Mean State

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Period Mean (original grids) [Watt m-2]
Bias [Watt m-2]
RMSE [Watt m-2]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Interannual Variability Score [1]
Overall Score [1]
Benchmark [-] 116.
000 [-] 119. 2.90 19.0 0.831 0.674 0.418 0.946 0.691 0.629
001 [-] 118. 2.10 19.0 0.831 0.661 0.421 0.946 0.690 0.628
002 [-] 118. 1.42 19.0 0.831 0.650 0.425 0.946 0.685 0.626
003 [-] 110. -6.29 22.9 0.661 0.435 0.440 0.957 0.654 0.585
004 [-] 106. -10.2 25.3 0.661 0.321 0.444 0.957 0.645 0.562
005 [-] 106. -10.6 25.8 0.497 0.309 0.444 0.968 0.643 0.562
006 [-] 105. -11.1 26.4 0.497 0.295 0.442 0.968 0.644 0.558
007 [-] 119. 2.90 19.0 0.831 0.674 0.418 0.946 0.691 0.629
008 [-] 119. 2.89 19.0 0.831 0.674 0.418 0.946 0.690 0.629
009 [-] 119. 2.86 18.7 0.661 0.684 0.421 0.957 0.691 0.635
010 [-] 119. 2.79 18.8 0.831 0.679 0.418 0.946 0.695 0.631
011 [-] 119. 2.53 19.1 0.831 0.664 0.412 0.946 0.703 0.627
012 [-] 119. 2.39 19.2 0.831 0.655 0.411 0.946 0.710 0.626
Download Data
Period Mean (original grids) [Watt m-2]
Bias [Watt m-2]
RMSE [Watt m-2]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Interannual Variability Score [1]
Overall Score [1]
Benchmark [-] 99.8
000 [-] 106. 6.57 22.9 2.03 0.663 0.503 0.661 0.744 0.615
001 [-] 106. 6.64 23.0 2.36 0.660 0.500 0.589 0.742 0.598
002 [-] 107. 6.71 23.2 2.36 0.658 0.496 0.589 0.743 0.596
003 [-] 106. 6.12 23.5 2.36 0.641 0.491 0.589 0.741 0.591
004 [-] 104. 4.65 23.2 2.20 0.627 0.492 0.630 0.725 0.593
005 [-] 104. 4.20 23.0 2.03 0.627 0.495 0.672 0.717 0.601
006 [-] 103. 3.12 22.6 2.11 0.628 0.502 0.636 0.704 0.594
007 [-] 106. 6.55 22.9 1.94 0.663 0.503 0.666 0.742 0.616
008 [-] 106. 6.53 22.9 2.03 0.664 0.502 0.661 0.743 0.614
009 [-] 106. 5.99 22.4 1.85 0.691 0.496 0.673 0.751 0.621
010 [-] 106. 5.75 22.3 1.94 0.686 0.499 0.667 0.760 0.622
011 [-] 106. 6.37 22.8 1.60 0.665 0.498 0.739 0.774 0.635
012 [-] 106. 6.20 22.8 1.52 0.665 0.498 0.744 0.778 0.637
Download Data
Period Mean (original grids) [Watt m-2]
Bias [Watt m-2]
RMSE [Watt m-2]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Interannual Variability Score [1]
Overall Score [1]
Benchmark [-] 97.4
000 [-] 105. 7.94 21.8 1.69 0.703 0.556 0.749 0.729 0.659
001 [-] 106. 8.21 21.6 1.75 0.709 0.560 0.745 0.739 0.663
002 [-] 106. 8.48 21.6 1.68 0.710 0.561 0.750 0.744 0.665
003 [-] 105. 7.71 21.3 1.95 0.717 0.564 0.692 0.752 0.658
004 [-] 103. 5.89 20.9 1.96 0.722 0.570 0.692 0.747 0.660
005 [-] 103. 5.77 20.8 2.02 0.722 0.573 0.687 0.748 0.661
006 [-] 103. 5.59 20.9 2.02 0.718 0.573 0.687 0.742 0.659
007 [-] 105. 7.91 21.8 1.69 0.704 0.557 0.749 0.729 0.659
008 [-] 105. 7.99 21.9 1.69 0.703 0.555 0.749 0.729 0.658
009 [-] 106. 8.50 21.6 1.75 0.705 0.560 0.745 0.746 0.663
010 [-] 106. 8.39 21.7 1.68 0.710 0.556 0.750 0.744 0.663
011 [-] 106. 8.29 21.5 1.68 0.715 0.558 0.750 0.743 0.665
012 [-] 105. 7.76 21.2 2.02 0.730 0.561 0.687 0.745 0.657
Download Data
Period Mean (original grids) [Watt m-2]
Bias [Watt m-2]
RMSE [Watt m-2]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Interannual Variability Score [1]
Overall Score [1]
Benchmark [-] 42.2
000 [-] 39.1 -3.04 17.6 0.254 0.938 0.722 0.983 0.867 0.846
001 [-] 39.1 -3.04 17.6 0.254 0.938 0.722 0.983 0.867 0.846
002 [-] 39.1 -3.07 17.6 0.254 0.938 0.722 0.983 0.867 0.846
003 [-] 39.1 -3.10 17.5 0.254 0.938 0.723 0.983 0.868 0.847
004 [-] 38.8 -3.31 17.4 0.254 0.938 0.724 0.983 0.870 0.848
005 [-] 38.3 -3.84 17.4 0.254 0.929 0.725 0.983 0.873 0.847
006 [-] 37.7 -4.50 17.5 0.254 0.917 0.725 0.983 0.875 0.845
007 [-] 39.1 -3.03 17.6 0.254 0.938 0.722 0.983 0.867 0.846
008 [-] 39.1 -3.03 17.6 0.254 0.938 0.722 0.983 0.867 0.846
009 [-] 38.9 -3.26 17.5 0.254 0.938 0.723 0.983 0.869 0.847
010 [-] 39.3 -2.85 17.7 0.254 0.938 0.720 0.983 0.863 0.845
011 [-] 39.5 -2.63 17.9 0.254 0.937 0.718 0.983 0.859 0.843
012 [-] 39.6 -2.60 18.0 0.254 0.937 0.716 0.983 0.858 0.842
Download Data
Period Mean (original grids) [Watt m-2]
Bias [Watt m-2]
RMSE [Watt m-2]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Interannual Variability Score [1]
Overall Score [1]
Benchmark [-] 120.
000 [-] 120. 0.230 11.7 3.05 0.730 0.342 0.498 0.846 0.552
001 [-] 119. -0.816 11.7 3.05 0.730 0.343 0.498 0.840 0.551
002 [-] 118. -1.55 11.8 3.52 0.731 0.343 0.412 0.836 0.533
003 [-] 106. -13.6 17.6 3.52 0.288 0.348 0.412 0.769 0.433
004 [-] 106. -13.7 17.7 3.52 0.286 0.348 0.412 0.769 0.432
005 [-] 106. -13.8 17.7 3.52 0.282 0.348 0.412 0.768 0.432
006 [-] 106. -14.0 17.9 3.52 0.278 0.348 0.412 0.767 0.431
007 [-] 120. 0.262 11.7 3.05 0.732 0.342 0.498 0.846 0.552
008 [-] 120. 0.201 11.7 3.05 0.728 0.342 0.498 0.846 0.551
009 [-] 120. -0.111 11.7 3.05 0.733 0.341 0.498 0.847 0.552
010 [-] 120. 0.296 11.7 3.05 0.730 0.342 0.498 0.847 0.552
011 [-] 120. 0.593 11.8 3.05 0.729 0.342 0.498 0.846 0.551
012 [-] 120. 0.827 11.8 3.05 0.729 0.342 0.498 0.845 0.551
Download Data
Period Mean (original grids) [Watt m-2]
Bias [Watt m-2]
RMSE [Watt m-2]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Interannual Variability Score [1]
Overall Score [1]
Benchmark [-] 56.8
000 [-] 49.0 -7.73 20.4 0.367 0.855 0.712 0.976 0.828 0.816
001 [-] 49.0 -7.80 20.4 0.339 0.854 0.712 0.978 0.829 0.817
002 [-] 48.8 -7.95 20.4 0.339 0.852 0.714 0.978 0.830 0.817
003 [-] 48.3 -8.45 20.4 0.339 0.846 0.716 0.978 0.834 0.818
004 [-] 47.5 -9.31 20.5 0.367 0.839 0.719 0.976 0.841 0.819
005 [-] 46.0 -10.8 21.2 0.339 0.821 0.718 0.978 0.849 0.817
006 [-] 44.7 -12.1 22.0 0.339 0.803 0.716 0.978 0.855 0.813
007 [-] 49.0 -7.74 20.4 0.367 0.855 0.712 0.976 0.828 0.816
008 [-] 49.0 -7.73 20.4 0.367 0.855 0.712 0.976 0.828 0.816
009 [-] 48.9 -7.86 20.4 0.339 0.854 0.712 0.978 0.829 0.817
010 [-] 48.9 -7.89 20.4 0.367 0.854 0.711 0.976 0.828 0.816
011 [-] 48.7 -8.05 20.5 0.395 0.851 0.711 0.974 0.828 0.815
012 [-] 48.5 -8.23 20.6 0.367 0.848 0.710 0.976 0.828 0.815
Download Data
Period Mean (original grids) [Watt m-2]
Bias [Watt m-2]
RMSE [Watt m-2]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Interannual Variability Score [1]
Overall Score [1]
Benchmark [-] 60.8
000 [-] 59.8 -0.960 20.7 0.654 0.833 0.642 0.934 0.819 0.774
001 [-] 59.8 -0.971 20.7 0.654 0.834 0.641 0.934 0.818 0.774
002 [-] 59.8 -1.02 20.7 0.654 0.834 0.641 0.934 0.818 0.774
003 [-] 59.7 -1.13 20.7 0.654 0.836 0.641 0.934 0.818 0.774
004 [-] 59.4 -1.41 20.7 0.654 0.834 0.641 0.934 0.817 0.773
005 [-] 59.2 -1.62 20.7 0.678 0.836 0.641 0.930 0.816 0.773
006 [-] 58.8 -2.01 20.8 0.678 0.830 0.642 0.930 0.816 0.772
007 [-] 59.8 -0.974 20.7 0.654 0.833 0.642 0.934 0.819 0.774
008 [-] 59.8 -0.966 20.7 0.654 0.833 0.642 0.934 0.819 0.774
009 [-] 60.0 -0.829 20.7 0.654 0.829 0.642 0.934 0.819 0.773
010 [-] 59.7 -1.08 20.6 0.654 0.831 0.643 0.934 0.821 0.774
011 [-] 59.5 -1.28 20.6 0.678 0.832 0.644 0.930 0.822 0.774
012 [-] 59.3 -1.45 20.6 0.678 0.831 0.644 0.930 0.822 0.774
Download Data
Period Mean (original grids) [Watt m-2]
Bias [Watt m-2]
RMSE [Watt m-2]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Interannual Variability Score [1]
Overall Score [1]
Benchmark [-] 79.0
000 [-] 94.5 15.5 24.4 1.20 0.626 0.575 0.821 0.862 0.692
001 [-] 94.2 15.2 24.2 1.20 0.634 0.576 0.821 0.858 0.693
002 [-] 93.8 14.8 24.0 1.20 0.643 0.577 0.821 0.854 0.694
003 [-] 90.8 11.8 22.8 1.11 0.670 0.579 0.827 0.828 0.697
004 [-] 89.9 10.9 22.4 1.11 0.690 0.582 0.827 0.822 0.701
005 [-] 89.8 10.8 22.2 1.11 0.689 0.585 0.827 0.824 0.702
006 [-] 89.2 10.2 21.8 1.11 0.692 0.588 0.827 0.824 0.704
007 [-] 94.4 15.4 24.4 1.20 0.627 0.575 0.821 0.862 0.692
008 [-] 94.5 15.5 24.5 1.20 0.625 0.574 0.821 0.862 0.691
009 [-] 94.4 15.4 24.3 1.20 0.625 0.577 0.821 0.865 0.693
010 [-] 94.3 15.3 24.3 1.20 0.624 0.574 0.821 0.870 0.693
011 [-] 94.2 15.2 24.3 1.20 0.625 0.573 0.821 0.873 0.693
012 [-] 94.2 15.2 24.3 1.20 0.624 0.572 0.821 0.874 0.693
Download Data
Period Mean (original grids) [Watt m-2]
Bias [Watt m-2]
RMSE [Watt m-2]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Interannual Variability Score [1]
Overall Score [1]
Benchmark [-] 50.5
000 [-] 37.9 -12.5 23.0 1.02 0.809 0.736 0.933 0.946 0.832
001 [-] 37.8 -12.6 23.0 1.02 0.808 0.736 0.933 0.948 0.832
002 [-] 37.6 -12.8 23.0 1.02 0.805 0.736 0.933 0.946 0.831
003 [-] 37.3 -13.1 23.1 1.02 0.801 0.736 0.933 0.943 0.830
004 [-] 36.8 -13.6 23.3 1.02 0.793 0.737 0.933 0.940 0.828
005 [-] 36.1 -14.4 23.8 0.508 0.782 0.735 0.966 0.937 0.831
006 [-] 35.3 -15.1 24.2 0.00 0.771 0.735 1.00 0.933 0.835
007 [-] 37.9 -12.5 23.0 1.02 0.809 0.736 0.933 0.946 0.832
008 [-] 37.9 -12.5 22.9 1.02 0.809 0.736 0.933 0.946 0.832
009 [-] 38.1 -12.3 22.9 1.02 0.812 0.734 0.933 0.943 0.831
010 [-] 38.5 -12.0 22.8 0.508 0.817 0.732 0.966 0.939 0.837
011 [-] 38.7 -11.8 22.7 0.508 0.819 0.731 0.966 0.937 0.837
012 [-] 38.8 -11.7 22.7 0.508 0.820 0.729 0.966 0.936 0.836
Download Data
Period Mean (original grids) [Watt m-2]
Bias [Watt m-2]
RMSE [Watt m-2]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Interannual Variability Score [1]
Overall Score [1]
Benchmark [-] 70.7
000 [-] 91.9 21.1 27.8 0.704 0.564 0.616 0.945 0.813 0.711
001 [-] 92.3 21.6 28.1 0.704 0.556 0.614 0.945 0.813 0.708
002 [-] 92.4 21.7 28.1 0.704 0.554 0.616 0.945 0.814 0.709
003 [-] 91.9 21.2 27.6 0.704 0.563 0.619 0.945 0.817 0.712
004 [-] 92.2 21.5 28.1 0.704 0.558 0.616 0.945 0.816 0.710
005 [-] 92.0 21.3 27.9 0.704 0.561 0.616 0.945 0.820 0.711
006 [-] 91.2 20.4 27.1 0.704 0.573 0.619 0.945 0.815 0.714
007 [-] 91.8 21.1 27.7 0.704 0.564 0.616 0.945 0.814 0.711
008 [-] 91.9 21.2 27.8 0.704 0.563 0.616 0.945 0.813 0.710
009 [-] 91.1 20.4 27.0 0.624 0.577 0.621 0.950 0.826 0.719
010 [-] 91.1 20.3 26.9 0.624 0.577 0.624 0.950 0.828 0.721
011 [-] 91.4 20.6 27.1 0.624 0.572 0.625 0.950 0.832 0.721
012 [-] 91.2 20.5 26.9 0.624 0.574 0.626 0.950 0.836 0.722
Download Data
Period Mean (original grids) [Watt m-2]
Bias [Watt m-2]
RMSE [Watt m-2]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Interannual Variability Score [1]
Overall Score [1]
Benchmark [-] 58.6
000 [-] 54.6 -4.03 18.8 0.452 0.872 0.747 0.970 0.880 0.843
001 [-] 54.4 -4.24 18.7 0.452 0.870 0.748 0.970 0.882 0.844
002 [-] 54.2 -4.45 18.8 0.339 0.868 0.748 0.978 0.885 0.845
003 [-] 53.9 -4.69 18.7 0.339 0.865 0.749 0.978 0.889 0.846
004 [-] 53.4 -5.25 18.7 0.339 0.858 0.752 0.978 0.897 0.847
005 [-] 52.0 -6.59 18.8 0.339 0.842 0.755 0.978 0.914 0.849
006 [-] 50.7 -7.91 19.1 0.452 0.833 0.756 0.970 0.927 0.849
007 [-] 54.6 -4.05 18.9 0.452 0.872 0.746 0.970 0.880 0.843
008 [-] 54.6 -4.05 18.8 0.452 0.872 0.747 0.970 0.880 0.843
009 [-] 54.5 -4.12 19.0 0.339 0.866 0.746 0.978 0.882 0.843
010 [-] 54.6 -4.00 18.8 0.452 0.873 0.747 0.970 0.880 0.843
011 [-] 54.7 -3.93 18.8 0.452 0.873 0.747 0.970 0.879 0.843
012 [-] 54.6 -3.99 18.8 0.452 0.872 0.746 0.970 0.880 0.843
Download Data
Period Mean (original grids) [Watt m-2]
Bias [Watt m-2]
RMSE [Watt m-2]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Interannual Variability Score [1]
Overall Score [1]
Benchmark [-] 73.9
000 [-] 73.8 -0.0510 21.6 0.862 0.715 0.615 0.896 0.829 0.734
001 [-] 73.7 -0.150 21.7 0.882 0.713 0.616 0.893 0.829 0.733
002 [-] 73.6 -0.259 21.7 0.873 0.711 0.616 0.893 0.830 0.733
003 [-] 72.1 -1.72 22.4 0.881 0.690 0.617 0.890 0.826 0.728
004 [-] 71.4 -2.51 22.6 0.886 0.682 0.618 0.890 0.826 0.727
005 [-] 70.7 -3.17 23.0 0.869 0.673 0.618 0.892 0.828 0.726
006 [-] 69.9 -3.95 23.2 0.865 0.665 0.618 0.893 0.829 0.725
007 [-] 73.8 -0.0686 21.6 0.858 0.715 0.615 0.897 0.829 0.734
008 [-] 73.8 -0.0330 21.6 0.862 0.715 0.615 0.896 0.829 0.734
009 [-] 73.8 -0.0392 21.6 0.837 0.716 0.615 0.898 0.831 0.735
010 [-] 73.8 -0.0844 21.5 0.845 0.718 0.615 0.898 0.832 0.736
011 [-] 73.7 -0.117 21.5 0.837 0.717 0.616 0.901 0.834 0.737
012 [-] 73.6 -0.237 21.5 0.845 0.717 0.616 0.897 0.835 0.736
Download Data
Period Mean (original grids) [Watt m-2]
Bias [Watt m-2]
RMSE [Watt m-2]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Interannual Variability Score [1]
Overall Score [1]
Benchmark [-] 32.3
000 [-] 48.3 16.0 27.2 0.987 0.515 0.482 0.877 0.834 0.638
001 [-] 48.3 16.0 27.2 0.987 0.515 0.482 0.877 0.834 0.638
002 [-] 48.3 16.0 27.2 0.987 0.515 0.482 0.877 0.834 0.638
003 [-] 48.3 16.0 27.2 1.02 0.514 0.482 0.875 0.833 0.637
004 [-] 48.4 16.1 27.4 1.02 0.512 0.480 0.875 0.832 0.636
005 [-] 48.4 16.1 27.5 0.987 0.512 0.479 0.877 0.831 0.635
006 [-] 48.1 15.9 27.3 1.02 0.516 0.479 0.875 0.837 0.637
007 [-] 48.2 16.0 27.2 0.987 0.515 0.482 0.877 0.834 0.638
008 [-] 48.3 16.1 27.2 0.987 0.515 0.482 0.877 0.833 0.638
009 [-] 48.6 16.3 27.6 0.987 0.510 0.478 0.877 0.829 0.634
010 [-] 48.4 16.2 27.3 0.987 0.513 0.480 0.877 0.830 0.636
011 [-] 48.3 16.0 27.2 1.02 0.515 0.482 0.875 0.832 0.637
012 [-] 48.2 16.0 27.1 0.987 0.516 0.483 0.877 0.833 0.638
Download Data
Period Mean (original grids) [Watt m-2]
Bias [Watt m-2]
RMSE [Watt m-2]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Interannual Variability Score [1]
Overall Score [1]
Benchmark [-] 70.6
000 [-] 49.5 -21.1 26.1 0.254 0.668 0.747 0.983 0.858 0.801
001 [-] 49.5 -21.2 26.1 0.254 0.668 0.747 0.983 0.858 0.801
002 [-] 49.5 -21.2 26.1 0.254 0.668 0.749 0.983 0.858 0.802
003 [-] 49.4 -21.3 26.1 0.254 0.667 0.750 0.983 0.858 0.802
004 [-] 49.0 -21.6 26.5 0.254 0.662 0.748 0.983 0.856 0.799
005 [-] 47.7 -22.9 27.8 0.254 0.646 0.742 0.983 0.859 0.794
006 [-] 46.2 -24.4 29.3 0.254 0.628 0.735 0.983 0.862 0.789
007 [-] 49.5 -21.1 26.1 0.254 0.668 0.747 0.983 0.858 0.801
008 [-] 49.5 -21.1 26.2 0.254 0.668 0.747 0.983 0.858 0.800
009 [-] 49.4 -21.2 26.1 0.254 0.668 0.748 0.983 0.859 0.801
010 [-] 49.9 -20.7 25.9 0.254 0.674 0.745 0.983 0.854 0.800
011 [-] 50.2 -20.5 25.8 0.254 0.677 0.742 0.983 0.851 0.799
012 [-] 50.4 -20.2 25.7 0.254 0.680 0.740 0.983 0.847 0.798
Download Data
Period Mean (original grids) [Watt m-2]
Bias [Watt m-2]
RMSE [Watt m-2]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Interannual Variability Score [1]
Overall Score [1]
Benchmark [-] 119.
000 [-] 104. -15.3 20.8 1.79 0.671 0.668 0.776 0.878 0.732
001 [-] 104. -15.1 20.9 1.79 0.678 0.667 0.776 0.885 0.735
002 [-] 104. -15.1 20.9 1.79 0.680 0.668 0.776 0.889 0.736
003 [-] 100. -19.3 24.0 1.79 0.591 0.674 0.776 0.880 0.719
004 [-] 99.9 -19.4 24.1 2.30 0.590 0.672 0.667 0.878 0.696
005 [-] 99.7 -19.6 24.5 2.30 0.587 0.664 0.667 0.875 0.692
006 [-] 99.6 -19.8 24.7 2.30 0.584 0.665 0.667 0.876 0.691
007 [-] 104. -15.3 20.8 1.79 0.670 0.669 0.776 0.879 0.733
008 [-] 104. -15.3 20.8 1.79 0.671 0.668 0.776 0.878 0.732
009 [-] 104. -15.2 20.9 1.79 0.678 0.665 0.776 0.873 0.732
010 [-] 104. -15.3 20.9 1.79 0.673 0.666 0.776 0.875 0.731
011 [-] 104. -15.4 20.9 1.79 0.668 0.669 0.776 0.876 0.732
012 [-] 104. -15.4 20.8 1.79 0.667 0.669 0.776 0.876 0.731
Download Data
Period Mean (original grids) [Watt m-2]
Bias [Watt m-2]
RMSE [Watt m-2]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Interannual Variability Score [1]
Overall Score [1]
Benchmark [-] 93.2
000 [-] 80.2 -13.0 19.1 0.508 0.774 0.778 0.966 0.916 0.842
001 [-] 80.2 -13.0 19.0 0.508 0.778 0.778 0.966 0.916 0.843
002 [-] 80.3 -13.0 19.0 0.381 0.779 0.779 0.975 0.916 0.845
003 [-] 80.0 -13.3 18.9 0.381 0.773 0.783 0.975 0.920 0.847
004 [-] 78.8 -14.5 19.4 0.381 0.752 0.787 0.975 0.931 0.846
005 [-] 76.9 -16.3 20.8 0.381 0.726 0.785 0.975 0.937 0.841
006 [-] 75.0 -18.3 22.2 0.381 0.694 0.788 0.975 0.945 0.838
007 [-] 80.2 -13.0 19.0 0.508 0.775 0.778 0.966 0.917 0.843
008 [-] 80.2 -13.0 19.0 0.508 0.775 0.778 0.966 0.917 0.843
009 [-] 80.5 -12.7 18.6 0.381 0.781 0.783 0.975 0.922 0.849
010 [-] 80.1 -13.1 19.0 0.508 0.775 0.783 0.966 0.920 0.845
011 [-] 79.9 -13.3 19.3 0.508 0.771 0.777 0.966 0.917 0.842
012 [-] 79.9 -13.3 19.4 0.508 0.771 0.774 0.966 0.913 0.840
Download Data
Period Mean (original grids) [Watt m-2]
Bias [Watt m-2]
RMSE [Watt m-2]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Interannual Variability Score [1]
Overall Score [1]
Benchmark [-] 70.6
000 [-] 58.2 -12.4 20.3 0.235 0.795 0.746 0.984 0.843 0.823
001 [-] 58.1 -12.5 20.4 0.235 0.792 0.747 0.984 0.844 0.823
002 [-] 57.9 -12.7 20.4 0.235 0.789 0.748 0.984 0.846 0.823
003 [-] 57.3 -13.3 20.6 0.235 0.781 0.750 0.984 0.851 0.824
004 [-] 56.3 -14.3 21.2 0.235 0.766 0.751 0.984 0.858 0.822
005 [-] 53.7 -16.9 23.4 0.235 0.730 0.743 0.984 0.864 0.813
006 [-] 52.1 -18.5 24.6 0.235 0.708 0.742 0.984 0.871 0.809
007 [-] 58.2 -12.4 20.3 0.235 0.795 0.746 0.984 0.843 0.823
008 [-] 58.2 -12.4 20.3 0.235 0.795 0.746 0.984 0.843 0.823
009 [-] 58.5 -12.1 20.2 0.235 0.799 0.746 0.984 0.844 0.824
010 [-] 58.5 -12.1 20.3 0.235 0.799 0.744 0.984 0.841 0.823
011 [-] 58.4 -12.2 20.4 0.235 0.798 0.743 0.984 0.839 0.822
012 [-] 58.3 -12.3 20.5 0.235 0.796 0.743 0.984 0.839 0.821
Download Data
Period Mean (original grids) [Watt m-2]
Bias [Watt m-2]
RMSE [Watt m-2]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Interannual Variability Score [1]
Overall Score [1]
Benchmark [-] 75.5
000 [-] 66.2 -9.23 22.5 0.381 0.741 0.682 0.975 0.809 0.778
001 [-] 66.3 -9.20 22.5 0.381 0.742 0.681 0.975 0.808 0.777
002 [-] 66.3 -9.13 22.5 0.381 0.743 0.681 0.975 0.807 0.777
003 [-] 66.2 -9.29 22.5 0.381 0.740 0.681 0.975 0.808 0.777
004 [-] 66.3 -9.19 22.7 0.381 0.742 0.678 0.975 0.804 0.775
005 [-] 66.3 -9.14 22.7 0.381 0.742 0.677 0.975 0.803 0.775
006 [-] 66.0 -9.51 22.5 0.254 0.731 0.682 0.983 0.811 0.778
007 [-] 66.2 -9.29 22.6 0.381 0.740 0.681 0.975 0.809 0.777
008 [-] 66.3 -9.17 22.5 0.381 0.742 0.681 0.975 0.808 0.777
009 [-] 66.1 -9.32 22.4 0.381 0.738 0.684 0.975 0.812 0.779
010 [-] 66.0 -9.47 22.5 0.381 0.738 0.684 0.975 0.812 0.779
011 [-] 65.8 -9.68 22.7 0.381 0.736 0.684 0.975 0.813 0.778
012 [-] 65.6 -9.87 22.8 0.381 0.733 0.684 0.975 0.813 0.778
Download Data
Period Mean (original grids) [Watt m-2]
Bias [Watt m-2]
RMSE [Watt m-2]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Interannual Variability Score [1]
Overall Score [1]
Benchmark [-] 135.
000 [-] 124. -11.2 17.4 1.74 0.387 0.415 0.748 0.847 0.562
001 [-] 123. -12.8 18.3 1.74 0.350 0.419 0.748 0.847 0.556
002 [-] 122. -13.6 18.9 1.74 0.333 0.420 0.748 0.836 0.551
003 [-] 110. -25.5 29.3 1.67 0.157 0.413 0.761 0.777 0.504
004 [-] 109. -26.1 29.2 1.67 0.184 0.411 0.761 0.776 0.509
005 [-] 109. -26.4 29.3 1.67 0.184 0.411 0.761 0.778 0.509
006 [-] 109. -26.8 29.6 1.52 0.175 0.412 0.797 0.772 0.513
007 [-] 124. -11.3 17.4 1.74 0.386 0.415 0.748 0.846 0.562
008 [-] 124. -11.2 17.4 1.74 0.387 0.414 0.748 0.847 0.562
009 [-] 124. -11.5 17.6 1.74 0.382 0.412 0.748 0.850 0.561
010 [-] 124. -11.1 17.3 1.60 0.392 0.415 0.774 0.850 0.569
011 [-] 125. -10.8 17.0 1.60 0.398 0.418 0.774 0.854 0.572
012 [-] 125. -10.7 17.0 1.67 0.401 0.420 0.761 0.852 0.571
Download Data
Period Mean (original grids) [Watt m-2]
Bias [Watt m-2]
RMSE [Watt m-2]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Interannual Variability Score [1]
Overall Score [1]
Benchmark [-] 114.
000 [-] 108. -6.72 16.4 0.817 0.817 0.627 0.923 0.895 0.778
001 [-] 108. -6.63 16.3 0.920 0.819 0.630 0.916 0.893 0.777
002 [-] 108. -6.55 16.2 0.920 0.823 0.632 0.916 0.903 0.781
003 [-] 107. -7.35 16.1 0.920 0.793 0.642 0.916 0.917 0.782
004 [-] 103. -11.3 18.1 0.920 0.707 0.648 0.916 0.915 0.767
005 [-] 102. -12.2 18.7 0.920 0.687 0.644 0.916 0.910 0.760
006 [-] 101. -13.6 19.8 0.920 0.658 0.640 0.916 0.897 0.750
007 [-] 108. -6.80 16.3 0.817 0.815 0.628 0.923 0.895 0.778
008 [-] 108. -6.63 16.3 0.817 0.820 0.627 0.923 0.895 0.778
009 [-] 108. -6.62 16.5 0.817 0.824 0.624 0.923 0.888 0.776
010 [-] 108. -6.20 16.1 0.920 0.838 0.630 0.916 0.902 0.783
011 [-] 108. -5.88 15.7 0.817 0.845 0.636 0.923 0.912 0.790
012 [-] 108. -5.98 15.4 0.713 0.843 0.642 0.929 0.919 0.795
Download Data
Period Mean (original grids) [Watt m-2]
Bias [Watt m-2]
RMSE [Watt m-2]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Interannual Variability Score [1]
Overall Score [1]
Benchmark [-] 104.
000 [-] 92.5 -11.3 17.9 0.508 0.683 0.693 0.966 0.948 0.797
001 [-] 92.6 -11.2 18.2 0.508 0.693 0.690 0.966 0.948 0.797
002 [-] 92.3 -11.5 18.3 0.508 0.685 0.690 0.966 0.949 0.796
003 [-] 90.6 -13.1 19.8 0.508 0.675 0.689 0.966 0.949 0.794
004 [-] 90.2 -13.6 20.0 0.508 0.662 0.691 0.966 0.953 0.793
005 [-] 88.5 -15.2 21.1 0.508 0.611 0.694 0.966 0.954 0.784
006 [-] 88.0 -15.7 21.4 0.508 0.602 0.696 0.966 0.956 0.783
007 [-] 92.5 -11.3 17.9 0.508 0.683 0.693 0.966 0.947 0.796
008 [-] 92.5 -11.3 17.9 0.508 0.682 0.693 0.966 0.948 0.796
009 [-] 92.5 -11.3 18.3 0.508 0.692 0.689 0.966 0.946 0.796
010 [-] 92.4 -11.3 18.1 0.508 0.688 0.692 0.966 0.948 0.797
011 [-] 92.2 -11.5 18.0 0.508 0.680 0.694 0.966 0.950 0.797
012 [-] 92.1 -11.6 18.0 0.508 0.677 0.695 0.966 0.951 0.797

Temporally integrated period mean

BENCHMARK MEAN
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MODEL MEAN
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BIAS
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BIAS SCORE
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RMSE
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RMSE SCORE
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BENCHMARK INTERANNUAL VARIABILITY
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MODEL INTERANNUAL VARIABILITY
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INTERANNUAL VARIABILITY SCORE
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BENCHMARK MAX MONTH
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MODEL MAX MONTH
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DIFFERENCE IN MAX MONTH
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SEASONAL CYCLE SCORE
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Spatially integrated regional mean

MODEL COLORS
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REGIONAL MEAN
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ANNUAL CYCLE
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MONTHLY ANOMALY
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ANNUAL CYCLE
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All Models

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000
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001
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002
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003
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004
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008
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010
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011
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012
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Data Information

  Title:
derived GEWEX SRB Radiation

  Source_file:
This product is generated from monthly 1 degree GEWEX SRB Radiation observations

  Conventions:
Please contact Prof. James Randerson (Email: jranders@uci.edu) or Dr. Mingquan Mu (mmu@uci.edu) for any question

  Creation_date:
Tue Jul 1 08:16:58 PDT 2014

  Approach:
To obtain surface net radiation from GEWEX SRB radiation data, first I subtracted surface all-sky upward shortwave (sw_sfc_up) from surface all-sky downward shortwave (sw_sfc_dn) to get surface net shortwave radiation(rsns). Using the same way, I also got surface net longwave radiation (rlns = lw_sfc_dn-lw_sfc_up). Then, I added rsns and rlns to get surface net radiation (rns). Meanwhile, the data were also binned from original 1.0x1.0 resolution to final 0.5x0.5 resolution.

  Temporal resolution:
monthly

  General information:
This product was derived from NASA GEWEX SRB radiation dataset.

  Spatial resolution:
0.5x0.5 degree

  Derived data code:
http://redwood.ess.uci.edu/mingquan/www/ILAMB/Download/CODES/CODES/subroutines/convert/convert-radiation-gewex.srb.ncl