Mean State

Download Data
Period Mean (original grids) [d]
Model Period Mean (intersection) [d]
Benchmark Period Mean (intersection) [d]
Model Period Mean (complement) [d]
Benchmark Period Mean (complement) [d]
Bias [d]
RMSE [d]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 25.9
ACCESS-CM2_BARPA [-] 21.4 20.7 26.5 24.2 -5.84 12.2 1.43 0.799 0.718 0.795 0.822 0.770
ACCESS-CM2_CCAM [-] 21.7 21.0 26.3 24.4 -5.31 13.1 1.69 0.805 0.691 0.774 0.745 0.741
ACCESS-CM2_CMIP6 [-] 21.9 21.6 28.7 25.8 -7.09 12.5 1.38 0.754 0.701 0.827 0.719 0.740
ACCESS-ESM1-5_BARPA [-] 22.4 21.6 26.5 25.7 -4.97 12.4 1.64 0.826 0.687 0.765 0.851 0.763
ACCESS-ESM1-5_CCAM [-] 23.7 22.4 26.3 28.4 -3.91 14.1 1.69 0.781 0.677 0.779 0.958 0.775
ACCESS-ESM1-5_CMIP6 [-] 21.6 21.3 29.1 25.2 -7.77 14.7 1.64 0.740 0.662 0.788 0.772 0.725
CESM2_BARPA [-] 25.4 24.4 26.5 29.6 -2.19 10.8 1.78 0.886 0.692 0.719 0.982 0.794
CESM2_CCAM [-] 33.7 31.1 26.3 43.5 4.76 14.3 1.66 0.799 0.621 0.746 0.937 0.745
CESM2_CMIP6 [-] 23.5 23.0 28.5 27.6 -5.45 11.4 1.32 0.776 0.718 0.826 0.950 0.798
CMCC-ESM2_BARPA [-] 25.3 24.6 26.5 28.0 -1.95 12.4 1.99 0.891 0.654 0.664 0.973 0.767
CMCC-ESM2_CCAM [-] 18.5 18.2 26.3 19.3 -8.11 12.9 1.47 0.724 0.731 0.813 0.732 0.746
CMCC-ESM2_CMIP6 [-] 20.1 19.8 28.5 22.8 -8.66 12.0 1.47 0.711 0.724 0.810 0.731 0.740
CNRM-ESM2-1_CCAM [-] 21.9 21.3 26.3 24.2 -5.08 10.6 1.51 0.819 0.724 0.808 0.716 0.758
CNRM-ESM2-1_CMIP6 [-] 35.3 34.2 28.7 46.5 5.49 16.0 1.83 0.796 0.595 0.755 0.938 0.736
EC-Earth3_BARPA [-] 30.3 28.6 26.5 36.8 2.06 11.5 1.43 0.877 0.675 0.790 0.994 0.802
EC-Earth3_CCAM [-] 25.8 24.4 26.3 30.8 -1.90 10.8 1.34 0.896 0.682 0.835 0.925 0.804
EC-Earth3_CMIP6 [-] 32.4 31.2 27.9 39.8 3.30 15.3 1.26 0.825 0.608 0.852 0.991 0.777
ERA5_BARPA [-] 22.5 21.6 26.5 25.9 -4.90 9.45 1.20 0.825 0.769 0.823 0.887 0.814
ERA5_CCAM [-] 22.0 21.0 26.3 25.7 -5.36 10.1 0.957 0.806 0.773 0.890 0.871 0.823
MPI-ESM1-2-HR_BARPA [-] 30.4 29.3 26.5 34.9 2.78 11.5 1.15 0.861 0.705 0.852 0.988 0.822
MPI-ESM1-2-HR_CMIP6 [-] 58.9 56.4 28.3 76.4 28.1 43.3 1.55 0.358 0.393 0.793 0.483 0.484
NorESM2-MM_BARPA [-] 20.4 19.8 26.5 22.6 -6.73 13.4 1.66 0.773 0.702 0.739 0.747 0.732
NorESM2-MM_CCAM [-] 20.0 19.5 26.3 21.7 -6.84 13.3 1.32 0.761 0.715 0.819 0.644 0.731
NorESM2-MM_CMIP6 [-] 18.4 18.2 28.5 20.0 -10.3 15.5 1.37 0.667 0.707 0.800 0.602 0.697
Download Data
Period Mean (original grids) [d]
Model Period Mean (intersection) [d]
Benchmark Period Mean (intersection) [d]
Model Period Mean (complement) [d]
Benchmark Period Mean (complement) [d]
Bias [d]
RMSE [d]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 16.9
ACCESS-CM2_BARPA [-] 15.0 15.0 17.0 -1.99 3.53 1.41 0.834 0.776 0.815 0.951 0.836
ACCESS-CM2_CCAM [-] 14.6 14.6 17.0 -2.38 3.87 2.76 0.805 0.765 0.579 0.940 0.772
ACCESS-CM2_CMIP6 [-] 14.5 14.5 17.2 -2.69 3.93 1.53 0.760 0.751 0.789 0.769 0.766
ACCESS-ESM1-5_BARPA [-] 15.3 15.3 17.0 -1.70 4.32 1.68 0.856 0.699 0.796 0.851 0.789
ACCESS-ESM1-5_CCAM [-] 13.7 13.7 17.0 -3.33 4.59 2.89 0.741 0.758 0.556 0.838 0.727
ACCESS-ESM1-5_CMIP6 [-] 13.9 13.9 17.2 -3.32 4.34 1.17 0.718 0.763 0.875 0.558 0.732
CESM2_BARPA [-] 16.0 16.0 17.0 -0.971 4.07 1.44 0.906 0.703 0.809 0.998 0.837
CESM2_CCAM [-] 21.0 21.0 17.0 4.03 6.19 1.65 0.694 0.671 0.782 0.923 0.757
CESM2_CMIP6 [-] 14.1 14.1 17.2 -3.06 4.24 1.46 0.734 0.742 0.832 0.984 0.814
CMCC-ESM2_BARPA [-] 16.7 16.7 17.0 -0.348 4.04 1.24 0.928 0.703 0.825 0.999 0.846
CMCC-ESM2_CCAM [-] 12.9 12.9 17.0 -4.10 5.29 1.49 0.689 0.746 0.836 0.941 0.796
CMCC-ESM2_CMIP6 [-] 13.1 13.1 17.2 -4.04 5.21 2.47 0.664 0.713 0.594 0.969 0.733
CNRM-ESM2-1_CCAM [-] 15.7 15.7 17.0 -1.32 3.79 1.35 0.885 0.726 0.855 0.957 0.841
CNRM-ESM2-1_CMIP6 [-] 20.8 20.8 17.4 3.46 6.06 3.43 0.693 0.633 0.442 0.608 0.598
EC-Earth3_BARPA [-] 20.7 20.7 17.0 3.70 6.16 0.986 0.715 0.663 0.845 0.971 0.783
EC-Earth3_CCAM [-] 17.5 17.5 17.0 0.522 4.09 1.34 0.941 0.698 0.836 0.997 0.849
EC-Earth3_CMIP6 [-] 22.9 22.9 17.1 5.74 7.32 1.47 0.574 0.676 0.801 0.786 0.706
ERA5_BARPA [-] 15.6 15.6 17.0 -1.45 2.81 0.867 0.876 0.806 0.880 0.959 0.872
ERA5_CCAM [-] 13.7 13.7 17.0 -3.30 4.03 1.60 0.741 0.815 0.760 0.850 0.794
MPI-ESM1-2-HR_BARPA [-] 22.3 22.3 17.0 5.25 7.57 1.41 0.626 0.647 0.768 0.824 0.708
MPI-ESM1-2-HR_CMIP6 [-] 34.5 34.5 17.0 17.5 20.3 2.81 0.182 0.406 0.515 0.304 0.358
NorESM2-MM_BARPA [-] 15.0 15.0 17.0 -1.97 3.98 1.55 0.835 0.735 0.776 0.982 0.821
NorESM2-MM_CCAM [-] 14.7 14.7 17.0 -2.28 4.07 1.48 0.815 0.748 0.814 0.862 0.803
NorESM2-MM_CMIP6 [-] 12.7 12.7 17.2 -4.41 5.28 1.34 0.640 0.752 0.812 0.795 0.750
Download Data
Period Mean (original grids) [d]
Model Period Mean (intersection) [d]
Benchmark Period Mean (intersection) [d]
Model Period Mean (complement) [d]
Benchmark Period Mean (complement) [d]
Bias [d]
RMSE [d]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 16.0
ACCESS-CM2_BARPA [-] 14.6 14.6 16.1 -1.48 4.03 1.14 0.876 0.736 0.849 0.941 0.849
ACCESS-CM2_CCAM [-] 14.6 14.6 16.1 -1.47 4.02 1.21 0.866 0.745 0.849 0.915 0.841
ACCESS-CM2_CMIP6 [-] 15.2 15.2 15.8 -0.652 3.97 1.18 0.861 0.702 0.860 0.890 0.817
ACCESS-ESM1-5_BARPA [-] 14.3 14.3 16.1 -1.78 4.47 1.39 0.849 0.719 0.838 0.848 0.826
ACCESS-ESM1-5_CCAM [-] 12.9 12.9 16.1 -3.16 5.13 1.09 0.767 0.728 0.876 0.816 0.804
ACCESS-ESM1-5_CMIP6 [-] 13.7 13.7 16.9 -3.23 5.31 1.34 0.748 0.688 0.844 0.776 0.785
CESM2_BARPA [-] 15.5 15.5 16.1 -0.549 5.00 1.77 0.928 0.659 0.718 0.993 0.819
CESM2_CCAM [-] 17.0 17.0 16.1 0.961 4.42 1.24 0.877 0.712 0.849 0.991 0.826
CESM2_CMIP6 [-] 12.8 12.8 16.4 -3.56 5.09 0.744 0.714 0.719 0.912 0.967 0.822
CMCC-ESM2_BARPA [-] 16.3 16.3 16.1 0.192 4.85 1.49 0.920 0.676 0.801 0.957 0.831
CMCC-ESM2_CCAM [-] 13.3 13.3 16.1 -2.73 4.51 1.10 0.789 0.749 0.875 0.998 0.828
CMCC-ESM2_CMIP6 [-] 11.8 11.8 16.4 -4.54 5.62 0.857 0.649 0.735 0.896 0.994 0.801
CNRM-ESM2-1_CCAM [-] 15.3 15.3 16.1 -0.782 3.15 0.883 0.904 0.782 0.918 0.945 0.875
CNRM-ESM2-1_CMIP6 [-] 18.0 18.0 16.7 1.30 4.39 1.82 0.836 0.708 0.757 0.896 0.758
EC-Earth3_BARPA [-] 18.6 18.6 16.1 2.51 4.87 0.632 0.807 0.723 0.946 0.962 0.840
EC-Earth3_CCAM [-] 16.1 16.1 16.1 0.0780 3.58 0.927 0.931 0.750 0.915 0.997 0.882
EC-Earth3_CMIP6 [-] 19.1 19.1 16.4 2.74 5.95 0.986 0.779 0.666 0.905 0.910 0.781
ERA5_BARPA [-] 14.8 14.8 16.1 -1.25 2.86 0.745 0.894 0.809 0.941 0.981 0.895
ERA5_CCAM [-] 13.4 13.4 16.0 -2.69 3.48 0.518 0.797 0.841 0.952 0.895 0.864
MPI-ESM1-2-HR_BARPA [-] 21.5 21.5 16.1 5.42 8.75 0.601 0.629 0.601 0.947 0.881 0.755
MPI-ESM1-2-HR_CMIP6 [-] 33.1 33.1 16.2 16.9 21.7 1.01 0.232 0.359 0.903 0.348 0.478
NorESM2-MM_BARPA [-] 14.3 14.3 16.1 -1.74 4.16 1.50 0.861 0.731 0.773 0.973 0.829
NorESM2-MM_CCAM [-] 14.5 14.5 16.1 -1.61 4.10 1.18 0.863 0.743 0.834 0.849 0.820
NorESM2-MM_CMIP6 [-] 12.3 12.3 16.4 -4.10 5.56 1.59 0.680 0.707 0.757 0.888 0.753
Download Data
Period Mean (original grids) [d]
Model Period Mean (intersection) [d]
Benchmark Period Mean (intersection) [d]
Model Period Mean (complement) [d]
Benchmark Period Mean (complement) [d]
Bias [d]
RMSE [d]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 29.2
ACCESS-CM2_BARPA [-] 22.1 22.3 30.0 19.8 -7.73 22.3 0.926 0.831 0.661 0.901 0.872 0.804
ACCESS-CM2_CCAM [-] 22.1 22.2 29.7 20.9 -7.56 23.2 1.12 0.832 0.642 0.879 0.683 0.739
ACCESS-CM2_CMIP6 [-] 22.5 22.5 33.3 -10.8 22.2 0.953 0.760 0.640 0.914 0.517 0.708
ACCESS-ESM1-5_BARPA [-] 21.9 22.0 30.0 19.9 -8.01 21.1 1.11 0.823 0.679 0.871 0.868 0.802
ACCESS-ESM1-5_CCAM [-] 20.3 20.3 29.7 20.1 -9.45 26.3 1.13 0.793 0.612 0.875 0.729 0.737
ACCESS-ESM1-5_CMIP6 [-] 21.1 21.1 34.0 -12.9 26.4 1.19 0.725 0.596 0.862 0.947 0.730
CESM2_BARPA [-] 27.5 27.6 30.0 25.7 -2.42 16.4 1.59 0.931 0.695 0.795 0.960 0.832
CESM2_CCAM [-] 30.9 31.1 29.7 27.8 1.37 17.0 1.23 0.926 0.679 0.859 0.900 0.831
CESM2_CMIP6 [-] 25.0 25.0 32.7 -7.70 16.3 0.825 0.821 0.721 0.926 0.986 0.845
CMCC-ESM2_BARPA [-] 28.6 28.8 30.0 25.9 -1.21 18.9 1.55 0.918 0.658 0.799 0.991 0.827
CMCC-ESM2_CCAM [-] 22.2 22.4 29.7 20.1 -7.34 17.8 1.03 0.838 0.719 0.897 0.896 0.823
CMCC-ESM2_CMIP6 [-] 21.6 21.6 32.7 -11.1 16.2 1.02 0.758 0.746 0.898 0.908 0.822
CNRM-ESM2-1_CCAM [-] 23.5 23.6 29.7 21.6 -6.11 15.3 0.914 0.861 0.741 0.906 0.781 0.813
CNRM-ESM2-1_CMIP6 [-] 39.6 39.6 33.6 6.08 21.4 0.772 0.845 0.667 0.923 0.719 0.774
EC-Earth3_BARPA [-] 29.2 29.4 30.0 26.6 -0.605 14.3 1.04 0.932 0.729 0.884 0.929 0.857
EC-Earth3_CCAM [-] 24.9 25.1 29.7 23.2 -4.67 16.2 1.10 0.890 0.704 0.888 0.782 0.808
EC-Earth3_CMIP6 [-] 30.6 30.6 31.8 27.2 -1.25 19.5 0.844 0.941 0.641 0.919 0.992 0.854
ERA5_BARPA [-] 23.8 23.9 29.9 21.7 -6.01 15.2 0.750 0.864 0.757 0.929 0.874 0.850
ERA5_CCAM [-] 21.7 21.8 29.7 20.8 -7.90 17.0 0.693 0.824 0.741 0.937 0.789 0.815
MPI-ESM1-2-HR_BARPA [-] 33.0 33.4 30.0 27.9 3.33 18.0 0.794 0.880 0.700 0.923 0.976 0.857
MPI-ESM1-2-HR_CMIP6 [-] 57.2 57.4 32.5 33.8 24.9 55.7 1.25 0.552 0.420 0.854 0.515 0.564
NorESM2-MM_BARPA [-] 21.3 21.4 30.0 19.8 -8.65 23.4 1.20 0.813 0.652 0.861 0.789 0.766
NorESM2-MM_CCAM [-] 21.4 21.4 29.7 20.8 -8.34 21.5 0.973 0.814 0.680 0.898 0.666 0.747
NorESM2-MM_CMIP6 [-] 19.9 19.9 32.7 -12.8 23.3 0.983 0.725 0.662 0.906 0.618 0.714
Download Data
Period Mean (original grids) [d]
Model Period Mean (intersection) [d]
Benchmark Period Mean (intersection) [d]
Model Period Mean (complement) [d]
Benchmark Period Mean (complement) [d]
Bias [d]
RMSE [d]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 16.7
ACCESS-CM2_BARPA [-] 13.9 13.9 16.8 -2.98 3.88 0.767 0.761 0.805 0.914 0.892 0.839
ACCESS-CM2_CCAM [-] 15.0 15.0 16.8 -1.85 3.96 2.44 0.833 0.742 0.598 0.950 0.776
ACCESS-CM2_CMIP6 [-] 13.8 13.8 17.0 -3.18 4.20 0.750 0.724 0.769 0.925 0.841 0.810
ACCESS-ESM1-5_BARPA [-] 15.2 15.2 16.8 -1.58 3.92 1.23 0.861 0.723 0.854 0.944 0.832
ACCESS-ESM1-5_CCAM [-] 16.7 16.7 16.8 -0.156 4.15 2.99 0.896 0.701 0.483 0.998 0.762
ACCESS-ESM1-5_CMIP6 [-] 14.2 14.2 16.8 -2.58 4.70 1.60 0.739 0.685 0.799 0.793 0.746
CESM2_BARPA [-] 14.3 14.3 16.8 -2.56 3.81 0.831 0.790 0.775 0.912 0.956 0.849
CESM2_CCAM [-] 20.8 20.8 16.8 3.99 6.50 1.14 0.698 0.646 0.866 0.838 0.749
CESM2_CMIP6 [-] 12.4 12.4 16.8 -4.41 5.36 1.12 0.641 0.736 0.893 0.756 0.754
CMCC-ESM2_BARPA [-] 15.2 15.2 16.8 -1.68 3.71 0.881 0.857 0.740 0.898 0.980 0.855
CMCC-ESM2_CCAM [-] 11.7 11.7 16.8 -5.06 6.37 1.80 0.629 0.713 0.764 0.746 0.713
CMCC-ESM2_CMIP6 [-] 12.6 12.6 16.8 -4.23 5.66 1.76 0.654 0.689 0.772 0.828 0.731
CNRM-ESM2-1_CCAM [-] 15.9 15.9 16.8 -0.955 4.24 2.35 0.902 0.693 0.618 0.927 0.775
CNRM-ESM2-1_CMIP6 [-] 18.7 18.7 16.9 1.77 4.62 1.99 0.808 0.670 0.662 0.933 0.758
EC-Earth3_BARPA [-] 18.6 18.6 16.8 1.74 4.27 0.998 0.852 0.709 0.884 0.999 0.844
EC-Earth3_CCAM [-] 17.0 17.0 16.8 0.212 4.71 1.73 0.938 0.655 0.763 0.986 0.815
EC-Earth3_CMIP6 [-] 19.9 19.9 16.8 3.08 4.90 1.27 0.737 0.701 0.851 0.943 0.796
ERA5_BARPA [-] 14.4 14.4 16.9 -2.47 3.71 1.04 0.800 0.783 0.896 0.869 0.831
ERA5_CCAM [-] 14.3 14.3 16.9 -2.53 3.99 1.22 0.793 0.765 0.869 0.922 0.829
MPI-ESM1-2-HR_BARPA [-] 16.7 16.7 16.8 -0.112 2.87 0.878 0.914 0.784 0.911 0.999 0.889
MPI-ESM1-2-HR_CMIP6 [-] 26.9 26.9 17.2 9.76 13.5 1.88 0.391 0.448 0.687 0.616 0.526
NorESM2-MM_BARPA [-] 13.4 13.4 16.8 -3.43 4.23 0.777 0.730 0.802 0.922 0.889 0.832
NorESM2-MM_CCAM [-] 13.8 13.8 16.8 -3.01 3.92 1.04 0.759 0.808 0.890 0.852 0.825
NorESM2-MM_CMIP6 [-] 11.8 11.8 16.8 -5.06 5.47 0.648 0.601 0.813 0.937 0.556 0.736
Download Data
Period Mean (original grids) [d]
Model Period Mean (intersection) [d]
Benchmark Period Mean (intersection) [d]
Model Period Mean (complement) [d]
Benchmark Period Mean (complement) [d]
Bias [d]
RMSE [d]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 30.8
ACCESS-CM2_BARPA [-] 24.1 23.9 31.3 24.5 -7.38 12.7 1.83 0.776 0.732 0.732 0.754 0.756
ACCESS-CM2_CCAM [-] 24.1 23.8 31.1 24.6 -7.25 14.0 1.95 0.775 0.700 0.739 0.609 0.717
ACCESS-CM2_CMIP6 [-] 24.6 24.4 33.0 25.8 -8.57 12.9 1.60 0.736 0.724 0.794 0.690 0.747
ACCESS-ESM1-5_BARPA [-] 25.5 25.3 31.3 26.1 -5.99 13.3 1.98 0.814 0.684 0.705 0.811 0.761
ACCESS-ESM1-5_CCAM [-] 27.7 27.1 31.1 29.0 -4.00 14.2 1.75 0.771 0.698 0.767 0.975 0.795
ACCESS-ESM1-5_CMIP6 [-] 24.4 24.3 32.9 25.2 -8.64 14.5 1.76 0.734 0.690 0.770 0.768 0.753
CESM2_BARPA [-] 28.9 28.4 31.3 29.9 -2.84 12.0 2.12 0.875 0.686 0.655 0.977 0.797
CESM2_CCAM [-] 40.7 38.6 31.1 44.8 7.51 18.0 2.20 0.763 0.585 0.657 0.967 0.725
CESM2_CMIP6 [-] 26.6 26.4 32.6 27.6 -6.24 12.4 1.58 0.773 0.722 0.780 0.980 0.807
CMCC-ESM2_BARPA [-] 28.0 28.0 31.3 28.2 -3.29 14.3 2.66 0.881 0.634 0.551 0.944 0.745
CMCC-ESM2_CCAM [-] 19.6 19.8 31.1 19.3 -11.3 15.3 1.65 0.674 0.741 0.777 0.588 0.707
CMCC-ESM2_CMIP6 [-] 22.5 22.4 32.6 22.8 -10.2 13.6 1.63 0.695 0.720 0.780 0.561 0.699
CNRM-ESM2-1_CCAM [-] 23.9 23.6 31.1 24.4 -7.47 12.2 1.68 0.776 0.724 0.779 0.488 0.697
CNRM-ESM2-1_CMIP6 [-] 41.1 40.1 33.2 46.5 6.89 18.8 2.21 0.785 0.561 0.704 0.981 0.734
EC-Earth3_BARPA [-] 35.3 34.3 31.3 37.5 3.01 14.0 1.82 0.875 0.647 0.729 0.988 0.797
EC-Earth3_CCAM [-] 29.7 28.9 31.1 31.3 -2.18 12.3 1.48 0.891 0.671 0.813 0.824 0.798
EC-Earth3_CMIP6 [-] 38.1 37.6 32.3 40.0 5.26 18.4 1.43 0.803 0.582 0.826 0.978 0.780
ERA5_BARPA [-] 25.4 25.0 31.3 26.2 -6.28 10.4 1.56 0.803 0.771 0.754 0.867 0.792
ERA5_CCAM [-] 25.1 24.6 31.1 26.1 -6.56 10.9 1.03 0.791 0.783 0.876 0.894 0.839
MPI-ESM1-2-HR_BARPA [-] 34.5 34.1 31.3 35.4 2.80 12.1 1.33 0.875 0.709 0.820 0.995 0.837
MPI-ESM1-2-HR_CMIP6 [-] 70.9 69.2 32.5 76.9 36.7 50.3 1.66 0.290 0.383 0.775 0.445 0.466
NorESM2-MM_BARPA [-] 22.7 22.7 31.3 22.8 -8.55 14.6 2.18 0.745 0.706 0.650 0.581 0.682
NorESM2-MM_CCAM [-] 21.6 21.5 31.1 21.8 -9.56 15.2 1.63 0.719 0.718 0.769 0.512 0.699
NorESM2-MM_CMIP6 [-] 19.9 19.9 32.6 20.0 -12.7 17.4 1.70 0.636 0.716 0.742 0.605 0.698
Download Data
Period Mean (original grids) [d]
Model Period Mean (intersection) [d]
Benchmark Period Mean (intersection) [d]
Model Period Mean (complement) [d]
Benchmark Period Mean (complement) [d]
Bias [d]
RMSE [d]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 9.83
ACCESS-CM2_BARPA [-] 8.59 8.59 9.81 -1.22 1.99 0.964 0.790 0.775 0.874 0.996 0.848
ACCESS-CM2_CCAM [-] 9.83 9.83 9.83 -0.00258 1.79 0.795 0.866 0.757 0.899 0.994 0.869
ACCESS-CM2_CMIP6 [-] 9.78 9.78 9.72 0.0628 1.87 0.921 0.884 0.679 0.879 0.976 0.818
ACCESS-ESM1-5_BARPA [-] 9.45 9.45 9.81 -0.355 2.06 1.46 0.857 0.720 0.797 0.959 0.828
ACCESS-ESM1-5_CCAM [-] 10.1 10.1 9.83 0.232 2.14 1.31 0.842 0.712 0.813 0.952 0.821
ACCESS-ESM1-5_CMIP6 [-] 10.7 10.7 10.6 0.130 2.12 1.25 0.880 0.660 0.858 0.948 0.822
CESM2_BARPA [-] 8.35 8.35 9.81 -1.46 2.32 1.03 0.755 0.753 0.864 0.991 0.827
CESM2_CCAM [-] 9.88 9.88 9.83 0.0513 2.48 0.952 0.772 0.720 0.876 0.806 0.808
CESM2_CMIP6 [-] 8.56 8.56 10.3 -1.79 2.50 0.752 0.704 0.735 0.942 0.885 0.761
CMCC-ESM2_BARPA [-] 8.66 8.66 9.81 -1.15 2.17 1.04 0.794 0.744 0.863 0.993 0.834
CMCC-ESM2_CCAM [-] 7.92 7.92 9.83 -1.91 2.66 1.37 0.702 0.729 0.804 0.953 0.789
CMCC-ESM2_CMIP6 [-] 8.61 8.61 10.3 -1.74 2.65 1.35 0.689 0.742 0.788 0.965 0.772
CNRM-ESM2-1_CCAM [-] 10.1 10.1 9.83 0.283 2.13 1.57 0.866 0.701 0.786 0.983 0.825
CNRM-ESM2-1_CMIP6 [-] 8.35 8.35 9.12 -0.771 2.06 0.445 0.676 0.755 0.970 0.879 0.791
EC-Earth3_BARPA [-] 10.5 10.5 9.81 0.738 2.12 1.38 0.839 0.714 0.800 0.969 0.830
EC-Earth3_CCAM [-] 10.2 10.2 9.83 0.401 2.07 1.17 0.838 0.725 0.845 0.990 0.845
EC-Earth3_CMIP6 [-] 10.9 10.9 9.92 0.987 2.29 0.814 0.739 0.731 0.908 0.921 0.787
ERA5_BARPA [-] 8.77 8.77 9.81 -1.04 1.80 1.21 0.819 0.778 0.830 0.995 0.850
ERA5_CCAM [-] 9.29 9.29 9.83 -0.541 1.64 1.00 0.852 0.787 0.875 0.957 0.866
MPI-ESM1-2-HR_BARPA [-] 9.54 9.54 9.81 -0.270 1.98 1.12 0.818 0.755 0.854 0.907 0.832
MPI-ESM1-2-HR_CMIP6 [-] 12.7 12.7 9.63 3.05 4.85 1.14 0.487 0.514 0.848 0.716 0.649
NorESM2-MM_BARPA [-] 8.00 8.00 9.81 -1.81 2.46 1.16 0.713 0.754 0.822 0.994 0.815
NorESM2-MM_CCAM [-] 9.09 9.09 9.83 -0.738 1.71 0.776 0.831 0.792 0.902 0.997 0.864
NorESM2-MM_CMIP6 [-] 8.42 8.42 10.3 -1.92 2.35 0.889 0.684 0.775 0.859 0.852 0.770
Download Data
Period Mean (original grids) [d]
Model Period Mean (intersection) [d]
Benchmark Period Mean (intersection) [d]
Model Period Mean (complement) [d]
Benchmark Period Mean (complement) [d]
Bias [d]
RMSE [d]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 18.0
ACCESS-CM2_BARPA [-] 16.1 16.1 18.2 18.3 -2.08 5.83 1.37 0.863 0.706 0.821 0.993 0.837
ACCESS-CM2_CCAM [-] 19.3 19.3 18.1 21.6 1.15 6.32 1.07 0.902 0.670 0.864 0.990 0.845
ACCESS-CM2_CMIP6 [-] 18.1 18.1 18.8 -0.690 6.10 1.51 0.893 0.655 0.784 0.929 0.820
ACCESS-ESM1-5_BARPA [-] 18.2 18.2 18.2 20.6 0.0266 5.69 1.77 0.920 0.688 0.758 0.997 0.832
ACCESS-ESM1-5_CCAM [-] 23.2 23.2 18.1 27.0 5.04 8.66 1.44 0.715 0.641 0.801 0.764 0.747
ACCESS-ESM1-5_CMIP6 [-] 20.3 20.3 19.2 1.14 8.50 2.54 0.884 0.558 0.603 0.978 0.754
CESM2_BARPA [-] 17.9 17.9 18.2 21.5 -0.259 5.83 1.58 0.889 0.690 0.792 0.912 0.823
CESM2_CCAM [-] 22.6 22.6 18.1 28.3 4.47 9.70 0.553 0.728 0.620 0.948 0.666 0.727
CESM2_CMIP6 [-] 21.2 21.2 18.6 2.58 8.28 1.79 0.770 0.619 0.764 0.860 0.762
CMCC-ESM2_BARPA [-] 18.1 18.1 18.2 20.2 -0.0629 4.81 1.40 0.912 0.733 0.820 0.955 0.852
CMCC-ESM2_CCAM [-] 14.9 14.9 18.1 15.8 -3.19 6.95 1.56 0.802 0.674 0.799 0.963 0.779
CMCC-ESM2_CMIP6 [-] 17.0 17.0 18.6 -1.65 5.48 1.21 0.852 0.701 0.862 0.721 0.790
CNRM-ESM2-1_CCAM [-] 17.2 17.1 18.1 19.0 -0.963 6.64 1.95 0.912 0.650 0.721 0.932 0.801
CNRM-ESM2-1_CMIP6 [-] 22.3 22.3 19.0 3.36 9.51 1.35 0.776 0.559 0.822 0.905 0.732
EC-Earth3_BARPA [-] 20.4 20.4 18.2 24.2 2.17 6.09 1.48 0.853 0.698 0.794 0.990 0.817
EC-Earth3_CCAM [-] 19.3 19.3 18.1 22.4 1.14 6.16 1.19 0.898 0.677 0.839 0.994 0.828
EC-Earth3_CMIP6 [-] 22.1 22.1 18.7 3.44 8.55 1.54 0.782 0.603 0.808 0.995 0.784
ERA5_BARPA [-] 15.7 15.7 18.2 17.5 -2.55 5.14 0.818 0.840 0.754 0.902 0.963 0.849
ERA5_CCAM [-] 18.6 18.6 18.1 21.1 0.431 4.74 0.908 0.911 0.743 0.893 0.995 0.875
MPI-ESM1-2-HR_BARPA [-] 19.0 19.0 18.2 23.5 0.787 4.93 1.50 0.899 0.734 0.810 0.950 0.849
MPI-ESM1-2-HR_CMIP6 [-] 34.0 34.0 19.0 15.1 24.9 1.00 0.355 0.343 0.894 0.471 0.494
NorESM2-MM_BARPA [-] 15.7 15.7 18.2 17.7 -2.49 5.12 0.946 0.843 0.754 0.903 0.995 0.855
NorESM2-MM_CCAM [-] 19.3 19.3 18.1 20.6 1.22 6.33 0.876 0.861 0.691 0.902 0.963 0.843
NorESM2-MM_CMIP6 [-] 18.4 18.4 18.6 -0.238 6.56 0.749 0.871 0.677 0.939 0.971 0.813
Download Data
Period Mean (original grids) [d]
Model Period Mean (intersection) [d]
Benchmark Period Mean (intersection) [d]
Model Period Mean (complement) [d]
Benchmark Period Mean (complement) [d]
Bias [d]
RMSE [d]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 19.8
ACCESS-CM2_BARPA [-] 18.4 18.2 20.8 20.2 -2.54 12.8 0.901 0.834 0.671 0.910 0.925 0.817
ACCESS-CM2_CCAM [-] 21.7 21.7 20.6 22.3 1.12 11.8 0.881 0.883 0.667 0.911 0.986 0.840
ACCESS-CM2_CMIP6 [-] 21.6 21.6 23.3 -1.69 16.0 1.64 0.831 0.535 0.769 0.701 0.690
ACCESS-ESM1-5_BARPA [-] 16.5 16.4 20.8 17.0 -4.35 13.8 0.905 0.809 0.659 0.913 0.839 0.789
ACCESS-ESM1-5_CCAM [-] 17.6 17.7 20.6 17.2 -2.87 12.9 1.24 0.865 0.652 0.860 0.916 0.804
ACCESS-ESM1-5_CMIP6 [-] 17.5 17.5 23.1 -5.56 12.8 2.81 0.780 0.580 0.550 0.573 0.616
CESM2_BARPA [-] 22.3 22.2 20.8 25.0 1.37 13.6 1.49 0.865 0.629 0.816 0.987 0.803
CESM2_CCAM [-] 17.9 17.7 20.6 20.0 -2.87 12.2 0.996 0.876 0.663 0.903 0.899 0.816
CESM2_CMIP6 [-] 18.8 18.8 23.9 -5.07 11.4 0.346 0.819 0.671 0.978 0.412 0.715
CMCC-ESM2_BARPA [-] 24.7 24.5 20.8 27.0 3.74 16.1 1.19 0.838 0.599 0.869 0.967 0.794
CMCC-ESM2_CCAM [-] 17.7 17.5 20.6 19.2 -3.05 11.2 1.04 0.869 0.693 0.886 0.946 0.831
CMCC-ESM2_CMIP6 [-] 15.2 15.2 23.9 -8.70 11.4 1.03 0.698 0.722 0.875 0.781 0.764
CNRM-ESM2-1_CCAM [-] 23.1 23.1 20.6 22.9 2.51 11.3 0.694 0.862 0.697 0.945 0.989 0.854
CNRM-ESM2-1_CMIP6 [-] 33.3 33.3 26.3 7.02 25.2 0.849 0.781 0.516 0.916 0.993 0.770
EC-Earth3_BARPA [-] 24.1 23.9 20.8 26.0 3.16 13.4 0.854 0.840 0.666 0.922 0.952 0.825
EC-Earth3_CCAM [-] 19.6 19.4 20.6 20.7 -1.12 11.6 1.02 0.890 0.664 0.896 0.888 0.816
EC-Earth3_CMIP6 [-] 21.3 21.3 23.4 -2.08 12.8 0.745 0.889 0.619 0.939 0.846 0.800
ERA5_BARPA [-] 18.3 18.2 20.7 20.2 -2.56 10.3 0.752 0.858 0.726 0.929 0.902 0.840
ERA5_CCAM [-] 17.7 17.6 20.5 19.0 -2.90 9.34 0.661 0.873 0.750 0.941 0.916 0.857
MPI-ESM1-2-HR_BARPA [-] 26.8 26.5 20.8 30.2 5.77 16.1 0.894 0.788 0.626 0.915 0.919 0.791
MPI-ESM1-2-HR_CMIP6 [-] 48.3 48.3 23.4 24.9 51.8 1.29 0.446 0.324 0.844 0.695 0.549
NorESM2-MM_BARPA [-] 16.7 16.6 20.8 18.2 -4.15 12.9 1.09 0.835 0.668 0.900 0.701 0.764
NorESM2-MM_CCAM [-] 15.7 15.5 20.6 17.4 -5.07 11.9 0.698 0.821 0.703 0.934 0.807 0.804
NorESM2-MM_CMIP6 [-] 15.7 15.7 23.9 -8.17 12.7 0.572 0.724 0.688 0.940 0.289 0.663
Download Data
Period Mean (original grids) [d]
Model Period Mean (intersection) [d]
Benchmark Period Mean (intersection) [d]
Model Period Mean (complement) [d]
Benchmark Period Mean (complement) [d]
Bias [d]
RMSE [d]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 24.5
ACCESS-CM2_BARPA [-] 18.1 20.1 24.9 16.5 -4.89 11.6 1.36 0.809 0.714 0.806 0.865 0.781
ACCESS-CM2_CCAM [-] 18.2 20.3 24.8 16.5 -4.52 12.5 1.57 0.806 0.687 0.788 0.744 0.742
ACCESS-CM2_CMIP6 [-] 18.1 20.9 26.3 15.0 -5.50 12.1 1.34 0.782 0.687 0.830 0.851 0.767
ACCESS-ESM1-5_BARPA [-] 19.7 21.1 24.9 18.6 -3.85 11.7 1.59 0.834 0.685 0.775 0.921 0.780
ACCESS-ESM1-5_CCAM [-] 19.4 21.6 24.8 17.6 -3.17 13.4 1.58 0.785 0.674 0.792 0.950 0.775
ACCESS-ESM1-5_CMIP6 [-] 16.3 19.5 26.3 12.6 -6.83 13.9 1.64 0.745 0.653 0.786 0.833 0.734
CESM2_BARPA [-] 21.5 23.5 24.9 19.8 -1.47 10.2 1.62 0.884 0.694 0.743 0.988 0.800
CESM2_CCAM [-] 22.6 28.6 24.8 17.8 3.84 13.4 1.53 0.805 0.628 0.765 0.946 0.754
CESM2_CMIP6 [-] 17.9 21.2 26.1 14.3 -4.81 11.0 1.28 0.780 0.709 0.835 0.930 0.793
CMCC-ESM2_BARPA [-] 21.0 23.7 24.9 18.7 -1.25 11.9 1.84 0.885 0.657 0.684 0.982 0.773
CMCC-ESM2_CCAM [-] 15.1 17.4 24.8 13.2 -7.39 12.3 1.38 0.732 0.727 0.823 0.715 0.745
CMCC-ESM2_CMIP6 [-] 15.7 18.6 26.1 12.6 -7.50 11.4 1.35 0.719 0.720 0.825 0.737 0.744
CNRM-ESM2-1_CCAM [-] 18.2 20.4 24.8 16.4 -4.38 10.3 1.45 0.817 0.720 0.818 0.709 0.757
CNRM-ESM2-1_CMIP6 [-] 25.9 31.1 26.2 19.5 4.85 14.6 1.66 0.800 0.606 0.779 0.960 0.750
EC-Earth3_BARPA [-] 24.3 27.3 24.9 21.8 2.38 11.2 1.35 0.869 0.673 0.804 0.993 0.802
EC-Earth3_CCAM [-] 20.2 23.1 24.8 17.8 -1.66 10.5 1.27 0.886 0.682 0.845 0.917 0.803
EC-Earth3_CMIP6 [-] 23.5 28.6 25.9 18.4 2.72 14.1 1.21 0.829 0.613 0.860 0.989 0.781
ERA5_BARPA [-] 19.0 20.9 24.9 17.4 -4.05 8.89 1.17 0.835 0.766 0.832 0.925 0.825
ERA5_CCAM [-] 18.5 20.2 24.8 17.1 -4.59 9.58 0.923 0.812 0.769 0.896 0.876 0.825
MPI-ESM1-2-HR_BARPA [-] 24.1 27.7 24.9 21.1 2.80 11.0 1.11 0.858 0.703 0.860 0.985 0.822
MPI-ESM1-2-HR_CMIP6 [-] 37.0 48.9 26.1 24.8 22.8 36.7 1.44 0.423 0.422 0.810 0.522 0.520
NorESM2-MM_BARPA [-] 16.7 19.0 24.9 14.8 -5.98 12.6 1.55 0.781 0.701 0.759 0.786 0.746
NorESM2-MM_CCAM [-] 17.2 18.9 24.8 15.7 -5.88 12.6 1.23 0.769 0.712 0.831 0.667 0.738
NorESM2-MM_CMIP6 [-] 14.8 17.1 26.1 12.3 -9.00 14.4 1.31 0.680 0.701 0.816 0.606 0.701
Download Data
Period Mean (original grids) [d]
Model Period Mean (intersection) [d]
Benchmark Period Mean (intersection) [d]
Model Period Mean (complement) [d]
Benchmark Period Mean (complement) [d]
Bias [d]
RMSE [d]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 23.4
ACCESS-CM2_BARPA [-] 20.0 22.3 24.4 19.5 -2.09 22.4 0.869 0.857 0.596 0.912 0.947 0.782
ACCESS-CM2_CCAM [-] 17.5 20.7 24.0 16.8 -3.34 20.9 1.08 0.879 0.608 0.889 0.878 0.772
ACCESS-CM2_CMIP6 [-] 18.3 23.1 27.0 16.7 -3.86 23.7 1.29 0.849 0.531 0.847 0.883 0.728
ACCESS-ESM1-5_BARPA [-] 22.2 21.9 24.4 22.2 -2.46 21.8 0.990 0.851 0.606 0.894 0.904 0.772
ACCESS-ESM1-5_CCAM [-] 18.3 18.2 24.0 18.3 -5.80 23.9 1.22 0.848 0.574 0.873 0.789 0.732
ACCESS-ESM1-5_CMIP6 [-] 15.0 18.3 26.2 13.7 -7.91 24.9 2.16 0.786 0.516 0.697 0.981 0.699
CESM2_BARPA [-] 25.7 27.5 24.4 25.3 3.12 17.0 0.933 0.860 0.677 0.910 0.844 0.794
CESM2_CCAM [-] 15.6 21.9 24.0 14.3 -2.12 16.8 0.904 0.903 0.664 0.915 0.940 0.817
CESM2_CMIP6 [-] 16.0 20.3 27.1 14.5 -6.75 17.3 0.789 0.829 0.660 0.933 0.844 0.785
CMCC-ESM2_BARPA [-] 25.0 29.9 24.4 23.9 5.57 19.6 0.937 0.829 0.653 0.908 0.739 0.756
CMCC-ESM2_CCAM [-] 14.3 18.4 24.0 13.5 -5.61 18.2 1.01 0.855 0.662 0.896 0.953 0.806
CMCC-ESM2_CMIP6 [-] 13.0 18.3 27.1 11.2 -8.73 17.7 0.927 0.782 0.676 0.905 0.854 0.779
CNRM-ESM2-1_CCAM [-] 18.8 21.8 24.0 18.2 -2.24 15.7 0.707 0.888 0.682 0.939 0.946 0.827
CNRM-ESM2-1_CMIP6 [-] 25.8 34.1 28.4 22.5 5.67 24.5 0.736 0.849 0.606 0.940 0.973 0.795
EC-Earth3_BARPA [-] 26.1 28.2 24.4 25.6 3.82 18.6 0.825 0.864 0.660 0.923 0.952 0.812
EC-Earth3_CCAM [-] 18.4 21.0 24.0 17.9 -2.99 16.5 0.768 0.904 0.658 0.928 0.891 0.808
EC-Earth3_CMIP6 [-] 19.4 22.9 25.7 18.4 -2.79 16.1 0.623 0.908 0.655 0.939 0.979 0.827
ERA5_BARPA [-] 20.5 22.0 24.3 20.1 -2.34 15.7 0.671 0.878 0.701 0.948 0.985 0.842
ERA5_CCAM [-] 17.3 18.1 23.9 17.2 -5.85 15.5 0.616 0.849 0.715 0.950 0.895 0.825
MPI-ESM1-2-HR_BARPA [-] 25.7 29.4 24.4 24.9 5.06 20.3 0.868 0.851 0.645 0.921 0.895 0.792
MPI-ESM1-2-HR_CMIP6 [-] 26.8 40.8 26.3 22.1 14.5 42.1 0.989 0.694 0.451 0.910 0.467 0.594
NorESM2-MM_BARPA [-] 17.8 19.8 24.4 17.4 -4.58 20.2 0.685 0.864 0.636 0.940 0.971 0.810
NorESM2-MM_CCAM [-] 17.2 18.8 24.0 16.8 -5.19 17.6 0.807 0.868 0.676 0.926 0.844 0.798
NorESM2-MM_CMIP6 [-] 13.3 16.4 27.1 12.3 -10.7 20.9 0.748 0.745 0.653 0.933 0.530 0.703
Download Data
Period Mean (original grids) [d]
Model Period Mean (intersection) [d]
Benchmark Period Mean (intersection) [d]
Model Period Mean (complement) [d]
Benchmark Period Mean (complement) [d]
Bias [d]
RMSE [d]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 16.9
ACCESS-CM2_BARPA [-] 15.0 15.0 17.0 -1.99 3.53 1.41 0.834 0.776 0.815 0.951 0.830
ACCESS-CM2_CCAM [-] 14.6 14.6 17.0 -2.38 3.87 2.76 0.805 0.765 0.579 0.940 0.771
ACCESS-CM2_CMIP6 [-] 14.5 14.5 17.2 -2.69 3.93 1.53 0.760 0.751 0.789 0.769 0.764
ACCESS-ESM1-5_BARPA [-] 15.3 15.3 17.0 -1.70 4.32 1.68 0.856 0.699 0.796 0.851 0.780
ACCESS-ESM1-5_CCAM [-] 13.7 13.7 17.0 -3.33 4.59 2.89 0.741 0.758 0.556 0.838 0.730
ACCESS-ESM1-5_CMIP6 [-] 13.9 13.9 17.2 -3.32 4.34 1.17 0.718 0.763 0.875 0.558 0.735
CESM2_BARPA [-] 16.0 16.0 17.0 -0.971 4.07 1.44 0.906 0.703 0.809 0.998 0.824
CESM2_CCAM [-] 21.0 21.0 17.0 4.03 6.19 1.65 0.694 0.671 0.782 0.923 0.748
CESM2_CMIP6 [-] 14.1 14.1 17.2 -3.06 4.24 1.46 0.734 0.742 0.832 0.984 0.807
CMCC-ESM2_BARPA [-] 16.7 16.7 17.0 -0.348 4.04 1.24 0.928 0.703 0.825 0.999 0.832
CMCC-ESM2_CCAM [-] 12.9 12.9 17.0 -4.10 5.29 1.49 0.689 0.746 0.836 0.941 0.791
CMCC-ESM2_CMIP6 [-] 13.1 13.1 17.2 -4.04 5.21 2.47 0.664 0.713 0.594 0.969 0.731
CNRM-ESM2-1_CCAM [-] 15.7 15.7 17.0 -1.32 3.79 1.35 0.885 0.726 0.855 0.957 0.830
CNRM-ESM2-1_CMIP6 [-] 20.8 20.8 17.4 3.46 6.06 3.43 0.693 0.633 0.442 0.608 0.602
EC-Earth3_BARPA [-] 20.7 20.7 17.0 3.70 6.16 0.986 0.715 0.663 0.845 0.971 0.771
EC-Earth3_CCAM [-] 17.5 17.5 17.0 0.522 4.09 1.34 0.941 0.698 0.836 0.997 0.834
EC-Earth3_CMIP6 [-] 22.9 22.9 17.1 5.74 7.32 1.47 0.574 0.676 0.801 0.786 0.703
ERA5_BARPA [-] 15.6 15.6 17.0 -1.45 2.81 0.867 0.876 0.806 0.880 0.959 0.866
ERA5_CCAM [-] 13.7 13.7 17.0 -3.30 4.03 1.60 0.741 0.815 0.760 0.850 0.796
MPI-ESM1-2-HR_BARPA [-] 22.3 22.3 17.0 5.25 7.57 1.41 0.626 0.647 0.768 0.824 0.702
MPI-ESM1-2-HR_CMIP6 [-] 34.5 34.5 17.0 17.5 20.3 2.81 0.182 0.406 0.515 0.304 0.363
NorESM2-MM_BARPA [-] 15.0 15.0 17.0 -1.97 3.98 1.55 0.835 0.735 0.776 0.982 0.813
NorESM2-MM_CCAM [-] 14.7 14.7 17.0 -2.28 4.07 1.48 0.815 0.748 0.814 0.862 0.797
NorESM2-MM_CMIP6 [-] 12.7 12.7 17.2 -4.41 5.28 1.34 0.640 0.752 0.812 0.795 0.750
Download Data
Period Mean (original grids) [d]
Model Period Mean (intersection) [d]
Benchmark Period Mean (intersection) [d]
Model Period Mean (complement) [d]
Benchmark Period Mean (complement) [d]
Bias [d]
RMSE [d]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 17.9
ACCESS-CM2_BARPA [-] 16.1 16.1 18.0 -1.98 4.79 1.26 0.866 0.737 0.836 0.966 0.828
ACCESS-CM2_CCAM [-] 16.1 16.1 18.0 -1.95 4.88 1.32 0.861 0.737 0.844 0.898 0.816
ACCESS-CM2_CMIP6 [-] 16.5 16.5 17.3 -0.850 4.62 1.34 0.846 0.703 0.847 0.737 0.767
ACCESS-ESM1-5_BARPA [-] 15.4 15.4 18.0 -2.61 5.29 1.45 0.828 0.727 0.831 0.930 0.809
ACCESS-ESM1-5_CCAM [-] 14.1 14.1 18.0 -3.89 6.23 1.05 0.757 0.720 0.888 0.796 0.777
ACCESS-ESM1-5_CMIP6 [-] 14.8 14.8 18.9 -4.06 6.57 1.48 0.730 0.678 0.836 0.812 0.747
CESM2_BARPA [-] 17.3 17.3 18.0 -0.751 5.71 2.19 0.933 0.669 0.665 0.997 0.787
CESM2_CCAM [-] 18.4 18.4 18.0 0.403 4.74 1.33 0.918 0.725 0.845 0.988 0.840
CESM2_CMIP6 [-] 14.5 14.5 18.5 -3.96 5.94 0.781 0.737 0.715 0.907 0.981 0.811
CMCC-ESM2_BARPA [-] 18.7 18.7 18.0 0.671 5.78 1.66 0.931 0.671 0.784 0.959 0.803
CMCC-ESM2_CCAM [-] 15.3 15.3 18.0 -2.72 4.95 1.22 0.821 0.751 0.871 0.996 0.838
CMCC-ESM2_CMIP6 [-] 13.6 13.6 18.5 -4.89 6.21 0.782 0.683 0.741 0.920 0.990 0.815
CNRM-ESM2-1_CCAM [-] 16.8 16.8 18.0 -1.19 3.52 0.659 0.905 0.797 0.945 0.935 0.876
CNRM-ESM2-1_CMIP6 [-] 20.8 20.8 18.7 2.07 4.95 1.29 0.850 0.728 0.827 0.887 0.804
EC-Earth3_BARPA [-] 21.0 21.0 18.0 2.98 5.39 0.478 0.806 0.751 0.965 0.974 0.850
EC-Earth3_CCAM [-] 18.0 18.0 18.0 0.0433 4.17 0.825 0.937 0.752 0.934 0.991 0.873
EC-Earth3_CMIP6 [-] 21.8 21.8 18.5 3.36 7.43 0.903 0.776 0.650 0.920 0.893 0.778
ERA5_BARPA [-] 16.5 16.5 18.0 -1.50 3.25 0.616 0.894 0.819 0.959 0.980 0.894
ERA5_CCAM [-] 14.7 14.7 18.0 -3.22 4.02 0.357 0.793 0.854 0.975 0.884 0.872
MPI-ESM1-2-HR_BARPA [-] 24.3 24.3 18.0 6.31 10.2 0.462 0.633 0.612 0.966 0.890 0.742
MPI-ESM1-2-HR_CMIP6 [-] 40.1 40.1 18.3 21.8 28.1 0.665 0.190 0.321 0.946 0.492 0.454
NorESM2-MM_BARPA [-] 16.0 16.0 18.0 -1.98 4.87 1.68 0.867 0.732 0.749 0.954 0.807
NorESM2-MM_CCAM [-] 15.8 15.8 18.0 -2.17 5.01 1.28 0.855 0.736 0.822 0.744 0.779
NorESM2-MM_CMIP6 [-] 13.8 13.8 18.5 -4.69 6.44 1.56 0.695 0.713 0.772 0.872 0.753
Download Data
Period Mean (original grids) [d]
Model Period Mean (intersection) [d]
Benchmark Period Mean (intersection) [d]
Model Period Mean (complement) [d]
Benchmark Period Mean (complement) [d]
Bias [d]
RMSE [d]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 12.0
ACCESS-CM2_BARPA [-] 11.6 11.6 12.0 -0.427 2.42 0.891 0.906 0.732 0.891 0.962 0.845
ACCESS-CM2_CCAM [-] 11.5 11.5 12.0 -0.462 2.18 0.989 0.884 0.771 0.863 0.958 0.849
ACCESS-CM2_CMIP6 [-] 11.8 11.8 11.9 -0.127 2.24 0.758 0.921 0.696 0.913 0.943 0.834
ACCESS-ESM1-5_BARPA [-] 12.0 12.0 12.0 -0.0202 2.73 1.26 0.916 0.694 0.857 0.981 0.828
ACCESS-ESM1-5_CCAM [-] 10.3 10.3 12.0 -1.63 2.80 1.18 0.799 0.750 0.839 0.989 0.825
ACCESS-ESM1-5_CMIP6 [-] 11.1 11.1 12.3 -1.21 2.30 1.01 0.813 0.727 0.871 0.990 0.826
CESM2_BARPA [-] 11.9 11.9 12.0 -0.120 3.50 0.873 0.913 0.628 0.888 0.996 0.811
CESM2_CCAM [-] 14.1 14.1 12.0 2.14 3.74 1.06 0.746 0.671 0.864 0.837 0.758
CESM2_CMIP6 [-] 9.46 9.46 12.2 -2.74 3.38 0.669 0.647 0.733 0.929 0.999 0.808
CMCC-ESM2_BARPA [-] 11.2 11.2 12.0 -0.819 2.87 1.12 0.885 0.691 0.857 0.999 0.825
CMCC-ESM2_CCAM [-] 9.24 9.24 12.0 -2.74 3.58 0.853 0.688 0.741 0.886 0.853 0.782
CMCC-ESM2_CMIP6 [-] 8.35 8.35 12.2 -3.85 4.43 1.01 0.544 0.716 0.823 0.991 0.758
CNRM-ESM2-1_CCAM [-] 12.0 12.0 12.0 0.0730 2.38 1.36 0.901 0.737 0.831 0.993 0.840
CNRM-ESM2-1_CMIP6 [-] 11.3 11.3 11.8 -0.507 3.08 3.05 0.786 0.631 0.495 0.744 0.657
EC-Earth3_BARPA [-] 13.5 13.5 12.0 1.53 3.78 0.958 0.809 0.634 0.886 0.937 0.780
EC-Earth3_CCAM [-] 12.1 12.1 12.0 0.152 2.32 1.14 0.910 0.743 0.854 0.999 0.850
EC-Earth3_CMIP6 [-] 13.4 13.4 12.0 1.41 2.79 1.16 0.789 0.719 0.853 0.632 0.742
ERA5_BARPA [-] 11.3 11.3 12.0 -0.705 2.05 1.02 0.894 0.778 0.883 0.995 0.865
ERA5_CCAM [-] 10.4 10.4 12.0 -1.55 2.34 0.860 0.808 0.802 0.880 0.909 0.840
MPI-ESM1-2-HR_BARPA [-] 15.5 15.5 12.0 3.53 5.74 0.893 0.617 0.565 0.888 0.980 0.723
MPI-ESM1-2-HR_CMIP6 [-] 18.9 18.9 12.1 6.85 8.68 1.70 0.364 0.477 0.770 0.448 0.507
NorESM2-MM_BARPA [-] 10.8 10.8 12.0 -1.21 2.67 1.14 0.842 0.729 0.849 0.990 0.828
NorESM2-MM_CCAM [-] 11.5 11.5 12.0 -0.424 2.17 0.972 0.890 0.766 0.871 0.939 0.847
NorESM2-MM_CMIP6 [-] 9.31 9.31 12.2 -2.89 3.78 1.66 0.632 0.688 0.712 0.972 0.738
Download Data
Period Mean (original grids) [d]
Model Period Mean (intersection) [d]
Benchmark Period Mean (intersection) [d]
Model Period Mean (complement) [d]
Benchmark Period Mean (complement) [d]
Bias [d]
RMSE [d]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 28.1
ACCESS-CM2_BARPA [-] 23.4 23.4 29.0 22.8 -5.60 15.1 0.946 0.852 0.713 0.896 0.865 0.808
ACCESS-CM2_CCAM [-] 23.4 23.4 28.7 23.4 -5.26 16.0 1.32 0.854 0.694 0.846 0.637 0.745
ACCESS-CM2_CMIP6 [-] 22.3 22.3 31.4 -9.17 16.7 1.34 0.748 0.667 0.870 0.416 0.674
ACCESS-ESM1-5_BARPA [-] 21.8 21.8 29.0 20.4 -7.20 16.4 1.21 0.814 0.709 0.858 0.852 0.788
ACCESS-ESM1-5_CCAM [-] 19.5 19.5 28.7 18.7 -9.25 20.7 1.06 0.766 0.655 0.887 0.610 0.715
ACCESS-ESM1-5_CMIP6 [-] 19.3 19.3 31.1 -11.7 20.6 1.12 0.693 0.615 0.887 0.424 0.646
CESM2_BARPA [-] 27.3 27.3 29.0 27.6 -1.66 13.8 2.26 0.937 0.691 0.669 0.969 0.791
CESM2_CCAM [-] 28.8 28.8 28.7 25.6 0.112 14.1 1.31 0.912 0.691 0.848 0.891 0.807
CESM2_CMIP6 [-] 22.5 22.5 31.0 -8.46 13.1 0.889 0.770 0.747 0.919 0.900 0.817
CMCC-ESM2_BARPA [-] 30.6 30.6 29.0 30.1 1.66 16.7 1.62 0.928 0.641 0.801 0.982 0.799
CMCC-ESM2_CCAM [-] 23.8 23.8 28.7 22.3 -4.89 13.0 1.21 0.866 0.734 0.867 0.896 0.819
CMCC-ESM2_CMIP6 [-] 21.8 21.8 31.0 -9.14 11.7 1.15 0.753 0.758 0.891 0.962 0.824
CNRM-ESM2-1_CCAM [-] 24.6 24.6 28.7 24.1 -4.12 10.6 0.834 0.881 0.772 0.917 0.849 0.838
CNRM-ESM2-1_CMIP6 [-] 35.3 35.3 30.7 4.57 16.3 0.584 0.825 0.672 0.963 0.722 0.771
EC-Earth3_BARPA [-] 30.1 30.2 29.0 28.6 1.19 11.9 0.911 0.918 0.740 0.907 0.876 0.836
EC-Earth3_CCAM [-] 24.6 24.6 28.7 22.7 -4.07 13.6 1.35 0.886 0.710 0.854 0.832 0.799
EC-Earth3_CMIP6 [-] 30.8 30.8 30.5 0.273 15.5 0.907 0.928 0.652 0.916 0.967 0.823
ERA5_BARPA [-] 24.1 24.1 28.9 23.6 -4.82 10.5 0.764 0.870 0.794 0.926 0.846 0.846
ERA5_CCAM [-] 21.1 21.1 28.6 20.7 -7.53 14.1 0.693 0.805 0.768 0.938 0.746 0.805
MPI-ESM1-2-HR_BARPA [-] 35.6 35.7 29.0 32.8 6.69 19.4 0.687 0.812 0.655 0.942 0.985 0.810
MPI-ESM1-2-HR_CMIP6 [-] 60.5 60.5 30.7 29.8 54.2 1.20 0.424 0.383 0.844 0.545 0.516
NorESM2-MM_BARPA [-] 22.3 22.3 29.0 21.3 -6.64 16.4 1.53 0.827 0.700 0.806 0.735 0.753
NorESM2-MM_CCAM [-] 20.3 20.3 28.7 19.5 -8.43 17.6 0.851 0.785 0.706 0.909 0.720 0.765
NorESM2-MM_CMIP6 [-] 18.6 18.6 31.0 -12.4 18.4 1.04 0.684 0.702 0.892 0.435 0.683
Download Data
Period Mean (original grids) [d]
Model Period Mean (intersection) [d]
Benchmark Period Mean (intersection) [d]
Model Period Mean (complement) [d]
Benchmark Period Mean (complement) [d]
Bias [d]
RMSE [d]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 30.0
ACCESS-CM2_BARPA [-] 21.3 21.5 30.8 19.7 -9.30 27.6 0.911 0.817 0.625 0.905 0.853 0.765
ACCESS-CM2_CCAM [-] 21.2 21.2 30.5 20.8 -9.29 28.7 0.980 0.817 0.605 0.902 0.575 0.701
ACCESS-CM2_CMIP6 [-] 22.6 22.6 34.5 -11.9 25.7 0.703 0.767 0.625 0.940 0.698 0.731
ACCESS-ESM1-5_BARPA [-] 22.0 22.2 30.8 19.9 -8.60 24.6 1.04 0.829 0.659 0.880 0.901 0.786
ACCESS-ESM1-5_CCAM [-] 20.8 20.9 30.5 20.1 -9.59 30.5 1.18 0.812 0.582 0.867 0.779 0.725
ACCESS-ESM1-5_CMIP6 [-] 22.2 22.2 35.9 -13.7 30.2 1.23 0.744 0.585 0.847 0.972 0.747
CESM2_BARPA [-] 27.6 27.8 30.8 25.7 -2.98 18.3 1.10 0.928 0.699 0.883 0.966 0.835
CESM2_CCAM [-] 32.3 32.8 30.5 27.8 2.31 19.2 1.17 0.936 0.670 0.867 0.945 0.818
CESM2_CMIP6 [-] 26.7 26.7 33.9 -7.18 18.5 0.780 0.853 0.704 0.930 0.995 0.837
CMCC-ESM2_BARPA [-] 27.3 27.5 30.8 25.7 -3.33 20.5 1.50 0.911 0.670 0.799 0.989 0.808
CMCC-ESM2_CCAM [-] 21.2 21.3 30.5 20.0 -9.19 21.4 0.896 0.818 0.709 0.918 0.826 0.796
CMCC-ESM2_CMIP6 [-] 21.5 21.5 33.9 -12.4 19.3 0.923 0.762 0.738 0.902 0.861 0.800
CNRM-ESM2-1_CCAM [-] 22.8 22.9 30.5 21.5 -7.60 18.8 0.974 0.847 0.719 0.898 0.651 0.767
CNRM-ESM2-1_CMIP6 [-] 42.3 42.3 35.3 7.02 24.6 0.890 0.856 0.663 0.901 0.645 0.746
EC-Earth3_BARPA [-] 28.6 28.9 30.8 26.5 -1.93 16.1 1.13 0.942 0.721 0.867 0.965 0.843
EC-Earth3_CCAM [-] 25.2 25.4 30.5 23.2 -5.13 18.2 0.915 0.893 0.700 0.912 0.747 0.791
EC-Earth3_CMIP6 [-] 30.4 30.5 32.7 27.2 -2.23 22.0 0.804 0.948 0.634 0.921 0.996 0.827
ERA5_BARPA [-] 23.6 23.8 30.7 21.6 -6.88 18.6 0.739 0.859 0.731 0.931 0.916 0.834
ERA5_CCAM [-] 22.1 22.3 30.4 20.8 -8.18 19.1 0.693 0.837 0.722 0.936 0.819 0.807
MPI-ESM1-2-HR_BARPA [-] 31.3 31.7 30.8 27.7 0.854 17.0 0.873 0.927 0.732 0.910 0.993 0.859
MPI-ESM1-2-HR_CMIP6 [-] 55.1 55.3 33.7 33.8 21.6 56.7 1.28 0.631 0.442 0.859 0.439 0.563
NorESM2-MM_BARPA [-] 20.6 20.7 30.8 19.8 -10.1 28.6 0.962 0.802 0.620 0.900 0.803 0.749
NorESM2-MM_CCAM [-] 22.1 22.3 30.5 20.9 -8.27 24.5 1.06 0.835 0.661 0.891 0.461 0.702
NorESM2-MM_CMIP6 [-] 20.8 20.8 33.9 -13.1 26.7 0.942 0.750 0.637 0.914 0.698 0.727
Download Data
Period Mean (original grids) [d]
Model Period Mean (intersection) [d]
Benchmark Period Mean (intersection) [d]
Model Period Mean (complement) [d]
Benchmark Period Mean (complement) [d]
Bias [d]
RMSE [d]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 16.7
ACCESS-CM2_BARPA [-] 13.9 13.9 16.8 -2.98 3.88 0.767 0.761 0.805 0.914 0.892 0.835
ACCESS-CM2_CCAM [-] 15.0 15.0 16.8 -1.85 3.96 2.44 0.833 0.742 0.598 0.950 0.773
ACCESS-CM2_CMIP6 [-] 13.8 13.8 17.0 -3.18 4.20 0.750 0.724 0.769 0.925 0.841 0.806
ACCESS-ESM1-5_BARPA [-] 15.2 15.2 16.8 -1.58 3.92 1.23 0.861 0.723 0.854 0.944 0.821
ACCESS-ESM1-5_CCAM [-] 16.7 16.7 16.8 -0.156 4.15 2.99 0.896 0.701 0.483 0.998 0.756
ACCESS-ESM1-5_CMIP6 [-] 14.2 14.2 16.8 -2.58 4.70 1.60 0.739 0.685 0.799 0.793 0.740
CESM2_BARPA [-] 14.3 14.3 16.8 -2.56 3.81 0.831 0.790 0.775 0.912 0.956 0.842
CESM2_CCAM [-] 20.8 20.8 16.8 3.99 6.50 1.14 0.698 0.646 0.866 0.838 0.739
CESM2_CMIP6 [-] 12.4 12.4 16.8 -4.41 5.36 1.12 0.641 0.736 0.893 0.756 0.753
CMCC-ESM2_BARPA [-] 15.2 15.2 16.8 -1.68 3.71 0.881 0.857 0.740 0.898 0.980 0.843
CMCC-ESM2_CCAM [-] 11.7 11.7 16.8 -5.06 6.37 1.80 0.629 0.713 0.764 0.746 0.713
CMCC-ESM2_CMIP6 [-] 12.6 12.6 16.8 -4.23 5.66 1.76 0.654 0.689 0.772 0.828 0.726
CNRM-ESM2-1_CCAM [-] 15.9 15.9 16.8 -0.955 4.24 2.35 0.902 0.693 0.618 0.927 0.766
CNRM-ESM2-1_CMIP6 [-] 18.7 18.7 16.9 1.77 4.62 1.99 0.808 0.670 0.662 0.933 0.749
EC-Earth3_BARPA [-] 18.6 18.6 16.8 1.74 4.27 0.998 0.852 0.709 0.884 0.999 0.831
EC-Earth3_CCAM [-] 17.0 17.0 16.8 0.212 4.71 1.73 0.938 0.655 0.763 0.986 0.799
EC-Earth3_CMIP6 [-] 19.9 19.9 16.8 3.08 4.90 1.27 0.737 0.701 0.851 0.943 0.787
ERA5_BARPA [-] 14.4 14.4 16.9 -2.47 3.71 1.04 0.800 0.783 0.896 0.869 0.826
ERA5_CCAM [-] 14.3 14.3 16.9 -2.53 3.99 1.22 0.793 0.765 0.869 0.922 0.823
MPI-ESM1-2-HR_BARPA [-] 16.7 16.7 16.8 -0.112 2.87 0.878 0.914 0.784 0.911 0.999 0.878
MPI-ESM1-2-HR_CMIP6 [-] 26.9 26.9 17.2 9.76 13.5 1.88 0.391 0.448 0.687 0.616 0.518
NorESM2-MM_BARPA [-] 13.4 13.4 16.8 -3.43 4.23 0.777 0.730 0.802 0.922 0.889 0.829
NorESM2-MM_CCAM [-] 13.8 13.8 16.8 -3.01 3.92 1.04 0.759 0.808 0.890 0.852 0.823
NorESM2-MM_CMIP6 [-] 11.8 11.8 16.8 -5.06 5.47 0.648 0.601 0.813 0.937 0.556 0.744
Download Data
Period Mean (original grids) [d]
Model Period Mean (intersection) [d]
Benchmark Period Mean (intersection) [d]
Model Period Mean (complement) [d]
Benchmark Period Mean (complement) [d]
Bias [d]
RMSE [d]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 32.8
ACCESS-CM2_BARPA [-] 25.1 24.8 33.4 25.7 -8.54 15.2 2.00 0.771 0.719 0.704 0.704 0.723
ACCESS-CM2_CCAM [-] 23.6 23.2 33.2 24.2 -9.96 17.3 1.89 0.740 0.694 0.757 0.570 0.691
ACCESS-CM2_CMIP6 [-] 25.4 25.1 35.6 26.9 -10.4 15.4 1.40 0.720 0.721 0.828 0.765 0.751
ACCESS-ESM1-5_BARPA [-] 26.3 25.8 33.4 27.2 -7.59 15.8 2.16 0.794 0.678 0.673 0.837 0.732
ACCESS-ESM1-5_CCAM [-] 25.4 24.3 33.2 27.3 -8.85 16.3 1.56 0.759 0.706 0.796 0.988 0.791
ACCESS-ESM1-5_CMIP6 [-] 24.6 24.3 35.8 26.5 -11.5 17.8 1.45 0.701 0.696 0.815 0.856 0.753
CESM2_BARPA [-] 30.4 29.6 33.4 31.9 -3.79 14.2 2.64 0.875 0.674 0.567 0.969 0.752
CESM2_CCAM [-] 43.0 40.6 33.2 47.3 7.37 18.8 2.17 0.793 0.603 0.671 0.914 0.717
CESM2_CMIP6 [-] 27.2 26.6 35.1 30.1 -8.44 14.0 1.73 0.765 0.733 0.763 0.986 0.796
CMCC-ESM2_BARPA [-] 30.0 29.9 33.4 30.2 -3.49 17.0 2.96 0.889 0.618 0.496 0.927 0.710
CMCC-ESM2_CCAM [-] 20.5 20.6 33.2 20.2 -12.6 17.6 1.80 0.680 0.733 0.755 0.536 0.687
CMCC-ESM2_CMIP6 [-] 23.4 23.3 35.1 23.8 -11.7 15.8 1.78 0.694 0.708 0.764 0.579 0.690
CNRM-ESM2-1_CCAM [-] 24.6 24.4 33.2 25.1 -8.78 14.1 1.60 0.769 0.727 0.794 0.486 0.701
CNRM-ESM2-1_CMIP6 [-] 44.3 43.1 35.5 51.1 7.56 18.9 1.92 0.798 0.606 0.751 0.973 0.747
EC-Earth3_BARPA [-] 37.2 36.3 33.4 38.8 2.97 16.3 1.92 0.884 0.641 0.714 0.988 0.774
EC-Earth3_CCAM [-] 29.9 29.2 33.2 31.2 -3.97 14.1 1.46 0.888 0.671 0.822 0.877 0.786
EC-Earth3_CMIP6 [-] 39.6 39.3 34.8 40.6 4.51 21.1 1.41 0.838 0.576 0.831 0.985 0.761
ERA5_BARPA [-] 27.3 26.8 33.4 28.3 -6.56 11.7 1.72 0.820 0.766 0.721 0.814 0.777
ERA5_CCAM [-] 24.8 23.9 33.2 26.4 -9.29 13.0 0.836 0.753 0.797 0.906 0.911 0.833
MPI-ESM1-2-HR_BARPA [-] 37.9 37.6 33.4 38.5 4.21 15.5 1.27 0.853 0.686 0.829 0.965 0.804
MPI-ESM1-2-HR_CMIP6 [-] 77.3 76.0 35.0 82.6 41.0 56.5 1.40 0.309 0.409 0.815 0.412 0.471
NorESM2-MM_BARPA [-] 23.7 23.7 33.4 23.8 -9.66 17.6 2.66 0.747 0.686 0.565 0.505 0.638
NorESM2-MM_CCAM [-] 21.8 21.4 33.2 22.4 -11.8 18.3 1.83 0.697 0.710 0.742 0.454 0.663
NorESM2-MM_CMIP6 [-] 20.3 20.1 35.1 21.4 -15.0 20.8 1.90 0.626 0.706 0.713 0.616 0.673
Download Data
Period Mean (original grids) [d]
Model Period Mean (intersection) [d]
Benchmark Period Mean (intersection) [d]
Model Period Mean (complement) [d]
Benchmark Period Mean (complement) [d]
Bias [d]
RMSE [d]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 27.8
ACCESS-CM2_BARPA [-] 22.4 22.4 28.0 22.3 -5.59 8.84 1.56 0.784 0.756 0.783 0.882 0.792
ACCESS-CM2_CCAM [-] 25.0 24.8 27.9 25.4 -3.14 9.09 2.05 0.839 0.711 0.707 0.776 0.749
ACCESS-CM2_CMIP6 [-] 23.3 23.1 28.4 24.5 -5.29 8.32 1.96 0.770 0.729 0.719 0.794 0.748
ACCESS-ESM1-5_BARPA [-] 24.3 24.5 28.0 23.9 -3.52 9.34 1.70 0.850 0.696 0.763 0.903 0.782
ACCESS-ESM1-5_CCAM [-] 31.6 31.3 27.9 32.3 3.38 10.9 2.05 0.793 0.683 0.714 0.984 0.771
ACCESS-ESM1-5_CMIP6 [-] 24.1 24.2 28.3 23.6 -4.08 9.29 2.27 0.800 0.677 0.678 0.916 0.750
CESM2_BARPA [-] 26.5 26.6 28.0 26.2 -1.39 8.53 1.34 0.876 0.709 0.816 0.993 0.821
CESM2_CCAM [-] 36.9 35.6 27.9 39.9 7.72 16.7 2.25 0.708 0.552 0.632 0.996 0.688
CESM2_CMIP6 [-] 25.6 25.9 28.5 24.4 -2.59 9.67 1.32 0.791 0.699 0.815 0.955 0.792
CMCC-ESM2_BARPA [-] 24.8 25.0 28.0 24.3 -2.98 10.1 2.21 0.866 0.663 0.652 0.936 0.756
CMCC-ESM2_CCAM [-] 18.3 18.6 27.9 17.4 -9.33 11.7 1.42 0.664 0.756 0.817 0.724 0.743
CMCC-ESM2_CMIP6 [-] 21.0 20.9 28.5 21.5 -7.65 9.81 1.39 0.697 0.744 0.814 0.614 0.723
CNRM-ESM2-1_CCAM [-] 22.6 22.4 27.9 23.0 -5.48 9.45 1.81 0.790 0.719 0.752 0.526 0.701
CNRM-ESM2-1_CMIP6 [-] 35.3 34.9 29.2 37.7 5.74 18.6 2.71 0.757 0.468 0.604 0.992 0.658
EC-Earth3_BARPA [-] 32.3 31.1 28.0 35.1 3.07 10.6 1.66 0.858 0.656 0.756 0.979 0.781
EC-Earth3_CCAM [-] 29.4 28.5 27.9 31.6 0.528 9.62 1.52 0.896 0.671 0.795 0.882 0.783
EC-Earth3_CMIP6 [-] 35.8 34.9 28.4 39.0 6.48 14.0 1.46 0.732 0.594 0.818 0.993 0.746
ERA5_BARPA [-] 22.1 22.2 28.0 22.1 -5.86 8.40 1.33 0.772 0.781 0.814 0.846 0.799
ERA5_CCAM [-] 25.5 25.5 27.9 25.5 -2.41 7.68 1.33 0.861 0.758 0.822 0.967 0.833
MPI-ESM1-2-HR_BARPA [-] 28.8 28.6 28.0 29.3 0.618 6.93 1.43 0.917 0.750 0.805 0.965 0.837
MPI-ESM1-2-HR_CMIP6 [-] 60.3 57.7 28.3 68.9 29.4 39.6 2.10 0.249 0.326 0.690 0.567 0.432
NorESM2-MM_BARPA [-] 21.1 21.2 28.0 20.8 -6.83 10.1 1.43 0.742 0.742 0.806 0.686 0.744
NorESM2-MM_CCAM [-] 21.4 21.7 27.9 20.6 -6.19 10.5 1.32 0.760 0.732 0.818 0.737 0.755
NorESM2-MM_CMIP6 [-] 19.2 19.5 28.5 18.2 -9.02 11.8 1.37 0.654 0.736 0.801 0.804 0.746
Download Data
Period Mean (original grids) [d]
Model Period Mean (intersection) [d]
Benchmark Period Mean (intersection) [d]
Model Period Mean (complement) [d]
Benchmark Period Mean (complement) [d]
Bias [d]
RMSE [d]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 10.3
ACCESS-CM2_BARPA [-] 8.95 8.95 10.3 -1.38 2.28 1.74 0.751 0.764 0.748 0.949 0.795
ACCESS-CM2_CCAM [-] 9.29 9.29 10.4 -1.06 2.24 1.20 0.770 0.738 0.840 0.961 0.810
ACCESS-CM2_CMIP6 [-] 8.36 8.36 9.01 -0.647 1.43 0.00 0.838 0.705 1.00 1.00 0.850
ACCESS-ESM1-5_BARPA [-] 9.93 9.93 10.3 -0.407 2.26 2.02 0.794 0.710 0.712 0.864 0.758
ACCESS-ESM1-5_CCAM [-] 9.76 9.76 10.4 -0.596 2.46 2.33 0.788 0.687 0.627 0.858 0.729
ACCESS-ESM1-5_CMIP6 [-] 10.6 10.6 10.1 0.447 1.88 1.97 0.898 0.645 0.764 1.00 0.790
CESM2_BARPA [-] 8.71 8.71 10.3 -1.62 2.70 1.70 0.710 0.728 0.745 0.859 0.754
CESM2_CCAM [-] 8.24 8.24 10.4 -2.11 2.92 1.71 0.676 0.719 0.737 0.916 0.753
CESM2_CMIP6 [-] 7.86 7.86 10.6 -2.71 2.97 0.00 0.557 0.770 1.00 0.873 0.794
CMCC-ESM2_BARPA [-] 9.40 9.40 10.3 -0.932 2.56 1.94 0.776 0.680 0.725 0.884 0.749
CMCC-ESM2_CCAM [-] 7.41 7.41 10.4 -2.95 3.42 1.98 0.577 0.733 0.719 0.950 0.742
CMCC-ESM2_CMIP6 [-] 8.66 8.66 10.6 -1.91 2.57 1.53 0.660 0.712 0.756 0.771 0.722
CNRM-ESM2-1_CCAM [-] 9.91 9.91 10.4 -0.441 2.40 2.33 0.798 0.687 0.652 0.932 0.751
CNRM-ESM2-1_CMIP6 [-] 8.12 8.12 10.2 -2.03 2.51 0.00 0.634 0.761 1.00 0.175 0.666
EC-Earth3_BARPA [-] 10.6 10.6 10.3 0.303 2.12 2.23 0.872 0.692 0.662 0.985 0.780
EC-Earth3_CCAM [-] 9.32 9.32 10.4 -1.03 2.21 1.85 0.777 0.737 0.737 0.988 0.795
EC-Earth3_CMIP6 [-] 9.95 9.95 10.4 -0.499 2.34 1.65 0.729 0.732 0.805 0.0718 0.614
ERA5_BARPA [-] 9.13 9.13 10.3 -1.20 2.00 2.12 0.791 0.763 0.677 0.990 0.797
ERA5_CCAM [-] 9.34 9.34 10.4 -1.01 1.91 1.48 0.789 0.781 0.789 0.996 0.827
MPI-ESM1-2-HR_BARPA [-] 9.90 9.90 10.3 -0.431 2.17 1.79 0.807 0.718 0.759 0.891 0.778
MPI-ESM1-2-HR_CMIP6 [-] 10.3 10.3 10.5 -0.196 3.58 0.346 0.536 0.620 0.977 0.0163 0.554
NorESM2-MM_BARPA [-] 8.23 8.23 10.3 -2.10 2.82 1.78 0.671 0.743 0.731 0.961 0.770
NorESM2-MM_CCAM [-] 9.13 9.13 10.4 -1.23 2.17 1.18 0.759 0.772 0.841 0.924 0.814
NorESM2-MM_CMIP6 [-] 8.02 8.02 10.6 -2.55 2.76 0.495 0.575 0.796 0.969 0.991 0.825
Download Data
Period Mean (original grids) [d]
Model Period Mean (intersection) [d]
Benchmark Period Mean (intersection) [d]
Model Period Mean (complement) [d]
Benchmark Period Mean (complement) [d]
Bias [d]
RMSE [d]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 6.51
ACCESS-CM2_BARPA [-] 5.29 5.29 6.57 -1.28 1.47 0.646 0.703 0.829 0.927 0.994 0.856
ACCESS-CM2_CCAM [-] 6.43 6.43 6.53 -0.101 1.09 0.585 0.876 0.772 0.945 0.997 0.873
ACCESS-CM2_CMIP6 [-] 7.58 7.58 5.85 1.73 2.64 0.983 0.532 0.482 0.937 1.00 0.687
ACCESS-ESM1-5_BARPA [-] 5.50 5.50 6.57 -1.07 1.39 0.667 0.748 0.805 0.942 0.976 0.855
ACCESS-ESM1-5_CCAM [-] 5.93 5.93 6.53 -0.600 1.37 0.795 0.805 0.760 0.921 0.940 0.837
ACCESS-ESM1-5_CMIP6 [-] 8.56 8.56 8.01 0.554 1.57 0.496 0.860 0.671 0.963 0.863 0.806
CESM2_BARPA [-] 5.07 5.07 6.57 -1.50 1.73 0.545 0.661 0.800 0.961 0.993 0.843
CESM2_CCAM [-] 4.89 4.89 6.53 -1.64 1.93 0.667 0.627 0.778 0.937 0.995 0.823
CESM2_CMIP6 [-] 6.37 6.37 6.91 -0.535 1.46 0.656 0.847 0.666 0.958 0.871 0.801
CMCC-ESM2_BARPA [-] 5.41 5.41 6.57 -1.17 1.48 0.909 0.730 0.796 0.914 0.989 0.845
CMCC-ESM2_CCAM [-] 5.37 5.37 6.53 -1.16 1.45 1.08 0.724 0.795 0.878 0.921 0.822
CMCC-ESM2_CMIP6 [-] 7.36 7.36 6.91 0.455 1.42 0.323 0.803 0.693 0.982 0.661 0.766
CNRM-ESM2-1_CCAM [-] 6.38 6.38 6.53 -0.144 1.25 1.11 0.873 0.734 0.859 0.975 0.835
CNRM-ESM2-1_CMIP6 [-] 6.23 6.23 7.35 -1.12 1.49 0.330 0.732 0.800 0.974 0.986 0.859
EC-Earth3_BARPA [-] 6.72 6.72 6.57 0.149 1.20 0.666 0.848 0.758 0.930 0.989 0.857
EC-Earth3_CCAM [-] 6.64 6.64 6.53 0.116 1.10 0.707 0.870 0.769 0.932 0.991 0.866
EC-Earth3_CMIP6 [-] 6.69 6.69 6.56 0.128 1.21 0.614 0.823 0.736 0.962 0.982 0.848
ERA5_BARPA [-] 5.89 5.89 6.58 -0.697 1.21 0.816 0.816 0.787 0.900 0.997 0.857
ERA5_CCAM [-] 6.79 6.79 6.54 0.257 1.03 0.741 0.851 0.807 0.924 0.989 0.876
MPI-ESM1-2-HR_BARPA [-] 5.38 5.38 6.57 -1.19 1.48 0.640 0.726 0.816 0.936 0.971 0.853
MPI-ESM1-2-HR_CMIP6 [-] 7.39 7.39 6.20 1.19 1.81 0.392 0.717 0.666 0.977 0.967 0.799
NorESM2-MM_BARPA [-] 5.15 5.15 6.57 -1.42 1.71 0.604 0.675 0.781 0.947 0.972 0.831
NorESM2-MM_CCAM [-] 5.91 5.91 6.53 -0.617 1.25 0.613 0.816 0.770 0.944 0.997 0.859
NorESM2-MM_CMIP6 [-] 6.24 6.24 6.91 -0.668 1.34 0.323 0.811 0.700 0.982 0.966 0.832
Download Data
Period Mean (original grids) [d]
Model Period Mean (intersection) [d]
Benchmark Period Mean (intersection) [d]
Model Period Mean (complement) [d]
Benchmark Period Mean (complement) [d]
Bias [d]
RMSE [d]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 10.7
ACCESS-CM2_BARPA [-] 9.82 9.82 10.7 -0.925 2.27 1.44 0.833 0.709 0.815 0.974 0.808
ACCESS-CM2_CCAM [-] 10.9 10.9 10.7 0.174 1.88 1.13 0.853 0.760 0.848 0.995 0.843
ACCESS-CM2_CMIP6 [-] 10.9 10.9 10.9 -0.0389 1.84 1.71 0.923 0.676 0.740 0.774 0.758
ACCESS-ESM1-5_BARPA [-] 11.0 11.0 10.7 0.228 2.70 2.13 0.884 0.635 0.683 0.957 0.759
ACCESS-ESM1-5_CCAM [-] 11.2 11.2 10.7 0.498 2.34 1.79 0.855 0.689 0.747 0.998 0.796
ACCESS-ESM1-5_CMIP6 [-] 11.5 11.5 11.4 0.0453 2.50 1.01 0.833 0.629 0.903 0.916 0.782
CESM2_BARPA [-] 9.54 9.54 10.7 -1.20 2.73 1.59 0.792 0.678 0.787 0.946 0.776
CESM2_CCAM [-] 12.5 12.5 10.7 1.78 3.09 1.18 0.740 0.666 0.850 0.792 0.743
CESM2_CMIP6 [-] 8.60 8.60 11.0 -2.43 3.01 0.841 0.614 0.719 0.925 0.0539 0.606
CMCC-ESM2_BARPA [-] 9.72 9.72 10.7 -1.03 2.66 1.41 0.819 0.672 0.802 0.962 0.785
CMCC-ESM2_CCAM [-] 8.49 8.49 10.7 -2.24 3.16 2.01 0.671 0.693 0.701 0.915 0.735
CMCC-ESM2_CMIP6 [-] 7.54 7.54 11.0 -3.49 3.85 2.22 0.508 0.736 0.645 0.960 0.717
CNRM-ESM2-1_CCAM [-] 11.4 11.4 10.7 0.668 2.38 1.91 0.848 0.686 0.739 0.996 0.791
CNRM-ESM2-1_CMIP6 [-] 9.51 9.51 9.98 -0.469 2.23 0.653 0.651 0.725 0.960 0.784 0.769
EC-Earth3_BARPA [-] 11.6 11.6 10.7 0.858 2.60 1.99 0.838 0.664 0.710 0.961 0.767
EC-Earth3_CCAM [-] 11.3 11.3 10.7 0.611 2.32 1.56 0.848 0.698 0.796 0.990 0.806
EC-Earth3_CMIP6 [-] 12.1 12.1 10.9 1.16 2.45 0.932 0.738 0.717 0.873 0.951 0.799
ERA5_BARPA [-] 9.63 9.63 10.7 -1.11 2.00 1.63 0.818 0.757 0.764 0.998 0.819
ERA5_CCAM [-] 9.81 9.81 10.7 -0.902 1.89 1.34 0.825 0.776 0.823 0.965 0.833
MPI-ESM1-2-HR_BARPA [-] 11.6 11.6 10.7 0.869 2.42 1.60 0.824 0.696 0.782 0.820 0.764
MPI-ESM1-2-HR_CMIP6 [-] 15.2 15.2 11.0 4.29 6.18 2.20 0.421 0.416 0.667 0.903 0.564
NorESM2-MM_BARPA [-] 9.02 9.02 10.7 -1.73 2.76 2.00 0.732 0.699 0.683 0.987 0.760
NorESM2-MM_CCAM [-] 10.3 10.3 10.7 -0.391 1.88 1.16 0.849 0.763 0.848 0.984 0.841
NorESM2-MM_CMIP6 [-] 8.50 8.50 11.0 -2.53 3.00 2.00 0.599 0.733 0.672 0.232 0.594
Download Data
Period Mean (original grids) [d]
Model Period Mean (intersection) [d]
Benchmark Period Mean (intersection) [d]
Model Period Mean (complement) [d]
Benchmark Period Mean (complement) [d]
Bias [d]
RMSE [d]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 10.7
ACCESS-CM2_BARPA [-] 9.18 9.18 10.6 -1.46 1.87 0.196 0.794 0.840 0.987 0.988 0.890
ACCESS-CM2_CCAM [-] 11.1 11.1 10.7 0.407 1.92 0.300 0.927 0.757 0.975 0.970 0.877
ACCESS-CM2_CMIP6 [-] 10.2 10.2 10.1 0.0848 1.94 0.672 0.933 0.704 0.955 0.889 0.837
ACCESS-ESM1-5_BARPA [-] 10.1 10.1 10.6 -0.543 1.66 0.897 0.904 0.796 0.920 0.997 0.882
ACCESS-ESM1-5_CCAM [-] 11.6 11.6 10.7 0.905 2.24 0.504 0.868 0.732 0.948 0.985 0.853
ACCESS-ESM1-5_CMIP6 [-] 11.6 11.6 11.9 -0.290 2.17 1.97 0.953 0.704 0.764 0.891 0.803
CESM2_BARPA [-] 8.99 8.99 10.6 -1.65 2.03 0.340 0.772 0.839 0.977 0.998 0.885
CESM2_CCAM [-] 10.8 10.8 10.7 0.161 1.85 0.445 0.924 0.766 0.957 0.989 0.881
CESM2_CMIP6 [-] 10.0 10.0 11.4 -1.36 2.29 0.983 0.814 0.765 0.937 0.605 0.777
CMCC-ESM2_BARPA [-] 9.23 9.23 10.6 -1.41 1.84 0.201 0.800 0.842 0.986 0.999 0.894
CMCC-ESM2_CCAM [-] 9.24 9.24 10.7 -1.44 2.45 0.428 0.796 0.744 0.949 0.890 0.825
CMCC-ESM2_CMIP6 [-] 10.6 10.6 11.4 -0.781 1.93 0.788 0.874 0.777 0.902 0.851 0.836
CNRM-ESM2-1_CCAM [-] 11.2 11.2 10.7 0.472 2.27 1.04 0.923 0.714 0.884 0.991 0.845
CNRM-ESM2-1_CMIP6 [-] 11.3 11.3 9.60 1.71 2.33 0.983 0.717 0.736 0.937 1.00 0.825
EC-Earth3_BARPA [-] 11.9 11.9 10.6 1.23 2.17 0.674 0.819 0.770 0.926 0.970 0.851
EC-Earth3_CCAM [-] 11.8 11.8 10.7 1.09 2.32 0.640 0.844 0.734 0.929 0.986 0.845
EC-Earth3_CMIP6 [-] 12.8 12.8 10.8 2.05 2.79 0.423 0.713 0.745 0.971 0.957 0.826
ERA5_BARPA [-] 9.53 9.53 10.7 -1.13 1.87 0.494 0.836 0.807 0.958 0.995 0.881
ERA5_CCAM [-] 10.3 10.3 10.7 -0.377 1.61 0.487 0.920 0.796 0.965 0.940 0.883
MPI-ESM1-2-HR_BARPA [-] 9.70 9.70 10.6 -0.945 1.68 0.519 0.856 0.820 0.957 0.999 0.890
MPI-ESM1-2-HR_CMIP6 [-] 15.9 15.9 10.7 5.12 6.79 1.01 0.418 0.494 0.933 0.828 0.633
NorESM2-MM_BARPA [-] 8.62 8.62 10.6 -2.02 2.43 0.192 0.727 0.815 0.987 0.978 0.865
NorESM2-MM_CCAM [-] 9.68 9.68 10.7 -1.00 1.54 0.189 0.850 0.849 0.985 0.880 0.883
NorESM2-MM_CMIP6 [-] 9.72 9.72 11.4 -1.64 1.96 0.00 0.780 0.843 1.00 0.582 0.810
Download Data
Period Mean (original grids) [d]
Model Period Mean (intersection) [d]
Benchmark Period Mean (intersection) [d]
Model Period Mean (complement) [d]
Benchmark Period Mean (complement) [d]
Bias [d]
RMSE [d]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 18.2
ACCESS-CM2_BARPA [-] 15.3 15.3 18.5 -3.16 4.86 0.715 0.794 0.778 0.930 0.926 0.841
ACCESS-CM2_CCAM [-] 18.8 18.8 18.3 0.527 4.16 1.26 0.907 0.756 0.817 0.997 0.847
ACCESS-CM2_CMIP6 [-] 16.8 16.8 18.4 -1.57 3.80 0.259 0.883 0.761 0.981 0.998 0.877
ACCESS-ESM1-5_BARPA [-] 17.2 17.2 18.5 -1.30 4.58 1.58 0.903 0.732 0.795 0.990 0.831
ACCESS-ESM1-5_CCAM [-] 21.2 21.2 18.3 2.89 5.73 1.29 0.812 0.708 0.819 0.941 0.798
ACCESS-ESM1-5_CMIP6 [-] 17.4 17.4 18.9 -1.55 5.69 2.00 0.879 0.633 0.716 0.999 0.772
CESM2_BARPA [-] 16.1 16.1 18.5 -2.40 5.02 0.957 0.838 0.724 0.912 0.999 0.840
CESM2_CCAM [-] 23.4 23.4 18.3 5.13 8.74 0.779 0.693 0.648 0.921 0.624 0.707
CESM2_CMIP6 [-] 16.2 16.2 18.8 -2.62 5.20 1.56 0.814 0.700 0.819 0.874 0.781
CMCC-ESM2_BARPA [-] 16.9 16.9 18.5 -1.60 5.18 0.700 0.890 0.697 0.938 0.999 0.844
CMCC-ESM2_CCAM [-] 14.2 14.2 18.3 -4.13 6.41 1.29 0.739 0.712 0.822 0.696 0.736
CMCC-ESM2_CMIP6 [-] 16.8 16.8 18.8 -1.95 4.34 1.29 0.857 0.735 0.837 0.897 0.813
CNRM-ESM2-1_CCAM [-] 17.7 17.7 18.3 -0.577 4.62 1.53 0.934 0.722 0.798 0.921 0.819
CNRM-ESM2-1_CMIP6 [-] 23.4 23.4 20.0 3.35 6.79 1.44 0.797 0.672 0.815 0.566 0.704
EC-Earth3_BARPA [-] 21.5 21.5 18.5 3.04 6.61 1.12 0.803 0.679 0.866 0.906 0.786
EC-Earth3_CCAM [-] 20.2 20.2 18.3 1.91 5.27 1.70 0.868 0.710 0.742 0.947 0.795
EC-Earth3_CMIP6 [-] 22.5 22.5 18.6 3.83 5.98 1.73 0.750 0.729 0.766 0.976 0.790
ERA5_BARPA [-] 15.6 15.6 18.6 -2.99 4.99 1.39 0.806 0.756 0.837 0.938 0.818
ERA5_CCAM [-] 17.5 17.5 18.4 -0.931 3.65 1.25 0.916 0.786 0.871 0.986 0.869
MPI-ESM1-2-HR_BARPA [-] 17.7 17.7 18.5 -0.834 3.86 1.15 0.923 0.768 0.872 0.986 0.863
MPI-ESM1-2-HR_CMIP6 [-] 35.6 35.6 18.7 16.9 22.2 0.917 0.283 0.414 0.832 0.380 0.465
NorESM2-MM_BARPA [-] 14.4 14.4 18.5 -4.06 5.40 1.03 0.744 0.776 0.900 0.927 0.825
NorESM2-MM_CCAM [-] 15.9 15.9 18.3 -2.38 3.57 0.731 0.841 0.833 0.925 0.851 0.857
NorESM2-MM_CMIP6 [-] 13.9 13.9 18.8 -4.84 5.57 0.583 0.683 0.797 0.940 0.516 0.747
Download Data
Period Mean (original grids) [d]
Model Period Mean (intersection) [d]
Benchmark Period Mean (intersection) [d]
Model Period Mean (complement) [d]
Benchmark Period Mean (complement) [d]
Bias [d]
RMSE [d]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 17.9
ACCESS-CM2_BARPA [-] 16.3 16.3 18.1 18.3 -1.79 6.08 1.54 0.882 0.687 0.792 0.995 0.809
ACCESS-CM2_CCAM [-] 19.4 19.4 18.1 21.6 1.32 6.89 1.02 0.900 0.647 0.877 0.989 0.812
ACCESS-CM2_CMIP6 [-] 18.4 18.4 18.9 -0.425 6.79 1.89 0.896 0.624 0.726 0.879 0.750
ACCESS-ESM1-5_BARPA [-] 18.5 18.5 18.1 20.6 0.374 5.98 1.82 0.924 0.677 0.748 0.998 0.805
ACCESS-ESM1-5_CCAM [-] 23.7 23.7 18.1 27.0 5.61 9.44 1.48 0.689 0.623 0.797 0.758 0.698
ACCESS-ESM1-5_CMIP6 [-] 21.0 21.0 19.2 1.75 9.13 2.66 0.885 0.541 0.578 0.993 0.708
CESM2_BARPA [-] 18.4 18.4 18.1 21.5 0.302 6.04 1.74 0.902 0.680 0.761 0.912 0.787
CESM2_CCAM [-] 22.4 22.4 18.1 28.3 4.30 9.96 0.493 0.737 0.613 0.955 0.674 0.718
CESM2_CMIP6 [-] 22.6 22.6 18.6 3.96 9.10 1.84 0.758 0.598 0.749 0.963 0.733
CMCC-ESM2_BARPA [-] 18.5 18.4 18.1 20.2 0.339 4.72 1.58 0.918 0.743 0.788 0.951 0.829
CMCC-ESM2_CCAM [-] 15.1 15.1 18.1 15.8 -2.94 7.09 1.63 0.819 0.664 0.792 0.973 0.782
CMCC-ESM2_CMIP6 [-] 17.0 17.0 18.6 -1.57 5.79 1.19 0.850 0.692 0.868 0.697 0.760
CNRM-ESM2-1_CCAM [-] 17.0 17.0 18.1 19.0 -1.07 7.18 2.06 0.906 0.631 0.700 0.928 0.759
CNRM-ESM2-1_CMIP6 [-] 22.1 22.1 18.7 3.36 10.2 1.33 0.771 0.530 0.824 0.925 0.716
EC-Earth3_BARPA [-] 20.1 20.0 18.1 24.2 1.94 5.96 1.57 0.867 0.703 0.775 0.997 0.809
EC-Earth3_CCAM [-] 19.0 19.0 18.1 22.4 0.935 6.40 1.06 0.907 0.669 0.865 0.977 0.817
EC-Earth3_CMIP6 [-] 22.0 22.0 18.7 3.33 9.30 1.48 0.791 0.567 0.821 0.997 0.749
ERA5_BARPA [-] 15.7 15.7 18.1 17.5 -2.44 5.17 0.666 0.849 0.753 0.919 0.967 0.848
ERA5_CCAM [-] 18.9 18.9 18.1 21.1 0.794 5.04 0.817 0.909 0.732 0.900 0.994 0.853
MPI-ESM1-2-HR_BARPA [-] 19.3 19.3 18.1 23.5 1.21 5.21 1.59 0.892 0.725 0.793 0.952 0.817
MPI-ESM1-2-HR_CMIP6 [-] 33.6 33.6 19.0 14.6 25.5 1.02 0.373 0.325 0.910 0.496 0.486
NorESM2-MM_BARPA [-] 16.0 16.0 18.1 17.7 -2.07 5.05 0.923 0.869 0.748 0.904 0.995 0.853
NorESM2-MM_CCAM [-] 20.2 20.2 18.1 20.6 2.18 7.07 0.914 0.867 0.653 0.896 0.990 0.812
NorESM2-MM_CMIP6 [-] 19.6 19.6 18.6 0.983 6.83 0.793 0.922 0.645 0.938 0.987 0.827
Download Data
Period Mean (original grids) [d]
Model Period Mean (intersection) [d]
Benchmark Period Mean (intersection) [d]
Model Period Mean (complement) [d]
Benchmark Period Mean (complement) [d]
Bias [d]
RMSE [d]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 19.8
ACCESS-CM2_BARPA [-] 18.4 18.2 20.8 20.2 -2.54 12.8 0.901 0.834 0.671 0.910 0.925 0.802
ACCESS-CM2_CCAM [-] 21.7 21.7 20.6 22.3 1.12 11.8 0.881 0.883 0.667 0.911 0.986 0.823
ACCESS-CM2_CMIP6 [-] 21.6 21.6 23.3 -1.69 16.0 1.64 0.831 0.535 0.769 0.701 0.674
ACCESS-ESM1-5_BARPA [-] 16.5 16.4 20.8 17.0 -4.35 13.8 0.905 0.809 0.659 0.913 0.839 0.776
ACCESS-ESM1-5_CCAM [-] 17.6 17.7 20.6 17.2 -2.87 12.9 1.24 0.865 0.652 0.860 0.916 0.789
ACCESS-ESM1-5_CMIP6 [-] 17.5 17.5 23.1 -5.56 12.8 2.81 0.780 0.580 0.550 0.573 0.613
CESM2_BARPA [-] 22.3 22.2 20.8 25.0 1.37 13.6 1.49 0.865 0.629 0.816 0.987 0.785
CESM2_CCAM [-] 17.9 17.7 20.6 20.0 -2.87 12.2 0.996 0.876 0.663 0.903 0.899 0.801
CESM2_CMIP6 [-] 18.8 18.8 23.9 -5.07 11.4 0.346 0.819 0.671 0.978 0.412 0.710
CMCC-ESM2_BARPA [-] 24.7 24.5 20.8 27.0 3.74 16.1 1.19 0.838 0.599 0.869 0.967 0.774
CMCC-ESM2_CCAM [-] 17.7 17.5 20.6 19.2 -3.05 11.2 1.04 0.869 0.693 0.886 0.946 0.818
CMCC-ESM2_CMIP6 [-] 15.2 15.2 23.9 -8.70 11.4 1.03 0.698 0.722 0.875 0.781 0.760
CNRM-ESM2-1_CCAM [-] 23.1 23.1 20.6 22.9 2.51 11.3 0.694 0.862 0.697 0.945 0.989 0.838
CNRM-ESM2-1_CMIP6 [-] 33.3 33.3 26.3 7.02 25.2 0.849 0.781 0.516 0.916 0.993 0.744
EC-Earth3_BARPA [-] 24.1 23.9 20.8 26.0 3.16 13.4 0.854 0.840 0.666 0.922 0.952 0.809
EC-Earth3_CCAM [-] 19.6 19.4 20.6 20.7 -1.12 11.6 1.02 0.890 0.664 0.896 0.888 0.800
EC-Earth3_CMIP6 [-] 21.3 21.3 23.4 -2.08 12.8 0.745 0.889 0.619 0.939 0.846 0.782
ERA5_BARPA [-] 18.3 18.2 20.7 20.2 -2.56 10.3 0.752 0.858 0.726 0.929 0.902 0.828
ERA5_CCAM [-] 17.7 17.6 20.5 19.0 -2.90 9.34 0.661 0.873 0.750 0.941 0.916 0.846
MPI-ESM1-2-HR_BARPA [-] 26.8 26.5 20.8 30.2 5.77 16.1 0.894 0.788 0.626 0.915 0.919 0.775
MPI-ESM1-2-HR_CMIP6 [-] 48.3 48.3 23.4 24.9 51.8 1.29 0.446 0.324 0.844 0.695 0.526
NorESM2-MM_BARPA [-] 16.7 16.6 20.8 18.2 -4.15 12.9 1.09 0.835 0.668 0.900 0.701 0.754
NorESM2-MM_CCAM [-] 15.7 15.5 20.6 17.4 -5.07 11.9 0.698 0.821 0.703 0.934 0.807 0.794
NorESM2-MM_CMIP6 [-] 15.7 15.7 23.9 -8.17 12.7 0.572 0.724 0.688 0.940 0.289 0.666

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 19:25:58 2024: ncatted -a missing_value,CDD,d,, /g/data/xv83/users/bxn599/ACS/icclim_indices_acs/agcd/indices/none/none/AUS-r005/BOM/AGCD/historical/none/none/none/climdex/CDD/v20240411/CDD_AUS-r005_AGCD_historical_none_BOM_none_none_mon_19790101-20211231_masked.nc.tmp Wed Aug 28 13:55:44 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/CDD/v20240411/CDD_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/CDD/v20240411/CDD_AUS-r005_AGCD_historical_none_BOM_none_none_mon_19790101-20211231_masked_compressed.nc Wed Jun 05 08:51:09 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/CDD/v20240411/CDD_AUS-r005_AGCD_historical_none_BOM_none_none_mon_19790101-20211231.nc ./indices/none/none/AUS-r005/BOM/AGCD/historical/none/none/none/climdex/CDD/v20240411/CDD_AUS-r005_AGCD_historical_none_BOM_none_none_mon_19790101-20211231_masked.nc Wed May 15 14:02:30 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 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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 CDD /g/data/xv83/users/bxn599/ACS/icclim_indices_acs/agcd/indices/none/none/AUS-r005/BOM/AGCD/historical/none/none/none/climdex/CDD/v20240411/CDD_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:
CDD

  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)