Mean State

Download Data
Period Mean (original grids) [mm d-1]
Model Period Mean (intersection) [mm d-1]
Benchmark Period Mean (intersection) [mm d-1]
Model Period Mean (complement) [mm d-1]
Benchmark Period Mean (complement) [mm d-1]
Bias [mm d-1]
RMSE [mm d-1]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 15.0
ACCESS-CM2_BARPA [-] 17.8 18.3 15.0 15.8 3.27 7.74 1.31 0.810 0.710 0.847 0.977 0.811
ACCESS-CM2_CCAM [-] 18.4 18.9 15.0 16.5 3.85 7.55 1.15 0.783 0.733 0.873 0.966 0.818
ACCESS-CM2_CMIP6 [-] 16.0 16.1 14.9 14.4 1.19 7.34 1.19 0.817 0.692 0.858 0.806 0.773
ACCESS-ESM1-5_BARPA [-] 16.5 17.1 15.0 14.0 2.11 6.77 1.06 0.840 0.727 0.887 0.952 0.826
ACCESS-ESM1-5_CCAM [-] 19.2 20.2 15.0 15.4 5.22 9.28 1.25 0.734 0.686 0.857 0.902 0.773
ACCESS-ESM1-5_CMIP6 [-] 15.7 15.9 14.7 13.4 1.24 7.27 1.17 0.839 0.678 0.872 0.941 0.802
CESM2_BARPA [-] 14.4 15.1 15.0 11.7 0.0631 5.91 1.22 0.883 0.744 0.866 0.987 0.845
CESM2_CCAM [-] 12.5 13.5 15.0 8.69 -1.47 7.06 1.67 0.862 0.712 0.804 0.971 0.812
CESM2_CMIP6 [-] 14.8 15.3 14.8 11.3 0.494 6.51 1.20 0.838 0.720 0.864 0.925 0.814
CMCC-ESM2_BARPA [-] 13.3 13.7 15.0 11.4 -1.25 6.76 1.79 0.880 0.715 0.784 0.983 0.815
CMCC-ESM2_CCAM [-] 19.3 19.8 15.0 17.7 4.74 8.40 1.45 0.755 0.710 0.833 0.963 0.794
CMCC-ESM2_CMIP6 [-] 14.1 14.2 14.8 13.0 -0.559 5.13 1.07 0.847 0.787 0.886 0.659 0.793
CNRM-ESM2-1_CCAM [-] 16.9 17.5 15.0 14.5 2.48 6.67 1.21 0.842 0.737 0.864 0.958 0.827
CNRM-ESM2-1_CMIP6 [-] 11.4 11.7 14.7 8.40 -2.93 6.32 1.16 0.825 0.736 0.877 0.922 0.819
EC-Earth3_BARPA [-] 13.0 13.9 15.0 9.39 -1.12 6.33 1.07 0.853 0.745 0.886 0.935 0.833
EC-Earth3_CCAM [-] 15.7 16.6 15.0 12.2 1.56 6.74 1.11 0.875 0.712 0.869 0.972 0.828
EC-Earth3_CMIP6 [-] 10.3 10.6 14.8 7.90 -4.21 6.29 0.974 0.773 0.778 0.884 0.765 0.796
ERA5_BARPA [-] 16.8 17.5 15.0 14.0 2.44 6.44 1.34 0.845 0.742 0.842 0.983 0.831
ERA5_CCAM [-] 18.0 19.0 15.1 14.1 3.92 6.95 1.14 0.792 0.750 0.869 0.975 0.827
MPI-ESM1-2-HR_BARPA [-] 12.8 13.4 15.0 10.5 -1.56 6.43 1.04 0.859 0.744 0.884 0.979 0.842
MPI-ESM1-2-HR_CMIP6 [-] 6.60 6.84 14.9 4.90 -8.09 9.94 1.47 0.621 0.735 0.824 0.672 0.717
NorESM2-MM_BARPA [-] 19.1 19.7 15.0 17.1 4.68 8.90 1.67 0.771 0.682 0.801 0.958 0.779
NorESM2-MM_CCAM [-] 20.6 21.1 15.0 18.9 6.11 8.95 1.20 0.713 0.732 0.861 0.958 0.799
NorESM2-MM_CMIP6 [-] 18.7 19.0 14.8 16.1 4.21 7.28 1.34 0.761 0.754 0.832 0.883 0.797
Download Data
Period Mean (original grids) [mm d-1]
Model Period Mean (intersection) [mm d-1]
Benchmark Period Mean (intersection) [mm d-1]
Model Period Mean (complement) [mm d-1]
Benchmark Period Mean (complement) [mm d-1]
Bias [mm d-1]
RMSE [mm d-1]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 19.5
ACCESS-CM2_BARPA [-] 23.4 23.4 19.5 3.85 6.21 1.09 0.782 0.761 0.891 0.894 0.824
ACCESS-CM2_CCAM [-] 25.7 25.7 19.5 6.18 8.43 1.03 0.686 0.711 0.890 0.959 0.800
ACCESS-CM2_CMIP6 [-] 23.4 23.4 19.3 4.10 6.14 1.00 0.756 0.732 0.916 0.767 0.786
ACCESS-ESM1-5_BARPA [-] 23.5 23.5 19.5 3.98 6.81 1.24 0.777 0.731 0.863 0.960 0.821
ACCESS-ESM1-5_CCAM [-] 29.4 29.4 19.5 9.88 12.5 1.18 0.549 0.634 0.865 0.889 0.723
ACCESS-ESM1-5_CMIP6 [-] 22.6 22.6 19.5 3.05 6.49 0.844 0.825 0.687 0.947 0.713 0.781
CESM2_BARPA [-] 21.5 21.5 19.5 1.92 5.74 1.16 0.862 0.734 0.859 0.985 0.846
CESM2_CCAM [-] 17.2 17.2 19.5 -2.28 5.52 0.951 0.855 0.753 0.911 0.959 0.857
CESM2_CMIP6 [-] 23.1 23.1 19.5 3.61 6.99 1.17 0.784 0.674 0.876 0.995 0.815
CMCC-ESM2_BARPA [-] 20.3 20.3 19.5 0.737 6.08 1.17 0.899 0.706 0.874 0.968 0.845
CMCC-ESM2_CCAM [-] 26.3 26.3 19.5 6.80 10.4 1.15 0.663 0.622 0.877 0.991 0.770
CMCC-ESM2_CMIP6 [-] 18.8 18.8 19.5 -0.693 4.52 0.608 0.923 0.751 0.954 0.945 0.877
CNRM-ESM2-1_CCAM [-] 22.0 22.0 19.5 2.48 6.06 1.01 0.851 0.724 0.908 0.978 0.850
CNRM-ESM2-1_CMIP6 [-] 18.0 18.0 19.5 -1.43 5.20 1.07 0.834 0.746 0.912 0.797 0.814
EC-Earth3_BARPA [-] 15.9 15.9 19.5 -3.59 5.58 0.993 0.800 0.788 0.908 0.995 0.863
EC-Earth3_CCAM [-] 20.1 20.1 19.5 0.585 7.56 1.26 0.898 0.640 0.854 0.931 0.810
EC-Earth3_CMIP6 [-] 12.9 12.9 19.5 -6.58 7.45 1.18 0.649 0.805 0.885 0.930 0.816
ERA5_BARPA [-] 22.4 22.4 19.6 2.80 6.42 1.60 0.825 0.719 0.788 0.991 0.818
ERA5_CCAM [-] 26.2 26.2 19.6 6.63 8.75 1.33 0.669 0.709 0.843 0.993 0.793
MPI-ESM1-2-HR_BARPA [-] 15.7 15.7 19.5 -3.86 5.73 0.943 0.789 0.784 0.901 0.960 0.850
MPI-ESM1-2-HR_CMIP6 [-] 10.8 10.8 19.6 -8.85 9.52 1.84 0.555 0.797 0.758 0.922 0.762
NorESM2-MM_BARPA [-] 25.0 25.0 19.5 5.46 9.13 1.68 0.716 0.652 0.778 0.874 0.744
NorESM2-MM_CCAM [-] 26.6 26.6 19.5 7.08 9.11 1.07 0.654 0.713 0.897 0.990 0.802
NorESM2-MM_CMIP6 [-] 25.8 25.8 19.5 6.29 8.22 2.16 0.660 0.705 0.677 0.711 0.690
Download Data
Period Mean (original grids) [mm d-1]
Model Period Mean (intersection) [mm d-1]
Benchmark Period Mean (intersection) [mm d-1]
Model Period Mean (complement) [mm d-1]
Benchmark Period Mean (complement) [mm d-1]
Bias [mm d-1]
RMSE [mm d-1]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 24.7
ACCESS-CM2_BARPA [-] 27.8 27.8 24.8 3.03 8.70 0.719 0.834 0.749 0.942 0.992 0.868
ACCESS-CM2_CCAM [-] 27.0 27.0 24.7 2.21 8.46 0.848 0.830 0.753 0.921 0.930 0.842
ACCESS-CM2_CMIP6 [-] 21.6 21.6 26.3 -4.63 8.63 0.482 0.803 0.742 0.950 0.685 0.766
ACCESS-ESM1-5_BARPA [-] 29.1 29.1 24.8 4.30 11.0 0.935 0.810 0.690 0.916 0.964 0.833
ACCESS-ESM1-5_CCAM [-] 34.0 34.0 24.7 9.23 12.9 1.04 0.688 0.707 0.892 0.971 0.804
ACCESS-ESM1-5_CMIP6 [-] 21.6 21.6 23.7 -2.01 6.88 0.602 0.884 0.726 0.951 0.762 0.778
CESM2_BARPA [-] 26.1 26.1 24.8 1.32 9.50 0.929 0.874 0.704 0.915 0.990 0.856
CESM2_CCAM [-] 24.6 24.6 24.7 -0.186 7.34 0.885 0.900 0.761 0.926 0.994 0.883
CESM2_CMIP6 [-] 23.6 23.6 24.4 -0.739 6.47 0.985 0.893 0.754 0.921 0.988 0.842
CMCC-ESM2_BARPA [-] 24.3 24.3 24.8 -0.474 9.34 1.12 0.864 0.710 0.886 0.966 0.841
CMCC-ESM2_CCAM [-] 27.4 27.4 24.7 2.65 9.02 1.04 0.835 0.729 0.893 0.991 0.837
CMCC-ESM2_CMIP6 [-] 18.8 18.8 24.4 -5.57 7.20 0.484 0.778 0.822 0.963 0.970 0.823
CNRM-ESM2-1_CCAM [-] 26.5 26.5 24.7 1.75 8.28 0.990 0.862 0.740 0.904 0.943 0.844
CNRM-ESM2-1_CMIP6 [-] 22.4 22.4 24.8 -2.45 6.69 1.11 0.864 0.762 0.911 0.971 0.863
EC-Earth3_BARPA [-] 24.6 24.6 24.8 -0.181 10.4 0.584 0.858 0.692 0.957 0.867 0.829
EC-Earth3_CCAM [-] 25.3 25.3 24.7 0.584 8.06 1.21 0.887 0.740 0.861 0.989 0.846
EC-Earth3_CMIP6 [-] 15.7 15.7 24.5 -8.85 9.72 0.740 0.672 0.837 0.943 0.817 0.813
ERA5_BARPA [-] 27.5 27.5 24.8 2.69 8.62 1.11 0.843 0.744 0.881 0.992 0.855
ERA5_CCAM [-] 30.4 30.4 24.8 5.61 8.98 0.965 0.787 0.769 0.901 0.929 0.839
MPI-ESM1-2-HR_BARPA [-] 18.8 18.8 24.8 -5.93 9.14 0.515 0.778 0.777 0.957 0.988 0.866
MPI-ESM1-2-HR_CMIP6 [-] 10.2 10.2 25.0 -14.9 16.0 0.598 0.515 0.775 0.958 0.892 0.744
NorESM2-MM_BARPA [-] 30.1 30.1 24.8 5.37 11.0 0.793 0.789 0.696 0.927 0.983 0.837
NorESM2-MM_CCAM [-] 27.3 27.3 24.7 2.57 8.56 0.739 0.817 0.761 0.933 0.535 0.768
NorESM2-MM_CMIP6 [-] 25.6 25.6 24.4 1.21 6.36 0.948 0.865 0.772 0.907 0.517 0.770
Download Data
Period Mean (original grids) [mm d-1]
Model Period Mean (intersection) [mm d-1]
Benchmark Period Mean (intersection) [mm d-1]
Model Period Mean (complement) [mm d-1]
Benchmark Period Mean (complement) [mm d-1]
Bias [mm d-1]
RMSE [mm d-1]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 18.7
ACCESS-CM2_BARPA [-] 22.6 22.4 18.8 24.8 3.60 11.5 0.970 0.843 0.681 0.917 0.914 0.837
ACCESS-CM2_CCAM [-] 22.0 21.8 18.8 25.0 2.98 8.67 0.669 0.851 0.761 0.946 0.989 0.866
ACCESS-CM2_CMIP6 [-] 18.2 18.2 19.6 -1.36 10.3 1.05 0.909 0.672 0.891 0.735 0.774
ACCESS-ESM1-5_BARPA [-] 21.9 21.8 18.8 23.3 2.98 9.57 0.597 0.855 0.727 0.957 0.976 0.869
ACCESS-ESM1-5_CCAM [-] 27.0 26.7 18.8 29.7 7.96 13.3 0.733 0.738 0.676 0.936 0.990 0.818
ACCESS-ESM1-5_CMIP6 [-] 19.4 19.4 19.2 0.208 8.90 0.671 0.918 0.705 0.958 0.923 0.833
CESM2_BARPA [-] 18.0 17.8 18.8 21.0 -0.997 7.57 0.637 0.910 0.765 0.951 0.989 0.891
CESM2_CCAM [-] 19.0 18.5 18.8 25.4 -0.298 9.96 0.875 0.891 0.701 0.925 0.752 0.818
CESM2_CMIP6 [-] 17.4 17.4 19.1 -1.65 7.36 0.952 0.915 0.758 0.908 0.742 0.807
CMCC-ESM2_BARPA [-] 15.4 15.3 18.8 17.3 -3.55 8.96 0.705 0.865 0.742 0.946 0.985 0.871
CMCC-ESM2_CCAM [-] 21.7 21.4 18.8 26.1 2.63 8.57 0.641 0.870 0.750 0.949 0.967 0.876
CMCC-ESM2_CMIP6 [-] 15.6 15.6 19.1 -3.44 6.63 0.529 0.865 0.806 0.965 0.634 0.811
CNRM-ESM2-1_CCAM [-] 20.9 20.7 18.8 23.4 1.93 7.91 0.701 0.886 0.764 0.939 0.959 0.875
CNRM-ESM2-1_CMIP6 [-] 12.0 12.0 19.3 -7.27 11.0 0.656 0.745 0.721 0.958 0.987 0.842
EC-Earth3_BARPA [-] 20.0 19.7 18.8 24.2 0.910 9.52 0.581 0.877 0.723 0.957 0.756 0.832
EC-Earth3_CCAM [-] 23.2 22.7 18.8 29.7 3.96 9.88 0.479 0.845 0.721 0.960 0.808 0.836
EC-Earth3_CMIP6 [-] 13.7 13.6 19.1 18.9 -5.47 7.90 0.392 0.806 0.805 0.972 0.843 0.829
ERA5_BARPA [-] 22.1 21.9 18.9 24.5 3.01 9.00 0.741 0.867 0.740 0.939 0.965 0.869
ERA5_CCAM [-] 24.1 23.8 18.9 27.8 4.97 9.38 0.518 0.824 0.746 0.958 0.968 0.863
MPI-ESM1-2-HR_BARPA [-] 18.3 17.9 18.8 23.5 -0.890 10.3 0.618 0.876 0.705 0.955 0.804 0.839
MPI-ESM1-2-HR_CMIP6 [-] 6.92 6.90 19.2 10.4 -12.3 15.8 0.719 0.611 0.678 0.952 0.751 0.733
NorESM2-MM_BARPA [-] 25.2 25.2 18.8 26.6 6.33 11.7 0.557 0.783 0.700 0.955 0.921 0.834
NorESM2-MM_CCAM [-] 24.8 24.6 18.8 27.6 5.77 9.18 0.476 0.800 0.773 0.963 0.990 0.871
NorESM2-MM_CMIP6 [-] 21.6 21.6 19.1 2.55 6.08 0.548 0.887 0.822 0.959 0.692 0.824
Download Data
Period Mean (original grids) [mm d-1]
Model Period Mean (intersection) [mm d-1]
Benchmark Period Mean (intersection) [mm d-1]
Model Period Mean (complement) [mm d-1]
Benchmark Period Mean (complement) [mm d-1]
Bias [mm d-1]
RMSE [mm d-1]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 14.7
ACCESS-CM2_BARPA [-] 17.8 17.8 14.7 3.10 5.35 2.71 0.754 0.720 0.571 0.958 0.747
ACCESS-CM2_CCAM [-] 19.6 19.6 14.7 4.89 6.77 2.09 0.663 0.689 0.686 0.993 0.750
ACCESS-CM2_CMIP6 [-] 18.8 18.8 14.9 3.91 7.17 2.61 0.646 0.621 0.616 0.917 0.691
ACCESS-ESM1-5_BARPA [-] 16.5 16.5 14.7 1.78 4.61 1.88 0.826 0.721 0.719 0.962 0.798
ACCESS-ESM1-5_CCAM [-] 19.0 19.0 14.7 4.30 7.15 2.19 0.694 0.632 0.662 0.980 0.730
ACCESS-ESM1-5_CMIP6 [-] 17.1 17.1 14.9 2.12 7.38 2.06 0.678 0.555 0.690 0.796 0.666
CESM2_BARPA [-] 16.3 16.3 14.7 1.53 4.65 1.74 0.838 0.714 0.747 0.963 0.804
CESM2_CCAM [-] 11.8 11.8 14.7 -2.92 4.74 2.14 0.773 0.738 0.674 0.952 0.779
CESM2_CMIP6 [-] 18.2 18.2 14.8 3.32 6.89 1.80 0.707 0.600 0.721 0.889 0.715
CMCC-ESM2_BARPA [-] 15.3 15.3 14.7 0.609 4.29 2.39 0.877 0.723 0.640 0.975 0.795
CMCC-ESM2_CCAM [-] 21.0 21.0 14.7 6.29 7.97 2.07 0.596 0.675 0.684 0.992 0.730
CMCC-ESM2_CMIP6 [-] 16.6 16.6 14.8 1.75 4.78 1.77 0.746 0.735 0.730 0.687 0.726
CNRM-ESM2-1_CCAM [-] 15.2 15.2 14.7 0.517 4.22 1.84 0.875 0.725 0.725 0.961 0.811
CNRM-ESM2-1_CMIP6 [-] 13.4 13.4 14.6 -1.22 3.45 1.64 0.854 0.753 0.767 0.930 0.818
EC-Earth3_BARPA [-] 12.9 12.9 14.7 -1.86 4.27 1.77 0.832 0.745 0.737 0.973 0.813
EC-Earth3_CCAM [-] 15.6 15.6 14.7 0.881 5.48 1.83 0.862 0.644 0.706 0.974 0.780
EC-Earth3_CMIP6 [-] 10.9 10.9 14.8 -3.94 5.68 1.98 0.691 0.710 0.677 0.624 0.679
ERA5_BARPA [-] 17.7 17.7 14.7 2.91 4.86 1.83 0.763 0.745 0.717 0.960 0.791
ERA5_CCAM [-] 19.3 19.3 14.7 4.60 5.99 1.69 0.678 0.742 0.735 0.993 0.782
MPI-ESM1-2-HR_BARPA [-] 14.0 14.0 14.7 -0.694 3.75 2.18 0.886 0.750 0.648 0.993 0.812
MPI-ESM1-2-HR_CMIP6 [-] 9.91 9.91 14.6 -4.64 5.65 4.27 0.643 0.760 0.268 0.805 0.634
NorESM2-MM_BARPA [-] 17.2 17.2 14.7 2.43 4.85 2.40 0.792 0.725 0.644 0.959 0.774
NorESM2-MM_CCAM [-] 20.4 20.4 14.7 5.72 7.38 2.11 0.624 0.699 0.638 0.987 0.733
NorESM2-MM_CMIP6 [-] 19.1 19.1 14.8 4.26 6.24 2.66 0.646 0.725 0.557 0.798 0.686
Download Data
Period Mean (original grids) [mm d-1]
Model Period Mean (intersection) [mm d-1]
Benchmark Period Mean (intersection) [mm d-1]
Model Period Mean (complement) [mm d-1]
Benchmark Period Mean (complement) [mm d-1]
Bias [mm d-1]
RMSE [mm d-1]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 11.2
ACCESS-CM2_BARPA [-] 15.0 14.9 11.2 15.3 3.70 6.50 1.10 0.794 0.731 0.878 0.994 0.822
ACCESS-CM2_CCAM [-] 16.0 16.1 11.2 15.9 4.87 7.26 1.13 0.741 0.730 0.881 0.945 0.823
ACCESS-CM2_CMIP6 [-] 14.3 14.3 11.3 14.4 2.91 6.14 0.969 0.816 0.714 0.898 0.988 0.839
ACCESS-ESM1-5_BARPA [-] 13.3 13.3 11.2 13.4 2.03 5.37 0.918 0.856 0.749 0.914 0.952 0.859
ACCESS-ESM1-5_CCAM [-] 15.3 15.7 11.2 14.3 4.52 7.78 1.23 0.737 0.704 0.861 0.647 0.769
ACCESS-ESM1-5_CMIP6 [-] 13.6 13.6 11.2 13.4 2.35 6.35 1.07 0.833 0.692 0.888 0.989 0.832
CESM2_BARPA [-] 11.5 11.6 11.2 11.1 0.400 4.97 1.23 0.896 0.752 0.865 0.989 0.859
CESM2_CCAM [-] 8.71 9.35 11.2 7.44 -1.88 6.37 2.06 0.870 0.694 0.708 0.989 0.796
CESM2_CMIP6 [-] 12.7 13.0 11.3 11.3 1.63 6.02 1.09 0.836 0.720 0.893 0.979 0.835
CMCC-ESM2_BARPA [-] 10.7 10.5 11.2 10.9 -0.693 6.13 2.18 0.911 0.692 0.690 0.896 0.773
CMCC-ESM2_CCAM [-] 17.1 17.0 11.2 17.1 5.81 8.44 1.62 0.696 0.694 0.799 0.988 0.783
CMCC-ESM2_CMIP6 [-] 12.7 12.7 11.3 13.0 1.36 4.19 1.15 0.884 0.791 0.875 0.770 0.825
CNRM-ESM2-1_CCAM [-] 14.6 14.9 11.2 13.9 3.71 6.46 1.13 0.801 0.730 0.877 0.908 0.818
CNRM-ESM2-1_CMIP6 [-] 9.33 9.50 11.3 8.40 -1.82 5.13 1.25 0.872 0.742 0.853 0.806 0.820
EC-Earth3_BARPA [-] 8.99 9.28 11.2 8.38 -1.95 4.66 1.02 0.862 0.787 0.899 0.971 0.873
EC-Earth3_CCAM [-] 11.7 12.1 11.2 10.9 0.838 5.36 1.05 0.904 0.731 0.887 0.962 0.863
EC-Earth3_CMIP6 [-] 8.19 8.34 11.3 7.70 -2.96 4.97 0.771 0.822 0.786 0.924 0.758 0.811
ERA5_BARPA [-] 13.5 13.6 11.3 13.3 2.32 5.40 1.39 0.858 0.749 0.835 0.991 0.837
ERA5_CCAM [-] 14.2 14.7 11.3 13.1 3.46 6.01 1.18 0.797 0.751 0.865 0.858 0.827
MPI-ESM1-2-HR_BARPA [-] 9.83 9.93 11.2 9.61 -1.31 4.89 0.870 0.884 0.768 0.913 0.923 0.845
MPI-ESM1-2-HR_CMIP6 [-] 5.17 5.26 11.4 4.84 -6.10 7.58 1.44 0.669 0.754 0.822 0.588 0.717
NorESM2-MM_BARPA [-] 16.1 16.0 11.2 16.4 4.76 8.44 2.14 0.749 0.658 0.697 0.912 0.752
NorESM2-MM_CCAM [-] 18.7 18.9 11.2 18.2 7.66 9.63 1.29 0.621 0.711 0.844 0.973 0.778
NorESM2-MM_CMIP6 [-] 17.1 17.3 11.3 16.1 6.01 8.10 1.35 0.681 0.726 0.831 0.963 0.790
Download Data
Period Mean (original grids) [mm d-1]
Model Period Mean (intersection) [mm d-1]
Benchmark Period Mean (intersection) [mm d-1]
Model Period Mean (complement) [mm d-1]
Benchmark Period Mean (complement) [mm d-1]
Bias [mm d-1]
RMSE [mm d-1]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 22.3
ACCESS-CM2_BARPA [-] 23.4 23.4 22.3 1.08 6.39 2.63 0.809 0.717 0.616 0.953 0.761
ACCESS-CM2_CCAM [-] 23.2 23.2 22.3 0.836 6.05 2.57 0.827 0.724 0.622 0.948 0.768
ACCESS-CM2_CMIP6 [-] 18.2 18.2 22.0 -3.76 6.63 2.89 0.732 0.696 0.544 0.783 0.643
ACCESS-ESM1-5_BARPA [-] 21.7 21.7 22.3 -0.626 6.32 2.06 0.798 0.720 0.702 0.950 0.782
ACCESS-ESM1-5_CCAM [-] 22.4 22.4 22.3 0.0998 6.65 2.27 0.846 0.686 0.668 0.980 0.786
ACCESS-ESM1-5_CMIP6 [-] 16.9 16.9 22.9 -5.92 8.99 2.61 0.653 0.661 0.568 0.510 0.689
CESM2_BARPA [-] 21.3 21.3 22.3 -1.05 5.76 2.03 0.819 0.743 0.689 0.988 0.807
CESM2_CCAM [-] 17.7 17.7 22.3 -4.66 6.97 2.22 0.737 0.737 0.679 0.963 0.755
CESM2_CMIP6 [-] 18.3 18.3 21.8 -3.49 6.46 3.07 0.754 0.706 0.487 0.757 0.646
CMCC-ESM2_BARPA [-] 21.5 21.5 22.3 -0.768 6.17 2.33 0.808 0.736 0.661 0.981 0.790
CMCC-ESM2_CCAM [-] 25.3 25.3 22.3 3.01 6.93 2.41 0.777 0.715 0.623 0.928 0.756
CMCC-ESM2_CMIP6 [-] 17.9 17.9 21.8 -3.88 5.69 2.83 0.727 0.770 0.546 0.674 0.653
CNRM-ESM2-1_CCAM [-] 20.8 20.8 22.3 -1.51 5.84 2.33 0.842 0.732 0.639 0.928 0.781
CNRM-ESM2-1_CMIP6 [-] 18.4 18.4 22.5 -4.12 5.72 2.16 0.685 0.772 0.668 0.957 0.680
EC-Earth3_BARPA [-] 21.7 21.7 22.3 -0.649 6.50 2.18 0.787 0.727 0.661 0.934 0.772
EC-Earth3_CCAM [-] 23.4 23.4 22.3 1.11 6.10 2.16 0.837 0.720 0.668 0.990 0.792
EC-Earth3_CMIP6 [-] 15.7 15.7 21.7 -5.96 7.58 3.06 0.639 0.727 0.482 0.717 0.637
ERA5_BARPA [-] 23.8 23.8 22.3 1.47 5.93 1.94 0.802 0.757 0.685 0.982 0.799
ERA5_CCAM [-] 23.8 23.8 22.4 1.42 5.58 2.00 0.788 0.783 0.693 0.940 0.807
MPI-ESM1-2-HR_BARPA [-] 21.1 21.1 22.3 -1.23 5.72 2.22 0.810 0.747 0.688 0.978 0.796
MPI-ESM1-2-HR_CMIP6 [-] 14.6 14.6 22.6 -7.92 8.57 2.36 0.539 0.793 0.651 0.752 0.609
NorESM2-MM_BARPA [-] 23.4 23.4 22.3 1.11 6.25 2.14 0.802 0.731 0.683 0.955 0.780
NorESM2-MM_CCAM [-] 21.3 21.3 22.3 -0.993 6.23 2.18 0.797 0.735 0.682 0.910 0.768
NorESM2-MM_CMIP6 [-] 19.5 19.5 21.8 -2.30 5.63 3.07 0.779 0.733 0.494 0.495 0.669
Download Data
Period Mean (original grids) [mm d-1]
Model Period Mean (intersection) [mm d-1]
Benchmark Period Mean (intersection) [mm d-1]
Model Period Mean (complement) [mm d-1]
Benchmark Period Mean (complement) [mm d-1]
Bias [mm d-1]
RMSE [mm d-1]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 12.2
ACCESS-CM2_BARPA [-] 13.5 13.5 12.1 13.2 1.37 5.59 2.42 0.834 0.631 0.631 0.837 0.721
ACCESS-CM2_CCAM [-] 13.7 13.7 12.2 12.9 1.53 4.16 1.44 0.853 0.722 0.811 0.911 0.798
ACCESS-CM2_CMIP6 [-] 11.8 11.8 11.7 0.0945 5.32 2.20 0.849 0.585 0.656 0.886 0.723
ACCESS-ESM1-5_BARPA [-] 11.2 11.2 12.1 11.4 -0.909 4.29 2.08 0.857 0.707 0.714 0.755 0.752
ACCESS-ESM1-5_CCAM [-] 11.2 11.2 12.2 10.1 -0.945 3.99 1.75 0.860 0.728 0.757 0.887 0.777
ACCESS-ESM1-5_CMIP6 [-] 10.6 10.6 12.3 -1.70 6.38 3.06 0.798 0.559 0.499 0.905 0.633
CESM2_BARPA [-] 10.8 10.8 12.1 9.80 -1.37 3.89 2.27 0.858 0.734 0.661 0.852 0.770
CESM2_CCAM [-] 10.8 10.9 12.2 8.85 -1.31 4.51 1.94 0.870 0.693 0.736 0.978 0.798
CESM2_CMIP6 [-] 10.2 10.2 12.2 -2.02 4.76 1.80 0.747 0.695 0.780 0.960 0.728
CMCC-ESM2_BARPA [-] 11.0 11.0 12.1 10.3 -1.11 4.34 2.62 0.868 0.698 0.582 0.794 0.736
CMCC-ESM2_CCAM [-] 16.2 16.2 12.2 16.3 4.05 5.90 2.27 0.703 0.700 0.668 0.892 0.726
CMCC-ESM2_CMIP6 [-] 11.2 11.2 12.2 -1.01 3.59 1.50 0.839 0.752 0.808 0.446 0.719
CNRM-ESM2-1_CCAM [-] 14.4 14.4 12.2 13.8 2.24 5.13 2.41 0.814 0.676 0.643 0.903 0.742
CNRM-ESM2-1_CMIP6 [-] 11.6 11.6 11.9 -0.272 3.77 1.21 0.889 0.701 0.843 0.981 0.800
EC-Earth3_BARPA [-] 11.2 11.2 12.1 9.09 -0.950 4.55 2.13 0.853 0.696 0.692 0.976 0.786
EC-Earth3_CCAM [-] 13.6 13.6 12.2 11.3 1.45 4.82 1.95 0.848 0.676 0.724 0.970 0.789
EC-Earth3_CMIP6 [-] 9.89 9.89 12.0 -2.15 5.22 2.49 0.805 0.640 0.612 0.921 0.699
ERA5_BARPA [-] 13.4 13.4 12.1 12.8 1.31 3.87 1.94 0.844 0.745 0.721 0.889 0.786
ERA5_CCAM [-] 13.4 13.4 12.1 12.0 1.26 3.51 1.76 0.866 0.768 0.753 0.937 0.805
MPI-ESM1-2-HR_BARPA [-] 10.8 10.8 12.1 9.68 -1.29 4.11 2.32 0.865 0.715 0.653 0.876 0.770
MPI-ESM1-2-HR_CMIP6 [-] 6.60 6.60 12.0 -5.43 6.24 1.54 0.584 0.751 0.785 0.502 0.675
NorESM2-MM_BARPA [-] 14.0 14.0 12.1 14.1 1.86 5.28 1.58 0.803 0.668 0.807 0.899 0.777
NorESM2-MM_CCAM [-] 14.4 14.4 12.2 16.1 2.20 5.37 1.83 0.769 0.691 0.754 0.862 0.717
NorESM2-MM_CMIP6 [-] 12.5 12.5 12.2 0.286 4.59 1.56 0.816 0.691 0.810 0.833 0.676
Download Data
Period Mean (original grids) [mm d-1]
Model Period Mean (intersection) [mm d-1]
Benchmark Period Mean (intersection) [mm d-1]
Model Period Mean (complement) [mm d-1]
Benchmark Period Mean (complement) [mm d-1]
Bias [mm d-1]
RMSE [mm d-1]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 28.2
ACCESS-CM2_BARPA [-] 28.3 28.7 28.3 23.3 0.395 18.8 1.03 0.806 0.637 0.905 0.630 0.733
ACCESS-CM2_CCAM [-] 25.8 25.9 28.2 24.0 -2.30 15.0 0.945 0.846 0.693 0.916 0.495 0.733
ACCESS-CM2_CMIP6 [-] 17.6 17.6 27.1 -9.47 17.6 0.988 0.731 0.649 0.917 0.659 0.729
ACCESS-ESM1-5_BARPA [-] 29.2 29.7 28.3 22.5 1.41 17.5 0.771 0.812 0.654 0.938 0.612 0.743
ACCESS-ESM1-5_CCAM [-] 34.4 34.6 28.2 32.0 6.36 17.7 0.694 0.805 0.655 0.943 0.740 0.771
ACCESS-ESM1-5_CMIP6 [-] 20.4 20.4 26.4 -5.99 14.6 1.23 0.823 0.658 0.884 0.300 0.665
CESM2_BARPA [-] 24.3 24.6 28.3 21.2 -3.71 13.5 0.772 0.838 0.728 0.942 0.950 0.849
CESM2_CCAM [-] 31.0 31.3 28.2 28.7 3.03 13.5 0.806 0.839 0.725 0.917 0.785 0.806
CESM2_CMIP6 [-] 19.3 19.3 26.2 -6.93 12.7 1.32 0.803 0.726 0.831 0.0630 0.619
CMCC-ESM2_BARPA [-] 22.2 22.4 28.3 19.3 -5.88 12.2 0.822 0.819 0.766 0.926 0.951 0.854
CMCC-ESM2_CCAM [-] 29.8 29.9 28.2 29.0 1.62 11.5 0.673 0.857 0.770 0.945 0.704 0.814
CMCC-ESM2_CMIP6 [-] 14.4 14.4 26.2 -11.9 15.6 0.772 0.683 0.729 0.918 0.155 0.633
CNRM-ESM2-1_CCAM [-] 23.9 24.1 28.2 21.1 -4.11 11.7 0.863 0.851 0.761 0.926 0.831 0.833
CNRM-ESM2-1_CMIP6 [-] 13.0 13.0 25.1 -12.2 17.6 0.657 0.672 0.665 0.955 0.579 0.712
EC-Earth3_BARPA [-] 31.5 31.7 28.3 28.7 3.41 18.1 0.780 0.815 0.643 0.918 0.790 0.775
EC-Earth3_CCAM [-] 31.7 31.8 28.2 30.8 3.54 13.6 0.797 0.850 0.721 0.920 0.874 0.828
EC-Earth3_CMIP6 [-] 15.1 15.1 26.7 -11.5 16.0 0.893 0.703 0.721 0.924 0.499 0.713
ERA5_BARPA [-] 30.9 31.0 28.3 28.4 2.71 14.8 1.19 0.821 0.702 0.872 0.820 0.792
ERA5_CCAM [-] 32.3 32.5 28.3 29.8 4.20 12.6 0.825 0.845 0.748 0.919 0.852 0.831
MPI-ESM1-2-HR_BARPA [-] 26.5 26.9 28.3 22.4 -1.41 16.9 0.626 0.816 0.676 0.951 0.700 0.773
MPI-ESM1-2-HR_CMIP6 [-] 8.27 8.27 27.2 -18.9 24.3 0.589 0.565 0.635 0.959 0.832 0.735
NorESM2-MM_BARPA [-] 34.2 34.4 28.3 31.6 6.16 16.6 0.757 0.804 0.677 0.934 0.828 0.796
NorESM2-MM_CCAM [-] 34.8 34.9 28.2 34.0 6.69 14.0 0.798 0.798 0.749 0.918 0.727 0.793
NorESM2-MM_CMIP6 [-] 23.7 23.7 26.2 -2.52 9.24 1.01 0.863 0.778 0.918 0.0550 0.667
Download Data
Period Mean (original grids) [mm d-1]
Model Period Mean (intersection) [mm d-1]
Benchmark Period Mean (intersection) [mm d-1]
Model Period Mean (complement) [mm d-1]
Benchmark Period Mean (complement) [mm d-1]
Bias [mm d-1]
RMSE [mm d-1]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 16.5
ACCESS-CM2_BARPA [-] 21.7 19.5 16.6 23.5 2.88 8.47 1.34 0.810 0.705 0.845 0.977 0.808
ACCESS-CM2_CCAM [-] 19.4 18.9 16.6 19.8 2.34 8.14 1.23 0.785 0.729 0.847 0.830 0.784
ACCESS-CM2_CMIP6 [-] 19.0 17.2 17.8 21.0 -0.577 8.87 1.26 0.803 0.690 0.844 0.703 0.746
ACCESS-ESM1-5_BARPA [-] 19.4 18.2 16.6 20.3 1.56 7.33 1.10 0.836 0.726 0.883 0.974 0.829
ACCESS-ESM1-5_CCAM [-] 20.8 20.4 16.6 21.0 3.82 9.42 1.31 0.759 0.693 0.844 0.967 0.791
ACCESS-ESM1-5_CMIP6 [-] 18.4 17.1 17.3 19.9 -0.131 8.52 1.27 0.809 0.687 0.855 0.880 0.784
CESM2_BARPA [-] 18.2 16.3 16.6 19.7 -0.306 6.50 1.27 0.869 0.746 0.860 0.978 0.840
CESM2_CCAM [-] 19.0 14.8 16.6 22.4 -1.76 7.56 1.59 0.846 0.720 0.820 0.979 0.817
CESM2_CMIP6 [-] 15.9 15.7 17.3 16.2 -1.59 7.80 1.32 0.795 0.726 0.849 0.717 0.763
CMCC-ESM2_BARPA [-] 17.5 15.0 16.6 19.6 -1.63 7.28 1.73 0.861 0.724 0.800 0.962 0.814
CMCC-ESM2_CCAM [-] 21.7 20.2 16.6 22.8 3.65 8.51 1.49 0.766 0.724 0.824 0.855 0.778
CMCC-ESM2_CMIP6 [-] 15.1 14.6 17.3 15.6 -2.75 6.95 1.17 0.787 0.773 0.870 0.463 0.733
CNRM-ESM2-1_CCAM [-] 18.1 17.7 16.6 18.5 1.10 7.37 1.29 0.821 0.736 0.847 0.796 0.787
CNRM-ESM2-1_CMIP6 [-] 15.6 13.4 17.5 18.4 -4.16 7.56 1.11 0.786 0.746 0.888 0.767 0.787
EC-Earth3_BARPA [-] 19.5 16.0 16.6 22.4 -0.671 7.22 1.10 0.846 0.731 0.879 0.955 0.828
EC-Earth3_CCAM [-] 20.0 17.6 16.6 22.0 0.963 7.18 1.21 0.865 0.719 0.843 0.975 0.824
EC-Earth3_CMIP6 [-] 13.4 11.8 17.0 15.0 -5.23 7.53 1.08 0.748 0.774 0.863 0.638 0.759
ERA5_BARPA [-] 20.7 18.9 16.7 22.2 2.23 6.82 1.34 0.841 0.748 0.841 0.984 0.833
ERA5_CCAM [-] 19.8 19.4 16.6 20.2 2.81 7.08 1.23 0.804 0.758 0.850 0.968 0.828
MPI-ESM1-2-HR_BARPA [-] 17.3 15.1 16.6 19.1 -1.53 7.40 1.04 0.844 0.733 0.885 0.974 0.834
MPI-ESM1-2-HR_CMIP6 [-] 11.4 8.51 17.4 14.3 -8.86 11.0 1.37 0.628 0.741 0.844 0.656 0.722
NorESM2-MM_BARPA [-] 24.2 21.2 16.6 26.6 4.59 9.27 1.61 0.779 0.693 0.814 0.971 0.790
NorESM2-MM_CCAM [-] 20.7 21.0 16.6 20.5 4.41 9.09 1.28 0.730 0.737 0.846 0.816 0.773
NorESM2-MM_CMIP6 [-] 19.6 19.3 17.3 19.9 2.01 7.92 1.45 0.765 0.752 0.812 0.658 0.748
Download Data
Period Mean (original grids) [mm d-1]
Model Period Mean (intersection) [mm d-1]
Benchmark Period Mean (intersection) [mm d-1]
Model Period Mean (complement) [mm d-1]
Benchmark Period Mean (complement) [mm d-1]
Bias [mm d-1]
RMSE [mm d-1]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 25.6
ACCESS-CM2_BARPA [-] 33.1 28.8 25.8 34.1 3.01 17.9 1.05 0.836 0.620 0.902 0.807 0.757
ACCESS-CM2_CCAM [-] 24.8 24.3 25.8 24.9 -1.52 14.0 0.990 0.865 0.683 0.909 0.916 0.811
ACCESS-CM2_CMIP6 [-] 26.6 22.4 26.7 28.0 -4.30 18.5 1.28 0.867 0.592 0.860 0.984 0.779
ACCESS-ESM1-5_BARPA [-] 26.9 27.0 25.8 26.9 1.14 14.5 0.863 0.861 0.676 0.932 0.924 0.814
ACCESS-ESM1-5_CCAM [-] 28.7 30.0 25.8 28.4 4.22 17.2 1.00 0.836 0.631 0.900 0.955 0.790
ACCESS-ESM1-5_CMIP6 [-] 29.1 29.3 27.3 29.1 2.06 19.0 0.749 0.851 0.597 0.948 0.809 0.760
CESM2_BARPA [-] 27.6 25.3 25.8 28.2 -0.582 12.6 0.725 0.883 0.714 0.941 0.983 0.847
CESM2_CCAM [-] 36.8 31.3 25.8 38.0 5.52 16.4 0.881 0.829 0.645 0.918 0.941 0.795
CESM2_CMIP6 [-] 20.2 20.5 26.3 20.1 -5.71 12.1 0.911 0.842 0.730 0.901 0.251 0.691
CMCC-ESM2_BARPA [-] 25.4 19.8 25.8 26.6 -6.07 12.5 0.828 0.825 0.741 0.931 0.979 0.843
CMCC-ESM2_CCAM [-] 27.7 25.4 25.8 28.2 -0.368 10.2 0.809 0.869 0.773 0.927 0.985 0.865
CMCC-ESM2_CMIP6 [-] 17.5 15.6 26.3 18.1 -10.7 15.3 0.762 0.725 0.721 0.933 0.492 0.718
CNRM-ESM2-1_CCAM [-] 21.1 21.4 25.8 21.0 -4.38 11.7 0.890 0.839 0.747 0.926 0.903 0.832
CNRM-ESM2-1_CMIP6 [-] 21.0 15.9 26.1 23.1 -10.2 15.2 0.738 0.730 0.713 0.950 0.988 0.819
EC-Earth3_BARPA [-] 32.6 30.6 25.8 33.0 4.80 17.8 0.626 0.824 0.628 0.939 0.827 0.769
EC-Earth3_CCAM [-] 31.0 30.5 25.8 31.2 4.66 14.7 0.823 0.832 0.685 0.904 0.986 0.818
EC-Earth3_CMIP6 [-] 18.9 17.3 26.5 19.4 -9.24 13.6 0.632 0.760 0.752 0.939 0.900 0.821
ERA5_BARPA [-] 29.7 29.2 25.9 29.8 3.29 13.0 0.887 0.845 0.717 0.919 0.939 0.827
ERA5_CCAM [-] 26.8 29.3 25.9 26.3 3.43 11.7 0.723 0.850 0.743 0.927 0.967 0.846
MPI-ESM1-2-HR_BARPA [-] 28.3 28.6 25.8 28.3 2.74 18.2 0.772 0.836 0.620 0.940 0.792 0.761
MPI-ESM1-2-HR_CMIP6 [-] 17.7 13.1 26.8 19.3 -13.7 19.3 0.693 0.672 0.677 0.950 0.933 0.782
NorESM2-MM_BARPA [-] 38.2 33.0 25.8 39.3 7.13 15.5 0.672 0.796 0.689 0.933 0.843 0.790
NorESM2-MM_CCAM [-] 27.3 27.9 25.8 27.1 2.11 10.6 0.812 0.861 0.769 0.912 0.978 0.858
NorESM2-MM_CMIP6 [-] 25.9 24.6 26.3 26.4 -1.62 8.68 0.803 0.923 0.783 0.920 0.440 0.770
Download Data
Period Mean (original grids) [mm d-1]
Model Period Mean (intersection) [mm d-1]
Benchmark Period Mean (intersection) [mm d-1]
Model Period Mean (complement) [mm d-1]
Benchmark Period Mean (complement) [mm d-1]
Bias [mm d-1]
RMSE [mm d-1]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 19.5
ACCESS-CM2_BARPA [-] 23.4 23.4 19.5 3.85 6.21 1.09 0.782 0.761 0.891 0.894 0.818
ACCESS-CM2_CCAM [-] 25.7 25.7 19.5 6.18 8.43 1.03 0.686 0.711 0.890 0.959 0.791
ACCESS-CM2_CMIP6 [-] 23.4 23.4 19.3 4.10 6.14 1.00 0.756 0.732 0.916 0.767 0.781
ACCESS-ESM1-5_BARPA [-] 23.5 23.5 19.5 3.98 6.81 1.24 0.777 0.731 0.863 0.960 0.812
ACCESS-ESM1-5_CCAM [-] 29.4 29.4 19.5 9.88 12.5 1.18 0.549 0.634 0.865 0.889 0.714
ACCESS-ESM1-5_CMIP6 [-] 22.6 22.6 19.5 3.05 6.49 0.844 0.825 0.687 0.947 0.713 0.772
CESM2_BARPA [-] 21.5 21.5 19.5 1.92 5.74 1.16 0.862 0.734 0.859 0.985 0.835
CESM2_CCAM [-] 17.2 17.2 19.5 -2.28 5.52 0.951 0.855 0.753 0.911 0.959 0.846
CESM2_CMIP6 [-] 23.1 23.1 19.5 3.61 6.99 1.17 0.784 0.674 0.876 0.995 0.800
CMCC-ESM2_BARPA [-] 20.3 20.3 19.5 0.737 6.08 1.17 0.899 0.706 0.874 0.968 0.831
CMCC-ESM2_CCAM [-] 26.3 26.3 19.5 6.80 10.4 1.15 0.663 0.622 0.877 0.991 0.755
CMCC-ESM2_CMIP6 [-] 18.8 18.8 19.5 -0.693 4.52 0.608 0.923 0.751 0.954 0.945 0.865
CNRM-ESM2-1_CCAM [-] 22.0 22.0 19.5 2.48 6.06 1.01 0.851 0.724 0.908 0.978 0.837
CNRM-ESM2-1_CMIP6 [-] 18.0 18.0 19.5 -1.43 5.20 1.07 0.834 0.746 0.912 0.797 0.807
EC-Earth3_BARPA [-] 15.9 15.9 19.5 -3.59 5.58 0.993 0.800 0.788 0.908 0.995 0.856
EC-Earth3_CCAM [-] 20.1 20.1 19.5 0.585 7.56 1.26 0.898 0.640 0.854 0.931 0.793
EC-Earth3_CMIP6 [-] 12.9 12.9 19.5 -6.58 7.45 1.18 0.649 0.805 0.885 0.930 0.815
ERA5_BARPA [-] 22.4 22.4 19.6 2.80 6.42 1.60 0.825 0.719 0.788 0.991 0.808
ERA5_CCAM [-] 26.2 26.2 19.6 6.63 8.75 1.33 0.669 0.709 0.843 0.993 0.785
MPI-ESM1-2-HR_BARPA [-] 15.7 15.7 19.5 -3.86 5.73 0.943 0.789 0.784 0.901 0.960 0.844
MPI-ESM1-2-HR_CMIP6 [-] 10.8 10.8 19.6 -8.85 9.52 1.84 0.555 0.797 0.758 0.922 0.766
NorESM2-MM_BARPA [-] 25.0 25.0 19.5 5.46 9.13 1.68 0.716 0.652 0.778 0.874 0.735
NorESM2-MM_CCAM [-] 26.6 26.6 19.5 7.08 9.11 1.07 0.654 0.713 0.897 0.990 0.793
NorESM2-MM_CMIP6 [-] 25.8 25.8 19.5 6.29 8.22 2.16 0.660 0.705 0.677 0.711 0.691
Download Data
Period Mean (original grids) [mm d-1]
Model Period Mean (intersection) [mm d-1]
Benchmark Period Mean (intersection) [mm d-1]
Model Period Mean (complement) [mm d-1]
Benchmark Period Mean (complement) [mm d-1]
Bias [mm d-1]
RMSE [mm d-1]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 23.6
ACCESS-CM2_BARPA [-] 27.2 27.2 23.6 3.67 8.34 0.731 0.830 0.766 0.937 0.993 0.858
ACCESS-CM2_CCAM [-] 25.5 25.5 23.6 1.97 7.98 0.786 0.839 0.765 0.928 0.912 0.842
ACCESS-CM2_CMIP6 [-] 20.9 20.9 25.3 -4.38 8.61 0.0979 0.808 0.747 0.995 0.694 0.798
ACCESS-ESM1-5_BARPA [-] 28.9 28.9 23.6 5.38 11.6 0.982 0.793 0.675 0.908 0.931 0.796
ACCESS-ESM1-5_CCAM [-] 33.1 33.1 23.6 9.55 12.8 0.806 0.677 0.722 0.929 0.954 0.801
ACCESS-ESM1-5_CMIP6 [-] 20.8 20.8 22.8 -2.04 6.95 0.436 0.895 0.738 0.972 0.684 0.805
CESM2_BARPA [-] 25.2 25.2 23.6 1.61 9.20 0.873 0.879 0.712 0.923 0.989 0.843
CESM2_CCAM [-] 23.6 23.6 23.6 0.0460 7.05 0.869 0.928 0.761 0.926 0.994 0.874
CESM2_CMIP6 [-] 21.7 21.7 23.1 -1.40 6.31 0.985 0.904 0.763 0.918 0.978 0.865
CMCC-ESM2_BARPA [-] 23.1 23.1 23.6 -0.435 8.67 0.953 0.868 0.731 0.911 0.938 0.836
CMCC-ESM2_CCAM [-] 24.6 24.6 23.6 1.06 7.69 0.996 0.876 0.757 0.900 0.956 0.849
CMCC-ESM2_CMIP6 [-] 16.7 16.7 23.1 -6.43 7.30 0.288 0.744 0.859 0.980 0.808 0.850
CNRM-ESM2-1_CCAM [-] 25.1 25.1 23.6 1.51 7.63 0.900 0.876 0.756 0.918 0.846 0.831
CNRM-ESM2-1_CMIP6 [-] 21.0 21.0 23.6 -2.59 6.88 1.16 0.870 0.757 0.898 0.977 0.852
EC-Earth3_BARPA [-] 23.3 23.3 23.6 -0.310 10.3 0.620 0.882 0.682 0.953 0.874 0.815
EC-Earth3_CCAM [-] 23.0 23.0 23.6 -0.552 7.50 1.09 0.910 0.750 0.890 0.895 0.839
EC-Earth3_CMIP6 [-] 14.7 14.7 23.2 -8.43 9.19 0.734 0.684 0.852 0.938 0.862 0.837
ERA5_BARPA [-] 27.3 27.3 23.6 3.69 8.66 1.05 0.836 0.744 0.892 0.991 0.842
ERA5_CCAM [-] 29.3 29.3 23.6 5.71 9.06 0.984 0.785 0.766 0.904 0.894 0.823
MPI-ESM1-2-HR_BARPA [-] 17.1 17.1 23.6 -6.51 9.44 0.581 0.767 0.776 0.951 0.970 0.848
MPI-ESM1-2-HR_CMIP6 [-] 8.03 8.03 23.7 -15.7 16.8 0.608 0.496 0.763 0.955 0.532 0.702
NorESM2-MM_BARPA [-] 30.2 30.2 23.6 6.61 11.6 0.703 0.759 0.690 0.944 0.970 0.811
NorESM2-MM_CCAM [-] 27.4 27.4 23.6 3.79 8.68 0.783 0.814 0.758 0.931 0.530 0.758
NorESM2-MM_CMIP6 [-] 25.2 25.2 23.1 2.11 6.07 0.640 0.863 0.788 0.954 0.538 0.786
Download Data
Period Mean (original grids) [mm d-1]
Model Period Mean (intersection) [mm d-1]
Benchmark Period Mean (intersection) [mm d-1]
Model Period Mean (complement) [mm d-1]
Benchmark Period Mean (complement) [mm d-1]
Bias [mm d-1]
RMSE [mm d-1]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 27.1
ACCESS-CM2_BARPA [-] 29.0 29.0 27.3 1.69 9.48 0.696 0.841 0.718 0.949 0.991 0.843
ACCESS-CM2_CCAM [-] 29.9 29.9 27.2 2.71 9.48 0.979 0.814 0.730 0.908 0.870 0.810
ACCESS-CM2_CMIP6 [-] 23.5 23.5 28.8 -5.30 8.71 1.50 0.790 0.729 0.846 0.430 0.704
ACCESS-ESM1-5_BARPA [-] 29.3 29.3 27.3 2.02 9.61 0.836 0.842 0.716 0.931 0.967 0.834
ACCESS-ESM1-5_CCAM [-] 35.8 35.8 27.2 8.57 13.3 1.53 0.710 0.678 0.825 0.989 0.776
ACCESS-ESM1-5_CMIP6 [-] 23.7 23.7 25.6 -1.92 6.71 0.999 0.860 0.700 0.906 0.309 0.695
CESM2_BARPA [-] 28.0 28.0 27.3 0.715 10.1 1.05 0.865 0.690 0.901 0.983 0.826
CESM2_CCAM [-] 26.5 26.5 27.2 -0.678 7.94 0.920 0.848 0.762 0.926 0.991 0.858
CESM2_CMIP6 [-] 27.4 27.4 26.8 0.601 6.79 0.985 0.874 0.737 0.926 0.534 0.762
CMCC-ESM2_BARPA [-] 26.7 26.7 27.3 -0.554 10.7 1.49 0.856 0.670 0.841 0.984 0.804
CMCC-ESM2_CCAM [-] 33.2 33.2 27.2 6.00 11.8 1.13 0.760 0.679 0.881 0.897 0.779
CMCC-ESM2_CMIP6 [-] 23.0 23.0 26.8 -3.85 7.01 0.879 0.837 0.757 0.934 0.426 0.742
CNRM-ESM2-1_CCAM [-] 29.5 29.5 27.2 2.26 9.66 1.18 0.836 0.712 0.879 0.962 0.820
CNRM-ESM2-1_CMIP6 [-] 25.6 25.6 27.7 -2.12 6.25 0.983 0.851 0.772 0.937 0.882 0.843
EC-Earth3_BARPA [-] 27.4 27.4 27.3 0.0909 10.5 0.509 0.815 0.712 0.963 0.828 0.806
EC-Earth3_CCAM [-] 30.2 30.2 27.2 2.99 9.26 1.46 0.845 0.721 0.809 0.956 0.810
EC-Earth3_CMIP6 [-] 17.8 17.8 27.5 -9.73 10.9 0.751 0.650 0.810 0.951 0.720 0.788
ERA5_BARPA [-] 27.9 27.9 27.3 0.589 8.53 1.25 0.854 0.743 0.862 0.991 0.839
ERA5_CCAM [-] 32.7 32.7 27.3 5.40 8.81 0.925 0.791 0.775 0.896 0.947 0.837
MPI-ESM1-2-HR_BARPA [-] 22.6 22.6 27.3 -4.70 8.52 0.377 0.799 0.779 0.968 0.977 0.860
MPI-ESM1-2-HR_CMIP6 [-] 14.5 14.5 27.7 -13.2 14.1 0.576 0.548 0.797 0.964 0.703 0.762
NorESM2-MM_BARPA [-] 30.0 30.0 27.3 2.74 9.80 0.985 0.843 0.708 0.896 0.977 0.827
NorESM2-MM_CCAM [-] 27.2 27.2 27.2 -0.00690 8.30 0.646 0.822 0.767 0.937 0.613 0.781
NorESM2-MM_CMIP6 [-] 26.2 26.2 26.8 -0.598 6.96 1.57 0.868 0.743 0.826 0.592 0.754
Download Data
Period Mean (original grids) [mm d-1]
Model Period Mean (intersection) [mm d-1]
Benchmark Period Mean (intersection) [mm d-1]
Model Period Mean (complement) [mm d-1]
Benchmark Period Mean (complement) [mm d-1]
Bias [mm d-1]
RMSE [mm d-1]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 18.1
ACCESS-CM2_BARPA [-] 19.3 19.3 18.1 22.6 1.18 9.84 1.06 0.897 0.693 0.906 0.991 0.836
ACCESS-CM2_CCAM [-] 19.6 19.6 18.1 19.5 1.53 7.64 0.607 0.876 0.764 0.951 0.831 0.837
ACCESS-CM2_CMIP6 [-] 17.2 17.2 19.0 -1.80 9.81 0.776 0.887 0.678 0.932 0.343 0.703
ACCESS-ESM1-5_BARPA [-] 20.4 20.4 18.1 23.2 2.25 7.93 0.465 0.872 0.757 0.967 0.991 0.869
ACCESS-ESM1-5_CCAM [-] 27.0 27.0 18.1 28.8 8.95 13.5 0.730 0.698 0.676 0.933 0.973 0.791
ACCESS-ESM1-5_CMIP6 [-] 18.7 18.7 18.7 -0.0538 8.14 0.442 0.902 0.720 0.975 0.455 0.754
CESM2_BARPA [-] 16.2 16.2 18.1 20.4 -1.88 6.85 0.713 0.904 0.779 0.944 0.963 0.874
CESM2_CCAM [-] 16.7 16.6 18.1 22.7 -1.47 7.86 0.721 0.908 0.744 0.946 0.973 0.863
CESM2_CMIP6 [-] 16.8 16.8 18.1 -1.33 6.77 1.09 0.901 0.764 0.893 0.403 0.745
CMCC-ESM2_BARPA [-] 13.8 13.8 18.1 17.2 -4.28 8.00 0.720 0.839 0.769 0.940 0.954 0.854
CMCC-ESM2_CCAM [-] 19.5 19.5 18.1 22.4 1.43 8.03 0.597 0.889 0.746 0.955 0.991 0.865
CMCC-ESM2_CMIP6 [-] 14.8 14.8 18.1 -3.34 6.13 0.505 0.864 0.810 0.970 0.672 0.825
CNRM-ESM2-1_CCAM [-] 19.7 19.7 18.1 19.9 1.65 7.10 0.569 0.889 0.775 0.956 0.899 0.859
CNRM-ESM2-1_CMIP6 [-] 12.8 12.8 18.6 -5.78 9.84 0.653 0.780 0.715 0.960 0.977 0.829
EC-Earth3_BARPA [-] 16.9 16.8 18.1 24.9 -1.28 7.84 0.614 0.888 0.756 0.956 0.919 0.855
EC-Earth3_CCAM [-] 20.0 20.0 18.1 24.9 1.93 8.32 0.453 0.886 0.740 0.965 0.967 0.860
EC-Earth3_CMIP6 [-] 12.1 12.1 18.2 -6.08 8.26 0.422 0.772 0.796 0.972 0.561 0.779
ERA5_BARPA [-] 20.3 20.2 18.2 26.9 2.04 7.91 0.908 0.885 0.753 0.921 0.989 0.860
ERA5_CCAM [-] 23.3 23.3 18.2 25.0 5.13 9.53 0.474 0.811 0.736 0.963 0.989 0.847
MPI-ESM1-2-HR_BARPA [-] 14.5 14.5 18.1 21.0 -3.60 9.18 0.541 0.848 0.742 0.964 0.955 0.850
MPI-ESM1-2-HR_CMIP6 [-] 5.81 5.81 18.5 -12.7 15.8 0.612 0.581 0.681 0.961 0.701 0.721
NorESM2-MM_BARPA [-] 23.2 23.2 18.1 28.8 5.10 9.99 0.581 0.809 0.719 0.952 0.945 0.829
NorESM2-MM_CCAM [-] 25.3 25.2 18.1 30.9 7.14 10.4 0.470 0.748 0.746 0.968 0.979 0.838
NorESM2-MM_CMIP6 [-] 22.4 22.4 18.1 4.27 6.73 0.578 0.827 0.817 0.962 0.467 0.778
Download Data
Period Mean (original grids) [mm d-1]
Model Period Mean (intersection) [mm d-1]
Benchmark Period Mean (intersection) [mm d-1]
Model Period Mean (complement) [mm d-1]
Benchmark Period Mean (complement) [mm d-1]
Bias [mm d-1]
RMSE [mm d-1]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 19.2
ACCESS-CM2_BARPA [-] 24.8 24.7 19.4 24.9 5.39 12.7 0.905 0.806 0.673 0.924 0.953 0.806
ACCESS-CM2_CCAM [-] 23.6 23.4 19.3 25.2 4.07 9.45 0.715 0.834 0.758 0.942 0.990 0.857
ACCESS-CM2_CMIP6 [-] 18.9 18.9 19.9 -1.07 10.7 1.22 0.923 0.669 0.866 0.884 0.802
ACCESS-ESM1-5_BARPA [-] 22.9 22.9 19.4 23.3 3.52 10.8 0.695 0.843 0.706 0.951 0.972 0.836
ACCESS-ESM1-5_CCAM [-] 26.9 26.5 19.3 29.7 7.22 13.1 0.735 0.766 0.677 0.938 0.955 0.803
ACCESS-ESM1-5_CMIP6 [-] 19.9 19.9 19.5 0.380 9.40 0.820 0.927 0.695 0.947 0.996 0.852
CESM2_BARPA [-] 19.2 19.0 19.4 21.0 -0.343 8.10 0.581 0.914 0.756 0.957 0.981 0.873
CESM2_CCAM [-] 20.5 19.9 19.3 25.5 0.585 11.5 0.990 0.879 0.671 0.909 0.633 0.753
CESM2_CMIP6 [-] 17.9 17.9 19.7 -1.88 7.76 0.859 0.924 0.754 0.918 0.851 0.840
CMCC-ESM2_BARPA [-] 16.4 16.3 19.4 17.3 -3.01 9.68 0.693 0.882 0.723 0.949 0.985 0.852
CMCC-ESM2_CCAM [-] 23.2 22.8 19.3 26.2 3.54 8.99 0.674 0.857 0.753 0.945 0.968 0.855
CMCC-ESM2_CMIP6 [-] 16.2 16.2 19.7 -3.51 6.97 0.545 0.865 0.804 0.961 0.526 0.792
CNRM-ESM2-1_CCAM [-] 21.7 21.4 19.3 23.5 2.14 8.52 0.800 0.884 0.756 0.928 0.973 0.859
CNRM-ESM2-1_CMIP6 [-] 11.5 11.5 19.7 -8.20 11.7 0.657 0.725 0.725 0.956 0.977 0.822
EC-Earth3_BARPA [-] 22.1 21.9 19.4 24.1 2.52 10.8 0.556 0.870 0.700 0.957 0.729 0.791
EC-Earth3_CCAM [-] 25.4 24.8 19.3 29.9 5.49 11.1 0.499 0.815 0.708 0.957 0.770 0.792
EC-Earth3_CMIP6 [-] 14.7 14.6 19.7 18.9 -5.09 7.67 0.373 0.826 0.810 0.972 0.838 0.851
ERA5_BARPA [-] 23.3 23.2 19.5 24.4 3.73 9.81 0.617 0.855 0.732 0.951 0.965 0.847
ERA5_CCAM [-] 24.7 24.3 19.4 27.9 4.85 9.26 0.551 0.833 0.753 0.954 0.938 0.846
MPI-ESM1-2-HR_BARPA [-] 20.8 20.5 19.4 23.6 1.11 11.2 0.674 0.895 0.679 0.949 0.832 0.807
MPI-ESM1-2-HR_CMIP6 [-] 7.66 7.63 19.6 10.4 -12.0 15.8 0.792 0.630 0.675 0.945 0.685 0.722
NorESM2-MM_BARPA [-] 26.6 26.6 19.4 26.5 7.25 13.0 0.539 0.765 0.687 0.958 0.942 0.808
NorESM2-MM_CCAM [-] 24.4 24.0 19.3 27.5 4.75 8.28 0.481 0.837 0.792 0.959 0.995 0.875
NorESM2-MM_CMIP6 [-] 21.1 21.1 19.7 1.37 5.64 0.527 0.924 0.826 0.957 0.755 0.857
Download Data
Period Mean (original grids) [mm d-1]
Model Period Mean (intersection) [mm d-1]
Benchmark Period Mean (intersection) [mm d-1]
Model Period Mean (complement) [mm d-1]
Benchmark Period Mean (complement) [mm d-1]
Bias [mm d-1]
RMSE [mm d-1]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 14.7
ACCESS-CM2_BARPA [-] 17.8 17.8 14.7 3.10 5.35 2.71 0.754 0.720 0.571 0.958 0.745
ACCESS-CM2_CCAM [-] 19.6 19.6 14.7 4.89 6.77 2.09 0.663 0.689 0.686 0.993 0.744
ACCESS-CM2_CMIP6 [-] 18.8 18.8 14.9 3.91 7.17 2.61 0.646 0.621 0.616 0.917 0.684
ACCESS-ESM1-5_BARPA [-] 16.5 16.5 14.7 1.78 4.61 1.88 0.826 0.721 0.719 0.962 0.790
ACCESS-ESM1-5_CCAM [-] 19.0 19.0 14.7 4.30 7.15 2.19 0.694 0.632 0.662 0.980 0.720
ACCESS-ESM1-5_CMIP6 [-] 17.1 17.1 14.9 2.12 7.38 2.06 0.678 0.555 0.690 0.796 0.655
CESM2_BARPA [-] 16.3 16.3 14.7 1.53 4.65 1.74 0.838 0.714 0.747 0.963 0.795
CESM2_CCAM [-] 11.8 11.8 14.7 -2.92 4.74 2.14 0.773 0.738 0.674 0.952 0.775
CESM2_CMIP6 [-] 18.2 18.2 14.8 3.32 6.89 1.80 0.707 0.600 0.721 0.889 0.703
CMCC-ESM2_BARPA [-] 15.3 15.3 14.7 0.609 4.29 2.39 0.877 0.723 0.640 0.975 0.788
CMCC-ESM2_CCAM [-] 21.0 21.0 14.7 6.29 7.97 2.07 0.596 0.675 0.684 0.992 0.725
CMCC-ESM2_CMIP6 [-] 16.6 16.6 14.8 1.75 4.78 1.77 0.746 0.735 0.730 0.687 0.727
CNRM-ESM2-1_CCAM [-] 15.2 15.2 14.7 0.517 4.22 1.84 0.875 0.725 0.725 0.961 0.802
CNRM-ESM2-1_CMIP6 [-] 13.4 13.4 14.6 -1.22 3.45 1.64 0.854 0.753 0.767 0.930 0.812
EC-Earth3_BARPA [-] 12.9 12.9 14.7 -1.86 4.27 1.77 0.832 0.745 0.737 0.973 0.806
EC-Earth3_CCAM [-] 15.6 15.6 14.7 0.881 5.48 1.83 0.862 0.644 0.706 0.974 0.766
EC-Earth3_CMIP6 [-] 10.9 10.9 14.8 -3.94 5.68 1.98 0.691 0.710 0.677 0.624 0.682
ERA5_BARPA [-] 17.7 17.7 14.7 2.91 4.86 1.83 0.763 0.745 0.717 0.960 0.786
ERA5_CCAM [-] 19.3 19.3 14.7 4.60 5.99 1.69 0.678 0.742 0.735 0.993 0.778
MPI-ESM1-2-HR_BARPA [-] 14.0 14.0 14.7 -0.694 3.75 2.18 0.886 0.750 0.648 0.993 0.805
MPI-ESM1-2-HR_CMIP6 [-] 9.91 9.91 14.6 -4.64 5.65 4.27 0.643 0.760 0.268 0.805 0.647
NorESM2-MM_BARPA [-] 17.2 17.2 14.7 2.43 4.85 2.40 0.792 0.725 0.644 0.959 0.769
NorESM2-MM_CCAM [-] 20.4 20.4 14.7 5.72 7.38 2.11 0.624 0.699 0.638 0.987 0.729
NorESM2-MM_CMIP6 [-] 19.1 19.1 14.8 4.26 6.24 2.66 0.646 0.725 0.557 0.798 0.690
Download Data
Period Mean (original grids) [mm d-1]
Model Period Mean (intersection) [mm d-1]
Benchmark Period Mean (intersection) [mm d-1]
Model Period Mean (complement) [mm d-1]
Benchmark Period Mean (complement) [mm d-1]
Bias [mm d-1]
RMSE [mm d-1]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 12.2
ACCESS-CM2_BARPA [-] 16.1 16.2 12.2 16.0 4.01 6.99 0.905 0.799 0.738 0.908 0.994 0.835
ACCESS-CM2_CCAM [-] 17.7 18.0 12.2 17.1 5.80 8.12 0.943 0.724 0.740 0.907 0.993 0.821
ACCESS-CM2_CMIP6 [-] 15.1 15.1 12.2 15.0 2.93 6.39 0.882 0.829 0.731 0.914 0.980 0.837
ACCESS-ESM1-5_BARPA [-] 14.7 14.9 12.2 14.3 2.70 6.05 0.840 0.839 0.754 0.923 0.973 0.849
ACCESS-ESM1-5_CCAM [-] 17.9 18.9 12.2 16.2 6.72 9.45 0.916 0.680 0.701 0.911 0.867 0.772
ACCESS-ESM1-5_CMIP6 [-] 14.9 15.0 12.2 14.0 2.81 6.83 0.906 0.830 0.712 0.912 0.949 0.823
CESM2_BARPA [-] 12.3 12.8 12.2 11.5 0.648 5.65 1.16 0.895 0.746 0.880 0.984 0.850
CESM2_CCAM [-] 9.16 9.97 12.2 7.70 -2.18 6.78 1.34 0.876 0.705 0.841 0.991 0.824
CESM2_CMIP6 [-] 13.5 14.0 12.2 11.0 1.81 6.73 1.00 0.842 0.714 0.910 0.969 0.830
CMCC-ESM2_BARPA [-] 11.1 11.0 12.2 11.2 -1.12 6.75 1.91 0.912 0.696 0.748 0.952 0.801
CMCC-ESM2_CCAM [-] 17.6 17.8 12.2 17.1 5.69 9.00 1.48 0.728 0.686 0.826 0.981 0.781
CMCC-ESM2_CMIP6 [-] 13.3 13.3 12.2 13.6 1.10 4.45 0.978 0.899 0.794 0.910 0.693 0.818
CNRM-ESM2-1_CCAM [-] 15.6 16.1 12.2 14.8 3.94 7.08 1.13 0.808 0.728 0.881 0.907 0.810
CNRM-ESM2-1_CMIP6 [-] 9.55 9.81 12.2 8.17 -2.40 5.69 1.00 0.861 0.749 0.903 0.832 0.819
EC-Earth3_BARPA [-] 9.51 9.78 12.2 8.99 -2.38 5.20 0.931 0.857 0.788 0.914 0.988 0.867
EC-Earth3_CCAM [-] 12.8 13.3 12.2 11.8 1.19 6.03 1.03 0.906 0.726 0.893 0.967 0.844
EC-Earth3_CMIP6 [-] 8.76 8.90 12.2 8.28 -3.26 5.35 0.732 0.823 0.795 0.935 0.757 0.821
ERA5_BARPA [-] 14.2 14.4 12.2 13.7 2.20 5.93 1.44 0.875 0.742 0.832 0.995 0.837
ERA5_CCAM [-] 15.7 16.6 12.2 14.1 4.42 7.13 1.18 0.771 0.741 0.869 0.914 0.807
MPI-ESM1-2-HR_BARPA [-] 10.1 10.3 12.2 9.89 -1.90 5.49 0.723 0.868 0.774 0.933 0.980 0.866
MPI-ESM1-2-HR_CMIP6 [-] 5.20 5.26 12.2 4.93 -6.98 8.60 1.11 0.662 0.757 0.875 0.682 0.747
NorESM2-MM_BARPA [-] 17.3 17.3 12.2 17.3 5.18 9.68 2.25 0.754 0.638 0.677 0.912 0.724
NorESM2-MM_CCAM [-] 19.8 20.4 12.2 18.7 8.25 10.3 1.04 0.629 0.720 0.890 0.990 0.790
NorESM2-MM_CMIP6 [-] 18.6 19.0 12.2 16.5 6.78 8.89 0.781 0.674 0.737 0.928 0.982 0.812
Download Data
Period Mean (original grids) [mm d-1]
Model Period Mean (intersection) [mm d-1]
Benchmark Period Mean (intersection) [mm d-1]
Model Period Mean (complement) [mm d-1]
Benchmark Period Mean (complement) [mm d-1]
Bias [mm d-1]
RMSE [mm d-1]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 9.82
ACCESS-CM2_BARPA [-] 13.3 13.0 9.82 13.8 3.21 5.75 1.40 0.785 0.715 0.820 0.798 0.767
ACCESS-CM2_CCAM [-] 13.3 13.3 9.82 13.5 3.45 5.96 1.41 0.773 0.711 0.830 0.993 0.803
ACCESS-CM2_CMIP6 [-] 12.9 12.8 9.89 13.7 2.87 5.69 1.12 0.787 0.676 0.863 0.993 0.799
ACCESS-ESM1-5_BARPA [-] 11.1 10.8 9.82 11.6 1.01 4.34 1.04 0.887 0.740 0.896 0.940 0.840
ACCESS-ESM1-5_CCAM [-] 10.9 11.0 9.82 10.6 1.17 5.26 1.71 0.845 0.709 0.766 0.860 0.778
ACCESS-ESM1-5_CMIP6 [-] 11.6 11.4 9.73 12.7 1.62 5.58 1.34 0.837 0.652 0.839 0.985 0.793
CESM2_BARPA [-] 9.99 9.84 9.82 10.3 0.0189 3.93 1.34 0.898 0.762 0.834 0.920 0.835
CESM2_CCAM [-] 7.96 8.40 9.82 6.95 -1.42 5.76 3.15 0.859 0.673 0.458 0.985 0.730
CESM2_CMIP6 [-] 11.3 11.2 9.91 11.7 1.34 4.84 1.23 0.823 0.733 0.859 0.857 0.801
CMCC-ESM2_BARPA [-] 10.0 9.78 9.82 10.5 -0.0393 5.18 2.60 0.909 0.687 0.580 0.683 0.709
CMCC-ESM2_CCAM [-] 16.2 15.8 9.82 17.2 5.99 7.60 1.83 0.636 0.711 0.749 0.992 0.760
CMCC-ESM2_CMIP6 [-] 11.8 11.7 9.91 12.3 1.80 3.77 1.43 0.854 0.783 0.805 0.875 0.820
CNRM-ESM2-1_CCAM [-] 12.9 13.2 9.82 12.2 3.36 5.51 1.14 0.788 0.734 0.868 0.878 0.800
CNRM-ESM2-1_CMIP6 [-] 8.93 8.95 9.77 8.84 -0.818 4.14 1.68 0.895 0.727 0.746 0.938 0.806
EC-Earth3_BARPA [-] 8.14 8.53 9.82 7.22 -1.30 3.82 1.14 0.870 0.787 0.871 0.975 0.858
EC-Earth3_CCAM [-] 9.85 10.1 9.82 9.21 0.309 4.36 1.09 0.899 0.740 0.875 0.991 0.849
EC-Earth3_CMIP6 [-] 7.26 7.42 9.87 6.73 -2.46 4.35 0.834 0.820 0.768 0.903 0.667 0.785
ERA5_BARPA [-] 12.4 12.3 9.84 12.6 2.50 4.58 1.31 0.824 0.764 0.840 0.829 0.804
ERA5_CCAM [-] 11.7 11.9 9.84 11.3 2.02 4.29 1.18 0.846 0.770 0.857 0.960 0.841
MPI-ESM1-2-HR_BARPA [-] 9.32 9.42 9.82 9.08 -0.399 3.96 1.10 0.913 0.755 0.876 0.630 0.786
MPI-ESM1-2-HR_CMIP6 [-] 5.13 5.25 9.84 4.71 -4.59 5.85 2.00 0.686 0.747 0.708 0.619 0.701
NorESM2-MM_BARPA [-] 14.2 14.0 9.82 14.7 4.13 6.54 1.96 0.739 0.695 0.733 0.958 0.764
NorESM2-MM_CCAM [-] 16.8 16.6 9.82 17.1 6.77 8.55 1.67 0.607 0.693 0.758 0.972 0.744
NorESM2-MM_CMIP6 [-] 14.8 14.6 9.91 15.6 4.73 6.79 2.29 0.696 0.705 0.632 0.986 0.745
Download Data
Period Mean (original grids) [mm d-1]
Model Period Mean (intersection) [mm d-1]
Benchmark Period Mean (intersection) [mm d-1]
Model Period Mean (complement) [mm d-1]
Benchmark Period Mean (complement) [mm d-1]
Bias [mm d-1]
RMSE [mm d-1]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 20.7
ACCESS-CM2_BARPA [-] 22.0 22.0 20.8 1.22 6.45 2.67 0.777 0.720 0.607 0.842 0.733
ACCESS-CM2_CCAM [-] 21.4 21.4 20.8 0.633 5.58 2.32 0.795 0.759 0.649 0.986 0.790
ACCESS-CM2_CMIP6 [-] 15.1 15.1 21.7 -6.58 7.27 3.57 0.555 0.762 0.371 0.389 0.568
ACCESS-ESM1-5_BARPA [-] 20.3 20.3 20.8 -0.486 6.30 1.98 0.741 0.747 0.696 0.846 0.755
ACCESS-ESM1-5_CCAM [-] 19.6 19.6 20.8 -1.16 5.77 2.15 0.799 0.747 0.673 0.986 0.791
ACCESS-ESM1-5_CMIP6 [-] 15.6 15.6 21.4 -5.86 6.78 0.00 0.658 0.787 1.00 1.00 0.846
CESM2_BARPA [-] 19.7 19.7 20.8 -1.08 5.82 1.34 0.768 0.761 0.826 0.909 0.805
CESM2_CCAM [-] 16.3 16.3 20.8 -4.46 6.61 1.54 0.716 0.784 0.796 0.979 0.812
CESM2_CMIP6 [-] 16.5 16.5 19.8 -3.32 5.36 2.57 0.745 0.689 0.502 0.616 0.648
CMCC-ESM2_BARPA [-] 21.8 21.8 20.8 1.01 5.99 2.20 0.793 0.737 0.665 0.901 0.767
CMCC-ESM2_CCAM [-] 25.0 25.0 20.8 4.28 7.61 3.12 0.732 0.690 0.491 0.991 0.719
CMCC-ESM2_CMIP6 [-] 17.5 17.5 19.8 -2.33 3.98 3.06 0.816 0.760 0.496 0.0605 0.578
CNRM-ESM2-1_CCAM [-] 19.5 19.5 20.8 -1.27 5.14 1.77 0.806 0.782 0.721 0.953 0.809
CNRM-ESM2-1_CMIP6 [-] 16.3 16.3 19.8 -3.58 4.33 0.522 0.740 0.822 0.962 0.0259 0.674
EC-Earth3_BARPA [-] 21.2 21.2 20.8 0.455 6.57 2.05 0.806 0.699 0.687 0.926 0.763
EC-Earth3_CCAM [-] 21.4 21.4 20.8 0.610 5.84 2.15 0.803 0.737 0.676 0.945 0.780
EC-Earth3_CMIP6 [-] 16.0 16.0 19.7 -3.71 6.74 4.23 0.729 0.641 0.264 0.957 0.646
ERA5_BARPA [-] 23.6 23.6 20.8 2.75 6.38 1.76 0.773 0.744 0.732 0.852 0.769
ERA5_CCAM [-] 21.3 21.3 20.8 0.496 5.03 1.86 0.806 0.796 0.702 0.986 0.817
MPI-ESM1-2-HR_BARPA [-] 19.6 19.6 20.8 -1.14 6.01 1.69 0.792 0.729 0.768 0.947 0.793
MPI-ESM1-2-HR_CMIP6 [-] 12.5 12.5 20.7 -8.16 8.79 2.71 0.544 0.784 0.567 0.129 0.562
NorESM2-MM_BARPA [-] 24.3 24.3 20.8 3.56 7.05 2.43 0.747 0.721 0.640 0.806 0.727
NorESM2-MM_CCAM [-] 19.7 19.7 20.8 -1.11 5.60 2.40 0.774 0.783 0.641 0.959 0.788
NorESM2-MM_CMIP6 [-] 18.9 18.9 19.8 -0.872 3.61 2.55 0.926 0.734 0.614 0.992 0.800
Download Data
Period Mean (original grids) [mm d-1]
Model Period Mean (intersection) [mm d-1]
Benchmark Period Mean (intersection) [mm d-1]
Model Period Mean (complement) [mm d-1]
Benchmark Period Mean (complement) [mm d-1]
Bias [mm d-1]
RMSE [mm d-1]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 29.1
ACCESS-CM2_BARPA [-] 30.6 30.6 28.9 1.66 7.69 1.54 0.693 0.708 0.814 0.831 0.751
ACCESS-CM2_CCAM [-] 27.8 27.8 29.1 -1.25 5.53 1.51 0.817 0.744 0.824 0.991 0.824
ACCESS-CM2_CMIP6 [-] 20.3 20.3 28.7 -8.31 9.19 3.05 0.437 0.681 0.498 1.00 0.659
ACCESS-ESM1-5_BARPA [-] 30.5 30.5 28.9 1.57 8.22 1.37 0.689 0.676 0.825 0.799 0.733
ACCESS-ESM1-5_CCAM [-] 27.3 27.3 29.1 -1.76 6.25 1.34 0.814 0.703 0.843 0.979 0.808
ACCESS-ESM1-5_CMIP6 [-] 15.8 15.8 26.1 -10.3 11.2 5.57 0.396 0.702 0.0331 0.671 0.501
CESM2_BARPA [-] 27.4 27.4 28.9 -1.46 6.56 0.738 0.732 0.739 0.907 0.940 0.811
CESM2_CCAM [-] 24.7 24.7 29.1 -4.33 7.35 0.900 0.742 0.695 0.871 0.972 0.795
CESM2_CMIP6 [-] 18.4 18.4 27.3 -8.91 9.78 5.42 0.468 0.734 0.0462 0.201 0.437
CMCC-ESM2_BARPA [-] 26.9 26.9 28.9 -2.02 6.90 1.11 0.713 0.751 0.881 0.952 0.810
CMCC-ESM2_CCAM [-] 28.4 28.4 29.1 -0.702 5.30 1.74 0.808 0.756 0.765 0.980 0.813
CMCC-ESM2_CMIP6 [-] 17.2 17.2 27.3 -10.1 10.6 3.73 0.426 0.762 0.372 0.127 0.490
CNRM-ESM2-1_CCAM [-] 25.9 25.9 29.1 -3.13 5.60 2.15 0.792 0.757 0.702 0.995 0.801
CNRM-ESM2-1_CMIP6 [-] 19.3 19.3 25.7 -6.41 6.76 2.02 0.562 0.824 0.682 0.179 0.614
EC-Earth3_BARPA [-] 28.7 28.7 28.9 -0.213 7.55 2.02 0.694 0.721 0.722 0.807 0.733
EC-Earth3_CCAM [-] 28.3 28.3 29.1 -0.728 4.65 1.44 0.839 0.774 0.822 0.995 0.841
EC-Earth3_CMIP6 [-] 19.6 19.6 28.4 -8.73 9.66 4.68 0.500 0.736 0.224 0.870 0.613
ERA5_BARPA [-] 28.2 28.2 28.9 -0.727 6.37 1.95 0.710 0.793 0.699 0.942 0.787
ERA5_CCAM [-] 25.6 25.6 29.1 -3.49 5.32 1.23 0.747 0.819 0.860 0.983 0.846
MPI-ESM1-2-HR_BARPA [-] 29.1 29.1 28.9 0.234 6.55 0.912 0.748 0.729 0.911 0.861 0.796
MPI-ESM1-2-HR_CMIP6 [-] 19.3 19.3 28.9 -9.53 9.93 1.22 0.449 0.799 0.794 0.896 0.747
NorESM2-MM_BARPA [-] 28.9 28.9 28.9 -0.0184 7.27 1.45 0.701 0.730 0.803 0.916 0.776
NorESM2-MM_CCAM [-] 25.9 25.9 29.1 -3.17 6.50 1.34 0.729 0.759 0.849 0.986 0.816
NorESM2-MM_CMIP6 [-] 19.6 19.6 27.3 -7.66 8.75 5.41 0.532 0.728 0.0409 0.328 0.471
Download Data
Period Mean (original grids) [mm d-1]
Model Period Mean (intersection) [mm d-1]
Benchmark Period Mean (intersection) [mm d-1]
Model Period Mean (complement) [mm d-1]
Benchmark Period Mean (complement) [mm d-1]
Bias [mm d-1]
RMSE [mm d-1]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 23.7
ACCESS-CM2_BARPA [-] 25.0 25.0 23.6 1.41 7.11 2.95 0.863 0.729 0.545 0.990 0.771
ACCESS-CM2_CCAM [-] 24.6 24.6 23.7 0.916 7.26 2.93 0.860 0.716 0.538 0.846 0.735
ACCESS-CM2_CMIP6 [-] 21.1 21.1 24.7 -3.61 7.14 1.65 0.828 0.720 0.798 0.710 0.755
ACCESS-ESM1-5_BARPA [-] 21.9 21.9 23.6 -1.67 7.24 2.62 0.864 0.715 0.596 0.987 0.775
ACCESS-ESM1-5_CCAM [-] 24.7 24.7 23.7 0.970 8.53 2.90 0.871 0.661 0.542 0.941 0.735
ACCESS-ESM1-5_CMIP6 [-] 19.0 19.0 25.6 -6.67 10.2 2.31 0.697 0.659 0.681 0.841 0.707
CESM2_BARPA [-] 23.1 23.1 23.6 -0.506 6.95 3.01 0.883 0.720 0.496 0.994 0.763
CESM2_CCAM [-] 17.4 17.4 23.7 -6.31 8.67 2.48 0.720 0.749 0.623 0.635 0.695
CESM2_CMIP6 [-] 21.4 21.4 24.8 -3.34 8.09 2.34 0.829 0.662 0.672 0.893 0.744
CMCC-ESM2_BARPA [-] 23.6 23.6 23.6 -0.0108 7.47 3.00 0.873 0.714 0.529 0.981 0.762
CMCC-ESM2_CCAM [-] 27.3 27.3 23.7 3.61 8.51 2.76 0.816 0.688 0.539 0.942 0.734
CMCC-ESM2_CMIP6 [-] 20.4 20.4 24.8 -4.32 6.51 2.34 0.780 0.762 0.644 0.994 0.788
CNRM-ESM2-1_CCAM [-] 21.8 21.8 23.7 -1.89 7.92 3.01 0.853 0.691 0.508 0.787 0.706
CNRM-ESM2-1_CMIP6 [-] 20.5 20.5 22.9 -2.43 6.02 2.36 0.785 0.690 0.645 0.988 0.760
EC-Earth3_BARPA [-] 23.4 23.4 23.6 -0.190 7.81 2.50 0.841 0.713 0.582 0.929 0.756
EC-Earth3_CCAM [-] 25.9 25.9 23.7 2.21 8.35 2.86 0.843 0.681 0.517 0.994 0.743
EC-Earth3_CMIP6 [-] 16.1 16.1 23.6 -7.48 8.96 2.68 0.667 0.767 0.576 0.407 0.637
ERA5_BARPA [-] 26.3 26.3 23.6 2.73 7.30 2.34 0.834 0.732 0.600 0.985 0.777
ERA5_CCAM [-] 26.9 26.9 23.7 3.20 6.78 2.82 0.823 0.760 0.526 0.969 0.768
MPI-ESM1-2-HR_BARPA [-] 21.6 21.6 23.6 -2.02 6.72 2.32 0.841 0.753 0.635 0.968 0.790
MPI-ESM1-2-HR_CMIP6 [-] 14.3 14.3 23.5 -9.27 10.0 1.67 0.567 0.805 0.741 0.109 0.605
NorESM2-MM_BARPA [-] 25.6 25.6 23.6 2.01 7.33 2.23 0.854 0.722 0.642 0.952 0.778
NorESM2-MM_CCAM [-] 21.7 21.7 23.7 -2.04 7.33 2.61 0.843 0.721 0.575 0.736 0.719
NorESM2-MM_CMIP6 [-] 21.3 21.3 24.8 -3.49 5.75 2.50 0.829 0.773 0.639 0.895 0.782
Download Data
Period Mean (original grids) [mm d-1]
Model Period Mean (intersection) [mm d-1]
Benchmark Period Mean (intersection) [mm d-1]
Model Period Mean (complement) [mm d-1]
Benchmark Period Mean (complement) [mm d-1]
Bias [mm d-1]
RMSE [mm d-1]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 16.9
ACCESS-CM2_BARPA [-] 17.1 17.1 16.9 0.197 4.55 2.99 0.873 0.705 0.506 0.969 0.752
ACCESS-CM2_CCAM [-] 19.1 19.1 16.8 2.27 5.10 2.96 0.800 0.691 0.515 0.741 0.687
ACCESS-CM2_CMIP6 [-] 16.6 16.6 17.3 -0.724 4.90 3.69 0.886 0.617 0.334 0.458 0.582
ACCESS-ESM1-5_BARPA [-] 16.0 16.0 16.9 -0.956 3.86 1.89 0.851 0.763 0.739 0.990 0.821
ACCESS-ESM1-5_CCAM [-] 17.8 17.8 16.8 0.942 4.99 2.17 0.871 0.669 0.681 0.856 0.749
ACCESS-ESM1-5_CMIP6 [-] 15.6 15.6 16.2 -0.675 6.15 1.54 0.932 0.527 0.833 0.997 0.763
CESM2_BARPA [-] 15.5 15.5 16.9 -1.43 3.72 2.11 0.843 0.776 0.671 0.995 0.812
CESM2_CCAM [-] 13.9 13.9 16.8 -2.90 4.73 3.16 0.777 0.735 0.474 0.740 0.692
CESM2_CMIP6 [-] 15.1 15.1 15.8 -0.688 3.00 2.83 0.893 0.769 0.554 0.881 0.773
CMCC-ESM2_BARPA [-] 15.2 15.2 16.9 -1.76 4.14 2.41 0.819 0.754 0.622 0.993 0.788
CMCC-ESM2_CCAM [-] 20.9 20.9 16.8 4.10 5.69 2.05 0.698 0.730 0.693 0.790 0.729
CMCC-ESM2_CMIP6 [-] 15.3 15.3 15.8 -0.421 2.56 2.83 0.877 0.798 0.554 0.996 0.804
CNRM-ESM2-1_CCAM [-] 16.8 16.8 16.8 -0.0474 3.73 1.87 0.905 0.742 0.746 0.777 0.782
CNRM-ESM2-1_CMIP6 [-] 13.9 13.9 17.6 -3.72 4.49 5.03 0.684 0.770 0.0717 1.00 0.659
EC-Earth3_BARPA [-] 14.8 14.8 16.9 -2.09 4.13 1.96 0.795 0.777 0.709 0.978 0.807
EC-Earth3_CCAM [-] 18.1 18.1 16.8 1.22 4.38 1.78 0.849 0.716 0.752 0.759 0.759
EC-Earth3_CMIP6 [-] 12.8 12.8 16.5 -3.75 5.30 1.87 0.698 0.708 0.744 0.588 0.689
ERA5_BARPA [-] 17.7 17.7 17.0 0.778 3.71 1.53 0.873 0.765 0.782 0.990 0.835
ERA5_CCAM [-] 19.9 19.9 16.9 3.01 4.52 1.56 0.761 0.774 0.791 0.863 0.793
MPI-ESM1-2-HR_BARPA [-] 15.6 15.6 16.9 -1.33 3.76 3.28 0.844 0.769 0.459 0.990 0.766
MPI-ESM1-2-HR_CMIP6 [-] 11.9 11.9 16.5 -4.62 5.41 4.05 0.635 0.766 0.323 0.363 0.571
NorESM2-MM_BARPA [-] 16.4 16.4 16.9 -0.497 3.81 2.35 0.869 0.751 0.638 0.987 0.799
NorESM2-MM_CCAM [-] 18.7 18.7 16.8 1.89 4.97 2.10 0.808 0.701 0.703 0.704 0.724
NorESM2-MM_CMIP6 [-] 17.4 17.4 15.8 1.64 4.47 2.63 0.852 0.662 0.601 0.669 0.689
Download Data
Period Mean (original grids) [mm d-1]
Model Period Mean (intersection) [mm d-1]
Benchmark Period Mean (intersection) [mm d-1]
Model Period Mean (complement) [mm d-1]
Benchmark Period Mean (complement) [mm d-1]
Bias [mm d-1]
RMSE [mm d-1]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 11.3
ACCESS-CM2_BARPA [-] 13.4 13.4 11.2 2.19 5.03 3.26 0.776 0.648 0.450 0.974 0.699
ACCESS-CM2_CCAM [-] 14.1 14.1 11.3 2.78 4.48 2.72 0.750 0.707 0.574 0.948 0.737
ACCESS-CM2_CMIP6 [-] 12.0 12.0 10.5 1.51 4.68 3.30 0.828 0.579 0.440 0.884 0.662
ACCESS-ESM1-5_BARPA [-] 11.7 11.7 11.2 0.458 4.13 3.09 0.857 0.677 0.530 0.937 0.736
ACCESS-ESM1-5_CCAM [-] 12.6 12.6 11.3 1.25 4.28 3.42 0.854 0.663 0.432 0.919 0.706
ACCESS-ESM1-5_CMIP6 [-] 12.9 12.9 11.8 1.10 6.26 3.00 0.893 0.500 0.489 0.576 0.592
CESM2_BARPA [-] 10.8 10.8 11.2 -0.372 3.45 3.34 0.890 0.720 0.464 0.956 0.750
CESM2_CCAM [-] 8.74 8.74 11.3 -2.57 3.75 2.13 0.764 0.759 0.678 0.896 0.771
CESM2_CMIP6 [-] 13.2 13.2 11.0 2.18 4.60 3.16 0.779 0.626 0.476 0.997 0.701
CMCC-ESM2_BARPA [-] 10.7 10.7 11.2 -0.465 3.95 2.74 0.861 0.692 0.563 0.867 0.735
CMCC-ESM2_CCAM [-] 16.4 16.4 11.3 5.13 6.37 2.90 0.597 0.687 0.518 0.951 0.688
CMCC-ESM2_CMIP6 [-] 12.1 12.1 11.0 1.14 3.03 2.60 0.878 0.727 0.593 0.836 0.752
CNRM-ESM2-1_CCAM [-] 12.4 12.4 11.3 1.12 3.37 2.85 0.864 0.732 0.559 0.875 0.752
CNRM-ESM2-1_CMIP6 [-] 9.03 9.03 10.1 -1.03 2.75 2.44 0.890 0.754 0.604 0.568 0.714
EC-Earth3_BARPA [-] 8.68 8.68 11.2 -2.53 4.06 2.85 0.753 0.739 0.549 0.989 0.754
EC-Earth3_CCAM [-] 11.4 11.4 11.3 0.117 4.05 2.71 0.906 0.665 0.559 0.972 0.754
EC-Earth3_CMIP6 [-] 8.39 8.39 11.1 -2.74 4.67 4.04 0.733 0.659 0.297 0.745 0.619
ERA5_BARPA [-] 12.9 12.9 11.2 1.63 3.76 3.01 0.810 0.733 0.523 0.963 0.753
ERA5_CCAM [-] 13.9 13.9 11.3 2.60 4.00 2.94 0.763 0.741 0.511 0.988 0.749
MPI-ESM1-2-HR_BARPA [-] 11.1 11.1 11.2 -0.153 3.49 3.04 0.888 0.718 0.497 0.951 0.754
MPI-ESM1-2-HR_CMIP6 [-] 6.46 6.46 11.2 -4.69 5.49 1.58 0.584 0.731 0.746 0.730 0.704
NorESM2-MM_BARPA [-] 12.7 12.7 11.2 1.50 3.88 2.40 0.814 0.722 0.636 0.922 0.763
NorESM2-MM_CCAM [-] 16.5 16.5 11.3 5.16 6.46 3.47 0.592 0.677 0.401 0.991 0.668
NorESM2-MM_CMIP6 [-] 14.9 14.9 11.0 3.92 4.74 2.43 0.640 0.740 0.566 0.333 0.604
Download Data
Period Mean (original grids) [mm d-1]
Model Period Mean (intersection) [mm d-1]
Benchmark Period Mean (intersection) [mm d-1]
Model Period Mean (complement) [mm d-1]
Benchmark Period Mean (complement) [mm d-1]
Bias [mm d-1]
RMSE [mm d-1]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 12.4
ACCESS-CM2_BARPA [-] 13.5 13.5 12.4 13.2 1.16 5.74 2.19 0.848 0.626 0.674 0.808 0.717
ACCESS-CM2_CCAM [-] 13.6 13.6 12.4 12.9 1.20 4.07 1.11 0.878 0.726 0.868 0.910 0.821
ACCESS-CM2_CMIP6 [-] 11.7 11.7 12.0 -0.332 5.51 1.87 0.855 0.586 0.712 0.953 0.739
ACCESS-ESM1-5_BARPA [-] 11.1 11.1 12.4 11.4 -1.27 4.33 1.82 0.857 0.713 0.758 0.710 0.750
ACCESS-ESM1-5_CCAM [-] 10.8 10.9 12.4 10.1 -1.53 3.92 1.31 0.862 0.743 0.836 0.834 0.804
ACCESS-ESM1-5_CMIP6 [-] 10.0 10.0 12.4 -2.33 6.41 3.08 0.778 0.571 0.502 0.601 0.605
CESM2_BARPA [-] 10.7 10.7 12.4 9.80 -1.63 4.01 1.99 0.850 0.737 0.708 0.840 0.775
CESM2_CCAM [-] 11.4 11.4 12.4 8.85 -0.972 4.71 1.89 0.895 0.677 0.750 0.983 0.797
CESM2_CMIP6 [-] 9.40 9.40 12.5 -3.13 4.80 1.44 0.739 0.711 0.851 0.406 0.684
CMCC-ESM2_BARPA [-] 11.1 11.1 12.4 10.3 -1.27 4.44 2.59 0.870 0.699 0.586 0.792 0.729
CMCC-ESM2_CCAM [-] 16.2 16.2 12.4 16.3 3.77 5.77 2.11 0.729 0.702 0.704 0.889 0.745
CMCC-ESM2_CMIP6 [-] 11.0 11.0 12.5 -1.58 3.74 1.20 0.830 0.758 0.858 0.272 0.695
CNRM-ESM2-1_CCAM [-] 14.9 14.9 12.4 13.8 2.53 5.59 2.30 0.802 0.662 0.663 0.783 0.714
CNRM-ESM2-1_CMIP6 [-] 12.2 12.2 12.3 -0.0841 4.02 0.902 0.889 0.690 0.891 0.995 0.831
EC-Earth3_BARPA [-] 11.8 11.8 12.4 9.09 -0.535 4.67 1.94 0.877 0.686 0.726 0.991 0.793
EC-Earth3_CCAM [-] 14.2 14.2 12.4 11.3 1.81 5.03 1.75 0.834 0.678 0.764 0.979 0.787
EC-Earth3_CMIP6 [-] 10.3 10.3 12.3 -1.98 5.38 2.04 0.824 0.635 0.694 0.882 0.734
ERA5_BARPA [-] 13.6 13.6 12.3 12.8 1.22 3.90 1.66 0.851 0.748 0.768 0.872 0.797
ERA5_CCAM [-] 13.3 13.3 12.4 12.0 0.908 3.38 1.45 0.891 0.774 0.813 0.890 0.828
MPI-ESM1-2-HR_BARPA [-] 10.8 10.8 12.4 9.68 -1.59 4.28 2.13 0.859 0.714 0.690 0.871 0.770
MPI-ESM1-2-HR_CMIP6 [-] 6.63 6.63 12.2 -5.61 6.43 1.53 0.584 0.755 0.794 0.477 0.673
NorESM2-MM_BARPA [-] 14.3 14.3 12.4 14.1 1.95 5.65 1.37 0.800 0.656 0.848 0.860 0.764
NorESM2-MM_CCAM [-] 13.8 13.8 12.4 16.1 1.41 5.08 1.39 0.812 0.694 0.840 0.544 0.717
NorESM2-MM_CMIP6 [-] 11.9 11.9 12.5 -0.679 4.55 1.33 0.857 0.680 0.867 0.261 0.669
Download Data
Period Mean (original grids) [mm d-1]
Model Period Mean (intersection) [mm d-1]
Benchmark Period Mean (intersection) [mm d-1]
Model Period Mean (complement) [mm d-1]
Benchmark Period Mean (complement) [mm d-1]
Bias [mm d-1]
RMSE [mm d-1]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 28.2
ACCESS-CM2_BARPA [-] 28.3 28.7 28.3 23.3 0.395 18.8 1.03 0.806 0.637 0.905 0.630 0.723
ACCESS-CM2_CCAM [-] 25.8 25.9 28.2 24.0 -2.30 15.0 0.945 0.846 0.693 0.916 0.495 0.729
ACCESS-CM2_CMIP6 [-] 17.6 17.6 27.1 -9.47 17.6 0.988 0.731 0.649 0.917 0.659 0.721
ACCESS-ESM1-5_BARPA [-] 29.2 29.7 28.3 22.5 1.41 17.5 0.771 0.812 0.654 0.938 0.612 0.734
ACCESS-ESM1-5_CCAM [-] 34.4 34.6 28.2 32.0 6.36 17.7 0.694 0.805 0.655 0.943 0.740 0.760
ACCESS-ESM1-5_CMIP6 [-] 20.4 20.4 26.4 -5.99 14.6 1.23 0.823 0.658 0.884 0.300 0.665
CESM2_BARPA [-] 24.3 24.6 28.3 21.2 -3.71 13.5 0.772 0.838 0.728 0.942 0.950 0.837
CESM2_CCAM [-] 31.0 31.3 28.2 28.7 3.03 13.5 0.806 0.839 0.725 0.917 0.785 0.798
CESM2_CMIP6 [-] 19.3 19.3 26.2 -6.93 12.7 1.32 0.803 0.726 0.831 0.0630 0.630
CMCC-ESM2_BARPA [-] 22.2 22.4 28.3 19.3 -5.88 12.2 0.822 0.819 0.766 0.926 0.951 0.846
CMCC-ESM2_CCAM [-] 29.8 29.9 28.2 29.0 1.62 11.5 0.673 0.857 0.770 0.945 0.704 0.809
CMCC-ESM2_CMIP6 [-] 14.4 14.4 26.2 -11.9 15.6 0.772 0.683 0.729 0.918 0.155 0.643
CNRM-ESM2-1_CCAM [-] 23.9 24.1 28.2 21.1 -4.11 11.7 0.863 0.851 0.761 0.926 0.831 0.826
CNRM-ESM2-1_CMIP6 [-] 13.0 13.0 25.1 -12.2 17.6 0.657 0.672 0.665 0.955 0.579 0.707
EC-Earth3_BARPA [-] 31.5 31.7 28.3 28.7 3.41 18.1 0.780 0.815 0.643 0.918 0.790 0.762
EC-Earth3_CCAM [-] 31.7 31.8 28.2 30.8 3.54 13.6 0.797 0.850 0.721 0.920 0.874 0.817
EC-Earth3_CMIP6 [-] 15.1 15.1 26.7 -11.5 16.0 0.893 0.703 0.721 0.924 0.499 0.714
ERA5_BARPA [-] 30.9 31.0 28.3 28.4 2.71 14.8 1.19 0.821 0.702 0.872 0.820 0.783
ERA5_CCAM [-] 32.3 32.5 28.3 29.8 4.20 12.6 0.825 0.845 0.748 0.919 0.852 0.822
MPI-ESM1-2-HR_BARPA [-] 26.5 26.9 28.3 22.4 -1.41 16.9 0.626 0.816 0.676 0.951 0.700 0.764
MPI-ESM1-2-HR_CMIP6 [-] 8.27 8.27 27.2 -18.9 24.3 0.589 0.565 0.635 0.959 0.832 0.725
NorESM2-MM_BARPA [-] 34.2 34.4 28.3 31.6 6.16 16.6 0.757 0.804 0.677 0.934 0.828 0.784
NorESM2-MM_CCAM [-] 34.8 34.9 28.2 34.0 6.69 14.0 0.798 0.798 0.749 0.918 0.727 0.788
NorESM2-MM_CMIP6 [-] 23.7 23.7 26.2 -2.52 9.24 1.01 0.863 0.778 0.918 0.0550 0.679

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:
Interpolated Rain Gauge Precipitation

  Institution:
Australian Bureau of Meteorology, GPO Box 1289, Melbourne VIC 3001, Australia

  History:
Thu Sep 19 19:25:43 2024: ncatted -a missing_value,RX1day,d,, /g/data/xv83/users/bxn599/ACS/icclim_indices_acs/agcd/indices/none/none/AUS-r005/BOM/AGCD/historical/none/none/none/climdex/RX1day/v20240411/RX1day_AUS-r005_AGCD_historical_none_BOM_none_none_mon_19790101-20211231_masked.nc.tmp Wed Aug 28 13:50:51 2024: cdo -f nc4c -b f32 -z zip_1 --shuffle setmissval,1.e+20 /g/data/xv83/users/bxn599/ACS/icclim_indices_acs/agcd/indices/none/none/AUS-r005/BOM/AGCD/historical/none/none/none/climdex/RX1day/v20240411/RX1day_AUS-r005_AGCD_historical_none_BOM_none_none_mon_19790101-20211231_masked.nc /g/data/xv83/users/bxn599/ACS/icclim_indices_acs/agcd/indices/none/none/AUS-r005/BOM/AGCD/historical/none/none/none/climdex/RX1day/v20240411/RX1day_AUS-r005_AGCD_historical_none_BOM_none_none_mon_19790101-20211231_masked_compressed.nc Wed Jun 05 08:52:12 2024: cdo ifthen /g/data/xv83/users/bxn599/ACS/evaluation/AGCDv1_precip_weights_1985-2014_average.nc ./indices/none/none/AUS-r005/BOM/AGCD/historical/none/none/none/climdex/RX1day/v20240411/RX1day_AUS-r005_AGCD_historical_none_BOM_none_none_mon_19790101-20211231.nc ./indices/none/none/AUS-r005/BOM/AGCD/historical/none/none/none/climdex/RX1day/v20240411/RX1day_AUS-r005_AGCD_historical_none_BOM_none_none_mon_19790101-20211231_masked.nc Wed May 15 14:02:18 2024: /g/data/xv83/users/bxn599/miniconda3/envs/icclim/bin/python /g/data/xv83/users/bxn599/ACS/indices/run_icclim.py --slice_mode month --verbose --start_date 1979-01-01 --end_date 2021-12-31 --input_files /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19000101-19001231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19010101-19011231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19020101-19021231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19030101-19031231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19040101-19041231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19050101-19051231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19060101-19061231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19070101-19071231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19080101-19081231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19090101-19091231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19100101-19101231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19110101-19111231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19120101-19121231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19130101-19131231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19140101-19141231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19150101-19151231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19160101-19161231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19170101-19171231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19180101-19181231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19190101-19191231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19200101-19201231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19210101-19211231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19220101-19221231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19230101-19231231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19240101-19241231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19250101-19251231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19260101-19261231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19270101-19271231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19280101-19281231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19290101-19291231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19300101-19301231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19310101-19311231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19320101-19321231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19330101-19331231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19340101-19341231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19350101-19351231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19360101-19361231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19370101-19371231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19380101-19381231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19390101-19391231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19400101-19401231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19410101-19411231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19420101-19421231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19430101-19431231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19440101-19441231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19450101-19451231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19460101-19461231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19470101-19471231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19480101-19481231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19490101-19491231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19500101-19501231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19510101-19511231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19520101-19521231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19530101-19531231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19540101-19541231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19550101-19551231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19560101-19561231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19570101-19571231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19580101-19581231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19590101-19591231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19600101-19601231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19610101-19611231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19620101-19621231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19630101-19631231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19640101-19641231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19650101-19651231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19660101-19661231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19670101-19671231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19680101-19681231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19690101-19691231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19700101-19701231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19710101-19711231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19720101-19721231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19730101-19731231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19740101-19741231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19750101-19751231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19760101-19761231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19770101-19771231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19780101-19781231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19790101-19791231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19800101-19801231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19810101-19811231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19820101-19821231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19830101-19831231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19840101-19841231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19850101-19851231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19860101-19861231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19870101-19871231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19880101-19881231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19890101-19891231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19900101-19901231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19910101-19911231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19920101-19921231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19930101-19931231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19940101-19941231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19950101-19951231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19960101-19961231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19970101-19971231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19980101-19981231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19990101-19991231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_20000101-20001231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_20010101-20011231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_20020101-20021231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_20030101-20031231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_20040101-20041231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_20050101-20051231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_20060101-20061231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_20070101-20071231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_20080101-20081231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_20090101-20091231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_20100101-20101231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_20110101-20111231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_20120101-20121231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_20130101-20131231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_20140101-20141231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_20150101-20151231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_20160101-20161231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_20170101-20171231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_20180101-20181231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_20190101-20191231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_20200101-20201231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_20210101-20211231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_20220101-20221231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_20230101-20231231_daily.nc --variable precip --drop_time_bounds RX1day /g/data/xv83/users/bxn599/ACS/icclim_indices_acs/agcd/indices/none/none/AUS-r005/BOM/AGCD/historical/none/none/none/climdex/RX1day/v20240411/RX1day_AUS-r005_AGCD_historical_none_BOM_none_none_mon_19790101-20211231.nc

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

  Conventions:
CF-1.6

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

  Geospatial_lat_min:
-44.525

  Geospatial_lat_max:
-9.975

  Geospatial_lon_min:
111.975

  Geospatial_lon_max:
156.275

  Time_coverage_start:
1899-12-31T09:00:00

  Time_coverage_end:
1900-01-01T09:00:00

  Original_aifs_header:
SOUTHWEST_LATITUDE: 44.5, SOUTHWEST_LONGITUDE: 112.0, NUMBER_OF_LONGITUDES_IN_GRID: 886, RAINFALL_ANALYSIS: 1900010119000101, LENGTH_SCALE_FOR_ANALYSIS: 80.0, BUREAU_OF_METEOROLOGY, NUMBER_OF_LATITUDES_IN_GRID: 691, GRID_INCREMENT_OF_LONGITUDE: 0.05, GRID_INCREMENT_OF_LATITUDE: 0.05, ROW_CHANGES_WITH_LONGITUDE, NUMBER_OF_STATIONS_REPORTING: 2757, ANALYSIS_TIME: 2010-10-23 14:49:46 UTC, COLUMN_NUMBER_AT_SOUTHWEST_CORNER: 1, ROW_NUMBER_AT_SOUTHWEST_CORNER: 1, ANALYSIS_VERSION_NUMBER: 3.01, LATITUDE_-_LONGITUDE_GRID

  Date_created:
2017-01-17T22:13:51.976225

  Bom-cmp-awap_version:
bom-cmp-awap-1.00-89.0.x86_64

  Bom-cmp-util_aifs2nc_version:
bom-cmp-util_aifs2nc-v1.1.0-2.x86_64

  Netcdf_version:
4.3.0 of Jul 16 2013 05:46:56 $

  Uuid:
14333ae2-28fe-4cb6-9f00-677adc94f25e

  Keywords_reference:
Global Change Master Directory (GCMD). 2015. GCMD Keywords, Version 8.1. Greenbelt, MD: Global Change Data Center, Science and Exploration Directorate, Goddard Space Flight Center (GSFC) National Aeronautics and Space Administration (NASA). URL:http://gcmd.nasa.gov/learn/keywords.html

  Acknowledgment:
The Australian Government, Bureau of Meteorology
The Australian Water Availability Project
The AusCover facility of the Terrestrial Ecosystem Research Network (TERN)

  Copyright:
(C) Copyright Commonwealth of Australia 2017, Bureau of Meteorology (ABN 92637 533532), see http://www.bom.gov.au/other/copyright.shtml for terms and conditions of reuse.

  Keywords_vocabulary:
GCMD Science Keywords, Version 8.1

  Standard_name_vocabulary:
CF Standard Names, v28

  Keywords:
Earth Science, Atmosphere, Precipitation, Precipitation Amount, Liquid Water Equivalent

  Data_format:
netCDF4 with zlib compression

  Cdm_data_type:
Grid

  Analysis_components:
total: the gridded accumulation of rainfall.

  Url:
http://www.bom.gov.au/climate/

  Licence:
Copyright for any data supplied by the Bureau of Meteorology is held in the Commonwealth of Australia and the purchaser shall give acknowledgement of the source in reference to the data. Apart from dealings under the Copyright Act 1968, the purchaser shall not reproduce (electronically or otherwise), modify or supply (by sale or otherwise) these data without written permission from the supplier.

  Id:
Australian Gridded Climate Data (AGCD)

  Summary:
The daily and monthly rainfall data represents the amount of precipitation of any type (including the liquid equivalent of frozen hydrometeors such as hail and snow) observed by means of rain gauges stationed across Australia. These gauges measure millimetres of liquid water depth over a 24-hour period running from 9am local clock time the previous day to 9am on the observed day. Rainfall data from up to 6500 sites across the country are analysed, with limited quality control, onto 0.05x0.05 degree grids using the technique described in Jones et al. (2009). Monthly rainfall totals are calculated from the accumulation of the contributing daily rainfall totals, and may incorporate multi-day rainfall totals if observations were missing on any one day. Weekly rainfall totals are calculated from the sum of the daily grids. Multi-month rainfall totals are calculated from the sum of monthly grids. Month-to-date and Year-to-date rainfall grids are calculated from the sum of the contributing monthly and daily grids.

  Naming_authority:
au.gov.bom

  Icclim_version:
6.5.0

  Project_id:
indices

  Frequency:
climdex

  Variable_id:
RX1day

  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)