Download Data |
Period Mean (original grids) [W m-2] |
Bias [W m-2] |
RMSE [W m-2] |
Phase Shift [months] |
Bias Score [1] |
RMSE Score [1] |
Seasonal Cycle Score [1] |
Overall Score [1] |
|||
---|---|---|---|---|---|---|---|---|---|---|---|
Benchmark | [-] | 69.0 | |||||||||
CLM4.0 | [-] | 73.7 | 4.61 | 22.2 | 1.02 | 0.86 | 0.49 | 0.90 | 0.68 | ||
CLM4.5 | [-] | 69.8 | 0.706 | 23.6 | 1.02 | 0.92 | 0.46 | 0.90 | 0.68 | ||
CLM5.0 | [-] | 71.4 | 2.37 | 22.3 | 0.517 | 0.66 | 0.53 | 0.97 | 0.67 |
Download Data |
Period Mean (original grids) [W m-2] |
Bias [W m-2] |
RMSE [W m-2] |
Phase Shift [months] |
Bias Score [1] |
RMSE Score [1] |
Seasonal Cycle Score [1] |
Overall Score [1] |
|||
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Benchmark | [-] | 19.4 | |||||||||
CLM4.0 | [-] | 18.6 | -0.734 | 10.9 | 0.00 | 0.96 | 0.56 | 1.0 | 0.77 | ||
CLM4.5 | [-] | 24.4 | 5.01 | 18.1 | 0.00 | 0.77 | 0.41 | 1.0 | 0.65 | ||
CLM5.0 | [-] | 24.6 | 5.24 | 22.8 | 0.00 | 0.76 | 0.32 | 1.0 | 0.60 |
Download Data |
Period Mean (original grids) [W m-2] |
Bias [W m-2] |
RMSE [W m-2] |
Phase Shift [months] |
Bias Score [1] |
RMSE Score [1] |
Seasonal Cycle Score [1] |
Overall Score [1] |
|||
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Benchmark | [-] | 22.2 | |||||||||
CLM4.0 | [-] | 26.0 | 3.84 | 11.7 | 0.00 | 0.80 | 0.63 | 1.0 | 0.77 | ||
CLM4.5 | [-] | 33.8 | 11.6 | 21.2 | 0.00 | 0.62 | 0.50 | 1.0 | 0.65 | ||
CLM5.0 | [-] | 32.0 | 9.79 | 20.0 | 0.00 | 0.65 | 0.50 | 1.0 | 0.66 |
Download Data |
Period Mean (original grids) [W m-2] |
Bias [W m-2] |
RMSE [W m-2] |
Phase Shift [months] |
Bias Score [1] |
RMSE Score [1] |
Seasonal Cycle Score [1] |
Overall Score [1] |
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Benchmark | [-] | 63.9 | |||||||||
CLM4.0 | [-] | 86.4 | 22.5 | 32.2 | 0.00 | 0.52 | 0.43 | 1.0 | 0.60 | ||
CLM4.5 | [-] | 79.6 | 15.7 | 27.5 | 0.00 | 0.67 | 0.46 | 1.0 | 0.65 | ||
CLM5.0 | [-] | 70.1 | 6.27 | 23.6 | 0.00 | 0.72 | 0.49 | 1.0 | 0.68 |
Download Data |
Period Mean (original grids) [W m-2] |
Bias [W m-2] |
RMSE [W m-2] |
Phase Shift [months] |
Bias Score [1] |
RMSE Score [1] |
Seasonal Cycle Score [1] |
Overall Score [1] |
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Benchmark | [-] | 27.7 | |||||||||
CLM4.0 | [-] | 33.3 | 5.63 | 20.1 | 0.00 | 0.69 | 0.41 | 1.0 | 0.63 | ||
CLM4.5 | [-] | 32.8 | 5.17 | 20.6 | 0.00 | 0.61 | 0.41 | 1.0 | 0.61 | ||
CLM5.0 | [-] | 29.2 | 1.54 | 21.3 | 0.508 | 0.53 | 0.40 | 0.98 | 0.58 |
Download Data |
Period Mean (original grids) [W m-2] |
Bias [W m-2] |
RMSE [W m-2] |
Phase Shift [months] |
Bias Score [1] |
RMSE Score [1] |
Seasonal Cycle Score [1] |
Overall Score [1] |
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Benchmark | [-] | 97.8 | |||||||||
CLM4.0 | [-] | 140. | 42.1 | 46.1 | 4.07 | 0.035 | 0.29 | 0.25 | 0.22 | ||
CLM4.5 | [-] | 106. | 8.61 | 16.6 | 4.07 | 0.50 | 0.35 | 0.25 | 0.36 | ||
CLM5.0 | [-] | 96.5 | -1.32 | 13.6 | 4.07 | 0.90 | 0.34 | 0.25 | 0.45 |
Download Data |
Period Mean (original grids) [W m-2] |
Bias [W m-2] |
RMSE [W m-2] |
Phase Shift [months] |
Bias Score [1] |
RMSE Score [1] |
Seasonal Cycle Score [1] |
Overall Score [1] |
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Benchmark | [-] | 30.9 | |||||||||
CLM4.0 | [-] | 37.9 | 6.99 | 19.2 | 0.803 | 0.73 | 0.52 | 0.94 | 0.68 | ||
CLM4.5 | [-] | 39.3 | 8.37 | 19.4 | 0.763 | 0.73 | 0.52 | 0.93 | 0.67 | ||
CLM5.0 | [-] | 35.9 | 5.01 | 18.4 | 0.646 | 0.76 | 0.51 | 0.94 | 0.68 |
Download Data |
Period Mean (original grids) [W m-2] |
Bias [W m-2] |
RMSE [W m-2] |
Phase Shift [months] |
Bias Score [1] |
RMSE Score [1] |
Seasonal Cycle Score [1] |
Overall Score [1] |
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Benchmark | [-] | 33.7 | |||||||||
CLM4.0 | [-] | 42.5 | 8.71 | 20.9 | 0.665 | 0.67 | 0.49 | 0.92 | 0.64 | ||
CLM4.5 | [-] | 43.1 | 9.35 | 21.4 | 0.646 | 0.70 | 0.49 | 0.91 | 0.65 | ||
CLM5.0 | [-] | 39.0 | 5.22 | 19.6 | 0.499 | 0.76 | 0.50 | 0.94 | 0.67 |
Download Data |
Period Mean (original grids) [W m-2] |
Bias [W m-2] |
RMSE [W m-2] |
Phase Shift [months] |
Bias Score [1] |
RMSE Score [1] |
Seasonal Cycle Score [1] |
Overall Score [1] |
|||
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Benchmark | [-] | 31.4 | |||||||||
CLM4.0 | [-] | 41.1 | 9.68 | 21.8 | 0.407 | 0.67 | 0.34 | 0.96 | 0.58 | ||
CLM4.5 | [-] | 43.4 | 11.9 | 19.5 | 0.407 | 0.62 | 0.40 | 0.96 | 0.60 | ||
CLM5.0 | [-] | 42.2 | 10.8 | 21.0 | 0.813 | 0.65 | 0.35 | 0.91 | 0.57 |
Download Data |
Period Mean (original grids) [W m-2] |
Bias [W m-2] |
RMSE [W m-2] |
Phase Shift [months] |
Bias Score [1] |
RMSE Score [1] |
Seasonal Cycle Score [1] |
Overall Score [1] |
|||
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Benchmark | [-] | 25.5 | |||||||||
CLM4.0 | [-] | 47.0 | 21.5 | 29.1 | 1.47 | 0.56 | 0.33 | 0.86 | 0.52 | ||
CLM4.5 | [-] | 46.2 | 20.7 | 31.5 | 1.47 | 0.55 | 0.26 | 0.86 | 0.49 | ||
CLM5.0 | [-] | 39.6 | 14.1 | 22.1 | 0.983 | 0.62 | 0.35 | 0.94 | 0.56 |
Download Data |
Period Mean (original grids) [W m-2] |
Bias [W m-2] |
RMSE [W m-2] |
Phase Shift [months] |
Bias Score [1] |
RMSE Score [1] |
Seasonal Cycle Score [1] |
Overall Score [1] |
|||
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Benchmark | [-] | 101. | |||||||||
CLM4.0 | [-] | 116. | 14.4 | 33.2 | 2.05 | 0.29 | 0.10 | 0.75 | 0.31 | ||
CLM4.5 | [-] | 103. | 2.07 | 18.6 | 2.05 | 0.84 | 0.22 | 0.75 | 0.50 | ||
CLM5.0 | [-] | 100. | -0.762 | 12.7 | 1.02 | 0.94 | 0.33 | 0.93 | 0.63 |
Download Data |
Period Mean (original grids) [W m-2] |
Bias [W m-2] |
RMSE [W m-2] |
Phase Shift [months] |
Bias Score [1] |
RMSE Score [1] |
Seasonal Cycle Score [1] |
Overall Score [1] |
|||
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Benchmark | [-] | 35.8 | |||||||||
CLM4.0 | [-] | 47.9 | 12.1 | 25.3 | 0.604 | 0.64 | 0.51 | 0.92 | 0.65 | ||
CLM4.5 | [-] | 46.3 | 10.6 | 24.5 | 0.567 | 0.66 | 0.52 | 0.93 | 0.66 | ||
CLM5.0 | [-] | 40.1 | 4.29 | 21.1 | 0.341 | 0.78 | 0.53 | 0.98 | 0.71 |
_NCProperties: version=1|netcdflibversion=4.4.1|hdf5libversion=1.8.17
IGBP_class: 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: Fri Nov 1 11:24:12 PDT 2013
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