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	[-]	131.
D104	[-]	90.6		-47.3	49.0	0.00		0.0869	0.583	1.00	0.759	0.602
LMBIRCH4	[-]	92.5		-47.1	48.9	0.00		0.0874	0.580	1.00	0.735	0.596
PHSParam	[-]	90.7		-47.4	48.5	0.00		0.0866	0.599	1.00	0.769	0.611
PPE	[-]	91.0		-45.0	46.1	0.00		0.0946	0.641	1.00	0.821	0.640
R15	[-]	90.1		-47.5	49.2	0.00		0.0864	0.586	1.00	0.744	0.600

	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	[-]	54.1
D104	[-]	25.2		-28.9	26.5	1.02		0.570	0.571	0.933	0.995	0.728
LMBIRCH4	[-]	24.7		-29.4	26.8	1.02		0.564	0.571	0.933	0.995	0.727
PHSParam	[-]	24.9		-29.2	26.6	1.02		0.566	0.571	0.933	0.995	0.727
PPE	[-]	23.2		-30.9	27.1	1.02		0.548	0.581	0.933	0.971	0.723
R15	[-]	26.5		-27.6	26.7	1.02		0.584	0.563	0.933	0.998	0.728

	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	[-]	147.
D104	[-]	140.		-6.50	23.6	0.00		0.709	0.306	1.00	0.702	0.604
LMBIRCH4	[-]	140.		-6.46	23.6	0.00		0.710	0.306	1.00	0.702	0.605
PHSParam	[-]	141.		-5.90	23.4	0.00		0.731	0.305	1.00	0.704	0.609
PPE	[-]	132.		-14.4	26.9	0.00		0.466	0.311	1.00	0.677	0.553
R15	[-]	140.		-6.80	23.7	0.00		0.697	0.306	1.00	0.701	0.602

	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	[-]	42.7
D104	[-]	50.1		4.66	35.1	0.00		0.456	0.508	1.00	0.392	0.573
LMBIRCH4	[-]	49.9		4.43	35.0	0.00		0.458	0.509	1.00	0.394	0.574
PHSParam	[-]	49.6		4.43	35.0	0.00		0.458	0.509	1.00	0.393	0.574
PPE	[-]	46.3		0.101	32.6	0.00		0.499	0.528	1.00	0.425	0.596
R15	[-]	50.2		4.96	35.3	0.00		0.454	0.507	1.00	0.392	0.572

	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	[-]	119.
D104	[-]	119.		0.152	26.3	0.00		0.609	0.603	1.00	0.934	0.750
LMBIRCH4	[-]	119.		0.0227	26.0	0.00		0.616	0.603	1.00	0.934	0.751
PHSParam	[-]	118.		-0.893	24.4	0.00		0.647	0.615	1.00	0.918	0.759
PPE	[-]	115.		-3.91	24.7	0.00		0.653	0.619	1.00	0.890	0.756
R15	[-]	119.		-0.234	26.1	0.00		0.613	0.606	1.00	0.931	0.751

	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	[-]	67.2
D104	[-]	59.2		-8.72	28.1	0.319		0.741	0.680	0.977	0.834	0.782
LMBIRCH4	[-]	59.2		-8.66	27.8	0.319		0.743	0.681	0.977	0.837	0.784
PHSParam	[-]	59.7		-8.20	27.6	0.319		0.746	0.681	0.977	0.837	0.784
PPE	[-]	57.2		-10.5	27.8	0.419		0.731	0.690	0.970	0.850	0.786
R15	[-]	59.1		-8.81	28.1	0.319		0.742	0.680	0.977	0.834	0.782

	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	[-]	74.8
D104	[-]	67.6		-7.70	27.5	0.427		0.739	0.672	0.964	0.837	0.777
LMBIRCH4	[-]	68.2		-7.08	27.4	0.427		0.742	0.672	0.964	0.838	0.778
PHSParam	[-]	68.5		-6.81	27.2	0.427		0.745	0.673	0.964	0.838	0.778
PPE	[-]	65.3		-9.89	27.3	0.458		0.726	0.682	0.962	0.847	0.780
R15	[-]	67.9		-7.43	27.3	0.427		0.740	0.674	0.964	0.837	0.778

	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	[-]	117.
D104	[-]	65.7		-51.3	56.3	1.02		0.388	0.615	0.933	0.750	0.660
LMBIRCH4	[-]	65.7		-51.3	56.3	1.02		0.388	0.614	0.933	0.750	0.660
PHSParam	[-]	67.2		-49.9	54.2	1.02		0.399	0.628	0.933	0.771	0.672
PPE	[-]	66.5		-50.5	54.8	1.02		0.394	0.627	0.933	0.765	0.669
R15	[-]	65.6		-51.4	56.3	1.02		0.388	0.614	0.933	0.751	0.660

	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	[-]	85.0
D104	[-]	80.2		-4.84	27.5	0.814		0.814	0.660	0.928	0.823	0.777
LMBIRCH4	[-]	81.1		-3.90	27.4	0.814		0.819	0.659	0.928	0.823	0.778
PHSParam	[-]	81.2		-3.79	27.4	0.814		0.819	0.659	0.928	0.823	0.778
PPE	[-]	77.3		-7.58	27.1	0.763		0.807	0.670	0.932	0.824	0.781
R15	[-]	80.8		-4.20	27.0	0.814		0.813	0.666	0.928	0.829	0.781

	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	[-]	68.6
D104	[-]	59.8		-8.81	20.6	0.218		0.845	0.735	0.986	0.924	0.845
LMBIRCH4	[-]	59.9		-8.78	20.7	0.218		0.845	0.735	0.986	0.923	0.845
PHSParam	[-]	59.9		-8.71	20.6	0.218		0.846	0.735	0.986	0.924	0.845
PPE	[-]	55.4		-13.2	21.4	0.218		0.794	0.748	0.986	0.945	0.844
R15	[-]	60.8		-7.80	20.1	0.218		0.854	0.739	0.986	0.926	0.849

	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	[-]	82.6
D104	[-]	86.3		3.67	27.5	0.850		0.685	0.723	0.893	0.883	0.782
LMBIRCH4	[-]	93.0		10.4	29.0	0.850		0.697	0.716	0.893	0.886	0.782
PHSParam	[-]	93.3		10.7	28.9	0.850		0.697	0.717	0.893	0.887	0.782
PPE	[-]	89.2		6.61	28.8	0.681		0.688	0.720	0.904	0.881	0.782
R15	[-]	87.1		4.41	28.1	0.850		0.680	0.721	0.893	0.878	0.778

	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	[-]	117.
D104	[-]	134.		17.9	38.7	0.00		0.590	0.387	1.00	0.629	0.599
LMBIRCH4	[-]	135.		18.0	38.7	0.00		0.588	0.387	1.00	0.629	0.598
PHSParam	[-]	133.		16.5	37.2	0.00		0.614	0.395	1.00	0.610	0.603
PPE	[-]	128.		11.1	34.6	0.00		0.721	0.395	1.00	0.598	0.622
R15	[-]	134.		17.7	38.5	0.00		0.593	0.387	1.00	0.629	0.599

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 11:35:13 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