Mean State

Download Data
Period Mean (original grids) [W/m2]
Bias [W/m2]
RMSE [W/m2]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Interannual Variability Score [1]
Overall Score [1]
Benchmark [-] 212.
000 [-] 208. -3.93 17.3 1.16 0.744 0.464 0.887 0.884 0.689
001 [-] 208. -3.93 17.3 1.16 0.744 0.464 0.887 0.884 0.689
002 [-] 208. -3.93 17.3 1.16 0.744 0.464 0.887 0.884 0.689
003 [-] 208. -3.93 17.3 1.16 0.744 0.464 0.887 0.884 0.689
004 [-] 208. -3.93 17.3 1.16 0.744 0.464 0.887 0.884 0.689
005 [-] 208. -3.93 17.3 1.16 0.744 0.464 0.887 0.884 0.689
006 [-] 208. -3.93 17.3 1.16 0.744 0.464 0.887 0.884 0.689
007 [-] 208. -3.93 17.3 1.16 0.744 0.464 0.887 0.884 0.689
008 [-] 208. -3.93 17.3 1.16 0.744 0.464 0.887 0.884 0.689
009 [-] 208. -3.93 17.3 1.16 0.744 0.464 0.887 0.884 0.689
010 [-] 208. -3.93 17.3 1.16 0.744 0.464 0.887 0.884 0.689
011 [-] 208. -3.93 17.3 1.16 0.744 0.464 0.887 0.884 0.689
012 [-] 208. -3.93 17.3 1.16 0.744 0.464 0.887 0.884 0.689
Download Data
Period Mean (original grids) [W/m2]
Bias [W/m2]
RMSE [W/m2]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Interannual Variability Score [1]
Overall Score [1]
Benchmark [-] 241.
000 [-] 236. -5.43 15.3 0.750 0.751 0.534 0.923 0.829 0.714
001 [-] 236. -5.43 15.3 0.750 0.751 0.534 0.923 0.829 0.714
002 [-] 236. -5.43 15.3 0.750 0.751 0.534 0.923 0.829 0.714
003 [-] 236. -5.43 15.3 0.750 0.751 0.534 0.923 0.829 0.714
004 [-] 236. -5.43 15.3 0.750 0.751 0.534 0.923 0.829 0.714
005 [-] 236. -5.43 15.3 0.750 0.751 0.534 0.923 0.829 0.714
006 [-] 236. -5.43 15.3 0.750 0.751 0.534 0.923 0.829 0.714
007 [-] 236. -5.43 15.3 0.750 0.751 0.534 0.923 0.829 0.714
008 [-] 236. -5.43 15.3 0.750 0.751 0.534 0.923 0.829 0.714
009 [-] 236. -5.43 15.3 0.750 0.751 0.534 0.923 0.829 0.714
010 [-] 236. -5.43 15.3 0.750 0.751 0.534 0.923 0.829 0.714
011 [-] 236. -5.43 15.3 0.750 0.751 0.534 0.923 0.829 0.714
012 [-] 236. -5.43 15.3 0.750 0.751 0.534 0.923 0.829 0.714
Download Data
Period Mean (original grids) [W/m2]
Bias [W/m2]
RMSE [W/m2]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Interannual Variability Score [1]
Overall Score [1]
Benchmark [-] 233.
000 [-] 230. -2.43 16.4 0.606 0.911 0.556 0.952 0.838 0.763
001 [-] 230. -2.43 16.4 0.606 0.911 0.556 0.952 0.838 0.763
002 [-] 230. -2.43 16.4 0.606 0.911 0.556 0.952 0.838 0.763
003 [-] 230. -2.43 16.4 0.606 0.911 0.556 0.952 0.838 0.763
004 [-] 230. -2.43 16.4 0.606 0.911 0.556 0.952 0.838 0.763
005 [-] 230. -2.43 16.4 0.606 0.911 0.556 0.952 0.838 0.763
006 [-] 230. -2.43 16.4 0.606 0.911 0.556 0.952 0.838 0.763
007 [-] 230. -2.43 16.4 0.606 0.911 0.556 0.952 0.838 0.763
008 [-] 230. -2.43 16.4 0.606 0.911 0.556 0.952 0.838 0.763
009 [-] 230. -2.43 16.4 0.606 0.911 0.556 0.952 0.838 0.763
010 [-] 230. -2.43 16.4 0.606 0.911 0.556 0.952 0.838 0.763
011 [-] 230. -2.43 16.4 0.606 0.911 0.556 0.952 0.838 0.763
012 [-] 230. -2.43 16.4 0.606 0.911 0.556 0.952 0.838 0.763
Download Data
Period Mean (original grids) [W/m2]
Bias [W/m2]
RMSE [W/m2]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Interannual Variability Score [1]
Overall Score [1]
Benchmark [-] 117.
000 [-] 113. -4.64 21.5 0.762 0.951 0.795 0.949 0.961 0.890
001 [-] 113. -4.64 21.5 0.762 0.951 0.795 0.949 0.961 0.890
002 [-] 113. -4.64 21.5 0.762 0.951 0.795 0.949 0.961 0.890
003 [-] 113. -4.64 21.5 0.762 0.951 0.795 0.949 0.961 0.890
004 [-] 113. -4.64 21.5 0.762 0.951 0.795 0.949 0.961 0.890
005 [-] 113. -4.64 21.5 0.762 0.951 0.795 0.949 0.961 0.890
006 [-] 113. -4.64 21.5 0.762 0.951 0.795 0.949 0.961 0.890
007 [-] 113. -4.64 21.5 0.762 0.951 0.795 0.949 0.961 0.890
008 [-] 113. -4.64 21.5 0.762 0.951 0.795 0.949 0.961 0.890
009 [-] 113. -4.64 21.5 0.762 0.951 0.795 0.949 0.961 0.890
010 [-] 113. -4.64 21.5 0.762 0.951 0.795 0.949 0.961 0.890
011 [-] 113. -4.64 21.5 0.762 0.951 0.795 0.949 0.961 0.890
012 [-] 113. -4.64 21.5 0.762 0.951 0.795 0.949 0.961 0.890
Download Data
Period Mean (original grids) [W/m2]
Bias [W/m2]
RMSE [W/m2]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Interannual Variability Score [1]
Overall Score [1]
Benchmark [-] 209.
000 [-] 198. -10.8 17.7 2.53 0.468 0.368 0.592 0.954 0.550
001 [-] 198. -10.8 17.7 2.53 0.468 0.368 0.592 0.954 0.550
002 [-] 198. -10.8 17.7 2.53 0.468 0.368 0.592 0.954 0.550
003 [-] 198. -10.8 17.7 2.53 0.468 0.368 0.592 0.954 0.550
004 [-] 198. -10.8 17.7 2.53 0.468 0.368 0.592 0.954 0.550
005 [-] 198. -10.8 17.7 2.53 0.468 0.368 0.592 0.954 0.550
006 [-] 198. -10.8 17.7 2.53 0.468 0.368 0.592 0.954 0.550
007 [-] 198. -10.8 17.7 2.53 0.468 0.368 0.592 0.954 0.550
008 [-] 198. -10.8 17.7 2.53 0.468 0.368 0.592 0.954 0.550
009 [-] 198. -10.8 17.7 2.53 0.468 0.368 0.592 0.954 0.550
010 [-] 198. -10.8 17.7 2.53 0.468 0.368 0.592 0.954 0.550
011 [-] 198. -10.8 17.7 2.53 0.468 0.368 0.592 0.954 0.550
012 [-] 198. -10.8 17.7 2.53 0.468 0.368 0.592 0.954 0.550
Download Data
Period Mean (original grids) [W/m2]
Bias [W/m2]
RMSE [W/m2]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Interannual Variability Score [1]
Overall Score [1]
Benchmark [-] 124.
000 [-] 124. 0.182 14.7 0.339 0.963 0.834 0.968 0.977 0.915
001 [-] 124. 0.182 14.7 0.339 0.963 0.834 0.968 0.977 0.915
002 [-] 124. 0.182 14.7 0.339 0.963 0.834 0.968 0.977 0.915
003 [-] 124. 0.182 14.7 0.339 0.963 0.834 0.968 0.977 0.915
004 [-] 124. 0.182 14.7 0.339 0.963 0.834 0.968 0.977 0.915
005 [-] 124. 0.182 14.7 0.339 0.963 0.834 0.968 0.977 0.915
006 [-] 124. 0.182 14.7 0.339 0.963 0.834 0.968 0.977 0.915
007 [-] 124. 0.182 14.7 0.339 0.963 0.834 0.968 0.977 0.915
008 [-] 124. 0.182 14.7 0.339 0.963 0.834 0.968 0.977 0.915
009 [-] 124. 0.182 14.7 0.339 0.963 0.834 0.968 0.977 0.915
010 [-] 124. 0.182 14.7 0.339 0.963 0.834 0.968 0.977 0.915
011 [-] 124. 0.182 14.7 0.339 0.963 0.834 0.968 0.977 0.915
012 [-] 124. 0.182 14.7 0.339 0.963 0.834 0.968 0.977 0.915
Download Data
Period Mean (original grids) [W/m2]
Bias [W/m2]
RMSE [W/m2]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Interannual Variability Score [1]
Overall Score [1]
Benchmark [-] 176.
000 [-] 170. -6.40 17.4 0.436 0.884 0.796 0.968 0.928 0.875
001 [-] 170. -6.40 17.4 0.436 0.884 0.796 0.968 0.928 0.875
002 [-] 170. -6.40 17.4 0.436 0.884 0.796 0.968 0.928 0.875
003 [-] 170. -6.40 17.4 0.436 0.884 0.796 0.968 0.928 0.875
004 [-] 170. -6.40 17.4 0.436 0.884 0.796 0.968 0.928 0.875
005 [-] 170. -6.40 17.4 0.436 0.884 0.796 0.968 0.928 0.875
006 [-] 170. -6.40 17.4 0.436 0.884 0.796 0.968 0.928 0.875
007 [-] 170. -6.40 17.4 0.436 0.884 0.796 0.968 0.928 0.875
008 [-] 170. -6.40 17.4 0.436 0.884 0.796 0.968 0.928 0.875
009 [-] 170. -6.40 17.4 0.436 0.884 0.796 0.968 0.928 0.875
010 [-] 170. -6.40 17.4 0.436 0.884 0.796 0.968 0.928 0.875
011 [-] 170. -6.40 17.4 0.436 0.884 0.796 0.968 0.928 0.875
012 [-] 170. -6.40 17.4 0.436 0.884 0.796 0.968 0.928 0.875
Download Data
Period Mean (original grids) [W/m2]
Bias [W/m2]
RMSE [W/m2]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Interannual Variability Score [1]
Overall Score [1]
Benchmark [-] 212.
000 [-] 206. -6.05 18.5 0.370 0.863 0.654 0.976 0.897 0.809
001 [-] 206. -6.05 18.5 0.370 0.863 0.654 0.976 0.897 0.809
002 [-] 206. -6.05 18.5 0.370 0.863 0.654 0.976 0.897 0.809
003 [-] 206. -6.05 18.5 0.370 0.863 0.654 0.976 0.897 0.809
004 [-] 206. -6.05 18.5 0.370 0.863 0.654 0.976 0.897 0.809
005 [-] 206. -6.05 18.5 0.370 0.863 0.654 0.976 0.897 0.809
006 [-] 206. -6.05 18.5 0.370 0.863 0.654 0.976 0.897 0.809
007 [-] 206. -6.05 18.5 0.370 0.863 0.654 0.976 0.897 0.809
008 [-] 206. -6.05 18.5 0.370 0.863 0.654 0.976 0.897 0.809
009 [-] 206. -6.05 18.5 0.370 0.863 0.654 0.976 0.897 0.809
010 [-] 206. -6.05 18.5 0.370 0.863 0.654 0.976 0.897 0.809
011 [-] 206. -6.05 18.5 0.370 0.863 0.654 0.976 0.897 0.809
012 [-] 206. -6.05 18.5 0.370 0.863 0.654 0.976 0.897 0.809
Download Data
Period Mean (original grids) [W/m2]
Bias [W/m2]
RMSE [W/m2]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Interannual Variability Score [1]
Overall Score [1]
Benchmark [-] 108.
000 [-] 107. -0.651 16.9 0.00 0.990 0.821 1.00 0.992 0.925
001 [-] 107. -0.651 16.9 0.00 0.990 0.821 1.00 0.992 0.925
002 [-] 107. -0.651 16.9 0.00 0.990 0.821 1.00 0.992 0.925
003 [-] 107. -0.651 16.9 0.00 0.990 0.821 1.00 0.992 0.925
004 [-] 107. -0.651 16.9 0.00 0.990 0.821 1.00 0.992 0.925
005 [-] 107. -0.651 16.9 0.00 0.990 0.821 1.00 0.992 0.925
006 [-] 107. -0.651 16.9 0.00 0.990 0.821 1.00 0.992 0.925
007 [-] 107. -0.651 16.9 0.00 0.990 0.821 1.00 0.992 0.925
008 [-] 107. -0.651 16.9 0.00 0.990 0.821 1.00 0.992 0.925
009 [-] 107. -0.651 16.9 0.00 0.990 0.821 1.00 0.992 0.925
010 [-] 107. -0.651 16.9 0.00 0.990 0.821 1.00 0.992 0.925
011 [-] 107. -0.651 16.9 0.00 0.990 0.821 1.00 0.992 0.925
012 [-] 107. -0.651 16.9 0.00 0.990 0.821 1.00 0.992 0.925
Download Data
Period Mean (original grids) [W/m2]
Bias [W/m2]
RMSE [W/m2]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Interannual Variability Score [1]
Overall Score [1]
Benchmark [-] 249.
000 [-] 238. -10.9 18.8 0.550 0.829 0.763 0.963 0.917 0.847
001 [-] 238. -10.9 18.8 0.550 0.829 0.763 0.963 0.917 0.847
002 [-] 238. -10.9 18.8 0.550 0.829 0.763 0.963 0.917 0.847
003 [-] 238. -10.9 18.8 0.550 0.829 0.763 0.963 0.917 0.847
004 [-] 238. -10.9 18.8 0.550 0.829 0.763 0.963 0.917 0.847
005 [-] 238. -10.9 18.8 0.550 0.829 0.763 0.963 0.917 0.847
006 [-] 238. -10.9 18.8 0.550 0.829 0.763 0.963 0.917 0.847
007 [-] 238. -10.9 18.8 0.550 0.829 0.763 0.963 0.917 0.847
008 [-] 238. -10.9 18.8 0.550 0.829 0.763 0.963 0.917 0.847
009 [-] 238. -10.9 18.8 0.550 0.829 0.763 0.963 0.917 0.847
010 [-] 238. -10.9 18.8 0.550 0.829 0.763 0.963 0.917 0.847
011 [-] 238. -10.9 18.8 0.550 0.829 0.763 0.963 0.917 0.847
012 [-] 238. -10.9 18.8 0.550 0.829 0.763 0.963 0.917 0.847
Download Data
Period Mean (original grids) [W/m2]
Bias [W/m2]
RMSE [W/m2]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Interannual Variability Score [1]
Overall Score [1]
Benchmark [-] 132.
000 [-] 131. -1.40 14.3 0.226 0.942 0.842 0.985 0.939 0.910
001 [-] 131. -1.40 14.3 0.226 0.942 0.842 0.985 0.939 0.910
002 [-] 131. -1.40 14.3 0.226 0.942 0.842 0.985 0.939 0.910
003 [-] 131. -1.40 14.3 0.226 0.942 0.842 0.985 0.939 0.910
004 [-] 131. -1.40 14.3 0.226 0.942 0.842 0.985 0.939 0.910
005 [-] 131. -1.40 14.3 0.226 0.942 0.842 0.985 0.939 0.910
006 [-] 131. -1.40 14.3 0.226 0.942 0.842 0.985 0.939 0.910
007 [-] 131. -1.40 14.3 0.226 0.942 0.842 0.985 0.939 0.910
008 [-] 131. -1.40 14.3 0.226 0.942 0.842 0.985 0.939 0.910
009 [-] 131. -1.40 14.3 0.226 0.942 0.842 0.985 0.939 0.910
010 [-] 131. -1.40 14.3 0.226 0.942 0.842 0.985 0.939 0.910
011 [-] 131. -1.40 14.3 0.226 0.942 0.842 0.985 0.939 0.910
012 [-] 131. -1.40 14.3 0.226 0.942 0.842 0.985 0.939 0.910
Download Data
Period Mean (original grids) [W/m2]
Bias [W/m2]
RMSE [W/m2]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Interannual Variability Score [1]
Overall Score [1]
Benchmark [-] 191.
000 [-] 186. -5.31 16.6 0.515 0.862 0.728 0.951 0.917 0.837
001 [-] 186. -5.31 16.6 0.515 0.862 0.728 0.951 0.917 0.837
002 [-] 186. -5.31 16.6 0.515 0.862 0.728 0.951 0.917 0.837
003 [-] 186. -5.31 16.6 0.515 0.862 0.728 0.951 0.917 0.837
004 [-] 186. -5.31 16.6 0.515 0.862 0.728 0.951 0.917 0.837
005 [-] 186. -5.31 16.6 0.515 0.862 0.728 0.951 0.917 0.837
006 [-] 186. -5.31 16.6 0.515 0.862 0.728 0.951 0.917 0.837
007 [-] 186. -5.31 16.6 0.515 0.862 0.728 0.951 0.917 0.837
008 [-] 186. -5.31 16.6 0.515 0.862 0.728 0.951 0.917 0.837
009 [-] 186. -5.31 16.6 0.515 0.862 0.728 0.951 0.917 0.837
010 [-] 186. -5.31 16.6 0.515 0.862 0.728 0.951 0.917 0.837
011 [-] 186. -5.31 16.6 0.515 0.862 0.728 0.951 0.917 0.837
012 [-] 186. -5.31 16.6 0.515 0.862 0.728 0.951 0.917 0.837
Download Data
Period Mean (original grids) [W/m2]
Bias [W/m2]
RMSE [W/m2]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Interannual Variability Score [1]
Overall Score [1]
Benchmark [-] 253.
000 [-] 241. -12.0 18.2 0.558 0.782 0.759 0.952 0.886 0.828
001 [-] 241. -12.0 18.2 0.558 0.782 0.759 0.952 0.886 0.828
002 [-] 241. -12.0 18.2 0.558 0.782 0.759 0.952 0.886 0.828
003 [-] 241. -12.0 18.2 0.558 0.782 0.759 0.952 0.886 0.828
004 [-] 241. -12.0 18.2 0.558 0.782 0.759 0.952 0.886 0.828
005 [-] 241. -12.0 18.2 0.558 0.782 0.759 0.952 0.886 0.828
006 [-] 241. -12.0 18.2 0.558 0.782 0.759 0.952 0.886 0.828
007 [-] 241. -12.0 18.2 0.558 0.782 0.759 0.952 0.886 0.828
008 [-] 241. -12.0 18.2 0.558 0.782 0.759 0.952 0.886 0.828
009 [-] 241. -12.0 18.2 0.558 0.782 0.759 0.952 0.886 0.828
010 [-] 241. -12.0 18.2 0.558 0.782 0.759 0.952 0.886 0.828
011 [-] 241. -12.0 18.2 0.558 0.782 0.759 0.952 0.886 0.828
012 [-] 241. -12.0 18.2 0.558 0.782 0.759 0.952 0.886 0.828
Download Data
Period Mean (original grids) [W/m2]
Bias [W/m2]
RMSE [W/m2]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Interannual Variability Score [1]
Overall Score [1]
Benchmark [-] 135.
000 [-] 130. -5.16 17.2 0.254 0.936 0.809 0.983 0.936 0.895
001 [-] 130. -5.16 17.2 0.254 0.936 0.809 0.983 0.936 0.895
002 [-] 130. -5.16 17.2 0.254 0.936 0.809 0.983 0.936 0.895
003 [-] 130. -5.16 17.2 0.254 0.936 0.809 0.983 0.936 0.895
004 [-] 130. -5.16 17.2 0.254 0.936 0.809 0.983 0.936 0.895
005 [-] 130. -5.16 17.2 0.254 0.936 0.809 0.983 0.936 0.895
006 [-] 130. -5.16 17.2 0.254 0.936 0.809 0.983 0.936 0.895
007 [-] 130. -5.16 17.2 0.254 0.936 0.809 0.983 0.936 0.895
008 [-] 130. -5.16 17.2 0.254 0.936 0.809 0.983 0.936 0.895
009 [-] 130. -5.16 17.2 0.254 0.936 0.809 0.983 0.936 0.895
010 [-] 130. -5.16 17.2 0.254 0.936 0.809 0.983 0.936 0.895
011 [-] 130. -5.16 17.2 0.254 0.936 0.809 0.983 0.936 0.895
012 [-] 130. -5.16 17.2 0.254 0.936 0.809 0.983 0.936 0.895
Download Data
Period Mean (original grids) [W/m2]
Bias [W/m2]
RMSE [W/m2]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Interannual Variability Score [1]
Overall Score [1]
Benchmark [-] 237.
000 [-] 233. -3.29 13.8 0.254 0.937 0.719 0.983 0.947 0.861
001 [-] 233. -3.29 13.8 0.254 0.937 0.719 0.983 0.947 0.861
002 [-] 233. -3.29 13.8 0.254 0.937 0.719 0.983 0.947 0.861
003 [-] 233. -3.29 13.8 0.254 0.937 0.719 0.983 0.947 0.861
004 [-] 233. -3.29 13.8 0.254 0.937 0.719 0.983 0.947 0.861
005 [-] 233. -3.29 13.8 0.254 0.937 0.719 0.983 0.947 0.861
006 [-] 233. -3.29 13.8 0.254 0.937 0.719 0.983 0.947 0.861
007 [-] 233. -3.29 13.8 0.254 0.937 0.719 0.983 0.947 0.861
008 [-] 233. -3.29 13.8 0.254 0.937 0.719 0.983 0.947 0.861
009 [-] 233. -3.29 13.8 0.254 0.937 0.719 0.983 0.947 0.861
010 [-] 233. -3.29 13.8 0.254 0.937 0.719 0.983 0.947 0.861
011 [-] 233. -3.29 13.8 0.254 0.937 0.719 0.983 0.947 0.861
012 [-] 233. -3.29 13.8 0.254 0.937 0.719 0.983 0.947 0.861
Download Data
Period Mean (original grids) [W/m2]
Bias [W/m2]
RMSE [W/m2]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Interannual Variability Score [1]
Overall Score [1]
Benchmark [-] 174.
000 [-] 170. -3.66 15.1 0.254 0.947 0.813 0.983 0.922 0.895
001 [-] 170. -3.66 15.1 0.254 0.947 0.813 0.983 0.922 0.895
002 [-] 170. -3.66 15.1 0.254 0.947 0.813 0.983 0.922 0.895
003 [-] 170. -3.66 15.1 0.254 0.947 0.813 0.983 0.922 0.895
004 [-] 170. -3.66 15.1 0.254 0.947 0.813 0.983 0.922 0.895
005 [-] 170. -3.66 15.1 0.254 0.947 0.813 0.983 0.922 0.895
006 [-] 170. -3.66 15.1 0.254 0.947 0.813 0.983 0.922 0.895
007 [-] 170. -3.66 15.1 0.254 0.947 0.813 0.983 0.922 0.895
008 [-] 170. -3.66 15.1 0.254 0.947 0.813 0.983 0.922 0.895
009 [-] 170. -3.66 15.1 0.254 0.947 0.813 0.983 0.922 0.895
010 [-] 170. -3.66 15.1 0.254 0.947 0.813 0.983 0.922 0.895
011 [-] 170. -3.66 15.1 0.254 0.947 0.813 0.983 0.922 0.895
012 [-] 170. -3.66 15.1 0.254 0.947 0.813 0.983 0.922 0.895
Download Data
Period Mean (original grids) [W/m2]
Bias [W/m2]
RMSE [W/m2]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Interannual Variability Score [1]
Overall Score [1]
Benchmark [-] 137.
000 [-] 136. -1.63 14.6 0.391 0.958 0.835 0.974 0.962 0.913
001 [-] 136. -1.63 14.6 0.391 0.958 0.835 0.974 0.962 0.913
002 [-] 136. -1.63 14.6 0.391 0.958 0.835 0.974 0.962 0.913
003 [-] 136. -1.63 14.6 0.391 0.958 0.835 0.974 0.962 0.913
004 [-] 136. -1.63 14.6 0.391 0.958 0.835 0.974 0.962 0.913
005 [-] 136. -1.63 14.6 0.391 0.958 0.835 0.974 0.962 0.913
006 [-] 136. -1.63 14.6 0.391 0.958 0.835 0.974 0.962 0.913
007 [-] 136. -1.63 14.6 0.391 0.958 0.835 0.974 0.962 0.913
008 [-] 136. -1.63 14.6 0.391 0.958 0.835 0.974 0.962 0.913
009 [-] 136. -1.63 14.6 0.391 0.958 0.835 0.974 0.962 0.913
010 [-] 136. -1.63 14.6 0.391 0.958 0.835 0.974 0.962 0.913
011 [-] 136. -1.63 14.6 0.391 0.958 0.835 0.974 0.962 0.913
012 [-] 136. -1.63 14.6 0.391 0.958 0.835 0.974 0.962 0.913
Download Data
Period Mean (original grids) [W/m2]
Bias [W/m2]
RMSE [W/m2]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Interannual Variability Score [1]
Overall Score [1]
Benchmark [-] 192.
000 [-] 190. -2.47 12.7 0.00 0.968 0.853 1.00 0.965 0.928
001 [-] 190. -2.47 12.7 0.00 0.968 0.853 1.00 0.965 0.928
002 [-] 190. -2.47 12.7 0.00 0.968 0.853 1.00 0.965 0.928
003 [-] 190. -2.47 12.7 0.00 0.968 0.853 1.00 0.965 0.928
004 [-] 190. -2.47 12.7 0.00 0.968 0.853 1.00 0.965 0.928
005 [-] 190. -2.47 12.7 0.00 0.968 0.853 1.00 0.965 0.928
006 [-] 190. -2.47 12.7 0.00 0.968 0.853 1.00 0.965 0.928
007 [-] 190. -2.47 12.7 0.00 0.968 0.853 1.00 0.965 0.928
008 [-] 190. -2.47 12.7 0.00 0.968 0.853 1.00 0.965 0.928
009 [-] 190. -2.47 12.7 0.00 0.968 0.853 1.00 0.965 0.928
010 [-] 190. -2.47 12.7 0.00 0.968 0.853 1.00 0.965 0.928
011 [-] 190. -2.47 12.7 0.00 0.968 0.853 1.00 0.965 0.928
012 [-] 190. -2.47 12.7 0.00 0.968 0.853 1.00 0.965 0.928
Download Data
Period Mean (original grids) [W/m2]
Bias [W/m2]
RMSE [W/m2]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Interannual Variability Score [1]
Overall Score [1]
Benchmark [-] 207.
000 [-] 199. -8.35 16.5 0.655 0.665 0.490 0.914 0.910 0.694
001 [-] 199. -8.35 16.5 0.655 0.665 0.490 0.914 0.910 0.694
002 [-] 199. -8.35 16.5 0.655 0.665 0.490 0.914 0.910 0.694
003 [-] 199. -8.35 16.5 0.655 0.665 0.490 0.914 0.910 0.694
004 [-] 199. -8.35 16.5 0.655 0.665 0.490 0.914 0.910 0.694
005 [-] 199. -8.35 16.5 0.655 0.665 0.490 0.914 0.910 0.694
006 [-] 199. -8.35 16.5 0.655 0.665 0.490 0.914 0.910 0.694
007 [-] 199. -8.35 16.5 0.655 0.665 0.490 0.914 0.910 0.694
008 [-] 199. -8.35 16.5 0.655 0.665 0.490 0.914 0.910 0.694
009 [-] 199. -8.35 16.5 0.655 0.665 0.490 0.914 0.910 0.694
010 [-] 199. -8.35 16.5 0.655 0.665 0.490 0.914 0.910 0.694
011 [-] 199. -8.35 16.5 0.655 0.665 0.490 0.914 0.910 0.694
012 [-] 199. -8.35 16.5 0.655 0.665 0.490 0.914 0.910 0.694
Download Data
Period Mean (original grids) [W/m2]
Bias [W/m2]
RMSE [W/m2]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Interannual Variability Score [1]
Overall Score [1]
Benchmark [-] 217.
000 [-] 208. -8.97 19.8 1.42 0.758 0.616 0.787 0.834 0.722
001 [-] 208. -8.97 19.8 1.42 0.758 0.616 0.787 0.834 0.722
002 [-] 208. -8.97 19.8 1.42 0.758 0.616 0.787 0.834 0.722
003 [-] 208. -8.97 19.8 1.42 0.758 0.616 0.787 0.834 0.722
004 [-] 208. -8.97 19.8 1.42 0.758 0.616 0.787 0.834 0.722
005 [-] 208. -8.97 19.8 1.42 0.758 0.616 0.787 0.834 0.722
006 [-] 208. -8.97 19.8 1.42 0.758 0.616 0.787 0.834 0.722
007 [-] 208. -8.97 19.8 1.42 0.758 0.616 0.787 0.834 0.722
008 [-] 208. -8.97 19.8 1.42 0.758 0.616 0.787 0.834 0.722
009 [-] 208. -8.97 19.8 1.42 0.758 0.616 0.787 0.834 0.722
010 [-] 208. -8.97 19.8 1.42 0.758 0.616 0.787 0.834 0.722
011 [-] 208. -8.97 19.8 1.42 0.758 0.616 0.787 0.834 0.722
012 [-] 208. -8.97 19.8 1.42 0.758 0.616 0.787 0.834 0.722
Download Data
Period Mean (original grids) [W/m2]
Bias [W/m2]
RMSE [W/m2]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Interannual Variability Score [1]
Overall Score [1]
Benchmark [-] 228.
000 [-] 229. 0.625 16.6 0.342 0.789 0.662 0.977 0.950 0.808
001 [-] 229. 0.625 16.6 0.342 0.789 0.662 0.977 0.950 0.808
002 [-] 229. 0.625 16.6 0.342 0.789 0.662 0.977 0.950 0.808
003 [-] 229. 0.625 16.6 0.342 0.789 0.662 0.977 0.950 0.808
004 [-] 229. 0.625 16.6 0.342 0.789 0.662 0.977 0.950 0.808
005 [-] 229. 0.625 16.6 0.342 0.789 0.662 0.977 0.950 0.808
006 [-] 229. 0.625 16.6 0.342 0.789 0.662 0.977 0.950 0.808
007 [-] 229. 0.625 16.6 0.342 0.789 0.662 0.977 0.950 0.808
008 [-] 229. 0.625 16.6 0.342 0.789 0.662 0.977 0.950 0.808
009 [-] 229. 0.625 16.6 0.342 0.789 0.662 0.977 0.950 0.808
010 [-] 229. 0.625 16.6 0.342 0.789 0.662 0.977 0.950 0.808
011 [-] 229. 0.625 16.6 0.342 0.789 0.662 0.977 0.950 0.808
012 [-] 229. 0.625 16.6 0.342 0.789 0.662 0.977 0.950 0.808

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
Data not available
REGIONAL MEAN
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ANNUAL CYCLE
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MONTHLY ANOMALY
Data not available
ANNUAL CYCLE
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All Models

Benchmark
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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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005
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006
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007
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008
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009
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010
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011
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012
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Data Information

  Title:
derived CERES EBAF Radiation

  Source_file:
This product is generated from monthly 1 degree CERES EBAF Radiation observations

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

  Creation_date:
Thu May 8 23:22:55 PDT 2014

  Approach:
I simply read this variable (sfc_sw_down_all_mon: surface all-sky downward shortwave radiation) from original netcdf data file. 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 CERES EBAF 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-ceres.ncl