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 [-] 2.53
ACCESS-CM2_BARPA [-] 2.89 2.94 2.45 2.71 0.491 3.36 1.69 0.949 0.747 0.764 0.982 0.838
ACCESS-CM2_CCAM [-] 3.35 3.38 2.48 3.24 0.909 3.50 1.65 0.914 0.747 0.772 0.977 0.831
ACCESS-CM2_CMIP6 [-] 2.82 2.83 2.19 2.71 0.642 3.05 1.65 0.910 0.692 0.772 0.954 0.804
ACCESS-ESM1-5_BARPA [-] 2.84 2.89 2.45 2.64 0.439 3.31 1.52 0.949 0.750 0.800 0.984 0.846
ACCESS-ESM1-5_CCAM [-] 3.28 3.36 2.48 2.99 0.881 3.50 1.58 0.914 0.747 0.787 0.955 0.830
ACCESS-ESM1-5_CMIP6 [-] 2.70 2.72 2.15 2.46 0.565 2.77 1.17 0.917 0.714 0.868 0.966 0.836
CESM2_BARPA [-] 2.68 2.77 2.45 2.32 0.323 3.20 1.62 0.957 0.755 0.780 0.982 0.846
CESM2_CCAM [-] 2.61 2.71 2.48 2.26 0.231 3.25 1.60 0.960 0.755 0.783 0.987 0.848
CESM2_CMIP6 [-] 2.70 2.75 2.22 2.22 0.532 2.88 1.31 0.932 0.727 0.846 0.981 0.843
CMCC-ESM2_BARPA [-] 2.70 2.76 2.45 2.46 0.307 3.48 2.04 0.959 0.738 0.697 0.981 0.823
CMCC-ESM2_CCAM [-] 3.76 3.77 2.48 3.71 1.30 3.75 1.86 0.885 0.735 0.733 0.976 0.813
CMCC-ESM2_CMIP6 [-] 2.83 2.84 2.22 2.75 0.623 2.71 1.80 0.920 0.745 0.740 0.940 0.818
CNRM-ESM2-1_CCAM [-] 3.55 3.60 2.48 3.38 1.12 3.54 1.66 0.897 0.745 0.771 0.925 0.816
CNRM-ESM2-1_CMIP6 [-] 2.09 2.13 2.18 1.61 -0.0441 2.45 1.45 0.959 0.747 0.808 0.985 0.849
EC-Earth3_BARPA [-] 2.69 2.78 2.45 2.36 0.328 3.11 1.52 0.951 0.762 0.795 0.958 0.846
EC-Earth3_CCAM [-] 3.41 3.46 2.48 3.23 0.985 3.41 1.62 0.906 0.749 0.776 0.917 0.819
EC-Earth3_CMIP6 [-] 2.25 2.29 2.29 1.99 0.00134 2.58 1.44 0.956 0.773 0.804 0.977 0.857
ERA5_BARPA [-] 2.90 2.97 2.45 2.63 0.517 3.17 1.75 0.947 0.759 0.751 0.989 0.841
ERA5_CCAM [-] 3.43 3.51 2.48 3.11 1.04 3.44 1.65 0.904 0.751 0.770 0.948 0.825
MPI-ESM1-2-HR_BARPA [-] 2.59 2.65 2.45 2.33 0.204 3.12 1.58 0.959 0.760 0.782 0.975 0.847
MPI-ESM1-2-HR_CMIP6 [-] 1.89 1.94 2.24 1.53 -0.304 4.72 2.79 0.948 0.642 0.562 0.978 0.755
NorESM2-MM_BARPA [-] 3.02 3.08 2.45 2.80 0.627 3.51 2.12 0.938 0.739 0.679 0.971 0.813
NorESM2-MM_CCAM [-] 3.44 3.47 2.48 3.34 0.997 3.56 1.67 0.909 0.746 0.765 0.974 0.828
NorESM2-MM_CMIP6 [-] 2.83 2.86 2.22 2.60 0.638 2.74 1.37 0.924 0.744 0.820 0.957 0.838
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 [-] 2.75
ACCESS-CM2_BARPA [-] 3.08 3.08 2.71 0.363 2.97 1.46 0.964 0.776 0.817 0.962 0.868
ACCESS-CM2_CCAM [-] 3.53 3.53 2.72 0.807 3.38 1.47 0.932 0.758 0.811 0.994 0.861
ACCESS-CM2_CMIP6 [-] 3.40 3.40 2.63 0.768 2.79 2.28 0.905 0.709 0.629 0.991 0.798
ACCESS-ESM1-5_BARPA [-] 3.34 3.34 2.71 0.627 3.16 1.84 0.945 0.767 0.739 0.995 0.851
ACCESS-ESM1-5_CCAM [-] 3.69 3.69 2.72 0.963 3.54 1.66 0.920 0.751 0.778 0.989 0.848
ACCESS-ESM1-5_CMIP6 [-] 3.23 3.23 2.61 0.622 2.69 0.985 0.922 0.719 0.892 0.672 0.792
CESM2_BARPA [-] 3.08 3.08 2.71 0.371 3.14 1.72 0.964 0.765 0.760 0.982 0.856
CESM2_CCAM [-] 2.99 2.99 2.72 0.264 2.99 1.46 0.967 0.778 0.809 0.967 0.869
CESM2_CMIP6 [-] 3.39 3.39 2.64 0.744 3.47 1.60 0.916 0.676 0.787 0.997 0.825
CMCC-ESM2_BARPA [-] 3.03 3.03 2.71 0.313 3.15 1.46 0.967 0.764 0.810 0.996 0.871
CMCC-ESM2_CCAM [-] 3.80 3.80 2.72 1.08 3.70 1.69 0.911 0.742 0.766 0.970 0.836
CMCC-ESM2_CMIP6 [-] 3.30 3.30 2.64 0.660 2.59 1.81 0.926 0.748 0.726 0.994 0.837
CNRM-ESM2-1_CCAM [-] 3.48 3.48 2.72 0.754 3.15 1.36 0.937 0.773 0.823 0.992 0.869
CNRM-ESM2-1_CMIP6 [-] 2.30 2.30 2.60 -0.298 2.44 1.39 0.954 0.745 0.816 0.866 0.834
EC-Earth3_BARPA [-] 2.81 2.81 2.71 0.0997 3.24 1.65 0.970 0.758 0.775 0.921 0.845
EC-Earth3_CCAM [-] 3.39 3.39 2.72 0.661 3.61 1.78 0.941 0.741 0.757 0.994 0.845
EC-Earth3_CMIP6 [-] 2.10 2.10 2.65 -0.558 2.56 1.30 0.944 0.776 0.849 0.995 0.878
ERA5_BARPA [-] 3.29 3.29 2.71 0.579 3.43 2.26 0.949 0.749 0.656 0.996 0.828
ERA5_CCAM [-] 3.82 3.82 2.72 1.10 3.48 1.75 0.910 0.757 0.754 0.991 0.842
MPI-ESM1-2-HR_BARPA [-] 2.57 2.57 2.71 -0.148 3.04 1.72 0.974 0.771 0.761 0.964 0.857
MPI-ESM1-2-HR_CMIP6 [-] 2.11 2.11 2.66 -0.551 3.02 3.04 0.941 0.724 0.499 0.993 0.782
NorESM2-MM_BARPA [-] 3.32 3.32 2.71 0.604 3.41 2.13 0.948 0.750 0.682 0.997 0.834
NorESM2-MM_CCAM [-] 3.62 3.62 2.72 0.893 3.65 1.49 0.925 0.741 0.814 0.970 0.849
NorESM2-MM_CMIP6 [-] 3.29 3.29 2.64 0.647 2.95 2.78 0.927 0.719 0.567 0.987 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 [-] 3.11
ACCESS-CM2_BARPA [-] 3.45 3.45 3.08 0.366 3.14 1.39 0.964 0.780 0.812 0.976 0.879
ACCESS-CM2_CCAM [-] 3.83 3.83 3.09 0.740 3.57 1.66 0.939 0.761 0.769 0.981 0.856
ACCESS-CM2_CMIP6 [-] 3.33 3.33 3.08 0.249 2.83 0.996 0.968 0.732 0.876 0.988 0.865
ACCESS-ESM1-5_BARPA [-] 3.66 3.66 3.08 0.580 3.71 1.53 0.949 0.747 0.796 0.963 0.851
ACCESS-ESM1-5_CCAM [-] 4.20 4.20 3.09 1.12 3.76 1.71 0.914 0.755 0.767 0.995 0.845
ACCESS-ESM1-5_CMIP6 [-] 3.39 3.39 2.94 0.452 2.82 1.08 0.942 0.719 0.884 0.913 0.857
CESM2_BARPA [-] 3.10 3.10 3.08 0.0185 3.21 1.52 0.969 0.776 0.800 0.983 0.871
CESM2_CCAM [-] 3.47 3.47 3.09 0.382 3.22 1.60 0.960 0.778 0.785 0.947 0.869
CESM2_CMIP6 [-] 3.53 3.53 2.99 0.542 3.22 1.60 0.942 0.717 0.783 0.997 0.847
CMCC-ESM2_BARPA [-] 3.34 3.34 3.08 0.265 3.40 1.66 0.966 0.764 0.780 0.995 0.863
CMCC-ESM2_CCAM [-] 4.04 4.04 3.09 0.948 3.75 1.73 0.926 0.753 0.759 0.972 0.845
CMCC-ESM2_CMIP6 [-] 3.40 3.40 2.99 0.411 2.28 1.19 0.950 0.794 0.848 0.793 0.843
CNRM-ESM2-1_CCAM [-] 3.97 3.97 3.09 0.883 3.69 1.95 0.930 0.754 0.715 0.919 0.837
CNRM-ESM2-1_CMIP6 [-] 2.68 2.68 2.99 -0.310 2.64 1.85 0.960 0.746 0.736 0.991 0.842
EC-Earth3_BARPA [-] 3.33 3.33 3.08 0.250 3.26 1.49 0.969 0.771 0.786 0.995 0.872
EC-Earth3_CCAM [-] 3.92 3.92 3.09 0.827 3.64 1.98 0.934 0.756 0.708 0.983 0.839
EC-Earth3_CMIP6 [-] 2.76 2.76 3.01 -0.246 2.63 1.64 0.954 0.784 0.766 0.931 0.849
ERA5_BARPA [-] 3.59 3.59 3.08 0.510 3.25 1.83 0.956 0.774 0.732 0.996 0.856
ERA5_CCAM [-] 4.24 4.24 3.09 1.15 3.48 1.74 0.912 0.772 0.754 0.991 0.852
MPI-ESM1-2-HR_BARPA [-] 2.83 2.83 3.08 -0.249 3.21 1.66 0.971 0.775 0.758 0.994 0.869
MPI-ESM1-2-HR_CMIP6 [-] 2.35 2.35 3.03 -0.678 4.14 4.16 0.935 0.669 0.295 0.988 0.730
NorESM2-MM_BARPA [-] 3.64 3.64 3.08 0.556 3.41 1.61 0.951 0.765 0.766 0.985 0.852
NorESM2-MM_CCAM [-] 3.75 3.75 3.09 0.662 3.49 1.64 0.944 0.764 0.767 0.976 0.852
NorESM2-MM_CMIP6 [-] 3.36 3.36 2.99 0.373 2.49 1.46 0.957 0.776 0.796 0.925 0.841
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 [-] 2.66
ACCESS-CM2_BARPA [-] 3.09 3.08 2.58 3.21 0.505 3.38 1.59 0.940 0.731 0.797 0.933 0.839
ACCESS-CM2_CCAM [-] 3.97 3.96 2.60 4.13 1.35 3.52 1.18 0.875 0.738 0.861 0.868 0.835
ACCESS-CM2_CMIP6 [-] 2.89 2.89 2.26 0.628 2.98 1.58 0.911 0.669 0.797 0.921 0.815
ACCESS-ESM1-5_BARPA [-] 3.18 3.17 2.58 3.24 0.594 3.29 1.11 0.933 0.737 0.873 0.964 0.864
ACCESS-ESM1-5_CCAM [-] 4.11 4.08 2.60 4.41 1.48 3.58 1.19 0.864 0.738 0.861 0.885 0.835
ACCESS-ESM1-5_CMIP6 [-] 2.94 2.94 2.24 0.700 2.55 0.945 0.904 0.709 0.904 0.935 0.852
CESM2_BARPA [-] 3.02 3.01 2.58 3.14 0.430 2.99 1.43 0.944 0.757 0.814 0.932 0.849
CESM2_CCAM [-] 3.08 3.06 2.60 3.42 0.453 2.71 1.33 0.948 0.776 0.834 0.956 0.867
CESM2_CMIP6 [-] 2.70 2.70 2.32 0.388 1.97 1.04 0.945 0.782 0.889 0.963 0.891
CMCC-ESM2_BARPA [-] 2.94 2.94 2.58 2.95 0.358 3.11 1.84 0.948 0.748 0.738 0.952 0.839
CMCC-ESM2_CCAM [-] 4.32 4.31 2.60 4.45 1.71 3.63 1.36 0.846 0.731 0.826 0.775 0.797
CMCC-ESM2_CMIP6 [-] 2.53 2.53 2.32 0.214 1.85 0.759 0.951 0.793 0.936 0.762 0.873
CNRM-ESM2-1_CCAM [-] 4.66 4.64 2.60 4.91 2.04 3.86 1.44 0.819 0.721 0.808 0.702 0.781
CNRM-ESM2-1_CMIP6 [-] 2.23 2.23 2.27 -0.0429 2.14 1.10 0.960 0.757 0.871 0.981 0.872
EC-Earth3_BARPA [-] 3.54 3.51 2.58 3.90 0.937 3.00 1.36 0.907 0.756 0.823 0.830 0.835
EC-Earth3_CCAM [-] 4.40 4.37 2.60 4.78 1.76 3.39 1.13 0.841 0.743 0.858 0.715 0.804
EC-Earth3_CMIP6 [-] 2.69 2.69 2.40 2.46 0.283 2.29 1.37 0.949 0.781 0.804 0.968 0.858
ERA5_BARPA [-] 3.29 3.28 2.58 3.42 0.706 3.01 1.43 0.927 0.759 0.814 0.952 0.853
ERA5_CCAM [-] 4.31 4.30 2.60 4.49 1.69 3.57 1.19 0.847 0.736 0.847 0.866 0.821
MPI-ESM1-2-HR_BARPA [-] 3.30 3.27 2.58 3.70 0.696 3.00 1.37 0.923 0.755 0.824 0.702 0.813
MPI-ESM1-2-HR_CMIP6 [-] 1.90 1.90 2.34 1.91 -0.441 5.31 2.70 0.940 0.612 0.587 0.975 0.758
NorESM2-MM_BARPA [-] 3.26 3.24 2.58 3.47 0.667 3.14 1.40 0.929 0.754 0.805 0.876 0.841
NorESM2-MM_CCAM [-] 4.01 3.97 2.60 4.49 1.37 3.44 1.32 0.874 0.747 0.825 0.772 0.816
NorESM2-MM_CMIP6 [-] 2.61 2.61 2.32 0.297 1.94 0.741 0.958 0.788 0.936 0.992 0.907
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 [-] 3.02
ACCESS-CM2_BARPA [-] 3.44 3.44 2.99 0.450 3.52 1.72 0.960 0.764 0.749 0.980 0.852
ACCESS-CM2_CCAM [-] 3.35 3.35 3.00 0.342 3.41 1.72 0.963 0.769 0.764 0.956 0.853
ACCESS-CM2_CMIP6 [-] 3.51 3.51 2.93 0.581 3.39 1.64 0.938 0.693 0.782 0.995 0.834
ACCESS-ESM1-5_BARPA [-] 3.16 3.16 2.99 0.162 3.32 1.58 0.974 0.771 0.796 0.990 0.871
ACCESS-ESM1-5_CCAM [-] 3.22 3.22 3.00 0.213 3.53 1.65 0.971 0.761 0.776 0.982 0.860
ACCESS-ESM1-5_CMIP6 [-] 3.08 3.08 2.97 0.110 3.09 1.17 0.957 0.715 0.881 0.988 0.866
CESM2_BARPA [-] 3.19 3.19 2.99 0.195 3.41 1.59 0.974 0.766 0.797 0.987 0.868
CESM2_CCAM [-] 2.68 2.68 3.00 -0.323 3.19 1.29 0.969 0.783 0.836 0.991 0.883
CESM2_CMIP6 [-] 3.38 3.38 2.98 0.402 3.56 1.31 0.958 0.704 0.868 0.997 0.862
CMCC-ESM2_BARPA [-] 3.18 3.18 2.99 0.186 3.48 2.27 0.973 0.762 0.649 0.995 0.836
CMCC-ESM2_CCAM [-] 3.76 3.76 3.00 0.753 3.70 1.86 0.938 0.755 0.736 0.892 0.822
CMCC-ESM2_CMIP6 [-] 3.45 3.45 2.98 0.475 3.02 1.72 0.950 0.745 0.775 0.944 0.841
CNRM-ESM2-1_CCAM [-] 3.24 3.24 3.00 0.234 3.48 1.68 0.970 0.765 0.778 0.968 0.859
CNRM-ESM2-1_CMIP6 [-] 2.91 2.91 2.96 -0.0498 2.53 1.28 0.974 0.762 0.822 0.972 0.869
EC-Earth3_BARPA [-] 2.80 2.80 2.99 -0.190 3.12 1.30 0.975 0.784 0.832 0.991 0.883
EC-Earth3_CCAM [-] 3.08 3.08 3.00 0.0740 3.42 1.54 0.976 0.767 0.798 0.988 0.870
EC-Earth3_CMIP6 [-] 2.50 2.50 2.97 -0.471 3.03 0.921 0.950 0.765 0.888 0.863 0.855
ERA5_BARPA [-] 3.35 3.35 2.99 0.352 3.29 1.46 0.965 0.773 0.804 0.996 0.872
ERA5_CCAM [-] 3.45 3.45 3.00 0.451 3.27 1.61 0.957 0.779 0.775 0.940 0.853
MPI-ESM1-2-HR_BARPA [-] 2.99 2.99 2.99 -0.00472 3.41 1.39 0.979 0.766 0.813 0.997 0.875
MPI-ESM1-2-HR_CMIP6 [-] 2.51 2.51 2.93 -0.420 2.89 1.35 0.960 0.757 0.826 0.994 0.870
NorESM2-MM_BARPA [-] 3.46 3.46 2.99 0.469 3.66 2.17 0.959 0.752 0.675 0.994 0.835
NorESM2-MM_CCAM [-] 3.50 3.50 3.00 0.493 3.59 1.27 0.956 0.760 0.829 0.994 0.871
NorESM2-MM_CMIP6 [-] 3.56 3.56 2.98 0.585 3.31 1.29 0.942 0.725 0.847 0.901 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 [-] 2.07
ACCESS-CM2_BARPA [-] 2.62 2.59 2.00 2.68 0.589 3.29 1.79 0.942 0.744 0.739 0.985 0.846
ACCESS-CM2_CCAM [-] 3.11 3.08 2.02 3.18 1.06 3.53 1.79 0.903 0.738 0.746 0.791 0.813
ACCESS-CM2_CMIP6 [-] 2.60 2.58 1.74 2.71 0.840 3.01 1.72 0.891 0.691 0.754 0.904 0.810
ACCESS-ESM1-5_BARPA [-] 2.54 2.51 2.00 2.61 0.507 3.24 1.62 0.947 0.747 0.781 0.960 0.851
ACCESS-ESM1-5_CCAM [-] 2.92 2.94 2.02 2.90 0.915 3.38 1.69 0.914 0.745 0.766 0.748 0.821
ACCESS-ESM1-5_CMIP6 [-] 2.44 2.44 1.75 2.46 0.690 2.74 1.20 0.907 0.714 0.861 0.976 0.848
CESM2_BARPA [-] 2.35 2.39 2.00 2.26 0.392 3.22 1.68 0.955 0.746 0.766 0.984 0.853
CESM2_CCAM [-] 2.23 2.26 2.02 2.18 0.239 3.42 1.75 0.963 0.737 0.756 0.981 0.851
CESM2_CMIP6 [-] 2.41 2.46 1.80 2.22 0.660 2.90 1.29 0.919 0.718 0.856 0.988 0.857
CMCC-ESM2_BARPA [-] 2.39 2.37 2.00 2.43 0.375 3.65 2.21 0.957 0.720 0.662 0.986 0.818
CMCC-ESM2_CCAM [-] 3.55 3.50 2.02 3.67 1.47 3.85 2.09 0.870 0.724 0.688 0.859 0.793
CMCC-ESM2_CMIP6 [-] 2.72 2.71 1.80 2.75 0.914 2.97 2.31 0.894 0.722 0.644 0.981 0.805
CNRM-ESM2-1_CCAM [-] 3.23 3.20 2.02 3.27 1.18 3.47 1.71 0.893 0.742 0.761 0.686 0.793
CNRM-ESM2-1_CMIP6 [-] 1.71 1.73 1.74 1.61 -0.00893 2.37 1.54 0.958 0.746 0.792 0.981 0.862
EC-Earth3_BARPA [-] 2.27 2.27 2.00 2.27 0.267 3.00 1.59 0.958 0.761 0.784 0.863 0.841
EC-Earth3_CCAM [-] 3.09 3.07 2.02 3.13 1.05 3.38 1.78 0.903 0.743 0.748 0.606 0.778
EC-Earth3_CMIP6 [-] 1.94 1.92 1.84 1.98 0.0778 2.43 1.48 0.962 0.776 0.801 0.892 0.856
ERA5_BARPA [-] 2.54 2.53 2.00 2.57 0.527 3.17 1.89 0.946 0.751 0.726 0.972 0.839
ERA5_CCAM [-] 3.06 3.08 2.02 3.02 1.06 3.44 1.81 0.903 0.743 0.743 0.677 0.801
MPI-ESM1-2-HR_BARPA [-] 2.20 2.19 2.00 2.24 0.187 3.07 1.67 0.965 0.756 0.764 0.942 0.849
MPI-ESM1-2-HR_CMIP6 [-] 1.65 1.69 1.82 1.53 -0.129 5.18 3.06 0.955 0.612 0.512 0.823 0.728
NorESM2-MM_BARPA [-] 2.75 2.75 2.00 2.76 0.750 3.67 2.51 0.929 0.721 0.604 0.989 0.805
NorESM2-MM_CCAM [-] 3.21 3.18 2.02 3.26 1.15 3.58 1.88 0.896 0.738 0.726 0.957 0.827
NorESM2-MM_CMIP6 [-] 2.65 2.66 1.80 2.60 0.865 2.77 1.42 0.899 0.738 0.807 0.986 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 [-] 4.11
ACCESS-CM2_BARPA [-] 4.25 4.25 4.11 0.133 3.71 2.64 0.969 0.758 0.580 0.996 0.808
ACCESS-CM2_CCAM [-] 4.19 4.19 4.11 0.0823 3.67 2.38 0.968 0.761 0.633 0.993 0.825
ACCESS-CM2_CMIP6 [-] 4.13 4.13 4.17 -0.0398 3.82 2.25 0.959 0.683 0.681 0.976 0.792
ACCESS-ESM1-5_BARPA [-] 4.14 4.14 4.11 0.0225 3.27 2.19 0.968 0.781 0.664 0.979 0.827
ACCESS-ESM1-5_CCAM [-] 4.31 4.31 4.11 0.199 4.17 2.21 0.962 0.734 0.670 0.974 0.820
ACCESS-ESM1-5_CMIP6 [-] 4.18 4.17 3.89 0.284 4.31 1.49 0.935 0.632 0.814 0.287 0.739
CESM2_BARPA [-] 4.08 4.08 4.11 -0.0310 3.46 2.40 0.969 0.771 0.624 0.994 0.815
CESM2_CCAM [-] 3.95 3.95 4.11 -0.159 3.72 2.04 0.966 0.758 0.697 0.988 0.840
CESM2_CMIP6 [-] 4.54 4.54 4.09 0.452 4.08 1.75 0.937 0.674 0.754 0.823 0.706
CMCC-ESM2_BARPA [-] 4.22 4.22 4.11 0.107 3.51 2.54 0.965 0.768 0.597 0.995 0.808
CMCC-ESM2_CCAM [-] 4.69 4.69 4.11 0.578 3.82 2.32 0.949 0.754 0.643 0.966 0.823
CMCC-ESM2_CMIP6 [-] 4.47 4.47 4.09 0.378 3.09 1.83 0.951 0.741 0.745 0.966 0.761
CNRM-ESM2-1_CCAM [-] 4.06 4.06 4.11 -0.0497 3.64 2.35 0.974 0.761 0.632 0.935 0.823
CNRM-ESM2-1_CMIP6 [-] 3.83 3.83 4.14 -0.308 2.69 1.83 0.956 0.758 0.751 0.820 0.777
EC-Earth3_BARPA [-] 4.02 4.02 4.11 -0.0886 3.37 2.12 0.969 0.775 0.672 0.987 0.838
EC-Earth3_CCAM [-] 4.22 4.22 4.11 0.107 3.39 2.12 0.966 0.777 0.678 0.975 0.840
EC-Earth3_CMIP6 [-] 3.93 3.93 4.12 -0.182 3.81 1.99 0.955 0.718 0.701 0.798 0.771
ERA5_BARPA [-] 4.36 4.36 4.11 0.246 3.17 2.05 0.968 0.788 0.686 0.981 0.847
ERA5_CCAM [-] 4.36 4.36 4.11 0.251 3.23 2.20 0.968 0.786 0.664 0.884 0.834
MPI-ESM1-2-HR_BARPA [-] 3.92 3.92 4.11 -0.190 3.51 2.26 0.966 0.767 0.650 0.952 0.818
MPI-ESM1-2-HR_CMIP6 [-] 3.90 3.90 4.08 -0.176 3.27 1.91 0.935 0.729 0.703 0.634 0.750
NorESM2-MM_BARPA [-] 4.23 4.23 4.11 0.113 3.61 2.62 0.964 0.762 0.582 0.992 0.795
NorESM2-MM_CCAM [-] 4.37 4.37 4.11 0.258 3.92 2.13 0.968 0.747 0.668 0.997 0.832
NorESM2-MM_CMIP6 [-] 4.55 4.55 4.09 0.461 4.25 1.75 0.940 0.665 0.772 0.988 0.737
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 [-] 3.14
ACCESS-CM2_BARPA [-] 3.30 3.30 3.07 2.59 0.234 3.99 1.37 0.971 0.740 0.840 0.982 0.865
ACCESS-CM2_CCAM [-] 3.06 3.06 3.10 2.70 -0.0372 3.39 1.84 0.976 0.777 0.726 0.994 0.867
ACCESS-CM2_CMIP6 [-] 2.89 2.89 2.96 -0.0644 3.33 1.35 0.961 0.718 0.852 0.942 0.858
ACCESS-ESM1-5_BARPA [-] 2.89 2.89 3.07 2.69 -0.178 3.61 1.53 0.974 0.761 0.806 0.996 0.876
ACCESS-ESM1-5_CCAM [-] 2.85 2.85 3.10 2.67 -0.249 3.59 1.59 0.972 0.767 0.787 0.995 0.873
ACCESS-ESM1-5_CMIP6 [-] 2.58 2.58 2.91 -0.339 2.84 1.69 0.961 0.751 0.781 0.991 0.874
CESM2_BARPA [-] 3.15 3.16 3.07 2.59 0.0857 3.50 1.57 0.974 0.766 0.794 0.981 0.869
CESM2_CCAM [-] 3.08 3.08 3.10 2.87 -0.0129 3.78 1.72 0.972 0.755 0.749 0.989 0.859
CESM2_CMIP6 [-] 3.09 3.09 2.98 0.105 4.00 1.75 0.969 0.689 0.745 0.904 0.828
CMCC-ESM2_BARPA [-] 3.08 3.08 3.07 2.34 0.0105 4.00 1.91 0.972 0.739 0.727 0.969 0.839
CMCC-ESM2_CCAM [-] 3.41 3.42 3.10 3.06 0.319 3.61 1.97 0.965 0.764 0.714 0.989 0.848
CMCC-ESM2_CMIP6 [-] 3.02 3.02 2.98 0.0418 3.35 1.60 0.966 0.727 0.785 0.991 0.857
CNRM-ESM2-1_CCAM [-] 3.17 3.18 3.10 3.00 0.0788 3.38 1.61 0.970 0.777 0.774 0.976 0.862
CNRM-ESM2-1_CMIP6 [-] 2.91 2.91 2.80 0.110 3.61 1.32 0.943 0.698 0.824 0.787 0.822
EC-Earth3_BARPA [-] 2.95 2.96 3.07 2.16 -0.113 3.95 1.56 0.967 0.743 0.805 0.946 0.858
EC-Earth3_CCAM [-] 3.08 3.09 3.10 2.63 -0.0106 3.53 1.52 0.968 0.769 0.786 0.993 0.874
EC-Earth3_CMIP6 [-] 2.77 2.77 2.95 -0.188 3.73 1.72 0.947 0.727 0.761 0.669 0.785
ERA5_BARPA [-] 3.26 3.26 3.07 2.62 0.195 3.34 1.57 0.974 0.776 0.777 0.995 0.875
ERA5_CCAM [-] 3.01 3.02 3.10 2.64 -0.0797 3.32 1.59 0.976 0.782 0.779 0.974 0.862
MPI-ESM1-2-HR_BARPA [-] 2.93 2.93 3.07 2.42 -0.136 3.57 1.42 0.973 0.763 0.806 0.983 0.872
MPI-ESM1-2-HR_CMIP6 [-] 2.46 2.46 2.92 -0.458 3.99 1.97 0.955 0.695 0.725 0.960 0.832
NorESM2-MM_BARPA [-] 3.30 3.30 3.07 2.74 0.235 3.66 1.83 0.969 0.757 0.743 0.995 0.849
NorESM2-MM_CCAM [-] 3.17 3.17 3.10 3.06 0.0772 3.65 1.59 0.978 0.762 0.786 0.991 0.872
NorESM2-MM_CMIP6 [-] 3.26 3.26 2.98 0.280 3.84 1.74 0.965 0.699 0.772 0.937 0.843
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 [-] 3.02
ACCESS-CM2_BARPA [-] 3.18 3.22 2.90 2.71 0.316 3.12 1.32 0.954 0.752 0.840 0.820 0.832
ACCESS-CM2_CCAM [-] 3.47 3.47 2.93 3.52 0.536 3.11 1.26 0.940 0.754 0.852 0.935 0.858
ACCESS-CM2_CMIP6 [-] 2.09 2.09 2.60 -0.506 2.75 0.790 0.939 0.710 0.949 0.894 0.855
ACCESS-ESM1-5_BARPA [-] 3.23 3.27 2.90 2.66 0.365 3.31 1.08 0.952 0.742 0.895 0.659 0.804
ACCESS-ESM1-5_CCAM [-] 3.72 3.73 2.93 3.57 0.798 3.20 1.08 0.922 0.752 0.872 0.972 0.865
ACCESS-ESM1-5_CMIP6 [-] 2.61 2.61 2.43 0.186 2.21 1.48 0.966 0.733 0.848 0.786 0.822
CESM2_BARPA [-] 3.16 3.17 2.90 3.01 0.268 2.95 1.19 0.956 0.761 0.871 0.907 0.861
CESM2_CCAM [-] 3.67 3.70 2.93 3.45 0.764 2.95 1.03 0.926 0.768 0.887 0.988 0.879
CESM2_CMIP6 [-] 2.40 2.40 2.51 -0.107 1.76 1.10 0.971 0.808 0.839 0.932 0.879
CMCC-ESM2_BARPA [-] 3.05 3.08 2.90 2.65 0.174 2.50 1.32 0.958 0.795 0.842 0.952 0.876
CMCC-ESM2_CCAM [-] 4.01 4.05 2.93 3.65 1.12 3.32 1.09 0.898 0.748 0.881 0.892 0.843
CMCC-ESM2_CMIP6 [-] 2.33 2.33 2.51 -0.183 1.79 0.331 0.973 0.805 0.979 0.946 0.912
CNRM-ESM2-1_CCAM [-] 4.06 4.06 2.93 3.98 1.13 3.12 1.31 0.896 0.756 0.840 0.860 0.829
CNRM-ESM2-1_CMIP6 [-] 2.40 2.40 2.37 0.0271 2.05 1.82 0.957 0.777 0.765 0.993 0.862
EC-Earth3_BARPA [-] 3.54 3.56 2.90 3.27 0.656 2.61 1.10 0.933 0.787 0.861 0.987 0.880
EC-Earth3_CCAM [-] 4.10 4.12 2.93 3.93 1.18 3.15 1.19 0.892 0.757 0.855 0.851 0.829
EC-Earth3_CMIP6 [-] 2.29 2.29 2.66 -0.367 1.95 0.992 0.952 0.820 0.872 0.882 0.874
ERA5_BARPA [-] 3.41 3.40 2.90 3.51 0.495 2.88 1.43 0.943 0.769 0.817 0.812 0.828
ERA5_CCAM [-] 3.93 3.97 2.93 3.55 1.03 3.30 1.31 0.906 0.748 0.841 0.848 0.826
MPI-ESM1-2-HR_BARPA [-] 3.29 3.29 2.90 3.28 0.388 2.42 0.922 0.952 0.803 0.900 0.850 0.868
MPI-ESM1-2-HR_CMIP6 [-] 1.60 1.60 2.62 -1.01 2.97 1.59 0.892 0.762 0.764 0.909 0.824
NorESM2-MM_BARPA [-] 3.19 3.21 2.90 2.88 0.311 2.87 1.18 0.955 0.770 0.873 0.886 0.860
NorESM2-MM_CCAM [-] 3.93 3.98 2.93 3.43 1.04 3.28 1.47 0.906 0.751 0.812 0.899 0.832
NorESM2-MM_CMIP6 [-] 2.53 2.53 2.51 0.0218 2.43 1.57 0.984 0.735 0.826 0.999 0.869
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 [-] 2.70
ACCESS-CM2_BARPA [-] 3.36 3.05 2.64 3.62 0.404 3.40 1.71 0.950 0.749 0.761 0.972 0.836
ACCESS-CM2_CCAM [-] 3.67 3.44 2.66 3.86 0.777 3.50 1.72 0.922 0.750 0.758 0.949 0.826
ACCESS-CM2_CMIP6 [-] 3.27 2.97 2.49 3.60 0.488 3.14 1.72 0.922 0.702 0.761 0.935 0.805
ACCESS-ESM1-5_BARPA [-] 3.20 2.97 2.64 3.40 0.325 3.32 1.57 0.951 0.754 0.791 0.974 0.845
ACCESS-ESM1-5_CCAM [-] 3.82 3.45 2.66 4.12 0.790 3.54 1.62 0.921 0.748 0.778 0.973 0.834
ACCESS-ESM1-5_CMIP6 [-] 3.38 3.02 2.48 3.81 0.545 2.96 1.25 0.924 0.716 0.850 0.982 0.838
CESM2_BARPA [-] 3.10 2.87 2.64 3.29 0.223 3.23 1.65 0.957 0.759 0.773 0.973 0.844
CESM2_CCAM [-] 3.47 2.90 2.66 3.93 0.233 3.31 1.63 0.960 0.756 0.777 0.986 0.847
CESM2_CMIP6 [-] 3.33 2.99 2.51 3.69 0.483 3.06 1.44 0.938 0.728 0.817 0.986 0.839
CMCC-ESM2_BARPA [-] 3.17 2.87 2.64 3.41 0.225 3.49 2.05 0.958 0.743 0.695 0.980 0.824
CMCC-ESM2_CCAM [-] 4.05 3.85 2.66 4.22 1.18 3.72 1.87 0.895 0.740 0.730 0.957 0.813
CMCC-ESM2_CMIP6 [-] 3.40 3.06 2.51 3.77 0.551 2.84 1.78 0.928 0.748 0.745 0.979 0.830
CNRM-ESM2-1_CCAM [-] 3.91 3.66 2.66 4.11 1.00 3.56 1.72 0.905 0.747 0.759 0.966 0.825
CNRM-ESM2-1_CMIP6 [-] 2.69 2.32 2.47 3.15 -0.155 2.58 1.49 0.955 0.753 0.800 0.955 0.843
EC-Earth3_BARPA [-] 3.23 2.89 2.64 3.51 0.246 3.18 1.58 0.952 0.763 0.783 0.978 0.848
EC-Earth3_CCAM [-] 3.92 3.57 2.66 4.20 0.911 3.44 1.66 0.912 0.752 0.767 0.962 0.829
EC-Earth3_CMIP6 [-] 3.00 2.51 2.54 3.48 -0.0240 2.77 1.54 0.955 0.769 0.787 0.980 0.852
ERA5_BARPA [-] 3.34 3.07 2.64 3.56 0.424 3.17 1.75 0.950 0.763 0.751 0.981 0.842
ERA5_CCAM [-] 3.80 3.59 2.66 3.96 0.931 3.44 1.68 0.912 0.754 0.764 0.973 0.832
MPI-ESM1-2-HR_BARPA [-] 3.07 2.75 2.64 3.33 0.104 3.17 1.62 0.959 0.762 0.773 0.979 0.847
MPI-ESM1-2-HR_CMIP6 [-] 2.41 2.08 2.52 2.74 -0.437 4.35 2.57 0.943 0.674 0.600 0.948 0.768
NorESM2-MM_BARPA [-] 3.48 3.17 2.64 3.72 0.527 3.50 2.08 0.941 0.745 0.686 0.964 0.816
NorESM2-MM_CCAM [-] 3.76 3.54 2.66 3.94 0.880 3.59 1.72 0.917 0.747 0.755 0.935 0.820
NorESM2-MM_CMIP6 [-] 3.40 3.07 2.51 3.76 0.558 2.91 1.50 0.932 0.744 0.798 0.974 0.838
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 [-] 3.09
ACCESS-CM2_BARPA [-] 2.88 2.81 3.00 2.89 -0.191 2.92 1.48 0.950 0.763 0.814 0.677 0.794
ACCESS-CM2_CCAM [-] 3.77 3.82 3.03 3.76 0.787 3.25 1.29 0.924 0.745 0.853 0.746 0.803
ACCESS-CM2_CMIP6 [-] 2.75 2.47 2.68 2.85 -0.211 2.71 1.56 0.956 0.718 0.804 0.910 0.821
ACCESS-ESM1-5_BARPA [-] 2.69 2.77 3.00 2.67 -0.230 2.88 1.17 0.949 0.766 0.881 0.673 0.807
ACCESS-ESM1-5_CCAM [-] 4.06 4.18 3.03 4.03 1.14 3.49 1.19 0.894 0.736 0.870 0.725 0.793
ACCESS-ESM1-5_CMIP6 [-] 3.19 2.97 2.69 3.27 0.283 2.65 1.07 0.953 0.731 0.899 0.823 0.827
CESM2_BARPA [-] 2.68 2.76 3.00 2.66 -0.240 2.64 1.19 0.943 0.786 0.862 0.575 0.790
CESM2_CCAM [-] 4.36 3.92 3.03 4.46 0.890 2.94 1.17 0.916 0.768 0.870 0.868 0.838
CESM2_CMIP6 [-] 2.91 2.78 2.73 2.96 0.0454 2.16 1.22 0.972 0.784 0.849 0.985 0.875
CMCC-ESM2_BARPA [-] 2.66 2.60 3.00 2.67 -0.402 2.65 1.25 0.940 0.785 0.858 0.580 0.790
CMCC-ESM2_CCAM [-] 4.18 4.24 3.03 4.17 1.21 3.18 1.22 0.889 0.759 0.856 0.604 0.774
CMCC-ESM2_CMIP6 [-] 2.65 2.36 2.73 2.75 -0.366 1.87 1.07 0.957 0.813 0.889 0.973 0.889
CNRM-ESM2-1_CCAM [-] 4.16 4.57 3.03 4.07 1.54 3.51 1.49 0.862 0.736 0.815 0.451 0.720
CNRM-ESM2-1_CMIP6 [-] 2.62 2.42 2.64 2.70 -0.225 2.19 1.27 0.961 0.778 0.864 0.990 0.874
EC-Earth3_BARPA [-] 3.05 3.38 3.00 2.97 0.375 2.80 1.10 0.932 0.772 0.871 0.521 0.774
EC-Earth3_CCAM [-] 4.47 4.56 3.03 4.46 1.53 3.14 1.17 0.863 0.760 0.859 0.577 0.764
EC-Earth3_CMIP6 [-] 2.74 2.47 2.84 2.82 -0.372 2.08 1.19 0.949 0.815 0.848 0.850 0.855
ERA5_BARPA [-] 2.85 2.94 3.00 2.83 -0.0652 2.58 1.28 0.945 0.790 0.852 0.588 0.793
ERA5_CCAM [-] 4.14 4.26 3.03 4.11 1.23 3.24 1.27 0.887 0.755 0.845 0.586 0.766
MPI-ESM1-2-HR_BARPA [-] 2.86 3.32 3.00 2.76 0.312 2.67 1.21 0.930 0.783 0.862 0.413 0.754
MPI-ESM1-2-HR_CMIP6 [-] 1.97 1.95 2.81 1.98 -0.864 2.79 1.05 0.911 0.770 0.895 0.938 0.857
NorESM2-MM_BARPA [-] 3.09 3.02 3.00 3.11 0.0148 2.84 1.20 0.946 0.771 0.854 0.579 0.784
NorESM2-MM_CCAM [-] 4.15 4.22 3.03 4.13 1.19 3.07 1.39 0.892 0.769 0.817 0.758 0.801
NorESM2-MM_CMIP6 [-] 3.07 2.85 2.73 3.15 0.122 2.17 1.13 0.972 0.783 0.871 0.994 0.880
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 [-] 2.75
ACCESS-CM2_BARPA [-] 3.08 3.08 2.71 0.363 2.97 1.46 0.964 0.776 0.817 0.962 0.859
ACCESS-CM2_CCAM [-] 3.53 3.53 2.72 0.807 3.38 1.47 0.932 0.758 0.811 0.994 0.850
ACCESS-CM2_CMIP6 [-] 3.40 3.40 2.63 0.768 2.79 2.28 0.905 0.709 0.629 0.991 0.789
ACCESS-ESM1-5_BARPA [-] 3.34 3.34 2.71 0.627 3.16 1.84 0.945 0.767 0.739 0.995 0.843
ACCESS-ESM1-5_CCAM [-] 3.69 3.69 2.72 0.963 3.54 1.66 0.920 0.751 0.778 0.989 0.838
ACCESS-ESM1-5_CMIP6 [-] 3.23 3.23 2.61 0.622 2.69 0.985 0.922 0.719 0.892 0.672 0.785
CESM2_BARPA [-] 3.08 3.08 2.71 0.371 3.14 1.72 0.964 0.765 0.760 0.982 0.847
CESM2_CCAM [-] 2.99 2.99 2.72 0.264 2.99 1.46 0.967 0.778 0.809 0.967 0.860
CESM2_CMIP6 [-] 3.39 3.39 2.64 0.744 3.47 1.60 0.916 0.676 0.787 0.997 0.810
CMCC-ESM2_BARPA [-] 3.03 3.03 2.71 0.313 3.15 1.46 0.967 0.764 0.810 0.996 0.860
CMCC-ESM2_CCAM [-] 3.80 3.80 2.72 1.08 3.70 1.69 0.911 0.742 0.766 0.970 0.826
CMCC-ESM2_CMIP6 [-] 3.30 3.30 2.64 0.660 2.59 1.81 0.926 0.748 0.726 0.994 0.828
CNRM-ESM2-1_CCAM [-] 3.48 3.48 2.72 0.754 3.15 1.36 0.937 0.773 0.823 0.992 0.859
CNRM-ESM2-1_CMIP6 [-] 2.30 2.30 2.60 -0.298 2.44 1.39 0.954 0.745 0.816 0.866 0.826
EC-Earth3_BARPA [-] 2.81 2.81 2.71 0.0997 3.24 1.65 0.970 0.758 0.775 0.921 0.837
EC-Earth3_CCAM [-] 3.39 3.39 2.72 0.661 3.61 1.78 0.941 0.741 0.757 0.994 0.835
EC-Earth3_CMIP6 [-] 2.10 2.10 2.65 -0.558 2.56 1.30 0.944 0.776 0.849 0.995 0.868
ERA5_BARPA [-] 3.29 3.29 2.71 0.579 3.43 2.26 0.949 0.749 0.656 0.996 0.820
ERA5_CCAM [-] 3.82 3.82 2.72 1.10 3.48 1.75 0.910 0.757 0.754 0.991 0.833
MPI-ESM1-2-HR_BARPA [-] 2.57 2.57 2.71 -0.148 3.04 1.72 0.974 0.771 0.761 0.964 0.848
MPI-ESM1-2-HR_CMIP6 [-] 2.11 2.11 2.66 -0.551 3.02 3.04 0.941 0.724 0.499 0.993 0.776
NorESM2-MM_BARPA [-] 3.32 3.32 2.71 0.604 3.41 2.13 0.948 0.750 0.682 0.997 0.825
NorESM2-MM_CCAM [-] 3.62 3.62 2.72 0.893 3.65 1.49 0.925 0.741 0.814 0.970 0.838
NorESM2-MM_CMIP6 [-] 3.29 3.29 2.64 0.647 2.95 2.78 0.927 0.719 0.567 0.987 0.784
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 [-] 2.90
ACCESS-CM2_BARPA [-] 3.28 3.28 2.85 0.432 3.11 1.60 0.960 0.781 0.779 0.995 0.859
ACCESS-CM2_CCAM [-] 3.70 3.70 2.86 0.836 3.51 1.69 0.933 0.763 0.764 0.995 0.844
ACCESS-CM2_CMIP6 [-] 3.13 3.13 2.88 0.247 2.65 0.899 0.966 0.740 0.882 0.989 0.863
ACCESS-ESM1-5_BARPA [-] 3.57 3.57 2.85 0.727 3.88 1.58 0.940 0.736 0.793 0.965 0.834
ACCESS-ESM1-5_CCAM [-] 4.07 4.07 2.86 1.21 3.66 1.70 0.906 0.761 0.759 0.974 0.833
ACCESS-ESM1-5_CMIP6 [-] 3.29 3.29 2.72 0.567 2.98 1.21 0.931 0.706 0.868 0.939 0.830
CESM2_BARPA [-] 2.92 2.92 2.85 0.0770 3.13 1.59 0.967 0.779 0.787 0.985 0.859
CESM2_CCAM [-] 3.37 3.37 2.86 0.509 3.16 1.68 0.955 0.781 0.764 0.987 0.853
CESM2_CMIP6 [-] 3.32 3.32 2.72 0.597 3.12 2.01 0.937 0.721 0.699 0.930 0.801
CMCC-ESM2_BARPA [-] 3.16 3.16 2.85 0.309 3.14 1.57 0.962 0.778 0.790 0.960 0.854
CMCC-ESM2_CCAM [-] 3.79 3.79 2.86 0.929 3.60 1.88 0.926 0.759 0.730 0.924 0.820
CMCC-ESM2_CMIP6 [-] 2.98 2.98 2.72 0.257 2.05 1.29 0.960 0.807 0.811 0.674 0.812
CNRM-ESM2-1_CCAM [-] 3.89 3.89 2.86 1.03 3.75 2.08 0.919 0.751 0.689 0.975 0.817
CNRM-ESM2-1_CMIP6 [-] 2.43 2.43 2.73 -0.307 2.75 1.71 0.961 0.733 0.769 0.919 0.823
EC-Earth3_BARPA [-] 3.13 3.13 2.85 0.285 3.39 1.66 0.967 0.761 0.761 0.984 0.847
EC-Earth3_CCAM [-] 3.80 3.80 2.86 0.941 3.69 2.05 0.926 0.752 0.697 0.995 0.824
EC-Earth3_CMIP6 [-] 2.46 2.46 2.74 -0.284 2.52 1.99 0.948 0.791 0.691 0.902 0.824
ERA5_BARPA [-] 3.42 3.42 2.85 0.570 3.20 1.89 0.951 0.776 0.716 0.955 0.835
ERA5_CCAM [-] 4.10 4.10 2.86 1.24 3.53 1.82 0.904 0.770 0.741 0.976 0.832
MPI-ESM1-2-HR_BARPA [-] 2.61 2.61 2.85 -0.232 3.32 1.76 0.971 0.767 0.745 0.994 0.849
MPI-ESM1-2-HR_CMIP6 [-] 2.16 2.16 2.78 -0.619 4.75 5.25 0.940 0.621 0.0905 0.982 0.651
NorESM2-MM_BARPA [-] 3.44 3.44 2.85 0.591 3.37 1.62 0.949 0.766 0.769 0.888 0.828
NorESM2-MM_CCAM [-] 3.64 3.64 2.86 0.778 3.55 1.86 0.937 0.760 0.729 0.961 0.829
NorESM2-MM_CMIP6 [-] 3.08 3.08 2.72 0.351 2.23 1.41 0.957 0.792 0.797 0.667 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 [-] 3.58
ACCESS-CM2_BARPA [-] 3.80 3.80 3.57 0.226 3.20 0.939 0.971 0.780 0.881 0.973 0.877
ACCESS-CM2_CCAM [-] 4.11 4.11 3.57 0.536 3.69 1.60 0.953 0.755 0.779 0.979 0.844
ACCESS-CM2_CMIP6 [-] 3.86 3.86 3.60 0.253 3.31 1.25 0.974 0.709 0.861 0.821 0.815
ACCESS-ESM1-5_BARPA [-] 3.84 3.84 3.57 0.270 3.37 1.41 0.968 0.770 0.803 0.886 0.839
ACCESS-ESM1-5_CCAM [-] 4.49 4.49 3.57 0.924 3.98 1.73 0.929 0.742 0.782 0.945 0.828
ACCESS-ESM1-5_CMIP6 [-] 3.63 3.63 3.46 0.173 2.44 0.756 0.969 0.750 0.922 0.881 0.854
CESM2_BARPA [-] 3.47 3.47 3.57 -0.105 3.38 1.37 0.975 0.768 0.827 0.932 0.854
CESM2_CCAM [-] 3.68 3.68 3.57 0.112 3.36 1.43 0.969 0.772 0.829 0.988 0.866
CESM2_CMIP6 [-] 3.95 3.95 3.52 0.431 3.44 0.763 0.953 0.711 0.951 0.957 0.857
CMCC-ESM2_BARPA [-] 3.74 3.74 3.57 0.172 3.96 1.84 0.975 0.734 0.760 0.987 0.838
CMCC-ESM2_CCAM [-] 4.56 4.56 3.57 0.988 4.06 1.43 0.925 0.738 0.822 0.995 0.844
CMCC-ESM2_CMIP6 [-] 4.24 4.24 3.52 0.721 2.74 0.991 0.930 0.768 0.923 0.912 0.860
CNRM-ESM2-1_CCAM [-] 4.14 4.14 3.57 0.565 3.58 1.67 0.953 0.762 0.771 0.992 0.848
CNRM-ESM2-1_CMIP6 [-] 3.26 3.26 3.58 -0.319 2.39 2.19 0.958 0.776 0.659 0.995 0.833
EC-Earth3_BARPA [-] 3.75 3.75 3.57 0.176 2.97 1.12 0.975 0.793 0.838 0.966 0.873
EC-Earth3_CCAM [-] 4.15 4.15 3.57 0.585 3.53 1.82 0.952 0.764 0.733 0.946 0.832
EC-Earth3_CMIP6 [-] 3.40 3.40 3.57 -0.166 2.87 0.896 0.966 0.770 0.925 0.819 0.850
ERA5_BARPA [-] 3.96 3.96 3.57 0.384 3.36 1.71 0.966 0.770 0.764 0.997 0.853
ERA5_CCAM [-] 4.52 4.52 3.57 0.955 3.39 1.56 0.927 0.777 0.784 0.997 0.852
MPI-ESM1-2-HR_BARPA [-] 3.29 3.29 3.57 -0.285 3.00 1.43 0.970 0.792 0.786 0.994 0.867
MPI-ESM1-2-HR_CMIP6 [-] 2.76 2.76 3.56 -0.797 2.89 1.94 0.924 0.766 0.712 0.896 0.813
NorESM2-MM_BARPA [-] 4.06 4.06 3.57 0.484 3.49 1.61 0.957 0.762 0.758 0.993 0.846
NorESM2-MM_CCAM [-] 3.99 3.99 3.57 0.417 3.36 1.19 0.960 0.774 0.848 0.893 0.850
NorESM2-MM_CMIP6 [-] 3.93 3.93 3.52 0.417 3.02 1.56 0.957 0.742 0.793 0.998 0.846
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 [-] 2.45
ACCESS-CM2_BARPA [-] 2.86 2.86 2.35 2.87 0.501 3.30 1.73 0.944 0.732 0.771 0.967 0.829
ACCESS-CM2_CCAM [-] 3.55 3.56 2.38 3.34 1.17 3.35 1.22 0.888 0.743 0.843 0.900 0.824
ACCESS-CM2_CMIP6 [-] 2.60 2.60 2.07 0.535 2.67 1.80 0.912 0.696 0.743 0.947 0.799
ACCESS-ESM1-5_BARPA [-] 2.95 2.95 2.35 2.93 0.600 2.98 1.19 0.936 0.757 0.847 0.990 0.857
ACCESS-ESM1-5_CCAM [-] 3.71 3.72 2.38 3.41 1.33 3.45 1.25 0.876 0.743 0.839 0.957 0.831
ACCESS-ESM1-5_CMIP6 [-] 2.69 2.69 2.05 0.642 2.61 0.934 0.910 0.692 0.892 0.992 0.836
CESM2_BARPA [-] 2.79 2.79 2.35 2.91 0.438 2.92 1.63 0.946 0.759 0.782 0.932 0.835
CESM2_CCAM [-] 2.88 2.88 2.38 3.11 0.498 2.74 1.25 0.945 0.774 0.843 0.977 0.863
CESM2_CMIP6 [-] 2.37 2.37 2.10 0.279 1.91 0.910 0.955 0.779 0.906 0.995 0.883
CMCC-ESM2_BARPA [-] 2.68 2.68 2.35 2.62 0.323 2.86 1.91 0.953 0.763 0.720 0.981 0.836
CMCC-ESM2_CCAM [-] 3.88 3.88 2.38 3.52 1.50 3.45 1.38 0.862 0.735 0.820 0.845 0.799
CMCC-ESM2_CMIP6 [-] 2.55 2.55 2.10 0.454 2.03 0.605 0.938 0.769 0.953 0.953 0.877
CNRM-ESM2-1_CCAM [-] 4.07 4.07 2.38 4.36 1.69 3.53 1.33 0.846 0.736 0.823 0.882 0.805
CNRM-ESM2-1_CMIP6 [-] 2.13 2.13 2.06 0.0670 2.27 1.71 0.953 0.730 0.765 0.965 0.828
EC-Earth3_BARPA [-] 3.05 3.05 2.35 3.30 0.699 2.96 1.63 0.927 0.756 0.773 0.904 0.823
EC-Earth3_CCAM [-] 3.81 3.81 2.38 3.88 1.43 3.40 1.17 0.867 0.737 0.841 0.864 0.809
EC-Earth3_CMIP6 [-] 2.52 2.52 2.17 0.351 2.46 2.04 0.945 0.758 0.672 0.916 0.810
ERA5_BARPA [-] 3.01 3.01 2.35 3.59 0.656 2.92 1.52 0.932 0.760 0.802 0.904 0.832
ERA5_CCAM [-] 3.95 3.95 2.38 3.90 1.57 3.66 1.15 0.856 0.727 0.844 0.954 0.822
MPI-ESM1-2-HR_BARPA [-] 2.74 2.74 2.35 3.05 0.384 2.68 1.21 0.942 0.775 0.846 0.811 0.830
MPI-ESM1-2-HR_CMIP6 [-] 1.73 1.73 2.13 -0.397 5.60 3.69 0.948 0.550 0.404 0.981 0.687
NorESM2-MM_BARPA [-] 2.87 2.87 2.35 3.02 0.515 2.81 1.45 0.942 0.770 0.791 0.934 0.842
NorESM2-MM_CCAM [-] 3.49 3.48 2.38 3.50 1.10 3.26 1.25 0.895 0.749 0.835 0.943 0.834
NorESM2-MM_CMIP6 [-] 2.31 2.31 2.10 0.212 1.86 0.715 0.967 0.787 0.939 0.967 0.889
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 [-] 2.82
ACCESS-CM2_BARPA [-] 3.25 3.25 2.74 3.23 0.507 3.43 1.50 0.937 0.731 0.817 0.871 0.818
ACCESS-CM2_CCAM [-] 4.25 4.26 2.77 4.16 1.49 3.66 1.15 0.864 0.734 0.874 0.930 0.827
ACCESS-CM2_CMIP6 [-] 3.07 3.07 2.38 0.688 3.18 1.43 0.910 0.653 0.833 0.935 0.797
ACCESS-ESM1-5_BARPA [-] 3.32 3.33 2.74 3.25 0.590 3.51 1.06 0.931 0.723 0.893 0.913 0.837
ACCESS-ESM1-5_CCAM [-] 4.37 4.36 2.77 4.44 1.59 3.67 1.14 0.856 0.735 0.877 0.889 0.818
ACCESS-ESM1-5_CMIP6 [-] 3.10 3.10 2.36 0.739 2.51 0.953 0.900 0.720 0.912 0.897 0.830
CESM2_BARPA [-] 3.16 3.17 2.74 3.15 0.424 3.05 1.28 0.943 0.755 0.838 0.886 0.835
CESM2_CCAM [-] 3.22 3.19 2.77 3.43 0.419 2.69 1.39 0.951 0.778 0.828 0.885 0.844
CESM2_CMIP6 [-] 2.93 2.93 2.47 0.463 2.01 1.13 0.938 0.784 0.876 0.989 0.874
CMCC-ESM2_BARPA [-] 3.11 3.13 2.74 2.97 0.384 3.30 1.78 0.945 0.737 0.751 0.923 0.819
CMCC-ESM2_CCAM [-] 4.62 4.64 2.77 4.48 1.87 3.77 1.35 0.834 0.729 0.831 0.800 0.784
CMCC-ESM2_CMIP6 [-] 2.52 2.52 2.47 0.0504 1.73 0.865 0.959 0.810 0.925 0.810 0.863
CNRM-ESM2-1_CCAM [-] 5.05 5.07 2.77 4.93 2.30 4.11 1.53 0.799 0.710 0.797 0.786 0.761
CNRM-ESM2-1_CMIP6 [-] 2.29 2.29 2.40 -0.112 2.06 0.720 0.964 0.774 0.938 0.915 0.873
EC-Earth3_BARPA [-] 3.86 3.85 2.74 3.93 1.11 3.03 1.16 0.893 0.756 0.859 0.916 0.836
EC-Earth3_CCAM [-] 4.79 4.79 2.77 4.82 2.02 3.38 1.11 0.822 0.748 0.870 0.807 0.799
EC-Earth3_CMIP6 [-] 2.79 2.79 2.55 2.46 0.240 2.18 0.948 0.952 0.796 0.888 0.938 0.874
ERA5_BARPA [-] 3.48 3.49 2.74 3.41 0.743 3.08 1.37 0.924 0.757 0.822 0.978 0.848
ERA5_CCAM [-] 4.55 4.56 2.77 4.52 1.79 3.50 1.22 0.840 0.742 0.850 0.830 0.801
MPI-ESM1-2-HR_BARPA [-] 3.68 3.67 2.74 3.72 0.927 3.24 1.50 0.909 0.740 0.807 0.780 0.795
MPI-ESM1-2-HR_CMIP6 [-] 2.01 2.01 2.48 1.91 -0.470 5.11 2.03 0.935 0.655 0.711 0.940 0.779
NorESM2-MM_BARPA [-] 3.52 3.52 2.74 3.48 0.779 3.39 1.37 0.919 0.742 0.815 0.898 0.823
NorESM2-MM_CCAM [-] 4.36 4.34 2.77 4.53 1.57 3.57 1.37 0.858 0.746 0.817 0.799 0.793
NorESM2-MM_CMIP6 [-] 2.82 2.82 2.47 0.355 1.99 0.759 0.951 0.789 0.934 0.989 0.891
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 [-] 3.02
ACCESS-CM2_BARPA [-] 3.44 3.44 2.99 0.450 3.52 1.72 0.960 0.764 0.749 0.980 0.843
ACCESS-CM2_CCAM [-] 3.35 3.35 3.00 0.342 3.41 1.72 0.963 0.769 0.764 0.956 0.844
ACCESS-CM2_CMIP6 [-] 3.51 3.51 2.93 0.581 3.39 1.64 0.938 0.693 0.782 0.995 0.820
ACCESS-ESM1-5_BARPA [-] 3.16 3.16 2.99 0.162 3.32 1.58 0.974 0.771 0.796 0.990 0.861
ACCESS-ESM1-5_CCAM [-] 3.22 3.22 3.00 0.213 3.53 1.65 0.971 0.761 0.776 0.982 0.850
ACCESS-ESM1-5_CMIP6 [-] 3.08 3.08 2.97 0.110 3.09 1.17 0.957 0.715 0.881 0.988 0.851
CESM2_BARPA [-] 3.19 3.19 2.99 0.195 3.41 1.59 0.974 0.766 0.797 0.987 0.858
CESM2_CCAM [-] 2.68 2.68 3.00 -0.323 3.19 1.29 0.969 0.783 0.836 0.991 0.873
CESM2_CMIP6 [-] 3.38 3.38 2.98 0.402 3.56 1.31 0.958 0.704 0.868 0.997 0.846
CMCC-ESM2_BARPA [-] 3.18 3.18 2.99 0.186 3.48 2.27 0.973 0.762 0.649 0.995 0.828
CMCC-ESM2_CCAM [-] 3.76 3.76 3.00 0.753 3.70 1.86 0.938 0.755 0.736 0.892 0.815
CMCC-ESM2_CMIP6 [-] 3.45 3.45 2.98 0.475 3.02 1.72 0.950 0.745 0.775 0.944 0.832
CNRM-ESM2-1_CCAM [-] 3.24 3.24 3.00 0.234 3.48 1.68 0.970 0.765 0.778 0.968 0.849
CNRM-ESM2-1_CMIP6 [-] 2.91 2.91 2.96 -0.0498 2.53 1.28 0.974 0.762 0.822 0.972 0.858
EC-Earth3_BARPA [-] 2.80 2.80 2.99 -0.190 3.12 1.30 0.975 0.784 0.832 0.991 0.873
EC-Earth3_CCAM [-] 3.08 3.08 3.00 0.0740 3.42 1.54 0.976 0.767 0.798 0.988 0.859
EC-Earth3_CMIP6 [-] 2.50 2.50 2.97 -0.471 3.03 0.921 0.950 0.765 0.888 0.863 0.846
ERA5_BARPA [-] 3.35 3.35 2.99 0.352 3.29 1.46 0.965 0.773 0.804 0.996 0.862
ERA5_CCAM [-] 3.45 3.45 3.00 0.451 3.27 1.61 0.957 0.779 0.775 0.940 0.846
MPI-ESM1-2-HR_BARPA [-] 2.99 2.99 2.99 -0.00472 3.41 1.39 0.979 0.766 0.813 0.997 0.864
MPI-ESM1-2-HR_CMIP6 [-] 2.51 2.51 2.93 -0.420 2.89 1.35 0.960 0.757 0.826 0.994 0.859
NorESM2-MM_BARPA [-] 3.46 3.46 2.99 0.469 3.66 2.17 0.959 0.752 0.675 0.994 0.826
NorESM2-MM_CCAM [-] 3.50 3.50 3.00 0.493 3.59 1.27 0.956 0.760 0.829 0.994 0.860
NorESM2-MM_CMIP6 [-] 3.56 3.56 2.98 0.585 3.31 1.29 0.942 0.725 0.847 0.901 0.828
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 [-] 2.08
ACCESS-CM2_BARPA [-] 2.69 2.65 2.01 2.76 0.640 3.42 2.03 0.937 0.733 0.693 0.978 0.815
ACCESS-CM2_CCAM [-] 3.40 3.36 2.03 3.48 1.32 3.65 1.85 0.880 0.731 0.732 0.864 0.788
ACCESS-CM2_CMIP6 [-] 2.74 2.71 1.72 2.96 0.989 3.12 1.91 0.873 0.679 0.703 0.874 0.762
ACCESS-ESM1-5_BARPA [-] 2.65 2.62 2.01 2.71 0.617 3.14 1.71 0.938 0.752 0.760 0.948 0.830
ACCESS-ESM1-5_CCAM [-] 3.24 3.29 2.03 3.16 1.26 3.54 1.67 0.885 0.737 0.771 0.906 0.807
ACCESS-ESM1-5_CMIP6 [-] 2.56 2.57 1.73 2.50 0.842 2.77 1.25 0.890 0.706 0.857 0.965 0.825
CESM2_BARPA [-] 2.43 2.49 2.01 2.32 0.486 3.30 1.80 0.947 0.739 0.742 0.980 0.829
CESM2_CCAM [-] 2.32 2.33 2.03 2.28 0.304 3.25 1.83 0.959 0.744 0.737 0.988 0.834
CESM2_CMIP6 [-] 2.47 2.53 1.78 2.15 0.745 2.90 1.38 0.908 0.712 0.838 0.988 0.832
CMCC-ESM2_BARPA [-] 2.43 2.41 2.01 2.47 0.403 3.70 2.18 0.954 0.715 0.669 0.989 0.808
CMCC-ESM2_CCAM [-] 3.75 3.68 2.03 3.89 1.65 4.07 2.17 0.854 0.708 0.673 0.869 0.762
CMCC-ESM2_CMIP6 [-] 2.81 2.78 1.78 2.94 0.997 3.11 2.30 0.884 0.707 0.650 0.983 0.786
CNRM-ESM2-1_CCAM [-] 3.51 3.47 2.03 3.58 1.44 3.69 1.85 0.871 0.727 0.734 0.699 0.752
CNRM-ESM2-1_CMIP6 [-] 1.65 1.67 1.74 1.54 -0.0723 2.34 1.69 0.956 0.743 0.764 0.981 0.837
EC-Earth3_BARPA [-] 2.37 2.34 2.01 2.43 0.330 2.99 1.72 0.954 0.759 0.759 0.801 0.807
EC-Earth3_CCAM [-] 3.43 3.40 2.03 3.47 1.37 3.58 1.90 0.877 0.728 0.726 0.691 0.750
EC-Earth3_CMIP6 [-] 2.04 2.01 1.84 2.13 0.176 2.51 1.56 0.964 0.767 0.789 0.887 0.835
ERA5_BARPA [-] 2.63 2.60 2.01 2.69 0.598 3.29 2.15 0.939 0.740 0.673 0.941 0.806
ERA5_CCAM [-] 3.40 3.44 2.03 3.32 1.41 3.68 1.96 0.874 0.728 0.714 0.814 0.771
MPI-ESM1-2-HR_BARPA [-] 2.29 2.24 2.01 2.37 0.235 3.04 1.84 0.961 0.755 0.729 0.890 0.818
MPI-ESM1-2-HR_CMIP6 [-] 1.71 1.72 1.80 1.65 -0.0796 6.24 3.52 0.949 0.564 0.417 0.700 0.639
NorESM2-MM_BARPA [-] 2.86 2.84 2.01 2.89 0.832 3.80 2.85 0.920 0.710 0.534 0.989 0.773
NorESM2-MM_CCAM [-] 3.38 3.34 2.03 3.44 1.31 3.71 1.93 0.881 0.730 0.719 0.974 0.807
NorESM2-MM_CMIP6 [-] 2.62 2.63 1.78 2.56 0.848 2.66 1.33 0.898 0.741 0.828 0.984 0.838
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 [-] 2.06
ACCESS-CM2_BARPA [-] 2.51 2.50 1.99 2.53 0.511 3.08 1.41 0.950 0.761 0.810 0.983 0.853
ACCESS-CM2_CCAM [-] 2.64 2.66 2.01 2.61 0.649 3.33 1.70 0.938 0.749 0.767 0.989 0.838
ACCESS-CM2_CMIP6 [-] 2.37 2.35 1.78 2.42 0.578 2.83 1.38 0.924 0.712 0.843 0.985 0.835
ACCESS-ESM1-5_BARPA [-] 2.35 2.33 1.99 2.40 0.338 3.40 1.49 0.961 0.738 0.813 0.970 0.844
ACCESS-ESM1-5_CCAM [-] 2.40 2.40 2.01 2.40 0.388 3.15 1.72 0.956 0.758 0.759 0.980 0.842
ACCESS-ESM1-5_CMIP6 [-] 2.26 2.24 1.79 2.41 0.450 2.69 1.13 0.935 0.725 0.869 0.905 0.832
CESM2_BARPA [-] 2.21 2.24 1.99 2.15 0.248 3.09 1.50 0.966 0.759 0.803 0.953 0.848
CESM2_CCAM [-] 2.10 2.15 2.01 1.98 0.141 3.67 1.62 0.968 0.726 0.784 0.983 0.837
CESM2_CMIP6 [-] 2.33 2.34 1.82 2.30 0.519 2.90 1.13 0.937 0.727 0.885 0.948 0.845
CMCC-ESM2_BARPA [-] 2.33 2.32 1.99 2.36 0.333 3.56 2.26 0.962 0.727 0.653 0.916 0.797
CMCC-ESM2_CCAM [-] 3.22 3.21 2.01 3.24 1.20 3.51 1.96 0.895 0.747 0.712 0.987 0.818
CMCC-ESM2_CMIP6 [-] 2.57 2.59 1.82 2.48 0.776 2.74 2.34 0.910 0.746 0.633 0.988 0.805
CNRM-ESM2-1_CCAM [-] 2.77 2.81 2.01 2.68 0.795 3.13 1.50 0.927 0.764 0.802 0.963 0.844
CNRM-ESM2-1_CMIP6 [-] 1.83 1.84 1.74 1.76 0.101 2.43 1.30 0.962 0.752 0.840 0.977 0.857
EC-Earth3_BARPA [-] 2.10 2.16 1.99 1.95 0.171 3.02 1.39 0.965 0.765 0.822 0.984 0.860
EC-Earth3_CCAM [-] 2.53 2.56 2.01 2.46 0.553 3.06 1.60 0.942 0.766 0.782 0.863 0.824
EC-Earth3_CMIP6 [-] 1.76 1.77 1.85 1.73 -0.0817 2.32 1.35 0.959 0.792 0.822 0.946 0.862
ERA5_BARPA [-] 2.39 2.41 1.99 2.35 0.418 2.98 1.48 0.957 0.767 0.808 0.938 0.847
ERA5_CCAM [-] 2.50 2.53 2.01 2.43 0.521 3.07 1.58 0.948 0.765 0.788 0.973 0.848
MPI-ESM1-2-HR_BARPA [-] 2.07 2.10 1.99 1.98 0.112 3.11 1.41 0.971 0.757 0.818 0.975 0.856
MPI-ESM1-2-HR_CMIP6 [-] 1.56 1.62 1.84 1.35 -0.214 3.37 2.27 0.965 0.695 0.673 0.987 0.803
NorESM2-MM_BARPA [-] 2.58 2.61 1.99 2.51 0.624 3.45 1.99 0.941 0.738 0.713 0.957 0.817
NorESM2-MM_CCAM [-] 2.92 2.92 2.01 2.92 0.914 3.39 1.81 0.918 0.750 0.736 0.981 0.827
NorESM2-MM_CMIP6 [-] 2.70 2.71 1.82 2.66 0.892 2.95 1.57 0.900 0.733 0.771 0.988 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 [-] 3.93
ACCESS-CM2_BARPA [-] 4.35 4.35 3.92 0.431 3.79 2.85 0.959 0.748 0.532 0.993 0.796
ACCESS-CM2_CCAM [-] 4.35 4.35 3.93 0.429 3.67 2.57 0.958 0.758 0.587 0.951 0.803
ACCESS-CM2_CMIP6 [-] 4.77 4.77 4.23 0.532 3.79 1.48 0.941 0.655 0.849 0.953 0.811
ACCESS-ESM1-5_BARPA [-] 4.00 4.00 3.92 0.0777 3.17 2.04 0.964 0.784 0.685 0.868 0.817
ACCESS-ESM1-5_CCAM [-] 4.29 4.29 3.93 0.368 3.77 2.27 0.956 0.752 0.648 0.835 0.789
ACCESS-ESM1-5_CMIP6 [-] 4.53 4.53 3.97 0.558 3.34 0.983 0.947 0.723 0.937 1.00 0.866
CESM2_BARPA [-] 4.01 4.01 3.92 0.0950 3.66 2.30 0.959 0.757 0.644 0.776 0.779
CESM2_CCAM [-] 4.32 4.32 3.93 0.390 4.00 2.09 0.962 0.738 0.703 0.991 0.827
CESM2_CMIP6 [-] 5.38 5.38 3.78 1.60 5.52 0.00 0.841 0.565 1.00 0.0233 0.599
CMCC-ESM2_BARPA [-] 4.19 4.19 3.92 0.266 3.58 2.66 0.958 0.762 0.573 0.807 0.772
CMCC-ESM2_CCAM [-] 4.95 4.95 3.93 1.03 4.64 2.57 0.923 0.707 0.613 0.984 0.787
CMCC-ESM2_CMIP6 [-] 4.59 4.59 3.78 0.811 3.24 1.03 0.916 0.713 0.930 0.119 0.678
CNRM-ESM2-1_CCAM [-] 4.06 4.06 3.93 0.134 3.43 2.66 0.971 0.771 0.577 0.996 0.817
CNRM-ESM2-1_CMIP6 [-] 4.06 4.06 4.03 0.0317 1.91 0.511 0.957 0.826 0.966 0.348 0.784
EC-Earth3_BARPA [-] 4.06 4.06 3.92 0.144 3.80 2.27 0.970 0.745 0.666 0.995 0.824
EC-Earth3_CCAM [-] 4.36 4.36 3.93 0.437 4.06 2.05 0.962 0.735 0.709 0.996 0.828
EC-Earth3_CMIP6 [-] 4.23 4.23 3.84 0.391 4.88 1.84 0.953 0.625 0.760 0.358 0.665
ERA5_BARPA [-] 4.39 4.39 3.92 0.469 3.16 2.17 0.957 0.786 0.676 0.983 0.838
ERA5_CCAM [-] 4.14 4.14 3.93 0.214 3.39 2.37 0.974 0.773 0.635 0.989 0.829
MPI-ESM1-2-HR_BARPA [-] 3.87 3.87 3.92 -0.0542 3.85 2.17 0.963 0.743 0.683 0.906 0.808
MPI-ESM1-2-HR_CMIP6 [-] 4.20 4.20 3.89 0.314 3.74 1.03 0.916 0.693 0.830 0.122 0.651
NorESM2-MM_BARPA [-] 4.40 4.40 3.92 0.476 3.98 2.83 0.956 0.739 0.546 0.888 0.774
NorESM2-MM_CCAM [-] 4.21 4.21 3.93 0.289 3.51 2.61 0.968 0.769 0.573 0.997 0.815
NorESM2-MM_CMIP6 [-] 4.75 4.75 3.78 0.973 4.21 0.983 0.900 0.642 0.937 0.0405 0.632
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 [-] 4.29
ACCESS-CM2_BARPA [-] 4.31 4.31 4.28 0.0309 3.11 3.39 0.956 0.760 0.437 0.830 0.749
ACCESS-CM2_CCAM [-] 4.49 4.49 4.29 0.198 3.07 3.02 0.955 0.767 0.506 0.912 0.781
ACCESS-CM2_CMIP6 [-] 4.42 4.42 4.16 0.257 2.59 0.00 0.966 0.707 1.00 1.00 0.876
ACCESS-ESM1-5_BARPA [-] 4.12 4.12 4.28 -0.165 2.98 3.42 0.954 0.771 0.418 0.775 0.738
ACCESS-ESM1-5_CCAM [-] 4.79 4.79 4.29 0.505 3.44 2.43 0.943 0.747 0.612 0.866 0.783
ACCESS-ESM1-5_CMIP6 [-] 5.51 5.51 4.05 1.46 5.34 1.48 0.834 0.527 0.849 0.667 0.681
CESM2_BARPA [-] 3.93 3.93 4.28 -0.355 2.83 2.96 0.949 0.781 0.505 0.795 0.762
CESM2_CCAM [-] 4.12 4.12 4.29 -0.167 3.12 2.48 0.959 0.764 0.614 0.884 0.797
CESM2_CMIP6 [-] 5.51 5.51 4.34 1.17 4.58 2.34 0.874 0.600 0.650 0.363 0.617
CMCC-ESM2_BARPA [-] 4.30 4.30 4.28 0.0140 3.00 2.96 0.957 0.766 0.498 0.827 0.763
CMCC-ESM2_CCAM [-] 5.01 5.01 4.29 0.726 3.37 2.43 0.934 0.750 0.617 0.998 0.810
CMCC-ESM2_CMIP6 [-] 4.91 4.91 4.34 0.575 3.30 2.00 0.938 0.687 0.732 0.188 0.647
CNRM-ESM2-1_CCAM [-] 4.29 4.29 4.29 0.00521 3.24 2.91 0.975 0.752 0.530 0.971 0.796
CNRM-ESM2-1_CMIP6 [-] 3.97 3.97 4.18 -0.216 2.43 2.04 0.968 0.750 0.725 0.485 0.735
EC-Earth3_BARPA [-] 4.40 4.40 4.28 0.123 3.07 2.61 0.961 0.764 0.586 0.880 0.791
EC-Earth3_CCAM [-] 4.68 4.68 4.29 0.388 2.74 2.70 0.958 0.789 0.560 0.912 0.801
EC-Earth3_CMIP6 [-] 4.57 4.57 4.33 0.248 3.63 2.26 0.973 0.689 0.688 0.980 0.804
ERA5_BARPA [-] 4.47 4.47 4.28 0.191 2.61 2.66 0.960 0.795 0.573 0.956 0.816
ERA5_CCAM [-] 4.46 4.46 4.29 0.172 2.78 2.80 0.969 0.785 0.551 0.981 0.814
MPI-ESM1-2-HR_BARPA [-] 4.06 4.06 4.28 -0.221 3.21 3.14 0.958 0.753 0.482 0.905 0.770
MPI-ESM1-2-HR_CMIP6 [-] 4.75 4.75 4.25 0.497 3.53 2.81 0.926 0.672 0.556 0.805 0.726
NorESM2-MM_BARPA [-] 4.16 4.16 4.28 -0.122 3.19 3.62 0.947 0.756 0.381 0.669 0.702
NorESM2-MM_CCAM [-] 4.39 4.39 4.29 0.105 3.05 2.78 0.960 0.768 0.545 0.941 0.796
NorESM2-MM_CMIP6 [-] 5.47 5.47 4.34 1.13 4.79 2.00 0.878 0.584 0.733 0.557 0.667
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 [-] 3.83
ACCESS-CM2_BARPA [-] 3.92 3.92 3.82 0.0932 3.39 2.81 0.978 0.776 0.538 0.998 0.813
ACCESS-CM2_CCAM [-] 3.97 3.97 3.83 0.138 3.82 2.70 0.975 0.753 0.568 0.993 0.808
ACCESS-CM2_CMIP6 [-] 3.79 3.79 3.77 0.0150 3.91 3.67 0.974 0.684 0.426 0.143 0.582
ACCESS-ESM1-5_BARPA [-] 3.90 3.90 3.82 0.0803 3.57 2.39 0.974 0.765 0.630 0.973 0.821
ACCESS-ESM1-5_CCAM [-] 4.06 4.06 3.83 0.233 4.57 2.70 0.968 0.713 0.579 0.971 0.789
ACCESS-ESM1-5_CMIP6 [-] 3.37 3.37 3.64 -0.268 3.74 2.31 0.959 0.674 0.654 0.861 0.764
CESM2_BARPA [-] 3.97 3.97 3.82 0.143 3.68 2.97 0.977 0.759 0.512 0.998 0.801
CESM2_CCAM [-] 3.57 3.57 3.83 -0.264 3.85 2.38 0.969 0.752 0.623 0.985 0.816
CESM2_CMIP6 [-] 3.87 3.87 3.74 0.128 4.27 1.99 0.976 0.650 0.703 0.865 0.769
CMCC-ESM2_BARPA [-] 4.16 4.16 3.82 0.331 3.68 2.80 0.970 0.760 0.544 0.996 0.806
CMCC-ESM2_CCAM [-] 4.53 4.53 3.83 0.698 3.91 2.62 0.947 0.751 0.578 0.958 0.797
CMCC-ESM2_CMIP6 [-] 4.13 4.13 3.74 0.392 3.24 2.51 0.947 0.724 0.597 0.996 0.798
CNRM-ESM2-1_CCAM [-] 3.83 3.83 3.83 -0.00532 4.09 2.87 0.974 0.738 0.534 0.945 0.786
CNRM-ESM2-1_CMIP6 [-] 3.63 3.63 3.96 -0.331 3.38 3.05 0.957 0.705 0.559 0.298 0.645
EC-Earth3_BARPA [-] 3.62 3.62 3.82 -0.203 3.39 2.62 0.969 0.776 0.559 0.981 0.812
EC-Earth3_CCAM [-] 4.02 4.02 3.83 0.189 3.67 2.60 0.972 0.763 0.580 0.961 0.808
EC-Earth3_CMIP6 [-] 3.31 3.31 3.77 -0.460 3.29 3.26 0.950 0.756 0.434 0.714 0.722
ERA5_BARPA [-] 4.14 4.14 3.82 0.316 3.41 2.29 0.969 0.775 0.621 0.997 0.827
ERA5_CCAM [-] 4.30 4.30 3.83 0.465 3.43 2.74 0.961 0.777 0.554 0.926 0.799
MPI-ESM1-2-HR_BARPA [-] 3.53 3.53 3.82 -0.299 3.34 2.30 0.967 0.779 0.627 0.863 0.803
MPI-ESM1-2-HR_CMIP6 [-] 3.30 3.30 3.76 -0.464 3.28 2.36 0.946 0.731 0.615 0.648 0.734
NorESM2-MM_BARPA [-] 4.08 4.08 3.82 0.258 3.66 2.59 0.973 0.761 0.586 0.994 0.815
NorESM2-MM_CCAM [-] 4.13 4.13 3.83 0.299 4.34 2.54 0.970 0.724 0.589 0.992 0.800
NorESM2-MM_CMIP6 [-] 4.18 4.18 3.74 0.438 3.52 2.16 0.952 0.702 0.693 0.966 0.803
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 [-] 4.44
ACCESS-CM2_BARPA [-] 4.55 4.55 4.45 0.0974 4.46 1.80 0.974 0.738 0.758 0.933 0.828
ACCESS-CM2_CCAM [-] 4.19 4.19 4.44 -0.253 3.88 1.42 0.975 0.769 0.827 0.947 0.858
ACCESS-CM2_CMIP6 [-] 4.00 4.00 4.55 -0.547 4.12 1.98 0.952 0.692 0.737 0.959 0.806
ACCESS-ESM1-5_BARPA [-] 4.51 4.51 4.45 0.0536 3.15 1.16 0.973 0.805 0.869 0.987 0.888
ACCESS-ESM1-5_CCAM [-] 4.30 4.30 4.44 -0.143 4.36 1.38 0.972 0.744 0.837 0.997 0.859
ACCESS-ESM1-5_CMIP6 [-] 3.97 3.97 4.08 -0.102 4.68 0.492 0.986 0.623 0.968 5.39e-05 0.640
CESM2_BARPA [-] 4.37 4.37 4.45 -0.0842 3.51 1.36 0.978 0.785 0.835 0.972 0.871
CESM2_CCAM [-] 4.13 4.13 4.44 -0.312 3.81 1.29 0.968 0.773 0.845 0.938 0.859
CESM2_CMIP6 [-] 4.49 4.49 4.49 0.00348 3.02 1.78 0.961 0.785 0.782 0.324 0.728
CMCC-ESM2_BARPA [-] 4.27 4.27 4.45 -0.186 3.62 1.86 0.968 0.782 0.744 0.967 0.849
CMCC-ESM2_CCAM [-] 4.52 4.52 4.44 0.0842 3.56 1.73 0.976 0.787 0.759 0.929 0.847
CMCC-ESM2_CMIP6 [-] 4.57 4.57 4.49 0.0849 2.75 1.21 0.976 0.802 0.861 0.714 0.831
CNRM-ESM2-1_CCAM [-] 4.20 4.20 4.44 -0.242 3.45 1.16 0.977 0.791 0.857 0.867 0.857
CNRM-ESM2-1_CMIP6 [-] 3.64 3.64 4.79 -1.14 2.86 0.00 0.913 0.811 1.00 1.00 0.907
EC-Earth3_BARPA [-] 4.23 4.23 4.45 -0.217 3.34 1.08 0.974 0.796 0.875 0.918 0.872
EC-Earth3_CCAM [-] 4.07 4.07 4.44 -0.365 3.13 1.14 0.966 0.811 0.867 0.926 0.876
EC-Earth3_CMIP6 [-] 4.03 4.03 4.47 -0.441 3.94 0.592 0.950 0.743 0.951 0.782 0.834
ERA5_BARPA [-] 4.53 4.53 4.45 0.0816 3.26 1.26 0.978 0.801 0.848 0.906 0.867
ERA5_CCAM [-] 4.49 4.49 4.44 0.0498 3.21 1.02 0.973 0.805 0.897 0.878 0.871
MPI-ESM1-2-HR_BARPA [-] 4.35 4.35 4.45 -0.104 3.75 1.66 0.973 0.773 0.778 0.917 0.843
MPI-ESM1-2-HR_CMIP6 [-] 3.67 3.67 4.40 -0.733 2.75 1.01 0.942 0.799 0.874 0.954 0.874
NorESM2-MM_BARPA [-] 4.36 4.36 4.45 -0.0910 3.66 1.83 0.970 0.779 0.737 0.956 0.844
NorESM2-MM_CCAM [-] 4.73 4.73 4.44 0.293 4.20 0.917 0.971 0.751 0.902 0.922 0.859
NorESM2-MM_CMIP6 [-] 4.41 4.41 4.49 -0.0818 4.84 1.39 0.976 0.675 0.829 0.374 0.706
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 [-] 3.28
ACCESS-CM2_BARPA [-] 3.45 3.45 3.20 0.247 4.27 1.39 0.974 0.733 0.823 0.891 0.831
ACCESS-CM2_CCAM [-] 3.02 3.02 3.24 -0.221 3.30 1.47 0.976 0.789 0.804 0.996 0.871
ACCESS-CM2_CMIP6 [-] 2.75 2.75 3.14 -0.386 3.36 0.983 0.962 0.724 0.937 0.899 0.849
ACCESS-ESM1-5_BARPA [-] 2.98 2.98 3.20 -0.222 3.84 1.33 0.975 0.754 0.845 0.996 0.865
ACCESS-ESM1-5_CCAM [-] 2.84 2.84 3.24 -0.403 3.47 1.35 0.966 0.780 0.826 0.980 0.866
ACCESS-ESM1-5_CMIP6 [-] 2.68 2.68 2.98 -0.293 2.77 0.651 0.971 0.761 0.958 0.999 0.890
CESM2_BARPA [-] 3.19 3.19 3.20 -0.0181 3.65 1.42 0.980 0.766 0.830 0.932 0.855
CESM2_CCAM [-] 2.84 2.84 3.24 -0.407 3.53 1.48 0.969 0.777 0.812 0.974 0.862
CESM2_CMIP6 [-] 3.16 3.16 3.05 0.106 3.47 1.58 0.981 0.726 0.821 0.987 0.848
CMCC-ESM2_BARPA [-] 2.90 2.90 3.20 -0.301 3.80 2.38 0.974 0.758 0.624 0.992 0.821
CMCC-ESM2_CCAM [-] 3.32 3.32 3.24 0.0807 3.51 2.22 0.974 0.777 0.650 0.985 0.833
CMCC-ESM2_CMIP6 [-] 3.08 3.08 3.05 0.0288 2.94 1.72 0.979 0.762 0.743 0.999 0.849
CNRM-ESM2-1_CCAM [-] 3.02 3.02 3.24 -0.223 3.72 2.03 0.975 0.765 0.710 0.960 0.835
CNRM-ESM2-1_CMIP6 [-] 2.50 2.50 2.82 -0.321 2.99 0.993 0.969 0.739 0.913 0.876 0.847
EC-Earth3_BARPA [-] 2.72 2.72 3.20 -0.480 3.58 1.63 0.964 0.771 0.785 0.974 0.853
EC-Earth3_CCAM [-] 2.82 2.82 3.24 -0.423 3.40 1.26 0.968 0.785 0.834 0.993 0.873
EC-Earth3_CMIP6 [-] 2.69 2.69 3.13 -0.432 3.58 1.24 0.954 0.742 0.825 0.824 0.817
ERA5_BARPA [-] 3.36 3.36 3.20 0.151 3.17 1.34 0.979 0.793 0.819 0.979 0.873
ERA5_CCAM [-] 3.17 3.17 3.24 -0.0716 3.61 1.79 0.975 0.772 0.756 0.948 0.845
MPI-ESM1-2-HR_BARPA [-] 3.10 3.10 3.20 -0.107 3.61 1.30 0.977 0.767 0.835 0.943 0.858
MPI-ESM1-2-HR_CMIP6 [-] 2.03 2.03 3.10 -1.06 3.48 1.33 0.909 0.740 0.835 0.974 0.840
NorESM2-MM_BARPA [-] 3.44 3.44 3.20 0.235 3.81 2.58 0.975 0.756 0.593 0.997 0.815
NorESM2-MM_CCAM [-] 3.41 3.41 3.24 0.165 3.69 1.36 0.980 0.767 0.807 0.998 0.864
NorESM2-MM_CMIP6 [-] 3.69 3.69 3.05 0.642 3.34 1.29 0.940 0.740 0.831 0.981 0.846
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 [-] 3.10
ACCESS-CM2_BARPA [-] 3.26 3.26 3.03 2.59 0.231 3.91 1.37 0.970 0.741 0.845 0.992 0.858
ACCESS-CM2_CCAM [-] 3.07 3.07 3.06 2.70 0.0118 3.41 1.94 0.975 0.774 0.705 0.995 0.845
ACCESS-CM2_CMIP6 [-] 2.94 2.94 2.91 0.0330 3.32 1.46 0.961 0.716 0.826 0.940 0.832
ACCESS-ESM1-5_BARPA [-] 2.87 2.87 3.03 2.69 -0.167 3.55 1.58 0.973 0.762 0.796 0.995 0.858
ACCESS-ESM1-5_CCAM [-] 2.85 2.85 3.06 2.67 -0.209 3.62 1.66 0.973 0.763 0.777 0.995 0.854
ACCESS-ESM1-5_CMIP6 [-] 2.55 2.55 2.90 -0.350 2.85 1.92 0.959 0.749 0.741 0.987 0.837
CESM2_BARPA [-] 3.14 3.15 3.03 2.59 0.113 3.47 1.61 0.972 0.767 0.784 0.985 0.855
CESM2_CCAM [-] 3.15 3.15 3.06 2.87 0.0921 3.85 1.78 0.973 0.750 0.732 0.965 0.834
CESM2_CMIP6 [-] 3.07 3.07 2.96 0.105 4.14 1.80 0.966 0.680 0.725 0.873 0.785
CMCC-ESM2_BARPA [-] 3.12 3.13 3.03 2.34 0.0922 4.05 1.79 0.971 0.734 0.754 0.958 0.830
CMCC-ESM2_CCAM [-] 3.44 3.44 3.06 3.06 0.382 3.63 1.91 0.962 0.761 0.731 0.991 0.841
CMCC-ESM2_CMIP6 [-] 3.01 3.01 2.96 0.0453 3.46 1.57 0.962 0.718 0.796 0.989 0.837
CNRM-ESM2-1_CCAM [-] 3.22 3.22 3.06 3.00 0.159 3.29 1.50 0.969 0.780 0.791 0.977 0.859
CNRM-ESM2-1_CMIP6 [-] 3.02 3.02 2.80 0.217 3.76 1.40 0.937 0.688 0.802 0.811 0.785
EC-Earth3_BARPA [-] 3.01 3.02 3.03 2.16 -0.0165 4.04 1.54 0.968 0.736 0.810 0.946 0.839
EC-Earth3_CCAM [-] 3.15 3.16 3.06 2.63 0.0992 3.56 1.58 0.969 0.764 0.773 0.990 0.852
EC-Earth3_CMIP6 [-] 2.79 2.79 2.90 -0.118 3.77 1.86 0.945 0.722 0.743 0.616 0.750
ERA5_BARPA [-] 3.24 3.24 3.03 2.62 0.207 3.39 1.63 0.973 0.772 0.766 0.996 0.856
ERA5_CCAM [-] 2.97 2.98 3.06 2.64 -0.0819 3.24 1.54 0.976 0.784 0.786 0.922 0.850
MPI-ESM1-2-HR_BARPA [-] 2.89 2.89 3.03 2.42 -0.143 3.55 1.45 0.972 0.762 0.799 0.989 0.857
MPI-ESM1-2-HR_CMIP6 [-] 2.57 2.57 2.88 -0.305 4.12 2.13 0.966 0.683 0.697 0.988 0.803
NorESM2-MM_BARPA [-] 3.27 3.27 3.03 2.74 0.236 3.62 1.64 0.967 0.757 0.783 0.994 0.852
NorESM2-MM_CCAM [-] 3.11 3.11 3.06 3.06 0.0539 3.64 1.65 0.977 0.761 0.780 0.981 0.852
NorESM2-MM_CMIP6 [-] 3.15 3.15 2.96 0.184 3.98 1.86 0.972 0.687 0.757 0.974 0.815
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 [-] 3.02
ACCESS-CM2_BARPA [-] 3.18 3.22 2.90 2.71 0.316 3.12 1.32 0.954 0.752 0.840 0.820 0.824
ACCESS-CM2_CCAM [-] 3.47 3.47 2.93 3.52 0.536 3.11 1.26 0.940 0.754 0.852 0.935 0.847
ACCESS-CM2_CMIP6 [-] 2.09 2.09 2.60 -0.506 2.75 0.790 0.939 0.710 0.949 0.894 0.841
ACCESS-ESM1-5_BARPA [-] 3.23 3.27 2.90 2.66 0.365 3.31 1.08 0.952 0.742 0.895 0.659 0.798
ACCESS-ESM1-5_CCAM [-] 3.72 3.73 2.93 3.57 0.798 3.20 1.08 0.922 0.752 0.872 0.972 0.854
ACCESS-ESM1-5_CMIP6 [-] 2.61 2.61 2.43 0.186 2.21 1.48 0.966 0.733 0.848 0.786 0.813
CESM2_BARPA [-] 3.16 3.17 2.90 3.01 0.268 2.95 1.19 0.956 0.761 0.871 0.907 0.851
CESM2_CCAM [-] 3.67 3.70 2.93 3.45 0.764 2.95 1.03 0.926 0.768 0.887 0.988 0.867
CESM2_CMIP6 [-] 2.40 2.40 2.51 -0.107 1.76 1.10 0.971 0.808 0.839 0.932 0.872
CMCC-ESM2_BARPA [-] 3.05 3.08 2.90 2.65 0.174 2.50 1.32 0.958 0.795 0.842 0.952 0.868
CMCC-ESM2_CCAM [-] 4.01 4.05 2.93 3.65 1.12 3.32 1.09 0.898 0.748 0.881 0.892 0.833
CMCC-ESM2_CMIP6 [-] 2.33 2.33 2.51 -0.183 1.79 0.331 0.973 0.805 0.979 0.946 0.901
CNRM-ESM2-1_CCAM [-] 4.06 4.06 2.93 3.98 1.13 3.12 1.31 0.896 0.756 0.840 0.860 0.822
CNRM-ESM2-1_CMIP6 [-] 2.40 2.40 2.37 0.0271 2.05 1.82 0.957 0.777 0.765 0.993 0.854
EC-Earth3_BARPA [-] 3.54 3.56 2.90 3.27 0.656 2.61 1.10 0.933 0.787 0.861 0.987 0.871
EC-Earth3_CCAM [-] 4.10 4.12 2.93 3.93 1.18 3.15 1.19 0.892 0.757 0.855 0.851 0.822
EC-Earth3_CMIP6 [-] 2.29 2.29 2.66 -0.367 1.95 0.992 0.952 0.820 0.872 0.882 0.869
ERA5_BARPA [-] 3.41 3.40 2.90 3.51 0.495 2.88 1.43 0.943 0.769 0.817 0.812 0.822
ERA5_CCAM [-] 3.93 3.97 2.93 3.55 1.03 3.30 1.31 0.906 0.748 0.841 0.848 0.818
MPI-ESM1-2-HR_BARPA [-] 3.29 3.29 2.90 3.28 0.388 2.42 0.922 0.952 0.803 0.900 0.850 0.861
MPI-ESM1-2-HR_CMIP6 [-] 1.60 1.60 2.62 -1.01 2.97 1.59 0.892 0.762 0.764 0.909 0.818
NorESM2-MM_BARPA [-] 3.19 3.21 2.90 2.88 0.311 2.87 1.18 0.955 0.770 0.873 0.886 0.851
NorESM2-MM_CCAM [-] 3.93 3.98 2.93 3.43 1.04 3.28 1.47 0.906 0.751 0.812 0.899 0.824
NorESM2-MM_CMIP6 [-] 2.53 2.53 2.51 0.0218 2.43 1.57 0.984 0.735 0.826 0.999 0.856

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 19:26:12 2024: ncatted -a missing_value,R99pTOT,d,, /g/data/xv83/users/bxn599/ACS/icclim_indices_acs/agcd/indices/none/none/AUS-r005/BOM/AGCD/historical/none/none/none/climdex/R99pTOT/v20240411/R99pTOT_AUS-r005_AGCD_historical_none_BOM_none_none_mon_19850101-20141231_masked.nc.tmp Wed Aug 28 14:01:02 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/R99pTOT/v20240411/R99pTOT_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/R99pTOT/v20240411/R99pTOT_AUS-r005_AGCD_historical_none_BOM_none_none_mon_19850101-20141231_masked_compressed.nc Wed Jun 05 08:53:24 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/R99pTOT/v20240411/R99pTOT_AUS-r005_AGCD_historical_none_BOM_none_none_mon_19850101-20141231.nc ./indices/none/none/AUS-r005/BOM/AGCD/historical/none/none/none/climdex/R99pTOT/v20240411/R99pTOT_AUS-r005_AGCD_historical_none_BOM_none_none_mon_19850101-20141231_masked.nc Wed May 15 14:02:22 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 /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19740101-19741231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19750101-19751231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19760101-19761231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19770101-19771231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19780101-19781231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19790101-19791231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19800101-19801231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19810101-19811231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19820101-19821231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19830101-19831231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19840101-19841231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19850101-19851231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19860101-19861231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19870101-19871231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19880101-19881231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19890101-19891231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19900101-19901231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19910101-19911231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19920101-19921231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19930101-19931231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19940101-19941231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19950101-19951231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19960101-19961231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19970101-19971231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19980101-19981231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_19990101-19991231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_20000101-20001231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_20010101-20011231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_20020101-20021231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_20030101-20031231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_20040101-20041231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_20050101-20051231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_20060101-20061231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_20070101-20071231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_20080101-20081231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_20090101-20091231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_20100101-20101231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_20110101-20111231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_20120101-20121231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_20130101-20131231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_20140101-20141231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_20150101-20151231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_20160101-20161231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_20170101-20171231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_20180101-20181231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_20190101-20191231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_20200101-20201231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_20210101-20211231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_20220101-20221231_daily.nc /g/data/xv83/agcd-csiro/precip/daily/precip-total_AGCD-CSIRO_r005_20230101-20231231_daily.nc --variable precip --drop_time_bounds R99pTOT /g/data/xv83/users/bxn599/ACS/icclim_indices_acs/agcd/indices/none/none/AUS-r005/BOM/AGCD/historical/none/none/none/climdex/R99pTOT/v20240411/R99pTOT_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:
R99pTOT

  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)