Download Data |
Period Mean (original grids) [Watt/m2] |
Bias [Watt/m2] |
RMSE [Watt/m2] |
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 | [-] | 131. | ||||||||||
CLM5PHSOFF | [-] | 88.2 | -48.6 | 51.8 | 0.00 | 0.0827 | 0.509 | 1.00 | 0.700 | 0.560 | ||
CLM5PHSON | [-] | 90.0 | -46.5 | 48.8 | 0.00 | 0.0894 | 0.596 | 1.00 | 0.797 | 0.616 |
Download Data |
Period Mean (original grids) [Watt/m2] |
Bias [Watt/m2] |
RMSE [Watt/m2] |
Phase Shift [months] |
Bias Score [1] |
RMSE Score [1] |
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Overall Score [1] |
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Benchmark | [-] | 54.1 | ||||||||||
CLM5PHSOFF | [-] | 28.3 | -25.7 | 27.3 | 0.00 | 0.605 | 0.541 | 1.00 | 0.925 | 0.723 | ||
CLM5PHSON | [-] | 28.0 | -26.1 | 26.7 | 0.00 | 0.601 | 0.544 | 1.00 | 0.938 | 0.726 |
Download Data |
Period Mean (original grids) [Watt/m2] |
Bias [Watt/m2] |
RMSE [Watt/m2] |
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 | [-] | 147. | ||||||||||
CLM5PHSOFF | [-] | 133. | -14.1 | 26.6 | 4.08 | 0.473 | 0.287 | 0.244 | 0.681 | 0.394 | ||
CLM5PHSON | [-] | 132. | -14.6 | 26.8 | 4.08 | 0.461 | 0.289 | 0.244 | 0.676 | 0.392 |
Download Data |
Period Mean (original grids) [Watt/m2] |
Bias [Watt/m2] |
RMSE [Watt/m2] |
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 | [-] | 42.7 | ||||||||||
CLM5PHSOFF | [-] | 41.5 | 1.33 | 33.5 | 0.00 | 0.487 | 0.521 | 1.00 | 0.396 | 0.585 | ||
CLM5PHSON | [-] | 42.5 | 3.22 | 34.3 | 0.00 | 0.469 | 0.514 | 1.00 | 0.392 | 0.578 |
Download Data |
Period Mean (original grids) [Watt/m2] |
Bias [Watt/m2] |
RMSE [Watt/m2] |
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 | [-] | 119. | ||||||||||
CLM5PHSOFF | [-] | 114. | -4.84 | 19.2 | 0.00 | 0.804 | 0.619 | 1.00 | 0.941 | 0.797 | ||
CLM5PHSON | [-] | 118. | -0.495 | 15.9 | 0.00 | 0.938 | 0.644 | 1.00 | 0.879 | 0.821 |
Download Data |
Period Mean (original grids) [Watt/m2] |
Bias [Watt/m2] |
RMSE [Watt/m2] |
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 | [-] | 67.2 | ||||||||||
CLM5PHSOFF | [-] | 56.1 | -11.8 | 27.7 | 0.259 | 0.726 | 0.695 | 0.981 | 0.855 | 0.790 | ||
CLM5PHSON | [-] | 58.6 | -9.30 | 27.4 | 0.259 | 0.742 | 0.689 | 0.981 | 0.853 | 0.791 |
Download Data |
Period Mean (original grids) [Watt/m2] |
Bias [Watt/m2] |
RMSE [Watt/m2] |
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 | [-] | 74.8 | ||||||||||
CLM5PHSOFF | [-] | 63.3 | -11.9 | 27.3 | 0.427 | 0.725 | 0.683 | 0.959 | 0.849 | 0.780 | ||
CLM5PHSON | [-] | 66.9 | -8.22 | 26.8 | 0.407 | 0.742 | 0.681 | 0.960 | 0.849 | 0.783 |
Download Data |
Period Mean (original grids) [Watt/m2] |
Bias [Watt/m2] |
RMSE [Watt/m2] |
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 | [-] | 117. | ||||||||||
CLM5PHSOFF | [-] | 69.6 | -47.5 | 53.1 | 1.02 | 0.417 | 0.618 | 0.933 | 0.769 | 0.671 | ||
CLM5PHSON | [-] | 73.2 | -43.8 | 49.9 | 1.02 | 0.446 | 0.618 | 0.933 | 0.812 | 0.685 |
Download Data |
Period Mean (original grids) [Watt/m2] |
Bias [Watt/m2] |
RMSE [Watt/m2] |
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 | [-] | 85.0 | ||||||||||
CLM5PHSOFF | [-] | 74.3 | -10.6 | 27.4 | 0.865 | 0.789 | 0.672 | 0.925 | 0.844 | 0.781 | ||
CLM5PHSON | [-] | 81.1 | -3.64 | 26.4 | 0.814 | 0.808 | 0.676 | 0.928 | 0.846 | 0.787 |
Download Data |
Period Mean (original grids) [Watt/m2] |
Bias [Watt/m2] |
RMSE [Watt/m2] |
Phase Shift [months] |
Bias Score [1] |
RMSE Score [1] |
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Interannual Variability Score [1] |
Overall Score [1] |
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Benchmark | [-] | 68.6 | ||||||||||
CLM5PHSOFF | [-] | 58.8 | -9.83 | 20.4 | 0.218 | 0.821 | 0.746 | 0.986 | 0.927 | 0.845 | ||
CLM5PHSON | [-] | 62.1 | -6.54 | 19.8 | 0.145 | 0.850 | 0.741 | 0.990 | 0.927 | 0.850 |
Download Data |
Period Mean (original grids) [Watt/m2] |
Bias [Watt/m2] |
RMSE [Watt/m2] |
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 | [-] | 82.6 | ||||||||||
CLM5PHSOFF | [-] | 71.6 | -11.0 | 31.7 | 0.681 | 0.658 | 0.728 | 0.904 | 0.869 | 0.777 | ||
CLM5PHSON | [-] | 73.9 | -8.78 | 32.4 | 0.681 | 0.645 | 0.710 | 0.904 | 0.860 | 0.766 |
Download Data |
Period Mean (original grids) [Watt/m2] |
Bias [Watt/m2] |
RMSE [Watt/m2] |
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 | [-] | 117. | ||||||||||
CLM5PHSOFF | [-] | 106. | -10.3 | 32.6 | 0.00 | 0.738 | 0.388 | 1.00 | 0.530 | 0.609 | ||
CLM5PHSON | [-] | 131. | 14.8 | 36.8 | 0.00 | 0.646 | 0.390 | 1.00 | 0.622 | 0.609 |
altitude: EBF,SAV,WSA,WSA,EBF,EBF,ENF,ENF,ENF,ENF,GRA,GRA,DBF,CRO,GRA,WSA,EBF,EBF,ENF,DBF,ENF,SAV,CRO,CRO,CRO,CRO,EBF,DBF,GRA,GRA,DBF,DBF,DBF,OSH,ENF,EBF,DBF,ENF,DBF,ENF,DBF,ENF,ENF,WET,DBF,GRA,GRA,GRA,DBF,MF,ENF,GRA,CSH,GRA,MF,ENF,GRA,ENF,GRA,GRA,GRA,DBF,ENF,ENF,ENF,ENF,MF,ENF,ENF,DBF,CRO,DBF,GRA,MF,GRA,GRA,ENF,CRO,ENF,ENF,ENF,GRA,DBF,CRO,ENF,ENF,ENF,ENF,CRO,ENF,ENF,OSH,ENF,OSH,EBF,ENF,ENF,ENF,DBF,ENF,WET,ENF,WET,OSH
site_name: AU-Tum,ZA-Kru,BW-Ma1,AU-How,BR-Sa3,ID-Pag,US-SP1,US-SP3,US-SP2,IL-Yat,US-Aud,US-Goo,US-WBW,US-ARM,US-Var,US-Ton,PT-Mi1,PT-Esp,US-Blo,US-MMS,ES-ES1,ES-LMa,US-Bo1,US-Ne2,US-Ne1,US-Ne3,IT-Cpz,IT-Col,IT-Amp,ES-VDA,IT-Ro2,IT-Ro1,US-Ha1,IT-Pia,IT-SRo,FR-Pue,US-Bar,US-Me4,IT-Non,FR-LBr,IT-PT1,US-Ho1,US-Ho2,CA-Mer,US-UMB,IT-LMa,FR-Lq2,FR-Lq1,US-WCr,US-PFa,IT-Lav,IT-MBo,US-Los,IT-Mal,US-Syv,IT-Ren,HU-Bug,US-Wi4,CH-Oe1,HU-Mat,US-FPe,FR-Hes,CA-Qcu,CZ-BK1,CA-Qfo,DE-Bay,BE-Vie,DE-Wet,DE-Tha,DE-Hai,DE-Geb,UK-Ham,DE-Meh,BE-Bra,NL-Ca1,IE-Dri,NL-Loo,IE-Ca1,CA-SF3,CA-SF2,CA-SF1,RU-Ha1,DK-Sor,DK-Ris,CA-NS5,CA-NS1,CA-Man,CA-NS2,UK-ESa,CA-NS4,CA-NS3,CA-NS6,UK-Gri,CA-NS7,SE-Nor,SE-Sk2,RU-Zot,FI-Hyy,IS-Gun,SE-Fla,SE-Deg,FI-Sod,FI-Kaa,RU-Cok
creation_date: Wed Jul 29 11:35:13 PDT 2015
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 FluxNet observations
title: derived FluxNet
Approach: I read this variable from individual site data files, then organized those sites with valid data, and save the data in NetCDF format by each month and each year.
Temporal resolution: monthly
General information: This product was derived from site level estimates of GPP and TER from FLUXNET eddy covariance stations.
Spatial resolution: site observation
Derived data code: http://redwood.ess.uci.edu/mingquan/www/ILAMB/Download/CODES/CODES/subroutines/convert/convert-FluxNet.ncl