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.
LMBIRCH	[-]	227.		1.76	17.6	0.508		0.954	0.628	0.966	0.826	0.801
PPE	[-]	227.		1.76	17.6	0.508		0.954	0.628	0.966	0.826	0.801
PPE_FINAL	[-]	227.		1.76	17.6	0.508		0.954	0.628	0.966	0.826	0.801
R15	[-]	227.		1.76	17.6	0.508		0.954	0.628	0.966	0.826	0.801

	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.
LMBIRCH	[-]	92.5		-57.5	61.6	1.02		0.403	0.392	0.933	0.682	0.560
PPE	[-]	92.5		-57.5	61.6	1.02		0.403	0.392	0.933	0.682	0.560
PPE_FINAL	[-]	92.5		-57.5	61.6	1.02		0.403	0.392	0.933	0.682	0.560
R15	[-]	92.5		-57.5	61.6	1.02		0.403	0.392	0.933	0.682	0.560

	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.
LMBIRCH	[-]	208.		11.2	25.7	1.03		0.584	0.310	0.930	0.848	0.596
PPE	[-]	208.		11.2	25.7	1.03		0.584	0.310	0.930	0.848	0.596
PPE_FINAL	[-]	208.		11.2	25.7	1.03		0.584	0.310	0.930	0.848	0.596
R15	[-]	208.		11.2	25.7	1.03		0.584	0.310	0.930	0.848	0.596

	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.
LMBIRCH	[-]	122.		-0.879	21.4	0.00		0.954	0.765	1.00	0.982	0.893
PPE	[-]	122.		-0.879	21.4	0.00		0.954	0.765	1.00	0.982	0.893
PPE_FINAL	[-]	122.		-0.879	21.4	0.00		0.954	0.765	1.00	0.982	0.893
R15	[-]	122.		-0.879	21.4	0.00		0.954	0.765	1.00	0.982	0.893

	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.
LMBIRCH	[-]	229.		14.8	24.8	0.517		0.653	0.605	0.965	0.943	0.754
PPE	[-]	229.		14.8	24.8	0.517		0.653	0.605	0.965	0.943	0.754
PPE_FINAL	[-]	229.		14.8	24.8	0.517		0.653	0.605	0.965	0.943	0.754
R15	[-]	229.		14.8	24.8	0.517		0.653	0.605	0.965	0.943	0.754

	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.
LMBIRCH	[-]	139.		0.858	22.7	0.352		0.888	0.773	0.974	0.916	0.865
PPE	[-]	139.		0.858	22.7	0.352		0.888	0.773	0.974	0.916	0.865
PPE_FINAL	[-]	139.		0.858	22.7	0.352		0.888	0.773	0.974	0.916	0.865
R15	[-]	139.		0.858	22.7	0.352		0.888	0.773	0.974	0.916	0.865

	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.
LMBIRCH	[-]	152.		2.40	23.5	0.431		0.872	0.747	0.966	0.922	0.851
PPE	[-]	152.		2.40	23.5	0.431		0.872	0.747	0.966	0.922	0.851
PPE_FINAL	[-]	152.		2.40	23.5	0.431		0.872	0.747	0.966	0.922	0.851
R15	[-]	152.		2.40	23.5	0.431		0.872	0.747	0.966	0.922	0.851

	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.
LMBIRCH	[-]	226.		-24.7	31.5	0.00		0.746	0.757	1.00	0.918	0.835
PPE	[-]	226.		-24.7	31.5	0.00		0.746	0.757	1.00	0.918	0.835
PPE_FINAL	[-]	226.		-24.7	31.5	0.00		0.746	0.757	1.00	0.918	0.835
R15	[-]	226.		-24.7	31.5	0.00		0.746	0.757	1.00	0.918	0.835

	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.
LMBIRCH	[-]	167.		7.23	24.5	0.437		0.848	0.735	0.965	0.936	0.844
PPE	[-]	167.		7.23	24.5	0.437		0.848	0.735	0.965	0.936	0.844
PPE_FINAL	[-]	167.		7.23	24.5	0.437		0.848	0.735	0.965	0.936	0.844
R15	[-]	167.		7.23	24.5	0.437		0.848	0.735	0.965	0.936	0.844

	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.
LMBIRCH	[-]	134.		3.97	21.0	0.799		0.921	0.776	0.922	0.955	0.870
PPE	[-]	134.		3.97	21.0	0.799		0.921	0.776	0.922	0.955	0.870
PPE_FINAL	[-]	134.		3.97	21.0	0.799		0.921	0.776	0.922	0.955	0.870
R15	[-]	134.		3.97	21.0	0.799		0.921	0.776	0.922	0.955	0.870

	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.
LMBIRCH	[-]	199.		3.12	22.7	0.339		0.913	0.786	0.978	0.947	0.882
PPE	[-]	199.		3.12	22.7	0.339		0.913	0.786	0.978	0.947	0.882
PPE_FINAL	[-]	199.		3.12	22.7	0.339		0.913	0.786	0.978	0.947	0.882
R15	[-]	199.		3.12	22.7	0.339		0.913	0.786	0.978	0.947	0.882

	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.
LMBIRCH	[-]	208.		22.9	38.0	0.00		0.534	0.470	1.00	0.735	0.642
PPE	[-]	208.		22.9	38.0	0.00		0.534	0.470	1.00	0.735	0.642
PPE_FINAL	[-]	208.		22.9	38.0	0.00		0.534	0.470	1.00	0.735	0.642
R15	[-]	208.		22.9	38.0	0.00		0.534	0.470	1.00	0.735	0.642

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

  Title:

derived FluxNet

  Source_file:

This product is generated from monthly FluxNet observations

  Conventions:

Please contact Prof. James Randerson (Email: jranders@uci.edu) or Dr. Mingquan Mu (mmu@uci.edu) for any question

  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

  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