Mean State

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 [-] 398.
000 [-] 399. 0.893 5.82 2.03 0.824 0.499 0.696 0.930 0.690
001 [-] 399. 0.893 5.82 2.03 0.824 0.499 0.696 0.930 0.690
002 [-] 399. 0.893 5.82 2.03 0.824 0.499 0.696 0.930 0.690
003 [-] 399. 0.893 5.82 2.03 0.824 0.499 0.696 0.930 0.690
004 [-] 399. 0.893 5.82 2.03 0.824 0.499 0.696 0.930 0.690
005 [-] 399. 0.893 5.82 2.03 0.824 0.499 0.696 0.930 0.690
006 [-] 399. 0.893 5.82 2.03 0.824 0.499 0.696 0.930 0.690
007 [-] 399. 0.893 5.82 2.03 0.824 0.499 0.696 0.930 0.690
008 [-] 399. 0.893 5.82 2.03 0.824 0.499 0.696 0.930 0.690
009 [-] 399. 0.893 5.82 2.03 0.824 0.499 0.696 0.930 0.690
010 [-] 399. 0.893 5.82 2.03 0.824 0.499 0.696 0.930 0.690
011 [-] 399. 0.893 5.82 2.03 0.824 0.499 0.696 0.930 0.690
012 [-] 399. 0.893 5.82 2.03 0.824 0.499 0.696 0.930 0.690
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 [-] 381.
000 [-] 384. 3.68 9.64 0.593 0.843 0.705 0.951 0.909 0.823
001 [-] 384. 3.68 9.64 0.593 0.843 0.705 0.951 0.909 0.823
002 [-] 384. 3.68 9.64 0.593 0.843 0.705 0.951 0.909 0.823
003 [-] 384. 3.68 9.64 0.593 0.843 0.705 0.951 0.909 0.823
004 [-] 384. 3.68 9.64 0.593 0.843 0.705 0.951 0.909 0.823
005 [-] 384. 3.68 9.64 0.593 0.843 0.705 0.951 0.909 0.823
006 [-] 384. 3.68 9.64 0.593 0.843 0.705 0.951 0.909 0.823
007 [-] 384. 3.68 9.64 0.593 0.843 0.705 0.951 0.909 0.823
008 [-] 384. 3.68 9.64 0.593 0.843 0.705 0.951 0.909 0.823
009 [-] 384. 3.68 9.64 0.593 0.843 0.705 0.951 0.909 0.823
010 [-] 384. 3.68 9.64 0.593 0.843 0.705 0.951 0.909 0.823
011 [-] 384. 3.68 9.64 0.593 0.843 0.705 0.951 0.909 0.823
012 [-] 384. 3.68 9.64 0.593 0.843 0.705 0.951 0.909 0.823
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 [-] 360.
000 [-] 363. 2.94 8.77 0.473 0.867 0.694 0.953 0.904 0.822
001 [-] 363. 2.94 8.77 0.473 0.867 0.694 0.953 0.904 0.822
002 [-] 363. 2.94 8.77 0.473 0.867 0.694 0.953 0.904 0.822
003 [-] 363. 2.94 8.77 0.473 0.867 0.694 0.953 0.904 0.822
004 [-] 363. 2.94 8.77 0.473 0.867 0.694 0.953 0.904 0.822
005 [-] 363. 2.94 8.77 0.473 0.867 0.694 0.953 0.904 0.822
006 [-] 363. 2.94 8.77 0.473 0.867 0.694 0.953 0.904 0.822
007 [-] 363. 2.94 8.77 0.473 0.867 0.694 0.953 0.904 0.822
008 [-] 363. 2.94 8.77 0.473 0.867 0.694 0.953 0.904 0.822
009 [-] 363. 2.94 8.77 0.473 0.867 0.694 0.953 0.904 0.822
010 [-] 363. 2.94 8.77 0.473 0.867 0.694 0.953 0.904 0.822
011 [-] 363. 2.94 8.77 0.473 0.867 0.694 0.953 0.904 0.822
012 [-] 363. 2.94 8.77 0.473 0.867 0.694 0.953 0.904 0.822
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 [-] 232.
000 [-] 232. 0.180 9.64 0.00 0.958 0.855 1.00 0.978 0.929
001 [-] 232. 0.180 9.64 0.00 0.958 0.855 1.00 0.978 0.929
002 [-] 232. 0.180 9.64 0.00 0.958 0.855 1.00 0.978 0.929
003 [-] 232. 0.180 9.64 0.00 0.958 0.855 1.00 0.978 0.929
004 [-] 232. 0.180 9.64 0.00 0.958 0.855 1.00 0.978 0.929
005 [-] 232. 0.180 9.64 0.00 0.958 0.855 1.00 0.978 0.929
006 [-] 232. 0.180 9.64 0.00 0.958 0.855 1.00 0.978 0.929
007 [-] 232. 0.180 9.64 0.00 0.958 0.855 1.00 0.978 0.929
008 [-] 232. 0.180 9.64 0.00 0.958 0.855 1.00 0.978 0.929
009 [-] 232. 0.180 9.64 0.00 0.958 0.855 1.00 0.978 0.929
010 [-] 232. 0.180 9.64 0.00 0.958 0.855 1.00 0.978 0.929
011 [-] 232. 0.180 9.64 0.00 0.958 0.855 1.00 0.978 0.929
012 [-] 232. 0.180 9.64 0.00 0.958 0.855 1.00 0.978 0.929
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 [-] 406.
000 [-] 406. 0.534 4.81 3.02 0.469 0.227 0.500 0.766 0.438
001 [-] 406. 0.534 4.81 3.02 0.469 0.227 0.500 0.766 0.438
002 [-] 406. 0.534 4.81 3.02 0.469 0.227 0.500 0.766 0.438
003 [-] 406. 0.534 4.81 3.02 0.469 0.227 0.500 0.766 0.438
004 [-] 406. 0.534 4.81 3.02 0.469 0.227 0.500 0.766 0.438
005 [-] 406. 0.534 4.81 3.02 0.469 0.227 0.500 0.766 0.438
006 [-] 406. 0.534 4.81 3.02 0.469 0.227 0.500 0.766 0.438
007 [-] 406. 0.534 4.81 3.02 0.469 0.227 0.500 0.766 0.438
008 [-] 406. 0.534 4.81 3.02 0.469 0.227 0.500 0.766 0.438
009 [-] 406. 0.534 4.81 3.02 0.469 0.227 0.500 0.766 0.438
010 [-] 406. 0.534 4.81 3.02 0.469 0.227 0.500 0.766 0.438
011 [-] 406. 0.534 4.81 3.02 0.469 0.227 0.500 0.766 0.438
012 [-] 406. 0.534 4.81 3.02 0.469 0.227 0.500 0.766 0.438
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 [-] 263.
000 [-] 263. 0.166 7.98 0.0287 0.978 0.873 0.998 0.979 0.940
001 [-] 263. 0.166 7.98 0.0287 0.978 0.873 0.998 0.979 0.940
002 [-] 263. 0.166 7.98 0.0287 0.978 0.873 0.998 0.979 0.940
003 [-] 263. 0.166 7.98 0.0287 0.978 0.873 0.998 0.979 0.940
004 [-] 263. 0.166 7.98 0.0287 0.978 0.873 0.998 0.979 0.940
005 [-] 263. 0.166 7.98 0.0287 0.978 0.873 0.998 0.979 0.940
006 [-] 263. 0.166 7.98 0.0287 0.978 0.873 0.998 0.979 0.940
007 [-] 263. 0.166 7.98 0.0287 0.978 0.873 0.998 0.979 0.940
008 [-] 263. 0.166 7.98 0.0287 0.978 0.873 0.998 0.979 0.940
009 [-] 263. 0.166 7.98 0.0287 0.978 0.873 0.998 0.979 0.940
010 [-] 263. 0.166 7.98 0.0287 0.978 0.873 0.998 0.979 0.940
011 [-] 263. 0.166 7.98 0.0287 0.978 0.873 0.998 0.979 0.940
012 [-] 263. 0.166 7.98 0.0287 0.978 0.873 0.998 0.979 0.940
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 [-] 291.
000 [-] 293. 2.06 9.14 0.196 0.939 0.839 0.987 0.963 0.913
001 [-] 293. 2.06 9.14 0.196 0.939 0.839 0.987 0.963 0.913
002 [-] 293. 2.06 9.14 0.196 0.939 0.839 0.987 0.963 0.913
003 [-] 293. 2.06 9.14 0.196 0.939 0.839 0.987 0.963 0.913
004 [-] 293. 2.06 9.14 0.196 0.939 0.839 0.987 0.963 0.913
005 [-] 293. 2.06 9.14 0.196 0.939 0.839 0.987 0.963 0.913
006 [-] 293. 2.06 9.14 0.196 0.939 0.839 0.987 0.963 0.913
007 [-] 293. 2.06 9.14 0.196 0.939 0.839 0.987 0.963 0.913
008 [-] 293. 2.06 9.14 0.196 0.939 0.839 0.987 0.963 0.913
009 [-] 293. 2.06 9.14 0.196 0.939 0.839 0.987 0.963 0.913
010 [-] 293. 2.06 9.14 0.196 0.939 0.839 0.987 0.963 0.913
011 [-] 293. 2.06 9.14 0.196 0.939 0.839 0.987 0.963 0.913
012 [-] 293. 2.06 9.14 0.196 0.939 0.839 0.987 0.963 0.913
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 [-] 358.
000 [-] 362. 3.73 9.59 0.373 0.910 0.787 0.964 0.961 0.882
001 [-] 362. 3.73 9.59 0.373 0.910 0.787 0.964 0.961 0.882
002 [-] 362. 3.73 9.59 0.373 0.910 0.787 0.964 0.961 0.882
003 [-] 362. 3.73 9.59 0.373 0.910 0.787 0.964 0.961 0.882
004 [-] 362. 3.73 9.59 0.373 0.910 0.787 0.964 0.961 0.882
005 [-] 362. 3.73 9.59 0.373 0.910 0.787 0.964 0.961 0.882
006 [-] 362. 3.73 9.59 0.373 0.910 0.787 0.964 0.961 0.882
007 [-] 362. 3.73 9.59 0.373 0.910 0.787 0.964 0.961 0.882
008 [-] 362. 3.73 9.59 0.373 0.910 0.787 0.964 0.961 0.882
009 [-] 362. 3.73 9.59 0.373 0.910 0.787 0.964 0.961 0.882
010 [-] 362. 3.73 9.59 0.373 0.910 0.787 0.964 0.961 0.882
011 [-] 362. 3.73 9.59 0.373 0.910 0.787 0.964 0.961 0.882
012 [-] 362. 3.73 9.59 0.373 0.910 0.787 0.964 0.961 0.882
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 [-] 255.
000 [-] 256. 0.947 8.03 0.00 0.979 0.872 1.00 0.973 0.939
001 [-] 256. 0.947 8.03 0.00 0.979 0.872 1.00 0.973 0.939
002 [-] 256. 0.947 8.03 0.00 0.979 0.872 1.00 0.973 0.939
003 [-] 256. 0.947 8.03 0.00 0.979 0.872 1.00 0.973 0.939
004 [-] 256. 0.947 8.03 0.00 0.979 0.872 1.00 0.973 0.939
005 [-] 256. 0.947 8.03 0.00 0.979 0.872 1.00 0.973 0.939
006 [-] 256. 0.947 8.03 0.00 0.979 0.872 1.00 0.973 0.939
007 [-] 256. 0.947 8.03 0.00 0.979 0.872 1.00 0.973 0.939
008 [-] 256. 0.947 8.03 0.00 0.979 0.872 1.00 0.973 0.939
009 [-] 256. 0.947 8.03 0.00 0.979 0.872 1.00 0.973 0.939
010 [-] 256. 0.947 8.03 0.00 0.979 0.872 1.00 0.973 0.939
011 [-] 256. 0.947 8.03 0.00 0.979 0.872 1.00 0.973 0.939
012 [-] 256. 0.947 8.03 0.00 0.979 0.872 1.00 0.973 0.939
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 [-] 353.
000 [-] 352. -1.35 8.05 0.155 0.935 0.823 0.990 0.976 0.909
001 [-] 352. -1.35 8.05 0.155 0.935 0.823 0.990 0.976 0.909
002 [-] 352. -1.35 8.05 0.155 0.935 0.823 0.990 0.976 0.909
003 [-] 352. -1.35 8.05 0.155 0.935 0.823 0.990 0.976 0.909
004 [-] 352. -1.35 8.05 0.155 0.935 0.823 0.990 0.976 0.909
005 [-] 352. -1.35 8.05 0.155 0.935 0.823 0.990 0.976 0.909
006 [-] 352. -1.35 8.05 0.155 0.935 0.823 0.990 0.976 0.909
007 [-] 352. -1.35 8.05 0.155 0.935 0.823 0.990 0.976 0.909
008 [-] 352. -1.35 8.05 0.155 0.935 0.823 0.990 0.976 0.909
009 [-] 352. -1.35 8.05 0.155 0.935 0.823 0.990 0.976 0.909
010 [-] 352. -1.35 8.05 0.155 0.935 0.823 0.990 0.976 0.909
011 [-] 352. -1.35 8.05 0.155 0.935 0.823 0.990 0.976 0.909
012 [-] 352. -1.35 8.05 0.155 0.935 0.823 0.990 0.976 0.909
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 [-] 299.
000 [-] 300. 0.926 7.37 0.344 0.950 0.831 0.977 0.975 0.913
001 [-] 300. 0.926 7.37 0.344 0.950 0.831 0.977 0.975 0.913
002 [-] 300. 0.926 7.37 0.344 0.950 0.831 0.977 0.975 0.913
003 [-] 300. 0.926 7.37 0.344 0.950 0.831 0.977 0.975 0.913
004 [-] 300. 0.926 7.37 0.344 0.950 0.831 0.977 0.975 0.913
005 [-] 300. 0.926 7.37 0.344 0.950 0.831 0.977 0.975 0.913
006 [-] 300. 0.926 7.37 0.344 0.950 0.831 0.977 0.975 0.913
007 [-] 300. 0.926 7.37 0.344 0.950 0.831 0.977 0.975 0.913
008 [-] 300. 0.926 7.37 0.344 0.950 0.831 0.977 0.975 0.913
009 [-] 300. 0.926 7.37 0.344 0.950 0.831 0.977 0.975 0.913
010 [-] 300. 0.926 7.37 0.344 0.950 0.831 0.977 0.975 0.913
011 [-] 300. 0.926 7.37 0.344 0.950 0.831 0.977 0.975 0.913
012 [-] 300. 0.926 7.37 0.344 0.950 0.831 0.977 0.975 0.913
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 [-] 321.
000 [-] 323. 1.51 8.54 0.407 0.905 0.775 0.951 0.946 0.870
001 [-] 323. 1.51 8.54 0.407 0.905 0.775 0.951 0.946 0.870
002 [-] 323. 1.51 8.54 0.407 0.905 0.775 0.951 0.946 0.870
003 [-] 323. 1.51 8.54 0.407 0.905 0.775 0.951 0.946 0.870
004 [-] 323. 1.51 8.54 0.407 0.905 0.775 0.951 0.946 0.870
005 [-] 323. 1.51 8.54 0.407 0.905 0.775 0.951 0.946 0.870
006 [-] 323. 1.51 8.54 0.407 0.905 0.775 0.951 0.946 0.870
007 [-] 323. 1.51 8.54 0.407 0.905 0.775 0.951 0.946 0.870
008 [-] 323. 1.51 8.54 0.407 0.905 0.775 0.951 0.946 0.870
009 [-] 323. 1.51 8.54 0.407 0.905 0.775 0.951 0.946 0.870
010 [-] 323. 1.51 8.54 0.407 0.905 0.775 0.951 0.946 0.870
011 [-] 323. 1.51 8.54 0.407 0.905 0.775 0.951 0.946 0.870
012 [-] 323. 1.51 8.54 0.407 0.905 0.775 0.951 0.946 0.870
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 [-] 341.
000 [-] 343. 2.79 10.5 0.528 0.883 0.766 0.940 0.967 0.864
001 [-] 343. 2.79 10.5 0.528 0.883 0.766 0.940 0.967 0.864
002 [-] 343. 2.79 10.5 0.528 0.883 0.766 0.940 0.967 0.864
003 [-] 343. 2.79 10.5 0.528 0.883 0.766 0.940 0.967 0.864
004 [-] 343. 2.79 10.5 0.528 0.883 0.766 0.940 0.967 0.864
005 [-] 343. 2.79 10.5 0.528 0.883 0.766 0.940 0.967 0.864
006 [-] 343. 2.79 10.5 0.528 0.883 0.766 0.940 0.967 0.864
007 [-] 343. 2.79 10.5 0.528 0.883 0.766 0.940 0.967 0.864
008 [-] 343. 2.79 10.5 0.528 0.883 0.766 0.940 0.967 0.864
009 [-] 343. 2.79 10.5 0.528 0.883 0.766 0.940 0.967 0.864
010 [-] 343. 2.79 10.5 0.528 0.883 0.766 0.940 0.967 0.864
011 [-] 343. 2.79 10.5 0.528 0.883 0.766 0.940 0.967 0.864
012 [-] 343. 2.79 10.5 0.528 0.883 0.766 0.940 0.967 0.864
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 [-] 265.
000 [-] 265. 0.324 6.37 0.00 0.986 0.886 1.00 0.982 0.948
001 [-] 265. 0.324 6.37 0.00 0.986 0.886 1.00 0.982 0.948
002 [-] 265. 0.324 6.37 0.00 0.986 0.886 1.00 0.982 0.948
003 [-] 265. 0.324 6.37 0.00 0.986 0.886 1.00 0.982 0.948
004 [-] 265. 0.324 6.37 0.00 0.986 0.886 1.00 0.982 0.948
005 [-] 265. 0.324 6.37 0.00 0.986 0.886 1.00 0.982 0.948
006 [-] 265. 0.324 6.37 0.00 0.986 0.886 1.00 0.982 0.948
007 [-] 265. 0.324 6.37 0.00 0.986 0.886 1.00 0.982 0.948
008 [-] 265. 0.324 6.37 0.00 0.986 0.886 1.00 0.982 0.948
009 [-] 265. 0.324 6.37 0.00 0.986 0.886 1.00 0.982 0.948
010 [-] 265. 0.324 6.37 0.00 0.986 0.886 1.00 0.982 0.948
011 [-] 265. 0.324 6.37 0.00 0.986 0.886 1.00 0.982 0.948
012 [-] 265. 0.324 6.37 0.00 0.986 0.886 1.00 0.982 0.948
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 [-] 352.
000 [-] 356. 3.48 9.97 0.258 0.887 0.718 0.983 0.986 0.858
001 [-] 356. 3.48 9.97 0.258 0.887 0.718 0.983 0.986 0.858
002 [-] 356. 3.48 9.97 0.258 0.887 0.718 0.983 0.986 0.858
003 [-] 356. 3.48 9.97 0.258 0.887 0.718 0.983 0.986 0.858
004 [-] 356. 3.48 9.97 0.258 0.887 0.718 0.983 0.986 0.858
005 [-] 356. 3.48 9.97 0.258 0.887 0.718 0.983 0.986 0.858
006 [-] 356. 3.48 9.97 0.258 0.887 0.718 0.983 0.986 0.858
007 [-] 356. 3.48 9.97 0.258 0.887 0.718 0.983 0.986 0.858
008 [-] 356. 3.48 9.97 0.258 0.887 0.718 0.983 0.986 0.858
009 [-] 356. 3.48 9.97 0.258 0.887 0.718 0.983 0.986 0.858
010 [-] 356. 3.48 9.97 0.258 0.887 0.718 0.983 0.986 0.858
011 [-] 356. 3.48 9.97 0.258 0.887 0.718 0.983 0.986 0.858
012 [-] 356. 3.48 9.97 0.258 0.887 0.718 0.983 0.986 0.858
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 [-] 322.
000 [-] 320. -1.79 7.86 0.00 0.951 0.849 1.00 0.957 0.921
001 [-] 320. -1.79 7.86 0.00 0.951 0.849 1.00 0.957 0.921
002 [-] 320. -1.79 7.86 0.00 0.951 0.849 1.00 0.957 0.921
003 [-] 320. -1.79 7.86 0.00 0.951 0.849 1.00 0.957 0.921
004 [-] 320. -1.79 7.86 0.00 0.951 0.849 1.00 0.957 0.921
005 [-] 320. -1.79 7.86 0.00 0.951 0.849 1.00 0.957 0.921
006 [-] 320. -1.79 7.86 0.00 0.951 0.849 1.00 0.957 0.921
007 [-] 320. -1.79 7.86 0.00 0.951 0.849 1.00 0.957 0.921
008 [-] 320. -1.79 7.86 0.00 0.951 0.849 1.00 0.957 0.921
009 [-] 320. -1.79 7.86 0.00 0.951 0.849 1.00 0.957 0.921
010 [-] 320. -1.79 7.86 0.00 0.951 0.849 1.00 0.957 0.921
011 [-] 320. -1.79 7.86 0.00 0.951 0.849 1.00 0.957 0.921
012 [-] 320. -1.79 7.86 0.00 0.951 0.849 1.00 0.957 0.921
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 [-] 276.
000 [-] 276. -0.460 6.89 0.0782 0.969 0.857 0.995 0.979 0.932
001 [-] 276. -0.460 6.89 0.0782 0.969 0.857 0.995 0.979 0.932
002 [-] 276. -0.460 6.89 0.0782 0.969 0.857 0.995 0.979 0.932
003 [-] 276. -0.460 6.89 0.0782 0.969 0.857 0.995 0.979 0.932
004 [-] 276. -0.460 6.89 0.0782 0.969 0.857 0.995 0.979 0.932
005 [-] 276. -0.460 6.89 0.0782 0.969 0.857 0.995 0.979 0.932
006 [-] 276. -0.460 6.89 0.0782 0.969 0.857 0.995 0.979 0.932
007 [-] 276. -0.460 6.89 0.0782 0.969 0.857 0.995 0.979 0.932
008 [-] 276. -0.460 6.89 0.0782 0.969 0.857 0.995 0.979 0.932
009 [-] 276. -0.460 6.89 0.0782 0.969 0.857 0.995 0.979 0.932
010 [-] 276. -0.460 6.89 0.0782 0.969 0.857 0.995 0.979 0.932
011 [-] 276. -0.460 6.89 0.0782 0.969 0.857 0.995 0.979 0.932
012 [-] 276. -0.460 6.89 0.0782 0.969 0.857 0.995 0.979 0.932
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 [-] 287.
000 [-] 288. 1.24 9.48 0.258 0.909 0.778 0.983 0.913 0.872
001 [-] 288. 1.24 9.48 0.258 0.909 0.778 0.983 0.913 0.872
002 [-] 288. 1.24 9.48 0.258 0.909 0.778 0.983 0.913 0.872
003 [-] 288. 1.24 9.48 0.258 0.909 0.778 0.983 0.913 0.872
004 [-] 288. 1.24 9.48 0.258 0.909 0.778 0.983 0.913 0.872
005 [-] 288. 1.24 9.48 0.258 0.909 0.778 0.983 0.913 0.872
006 [-] 288. 1.24 9.48 0.258 0.909 0.778 0.983 0.913 0.872
007 [-] 288. 1.24 9.48 0.258 0.909 0.778 0.983 0.913 0.872
008 [-] 288. 1.24 9.48 0.258 0.909 0.778 0.983 0.913 0.872
009 [-] 288. 1.24 9.48 0.258 0.909 0.778 0.983 0.913 0.872
010 [-] 288. 1.24 9.48 0.258 0.909 0.778 0.983 0.913 0.872
011 [-] 288. 1.24 9.48 0.258 0.909 0.778 0.983 0.913 0.872
012 [-] 288. 1.24 9.48 0.258 0.909 0.778 0.983 0.913 0.872
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 [-] 408.
000 [-] 410. 1.87 5.22 1.45 0.702 0.503 0.776 0.850 0.667
001 [-] 410. 1.87 5.22 1.45 0.702 0.503 0.776 0.850 0.667
002 [-] 410. 1.87 5.22 1.45 0.702 0.503 0.776 0.850 0.667
003 [-] 410. 1.87 5.22 1.45 0.702 0.503 0.776 0.850 0.667
004 [-] 410. 1.87 5.22 1.45 0.702 0.503 0.776 0.850 0.667
005 [-] 410. 1.87 5.22 1.45 0.702 0.503 0.776 0.850 0.667
006 [-] 410. 1.87 5.22 1.45 0.702 0.503 0.776 0.850 0.667
007 [-] 410. 1.87 5.22 1.45 0.702 0.503 0.776 0.850 0.667
008 [-] 410. 1.87 5.22 1.45 0.702 0.503 0.776 0.850 0.667
009 [-] 410. 1.87 5.22 1.45 0.702 0.503 0.776 0.850 0.667
010 [-] 410. 1.87 5.22 1.45 0.702 0.503 0.776 0.850 0.667
011 [-] 410. 1.87 5.22 1.45 0.702 0.503 0.776 0.850 0.667
012 [-] 410. 1.87 5.22 1.45 0.702 0.503 0.776 0.850 0.667
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 [-] 375.
000 [-] 377. 2.01 8.53 0.812 0.916 0.713 0.868 0.855 0.813
001 [-] 377. 2.01 8.53 0.812 0.916 0.713 0.868 0.855 0.813
002 [-] 377. 2.01 8.53 0.812 0.916 0.713 0.868 0.855 0.813
003 [-] 377. 2.01 8.53 0.812 0.916 0.713 0.868 0.855 0.813
004 [-] 377. 2.01 8.53 0.812 0.916 0.713 0.868 0.855 0.813
005 [-] 377. 2.01 8.53 0.812 0.916 0.713 0.868 0.855 0.813
006 [-] 377. 2.01 8.53 0.812 0.916 0.713 0.868 0.855 0.813
007 [-] 377. 2.01 8.53 0.812 0.916 0.713 0.868 0.855 0.813
008 [-] 377. 2.01 8.53 0.812 0.916 0.713 0.868 0.855 0.813
009 [-] 377. 2.01 8.53 0.812 0.916 0.713 0.868 0.855 0.813
010 [-] 377. 2.01 8.53 0.812 0.916 0.713 0.868 0.855 0.813
011 [-] 377. 2.01 8.53 0.812 0.916 0.713 0.868 0.855 0.813
012 [-] 377. 2.01 8.53 0.812 0.916 0.713 0.868 0.855 0.813
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 [-] 300.
000 [-] 303. 2.95 10.8 0.328 0.783 0.707 0.979 0.911 0.817
001 [-] 303. 2.95 10.8 0.328 0.783 0.707 0.979 0.911 0.817
002 [-] 303. 2.95 10.8 0.328 0.783 0.707 0.979 0.911 0.817
003 [-] 303. 2.95 10.8 0.328 0.783 0.707 0.979 0.911 0.817
004 [-] 303. 2.95 10.8 0.328 0.783 0.707 0.979 0.911 0.817
005 [-] 303. 2.95 10.8 0.328 0.783 0.707 0.979 0.911 0.817
006 [-] 303. 2.95 10.8 0.328 0.783 0.707 0.979 0.911 0.817
007 [-] 303. 2.95 10.8 0.328 0.783 0.707 0.979 0.911 0.817
008 [-] 303. 2.95 10.8 0.328 0.783 0.707 0.979 0.911 0.817
009 [-] 303. 2.95 10.8 0.328 0.783 0.707 0.979 0.911 0.817
010 [-] 303. 2.95 10.8 0.328 0.783 0.707 0.979 0.911 0.817
011 [-] 303. 2.95 10.8 0.328 0.783 0.707 0.979 0.911 0.817
012 [-] 303. 2.95 10.8 0.328 0.783 0.707 0.979 0.911 0.817

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 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:
Mon Jun 30 23:41:07 PDT 2014

  Approach:
I simply read surface all-sky downward longwave (lw_sfc_dn) radiation. 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