Australia Boreal Asia Boreal North America Central America Central Asia Equatorial Asia Europe Globe Middle East Southern Hemisphere Africa Southern Hemisphere South America Temperate North America

	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.
CLM4.0	[-]	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
CLM5.0	[-]	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	[-]	118.
CLM4.0	[-]	116.		-2.29	17.9	0.00		0.97	0.81	1.0	0.98	0.91
CLM4.5	[-]	116.		-2.29	17.9	0.00		0.97	0.81	1.0	0.98	0.91
CLM5.0	[-]	116.		-2.29	17.9	0.00		0.97	0.81	1.0	0.98	0.91

	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	[-]	129.
CLM4.0	[-]	131.		1.91	21.5	1.02		0.92	0.77	0.90	0.95	0.86
CLM4.5	[-]	131.		1.91	21.5	1.02		0.92	0.77	0.90	0.95	0.86
CLM5.0	[-]	131.		1.91	21.5	1.02		0.92	0.77	0.90	0.95	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	[-]	188.
CLM4.0	[-]	197.		8.78	24.2	0.339		0.84	0.65	0.98	0.95	0.81
CLM4.5	[-]	197.		8.78	24.2	0.339		0.84	0.65	0.98	0.95	0.81
CLM5.0	[-]	197.		8.78	24.2	0.339		0.84	0.65	0.98	0.95	0.81

	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	[-]	189.
CLM4.0	[-]	176.		-13.0	27.9	0.00		0.87	0.74	1.0	0.93	0.85
CLM4.5	[-]	176.		-13.0	27.9	0.00		0.87	0.74	1.0	0.93	0.85
CLM5.0	[-]	176.		-13.0	27.9	0.00		0.87	0.74	1.0	0.93	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	[-]	197.
CLM4.0	[-]	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
CLM5.0	[-]	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	[-]	138.
CLM4.0	[-]	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
CLM5.0	[-]	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.
CLM4.0	[-]	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
CLM5.0	[-]	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	[-]	205.
CLM4.0	[-]	202.		-3.74	16.5	0.203		0.90	0.85	0.99	0.97	0.91
CLM4.5	[-]	202.		-3.74	16.5	0.203		0.90	0.85	0.99	0.97	0.91
CLM5.0	[-]	202.		-3.74	16.5	0.203		0.90	0.85	0.99	0.97	0.91

	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.
CLM4.0	[-]	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
CLM5.0	[-]	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	[-]	185.
CLM4.0	[-]	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
CLM5.0	[-]	205.		20.2	35.7	0.00		0.58	0.48	1.0	0.73	0.65

	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	[-]	162.
CLM4.0	[-]	168.		5.65	23.2	0.302		0.87	0.76	0.98	0.94	0.86
CLM4.5	[-]	168.		5.65	23.2	0.302		0.87	0.76	0.98	0.94	0.86
CLM5.0	[-]	168.		5.65	23.2	0.302		0.87	0.76	0.98	0.94	0.86

Australia Boreal Asia Boreal North America Central America Central Asia Equatorial Asia Europe Globe Middle East Northern Hemisphere Africa Northern Hemisphere South America Southeast Asia Southern Hemisphere Africa Southern Hemisphere South America Temperate North America 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

  _NCProperties: version=1|netcdflibversion=4.4.1|hdf5libversion=1.8.17

  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