Mean State

Download Data
Period Mean (original grids) [%]
Model Period Mean (intersection) [%]
Benchmark Period Mean (intersection) [%]
Model Period Mean (complement) [%]
Benchmark Period Mean (complement) [%]
Bias [%]
RMSE [%]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 10.7
ACCESS-CM2_BARPA [-] 11.6 11.8 10.4 10.9 1.39 7.33 1.85 0.930 0.733 0.731 0.969 0.819
ACCESS-CM2_CCAM [-] 13.4 13.5 10.5 13.1 2.96 7.74 1.76 0.871 0.741 0.751 0.973 0.815
ACCESS-CM2_CMIP6 [-] 11.6 11.7 9.31 11.2 2.38 7.19 1.69 0.862 0.684 0.754 0.899 0.777
ACCESS-ESM1-5_BARPA [-] 11.4 11.6 10.4 10.7 1.17 6.83 1.58 0.932 0.749 0.785 0.978 0.839
ACCESS-ESM1-5_CCAM [-] 12.9 13.2 10.5 11.9 2.66 7.50 1.68 0.878 0.748 0.766 0.987 0.825
ACCESS-ESM1-5_CMIP6 [-] 10.9 11.0 9.21 10.2 1.77 7.17 1.35 0.888 0.677 0.833 0.944 0.804
CESM2_BARPA [-] 10.9 11.3 10.4 9.52 0.877 6.65 1.71 0.944 0.751 0.761 0.977 0.837
CESM2_CCAM [-] 10.7 11.0 10.5 9.37 0.517 7.16 1.78 0.945 0.735 0.748 0.974 0.827
CESM2_CMIP6 [-] 10.8 10.9 9.46 9.53 1.48 6.34 1.25 0.914 0.722 0.854 0.984 0.839
CMCC-ESM2_BARPA [-] 11.1 11.2 10.4 10.3 0.845 7.57 2.32 0.947 0.721 0.640 0.975 0.801
CMCC-ESM2_CCAM [-] 14.3 14.4 10.5 14.0 3.87 8.50 1.99 0.840 0.720 0.702 0.919 0.780
CMCC-ESM2_CMIP6 [-] 10.9 10.9 9.46 10.2 1.47 6.04 1.66 0.900 0.742 0.756 0.983 0.825
CNRM-ESM2-1_CCAM [-] 14.0 14.1 10.5 13.5 3.59 8.08 1.78 0.847 0.733 0.749 0.983 0.809
CNRM-ESM2-1_CMIP6 [-] 9.36 9.51 9.28 7.85 0.232 5.77 1.31 0.939 0.728 0.831 0.979 0.841
EC-Earth3_BARPA [-] 10.7 11.0 10.4 9.69 0.572 6.49 1.60 0.941 0.754 0.778 0.992 0.844
EC-Earth3_CCAM [-] 13.1 13.2 10.5 12.6 2.74 7.49 1.67 0.875 0.735 0.763 0.985 0.819
EC-Earth3_CMIP6 [-] 9.28 9.40 9.72 8.50 -0.321 6.09 1.27 0.937 0.749 0.835 0.983 0.850
ERA5_BARPA [-] 11.7 12.0 10.4 10.7 1.58 6.84 1.91 0.926 0.748 0.721 0.986 0.826
ERA5_CCAM [-] 13.5 13.8 10.5 12.5 3.32 7.61 1.75 0.859 0.746 0.746 0.986 0.816
MPI-ESM1-2-HR_BARPA [-] 10.6 10.8 10.4 9.71 0.377 7.02 1.77 0.950 0.736 0.741 0.987 0.830
MPI-ESM1-2-HR_CMIP6 [-] 8.19 8.32 9.54 7.26 -1.22 9.24 2.96 0.925 0.642 0.524 0.988 0.744
NorESM2-MM_BARPA [-] 12.5 12.7 10.4 11.6 2.28 8.42 2.48 0.899 0.707 0.603 0.958 0.775
NorESM2-MM_CCAM [-] 13.6 13.7 10.5 13.3 3.18 7.96 1.74 0.865 0.736 0.750 0.903 0.798
NorESM2-MM_CMIP6 [-] 11.7 11.8 9.46 11.0 2.35 6.36 1.39 0.879 0.736 0.814 0.949 0.823
Download Data
Period Mean (original grids) [%]
Model Period Mean (intersection) [%]
Benchmark Period Mean (intersection) [%]
Model Period Mean (complement) [%]
Benchmark Period Mean (complement) [%]
Bias [%]
RMSE [%]
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 [-] 13.0 13.0 12.0 0.927 5.76 1.54 0.956 0.786 0.786 0.992 0.870
ACCESS-CM2_CCAM [-] 14.8 14.8 12.1 2.76 6.73 1.67 0.890 0.774 0.772 0.960 0.841
ACCESS-CM2_CMIP6 [-] 14.1 14.1 11.7 2.43 5.91 2.21 0.871 0.737 0.653 0.689 0.738
ACCESS-ESM1-5_BARPA [-] 13.6 13.6 12.0 1.60 6.57 1.94 0.933 0.764 0.727 0.998 0.845
ACCESS-ESM1-5_CCAM [-] 15.2 15.2 12.1 3.13 7.13 1.84 0.876 0.767 0.740 0.998 0.836
ACCESS-ESM1-5_CMIP6 [-] 13.3 13.3 11.6 1.70 5.72 1.07 0.905 0.735 0.900 0.682 0.798
CESM2_BARPA [-] 13.0 13.0 12.0 0.979 6.59 2.14 0.954 0.757 0.682 0.968 0.831
CESM2_CCAM [-] 12.7 12.7 12.1 0.625 6.26 1.54 0.950 0.773 0.801 0.985 0.866
CESM2_CMIP6 [-] 13.3 13.3 11.7 1.59 6.10 1.25 0.919 0.735 0.855 0.952 0.850
CMCC-ESM2_BARPA [-] 12.7 12.7 12.0 0.652 6.68 1.75 0.964 0.753 0.758 0.990 0.854
CMCC-ESM2_CCAM [-] 15.2 15.2 12.1 3.12 8.40 1.94 0.876 0.721 0.728 0.870 0.790
CMCC-ESM2_CMIP6 [-] 13.6 13.6 11.7 1.81 6.55 1.92 0.909 0.718 0.718 0.735 0.764
CNRM-ESM2-1_CCAM [-] 14.4 14.4 12.1 2.36 6.86 1.54 0.904 0.764 0.798 0.971 0.849
CNRM-ESM2-1_CMIP6 [-] 10.9 10.9 11.6 -0.703 5.50 1.95 0.953 0.737 0.698 0.919 0.817
EC-Earth3_BARPA [-] 11.9 11.9 12.0 -0.116 6.29 1.88 0.960 0.767 0.725 0.995 0.851
EC-Earth3_CCAM [-] 14.0 14.0 12.1 1.91 7.64 2.02 0.920 0.733 0.716 0.969 0.823
EC-Earth3_CMIP6 [-] 9.52 9.52 11.8 -2.27 5.92 1.48 0.895 0.774 0.817 0.998 0.860
ERA5_BARPA [-] 13.7 13.7 12.0 1.68 7.29 2.37 0.930 0.740 0.640 0.992 0.816
ERA5_CCAM [-] 15.8 15.8 12.1 3.74 7.68 1.98 0.853 0.756 0.707 0.933 0.806
MPI-ESM1-2-HR_BARPA [-] 11.3 11.3 12.0 -0.770 6.93 2.18 0.961 0.746 0.666 0.965 0.825
MPI-ESM1-2-HR_CMIP6 [-] 9.57 9.57 11.8 -2.22 7.02 3.17 0.892 0.718 0.480 0.991 0.764
NorESM2-MM_BARPA [-] 13.8 13.8 12.0 1.78 8.13 2.61 0.926 0.713 0.588 0.997 0.796
NorESM2-MM_CCAM [-] 14.8 14.8 12.1 2.75 7.14 1.50 0.890 0.759 0.815 0.874 0.826
NorESM2-MM_CMIP6 [-] 14.2 14.2 11.7 2.42 6.63 2.95 0.880 0.722 0.522 0.941 0.761
Download Data
Period Mean (original grids) [%]
Model Period Mean (intersection) [%]
Benchmark Period Mean (intersection) [%]
Model Period Mean (complement) [%]
Benchmark Period Mean (complement) [%]
Bias [%]
RMSE [%]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 13.1
ACCESS-CM2_BARPA [-] 13.9 13.9 13.0 0.905 5.85 1.11 0.954 0.787 0.861 0.977 0.890
ACCESS-CM2_CCAM [-] 15.5 15.5 13.0 2.56 6.79 1.25 0.897 0.775 0.848 0.995 0.863
ACCESS-CM2_CMIP6 [-] 13.8 13.8 12.9 0.835 5.71 1.23 0.946 0.738 0.790 0.999 0.814
ACCESS-ESM1-5_BARPA [-] 14.5 14.5 13.0 1.55 6.85 1.27 0.933 0.759 0.843 0.955 0.867
ACCESS-ESM1-5_CCAM [-] 16.7 16.7 13.0 3.69 7.42 1.54 0.856 0.771 0.807 0.991 0.849
ACCESS-ESM1-5_CMIP6 [-] 13.5 13.5 12.4 1.06 6.03 0.976 0.941 0.715 0.912 0.999 0.845
CESM2_BARPA [-] 13.0 13.0 13.0 0.0835 6.22 1.28 0.959 0.774 0.845 0.987 0.883
CESM2_CCAM [-] 14.1 14.1 13.0 1.08 6.18 1.32 0.940 0.781 0.841 0.967 0.880
CESM2_CMIP6 [-] 13.7 13.7 12.6 1.15 5.93 1.07 0.938 0.742 0.895 0.922 0.857
CMCC-ESM2_BARPA [-] 13.7 13.7 13.0 0.734 7.04 1.59 0.955 0.747 0.804 0.998 0.863
CMCC-ESM2_CCAM [-] 15.7 15.7 13.0 2.74 7.72 1.63 0.890 0.744 0.790 0.941 0.840
CMCC-ESM2_CMIP6 [-] 13.1 13.1 12.6 0.528 4.89 0.703 0.942 0.785 0.918 0.750 0.841
CNRM-ESM2-1_CCAM [-] 15.8 15.8 13.0 2.85 7.49 1.58 0.887 0.754 0.797 0.894 0.844
CNRM-ESM2-1_CMIP6 [-] 11.3 11.3 12.6 -1.33 5.99 0.995 0.928 0.731 0.917 0.996 0.884
EC-Earth3_BARPA [-] 13.3 13.3 13.0 0.318 6.54 1.20 0.964 0.762 0.840 0.990 0.876
EC-Earth3_CCAM [-] 15.4 15.4 13.0 2.41 7.52 1.91 0.901 0.745 0.725 0.986 0.830
EC-Earth3_CMIP6 [-] 11.2 11.2 12.7 -1.44 5.15 1.24 0.923 0.799 0.854 0.911 0.853
ERA5_BARPA [-] 14.6 14.6 13.0 1.70 6.74 1.90 0.929 0.761 0.725 0.998 0.846
ERA5_CCAM [-] 17.1 17.1 13.0 4.07 7.34 1.59 0.844 0.779 0.779 0.948 0.843
MPI-ESM1-2-HR_BARPA [-] 11.9 11.9 13.0 -1.03 6.18 1.17 0.953 0.777 0.830 0.993 0.881
MPI-ESM1-2-HR_CMIP6 [-] 9.75 9.75 12.7 -2.98 8.14 3.75 0.862 0.687 0.360 0.966 0.724
NorESM2-MM_BARPA [-] 14.9 14.9 13.0 1.94 7.42 1.58 0.921 0.742 0.780 0.998 0.846
NorESM2-MM_CCAM [-] 15.4 15.4 13.0 2.41 7.16 1.42 0.902 0.759 0.817 0.962 0.859
NorESM2-MM_CMIP6 [-] 14.1 14.1 12.6 1.49 5.69 1.14 0.923 0.754 0.877 0.895 0.847
Download Data
Period Mean (original grids) [%]
Model Period Mean (intersection) [%]
Benchmark Period Mean (intersection) [%]
Model Period Mean (complement) [%]
Benchmark Period Mean (complement) [%]
Bias [%]
RMSE [%]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 10.9
ACCESS-CM2_BARPA [-] 11.7 11.8 10.6 11.7 1.17 7.66 1.44 0.927 0.713 0.822 0.934 0.833
ACCESS-CM2_CCAM [-] 14.3 14.3 10.7 14.2 3.62 8.18 1.11 0.837 0.725 0.869 0.803 0.795
ACCESS-CM2_CMIP6 [-] 11.4 11.4 9.22 2.21 7.06 1.05 0.862 0.660 0.874 0.973 0.810
ACCESS-ESM1-5_BARPA [-] 11.8 11.8 10.6 11.4 1.21 6.58 0.948 0.924 0.748 0.889 0.968 0.865
ACCESS-ESM1-5_CCAM [-] 14.3 14.3 10.7 14.5 3.59 7.82 1.08 0.840 0.741 0.874 0.875 0.815
ACCESS-ESM1-5_CMIP6 [-] 10.7 10.7 9.16 1.54 6.09 0.771 0.896 0.689 0.932 0.878 0.830
CESM2_BARPA [-] 11.5 11.6 10.6 11.3 0.974 6.77 1.29 0.933 0.736 0.837 0.954 0.847
CESM2_CCAM [-] 11.6 11.5 10.7 12.5 0.784 6.39 1.17 0.945 0.742 0.866 0.950 0.858
CESM2_CMIP6 [-] 9.92 9.92 9.49 0.430 4.94 0.891 0.957 0.745 0.915 0.994 0.891
CMCC-ESM2_BARPA [-] 11.2 11.2 10.6 10.8 0.590 7.09 1.80 0.942 0.722 0.739 0.947 0.827
CMCC-ESM2_CCAM [-] 14.7 14.7 10.7 14.9 3.97 8.51 1.12 0.824 0.699 0.863 0.796 0.782
CMCC-ESM2_CMIP6 [-] 8.91 8.91 9.49 -0.581 4.07 0.592 0.945 0.793 0.956 0.601 0.840
CNRM-ESM2-1_CCAM [-] 16.2 16.2 10.7 15.8 5.50 9.37 1.49 0.767 0.697 0.796 0.764 0.752
CNRM-ESM2-1_CMIP6 [-] 9.84 9.84 9.28 0.557 5.89 1.20 0.938 0.707 0.847 0.964 0.845
EC-Earth3_BARPA [-] 12.5 12.5 10.6 12.7 1.93 6.16 1.17 0.904 0.753 0.852 0.934 0.856
EC-Earth3_CCAM [-] 15.1 15.0 10.7 15.8 4.32 7.90 1.02 0.810 0.713 0.868 0.719 0.779
EC-Earth3_CMIP6 [-] 10.2 10.2 9.85 9.30 0.309 5.00 0.871 0.946 0.777 0.895 0.996 0.893
ERA5_BARPA [-] 12.2 12.2 10.6 12.0 1.63 6.81 1.44 0.916 0.739 0.811 0.981 0.851
ERA5_CCAM [-] 15.0 15.0 10.7 14.7 4.28 8.18 1.05 0.813 0.719 0.867 0.888 0.800
MPI-ESM1-2-HR_BARPA [-] 11.8 11.8 10.6 12.4 1.22 7.00 1.45 0.923 0.724 0.803 0.777 0.820
MPI-ESM1-2-HR_CMIP6 [-] 8.03 8.02 9.61 8.50 -1.59 10.3 3.02 0.909 0.607 0.520 0.973 0.734
NorESM2-MM_BARPA [-] 13.2 13.2 10.6 13.5 2.64 8.75 1.80 0.876 0.697 0.713 0.892 0.789
NorESM2-MM_CCAM [-] 14.1 14.1 10.7 14.8 3.39 7.82 1.06 0.847 0.733 0.868 0.828 0.811
NorESM2-MM_CMIP6 [-] 10.6 10.6 9.49 1.08 4.30 0.476 0.932 0.785 0.966 0.995 0.897
Download Data
Period Mean (original grids) [%]
Model Period Mean (intersection) [%]
Benchmark Period Mean (intersection) [%]
Model Period Mean (complement) [%]
Benchmark Period Mean (complement) [%]
Bias [%]
RMSE [%]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 12.7
ACCESS-CM2_BARPA [-] 13.6 13.6 12.6 1.03 7.16 2.24 0.954 0.747 0.656 0.998 0.828
ACCESS-CM2_CCAM [-] 13.8 13.8 12.6 1.20 6.81 2.00 0.943 0.760 0.719 0.976 0.839
ACCESS-CM2_CMIP6 [-] 14.0 14.0 12.4 1.66 7.18 2.15 0.912 0.692 0.654 0.971 0.794
ACCESS-ESM1-5_BARPA [-] 13.0 13.0 12.6 0.378 6.14 1.84 0.970 0.776 0.746 0.998 0.862
ACCESS-ESM1-5_CCAM [-] 13.7 13.7 12.6 1.05 6.93 2.00 0.949 0.757 0.714 0.997 0.843
ACCESS-ESM1-5_CMIP6 [-] 13.6 13.6 12.4 1.19 7.74 1.62 0.915 0.669 0.789 0.967 0.817
CESM2_BARPA [-] 13.2 13.2 12.6 0.613 6.05 1.60 0.965 0.779 0.786 0.997 0.871
CESM2_CCAM [-] 11.2 11.2 12.6 -1.42 6.36 1.65 0.942 0.776 0.769 0.983 0.857
CESM2_CMIP6 [-] 14.3 14.3 12.5 1.86 7.20 1.50 0.911 0.707 0.829 0.994 0.843
CMCC-ESM2_BARPA [-] 13.1 13.1 12.6 0.485 6.83 2.55 0.966 0.754 0.593 0.987 0.817
CMCC-ESM2_CCAM [-] 15.1 15.1 12.6 2.48 7.09 2.01 0.902 0.763 0.702 0.881 0.807
CMCC-ESM2_CMIP6 [-] 14.5 14.5 12.5 2.06 6.35 1.86 0.901 0.745 0.736 0.817 0.793
CNRM-ESM2-1_CCAM [-] 13.2 13.2 12.6 0.600 6.45 1.84 0.959 0.769 0.750 0.947 0.847
CNRM-ESM2-1_CMIP6 [-] 12.3 12.3 12.4 -0.0549 5.33 1.04 0.970 0.753 0.882 0.999 0.885
EC-Earth3_BARPA [-] 11.7 11.7 12.6 -0.944 5.95 1.57 0.958 0.785 0.789 0.999 0.872
EC-Earth3_CCAM [-] 12.7 12.7 12.6 0.0948 6.25 1.66 0.971 0.774 0.771 0.985 0.864
EC-Earth3_CMIP6 [-] 10.8 10.8 12.5 -1.70 7.73 1.29 0.919 0.704 0.826 0.934 0.830
ERA5_BARPA [-] 13.5 13.5 12.6 0.939 5.99 1.65 0.958 0.782 0.770 0.997 0.866
ERA5_CCAM [-] 14.2 14.2 12.6 1.53 6.02 1.76 0.936 0.789 0.746 0.955 0.849
MPI-ESM1-2-HR_BARPA [-] 12.5 12.5 12.6 -0.0746 6.53 1.92 0.973 0.763 0.708 0.998 0.850
MPI-ESM1-2-HR_CMIP6 [-] 11.0 11.0 12.3 -1.27 6.46 2.04 0.937 0.734 0.710 0.978 0.828
NorESM2-MM_BARPA [-] 13.9 13.9 12.6 1.29 7.02 2.48 0.943 0.751 0.616 0.976 0.814
NorESM2-MM_CCAM [-] 14.4 14.4 12.6 1.76 6.79 1.68 0.928 0.765 0.762 0.988 0.850
NorESM2-MM_CMIP6 [-] 14.6 14.6 12.5 2.16 6.71 1.97 0.898 0.730 0.717 0.850 0.791
Download Data
Period Mean (original grids) [%]
Model Period Mean (intersection) [%]
Benchmark Period Mean (intersection) [%]
Model Period Mean (complement) [%]
Benchmark Period Mean (complement) [%]
Bias [%]
RMSE [%]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 9.20
ACCESS-CM2_BARPA [-] 10.8 10.8 8.86 10.9 1.90 7.59 2.09 0.915 0.728 0.682 0.982 0.812
ACCESS-CM2_CCAM [-] 12.8 12.7 8.97 13.0 3.72 8.30 2.07 0.846 0.730 0.692 0.819 0.792
ACCESS-CM2_CMIP6 [-] 10.9 10.9 7.77 11.2 3.12 7.43 1.89 0.830 0.686 0.726 0.990 0.790
ACCESS-ESM1-5_BARPA [-] 10.5 10.5 8.86 10.7 1.61 7.14 1.78 0.924 0.741 0.748 0.991 0.839
ACCESS-ESM1-5_CCAM [-] 12.0 12.1 8.97 11.8 3.09 7.72 1.88 0.868 0.743 0.726 0.778 0.804
ACCESS-ESM1-5_CMIP6 [-] 10.2 10.2 7.81 10.2 2.38 7.51 1.54 0.866 0.673 0.800 0.966 0.799
CESM2_BARPA [-] 9.83 10.0 8.86 9.40 1.17 6.78 1.87 0.939 0.749 0.731 0.991 0.837
CESM2_CCAM [-] 9.56 9.77 8.97 9.15 0.802 7.84 2.10 0.946 0.714 0.686 0.994 0.825
CESM2_CMIP6 [-] 9.99 10.1 8.01 9.53 2.07 6.64 1.18 0.888 0.719 0.870 0.982 0.851
CMCC-ESM2_BARPA [-] 10.2 10.1 8.86 10.3 1.24 8.27 2.67 0.941 0.702 0.567 0.966 0.786
CMCC-ESM2_CCAM [-] 13.9 13.8 8.97 14.0 4.84 9.36 2.43 0.806 0.707 0.614 0.970 0.772
CMCC-ESM2_CMIP6 [-] 10.4 10.5 8.01 10.2 2.47 6.83 2.18 0.871 0.721 0.655 0.987 0.799
CNRM-ESM2-1_CCAM [-] 13.3 13.2 8.97 13.3 4.25 8.42 1.93 0.827 0.729 0.721 0.725 0.772
CNRM-ESM2-1_CMIP6 [-] 8.10 8.15 7.75 7.85 0.396 5.59 1.31 0.938 0.738 0.834 0.966 0.854
EC-Earth3_BARPA [-] 9.43 9.39 8.86 9.51 0.529 6.69 1.78 0.949 0.749 0.746 0.925 0.835
EC-Earth3_CCAM [-] 12.3 12.2 8.97 12.4 3.23 7.73 1.87 0.863 0.731 0.728 0.726 0.786
EC-Earth3_CMIP6 [-] 8.28 8.22 8.19 8.48 0.0263 5.93 1.31 0.944 0.751 0.827 0.983 0.866
ERA5_BARPA [-] 10.7 10.7 8.86 10.7 1.84 7.23 2.17 0.918 0.737 0.671 0.993 0.811
ERA5_CCAM [-] 12.6 12.7 8.97 12.3 3.78 8.14 2.08 0.845 0.734 0.687 0.695 0.777
MPI-ESM1-2-HR_BARPA [-] 9.48 9.45 8.86 9.55 0.586 7.38 1.91 0.954 0.725 0.716 0.994 0.827
MPI-ESM1-2-HR_CMIP6 [-] 7.31 7.32 8.07 7.25 -0.744 9.67 3.18 0.942 0.627 0.481 0.992 0.750
NorESM2-MM_BARPA [-] 11.5 11.6 8.86 11.5 2.71 9.07 3.03 0.884 0.688 0.498 0.995 0.758
NorESM2-MM_CCAM [-] 13.1 13.0 8.97 13.2 4.07 8.76 2.10 0.834 0.722 0.682 0.989 0.797
NorESM2-MM_CMIP6 [-] 11.2 11.2 8.01 11.0 3.20 7.11 1.51 0.840 0.722 0.790 0.969 0.808
Download Data
Period Mean (original grids) [%]
Model Period Mean (intersection) [%]
Benchmark Period Mean (intersection) [%]
Model Period Mean (complement) [%]
Benchmark Period Mean (complement) [%]
Bias [%]
RMSE [%]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 15.9
ACCESS-CM2_BARPA [-] 16.3 16.3 15.9 0.396 6.46 2.65 0.955 0.756 0.583 0.987 0.801
ACCESS-CM2_CCAM [-] 16.3 16.3 15.9 0.354 6.62 2.46 0.956 0.754 0.620 0.993 0.822
ACCESS-CM2_CMIP6 [-] 15.8 15.8 15.9 -0.0642 7.06 2.01 0.949 0.674 0.722 0.709 0.744
ACCESS-ESM1-5_BARPA [-] 15.6 15.6 15.9 -0.338 6.18 2.19 0.953 0.765 0.669 0.955 0.821
ACCESS-ESM1-5_CCAM [-] 16.5 16.5 15.9 0.538 7.03 2.21 0.952 0.740 0.679 0.998 0.830
ACCESS-ESM1-5_CMIP6 [-] 16.0 16.0 15.6 0.412 9.23 1.63 0.913 0.608 0.782 0.314 0.752
CESM2_BARPA [-] 15.6 15.6 15.9 -0.352 6.16 2.26 0.954 0.767 0.658 0.962 0.822
CESM2_CCAM [-] 14.9 14.9 15.9 -1.06 6.79 2.51 0.938 0.750 0.600 0.980 0.809
CESM2_CMIP6 [-] 16.9 16.9 15.7 1.15 8.11 1.76 0.939 0.657 0.741 0.899 0.763
CMCC-ESM2_BARPA [-] 16.0 16.0 15.9 0.109 6.67 2.56 0.954 0.749 0.600 0.986 0.806
CMCC-ESM2_CCAM [-] 17.8 17.8 15.9 1.86 6.81 2.33 0.919 0.755 0.639 0.981 0.812
CMCC-ESM2_CMIP6 [-] 17.2 17.2 15.7 1.46 6.96 1.85 0.925 0.697 0.715 0.966 0.754
CNRM-ESM2-1_CCAM [-] 15.8 15.8 15.9 -0.135 6.70 2.19 0.962 0.750 0.678 0.954 0.834
CNRM-ESM2-1_CMIP6 [-] 15.2 15.2 15.9 -0.726 5.58 1.80 0.948 0.730 0.728 0.683 0.750
EC-Earth3_BARPA [-] 15.5 15.5 15.9 -0.464 6.32 2.08 0.952 0.761 0.691 0.981 0.838
EC-Earth3_CCAM [-] 16.3 16.3 15.9 0.349 6.20 2.00 0.948 0.769 0.697 0.998 0.840
EC-Earth3_CMIP6 [-] 15.0 15.0 15.9 -0.830 8.08 1.66 0.939 0.676 0.789 0.734 0.793
ERA5_BARPA [-] 16.7 16.7 15.9 0.811 5.79 1.94 0.949 0.781 0.706 0.996 0.840
ERA5_CCAM [-] 17.0 17.0 15.9 1.04 5.50 2.09 0.947 0.794 0.692 0.943 0.842
MPI-ESM1-2-HR_BARPA [-] 15.4 15.4 15.9 -0.553 6.13 2.07 0.950 0.767 0.681 0.915 0.824
MPI-ESM1-2-HR_CMIP6 [-] 15.5 15.5 15.8 -0.349 6.67 1.97 0.920 0.710 0.703 0.394 0.728
NorESM2-MM_BARPA [-] 16.4 16.4 15.9 0.427 6.37 2.51 0.951 0.759 0.596 0.950 0.790
NorESM2-MM_CCAM [-] 16.5 16.5 15.9 0.588 6.70 2.22 0.957 0.752 0.661 0.998 0.829
NorESM2-MM_CMIP6 [-] 17.2 17.2 15.7 1.48 6.70 1.88 0.918 0.708 0.744 0.998 0.774
Download Data
Period Mean (original grids) [%]
Model Period Mean (intersection) [%]
Benchmark Period Mean (intersection) [%]
Model Period Mean (complement) [%]
Benchmark Period Mean (complement) [%]
Bias [%]
RMSE [%]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 12.7
ACCESS-CM2_BARPA [-] 12.9 12.9 12.4 10.9 0.548 7.81 1.78 0.961 0.722 0.754 0.953 0.828
ACCESS-CM2_CCAM [-] 12.6 12.6 12.5 11.3 0.125 6.06 1.65 0.971 0.779 0.765 0.993 0.860
ACCESS-CM2_CMIP6 [-] 12.4 12.4 11.9 0.527 7.91 1.71 0.938 0.659 0.736 0.978 0.810
ACCESS-ESM1-5_BARPA [-] 11.7 11.7 12.4 9.96 -0.681 6.80 1.72 0.957 0.755 0.775 0.967 0.851
ACCESS-ESM1-5_CCAM [-] 11.6 11.6 12.5 10.1 -0.872 6.56 1.77 0.959 0.765 0.755 0.999 0.849
ACCESS-ESM1-5_CMIP6 [-] 10.9 10.9 11.8 -0.906 8.62 1.74 0.939 0.632 0.734 0.990 0.810
CESM2_BARPA [-] 12.6 12.6 12.4 10.8 0.253 6.97 2.00 0.965 0.748 0.711 0.944 0.832
CESM2_CCAM [-] 12.0 12.0 12.5 11.7 -0.469 7.45 1.97 0.960 0.737 0.710 0.949 0.827
CESM2_CMIP6 [-] 12.0 12.0 12.0 0.0488 7.52 2.74 0.963 0.683 0.553 0.973 0.801
CMCC-ESM2_BARPA [-] 12.5 12.5 12.4 10.9 0.144 7.13 2.35 0.967 0.742 0.632 0.998 0.822
CMCC-ESM2_CCAM [-] 13.7 13.7 12.5 12.9 1.19 6.37 1.99 0.946 0.773 0.713 0.996 0.840
CMCC-ESM2_CMIP6 [-] 12.0 12.0 12.0 -0.00482 5.92 1.10 0.957 0.743 0.880 0.998 0.872
CNRM-ESM2-1_CCAM [-] 12.8 12.8 12.5 12.6 0.355 6.35 1.92 0.957 0.771 0.720 0.963 0.841
CNRM-ESM2-1_CMIP6 [-] 11.8 11.8 11.5 0.279 7.50 1.60 0.917 0.679 0.752 0.911 0.819
EC-Earth3_BARPA [-] 12.0 12.0 12.4 9.69 -0.398 7.25 1.72 0.949 0.741 0.766 0.938 0.837
EC-Earth3_CCAM [-] 12.2 12.2 12.5 10.9 -0.242 6.88 1.78 0.962 0.754 0.751 0.990 0.854
EC-Earth3_CMIP6 [-] 11.0 11.0 11.9 -0.864 9.57 1.94 0.911 0.641 0.712 0.741 0.744
ERA5_BARPA [-] 13.2 13.2 12.4 10.9 0.847 5.92 1.64 0.957 0.784 0.764 0.957 0.857
ERA5_CCAM [-] 12.4 12.5 12.5 11.0 -0.0232 5.69 1.61 0.972 0.792 0.776 0.996 0.867
MPI-ESM1-2-HR_BARPA [-] 11.8 11.8 12.4 10.1 -0.597 6.85 1.93 0.961 0.753 0.713 0.987 0.843
MPI-ESM1-2-HR_CMIP6 [-] 10.3 10.3 11.8 -1.51 9.28 2.51 0.929 0.638 0.606 0.975 0.776
NorESM2-MM_BARPA [-] 13.5 13.5 12.4 11.2 1.16 7.21 1.75 0.946 0.742 0.768 0.997 0.846
NorESM2-MM_CCAM [-] 12.8 12.8 12.5 12.8 0.333 6.54 1.67 0.967 0.764 0.773 0.997 0.855
NorESM2-MM_CMIP6 [-] 12.8 12.8 12.0 0.796 7.10 1.59 0.950 0.700 0.800 0.995 0.833
Download Data
Period Mean (original grids) [%]
Model Period Mean (intersection) [%]
Benchmark Period Mean (intersection) [%]
Model Period Mean (complement) [%]
Benchmark Period Mean (complement) [%]
Bias [%]
RMSE [%]
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 [-] 10.8 10.8 10.8 10.4 0.0623 5.90 0.910 0.939 0.756 0.915 0.791 0.840
ACCESS-CM2_CCAM [-] 12.2 12.2 10.9 12.3 1.28 6.30 0.800 0.910 0.743 0.922 0.919 0.859
ACCESS-CM2_CMIP6 [-] 9.38 9.38 9.69 -0.306 6.80 0.791 0.944 0.653 0.927 0.756 0.802
ACCESS-ESM1-5_BARPA [-] 10.9 10.9 10.8 9.93 0.175 5.95 0.818 0.937 0.755 0.935 0.661 0.815
ACCESS-ESM1-5_CCAM [-] 12.1 12.2 10.9 11.3 1.35 6.51 0.796 0.913 0.737 0.921 0.975 0.870
ACCESS-ESM1-5_CMIP6 [-] 8.82 8.82 8.88 -0.0579 5.58 1.23 0.944 0.681 0.893 0.775 0.807
CESM2_BARPA [-] 11.0 11.0 10.8 11.0 0.194 5.55 0.893 0.938 0.767 0.929 0.913 0.873
CESM2_CCAM [-] 12.9 13.0 10.9 11.9 2.13 6.15 0.831 0.887 0.753 0.916 0.993 0.872
CESM2_CMIP6 [-] 9.18 9.18 9.44 -0.262 4.81 1.33 0.943 0.746 0.836 0.891 0.842
CMCC-ESM2_BARPA [-] 10.9 10.9 10.8 10.1 0.149 5.01 0.946 0.934 0.791 0.905 0.921 0.877
CMCC-ESM2_CCAM [-] 13.5 13.6 10.9 12.4 2.76 6.34 0.850 0.864 0.752 0.917 0.963 0.860
CMCC-ESM2_CMIP6 [-] 8.13 8.13 9.44 -1.31 3.86 0.660 0.924 0.805 0.958 0.746 0.852
CNRM-ESM2-1_CCAM [-] 13.5 13.6 10.9 13.3 2.68 6.28 0.972 0.866 0.746 0.912 0.894 0.842
CNRM-ESM2-1_CMIP6 [-] 9.68 9.68 8.78 0.896 5.00 0.820 0.909 0.737 0.947 0.900 0.858
EC-Earth3_BARPA [-] 12.0 12.1 10.8 11.1 1.29 5.32 0.969 0.918 0.773 0.895 0.993 0.881
EC-Earth3_CCAM [-] 13.6 13.6 10.9 12.8 2.75 6.38 1.03 0.861 0.747 0.877 0.912 0.838
EC-Earth3_CMIP6 [-] 8.80 8.80 9.83 -1.03 4.17 0.896 0.939 0.812 0.927 0.999 0.907
ERA5_BARPA [-] 11.7 11.7 10.8 12.0 0.909 5.30 1.03 0.930 0.780 0.885 0.851 0.853
ERA5_CCAM [-] 13.2 13.3 10.9 11.8 2.45 5.87 0.961 0.879 0.768 0.899 0.863 0.843
MPI-ESM1-2-HR_BARPA [-] 11.1 11.1 10.8 11.0 0.331 5.20 0.715 0.942 0.782 0.935 0.986 0.897
MPI-ESM1-2-HR_CMIP6 [-] 7.00 7.00 9.84 -2.84 8.00 0.786 0.850 0.707 0.950 0.987 0.855
NorESM2-MM_BARPA [-] 11.7 11.8 10.8 10.9 1.03 5.68 0.808 0.934 0.767 0.933 0.912 0.873
NorESM2-MM_CCAM [-] 13.6 13.7 10.9 12.1 2.86 6.28 1.11 0.864 0.762 0.875 0.958 0.853
NorESM2-MM_CMIP6 [-] 9.99 9.99 9.44 0.555 3.89 1.34 0.962 0.780 0.855 0.989 0.884
Download Data
Period Mean (original grids) [%]
Model Period Mean (intersection) [%]
Benchmark Period Mean (intersection) [%]
Model Period Mean (complement) [%]
Benchmark Period Mean (complement) [%]
Bias [%]
RMSE [%]
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 [-] 12.8 12.0 11.0 13.4 1.05 7.32 1.84 0.931 0.733 0.732 0.962 0.818
ACCESS-CM2_CCAM [-] 13.7 13.5 11.1 13.8 2.43 7.62 1.80 0.884 0.741 0.742 0.943 0.810
ACCESS-CM2_CMIP6 [-] 12.7 12.0 10.2 13.5 1.80 7.31 1.68 0.880 0.686 0.759 0.908 0.784
ACCESS-ESM1-5_BARPA [-] 12.3 11.8 11.0 12.8 0.783 6.80 1.61 0.933 0.750 0.780 0.974 0.837
ACCESS-ESM1-5_CCAM [-] 13.9 13.3 11.1 14.4 2.26 7.47 1.71 0.889 0.745 0.761 0.983 0.825
ACCESS-ESM1-5_CMIP6 [-] 12.7 11.8 10.2 13.8 1.57 7.16 1.37 0.899 0.685 0.821 0.980 0.814
CESM2_BARPA [-] 11.9 11.5 11.0 12.3 0.523 6.69 1.73 0.940 0.752 0.758 0.975 0.835
CESM2_CCAM [-] 12.8 11.5 11.1 13.9 0.425 7.10 1.76 0.944 0.738 0.751 0.971 0.828
CESM2_CMIP6 [-] 12.4 11.6 10.4 13.4 1.22 6.62 1.37 0.920 0.718 0.827 0.987 0.834
CMCC-ESM2_BARPA [-] 12.2 11.5 11.0 12.8 0.556 7.47 2.25 0.942 0.727 0.652 0.986 0.807
CMCC-ESM2_CCAM [-] 14.8 14.5 11.1 15.0 3.44 8.18 1.96 0.854 0.728 0.708 0.937 0.791
CMCC-ESM2_CMIP6 [-] 12.3 11.5 10.4 13.2 1.16 6.26 1.67 0.904 0.740 0.755 0.986 0.825
CNRM-ESM2-1_CCAM [-] 14.4 14.1 11.1 14.6 3.08 7.92 1.82 0.863 0.734 0.741 0.946 0.804
CNRM-ESM2-1_CMIP6 [-] 11.1 10.1 10.2 12.5 -0.180 6.06 1.43 0.935 0.728 0.810 0.921 0.825
EC-Earth3_BARPA [-] 12.1 11.3 11.0 12.8 0.296 6.55 1.59 0.939 0.755 0.780 0.987 0.843
EC-Earth3_CCAM [-] 14.1 13.5 11.1 14.5 2.42 7.38 1.68 0.885 0.738 0.761 0.979 0.820
EC-Earth3_CMIP6 [-] 11.5 10.1 10.5 12.8 -0.416 6.30 1.38 0.934 0.746 0.814 0.982 0.844
ERA5_BARPA [-] 13.0 12.3 11.0 13.5 1.27 6.64 1.83 0.929 0.755 0.735 0.983 0.831
ERA5_CCAM [-] 14.1 14.0 11.1 14.2 2.90 7.34 1.76 0.874 0.751 0.745 0.982 0.821
MPI-ESM1-2-HR_BARPA [-] 11.8 11.0 11.0 12.4 0.0545 6.99 1.74 0.946 0.739 0.745 0.968 0.828
MPI-ESM1-2-HR_CMIP6 [-] 9.78 8.83 10.4 10.8 -1.58 8.79 2.58 0.913 0.667 0.591 0.968 0.761
NorESM2-MM_BARPA [-] 13.4 12.9 11.0 13.9 1.87 8.12 2.33 0.904 0.716 0.633 0.956 0.785
NorESM2-MM_CCAM [-] 14.1 13.8 11.1 14.4 2.75 7.79 1.77 0.879 0.738 0.744 0.840 0.788
NorESM2-MM_CMIP6 [-] 13.2 12.4 10.4 14.1 1.99 6.40 1.43 0.892 0.738 0.806 0.953 0.825
Download Data
Period Mean (original grids) [%]
Model Period Mean (intersection) [%]
Benchmark Period Mean (intersection) [%]
Model Period Mean (complement) [%]
Benchmark Period Mean (complement) [%]
Bias [%]
RMSE [%]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 11.7
ACCESS-CM2_BARPA [-] 10.6 10.3 11.4 10.7 -1.11 6.63 1.10 0.915 0.735 0.883 0.720 0.797
ACCESS-CM2_CCAM [-] 11.7 12.1 11.5 11.6 0.556 6.99 1.07 0.912 0.721 0.890 0.587 0.766
ACCESS-CM2_CMIP6 [-] 10.9 9.71 10.2 11.3 -0.507 7.49 1.31 0.931 0.643 0.860 0.981 0.812
ACCESS-ESM1-5_BARPA [-] 10.3 10.1 11.4 10.3 -1.32 6.14 0.860 0.913 0.750 0.926 0.760 0.820
ACCESS-ESM1-5_CCAM [-] 12.5 12.9 11.5 12.4 1.33 7.20 1.18 0.914 0.720 0.867 0.712 0.787
ACCESS-ESM1-5_CMIP6 [-] 11.8 10.9 10.2 12.2 0.710 6.55 0.749 0.935 0.680 0.943 0.835 0.815
CESM2_BARPA [-] 10.0 10.3 11.4 9.98 -1.17 6.11 0.833 0.901 0.759 0.926 0.571 0.783
CESM2_CCAM [-] 14.2 13.4 11.5 14.3 1.86 6.35 0.948 0.906 0.741 0.905 0.997 0.858
CESM2_CMIP6 [-] 11.1 10.5 10.4 11.3 0.0277 5.07 0.801 0.963 0.748 0.912 0.984 0.871
CMCC-ESM2_BARPA [-] 10.1 9.71 11.4 10.2 -1.73 6.02 0.980 0.895 0.763 0.900 0.594 0.783
CMCC-ESM2_CCAM [-] 13.2 13.5 11.5 13.1 1.95 6.21 1.01 0.888 0.757 0.891 0.592 0.777
CMCC-ESM2_CMIP6 [-] 9.45 8.58 10.4 9.74 -1.86 4.21 0.838 0.900 0.805 0.922 0.852 0.857
CNRM-ESM2-1_CCAM [-] 12.6 14.0 11.5 12.3 2.45 6.89 1.17 0.874 0.730 0.868 0.496 0.740
CNRM-ESM2-1_CMIP6 [-] 10.6 10.1 10.1 10.8 0.00191 5.54 0.879 0.946 0.735 0.934 0.996 0.869
EC-Earth3_BARPA [-] 10.9 11.6 11.4 10.8 0.176 5.56 0.831 0.918 0.772 0.916 0.734 0.822
EC-Earth3_CCAM [-] 13.4 14.2 11.5 13.3 2.67 6.31 1.01 0.869 0.750 0.879 0.508 0.751
EC-Earth3_CMIP6 [-] 10.3 9.42 10.8 10.6 -1.37 4.55 0.832 0.919 0.807 0.922 0.940 0.879
ERA5_BARPA [-] 10.9 10.8 11.4 10.9 -0.637 5.38 0.951 0.917 0.780 0.905 0.692 0.815
ERA5_CCAM [-] 12.6 13.1 11.5 12.5 1.60 5.71 0.808 0.908 0.772 0.915 0.595 0.792
MPI-ESM1-2-HR_BARPA [-] 10.2 11.2 11.4 9.97 -0.222 5.70 0.928 0.908 0.769 0.908 0.559 0.782
MPI-ESM1-2-HR_CMIP6 [-] 8.13 8.17 10.7 8.11 -2.52 7.39 0.708 0.872 0.722 0.947 0.914 0.835
NorESM2-MM_BARPA [-] 11.7 11.4 11.4 11.7 -0.0381 6.61 0.870 0.907 0.741 0.908 0.563 0.772
NorESM2-MM_CCAM [-] 13.8 13.9 11.5 13.8 2.36 6.10 1.08 0.886 0.768 0.875 0.915 0.842
NorESM2-MM_CMIP6 [-] 12.2 11.2 10.4 12.6 0.718 4.24 0.824 0.947 0.794 0.914 0.990 0.888
Download Data
Period Mean (original grids) [%]
Model Period Mean (intersection) [%]
Benchmark Period Mean (intersection) [%]
Model Period Mean (complement) [%]
Benchmark Period Mean (complement) [%]
Bias [%]
RMSE [%]
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 [-] 13.0 13.0 12.0 0.927 5.76 1.54 0.956 0.786 0.786 0.992 0.861
ACCESS-CM2_CCAM [-] 14.8 14.8 12.1 2.76 6.73 1.67 0.890 0.774 0.772 0.960 0.834
ACCESS-CM2_CMIP6 [-] 14.1 14.1 11.7 2.43 5.91 2.21 0.871 0.737 0.653 0.689 0.737
ACCESS-ESM1-5_BARPA [-] 13.6 13.6 12.0 1.60 6.57 1.94 0.933 0.764 0.727 0.998 0.837
ACCESS-ESM1-5_CCAM [-] 15.2 15.2 12.1 3.13 7.13 1.84 0.876 0.767 0.740 0.998 0.829
ACCESS-ESM1-5_CMIP6 [-] 13.3 13.3 11.6 1.70 5.72 1.07 0.905 0.735 0.900 0.682 0.792
CESM2_BARPA [-] 13.0 13.0 12.0 0.979 6.59 2.14 0.954 0.757 0.682 0.968 0.824
CESM2_CCAM [-] 12.7 12.7 12.1 0.625 6.26 1.54 0.950 0.773 0.801 0.985 0.856
CESM2_CMIP6 [-] 13.3 13.3 11.7 1.59 6.10 1.25 0.919 0.735 0.855 0.952 0.839
CMCC-ESM2_BARPA [-] 12.7 12.7 12.0 0.652 6.68 1.75 0.964 0.753 0.758 0.990 0.843
CMCC-ESM2_CCAM [-] 15.2 15.2 12.1 3.12 8.40 1.94 0.876 0.721 0.728 0.870 0.783
CMCC-ESM2_CMIP6 [-] 13.6 13.6 11.7 1.81 6.55 1.92 0.909 0.718 0.718 0.735 0.760
CNRM-ESM2-1_CCAM [-] 14.4 14.4 12.1 2.36 6.86 1.54 0.904 0.764 0.798 0.971 0.840
CNRM-ESM2-1_CMIP6 [-] 10.9 10.9 11.6 -0.703 5.50 1.95 0.953 0.737 0.698 0.919 0.809
EC-Earth3_BARPA [-] 11.9 11.9 12.0 -0.116 6.29 1.88 0.960 0.767 0.725 0.995 0.843
EC-Earth3_CCAM [-] 14.0 14.0 12.1 1.91 7.64 2.02 0.920 0.733 0.716 0.969 0.814
EC-Earth3_CMIP6 [-] 9.52 9.52 11.8 -2.27 5.92 1.48 0.895 0.774 0.817 0.998 0.852
ERA5_BARPA [-] 13.7 13.7 12.0 1.68 7.29 2.37 0.930 0.740 0.640 0.992 0.808
ERA5_CCAM [-] 15.8 15.8 12.1 3.74 7.68 1.98 0.853 0.756 0.707 0.933 0.801
MPI-ESM1-2-HR_BARPA [-] 11.3 11.3 12.0 -0.770 6.93 2.18 0.961 0.746 0.666 0.965 0.817
MPI-ESM1-2-HR_CMIP6 [-] 9.57 9.57 11.8 -2.22 7.02 3.17 0.892 0.718 0.480 0.991 0.760
NorESM2-MM_BARPA [-] 13.8 13.8 12.0 1.78 8.13 2.61 0.926 0.713 0.588 0.997 0.787
NorESM2-MM_CCAM [-] 14.8 14.8 12.1 2.75 7.14 1.50 0.890 0.759 0.815 0.874 0.819
NorESM2-MM_CMIP6 [-] 14.2 14.2 11.7 2.42 6.63 2.95 0.880 0.722 0.522 0.941 0.757
Download Data
Period Mean (original grids) [%]
Model Period Mean (intersection) [%]
Benchmark Period Mean (intersection) [%]
Model Period Mean (complement) [%]
Benchmark Period Mean (complement) [%]
Bias [%]
RMSE [%]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 12.5
ACCESS-CM2_BARPA [-] 13.4 13.4 12.3 1.05 5.68 1.27 0.950 0.794 0.834 0.994 0.873
ACCESS-CM2_CCAM [-] 15.0 15.0 12.4 2.62 6.70 1.33 0.894 0.780 0.834 0.997 0.857
ACCESS-CM2_CMIP6 [-] 13.2 13.2 12.4 0.811 5.69 1.60 0.945 0.739 0.716 0.985 0.825
ACCESS-ESM1-5_BARPA [-] 14.3 14.3 12.3 1.95 7.05 1.34 0.920 0.757 0.827 0.996 0.851
ACCESS-ESM1-5_CCAM [-] 16.2 16.2 12.4 3.87 7.25 1.50 0.851 0.782 0.808 0.997 0.844
ACCESS-ESM1-5_CMIP6 [-] 13.0 13.0 11.7 1.33 6.14 0.759 0.928 0.717 0.939 0.983 0.857
CESM2_BARPA [-] 12.6 12.6 12.3 0.233 6.09 1.33 0.955 0.781 0.837 0.997 0.870
CESM2_CCAM [-] 13.8 13.8 12.4 1.47 6.37 1.39 0.932 0.777 0.825 0.997 0.862
CESM2_CMIP6 [-] 12.8 12.8 11.8 0.989 6.09 1.28 0.944 0.735 0.870 0.863 0.829
CMCC-ESM2_BARPA [-] 13.2 13.2 12.3 0.863 6.60 1.56 0.951 0.763 0.808 0.984 0.854
CMCC-ESM2_CCAM [-] 14.9 14.9 12.4 2.50 7.55 1.79 0.900 0.748 0.761 0.958 0.823
CMCC-ESM2_CMIP6 [-] 11.8 11.8 11.8 -0.0616 4.35 0.287 0.956 0.804 0.975 0.762 0.860
CNRM-ESM2-1_CCAM [-] 15.7 15.7 12.4 3.29 7.63 1.71 0.871 0.756 0.771 0.970 0.825
CNRM-ESM2-1_CMIP6 [-] 10.4 10.4 11.8 -1.39 6.41 1.17 0.929 0.715 0.898 0.998 0.851
EC-Earth3_BARPA [-] 12.6 12.6 12.3 0.293 6.68 1.24 0.965 0.758 0.836 0.993 0.862
EC-Earth3_CCAM [-] 14.9 14.9 12.4 2.55 7.63 1.98 0.896 0.744 0.709 0.968 0.812
EC-Earth3_CMIP6 [-] 10.3 10.3 11.9 -1.58 4.86 1.34 0.919 0.814 0.830 0.862 0.848
ERA5_BARPA [-] 14.2 14.2 12.3 1.84 6.83 2.07 0.925 0.761 0.691 0.957 0.819
ERA5_CCAM [-] 16.7 16.7 12.4 4.36 7.63 1.76 0.834 0.775 0.751 0.987 0.825
MPI-ESM1-2-HR_BARPA [-] 11.3 11.3 12.3 -1.06 6.28 1.40 0.952 0.776 0.790 0.961 0.851
MPI-ESM1-2-HR_CMIP6 [-] 8.88 8.88 12.0 -3.11 8.79 4.99 0.858 0.663 0.141 0.983 0.661
NorESM2-MM_BARPA [-] 14.5 14.5 12.3 2.14 7.41 1.54 0.914 0.746 0.792 0.949 0.829
NorESM2-MM_CCAM [-] 15.1 15.1 12.4 2.70 7.46 1.64 0.893 0.754 0.785 0.998 0.837
NorESM2-MM_CMIP6 [-] 13.1 13.1 11.8 1.28 5.53 0.754 0.931 0.759 0.951 0.798 0.840
Download Data
Period Mean (original grids) [%]
Model Period Mean (intersection) [%]
Benchmark Period Mean (intersection) [%]
Model Period Mean (complement) [%]
Benchmark Period Mean (complement) [%]
Bias [%]
RMSE [%]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 14.3
ACCESS-CM2_BARPA [-] 14.9 14.9 14.3 0.594 6.19 0.784 0.963 0.772 0.919 0.978 0.880
ACCESS-CM2_CCAM [-] 16.7 16.7 14.3 2.42 7.00 1.10 0.902 0.764 0.877 0.885 0.839
ACCESS-CM2_CMIP6 [-] 15.2 15.2 14.3 0.900 5.79 0.248 0.950 0.735 0.984 0.321 0.745
ACCESS-ESM1-5_BARPA [-] 15.0 15.0 14.3 0.713 6.42 1.11 0.959 0.764 0.878 0.917 0.856
ACCESS-ESM1-5_CCAM [-] 17.6 17.6 14.3 3.33 7.77 1.63 0.868 0.748 0.806 0.980 0.830
ACCESS-ESM1-5_CMIP6 [-] 14.6 14.6 14.1 0.436 5.78 1.50 0.971 0.713 0.845 0.608 0.770
CESM2_BARPA [-] 14.0 14.0 14.3 -0.233 6.51 1.17 0.967 0.760 0.864 0.980 0.866
CESM2_CCAM [-] 14.5 14.5 14.3 0.250 5.79 1.17 0.957 0.788 0.875 0.983 0.878
CESM2_CMIP6 [-] 15.6 15.6 14.1 1.48 5.63 0.658 0.926 0.757 0.945 0.857 0.849
CMCC-ESM2_BARPA [-] 14.7 14.7 14.3 0.463 7.96 1.66 0.964 0.714 0.796 0.991 0.836
CMCC-ESM2_CCAM [-] 17.6 17.6 14.3 3.27 8.08 1.31 0.870 0.736 0.851 0.987 0.836
CMCC-ESM2_CMIP6 [-] 15.9 15.9 14.1 1.72 5.98 1.54 0.915 0.746 0.802 0.799 0.802
CNRM-ESM2-1_CCAM [-] 16.2 16.2 14.3 1.93 7.18 1.31 0.920 0.750 0.850 0.996 0.853
CNRM-ESM2-1_CMIP6 [-] 13.3 13.3 14.5 -1.17 5.00 0.587 0.926 0.768 0.962 0.996 0.884
EC-Earth3_BARPA [-] 14.7 14.7 14.3 0.371 6.24 1.11 0.961 0.769 0.849 0.945 0.859
EC-Earth3_CCAM [-] 16.4 16.4 14.3 2.13 7.29 1.75 0.912 0.748 0.759 0.954 0.824
EC-Earth3_CMIP6 [-] 13.2 13.2 14.3 -1.14 5.77 1.05 0.934 0.767 0.904 0.777 0.830
ERA5_BARPA [-] 15.7 15.7 14.3 1.40 6.56 1.55 0.939 0.763 0.795 0.996 0.851
ERA5_CCAM [-] 17.7 17.7 14.3 3.44 6.73 1.24 0.864 0.786 0.839 0.998 0.855
MPI-ESM1-2-HR_BARPA [-] 13.3 13.3 14.3 -0.983 5.99 0.692 0.954 0.780 0.912 0.997 0.885
MPI-ESM1-2-HR_CMIP6 [-] 11.5 11.5 14.2 -2.72 6.81 1.20 0.869 0.734 0.809 0.788 0.787
NorESM2-MM_BARPA [-] 15.8 15.8 14.3 1.53 7.42 1.67 0.935 0.735 0.753 0.998 0.831
NorESM2-MM_CCAM [-] 16.1 16.1 14.3 1.80 6.53 0.972 0.924 0.771 0.886 0.958 0.862
NorESM2-MM_CMIP6 [-] 16.1 16.1 14.1 1.91 6.00 1.90 0.905 0.745 0.728 0.993 0.823
Download Data
Period Mean (original grids) [%]
Model Period Mean (intersection) [%]
Benchmark Period Mean (intersection) [%]
Model Period Mean (complement) [%]
Benchmark Period Mean (complement) [%]
Bias [%]
RMSE [%]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 10.3
ACCESS-CM2_BARPA [-] 11.1 11.1 9.93 10.5 1.16 7.58 1.52 0.937 0.707 0.815 0.979 0.829
ACCESS-CM2_CCAM [-] 13.6 13.6 10.1 12.7 3.58 7.83 0.969 0.842 0.730 0.889 0.867 0.812
ACCESS-CM2_CMIP6 [-] 11.1 11.1 8.67 2.45 7.18 0.728 0.848 0.657 0.920 0.978 0.812
ACCESS-ESM1-5_BARPA [-] 11.4 11.4 9.93 10.7 1.44 6.13 0.846 0.926 0.764 0.895 0.983 0.867
ACCESS-ESM1-5_CCAM [-] 13.7 13.7 10.1 12.0 3.68 7.68 1.02 0.837 0.747 0.883 0.849 0.812
ACCESS-ESM1-5_CMIP6 [-] 10.0 10.0 8.59 1.41 5.98 0.639 0.908 0.689 0.948 0.978 0.842
CESM2_BARPA [-] 11.1 11.1 9.93 10.6 1.18 6.47 1.40 0.932 0.746 0.826 0.962 0.843
CESM2_CCAM [-] 11.0 11.0 10.1 11.4 0.916 6.35 1.02 0.942 0.746 0.889 0.984 0.862
CESM2_CMIP6 [-] 9.10 9.10 8.82 0.279 4.89 0.909 0.961 0.747 0.908 0.998 0.872
CMCC-ESM2_BARPA [-] 10.4 10.4 9.93 10.1 0.489 6.33 1.71 0.951 0.748 0.754 0.995 0.839
CMCC-ESM2_CCAM [-] 13.9 13.9 10.1 12.8 3.87 8.25 1.03 0.829 0.704 0.879 0.850 0.793
CMCC-ESM2_CMIP6 [-] 8.80 8.80 8.82 -0.0170 4.37 0.530 0.959 0.775 0.966 0.653 0.826
CNRM-ESM2-1_CCAM [-] 15.4 15.4 10.1 14.5 5.32 8.77 1.30 0.775 0.725 0.829 0.956 0.802
CNRM-ESM2-1_CMIP6 [-] 9.25 9.25 8.64 0.611 5.94 1.33 0.932 0.689 0.820 0.986 0.823
EC-Earth3_BARPA [-] 11.6 11.6 9.93 11.6 1.62 6.20 1.31 0.919 0.753 0.823 0.995 0.849
EC-Earth3_CCAM [-] 13.8 13.8 10.1 12.9 3.80 7.69 0.906 0.832 0.722 0.882 0.908 0.813
EC-Earth3_CMIP6 [-] 9.60 9.60 9.13 0.472 4.66 0.775 0.944 0.781 0.912 0.996 0.883
ERA5_BARPA [-] 11.6 11.6 9.93 12.1 1.64 6.41 1.35 0.920 0.749 0.837 0.968 0.845
ERA5_CCAM [-] 14.7 14.7 10.1 12.8 4.70 8.52 0.940 0.800 0.722 0.881 0.857 0.796
MPI-ESM1-2-HR_BARPA [-] 10.4 10.4 9.93 11.2 0.432 6.82 1.36 0.944 0.730 0.812 0.912 0.826
MPI-ESM1-2-HR_CMIP6 [-] 7.30 7.30 8.96 -1.67 9.63 3.87 0.906 0.598 0.355 0.995 0.690
NorESM2-MM_BARPA [-] 12.3 12.3 9.93 11.4 2.36 7.92 1.85 0.891 0.713 0.705 0.948 0.794
NorESM2-MM_CCAM [-] 13.2 13.2 10.1 11.9 3.15 7.62 0.887 0.858 0.731 0.897 0.884 0.821
NorESM2-MM_CMIP6 [-] 9.84 9.84 8.82 1.03 4.40 0.529 0.935 0.777 0.963 0.840 0.858
Download Data
Period Mean (original grids) [%]
Model Period Mean (intersection) [%]
Benchmark Period Mean (intersection) [%]
Model Period Mean (complement) [%]
Benchmark Period Mean (complement) [%]
Bias [%]
RMSE [%]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 11.4
ACCESS-CM2_BARPA [-] 12.2 12.2 11.1 11.7 1.17 7.72 1.38 0.921 0.717 0.828 0.825 0.801
ACCESS-CM2_CCAM [-] 14.8 14.8 11.2 14.3 3.65 8.44 1.21 0.833 0.721 0.855 0.641 0.754
ACCESS-CM2_CMIP6 [-] 11.6 11.6 9.57 2.06 6.98 1.26 0.871 0.662 0.844 0.726 0.753
ACCESS-ESM1-5_BARPA [-] 12.0 12.1 11.1 11.4 1.04 6.91 1.02 0.922 0.737 0.884 0.853 0.826
ACCESS-ESM1-5_CCAM [-] 14.7 14.7 11.2 14.6 3.51 7.94 1.13 0.842 0.736 0.867 0.763 0.789
ACCESS-ESM1-5_CMIP6 [-] 11.2 11.2 9.54 1.62 6.16 0.858 0.888 0.689 0.921 0.683 0.774
CESM2_BARPA [-] 11.8 11.9 11.1 11.3 0.819 7.00 1.21 0.935 0.728 0.844 0.838 0.815
CESM2_CCAM [-] 11.9 11.9 11.2 12.5 0.685 6.41 1.29 0.946 0.739 0.848 0.820 0.819
CESM2_CMIP6 [-] 10.5 10.5 9.95 0.532 4.97 0.878 0.954 0.743 0.920 0.997 0.872
CMCC-ESM2_BARPA [-] 11.6 11.7 11.1 10.8 0.664 7.66 1.87 0.935 0.703 0.728 0.862 0.786
CMCC-ESM2_CCAM [-] 15.2 15.2 11.2 15.0 4.04 8.70 1.18 0.820 0.695 0.851 0.652 0.743
CMCC-ESM2_CMIP6 [-] 8.99 8.99 9.95 -0.967 3.87 0.634 0.935 0.805 0.949 0.792 0.857
CNRM-ESM2-1_CCAM [-] 16.7 16.8 11.2 15.8 5.64 9.82 1.63 0.760 0.675 0.772 0.563 0.689
CNRM-ESM2-1_CMIP6 [-] 10.2 10.2 9.69 0.523 5.87 1.12 0.941 0.719 0.864 0.869 0.823
EC-Earth3_BARPA [-] 13.2 13.2 11.1 12.7 2.17 6.13 1.07 0.892 0.753 0.874 0.919 0.838
EC-Earth3_CCAM [-] 15.9 15.9 11.2 15.9 4.72 8.06 1.11 0.794 0.706 0.857 0.606 0.734
EC-Earth3_CMIP6 [-] 10.5 10.5 10.3 9.30 0.205 5.22 0.933 0.948 0.774 0.884 0.977 0.872
ERA5_BARPA [-] 12.6 12.7 11.1 12.0 1.62 7.10 1.50 0.913 0.732 0.792 0.969 0.828
ERA5_CCAM [-] 15.1 15.1 11.2 14.8 3.96 7.94 1.13 0.824 0.717 0.857 0.734 0.770
MPI-ESM1-2-HR_BARPA [-] 12.8 12.9 11.1 12.4 1.80 7.13 1.51 0.907 0.720 0.797 0.881 0.805
MPI-ESM1-2-HR_CMIP6 [-] 8.51 8.51 10.0 8.50 -1.54 10.8 2.45 0.912 0.613 0.631 0.920 0.738
NorESM2-MM_BARPA [-] 13.9 13.9 11.1 13.6 2.85 9.37 1.77 0.865 0.685 0.720 0.854 0.762
NorESM2-MM_CCAM [-] 14.8 14.8 11.2 15.0 3.57 7.96 1.18 0.839 0.735 0.845 0.737 0.778
NorESM2-MM_CMIP6 [-] 11.1 11.1 9.95 1.12 4.23 0.439 0.930 0.791 0.968 0.998 0.896
Download Data
Period Mean (original grids) [%]
Model Period Mean (intersection) [%]
Benchmark Period Mean (intersection) [%]
Model Period Mean (complement) [%]
Benchmark Period Mean (complement) [%]
Bias [%]
RMSE [%]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 12.7
ACCESS-CM2_BARPA [-] 13.6 13.6 12.6 1.03 7.16 2.24 0.954 0.747 0.656 0.998 0.820
ACCESS-CM2_CCAM [-] 13.8 13.8 12.6 1.20 6.81 2.00 0.943 0.760 0.719 0.976 0.831
ACCESS-CM2_CMIP6 [-] 14.0 14.0 12.4 1.66 7.18 2.15 0.912 0.692 0.654 0.971 0.784
ACCESS-ESM1-5_BARPA [-] 13.0 13.0 12.6 0.378 6.14 1.84 0.970 0.776 0.746 0.998 0.853
ACCESS-ESM1-5_CCAM [-] 13.7 13.7 12.6 1.05 6.93 2.00 0.949 0.757 0.714 0.997 0.835
ACCESS-ESM1-5_CMIP6 [-] 13.6 13.6 12.4 1.19 7.74 1.62 0.915 0.669 0.789 0.967 0.802
CESM2_BARPA [-] 13.2 13.2 12.6 0.613 6.05 1.60 0.965 0.779 0.786 0.997 0.861
CESM2_CCAM [-] 11.2 11.2 12.6 -1.42 6.36 1.65 0.942 0.776 0.769 0.983 0.849
CESM2_CMIP6 [-] 14.3 14.3 12.5 1.86 7.20 1.50 0.911 0.707 0.829 0.994 0.830
CMCC-ESM2_BARPA [-] 13.1 13.1 12.6 0.485 6.83 2.55 0.966 0.754 0.593 0.987 0.811
CMCC-ESM2_CCAM [-] 15.1 15.1 12.6 2.48 7.09 2.01 0.902 0.763 0.702 0.881 0.802
CMCC-ESM2_CMIP6 [-] 14.5 14.5 12.5 2.06 6.35 1.86 0.901 0.745 0.736 0.817 0.789
CNRM-ESM2-1_CCAM [-] 13.2 13.2 12.6 0.600 6.45 1.84 0.959 0.769 0.750 0.947 0.839
CNRM-ESM2-1_CMIP6 [-] 12.3 12.3 12.4 -0.0549 5.33 1.04 0.970 0.753 0.882 0.999 0.871
EC-Earth3_BARPA [-] 11.7 11.7 12.6 -0.944 5.95 1.57 0.958 0.785 0.789 0.999 0.863
EC-Earth3_CCAM [-] 12.7 12.7 12.6 0.0948 6.25 1.66 0.971 0.774 0.771 0.985 0.855
EC-Earth3_CMIP6 [-] 10.8 10.8 12.5 -1.70 7.73 1.29 0.919 0.704 0.826 0.934 0.818
ERA5_BARPA [-] 13.5 13.5 12.6 0.939 5.99 1.65 0.958 0.782 0.770 0.997 0.858
ERA5_CCAM [-] 14.2 14.2 12.6 1.53 6.02 1.76 0.936 0.789 0.746 0.955 0.843
MPI-ESM1-2-HR_BARPA [-] 12.5 12.5 12.6 -0.0746 6.53 1.92 0.973 0.763 0.708 0.998 0.841
MPI-ESM1-2-HR_CMIP6 [-] 11.0 11.0 12.3 -1.27 6.46 2.04 0.937 0.734 0.710 0.978 0.819
NorESM2-MM_BARPA [-] 13.9 13.9 12.6 1.29 7.02 2.48 0.943 0.751 0.616 0.976 0.807
NorESM2-MM_CCAM [-] 14.4 14.4 12.6 1.76 6.79 1.68 0.928 0.765 0.762 0.988 0.842
NorESM2-MM_CMIP6 [-] 14.6 14.6 12.5 2.16 6.71 1.97 0.898 0.730 0.717 0.850 0.785
Download Data
Period Mean (original grids) [%]
Model Period Mean (intersection) [%]
Benchmark Period Mean (intersection) [%]
Model Period Mean (complement) [%]
Benchmark Period Mean (complement) [%]
Bias [%]
RMSE [%]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 9.21
ACCESS-CM2_BARPA [-] 11.1 11.0 8.86 11.1 2.18 7.77 2.29 0.904 0.726 0.644 0.991 0.798
ACCESS-CM2_CCAM [-] 13.7 13.6 8.97 13.9 4.66 8.86 2.11 0.811 0.725 0.683 0.926 0.774
ACCESS-CM2_CMIP6 [-] 11.4 11.3 7.66 11.8 3.65 7.69 2.14 0.805 0.683 0.676 0.995 0.768
ACCESS-ESM1-5_BARPA [-] 10.9 10.9 8.86 11.0 2.04 7.11 2.00 0.909 0.745 0.701 0.991 0.818
ACCESS-ESM1-5_CCAM [-] 13.0 13.2 8.97 12.6 4.20 8.01 1.80 0.827 0.748 0.741 0.938 0.801
ACCESS-ESM1-5_CMIP6 [-] 10.5 10.5 7.71 10.3 2.84 7.24 1.45 0.845 0.689 0.813 0.991 0.806
CESM2_BARPA [-] 10.1 10.3 8.86 9.51 1.49 6.99 1.98 0.929 0.743 0.710 0.995 0.824
CESM2_CCAM [-] 9.90 10.1 8.97 9.60 1.09 7.67 2.06 0.944 0.717 0.692 0.992 0.812
CESM2_CMIP6 [-] 10.0 10.2 7.94 8.99 2.25 6.63 1.13 0.878 0.720 0.886 0.992 0.839
CMCC-ESM2_BARPA [-] 10.2 10.2 8.86 10.3 1.33 8.29 2.71 0.937 0.701 0.563 0.979 0.776
CMCC-ESM2_CCAM [-] 14.3 14.2 8.97 14.4 5.26 10.1 2.53 0.789 0.687 0.595 0.967 0.745
CMCC-ESM2_CMIP6 [-] 10.4 10.5 7.94 10.1 2.56 7.07 2.23 0.867 0.713 0.650 0.990 0.787
CNRM-ESM2-1_CCAM [-] 14.2 14.0 8.97 14.4 5.07 9.25 2.17 0.797 0.712 0.675 0.748 0.729
CNRM-ESM2-1_CMIP6 [-] 7.88 7.88 7.71 7.88 0.170 5.51 1.40 0.942 0.738 0.822 0.961 0.840
EC-Earth3_BARPA [-] 9.76 9.63 8.86 10.0 0.766 6.83 1.94 0.945 0.743 0.715 0.850 0.799
EC-Earth3_CCAM [-] 13.2 13.1 8.97 13.4 4.16 8.37 2.04 0.830 0.714 0.696 0.800 0.751
EC-Earth3_CMIP6 [-] 8.65 8.54 8.15 9.01 0.393 6.03 1.50 0.947 0.745 0.793 0.971 0.840
ERA5_BARPA [-] 10.9 10.9 8.86 10.9 2.05 7.69 2.46 0.910 0.721 0.614 0.992 0.792
ERA5_CCAM [-] 13.7 13.9 8.97 13.2 4.93 9.03 2.32 0.801 0.718 0.639 0.838 0.743
MPI-ESM1-2-HR_BARPA [-] 9.70 9.59 8.86 9.92 0.726 7.59 2.14 0.951 0.717 0.670 0.961 0.803
MPI-ESM1-2-HR_CMIP6 [-] 7.31 7.28 8.00 7.41 -0.720 10.9 3.67 0.941 0.594 0.388 0.971 0.697
NorESM2-MM_BARPA [-] 11.9 11.9 8.86 11.8 3.02 9.76 3.42 0.871 0.669 0.417 0.995 0.724
NorESM2-MM_CCAM [-] 13.6 13.5 8.97 13.7 4.52 9.13 2.09 0.816 0.716 0.685 0.991 0.785
NorESM2-MM_CMIP6 [-] 11.0 11.1 7.94 10.5 3.12 6.78 1.07 0.843 0.734 0.878 0.993 0.836
Download Data
Period Mean (original grids) [%]
Model Period Mean (intersection) [%]
Benchmark Period Mean (intersection) [%]
Model Period Mean (complement) [%]
Benchmark Period Mean (complement) [%]
Bias [%]
RMSE [%]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 9.18
ACCESS-CM2_BARPA [-] 10.4 10.3 8.86 10.4 1.47 7.32 1.78 0.933 0.731 0.740 0.853 0.798
ACCESS-CM2_CCAM [-] 11.3 11.2 8.97 11.3 2.28 7.46 2.01 0.900 0.739 0.707 0.992 0.815
ACCESS-CM2_CMIP6 [-] 10.2 10.2 7.97 10.4 2.19 6.96 1.44 0.874 0.692 0.812 0.809 0.776
ACCESS-ESM1-5_BARPA [-] 9.87 9.80 8.86 10.0 0.937 7.20 1.45 0.947 0.735 0.821 0.911 0.830
ACCESS-ESM1-5_CCAM [-] 10.3 10.4 8.97 10.2 1.40 7.27 2.00 0.929 0.735 0.704 0.973 0.815
ACCESS-ESM1-5_CMIP6 [-] 9.67 9.62 7.97 9.99 1.65 7.96 1.68 0.900 0.648 0.778 0.740 0.743
CESM2_BARPA [-] 9.45 9.55 8.86 9.20 0.689 6.46 1.70 0.955 0.757 0.765 0.867 0.820
CESM2_CCAM [-] 9.01 9.33 8.97 8.27 0.368 8.08 2.16 0.950 0.710 0.677 0.993 0.808
CESM2_CMIP6 [-] 9.97 9.90 8.13 10.2 1.77 6.66 1.26 0.903 0.718 0.843 0.940 0.825
CMCC-ESM2_BARPA [-] 10.0 9.95 8.86 10.2 1.09 8.23 2.62 0.947 0.702 0.573 0.932 0.771
CMCC-ESM2_CCAM [-] 13.2 13.2 8.97 13.2 4.20 8.29 2.28 0.831 0.738 0.644 0.981 0.786
CMCC-ESM2_CMIP6 [-] 10.4 10.5 8.13 10.3 2.33 6.43 2.10 0.879 0.734 0.664 0.938 0.790
CNRM-ESM2-1_CCAM [-] 11.8 12.0 8.97 11.4 3.01 7.18 1.57 0.874 0.755 0.790 0.959 0.827
CNRM-ESM2-1_CMIP6 [-] 8.48 8.60 7.82 7.80 0.786 5.71 1.16 0.932 0.736 0.854 0.902 0.832
EC-Earth3_BARPA [-] 8.88 9.02 8.86 8.53 0.164 6.46 1.54 0.955 0.758 0.794 0.980 0.849
EC-Earth3_CCAM [-] 10.7 10.8 8.97 10.5 1.82 6.75 1.60 0.913 0.757 0.777 0.957 0.832
EC-Earth3_CMIP6 [-] 7.67 7.70 8.27 7.58 -0.569 5.77 1.01 0.939 0.762 0.881 0.966 0.862
ERA5_BARPA [-] 10.3 10.4 8.86 10.3 1.52 6.52 1.73 0.931 0.760 0.759 0.801 0.802
ERA5_CCAM [-] 10.9 11.0 8.97 10.6 2.03 6.80 1.73 0.911 0.757 0.759 0.989 0.834
MPI-ESM1-2-HR_BARPA [-] 9.11 9.23 8.86 8.82 0.371 7.05 1.55 0.960 0.737 0.788 0.854 0.815
MPI-ESM1-2-HR_CMIP6 [-] 7.30 7.39 8.17 7.03 -0.784 7.61 2.34 0.943 0.684 0.641 0.922 0.774
NorESM2-MM_BARPA [-] 11.0 11.1 8.86 10.8 2.22 8.02 2.43 0.905 0.718 0.624 0.903 0.773
NorESM2-MM_CCAM [-] 12.4 12.4 8.97 12.3 3.39 8.20 2.11 0.861 0.729 0.676 0.932 0.786
NorESM2-MM_CMIP6 [-] 11.5 11.5 8.13 11.6 3.33 7.65 2.25 0.836 0.702 0.644 0.830 0.743
Download Data
Period Mean (original grids) [%]
Model Period Mean (intersection) [%]
Benchmark Period Mean (intersection) [%]
Model Period Mean (complement) [%]
Benchmark Period Mean (complement) [%]
Bias [%]
RMSE [%]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 15.5
ACCESS-CM2_BARPA [-] 16.8 16.8 15.5 1.30 7.20 2.77 0.934 0.739 0.568 0.956 0.787
ACCESS-CM2_CCAM [-] 16.9 16.9 15.5 1.45 6.86 2.47 0.931 0.753 0.629 0.973 0.808
ACCESS-CM2_CMIP6 [-] 17.5 17.5 16.0 1.49 6.97 1.47 0.912 0.659 0.851 0.310 0.678
ACCESS-ESM1-5_BARPA [-] 15.5 15.5 15.5 0.0395 6.02 2.46 0.953 0.774 0.612 0.996 0.822
ACCESS-ESM1-5_CCAM [-] 16.4 16.4 15.5 0.916 7.13 1.93 0.935 0.743 0.739 0.955 0.823
ACCESS-ESM1-5_CMIP6 [-] 17.8 17.8 15.8 2.09 7.26 0.00 0.894 0.689 1.00 1.00 0.854
CESM2_BARPA [-] 15.4 15.4 15.5 -0.0860 6.69 1.82 0.940 0.755 0.743 0.938 0.826
CESM2_CCAM [-] 16.1 16.1 15.5 0.563 6.38 2.24 0.953 0.764 0.661 0.970 0.823
CESM2_CMIP6 [-] 18.6 18.6 14.9 3.65 10.0 1.50 0.818 0.600 0.756 0.973 0.749
CMCC-ESM2_BARPA [-] 16.2 16.2 15.5 0.772 6.54 2.12 0.936 0.761 0.694 0.929 0.816
CMCC-ESM2_CCAM [-] 18.6 18.6 15.5 3.09 8.03 2.38 0.875 0.727 0.655 0.884 0.774
CMCC-ESM2_CMIP6 [-] 18.5 18.5 14.9 3.54 8.81 2.02 0.824 0.642 0.721 0.470 0.660
CNRM-ESM2-1_CCAM [-] 16.0 16.0 15.5 0.541 5.98 1.64 0.948 0.779 0.763 0.979 0.850
CNRM-ESM2-1_CMIP6 [-] 15.5 15.5 15.7 -0.146 5.13 0.522 0.950 0.753 0.965 0.459 0.776
EC-Earth3_BARPA [-] 15.8 15.8 15.5 0.323 7.11 1.94 0.951 0.738 0.729 0.989 0.829
EC-Earth3_CCAM [-] 16.9 16.9 15.5 1.41 6.73 1.67 0.936 0.756 0.763 0.969 0.836
EC-Earth3_CMIP6 [-] 15.7 15.7 15.1 0.629 8.85 1.84 0.939 0.641 0.761 0.740 0.744
ERA5_BARPA [-] 16.7 16.7 15.5 1.25 6.25 2.13 0.938 0.769 0.694 0.997 0.833
ERA5_CCAM [-] 16.5 16.5 15.5 1.05 5.54 1.60 0.948 0.794 0.777 0.926 0.848
MPI-ESM1-2-HR_BARPA [-] 15.4 15.4 15.5 -0.0831 6.74 2.18 0.953 0.750 0.679 0.997 0.826
MPI-ESM1-2-HR_CMIP6 [-] 16.4 16.4 15.4 0.951 7.88 1.36 0.865 0.676 0.810 0.158 0.637
NorESM2-MM_BARPA [-] 17.0 17.0 15.5 1.51 6.96 2.59 0.925 0.751 0.563 0.949 0.788
NorESM2-MM_CCAM [-] 16.4 16.4 15.5 0.947 6.44 2.44 0.951 0.764 0.625 0.970 0.815
NorESM2-MM_CMIP6 [-] 18.4 18.4 14.9 3.44 8.20 1.01 0.828 0.666 0.877 0.791 0.765
Download Data
Period Mean (original grids) [%]
Model Period Mean (intersection) [%]
Benchmark Period Mean (intersection) [%]
Model Period Mean (complement) [%]
Benchmark Period Mean (complement) [%]
Bias [%]
RMSE [%]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 15.9
ACCESS-CM2_BARPA [-] 16.0 16.0 15.9 0.0514 5.86 3.36 0.930 0.737 0.430 0.754 0.717
ACCESS-CM2_CCAM [-] 16.6 16.6 15.9 0.695 5.27 3.16 0.939 0.763 0.477 0.978 0.784
ACCESS-CM2_CMIP6 [-] 15.4 15.4 15.6 -0.188 5.14 1.02 0.986 0.680 0.933 1.00 0.856
ACCESS-ESM1-5_BARPA [-] 15.2 15.2 15.9 -0.717 5.93 2.99 0.926 0.735 0.500 0.752 0.730
ACCESS-ESM1-5_CCAM [-] 16.8 16.8 15.9 0.878 5.73 3.05 0.937 0.743 0.508 0.971 0.780
ACCESS-ESM1-5_CMIP6 [-] 17.7 17.7 15.4 2.22 7.34 2.01 0.866 0.629 0.720 0.995 0.768
CESM2_BARPA [-] 14.8 14.8 15.9 -1.09 5.34 2.70 0.914 0.763 0.564 0.702 0.741
CESM2_CCAM [-] 14.8 14.8 15.9 -1.08 5.97 3.01 0.934 0.731 0.492 0.998 0.777
CESM2_CMIP6 [-] 16.8 16.8 16.0 0.782 6.48 1.67 0.953 0.658 0.756 0.123 0.629
CMCC-ESM2_BARPA [-] 15.8 15.8 15.9 -0.121 5.91 2.77 0.933 0.733 0.556 0.754 0.742
CMCC-ESM2_CCAM [-] 18.0 18.0 15.9 2.11 5.70 3.03 0.891 0.756 0.508 0.990 0.780
CMCC-ESM2_CMIP6 [-] 17.9 17.9 16.0 1.84 7.89 0.656 0.887 0.605 0.921 0.137 0.631
CNRM-ESM2-1_CCAM [-] 16.2 16.2 15.9 0.258 5.49 3.20 0.963 0.746 0.476 0.970 0.780
CNRM-ESM2-1_CMIP6 [-] 14.5 14.5 15.6 -1.09 3.94 2.00 0.932 0.783 0.735 0.411 0.729
EC-Earth3_BARPA [-] 16.1 16.1 15.9 0.154 5.58 3.04 0.943 0.745 0.502 0.904 0.768
EC-Earth3_CCAM [-] 17.2 17.2 15.9 1.23 4.90 2.79 0.932 0.778 0.537 0.939 0.793
EC-Earth3_CMIP6 [-] 16.0 16.0 16.1 -0.0752 6.33 1.77 0.988 0.687 0.765 1.00 0.825
ERA5_BARPA [-] 16.5 16.5 15.9 0.595 4.83 2.39 0.930 0.782 0.621 0.795 0.782
ERA5_CCAM [-] 16.9 16.9 15.9 0.929 4.61 2.46 0.942 0.789 0.609 0.999 0.826
MPI-ESM1-2-HR_BARPA [-] 15.1 15.1 15.9 -0.808 6.00 3.06 0.926 0.732 0.508 0.803 0.740
MPI-ESM1-2-HR_CMIP6 [-] 17.2 17.2 15.8 1.34 5.76 2.22 0.914 0.696 0.674 0.992 0.794
NorESM2-MM_BARPA [-] 15.8 15.8 15.9 -0.0778 5.93 2.84 0.919 0.736 0.512 0.533 0.687
NorESM2-MM_CCAM [-] 16.1 16.1 15.9 0.206 5.02 2.56 0.948 0.770 0.590 0.902 0.796
NorESM2-MM_CMIP6 [-] 17.8 17.8 16.0 1.75 6.61 1.66 0.893 0.659 0.818 0.380 0.682
Download Data
Period Mean (original grids) [%]
Model Period Mean (intersection) [%]
Benchmark Period Mean (intersection) [%]
Model Period Mean (complement) [%]
Benchmark Period Mean (complement) [%]
Bias [%]
RMSE [%]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 15.7
ACCESS-CM2_BARPA [-] 15.8 15.8 15.7 0.159 6.01 2.74 0.969 0.782 0.569 0.992 0.819
ACCESS-CM2_CCAM [-] 16.0 16.0 15.7 0.305 7.28 2.60 0.966 0.743 0.591 0.966 0.802
ACCESS-CM2_CMIP6 [-] 15.1 15.1 15.3 -0.272 6.75 2.66 0.951 0.704 0.588 0.139 0.617
ACCESS-ESM1-5_BARPA [-] 15.2 15.2 15.7 -0.441 6.80 2.17 0.963 0.757 0.681 0.985 0.829
ACCESS-ESM1-5_CCAM [-] 16.5 16.5 15.7 0.749 7.77 2.32 0.956 0.729 0.656 0.986 0.812
ACCESS-ESM1-5_CMIP6 [-] 14.0 14.0 15.5 -1.55 9.43 2.31 0.923 0.618 0.654 0.151 0.593
CESM2_BARPA [-] 15.6 15.6 15.7 -0.115 6.86 2.66 0.970 0.754 0.575 0.998 0.810
CESM2_CCAM [-] 14.5 14.5 15.7 -1.21 7.05 2.35 0.943 0.755 0.633 0.994 0.816
CESM2_CMIP6 [-] 16.1 16.1 15.4 0.650 9.19 1.84 0.960 0.630 0.712 0.946 0.775
CMCC-ESM2_BARPA [-] 16.1 16.1 15.7 0.404 6.85 2.65 0.972 0.755 0.585 0.998 0.813
CMCC-ESM2_CCAM [-] 17.6 17.6 15.7 1.92 7.82 2.53 0.923 0.735 0.599 0.943 0.787
CMCC-ESM2_CMIP6 [-] 16.6 16.6 15.4 1.20 7.29 3.05 0.943 0.696 0.457 0.943 0.747
CNRM-ESM2-1_CCAM [-] 15.5 15.5 15.7 -0.216 8.00 2.44 0.964 0.721 0.630 0.903 0.788
CNRM-ESM2-1_CMIP6 [-] 15.5 15.5 16.0 -0.491 7.41 1.69 0.971 0.659 0.728 0.653 0.734
EC-Earth3_BARPA [-] 14.6 14.6 15.7 -1.07 6.51 2.11 0.948 0.770 0.671 0.998 0.831
EC-Earth3_CCAM [-] 15.9 15.9 15.7 0.188 6.93 2.25 0.958 0.755 0.640 0.956 0.813
EC-Earth3_CMIP6 [-] 13.6 13.6 15.6 -1.92 7.73 1.92 0.901 0.711 0.732 0.753 0.761
ERA5_BARPA [-] 16.6 16.6 15.7 0.932 6.43 1.90 0.952 0.771 0.695 0.929 0.824
ERA5_CCAM [-] 17.2 17.2 15.7 1.47 6.31 2.57 0.936 0.781 0.598 0.830 0.785
MPI-ESM1-2-HR_BARPA [-] 14.7 14.7 15.7 -0.980 6.36 2.10 0.949 0.774 0.669 0.943 0.822
MPI-ESM1-2-HR_CMIP6 [-] 13.9 13.9 15.5 -1.62 7.52 2.19 0.927 0.699 0.627 0.419 0.674
NorESM2-MM_BARPA [-] 16.3 16.3 15.7 0.588 6.34 2.46 0.966 0.771 0.613 0.985 0.821
NorESM2-MM_CCAM [-] 16.3 16.3 15.7 0.617 7.85 2.52 0.957 0.727 0.597 0.987 0.799
NorESM2-MM_CMIP6 [-] 16.6 16.6 15.4 1.17 6.16 2.00 0.928 0.738 0.721 0.998 0.825
Download Data
Period Mean (original grids) [%]
Model Period Mean (intersection) [%]
Benchmark Period Mean (intersection) [%]
Model Period Mean (complement) [%]
Benchmark Period Mean (complement) [%]
Bias [%]
RMSE [%]
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 [-] 16.9 16.9 16.5 0.457 7.03 1.97 0.967 0.746 0.716 0.993 0.834
ACCESS-CM2_CCAM [-] 16.1 16.1 16.5 -0.405 6.59 1.78 0.969 0.761 0.750 0.995 0.847
ACCESS-CM2_CMIP6 [-] 15.7 15.7 16.5 -0.784 8.05 1.99 0.960 0.649 0.711 0.871 0.768
ACCESS-ESM1-5_BARPA [-] 16.3 16.3 16.5 -0.144 5.68 1.53 0.961 0.790 0.802 0.944 0.857
ACCESS-ESM1-5_CCAM [-] 16.3 16.3 16.5 -0.165 6.92 1.64 0.967 0.751 0.792 0.953 0.843
ACCESS-ESM1-5_CMIP6 [-] 16.6 16.6 15.7 0.906 11.6 1.01 0.952 0.534 0.934 0.999 0.791
CESM2_BARPA [-] 16.2 16.2 16.5 -0.264 5.59 1.68 0.970 0.792 0.780 0.996 0.866
CESM2_CCAM [-] 14.8 14.8 16.5 -1.72 7.24 2.49 0.927 0.748 0.601 0.860 0.777
CESM2_CMIP6 [-] 17.3 17.3 16.2 1.02 6.99 1.81 0.951 0.711 0.764 0.821 0.791
CMCC-ESM2_BARPA [-] 16.0 16.0 16.5 -0.440 7.05 2.55 0.956 0.745 0.602 0.979 0.805
CMCC-ESM2_CCAM [-] 17.4 17.4 16.5 0.959 5.62 1.56 0.958 0.794 0.770 0.995 0.862
CMCC-ESM2_CMIP6 [-] 17.0 17.0 16.2 0.781 5.32 1.02 0.962 0.772 0.909 0.949 0.873
CNRM-ESM2-1_CCAM [-] 15.8 15.8 16.5 -0.662 6.25 1.47 0.967 0.773 0.832 0.998 0.869
CNRM-ESM2-1_CMIP6 [-] 15.3 15.3 16.8 -1.50 5.56 4.02 0.922 0.748 0.259 1.00 0.735
EC-Earth3_BARPA [-] 15.9 15.9 16.5 -0.562 6.18 1.45 0.963 0.773 0.826 0.995 0.866
EC-Earth3_CCAM [-] 15.9 15.9 16.5 -0.615 5.87 1.29 0.954 0.787 0.845 0.947 0.864
EC-Earth3_CMIP6 [-] 15.6 15.6 16.4 -0.886 9.16 1.25 0.948 0.649 0.873 0.757 0.775
ERA5_BARPA [-] 17.1 17.1 16.5 0.585 5.43 1.57 0.965 0.798 0.786 0.996 0.869
ERA5_CCAM [-] 17.0 17.0 16.5 0.566 5.04 1.48 0.963 0.814 0.823 0.979 0.879
MPI-ESM1-2-HR_BARPA [-] 16.4 16.4 16.5 -0.0939 5.61 1.28 0.967 0.791 0.817 0.973 0.868
MPI-ESM1-2-HR_CMIP6 [-] 15.3 15.3 16.4 -1.12 5.83 1.80 0.948 0.755 0.763 0.935 0.831
NorESM2-MM_BARPA [-] 16.5 16.5 16.5 0.0186 6.40 2.31 0.968 0.765 0.649 0.974 0.824
NorESM2-MM_CCAM [-] 17.1 17.1 16.5 0.620 6.52 1.49 0.968 0.764 0.811 0.964 0.854
NorESM2-MM_CMIP6 [-] 17.2 17.2 16.2 0.953 6.84 2.20 0.954 0.715 0.679 0.537 0.720
Download Data
Period Mean (original grids) [%]
Model Period Mean (intersection) [%]
Benchmark Period Mean (intersection) [%]
Model Period Mean (complement) [%]
Benchmark Period Mean (complement) [%]
Bias [%]
RMSE [%]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 13.1
ACCESS-CM2_BARPA [-] 13.3 13.3 12.8 0.521 7.77 2.43 0.965 0.732 0.614 0.920 0.793
ACCESS-CM2_CCAM [-] 12.6 12.6 12.9 -0.296 6.51 2.35 0.973 0.772 0.631 0.983 0.826
ACCESS-CM2_CMIP6 [-] 12.6 12.6 12.3 0.338 7.51 2.25 0.967 0.684 0.632 0.955 0.785
ACCESS-ESM1-5_BARPA [-] 12.4 12.4 12.8 -0.449 7.18 2.23 0.969 0.749 0.668 0.999 0.827
ACCESS-ESM1-5_CCAM [-] 11.9 11.9 12.9 -1.01 7.28 2.51 0.958 0.749 0.596 0.970 0.804
ACCESS-ESM1-5_CMIP6 [-] 11.7 11.7 12.2 -0.487 7.21 2.32 0.975 0.691 0.655 0.988 0.800
CESM2_BARPA [-] 12.9 12.9 12.8 0.0392 6.63 2.26 0.971 0.766 0.663 0.927 0.819
CESM2_CCAM [-] 11.3 11.3 12.9 -1.63 6.98 2.28 0.937 0.762 0.651 0.994 0.821
CESM2_CMIP6 [-] 13.2 13.2 12.2 0.966 6.21 1.75 0.954 0.743 0.765 0.971 0.835
CMCC-ESM2_BARPA [-] 12.2 12.2 12.8 -0.659 7.44 2.76 0.966 0.743 0.539 0.997 0.798
CMCC-ESM2_CCAM [-] 13.6 13.6 12.9 0.697 6.43 2.46 0.965 0.776 0.613 0.934 0.813
CMCC-ESM2_CMIP6 [-] 13.1 13.1 12.2 0.861 5.74 1.73 0.959 0.762 0.759 0.976 0.843
CNRM-ESM2-1_CCAM [-] 12.4 12.4 12.9 -0.589 6.50 2.26 0.966 0.773 0.659 0.931 0.820
CNRM-ESM2-1_CMIP6 [-] 10.8 10.8 11.4 -0.679 5.23 1.61 0.963 0.772 0.752 0.993 0.850
EC-Earth3_BARPA [-] 11.2 11.2 12.8 -1.60 6.65 2.20 0.936 0.773 0.679 0.939 0.820
EC-Earth3_CCAM [-] 11.9 11.9 12.9 -1.03 6.99 1.88 0.957 0.760 0.720 0.996 0.838
EC-Earth3_CMIP6 [-] 10.8 10.8 12.5 -1.69 9.41 2.61 0.926 0.654 0.552 0.922 0.742
ERA5_BARPA [-] 13.3 13.3 12.8 0.481 5.55 2.06 0.970 0.801 0.695 0.978 0.849
ERA5_CCAM [-] 13.1 13.1 12.9 0.115 6.12 2.14 0.970 0.784 0.691 0.930 0.832
MPI-ESM1-2-HR_BARPA [-] 12.5 12.5 12.8 -0.314 7.19 2.22 0.973 0.748 0.643 0.989 0.820
MPI-ESM1-2-HR_CMIP6 [-] 9.36 9.36 12.3 -2.97 7.76 2.57 0.867 0.700 0.580 0.997 0.769
NorESM2-MM_BARPA [-] 13.9 13.9 12.8 1.05 6.79 2.47 0.950 0.763 0.617 0.991 0.817
NorESM2-MM_CCAM [-] 13.9 13.9 12.9 0.964 6.70 2.58 0.960 0.768 0.568 0.998 0.812
NorESM2-MM_CMIP6 [-] 14.0 14.0 12.2 1.75 6.30 2.45 0.918 0.749 0.609 0.978 0.801
Download Data
Period Mean (original grids) [%]
Model Period Mean (intersection) [%]
Benchmark Period Mean (intersection) [%]
Model Period Mean (complement) [%]
Benchmark Period Mean (complement) [%]
Bias [%]
RMSE [%]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 12.5
ACCESS-CM2_BARPA [-] 12.8 12.8 12.3 10.9 0.555 7.82 1.61 0.960 0.719 0.791 0.957 0.829
ACCESS-CM2_CCAM [-] 12.6 12.6 12.4 11.3 0.237 5.94 1.46 0.970 0.781 0.801 0.985 0.864
ACCESS-CM2_CMIP6 [-] 12.3 12.3 11.7 0.584 8.03 1.55 0.929 0.652 0.767 0.978 0.796
ACCESS-ESM1-5_BARPA [-] 11.5 11.5 12.3 9.96 -0.742 6.70 1.59 0.954 0.756 0.803 0.959 0.846
ACCESS-ESM1-5_CCAM [-] 11.5 11.5 12.4 10.1 -0.835 6.37 1.57 0.959 0.770 0.797 0.998 0.859
ACCESS-ESM1-5_CMIP6 [-] 10.7 10.7 11.7 -1.00 8.94 1.61 0.930 0.618 0.752 0.989 0.782
CESM2_BARPA [-] 12.6 12.6 12.3 10.8 0.309 7.06 1.93 0.963 0.743 0.723 0.940 0.822
CESM2_CCAM [-] 12.2 12.2 12.4 11.7 -0.159 7.58 1.89 0.966 0.731 0.726 0.884 0.808
CESM2_CMIP6 [-] 11.7 11.7 11.9 -0.195 7.86 3.00 0.966 0.667 0.497 0.998 0.759
CMCC-ESM2_BARPA [-] 12.6 12.6 12.3 10.9 0.355 7.05 2.24 0.967 0.742 0.656 0.998 0.821
CMCC-ESM2_CCAM [-] 13.7 13.7 12.4 12.9 1.32 6.35 1.86 0.941 0.772 0.740 0.982 0.841
CMCC-ESM2_CMIP6 [-] 11.7 11.7 11.9 -0.235 5.97 0.932 0.957 0.737 0.912 0.952 0.859
CNRM-ESM2-1_CCAM [-] 13.0 13.0 12.4 12.6 0.607 6.30 1.83 0.955 0.770 0.736 0.964 0.839
CNRM-ESM2-1_CMIP6 [-] 12.0 12.0 11.5 0.516 8.06 1.60 0.906 0.656 0.752 0.919 0.777
EC-Earth3_BARPA [-] 12.2 12.2 12.3 9.69 -0.0819 7.41 1.59 0.952 0.733 0.789 0.949 0.831
EC-Earth3_CCAM [-] 12.3 12.3 12.4 10.9 -0.0326 6.85 1.75 0.963 0.752 0.759 0.983 0.842
EC-Earth3_CMIP6 [-] 11.1 11.1 11.8 -0.624 9.61 1.75 0.907 0.638 0.758 0.668 0.722
ERA5_BARPA [-] 13.2 13.2 12.3 10.9 0.943 6.02 1.53 0.953 0.779 0.783 0.943 0.847
ERA5_CCAM [-] 12.3 12.3 12.4 11.0 -0.0599 5.57 1.47 0.973 0.794 0.798 0.998 0.872
MPI-ESM1-2-HR_BARPA [-] 11.6 11.6 12.3 10.1 -0.672 6.75 1.85 0.957 0.754 0.731 0.991 0.838
MPI-ESM1-2-HR_CMIP6 [-] 10.5 10.5 11.7 -1.14 9.66 2.50 0.945 0.623 0.613 0.979 0.757
NorESM2-MM_BARPA [-] 13.4 13.5 12.3 11.2 1.19 7.32 1.55 0.944 0.737 0.808 0.994 0.844
NorESM2-MM_CCAM [-] 12.5 12.5 12.4 12.8 0.165 6.50 1.43 0.969 0.763 0.828 0.994 0.863
NorESM2-MM_CMIP6 [-] 12.4 12.4 11.9 0.542 7.31 1.36 0.958 0.687 0.851 0.928 0.822
Download Data
Period Mean (original grids) [%]
Model Period Mean (intersection) [%]
Benchmark Period Mean (intersection) [%]
Model Period Mean (complement) [%]
Benchmark Period Mean (complement) [%]
Bias [%]
RMSE [%]
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 [-] 10.8 10.8 10.8 10.4 0.0623 5.90 0.910 0.939 0.756 0.915 0.791 0.831
ACCESS-CM2_CCAM [-] 12.2 12.2 10.9 12.3 1.28 6.30 0.800 0.910 0.743 0.922 0.919 0.847
ACCESS-CM2_CMIP6 [-] 9.38 9.38 9.69 -0.306 6.80 0.791 0.944 0.653 0.927 0.756 0.787
ACCESS-ESM1-5_BARPA [-] 10.9 10.9 10.8 9.93 0.175 5.95 0.818 0.937 0.755 0.935 0.661 0.809
ACCESS-ESM1-5_CCAM [-] 12.1 12.2 10.9 11.3 1.35 6.51 0.796 0.913 0.737 0.921 0.975 0.857
ACCESS-ESM1-5_CMIP6 [-] 8.82 8.82 8.88 -0.0579 5.58 1.23 0.944 0.681 0.893 0.775 0.795
CESM2_BARPA [-] 11.0 11.0 10.8 11.0 0.194 5.55 0.893 0.938 0.767 0.929 0.913 0.863
CESM2_CCAM [-] 12.9 13.0 10.9 11.9 2.13 6.15 0.831 0.887 0.753 0.916 0.993 0.860
CESM2_CMIP6 [-] 9.18 9.18 9.44 -0.262 4.81 1.33 0.943 0.746 0.836 0.891 0.833
CMCC-ESM2_BARPA [-] 10.9 10.9 10.8 10.1 0.149 5.01 0.946 0.934 0.791 0.905 0.921 0.869
CMCC-ESM2_CCAM [-] 13.5 13.6 10.9 12.4 2.76 6.34 0.850 0.864 0.752 0.917 0.963 0.849
CMCC-ESM2_CMIP6 [-] 8.13 8.13 9.44 -1.31 3.86 0.660 0.924 0.805 0.958 0.746 0.848
CNRM-ESM2-1_CCAM [-] 13.5 13.6 10.9 13.3 2.68 6.28 0.972 0.866 0.746 0.912 0.894 0.833
CNRM-ESM2-1_CMIP6 [-] 9.68 9.68 8.78 0.896 5.00 0.820 0.909 0.737 0.947 0.900 0.846
EC-Earth3_BARPA [-] 12.0 12.1 10.8 11.1 1.29 5.32 0.969 0.918 0.773 0.895 0.993 0.871
EC-Earth3_CCAM [-] 13.6 13.6 10.9 12.8 2.75 6.38 1.03 0.861 0.747 0.877 0.912 0.829
EC-Earth3_CMIP6 [-] 8.80 8.80 9.83 -1.03 4.17 0.896 0.939 0.812 0.927 0.999 0.898
ERA5_BARPA [-] 11.7 11.7 10.8 12.0 0.909 5.30 1.03 0.930 0.780 0.885 0.851 0.845
ERA5_CCAM [-] 13.2 13.3 10.9 11.8 2.45 5.87 0.961 0.879 0.768 0.899 0.863 0.836
MPI-ESM1-2-HR_BARPA [-] 11.1 11.1 10.8 11.0 0.331 5.20 0.715 0.942 0.782 0.935 0.986 0.886
MPI-ESM1-2-HR_CMIP6 [-] 7.00 7.00 9.84 -2.84 8.00 0.786 0.850 0.707 0.950 0.987 0.840
NorESM2-MM_BARPA [-] 11.7 11.8 10.8 10.9 1.03 5.68 0.808 0.934 0.767 0.933 0.912 0.863
NorESM2-MM_CCAM [-] 13.6 13.7 10.9 12.1 2.86 6.28 1.11 0.864 0.762 0.875 0.958 0.844
NorESM2-MM_CMIP6 [-] 9.99 9.99 9.44 0.555 3.89 1.34 0.962 0.780 0.855 0.989 0.873

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 19:26:24 2024: ncatted -a missing_value,R95pTOT,d,, /g/data/xv83/users/bxn599/ACS/icclim_indices_acs/agcd/indices/none/none/AUS-r005/BOM/AGCD/historical/none/none/none/climdex/R95pTOT/v20240411/R95pTOT_AUS-r005_AGCD_historical_none_BOM_none_none_mon_19850101-20141231_masked.nc.tmp Wed Aug 28 14:05:31 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/R95pTOT/v20240411/R95pTOT_AUS-r005_AGCD_historical_none_BOM_none_none_mon_19850101-20141231_masked.nc /g/data/xv83/users/bxn599/ACS/icclim_indices_acs/agcd/indices/none/none/AUS-r005/BOM/AGCD/historical/none/none/none/climdex/R95pTOT/v20240411/R95pTOT_AUS-r005_AGCD_historical_none_BOM_none_none_mon_19850101-20141231_masked_compressed.nc Wed Jun 05 08:53:05 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/R95pTOT/v20240411/R95pTOT_AUS-r005_AGCD_historical_none_BOM_none_none_mon_19850101-20141231.nc ./indices/none/none/AUS-r005/BOM/AGCD/historical/none/none/none/climdex/R95pTOT/v20240411/R95pTOT_AUS-r005_AGCD_historical_none_BOM_none_none_mon_19850101-20141231_masked.nc Wed May 15 14:02:24 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/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 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/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 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/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 R95pTOT /g/data/xv83/users/bxn599/ACS/icclim_indices_acs/agcd/indices/none/none/AUS-r005/BOM/AGCD/historical/none/none/none/climdex/R95pTOT/v20240411/R95pTOT_AUS-r005_AGCD_historical_none_BOM_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)

  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:
R95pTOT

  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)