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.
LMBIRCH	[-]	92.9		-45.0	46.1	0.00		0.0947	0.641	1.00	0.821	0.639
PPE	[-]	92.6		-43.4	44.8	0.00		0.100	0.631	1.00	0.824	0.637
PPE_FINAL	[-]	93.5		-42.0	43.4	0.00		0.106	0.635	1.00	0.809	0.637
PPE_FINAL3	[-]	92.8		-42.9	44.1	0.00		0.102	0.651	1.00	0.839	0.649
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
LMBIRCH	[-]	23.2		-30.9	27.1	1.02		0.547	0.581	0.933	0.971	0.723
PPE	[-]	18.7		-35.4	28.6	1.02		0.501	0.614	0.933	0.905	0.713
PPE_FINAL	[-]	20.7		-33.4	27.1	1.02		0.521	0.605	0.933	0.941	0.721
PPE_FINAL3	[-]	20.1		-34.0	27.4	1.02		0.515	0.612	0.933	0.917	0.718
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.
LMBIRCH	[-]	133.		-14.1	26.7	0.00		0.474	0.310	1.00	0.676	0.554
PPE	[-]	133.		-13.7	26.6	0.00		0.484	0.309	1.00	0.679	0.556
PPE_FINAL	[-]	133.		-13.7	26.6	0.00		0.485	0.309	1.00	0.679	0.557
PPE_FINAL3	[-]	132.		-14.9	27.1	0.00		0.454	0.310	1.00	0.674	0.550
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
LMBIRCH	[-]	46.4		0.101	32.6	0.00		0.499	0.528	1.00	0.425	0.596
PPE	[-]	50.2		5.74	33.0	0.00		0.447	0.532	1.00	0.445	0.591
PPE_FINAL	[-]	48.2		6.71	33.5	0.00		0.439	0.529	1.00	0.443	0.588
PPE_FINAL3	[-]	50.6		5.40	33.0	0.00		0.450	0.531	1.00	0.449	0.592
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.
LMBIRCH	[-]	116.		-3.13	24.2	0.00		0.662	0.620	1.00	0.881	0.757
PPE	[-]	118.		-1.11	24.7	0.00		0.651	0.608	1.00	0.856	0.744
PPE_FINAL	[-]	119.		0.382	24.2	0.00		0.642	0.622	1.00	0.866	0.750
PPE_FINAL3	[-]	118.		-0.671	24.3	0.00		0.641	0.622	1.00	0.863	0.750
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
LMBIRCH	[-]	57.7		-10.0	27.7	0.419		0.735	0.689	0.972	0.849	0.787
PPE	[-]	58.3		-9.51	27.5	0.439		0.735	0.692	0.971	0.858	0.790
PPE_FINAL	[-]	59.9		-7.94	26.7	0.439		0.748	0.693	0.971	0.856	0.792
PPE_FINAL3	[-]	59.9		-7.87	26.6	0.439		0.752	0.694	0.971	0.856	0.793
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
LMBIRCH	[-]	66.0		-9.29	27.2	0.448		0.732	0.682	0.964	0.847	0.781
PPE	[-]	65.8		-9.50	27.2	0.458		0.727	0.682	0.963	0.851	0.781
PPE_FINAL	[-]	67.3		-7.85	26.7	0.458		0.740	0.683	0.963	0.849	0.784
PPE_FINAL3	[-]	67.3		-7.93	26.5	0.458		0.741	0.685	0.963	0.851	0.785
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.
LMBIRCH	[-]	67.8		-49.2	53.6	1.02		0.404	0.628	0.933	0.761	0.671
PPE	[-]	66.2		-50.8	56.6	1.02		0.392	0.585	0.933	0.756	0.650
PPE_FINAL	[-]	68.5		-48.5	53.3	1.02		0.409	0.615	0.933	0.762	0.667
PPE_FINAL3	[-]	68.4		-48.6	53.3	1.02		0.408	0.615	0.933	0.762	0.667
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
LMBIRCH	[-]	78.4		-6.36	26.9	0.712		0.819	0.669	0.935	0.823	0.783
PPE	[-]	75.1		-9.78	27.8	0.712		0.790	0.668	0.935	0.826	0.778
PPE_FINAL	[-]	77.7		-7.15	27.2	0.712		0.820	0.666	0.935	0.821	0.782
PPE_FINAL3	[-]	78.7		-6.07	26.7	0.712		0.825	0.671	0.935	0.825	0.785
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
LMBIRCH	[-]	55.5		-13.2	21.4	0.218		0.795	0.748	0.986	0.945	0.844
PPE	[-]	56.9		-11.7	21.3	0.218		0.809	0.744	0.986	0.940	0.845
PPE_FINAL	[-]	57.5		-11.1	20.8	0.218		0.817	0.746	0.986	0.944	0.848
PPE_FINAL3	[-]	56.4		-12.2	21.1	0.218		0.805	0.746	0.986	0.944	0.845
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
LMBIRCH	[-]	90.2		7.55	29.3	0.681		0.692	0.718	0.904	0.886	0.784
PPE	[-]	89.6		6.98	27.9	0.681		0.700	0.726	0.904	0.884	0.788
PPE_FINAL	[-]	91.3		8.70	28.5	0.681		0.698	0.722	0.904	0.879	0.785
PPE_FINAL3	[-]	89.7		7.11	27.9	0.681		0.698	0.728	0.904	0.888	0.789
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.
LMBIRCH	[-]	128.		11.2	34.6	0.00		0.719	0.395	1.00	0.598	0.621
PPE	[-]	125.		8.55	33.9	0.00		0.777	0.391	1.00	0.599	0.632
PPE_FINAL	[-]	129.		12.2	35.2	0.00		0.698	0.394	1.00	0.611	0.620
PPE_FINAL3	[-]	127.		10.6	34.3	0.00		0.731	0.396	1.00	0.600	0.625
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