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 [-] 451.
000 [-] 458. 6.61 14.7 2.01 0.247 0.259 0.681 0.804 0.450
001 [-] 459. 8.08 15.8 2.01 0.193 0.259 0.681 0.808 0.440
002 [-] 461. 9.84 17.2 2.01 0.155 0.262 0.681 0.813 0.434
003 [-] 471. 19.7 26.5 2.01 0.108 0.250 0.681 0.726 0.403
004 [-] 475. 24.2 30.7 2.01 0.0872 0.253 0.681 0.743 0.403
005 [-] 476. 24.7 31.2 2.01 0.0856 0.252 0.681 0.734 0.401
006 [-] 476. 25.3 31.8 2.01 0.0854 0.249 0.681 0.718 0.396
007 [-] 458. 6.61 14.7 2.01 0.248 0.260 0.681 0.803 0.450
008 [-] 458. 6.62 14.7 2.01 0.247 0.259 0.681 0.804 0.450
009 [-] 458. 6.62 14.6 2.18 0.246 0.262 0.639 0.817 0.445
010 [-] 458. 6.51 14.5 2.01 0.253 0.259 0.681 0.796 0.449
011 [-] 458. 6.65 14.6 2.35 0.253 0.257 0.640 0.770 0.435
012 [-] 458. 6.82 14.7 2.18 0.252 0.256 0.670 0.760 0.439
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 [-] 468.
000 [-] 473. 4.97 19.6 0.832 0.688 0.446 0.921 0.820 0.664
001 [-] 473. 5.00 19.7 0.832 0.687 0.443 0.921 0.813 0.662
002 [-] 474. 5.16 19.8 0.832 0.689 0.441 0.921 0.810 0.661
003 [-] 474. 5.98 20.3 0.832 0.684 0.436 0.921 0.795 0.654
004 [-] 476. 7.67 21.0 0.832 0.687 0.433 0.921 0.787 0.652
005 [-] 477. 8.52 21.3 0.832 0.683 0.433 0.921 0.786 0.651
006 [-] 478. 9.96 21.9 0.832 0.642 0.437 0.921 0.800 0.648
007 [-] 473. 4.94 19.5 0.832 0.689 0.446 0.921 0.818 0.664
008 [-] 473. 4.98 19.6 0.832 0.689 0.445 0.921 0.820 0.664
009 [-] 474. 5.51 19.4 0.832 0.711 0.441 0.921 0.812 0.665
010 [-] 474. 5.37 19.3 0.917 0.709 0.440 0.906 0.808 0.661
011 [-] 473. 4.49 19.4 0.832 0.682 0.442 0.921 0.811 0.660
012 [-] 473. 4.49 19.4 0.832 0.679 0.443 0.921 0.810 0.659
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 [-] 452.
000 [-] 451. -0.918 20.7 1.97 0.740 0.358 0.717 0.842 0.603
001 [-] 451. -0.869 20.3 1.90 0.750 0.364 0.729 0.837 0.609
002 [-] 451. -0.740 20.1 1.97 0.745 0.369 0.718 0.839 0.608
003 [-] 452. 0.414 20.0 1.76 0.721 0.376 0.763 0.845 0.616
004 [-] 454. 2.39 20.2 1.56 0.698 0.388 0.809 0.852 0.627
005 [-] 455. 2.71 20.1 1.56 0.693 0.390 0.809 0.853 0.627
006 [-] 455. 3.39 20.6 1.83 0.689 0.381 0.752 0.840 0.609
007 [-] 451. -0.878 20.6 1.97 0.740 0.360 0.717 0.842 0.604
008 [-] 451. -0.965 20.7 1.97 0.739 0.357 0.717 0.841 0.602
009 [-] 450. -1.45 20.3 2.03 0.733 0.363 0.706 0.842 0.601
010 [-] 450. -1.59 20.3 1.96 0.735 0.361 0.727 0.848 0.607
011 [-] 450. -1.67 20.2 1.90 0.741 0.363 0.739 0.853 0.612
012 [-] 451. -1.16 19.9 1.97 0.759 0.367 0.734 0.847 0.615
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 [-] 269.
000 [-] 274. 4.85 15.3 0.00 0.934 0.827 1.00 0.934 0.905
001 [-] 274. 4.85 15.3 0.00 0.934 0.827 1.00 0.934 0.905
002 [-] 274. 4.88 15.3 0.00 0.934 0.828 1.00 0.935 0.905
003 [-] 274. 4.90 15.2 0.00 0.933 0.828 1.00 0.936 0.905
004 [-] 274. 5.03 15.1 0.00 0.932 0.829 1.00 0.938 0.906
005 [-] 275. 5.33 15.0 0.00 0.928 0.833 1.00 0.945 0.908
006 [-] 275. 5.72 14.7 0.00 0.923 0.838 1.00 0.954 0.911
007 [-] 274. 4.85 15.3 0.00 0.934 0.827 1.00 0.934 0.905
008 [-] 274. 4.84 15.3 0.00 0.934 0.827 1.00 0.934 0.905
009 [-] 274. 5.02 15.2 0.00 0.932 0.829 1.00 0.938 0.906
010 [-] 274. 4.69 15.3 0.00 0.936 0.826 1.00 0.932 0.904
011 [-] 274. 4.46 15.4 0.00 0.939 0.824 1.00 0.930 0.903
012 [-] 274. 4.36 15.3 0.00 0.940 0.824 1.00 0.929 0.903
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 [-] 442.
000 [-] 457. 14.8 15.4 1.52 0.0246 0.326 0.841 0.765 0.456
001 [-] 459. 16.6 17.2 1.52 0.0164 0.326 0.841 0.759 0.454
002 [-] 461. 18.7 19.2 1.02 0.0103 0.324 0.933 0.755 0.469
003 [-] 477. 35.3 35.6 1.02 0.000324 0.290 0.933 0.725 0.448
004 [-] 477. 35.3 35.6 1.02 0.000322 0.290 0.933 0.725 0.448
005 [-] 478. 35.5 35.8 1.02 0.000317 0.290 0.933 0.725 0.447
006 [-] 478. 35.6 35.9 1.02 0.000310 0.290 0.933 0.724 0.447
007 [-] 457. 14.8 15.4 1.52 0.0249 0.326 0.841 0.765 0.456
008 [-] 457. 14.8 15.4 1.52 0.0244 0.326 0.841 0.764 0.456
009 [-] 457. 15.1 15.7 1.52 0.0232 0.327 0.841 0.760 0.456
010 [-] 457. 14.7 15.3 1.52 0.0251 0.326 0.841 0.764 0.456
011 [-] 457. 14.5 15.1 1.52 0.0262 0.325 0.841 0.759 0.455
012 [-] 456. 14.4 15.0 1.52 0.0270 0.324 0.841 0.754 0.454
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 [-] 305.
000 [-] 315. 10.2 15.8 0.0287 0.860 0.857 0.998 0.930 0.901
001 [-] 315. 10.3 15.9 0.0287 0.859 0.858 0.998 0.931 0.901
002 [-] 315. 10.6 16.0 0.0287 0.857 0.860 0.998 0.934 0.902
003 [-] 316. 11.1 16.1 0.0287 0.851 0.863 0.998 0.939 0.903
004 [-] 316. 11.6 16.2 0.0287 0.846 0.867 0.998 0.945 0.905
005 [-] 317. 12.1 16.2 0.0287 0.841 0.873 0.998 0.958 0.909
006 [-] 317. 12.5 16.4 0.0287 0.836 0.877 0.998 0.967 0.911
007 [-] 315. 10.2 15.8 0.0287 0.860 0.857 0.998 0.930 0.901
008 [-] 315. 10.2 15.8 0.0287 0.860 0.857 0.998 0.930 0.901
009 [-] 315. 10.3 15.9 0.0287 0.859 0.858 0.998 0.931 0.901
010 [-] 315. 10.2 15.8 0.0287 0.860 0.857 0.998 0.930 0.900
011 [-] 315. 10.3 15.9 0.0287 0.860 0.857 0.998 0.929 0.900
012 [-] 315. 10.3 15.8 0.0287 0.859 0.857 0.998 0.930 0.900
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 [-] 365.
000 [-] 367. 2.21 16.4 0.317 0.898 0.807 0.979 0.863 0.871
001 [-] 367. 2.26 16.4 0.317 0.898 0.807 0.979 0.863 0.871
002 [-] 367. 2.36 16.4 0.317 0.897 0.807 0.979 0.863 0.870
003 [-] 367. 2.51 16.5 0.317 0.895 0.807 0.979 0.863 0.870
004 [-] 367. 2.85 16.7 0.342 0.888 0.807 0.977 0.861 0.868
005 [-] 368. 3.10 16.8 0.342 0.882 0.808 0.974 0.861 0.867
006 [-] 368. 3.59 17.1 0.342 0.874 0.808 0.974 0.861 0.865
007 [-] 367. 2.22 16.3 0.317 0.898 0.807 0.979 0.863 0.871
008 [-] 367. 2.21 16.4 0.317 0.898 0.807 0.979 0.863 0.871
009 [-] 367. 2.22 16.4 0.317 0.898 0.807 0.979 0.863 0.871
010 [-] 367. 2.29 16.3 0.317 0.899 0.808 0.979 0.864 0.871
011 [-] 367. 2.36 16.3 0.317 0.898 0.808 0.979 0.865 0.871
012 [-] 367. 2.41 16.3 0.317 0.897 0.809 0.979 0.865 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 [-] 443.
000 [-] 441. -1.71 18.7 1.02 0.743 0.535 0.901 0.818 0.706
001 [-] 441. -1.25 18.6 1.02 0.757 0.537 0.901 0.819 0.710
002 [-] 442. -0.613 18.6 1.02 0.773 0.539 0.901 0.820 0.714
003 [-] 445. 2.78 20.0 1.02 0.666 0.550 0.901 0.852 0.704
004 [-] 446. 3.87 20.5 0.829 0.643 0.554 0.935 0.851 0.708
005 [-] 447. 4.17 20.6 0.644 0.648 0.554 0.947 0.847 0.710
006 [-] 447. 4.86 20.7 0.644 0.654 0.555 0.947 0.843 0.711
007 [-] 441. -1.70 18.6 1.02 0.743 0.536 0.901 0.819 0.707
008 [-] 441. -1.73 18.7 1.02 0.743 0.534 0.901 0.818 0.706
009 [-] 441. -1.73 18.6 1.02 0.748 0.535 0.901 0.817 0.707
010 [-] 441. -1.74 18.6 0.923 0.748 0.533 0.907 0.820 0.708
011 [-] 441. -1.70 18.5 0.923 0.750 0.533 0.907 0.823 0.709
012 [-] 441. -1.71 18.5 0.923 0.751 0.531 0.907 0.827 0.709
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 [-] 289.
000 [-] 300. 10.5 16.3 0.00 0.862 0.852 1.00 0.965 0.906
001 [-] 300. 10.5 16.3 0.00 0.861 0.853 1.00 0.966 0.907
002 [-] 300. 10.7 16.3 0.00 0.859 0.854 1.00 0.968 0.907
003 [-] 300. 10.9 16.3 0.00 0.856 0.855 1.00 0.967 0.907
004 [-] 300. 11.2 16.4 0.00 0.853 0.857 1.00 0.963 0.906
005 [-] 301. 11.5 16.4 0.00 0.849 0.860 1.00 0.960 0.906
006 [-] 301. 11.8 16.3 0.00 0.846 0.864 1.00 0.958 0.907
007 [-] 300. 10.5 16.3 0.00 0.862 0.852 1.00 0.965 0.906
008 [-] 300. 10.5 16.3 0.00 0.862 0.853 1.00 0.965 0.906
009 [-] 299. 10.3 16.3 0.00 0.864 0.850 1.00 0.963 0.905
010 [-] 299. 10.0 16.4 0.00 0.867 0.846 1.00 0.961 0.904
011 [-] 299. 9.84 16.3 0.00 0.869 0.843 1.00 0.960 0.903
012 [-] 299. 9.67 16.3 0.00 0.871 0.841 1.00 0.959 0.903
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 [-] 471.
000 [-] 457. -14.1 21.7 0.928 0.718 0.683 0.921 0.909 0.783
001 [-] 457. -14.4 21.7 0.928 0.712 0.683 0.921 0.906 0.781
002 [-] 457. -14.5 21.7 0.928 0.711 0.685 0.921 0.908 0.782
003 [-] 458. -13.9 21.3 0.928 0.726 0.686 0.921 0.911 0.786
004 [-] 457. -14.1 21.5 0.928 0.723 0.687 0.921 0.910 0.786
005 [-] 458. -13.4 21.2 1.17 0.734 0.686 0.873 0.915 0.779
006 [-] 459. -12.3 20.7 1.24 0.751 0.685 0.859 0.915 0.779
007 [-] 457. -14.0 21.6 0.928 0.718 0.683 0.921 0.909 0.783
008 [-] 457. -14.1 21.7 0.928 0.717 0.682 0.921 0.908 0.782
009 [-] 458. -13.7 21.1 0.928 0.722 0.686 0.921 0.911 0.785
010 [-] 458. -13.8 21.1 0.928 0.718 0.688 0.921 0.913 0.786
011 [-] 457. -14.3 21.4 0.928 0.711 0.690 0.921 0.914 0.785
012 [-] 457. -14.3 21.3 0.928 0.711 0.692 0.921 0.916 0.786
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. 3.39 14.6 0.00 0.819 0.819 1.00 0.849 0.861
001 [-] 356. 3.61 14.6 0.00 0.816 0.822 1.00 0.853 0.863
002 [-] 356. 3.89 14.5 0.00 0.812 0.825 1.00 0.857 0.864
003 [-] 357. 4.28 14.5 0.00 0.808 0.829 1.00 0.863 0.866
004 [-] 357. 4.87 14.5 0.00 0.801 0.836 1.00 0.874 0.869
005 [-] 358. 5.75 14.4 0.00 0.792 0.850 1.00 0.898 0.878
006 [-] 359. 6.52 14.2 0.00 0.789 0.860 1.00 0.920 0.886
007 [-] 356. 3.40 14.6 0.00 0.820 0.819 1.00 0.849 0.861
008 [-] 356. 3.39 14.6 0.00 0.819 0.819 1.00 0.849 0.861
009 [-] 356. 3.74 14.6 0.00 0.813 0.822 1.00 0.852 0.862
010 [-] 356. 3.45 14.6 0.00 0.818 0.819 1.00 0.849 0.861
011 [-] 356. 3.32 14.6 0.00 0.820 0.818 1.00 0.847 0.860
012 [-] 356. 3.29 14.6 0.00 0.820 0.817 1.00 0.847 0.860
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 [-] 396.
000 [-] 397. 1.11 17.8 0.662 0.745 0.692 0.921 0.855 0.781
001 [-] 397. 1.36 18.0 0.670 0.740 0.694 0.919 0.856 0.780
002 [-] 398. 1.71 18.2 0.658 0.736 0.695 0.921 0.858 0.781
003 [-] 400. 3.57 19.5 0.637 0.718 0.695 0.924 0.856 0.778
004 [-] 400. 4.39 19.9 0.609 0.708 0.697 0.929 0.858 0.778
005 [-] 401. 4.86 20.0 0.597 0.703 0.699 0.930 0.861 0.779
006 [-] 402. 5.50 20.2 0.617 0.696 0.700 0.926 0.862 0.777
007 [-] 397. 1.12 17.8 0.662 0.745 0.693 0.921 0.855 0.781
008 [-] 397. 1.09 17.9 0.678 0.745 0.692 0.917 0.855 0.780
009 [-] 397. 1.17 17.8 0.690 0.745 0.692 0.915 0.856 0.780
010 [-] 397. 1.05 17.8 0.674 0.748 0.692 0.918 0.856 0.781
011 [-] 397. 0.956 17.7 0.658 0.747 0.693 0.922 0.856 0.782
012 [-] 397. 0.982 17.7 0.658 0.748 0.693 0.922 0.856 0.782
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 [-] 474.
000 [-] 452. -22.4 27.8 0.528 0.647 0.738 0.961 0.829 0.783
001 [-] 452. -22.4 27.9 0.528 0.647 0.738 0.961 0.829 0.783
002 [-] 452. -22.4 27.9 0.528 0.647 0.738 0.961 0.829 0.783
003 [-] 452. -22.4 27.9 0.528 0.647 0.738 0.961 0.829 0.783
004 [-] 452. -22.4 27.9 0.528 0.647 0.737 0.961 0.828 0.782
005 [-] 452. -22.3 27.9 0.528 0.648 0.737 0.961 0.828 0.782
006 [-] 452. -22.2 27.8 0.528 0.650 0.736 0.961 0.828 0.782
007 [-] 452. -22.4 27.8 0.528 0.647 0.738 0.961 0.829 0.783
008 [-] 452. -22.4 27.9 0.528 0.646 0.738 0.961 0.829 0.782
009 [-] 452. -22.5 28.0 0.528 0.646 0.736 0.961 0.827 0.781
010 [-] 452. -22.5 27.9 0.528 0.646 0.737 0.961 0.828 0.782
011 [-] 452. -22.4 27.9 0.528 0.646 0.738 0.961 0.829 0.782
012 [-] 452. -22.4 27.9 0.528 0.646 0.738 0.961 0.829 0.783
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 [-] 302.
000 [-] 314. 11.7 16.5 0.00 0.844 0.847 1.00 0.877 0.883
001 [-] 314. 11.8 16.5 0.00 0.843 0.848 1.00 0.878 0.883
002 [-] 314. 12.0 16.6 0.00 0.840 0.849 1.00 0.880 0.884
003 [-] 314. 12.3 16.8 0.00 0.837 0.850 1.00 0.881 0.884
004 [-] 315. 12.6 16.9 0.00 0.833 0.852 1.00 0.884 0.884
005 [-] 315. 12.8 16.8 0.00 0.830 0.858 1.00 0.892 0.888
006 [-] 315. 13.2 16.7 0.00 0.826 0.866 1.00 0.901 0.892
007 [-] 314. 11.7 16.5 0.00 0.844 0.847 1.00 0.877 0.883
008 [-] 314. 11.7 16.5 0.00 0.844 0.847 1.00 0.877 0.883
009 [-] 314. 11.7 16.5 0.00 0.843 0.848 1.00 0.878 0.883
010 [-] 314. 11.4 16.5 0.00 0.847 0.844 1.00 0.874 0.882
011 [-] 313. 11.2 16.5 0.00 0.850 0.841 1.00 0.871 0.881
012 [-] 313. 11.0 16.5 0.00 0.853 0.839 1.00 0.868 0.880
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 [-] 441.
000 [-] 451. 9.63 14.9 0.254 0.717 0.675 0.983 0.932 0.797
001 [-] 451. 10.0 15.3 0.254 0.707 0.678 0.983 0.919 0.793
002 [-] 452. 10.5 15.6 0.254 0.690 0.681 0.983 0.914 0.790
003 [-] 457. 15.8 19.7 0.254 0.551 0.667 0.983 0.890 0.752
004 [-] 457. 16.1 20.0 0.00 0.542 0.666 1.00 0.891 0.753
005 [-] 457. 16.4 20.5 0.00 0.535 0.659 1.00 0.891 0.749
006 [-] 458. 16.9 20.8 0.00 0.525 0.658 1.00 0.888 0.746
007 [-] 451. 9.64 14.9 0.254 0.717 0.676 0.983 0.932 0.797
008 [-] 451. 9.62 14.9 0.254 0.718 0.675 0.983 0.932 0.796
009 [-] 451. 9.52 15.1 0.254 0.728 0.670 0.983 0.933 0.797
010 [-] 450. 9.47 14.9 0.254 0.727 0.673 0.983 0.935 0.798
011 [-] 451. 9.53 14.8 0.254 0.721 0.675 0.983 0.937 0.798
012 [-] 450. 9.51 14.7 0.254 0.720 0.676 0.983 0.938 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 [-] 377.
000 [-] 382. 4.44 10.5 0.258 0.898 0.866 0.983 0.904 0.903
001 [-] 382. 4.50 10.5 0.258 0.899 0.867 0.983 0.906 0.904
002 [-] 382. 4.68 10.3 0.258 0.901 0.871 0.983 0.908 0.907
003 [-] 382. 5.17 10.1 0.258 0.900 0.876 0.983 0.915 0.910
004 [-] 384. 6.46 10.1 0.258 0.896 0.884 0.983 0.929 0.915
005 [-] 385. 7.52 10.3 0.258 0.878 0.892 0.983 0.944 0.918
006 [-] 386. 9.06 11.1 0.258 0.852 0.897 0.983 0.957 0.917
007 [-] 382. 4.43 10.5 0.258 0.898 0.867 0.983 0.905 0.904
008 [-] 382. 4.44 10.5 0.258 0.897 0.866 0.983 0.904 0.903
009 [-] 382. 4.71 10.3 0.258 0.896 0.871 0.983 0.906 0.905
010 [-] 382. 4.68 10.5 0.258 0.895 0.868 0.983 0.906 0.904
011 [-] 382. 4.62 10.6 0.258 0.894 0.867 0.983 0.905 0.903
012 [-] 382. 4.45 10.6 0.258 0.897 0.866 0.983 0.904 0.903
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 [-] 319.
000 [-] 329. 10.2 14.8 0.00 0.846 0.846 1.00 0.886 0.885
001 [-] 330. 10.4 14.8 0.00 0.843 0.847 1.00 0.889 0.885
002 [-] 330. 10.7 15.0 0.00 0.838 0.850 1.00 0.893 0.886
003 [-] 331. 11.3 15.2 0.00 0.829 0.854 1.00 0.900 0.888
004 [-] 331. 12.0 15.4 0.00 0.820 0.860 1.00 0.912 0.890
005 [-] 332. 12.9 15.7 0.00 0.808 0.871 1.00 0.933 0.897
006 [-] 333. 13.5 15.9 0.00 0.800 0.876 1.00 0.942 0.899
007 [-] 329. 10.2 14.8 0.00 0.846 0.846 1.00 0.886 0.885
008 [-] 329. 10.2 14.8 0.00 0.846 0.846 1.00 0.886 0.885
009 [-] 329. 10.1 14.8 0.00 0.847 0.845 1.00 0.885 0.884
010 [-] 329. 9.96 14.7 0.00 0.849 0.844 1.00 0.884 0.884
011 [-] 329. 9.95 14.8 0.00 0.849 0.843 1.00 0.884 0.884
012 [-] 329. 9.98 14.8 0.00 0.849 0.843 1.00 0.884 0.884
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 [-] 370.
000 [-] 377. 7.18 21.5 0.127 0.832 0.771 0.992 0.814 0.836
001 [-] 377. 7.19 21.5 0.127 0.832 0.771 0.992 0.814 0.836
002 [-] 377. 7.22 21.5 0.127 0.833 0.771 0.992 0.813 0.836
003 [-] 377. 7.33 21.5 0.127 0.831 0.772 0.992 0.813 0.836
004 [-] 377. 7.36 21.6 0.127 0.831 0.770 0.992 0.811 0.835
005 [-] 377. 7.38 21.6 0.127 0.831 0.771 0.992 0.811 0.835
006 [-] 378. 7.91 21.6 0.127 0.824 0.773 0.992 0.814 0.835
007 [-] 377. 7.26 21.5 0.127 0.831 0.772 0.992 0.814 0.836
008 [-] 377. 7.16 21.5 0.127 0.832 0.771 0.992 0.813 0.836
009 [-] 377. 7.44 21.5 0.127 0.828 0.773 0.992 0.814 0.836
010 [-] 377. 7.39 21.5 0.127 0.831 0.772 0.992 0.814 0.836
011 [-] 377. 7.37 21.5 0.127 0.831 0.773 0.992 0.814 0.836
012 [-] 377. 7.32 21.5 0.127 0.831 0.772 0.992 0.814 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 [-] 450.
000 [-] 459. 9.36 12.7 2.32 0.259 0.408 0.641 0.709 0.485
001 [-] 462. 11.7 14.4 2.25 0.205 0.419 0.654 0.734 0.486
002 [-] 464. 13.8 15.9 2.25 0.173 0.424 0.654 0.752 0.485
003 [-] 479. 28.8 30.0 2.17 0.0745 0.389 0.660 0.703 0.443
004 [-] 479. 29.5 30.3 2.10 0.0456 0.389 0.664 0.699 0.437
005 [-] 480. 29.8 30.6 2.10 0.0416 0.389 0.664 0.693 0.436
006 [-] 480. 30.3 31.1 2.03 0.0360 0.390 0.677 0.680 0.434
007 [-] 459. 9.34 12.6 2.32 0.260 0.410 0.641 0.711 0.486
008 [-] 459. 9.36 12.7 2.32 0.259 0.408 0.641 0.708 0.485
009 [-] 459. 9.47 12.8 2.39 0.262 0.406 0.636 0.718 0.486
010 [-] 459. 9.00 12.5 2.25 0.272 0.406 0.654 0.724 0.492
011 [-] 459. 8.75 12.3 2.25 0.276 0.407 0.654 0.728 0.495
012 [-] 459. 8.79 12.3 2.32 0.271 0.409 0.641 0.716 0.489
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 [-] 446.
000 [-] 448. 1.40 11.2 1.53 0.769 0.553 0.778 0.822 0.695
001 [-] 448. 1.60 11.3 1.53 0.755 0.555 0.778 0.821 0.693
002 [-] 448. 1.89 11.3 1.43 0.750 0.559 0.797 0.823 0.698
003 [-] 449. 3.13 11.2 1.32 0.735 0.576 0.804 0.842 0.707
004 [-] 454. 7.38 13.0 1.22 0.676 0.575 0.811 0.820 0.691
005 [-] 455. 8.38 13.5 1.22 0.659 0.569 0.811 0.811 0.684
006 [-] 456. 9.94 14.6 1.32 0.607 0.561 0.804 0.796 0.666
007 [-] 448. 1.45 11.2 1.53 0.767 0.554 0.778 0.821 0.695
008 [-] 448. 1.34 11.2 1.53 0.771 0.552 0.778 0.821 0.695
009 [-] 448. 1.49 11.6 1.53 0.773 0.546 0.778 0.826 0.694
010 [-] 447. 0.796 11.1 1.53 0.789 0.554 0.778 0.833 0.702
011 [-] 447. 0.309 10.8 1.53 0.804 0.564 0.778 0.834 0.709
012 [-] 446. 0.153 10.6 1.43 0.809 0.568 0.785 0.832 0.712
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 [-] 391.
000 [-] 403. 11.8 16.8 0.853 0.635 0.661 0.893 0.801 0.730
001 [-] 403. 12.1 17.1 1.52 0.632 0.659 0.749 0.798 0.700
002 [-] 404. 12.8 17.7 1.18 0.607 0.658 0.822 0.795 0.708
003 [-] 406. 15.3 20.1 1.18 0.589 0.660 0.822 0.797 0.706
004 [-] 407. 16.0 20.6 1.18 0.574 0.659 0.822 0.795 0.702
005 [-] 409. 18.0 22.4 0.511 0.551 0.657 0.966 0.788 0.724
006 [-] 410. 18.7 22.7 0.511 0.552 0.658 0.966 0.788 0.724
007 [-] 403. 11.8 16.8 0.853 0.634 0.662 0.893 0.800 0.730
008 [-] 403. 11.8 16.8 1.52 0.634 0.661 0.749 0.800 0.701
009 [-] 403. 11.9 17.1 1.52 0.637 0.657 0.749 0.796 0.699
010 [-] 403. 11.8 16.9 1.52 0.640 0.661 0.749 0.799 0.702
011 [-] 403. 12.0 16.8 0.853 0.630 0.662 0.893 0.799 0.729
012 [-] 403. 12.0 16.8 0.853 0.627 0.663 0.893 0.799 0.729

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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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 23:35:20 PDT 2014

  Approach:
I simply read surface all-sky upward longwave (lw_sfc_up) 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