0.454 1.02 1.01 0.806 0.649 0.876 0.757 0.747
CESM2_BARPA [-] 4.47 4.52 3.95 0.566 1.80 1.08 0.806 0.536 0.873 0.887 0.727
CESM2_CCAM [-] 4.54 4.57 3.95 0.614 2.28 0.947 0.787 0.445 0.897 0.902 0.695
CESM2_CMIP6 [-] 3.90 3.90 3.78 0.123 1.61 1.02 0.948 0.513 0.894 1.00 0.774
CMCC-ESM2_BARPA [-] 4.21 4.26 3.95 0.301 1.21 0.610 0.859 0.661 0.943 0.861 0.797
CMCC-ESM2_CCAM [-] 3.89 3.90 3.95 -0.0498 1.07 1.03 0.935 0.683 0.886 0.994 0.836
CMCC-ESM2_CMIP6 [-] 3.29 3.29 3.78 -0.487 1.02 0.668 0.813 0.701 0.917 0.971 0.821
CNRM-ESM2-1_CCAM [-] 3.83 3.86 3.95 -0.0931 0.770 0.864 0.903 0.770 0.917 0.862 0.845
CNRM-ESM2-1_CMIP6 [-] 4.06 4.06 3.62 0.442 0.883 0.694 0.815 0.706 0.953 0.996 0.835
EC-Earth3_BARPA [-] 3.87 3.92 3.95 -0.0360 0.784 0.403 0.921 0.759 0.969 0.921 0.866
EC-Earth3_CCAM [-] 3.73 3.75 3.95 -0.200 0.721 0.513 0.916 0.783 0.961 0.972 0.883
EC-Earth3_CMIP6 [-] 4.00 4.00 3.87 0.128 0.763 0.379 0.919 0.738 0.975 0.980 0.870
ERA5_BARPA [-] 4.10 4.14 3.95 0.186 0.639 0.651 0.894 0.811 0.950 0.930 0.879
ERA5_CCAM [-] 3.50 3.52 3.95 -0.434 0.727 0.784 0.849 0.811 0.915 0.988 0.875
MPI-ESM1-2-HR_BARPA [-] 4.50 4.55 3.95 0.598 1.52 0.863 0.796 0.602 0.936 0.803 0.748
MPI-ESM1-2-HR_CMIP6 [-] 3.58 3.58 4.08 -0.506 1.10 0.814 0.832 0.697 0.923 0.977 0.825
NorESM2-MM_BARPA [-] 4.35 4.40 3.95 0.444 1.09 0.706 0.840 0.695 0.938 0.943 0.823
NorESM2-MM_CCAM [-] 4.01 4.03 3.95 0.0765 1.29 0.897 0.910 0.629 0.904 0.936 0.802
NorESM2-MM_CMIP6 [-] 3.83 3.83 3.78 0.0569 0.901 0.668 0.942 0.689 0.917 0.834 0.814
Download Data
Period Mean (original grids) [d]
Model Period Mean (intersection) [d]
Benchmark Period Mean (intersection) [d]
Model Period Mean (complement) [d]
Benchmark Period Mean (complement) [d]
Bias [d]
RMSE [d]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 2.65
ACCESS-CM2_BARPA [-] 2.37 2.42 2.65 -0.233 0.782 1.72 0.876 0.707 0.782 0.857 0.786
ACCESS-CM2_CCAM [-] 2.06 2.09 2.65 -0.562 0.955 1.66 0.763 0.691 0.795 0.990 0.786
ACCESS-CM2_CMIP6 [-] 2.21 2.21 2.58 -0.372 0.790 2.31 0.814 0.674 0.652 0.126 0.588
ACCESS-ESM1-5_BARPA [-] 2.12 2.16 2.65 -0.488 0.887 1.91 0.788 0.702 0.746 0.944 0.776
ACCESS-ESM1-5_CCAM [-] 2.05 2.07 2.65 -0.580 0.946 1.32 0.756 0.698 0.861 0.982 0.799
ACCESS-ESM1-5_CMIP6 [-] 2.08 2.08 2.51 -0.426 1.06 2.05 0.778 0.561 0.745 0.998 0.729
CESM2_BARPA [-] 2.45 2.49 2.65 -0.155 0.705 1.12 0.900 0.726 0.865 0.868 0.817
CESM2_CCAM [-] 1.87 1.89 2.65 -0.755 1.11 2.70 0.695 0.687 0.562 0.966 0.719
CESM2_CMIP6 [-] 2.68 2.68 2.61 0.0671 0.723 1.18 0.919 0.670 0.903 0.617 0.756
CMCC-ESM2_BARPA [-] 2.47 2.49 2.65 -0.157 0.657 0.928 0.909 0.746 0.905 0.927 0.846
CMCC-ESM2_CCAM [-] 2.60 2.61 2.65 -0.0402 0.587 0.947 0.902 0.766 0.892 0.907 0.847
CMCC-ESM2_CMIP6 [-] 3.07 3.07 2.61 0.454 0.993 1.18 0.733 0.660 0.903 0.364 0.664
CNRM-ESM2-1_CCAM [-] 2.03 2.04 2.65 -0.603 1.04 1.70 0.749 0.665 0.808 0.987 0.775
CNRM-ESM2-1_CMIP6 [-] 2.66 2.66 2.72 -0.0509 1.05 2.36 0.777 0.575 0.646 0.276 0.570
EC-Earth3_BARPA [-] 2.12 2.14 2.65 -0.512 0.875 1.89 0.778 0.710 0.749 0.983 0.786
EC-Earth3_CCAM [-] 2.13 2.14 2.65 -0.505 0.973 2.35 0.783 0.671 0.648 0.907 0.736
EC-Earth3_CMIP6 [-] 2.15 2.15 2.60 -0.445 0.917 1.71 0.790 0.657 0.797 0.922 0.765
ERA5_BARPA [-] 2.46 2.49 2.65 -0.159 0.525 0.723 0.909 0.795 0.897 0.923 0.864
ERA5_CCAM [-] 2.33 2.35 2.65 -0.298 0.545 0.463 0.858 0.818 0.941 0.964 0.880
MPI-ESM1-2-HR_BARPA [-] 2.01 2.05 2.65 -0.595 0.970 2.18 0.750 0.720 0.657 0.769 0.723
MPI-ESM1-2-HR_CMIP6 [-] 1.75 1.75 2.62 -0.867 1.18 3.89 0.621 0.666 0.315 0.888 0.631
NorESM2-MM_BARPA [-] 2.65 2.68 2.65 0.0321 0.616 0.900 0.923 0.752 0.909 0.878 0.843
NorESM2-MM_CCAM [-] 2.20 2.23 2.65 -0.420 0.763 1.26 0.816 0.745 0.855 0.995 0.831
NorESM2-MM_CMIP6 [-] 2.72 2.72 2.61 0.104 0.494 0.848 0.917 0.768 0.944 0.862 0.852
Download Data
Period Mean (original grids) [d]
Model Period Mean (intersection) [d]
Benchmark Period Mean (intersection) [d]
Model Period Mean (complement) [d]
Benchmark Period Mean (complement) [d]
Bias [d]
RMSE [d]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 2.49
ACCESS-CM2_BARPA [-] 2.57 2.54 2.49 0.0466 0.717 1.19 0.930 0.692 0.833 0.987 0.827
ACCESS-CM2_CCAM [-] 2.12 2.10 2.49 -0.385 0.800 1.31 0.820 0.694 0.820 0.758 0.757
ACCESS-CM2_CMIP6 [-] 2.51 2.51 2.69 -0.184 0.987 2.38 0.884 0.573 0.642 0.936 0.722
ACCESS-ESM1-5_BARPA [-] 2.31 2.28 2.49 -0.212 0.654 0.960 0.893 0.729 0.883 0.973 0.841
ACCESS-ESM1-5_CCAM [-] 2.07 2.05 2.49 -0.440 0.852 1.32 0.794 0.683 0.814 0.950 0.785
ACCESS-ESM1-5_CMIP6 [-] 2.20 2.20 2.23 -0.0257 0.645 1.02 0.984 0.656 0.873 0.885 0.811
CESM2_BARPA [-] 2.64 2.60 2.49 0.109 0.689 0.960 0.907 0.711 0.890 0.992 0.842
CESM2_CCAM [-] 2.33 2.32 2.49 -0.171 1.15 1.44 0.885 0.560 0.807 0.996 0.762
CESM2_CMIP6 [-] 2.48 2.48 2.41 0.0648 0.495 1.44 0.909 0.766 0.844 0.592 0.775
CMCC-ESM2_BARPA [-] 2.46 2.42 2.49 -0.0648 0.650 0.737 0.937 0.720 0.935 0.995 0.862
CMCC-ESM2_CCAM [-] 2.33 2.32 2.49 -0.170 0.477 0.609 0.915 0.798 0.949 0.755 0.843
CMCC-ESM2_CMIP6 [-] 2.25 2.25 2.41 -0.157 0.438 0.202 0.906 0.804 0.987 0.618 0.824
CNRM-ESM2-1_CCAM [-] 2.06 2.05 2.49 -0.443 0.716 1.02 0.793 0.744 0.903 0.893 0.815
CNRM-ESM2-1_CMIP6 [-] 2.24 2.24 2.77 -0.529 0.911 1.03 0.740 0.654 0.930 1.00 0.796
EC-Earth3_BARPA [-] 2.09 2.05 2.49 -0.436 0.604 0.772 0.795 0.809 0.928 0.975 0.863
EC-Earth3_CCAM [-] 2.05 2.03 2.49 -0.458 0.746 1.10 0.787 0.735 0.868 0.847 0.794
EC-Earth3_CMIP6 [-] 2.11 2.11 2.50 -0.390 0.728 1.27 0.805 0.711 0.806 0.996 0.806
ERA5_BARPA [-] 2.52 2.48 2.49 -0.0105 0.414 0.844 0.939 0.817 0.902 0.984 0.892
ERA5_CCAM [-] 2.20 2.18 2.49 -0.305 0.501 0.714 0.855 0.815 0.925 0.825 0.847
MPI-ESM1-2-HR_BARPA [-] 2.49 2.45 2.49 -0.0359 0.802 2.28 0.936 0.664 0.676 0.998 0.787
MPI-ESM1-2-HR_CMIP6 [-] 1.66 1.66 2.51 -0.852 1.21 2.46 0.607 0.609 0.619 0.984 0.686
NorESM2-MM_BARPA [-] 2.73 2.70 2.49 0.207 0.720 0.866 0.877 0.701 0.915 0.989 0.837
NorESM2-MM_CCAM [-] 2.45 2.44 2.49 -0.0534 0.674 0.865 0.911 0.711 0.908 0.898 0.828
NorESM2-MM_CMIP6 [-] 2.58 2.58 2.41 0.171 0.402 0.00 0.895 0.833 1.00 0.655 0.843
Download Data
Period Mean (original grids) [d]
Model Period Mean (intersection) [d]
Benchmark Period Mean (intersection) [d]
Model Period Mean (complement) [d]
Benchmark Period Mean (complement) [d]
Bias [d]
RMSE [d]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 1.28
ACCESS-CM2_BARPA [-] 1.45 1.47 1.28 0.185 0.405 1.74 0.869 0.772 0.747 0.995 0.831
ACCESS-CM2_CCAM [-] 1.14 1.13 1.28 -0.150 0.373 2.03 0.887 0.783 0.700 0.937 0.818
ACCESS-CM2_CMIP6 [-] 1.33 1.33 1.34 -0.0110 0.499 2.04 0.910 0.672 0.713 0.984 0.790
ACCESS-ESM1-5_BARPA [-] 1.27 1.28 1.28 0.00454 0.440 1.60 0.953 0.724 0.793 0.998 0.838
ACCESS-ESM1-5_CCAM [-] 1.04 1.02 1.28 -0.260 0.466 1.72 0.827 0.752 0.753 0.947 0.806
ACCESS-ESM1-5_CMIP6 [-] 1.26 1.26 1.32 -0.0580 0.683 3.69 0.951 0.559 0.396 0.999 0.693
CESM2_BARPA [-] 1.41 1.42 1.28 0.141 0.473 1.50 0.897 0.718 0.781 0.983 0.820
CESM2_CCAM [-] 1.05 1.03 1.28 -0.255 0.578 1.71 0.822 0.688 0.760 0.978 0.787
CESM2_CMIP6 [-] 1.39 1.39 1.28 0.109 0.640 3.45 0.909 0.599 0.431 0.899 0.687
CMCC-ESM2_BARPA [-] 1.34 1.35 1.28 0.0720 0.590 2.19 0.931 0.644 0.666 0.998 0.777
CMCC-ESM2_CCAM [-] 1.48 1.47 1.28 0.190 0.492 1.94 0.850 0.722 0.711 0.755 0.752
CMCC-ESM2_CMIP6 [-] 1.33 1.33 1.28 0.0461 0.447 0.732 0.928 0.696 0.935 0.802 0.812
CNRM-ESM2-1_CCAM [-] 1.23 1.22 1.28 -0.0616 0.322 1.58 0.929 0.799 0.789 0.878 0.839
CNRM-ESM2-1_CMIP6 [-] 0.976 0.976 1.14 -0.165 0.410 2.63 0.865 0.721 0.586 0.997 0.778
EC-Earth3_BARPA [-] 1.05 1.06 1.28 -0.221 0.495 1.67 0.846 0.724 0.789 0.999 0.816
EC-Earth3_CCAM [-] 1.11 1.10 1.28 -0.185 0.528 1.85 0.873 0.695 0.747 0.966 0.795
EC-Earth3_CMIP6 [-] 1.06 1.06 1.32 -0.264 0.627 2.55 0.816 0.645 0.597 0.996 0.740
ERA5_BARPA [-] 1.44 1.45 1.28 0.165 0.389 1.98 0.879 0.771 0.710 0.996 0.825
ERA5_CCAM [-] 1.26 1.25 1.28 -0.0319 0.267 1.49 0.944 0.830 0.787 0.929 0.864
MPI-ESM1-2-HR_BARPA [-] 1.25 1.26 1.28 -0.0186 0.426 1.72 0.950 0.736 0.762 0.989 0.834
MPI-ESM1-2-HR_CMIP6 [-] 0.548 0.548 1.28 -0.737 0.837 2.38 0.549 0.728 0.620 0.655 0.656
NorESM2-MM_BARPA [-] 1.62 1.63 1.28 0.345 0.585 1.93 0.771 0.704 0.706 0.983 0.773
NorESM2-MM_CCAM [-] 1.52 1.51 1.28 0.230 0.491 1.73 0.833 0.727 0.765 0.910 0.792
NorESM2-MM_CMIP6 [-] 1.67 1.67 1.28 0.388 0.530 1.89 0.719 0.756 0.755 0.844 0.766
Download Data
Period Mean (original grids) [d]
Model Period Mean (intersection) [d]
Benchmark Period Mean (intersection) [d]
Model Period Mean (complement) [d]
Benchmark Period Mean (complement) [d]
Bias [d]
RMSE [d]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 1.30
ACCESS-CM2_BARPA [-] 1.41 1.42 1.30 0.122 0.483 1.18 0.899 0.727 0.832 0.989 0.835
ACCESS-CM2_CCAM [-] 1.21 1.22 1.30 -0.0836 0.417 1.02 0.938 0.759 0.859 0.974 0.858
ACCESS-CM2_CMIP6 [-] 1.29 1.29 1.31 -0.0162 0.597 1.80 0.891 0.634 0.733 0.802 0.739
ACCESS-ESM1-5_BARPA [-] 1.18 1.19 1.30 -0.113 0.425 1.46 0.929 0.757 0.767 0.919 0.826
ACCESS-ESM1-5_CCAM [-] 0.991 0.992 1.30 -0.307 0.505 0.751 0.807 0.774 0.906 0.990 0.850
ACCESS-ESM1-5_CMIP6 [-] 1.08 1.08 1.32 -0.238 0.757 3.78 0.838 0.574 0.365 0.880 0.646
CESM2_BARPA [-] 1.37 1.38 1.30 0.0792 0.525 1.25 0.930 0.705 0.809 0.987 0.827
CESM2_CCAM [-] 1.33 1.33 1.30 0.0323 0.837 1.10 0.891 0.584 0.845 0.829 0.746
CESM2_CMIP6 [-] 1.19 1.19 1.33 -0.145 0.557 0.740 0.896 0.687 0.906 0.991 0.834
CMCC-ESM2_BARPA [-] 1.28 1.28 1.30 -0.0157 0.389 1.41 0.964 0.764 0.783 0.998 0.854
CMCC-ESM2_CCAM [-] 1.58 1.58 1.30 0.277 0.547 1.84 0.811 0.723 0.718 0.986 0.792
CMCC-ESM2_CMIP6 [-] 1.47 1.47 1.33 0.138 0.569 1.58 0.866 0.670 0.763 0.756 0.745
CNRM-ESM2-1_CCAM [-] 1.36 1.36 1.30 0.0623 0.444 1.45 0.895 0.748 0.808 0.880 0.816
CNRM-ESM2-1_CMIP6 [-] 1.26 1.26 1.32 -0.0587 0.600 1.22 0.845 0.668 0.859 0.987 0.805
EC-Earth3_BARPA [-] 1.22 1.24 1.30 -0.0619 0.415 1.14 0.910 0.767 0.857 0.990 0.858
EC-Earth3_CCAM [-] 1.32 1.32 1.30 0.0232 0.524 0.999 0.912 0.705 0.866 0.991 0.836
EC-Earth3_CMIP6 [-] 1.20 1.20 1.30 -0.101 0.593 1.85 0.880 0.655 0.719 0.993 0.781
ERA5_BARPA [-] 1.47 1.47 1.30 0.174 0.348 1.52 0.870 0.818 0.764 0.972 0.849
ERA5_CCAM [-] 1.23 1.23 1.30 -0.0719 0.299 1.04 0.945 0.824 0.854 0.971 0.884
MPI-ESM1-2-HR_BARPA [-] 1.24 1.25 1.30 -0.0496 0.449 1.11 0.935 0.742 0.843 0.997 0.852
MPI-ESM1-2-HR_CMIP6 [-] 0.696 0.696 1.27 -0.579 0.681 0.736 0.650 0.779 0.901 0.774 0.777
NorESM2-MM_BARPA [-] 1.53 1.54 1.30 0.238 0.507 1.10 0.839 0.736 0.872 0.998 0.836
NorESM2-MM_CCAM [-] 1.24 1.24 1.30 -0.0568 0.455 1.02 0.938 0.739 0.879 0.926 0.844
NorESM2-MM_CMIP6 [-] 1.36 1.36 1.33 0.0260 0.513 0.633 0.930 0.683 0.926 0.951 0.835
Download Data
Period Mean (original grids) [d]
Model Period Mean (intersection) [d]
Benchmark Period Mean (intersection) [d]
Model Period Mean (complement) [d]
Benchmark Period Mean (complement) [d]
Bias [d]
RMSE [d]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 2.72
ACCESS-CM2_BARPA [-] 2.13 2.11 2.72 -0.613 1.47 0.356 0.866 0.725 0.977 0.956 0.850
ACCESS-CM2_CCAM [-] 1.78 1.78 2.72 -0.935 2.00 0.512 0.799 0.653 0.965 0.798 0.774
ACCESS-CM2_CMIP6 [-] 1.77 1.77 2.71 -0.941 1.96 0.395 0.787 0.644 0.975 0.465 0.703
ACCESS-ESM1-5_BARPA [-] 2.33 2.30 2.72 -0.415 1.02 0.455 0.909 0.810 0.971 0.935 0.887
ACCESS-ESM1-5_CCAM [-] 2.33 2.34 2.72 -0.380 1.49 0.373 0.909 0.715 0.976 0.872 0.837
ACCESS-ESM1-5_CMIP6 [-] 2.74 2.74 2.83 -0.0904 1.70 0.00 0.966 0.662 1.00 0.875 0.833
CESM2_BARPA [-] 1.83 1.80 2.72 -0.920 1.46 0.375 0.804 0.765 0.975 0.820 0.826
CESM2_CCAM [-] 2.27 2.28 2.72 -0.440 1.49 0.822 0.902 0.713 0.934 0.807 0.814
CESM2_CMIP6 [-] 2.41 2.41 2.62 -0.208 1.42 0.442 0.930 0.703 0.972 0.563 0.774
CMCC-ESM2_BARPA [-] 1.76 1.73 2.72 -0.989 1.55 0.376 0.789 0.751 0.976 0.857 0.825
CMCC-ESM2_CCAM [-] 2.45 2.46 2.72 -0.258 0.983 0.246 0.926 0.809 0.984 0.792 0.864
CMCC-ESM2_CMIP6 [-] 3.01 3.01 2.62 0.395 1.13 0.00 0.880 0.753 1.00 0.720 0.821
CNRM-ESM2-1_CCAM [-] 2.01 2.01 2.72 -0.707 1.45 0.302 0.849 0.745 0.980 0.845 0.833
CNRM-ESM2-1_CMIP6 [-] 1.57 1.57 2.64 -1.06 1.88 0.00 0.765 0.675 1.00 0.670 0.757
EC-Earth3_BARPA [-] 1.98 1.96 2.72 -0.756 1.17 0.780 0.842 0.812 0.949 0.624 0.808
EC-Earth3_CCAM [-] 2.48 2.49 2.72 -0.231 1.31 0.826 0.916 0.746 0.941 0.678 0.805
EC-Earth3_CMIP6 [-] 2.78 2.78 2.71 0.0695 1.41 0.623 0.918 0.701 0.960 0.688 0.793
ERA5_BARPA [-] 2.25 2.22 2.72 -0.502 1.14 0.293 0.895 0.788 0.981 0.862 0.863
ERA5_CCAM [-] 2.44 2.45 2.72 -0.274 0.782 0.278 0.924 0.858 0.982 0.808 0.886
MPI-ESM1-2-HR_BARPA [-] 1.79 1.78 2.72 -0.944 1.53 0.198 0.794 0.745 0.986 0.945 0.843
MPI-ESM1-2-HR_CMIP6 [-] 0.962 0.962 2.76 -1.80 2.72 0.130 0.650 0.612 0.992 0.826 0.738
NorESM2-MM_BARPA [-] 2.24 2.23 2.72 -0.494 1.05 0.545 0.896 0.807 0.964 0.757 0.846
NorESM2-MM_CCAM [-] 2.77 2.78 2.72 0.0561 0.884 0.448 0.928 0.829 0.970 0.818 0.875
NorESM2-MM_CMIP6 [-] 2.84 2.84 2.62 0.219 0.893 0.105 0.883 0.828 0.993 0.445 0.796

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
CESM2_CMIP6
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
MPI-ESM1-2-HR_CMIP6
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 single-levels reanalysis mean_total_precipitation_rate 19790101-19790131

  History:
Thu Sep 19 18:28:17 2024: ncatted -a missing_value,R75p,d,, /g/data/xv83/users/bxn599/ACS/icclim_indices_acs/era5/indices/none/none/AUS-25/ECMWF/ERA5/historical/r1i1p1f1/none/none/climdex/R75p/v20240411/R75p_AUS-25_ERA5_historical_r1i1p1f1_ECMWF_none_none_mon_19850101-20141231.nc.tmp Wed Aug 28 15:15:54 2024: cdo -f nc4c -b f32 -z zip_1 --shuffle setmissval,1.e+20 /g/data/xv83/users/bxn599/ACS/icclim_indices_acs/era5/indices/none/none/AUS-25/ECMWF/ERA5/historical/r1i1p1f1/none/none/climdex/R75p/v20240411/R75p_AUS-25_ERA5_historical_r1i1p1f1_ECMWF_none_none_mon_19850101-20141231.nc /g/data/xv83/users/bxn599/ACS/icclim_indices_acs/era5/indices/none/none/AUS-25/ECMWF/ERA5/historical/r1i1p1f1/none/none/climdex/R75p/v20240411/R75p_AUS-25_ERA5_historical_r1i1p1f1_ECMWF_none_none_mon_19850101-20141231_compressed.nc Tue May 14 22:54:45 2024: /g/data/xv83/users/bxn599/miniconda3/envs/icclim/bin/python /g/data/xv83/users/bxn599/ACS/indices/run_icclim.py --slice_mode month --verbose --start_date 1985-01-01 --end_date 2014-12-31 --base_period 1985-01-01 2014-12-31 --input_files /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19790101-19790131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19790201-19790228.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19790301-19790331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19790401-19790430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19790501-19790531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19790601-19790630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19790701-19790731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19790801-19790831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19790901-19790930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19791001-19791031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19791101-19791130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19791201-19791231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19800101-19800131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19800201-19800229.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19800301-19800331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19800401-19800430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19800501-19800531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19800601-19800630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19800701-19800731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19800801-19800831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19800901-19800930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19801001-19801031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19801101-19801130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19801201-19801231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19810101-19810131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19810201-19810228.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19810301-19810331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19810401-19810430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19810501-19810531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19810601-19810630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19810701-19810731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19810801-19810831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19810901-19810930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19811001-19811031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19811101-19811130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19811201-19811231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19820101-19820131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19820201-19820228.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19820301-19820331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19820401-19820430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19820501-19820531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19820601-19820630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19820701-19820731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19820801-19820831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19820901-19820930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19821001-19821031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19821101-19821130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19821201-19821231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19830101-19830131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19830201-19830228.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19830301-19830331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19830401-19830430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19830501-19830531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19830601-19830630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19830701-19830731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19830801-19830831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19830901-19830930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19831001-19831031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19831101-19831130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19831201-19831231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19840101-19840131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19840201-19840229.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19840301-19840331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19840401-19840430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19840501-19840531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19840601-19840630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19840701-19840731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19840801-19840831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19840901-19840930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19841001-19841031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19841101-19841130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19841201-19841231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19850101-19850131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19850201-19850228.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19850301-19850331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19850401-19850430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19850501-19850531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19850601-19850630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19850701-19850731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19850801-19850831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19850901-19850930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19851001-19851031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19851101-19851130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19851201-19851231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19860101-19860131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19860201-19860228.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19860301-19860331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19860401-19860430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19860501-19860531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19860601-19860630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19860701-19860731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19860801-19860831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19860901-19860930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19861001-19861031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19861101-19861130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19861201-19861231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19870101-19870131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19870201-19870228.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19870301-19870331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19870401-19870430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19870501-19870531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19870601-19870630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19870701-19870731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19870801-19870831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19870901-19870930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19871001-19871031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19871101-19871130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19871201-19871231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19880101-19880131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19880201-19880229.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19880301-19880331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19880401-19880430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19880501-19880531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19880601-19880630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19880701-19880731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19880801-19880831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19880901-19880930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19881001-19881031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19881101-19881130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19881201-19881231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19890101-19890131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19890201-19890228.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19890301-19890331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19890401-19890430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19890501-19890531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19890601-19890630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19890701-19890731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19890801-19890831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19890901-19890930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19891001-19891031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19891101-19891130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19891201-19891231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19900101-19900131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19900201-19900228.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19900301-19900331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19900401-19900430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19900501-19900531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19900601-19900630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19900701-19900731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19900801-19900831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19900901-19900930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19901001-19901031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19901101-19901130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19901201-19901231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19910101-19910131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19910201-19910228.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19910301-19910331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19910401-19910430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19910501-19910531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19910601-19910630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19910701-19910731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19910801-19910831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19910901-19910930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19911001-19911031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19911101-19911130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19911201-19911231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19920101-19920131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19920201-19920229.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19920301-19920331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19920401-19920430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19920501-19920531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19920601-19920630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19920701-19920731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19920801-19920831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19920901-19920930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19921001-19921031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19921101-19921130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19921201-19921231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19930101-19930131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19930201-19930228.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19930301-19930331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19930401-19930430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19930501-19930531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19930601-19930630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19930701-19930731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19930801-19930831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19930901-19930930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19931001-19931031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19931101-19931130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19931201-19931231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19940101-19940131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19940201-19940228.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19940301-19940331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19940401-19940430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19940501-19940531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19940601-19940630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19940701-19940731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19940801-19940831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19940901-19940930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19941001-19941031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19941101-19941130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19941201-19941231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19950101-19950131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19950201-19950228.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19950301-19950331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19950401-19950430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19950501-19950531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19950601-19950630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19950701-19950731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19950801-19950831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19950901-19950930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19951001-19951031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19951101-19951130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19951201-19951231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19960101-19960131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19960201-19960229.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19960301-19960331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19960401-19960430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19960501-19960531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19960601-19960630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19960701-19960731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19960801-19960831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19960901-19960930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19961001-19961031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19961101-19961130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19961201-19961231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19970101-19970131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19970201-19970228.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19970301-19970331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19970401-19970430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19970501-19970531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19970601-19970630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19970701-19970731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19970801-19970831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19970901-19970930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19971001-19971031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19971101-19971130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19971201-19971231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19980101-19980131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19980201-19980228.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19980301-19980331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19980401-19980430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19980501-19980531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19980601-19980630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19980701-19980731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19980801-19980831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19980901-19980930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19981001-19981031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19981101-19981130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19981201-19981231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19990101-19990131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19990201-19990228.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19990301-19990331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19990401-19990430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19990501-19990531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19990601-19990630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19990701-19990731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19990801-19990831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19990901-19990930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19991001-19991031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19991101-19991130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_19991201-19991231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20000101-20000131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20000201-20000229.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20000301-20000331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20000401-20000430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20000501-20000531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20000601-20000630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20000701-20000731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20000801-20000831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20000901-20000930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20001001-20001031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20001101-20001130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20001201-20001231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20010101-20010131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20010201-20010228.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20010301-20010331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20010401-20010430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20010501-20010531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20010601-20010630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20010701-20010731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20010801-20010831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20010901-20010930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20011001-20011031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20011101-20011130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20011201-20011231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20020101-20020131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20020201-20020228.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20020301-20020331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20020401-20020430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20020501-20020531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20020601-20020630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20020701-20020731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20020801-20020831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20020901-20020930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20021001-20021031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20021101-20021130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20021201-20021231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20030101-20030131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20030201-20030228.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20030301-20030331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20030401-20030430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20030501-20030531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20030601-20030630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20030701-20030731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20030801-20030831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20030901-20030930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20031001-20031031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20031101-20031130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20031201-20031231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20040101-20040131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20040201-20040229.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20040301-20040331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20040401-20040430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20040501-20040531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20040601-20040630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20040701-20040731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20040801-20040831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20040901-20040930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20041001-20041031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20041101-20041130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20041201-20041231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20050101-20050131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20050201-20050228.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20050301-20050331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20050401-20050430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20050501-20050531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20050601-20050630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20050701-20050731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20050801-20050831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20050901-20050930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20051001-20051031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20051101-20051130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20051201-20051231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20060101-20060131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20060201-20060228.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20060301-20060331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20060401-20060430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20060501-20060531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20060601-20060630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20060701-20060731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20060801-20060831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20060901-20060930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20061001-20061031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20061101-20061130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20061201-20061231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20070101-20070131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20070201-20070228.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20070301-20070331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20070401-20070430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20070501-20070531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20070601-20070630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20070701-20070731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20070801-20070831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20070901-20070930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20071001-20071031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20071101-20071130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20071201-20071231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20080101-20080131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20080201-20080229.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20080301-20080331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20080401-20080430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20080501-20080531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20080601-20080630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20080701-20080731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20080801-20080831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20080901-20080930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20081001-20081031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20081101-20081130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20081201-20081231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20090101-20090131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20090201-20090228.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20090301-20090331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20090401-20090430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20090501-20090531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20090601-20090630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20090701-20090731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20090801-20090831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20090901-20090930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20091001-20091031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20091101-20091130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20091201-20091231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20100101-20100131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20100201-20100228.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20100301-20100331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20100401-20100430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20100501-20100531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20100601-20100630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20100701-20100731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20100801-20100831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20100901-20100930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20101001-20101031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20101101-20101130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20101201-20101231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20110101-20110131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20110201-20110228.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20110301-20110331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20110401-20110430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20110501-20110531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20110601-20110630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20110701-20110731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20110801-20110831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20110901-20110930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20111001-20111031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20111101-20111130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20111201-20111231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20120101-20120131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20120201-20120229.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20120301-20120331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20120401-20120430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20120501-20120531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20120601-20120630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20120701-20120731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20120801-20120831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20120901-20120930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20121001-20121031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20121101-20121130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20121201-20121231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20130101-20130131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20130201-20130228.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20130301-20130331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20130401-20130430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20130501-20130531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20130601-20130630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20130701-20130731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20130801-20130831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20130901-20130930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20131001-20131031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20131101-20131130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20131201-20131231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20140101-20140131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20140201-20140228.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20140301-20140331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20140401-20140430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20140501-20140531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20140601-20140630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20140701-20140731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20140801-20140831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20140901-20140930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20141001-20141031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20141101-20141130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20141201-20141231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20150101-20150131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20150201-20150228.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20150301-20150331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20150401-20150430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20150501-20150531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20150601-20150630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20150701-20150731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20150801-20150831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20150901-20150930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20151001-20151031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20151101-20151130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20151201-20151231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20160101-20160131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20160201-20160229.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20160301-20160331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20160401-20160430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20160501-20160531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20160601-20160630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20160701-20160731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20160801-20160831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20160901-20160930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20161001-20161031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20161101-20161130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20161201-20161231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20170101-20170131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20170201-20170228.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20170301-20170331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20170401-20170430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20170501-20170531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20170601-20170630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20170701-20170731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20170801-20170831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20170901-20170930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20171001-20171031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20171101-20171130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20171201-20171231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20180101-20180131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20180201-20180228.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20180301-20180331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20180401-20180430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20180501-20180531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20180601-20180630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20180701-20180731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20180801-20180831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20180901-20180930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20181001-20181031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20181101-20181130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20181201-20181231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20190101-20190131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20190201-20190228.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20190301-20190331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20190401-20190430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20190501-20190531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20190601-20190630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20190701-20190731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20190801-20190831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20190901-20190930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20191001-20191031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20191101-20191130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20191201-20191231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20200101-20200131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20200201-20200229.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20200301-20200331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20200401-20200430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20200501-20200531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20200601-20200630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20200701-20200731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20200801-20200831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20200901-20200930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20201001-20201031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20201101-20201130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20201201-20201231.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20210101-20210131.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20210201-20210228.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20210301-20210331.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20210401-20210430.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20210501-20210531.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20210601-20210630.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20210701-20210731.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20210801-20210831.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20210901-20210930.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20211001-20211031.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20211101-20211130.nc /g/data/xv83/users/bxn599/ACS/data/era5/raw/mtpr/mtpr_era5_oper_sfc_20211201-20211231.nc --variable mtpr --lat_bnds -54.0 14.0 --lon_bnds 88.0 208.0 --sub_daily_agg mean --hshift --drop_time_bounds R75p /g/data/xv83/users/bxn599/ACS/icclim_indices_acs/era5/indices/none/none/AUS-25/ECMWF/ERA5/historical/r1i1p1f1/none/none/climdex/R75p/v20240411/R75p_AUS-25_ERA5_historical_r1i1p1f1_ECMWF_none_none_mon_19850101-20141231.nc

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

  Conventions:
CF-1.6

  Cdi:
Climate Data Interface version 2.4.0 (https://mpimet.mpg.de/cdi)

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

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

  Icclim_version:
6.5.0

  Project_id:
indices

  Frequency:
climdex

  Variable_id:
R75p

  Cdo:
Climate Data Operators version 2.4.0 (https://mpimet.mpg.de/cdo)

  Nco:
netCDF Operators version 5.2.1 (Homepage = http://nco.sf.net, Code = http://github.com/nco/nco, Citation = 10.1016/j.envsoft.2008.03.004)