Africa - South Asia - East Siberia Asia - Indonesia Asia - North Central Australia Europe Globe Middle East and Sahara North America - Eastern United States North America - Southern Canada North America - Western United States South America - Amazon

	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]
Benchmark	[-]	225.
CLM4	[-]	229.		3.62	18.8	0.508		0.91	0.62	0.97	0.79	0.78
CLM4.5	[-]	229.		3.62	18.8	0.508		0.91	0.62	0.97	0.79	0.78
CLM5	[-]	229.		3.62	18.8	0.508		0.91	0.62	0.97	0.79	0.78

	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]
Benchmark	[-]	150.
CLM4	[-]	97.2		-52.7	59.6	1.02		0.43	0.38	0.93	0.65	0.56
CLM4.5	[-]	97.2		-52.7	59.6	1.02		0.43	0.38	0.93	0.65	0.56
CLM5	[-]	97.2		-52.7	59.6	1.02		0.43	0.38	0.93	0.65	0.56

	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]
Benchmark	[-]	197.
CLM4	[-]	202.		5.27	24.8	1.03		0.78	0.32	0.93	0.79	0.62
CLM4.5	[-]	202.		5.27	24.8	1.03		0.78	0.32	0.93	0.79	0.62
CLM5	[-]	202.		5.27	24.8	1.03		0.78	0.32	0.93	0.79	0.62

	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]
Benchmark	[-]	123.
CLM4	[-]	121.		-1.45	21.0	0.00		0.98	0.76	1.0	0.96	0.89
CLM4.5	[-]	121.		-1.45	21.0	0.00		0.98	0.76	1.0	0.96	0.89
CLM5	[-]	121.		-1.45	21.0	0.00		0.98	0.76	1.0	0.96	0.89

	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]
Benchmark	[-]	214.
CLM4	[-]	221.		6.63	20.2	1.02		0.80	0.62	0.93	0.94	0.78
CLM4.5	[-]	221.		6.63	20.2	1.02		0.80	0.62	0.93	0.94	0.78
CLM5	[-]	221.		6.63	20.2	1.02		0.80	0.62	0.93	0.94	0.78

	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]
Benchmark	[-]	138.
CLM4	[-]	140.		1.25	21.8	0.313		0.90	0.78	0.98	0.93	0.87
CLM4.5	[-]	140.		1.25	21.8	0.313		0.90	0.78	0.98	0.93	0.87
CLM5	[-]	140.		1.25	21.8	0.313		0.90	0.78	0.98	0.93	0.87

	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]
Benchmark	[-]	150.
CLM4	[-]	152.		2.16	22.8	0.401		0.88	0.75	0.97	0.93	0.86
CLM4.5	[-]	152.		2.16	22.8	0.401		0.88	0.75	0.97	0.93	0.86
CLM5	[-]	152.		2.16	22.8	0.401		0.88	0.75	0.97	0.93	0.86

	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]
Benchmark	[-]	251.
CLM4	[-]	226.		-25.3	31.8	0.00		0.74	0.76	1.0	0.92	0.83
CLM4.5	[-]	226.		-25.3	31.8	0.00		0.74	0.76	1.0	0.92	0.83
CLM5	[-]	226.		-25.3	31.8	0.00		0.74	0.76	1.0	0.92	0.83

	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]
Benchmark	[-]	160.
CLM4	[-]	167.		6.43	23.9	0.340		0.85	0.74	0.97	0.94	0.85
CLM4.5	[-]	167.		6.43	23.9	0.340		0.85	0.74	0.97	0.94	0.85
CLM5	[-]	167.		6.43	23.9	0.340		0.85	0.74	0.97	0.94	0.85

	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]
Benchmark	[-]	130.
CLM4	[-]	133.		3.23	21.1	0.799		0.92	0.77	0.92	0.96	0.87
CLM4.5	[-]	133.		3.23	21.1	0.799		0.92	0.77	0.92	0.96	0.87
CLM5	[-]	133.		3.23	21.1	0.799		0.92	0.77	0.92	0.96	0.87

	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]
Benchmark	[-]	196.
CLM4	[-]	199.		3.29	22.8	0.339		0.90	0.79	0.98	0.94	0.88
CLM4.5	[-]	199.		3.29	22.8	0.339		0.90	0.79	0.98	0.94	0.88
CLM5	[-]	199.		3.29	22.8	0.339		0.90	0.79	0.98	0.94	0.88

	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]
Benchmark	[-]	185.
CLM4	[-]	205.		20.2	35.7	0.00		0.58	0.48	1.0	0.73	0.65
CLM4.5	[-]	205.		20.2	35.7	0.00		0.58	0.48	1.0	0.73	0.65
CLM5	[-]	205.		20.2	35.7	0.00		0.58	0.48	1.0	0.73	0.65

Africa - Central Africa - Sahel Africa - South Asia - East Siberia Asia - Indonesia Asia - North Central Asia - South Central Asia and China Asia - Southeast Asia and India Asia - West Siberia Australia Europe Globe Middle East and Sahara North America - Alaska and Northern Canada North America - Central America North America - Eastern United States North America - Southern Canada North America - Western United States South America - Amazon South America - Southeast South America - Southwest Temporally integrated period mean Temporally integrated period mean bias Temporally integrated period mean bias score Temporally integrated period mean max month Temporally integrated mean phase shift Temporally integrated mean phase shift score Temporally integrated period mean rmse Temporally integrated period mean rmse score Interannual variability Interannual variability score Spatially integrated regional mean cycle Spatially integrated regional mean detrended cycle Spatially integrated regional mean

  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 11:38:05 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