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] |
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Benchmark | [-] | 199. | ||||||||||
CLM4.5_CRUNCEPv7 | [-] | 219. | 19.9 | 27.9 | 1.02 | 0.485 | 0.497 | 0.933 | 0.629 | 0.608 | ||
CLM4.5_GSWP3v1 | [-] | 222. | 22.8 | 32.8 | 0.00 | 0.436 | 0.433 | 1.00 | 0.978 | 0.656 | ||
CLM4_CRUNCEPv7 | [-] | 219. | 19.9 | 27.9 | 1.02 | 0.485 | 0.497 | 0.933 | 0.629 | 0.608 | ||
CLM4_GSWP3v1 | [-] | 222. | 22.8 | 32.8 | 0.00 | 0.436 | 0.433 | 1.00 | 0.978 | 0.656 | ||
CLM5_CRUNCEPv7 | [-] | 219. | 19.9 | 27.9 | 1.02 | 0.485 | 0.497 | 0.933 | 0.629 | 0.608 | ||
CLM5_GSWP3v1 | [-] | 222. | 22.8 | 32.8 | 0.00 | 0.436 | 0.433 | 1.00 | 0.978 | 0.656 |
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] |
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Benchmark | [-] | 242. | ||||||||||
CLM4.5_CRUNCEPv7 | [-] | 246. | 4.05 | 17.4 | 0.00 | 0.944 | 0.793 | 1.00 | 0.984 | 0.903 | ||
CLM4.5_GSWP3v1 | [-] | 241. | -0.707 | 16.5 | 0.00 | 0.990 | 0.789 | 1.00 | 0.983 | 0.910 | ||
CLM4_CRUNCEPv7 | [-] | 246. | 4.05 | 17.4 | 0.00 | 0.944 | 0.793 | 1.00 | 0.984 | 0.903 | ||
CLM4_GSWP3v1 | [-] | 241. | -0.707 | 16.5 | 0.00 | 0.990 | 0.789 | 1.00 | 0.983 | 0.910 | ||
CLM5_CRUNCEPv7 | [-] | 246. | 4.05 | 17.4 | 0.00 | 0.944 | 0.793 | 1.00 | 0.984 | 0.903 | ||
CLM5_GSWP3v1 | [-] | 241. | -0.707 | 16.5 | 0.00 | 0.990 | 0.789 | 1.00 | 0.983 | 0.910 |
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] |
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Benchmark | [-] | 105. | ||||||||||
CLM4.5_CRUNCEPv7 | [-] | 105. | -0.102 | 33.5 | 1.02 | 0.999 | 0.665 | 0.933 | 0.828 | 0.818 | ||
CLM4.5_GSWP3v1 | [-] | 90.5 | -14.7 | 16.2 | 1.02 | 0.836 | 0.752 | 0.933 | 0.962 | 0.847 | ||
CLM4_CRUNCEPv7 | [-] | 105. | -0.102 | 33.5 | 1.02 | 0.999 | 0.665 | 0.933 | 0.828 | 0.818 | ||
CLM4_GSWP3v1 | [-] | 90.5 | -14.7 | 16.2 | 1.02 | 0.836 | 0.752 | 0.933 | 0.962 | 0.847 | ||
CLM5_CRUNCEPv7 | [-] | 105. | -0.102 | 33.5 | 1.02 | 0.999 | 0.665 | 0.933 | 0.828 | 0.818 | ||
CLM5_GSWP3v1 | [-] | 90.5 | -14.7 | 16.2 | 1.02 | 0.836 | 0.752 | 0.933 | 0.962 | 0.847 |
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] |
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Benchmark | [-] | 153. | ||||||||||
CLM4.5_CRUNCEPv7 | [-] | 181. | 28.2 | 30.3 | 1.36 | 0.438 | 0.796 | 0.809 | 0.676 | 0.703 | ||
CLM4.5_GSWP3v1 | [-] | 163. | 11.8 | 20.7 | 1.02 | 0.605 | 0.745 | 0.831 | 0.712 | 0.728 | ||
CLM4_CRUNCEPv7 | [-] | 181. | 28.2 | 30.3 | 1.36 | 0.438 | 0.796 | 0.809 | 0.676 | 0.703 | ||
CLM4_GSWP3v1 | [-] | 163. | 11.8 | 20.7 | 1.02 | 0.605 | 0.745 | 0.831 | 0.712 | 0.728 | ||
CLM5_CRUNCEPv7 | [-] | 181. | 28.2 | 30.3 | 1.36 | 0.438 | 0.796 | 0.809 | 0.676 | 0.703 | ||
CLM5_GSWP3v1 | [-] | 163. | 11.8 | 20.7 | 1.02 | 0.605 | 0.745 | 0.831 | 0.712 | 0.728 |
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] |
|||
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Benchmark | [-] | 222. | ||||||||||
CLM4.5_CRUNCEPv7 | [-] | 223. | 0.815 | 24.0 | 0.258 | 0.840 | 0.629 | 0.983 | 0.879 | 0.792 | ||
CLM4.5_GSWP3v1 | [-] | 222. | -0.488 | 27.4 | 0.258 | 0.781 | 0.621 | 0.983 | 0.834 | 0.768 | ||
CLM4_CRUNCEPv7 | [-] | 223. | 0.815 | 24.0 | 0.258 | 0.840 | 0.629 | 0.983 | 0.879 | 0.792 | ||
CLM4_GSWP3v1 | [-] | 222. | -0.488 | 27.4 | 0.258 | 0.781 | 0.621 | 0.983 | 0.834 | 0.768 | ||
CLM5_CRUNCEPv7 | [-] | 223. | 0.815 | 24.0 | 0.258 | 0.840 | 0.629 | 0.983 | 0.879 | 0.792 | ||
CLM5_GSWP3v1 | [-] | 222. | -0.488 | 27.4 | 0.258 | 0.781 | 0.621 | 0.983 | 0.834 | 0.768 |
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] |
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Benchmark | [-] | 135. | ||||||||||
CLM4.5_CRUNCEPv7 | [-] | 161. | 25.8 | 29.4 | 0.254 | 0.726 | 0.836 | 0.983 | 0.945 | 0.866 | ||
CLM4.5_GSWP3v1 | [-] | 137. | 2.14 | 19.4 | 0.127 | 0.908 | 0.809 | 0.992 | 0.930 | 0.890 | ||
CLM4_CRUNCEPv7 | [-] | 161. | 25.8 | 29.4 | 0.254 | 0.726 | 0.836 | 0.983 | 0.945 | 0.866 | ||
CLM4_GSWP3v1 | [-] | 137. | 2.14 | 19.4 | 0.127 | 0.908 | 0.809 | 0.992 | 0.930 | 0.890 | ||
CLM5_CRUNCEPv7 | [-] | 161. | 25.8 | 29.4 | 0.254 | 0.726 | 0.836 | 0.983 | 0.945 | 0.866 | ||
CLM5_GSWP3v1 | [-] | 137. | 2.14 | 19.4 | 0.127 | 0.908 | 0.809 | 0.992 | 0.930 | 0.890 |
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] |
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Benchmark | [-] | 181. | ||||||||||
CLM4.5_CRUNCEPv7 | [-] | 181. | 7.16 | 31.1 | 0.559 | 0.693 | 0.688 | 0.940 | 0.763 | 0.755 | ||
CLM4.5_GSWP3v1 | [-] | 169. | -4.26 | 27.9 | 0.510 | 0.742 | 0.680 | 0.927 | 0.768 | 0.760 | ||
CLM4_CRUNCEPv7 | [-] | 181. | 7.16 | 31.1 | 0.559 | 0.693 | 0.688 | 0.940 | 0.763 | 0.755 | ||
CLM4_GSWP3v1 | [-] | 169. | -4.26 | 27.9 | 0.510 | 0.742 | 0.680 | 0.927 | 0.768 | 0.760 | ||
CLM5_CRUNCEPv7 | [-] | 181. | 7.16 | 31.1 | 0.559 | 0.693 | 0.688 | 0.940 | 0.763 | 0.755 | ||
CLM5_GSWP3v1 | [-] | 169. | -4.26 | 27.9 | 0.510 | 0.742 | 0.680 | 0.927 | 0.768 | 0.760 |
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] |
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Benchmark | [-] | 249. | ||||||||||
CLM4.5_CRUNCEPv7 | [-] | 251. | 3.74 | 15.2 | 0.00 | 0.611 | 0.815 | 1.00 | 0.604 | 0.769 | ||
CLM4.5_GSWP3v1 | [-] | 241. | -14.5 | 18.1 | 0.00 | 0.534 | 0.840 | 1.00 | 0.646 | 0.772 | ||
CLM4_CRUNCEPv7 | [-] | 251. | 3.74 | 15.2 | 0.00 | 0.611 | 0.815 | 1.00 | 0.604 | 0.769 | ||
CLM4_GSWP3v1 | [-] | 241. | -14.5 | 18.1 | 0.00 | 0.534 | 0.840 | 1.00 | 0.646 | 0.772 | ||
CLM5_CRUNCEPv7 | [-] | 251. | 3.74 | 15.2 | 0.00 | 0.611 | 0.815 | 1.00 | 0.604 | 0.769 | ||
CLM5_GSWP3v1 | [-] | 241. | -14.5 | 18.1 | 0.00 | 0.534 | 0.840 | 1.00 | 0.646 | 0.772 |
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] |
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Benchmark | [-] | 151. | ||||||||||
CLM4.5_CRUNCEPv7 | [-] | 98.9 | -52.4 | 20.2 | 0.508 | 0.507 | 0.447 | 0.966 | 0.542 | 0.582 | ||
CLM4.5_GSWP3v1 | [-] | 93.9 | -57.4 | 27.3 | 0.508 | 0.484 | 0.417 | 0.966 | 0.504 | 0.558 | ||
CLM4_CRUNCEPv7 | [-] | 98.9 | -52.4 | 20.2 | 0.508 | 0.507 | 0.447 | 0.966 | 0.542 | 0.582 | ||
CLM4_GSWP3v1 | [-] | 93.9 | -57.4 | 27.3 | 0.508 | 0.484 | 0.417 | 0.966 | 0.504 | 0.558 | ||
CLM5_CRUNCEPv7 | [-] | 98.9 | -52.4 | 20.2 | 0.508 | 0.507 | 0.447 | 0.966 | 0.542 | 0.582 | ||
CLM5_GSWP3v1 | [-] | 93.9 | -57.4 | 27.3 | 0.508 | 0.484 | 0.417 | 0.966 | 0.504 | 0.558 |
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] |
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Benchmark | [-] | 187. | ||||||||||
CLM4.5_CRUNCEPv7 | [-] | 187. | 0.608 | 30.3 | 0.290 | 0.822 | 0.751 | 0.981 | 0.886 | 0.838 | ||
CLM4.5_GSWP3v1 | [-] | 174. | -13.3 | 28.4 | 0.00 | 0.873 | 0.751 | 1.00 | 0.855 | 0.846 | ||
CLM4_CRUNCEPv7 | [-] | 187. | 0.608 | 30.3 | 0.290 | 0.822 | 0.751 | 0.981 | 0.886 | 0.838 | ||
CLM4_GSWP3v1 | [-] | 174. | -13.3 | 28.4 | 0.00 | 0.873 | 0.751 | 1.00 | 0.855 | 0.846 | ||
CLM5_CRUNCEPv7 | [-] | 187. | 0.608 | 30.3 | 0.290 | 0.822 | 0.751 | 0.981 | 0.886 | 0.838 | ||
CLM5_GSWP3v1 | [-] | 174. | -13.3 | 28.4 | 0.00 | 0.873 | 0.751 | 1.00 | 0.855 | 0.846 |
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] |
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Benchmark | [-] | 162. | ||||||||||
CLM4.5_CRUNCEPv7 | [-] | 162. | 0.0453 | 18.2 | 0.00 | 0.999 | 0.798 | 1.00 | 0.962 | 0.911 | ||
CLM4.5_GSWP3v1 | [-] | 147. | -14.6 | 20.2 | 0.00 | 0.834 | 0.829 | 1.00 | 0.969 | 0.892 | ||
CLM4_CRUNCEPv7 | [-] | 162. | 0.0453 | 18.2 | 0.00 | 0.999 | 0.798 | 1.00 | 0.962 | 0.911 | ||
CLM4_GSWP3v1 | [-] | 147. | -14.6 | 20.2 | 0.00 | 0.834 | 0.829 | 1.00 | 0.969 | 0.892 | ||
CLM5_CRUNCEPv7 | [-] | 162. | 0.0453 | 18.2 | 0.00 | 0.999 | 0.798 | 1.00 | 0.962 | 0.911 | ||
CLM5_GSWP3v1 | [-] | 147. | -14.6 | 20.2 | 0.00 | 0.834 | 0.829 | 1.00 | 0.969 | 0.892 |
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] |
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Benchmark | [-] | 193. | ||||||||||
CLM4.5_CRUNCEPv7 | [-] | 188. | -5.01 | 19.0 | 0.00 | 0.898 | 0.814 | 1.00 | 0.951 | 0.895 | ||
CLM4.5_GSWP3v1 | [-] | 190. | -3.52 | 14.9 | 0.00 | 0.944 | 0.832 | 1.00 | 0.959 | 0.914 | ||
CLM4_CRUNCEPv7 | [-] | 188. | -5.01 | 19.0 | 0.00 | 0.898 | 0.814 | 1.00 | 0.951 | 0.895 | ||
CLM4_GSWP3v1 | [-] | 190. | -3.52 | 14.9 | 0.00 | 0.944 | 0.832 | 1.00 | 0.959 | 0.914 | ||
CLM5_CRUNCEPv7 | [-] | 188. | -5.01 | 19.0 | 0.00 | 0.898 | 0.814 | 1.00 | 0.951 | 0.895 | ||
CLM5_GSWP3v1 | [-] | 190. | -3.52 | 14.9 | 0.00 | 0.944 | 0.832 | 1.00 | 0.959 | 0.914 |
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] |
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Benchmark | [-] | 195. | ||||||||||
CLM4.5_CRUNCEPv7 | [-] | 209. | 13.4 | 31.2 | 2.05 | 0.379 | 0.217 | 0.745 | 0.889 | 0.489 | ||
CLM4.5_GSWP3v1 | [-] | 201. | 5.34 | 25.7 | 3.07 | 0.679 | 0.152 | 0.494 | 0.908 | 0.477 | ||
CLM4_CRUNCEPv7 | [-] | 209. | 13.4 | 31.2 | 2.05 | 0.379 | 0.217 | 0.745 | 0.889 | 0.489 | ||
CLM4_GSWP3v1 | [-] | 201. | 5.34 | 25.7 | 3.07 | 0.679 | 0.152 | 0.494 | 0.908 | 0.477 | ||
CLM5_CRUNCEPv7 | [-] | 209. | 13.4 | 31.2 | 2.05 | 0.379 | 0.217 | 0.745 | 0.889 | 0.489 | ||
CLM5_GSWP3v1 | [-] | 201. | 5.34 | 25.7 | 3.07 | 0.679 | 0.152 | 0.494 | 0.908 | 0.477 |
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] |
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Benchmark | [-] | 208. | ||||||||||
CLM4.5_CRUNCEPv7 | [-] | 212. | 3.23 | 23.6 | 1.53 | 0.842 | 0.596 | 0.794 | 0.800 | 0.726 | ||
CLM4.5_GSWP3v1 | [-] | 206. | -1.94 | 22.3 | 2.03 | 0.863 | 0.604 | 0.640 | 0.807 | 0.704 | ||
CLM4_CRUNCEPv7 | [-] | 212. | 3.23 | 23.6 | 1.53 | 0.842 | 0.596 | 0.794 | 0.800 | 0.726 | ||
CLM4_GSWP3v1 | [-] | 206. | -1.94 | 22.3 | 2.03 | 0.863 | 0.604 | 0.640 | 0.807 | 0.704 | ||
CLM5_CRUNCEPv7 | [-] | 212. | 3.23 | 23.6 | 1.53 | 0.842 | 0.596 | 0.794 | 0.800 | 0.726 | ||
CLM5_GSWP3v1 | [-] | 206. | -1.94 | 22.3 | 2.03 | 0.863 | 0.604 | 0.640 | 0.807 | 0.704 |
altitude: BSRN
site_name: ASP,BAR,BER,BIL,BON,BOS,BOU,BRB,CAB,CAM,CAR,CLH,CNR,COC,DAA,DAR,DOM,DRA,DWN,E13,EUR,FLO,FPE,FUA,GCR,GVN,ILO,ISH,IZA,KWA,LAU,LER,LIN,MAN,MNM,NAU,NYA,PAL,PAY,PSU,PTR,REG,RLM,SAP,SBO,SMS,SOV,SPO,SXF,SYO,TAM,TAT,TIK,TOR,XIA
creation_date: Sun Jun 22 23:48:40 PDT 2014
Conventions: Please contact Prof. James Randerson (Email: jranders@uci.edu) or Dr. Mingquan Mu (mmu@uci.edu) for any question
source_file: This product is generated from monthly WRMC.BSRN observations
title: derived WRMC BSRN
Approach: First I used BSRN Toolbox to extract swdn (surface downward shortwave radiation) from raw data files, and saved the data in ascii format, then I organized all site data together for each month and year and saved them in a netcdf file.
Temporal resolution: monthly
General information: This product was derived from WRMC-BSRN radiation dataset.
Spatial resolution: site observations
Derived data code: http://redwood.ess.uci.edu/mingquan/www/ILAMB/Download/CODES/CODES/subroutines/convert/convert-WRMC.BSRN.ncl