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.
CLM4.5_CRUNCEPv7	[-]	235.		10.2	27.0	1.02		0.646	0.636	0.873	0.900	0.738
CLM4.5_GSWP3v1	[-]	229.		3.62	18.8	0.508		0.908	0.621	0.966	0.792	0.782
CLM4_CRUNCEPv7	[-]	235.		10.2	27.0	1.02		0.646	0.636	0.873	0.900	0.738
CLM4_GSWP3v1	[-]	229.		3.62	18.8	0.508		0.908	0.621	0.966	0.792	0.782
CLM5_CRUNCEPv7	[-]	235.		10.2	27.0	1.02		0.646	0.636	0.873	0.900	0.738
CLM5_GSWP3v1	[-]	229.		3.62	18.8	0.508		0.908	0.621	0.966	0.792	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	[-]	150.
CLM4.5_CRUNCEPv7	[-]	102.		-47.8	59.4	1.02		0.470	0.354	0.933	0.638	0.550
CLM4.5_GSWP3v1	[-]	97.2		-52.7	59.6	1.02		0.435	0.384	0.933	0.654	0.558
CLM4_CRUNCEPv7	[-]	102.		-47.8	59.4	1.02		0.470	0.354	0.933	0.638	0.550
CLM4_GSWP3v1	[-]	97.2		-52.7	59.6	1.02		0.435	0.384	0.933	0.654	0.558
CLM5_CRUNCEPv7	[-]	102.		-47.8	59.4	1.02		0.470	0.354	0.933	0.638	0.550
CLM5_GSWP3v1	[-]	97.2		-52.7	59.6	1.02		0.435	0.384	0.933	0.654	0.558

	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.
CLM4.5_CRUNCEPv7	[-]	214.		17.4	28.9	4.07		0.432	0.352	0.248	0.636	0.404
CLM4.5_GSWP3v1	[-]	202.		5.27	24.8	1.03		0.775	0.316	0.930	0.785	0.625
CLM4_CRUNCEPv7	[-]	214.		17.4	28.9	4.07		0.432	0.352	0.248	0.636	0.404
CLM4_GSWP3v1	[-]	202.		5.27	24.8	1.03		0.775	0.316	0.930	0.785	0.625
CLM5_CRUNCEPv7	[-]	214.		17.4	28.9	4.07		0.432	0.352	0.248	0.636	0.404
CLM5_GSWP3v1	[-]	202.		5.27	24.8	1.03		0.775	0.316	0.930	0.785	0.625

	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.
CLM4.5_CRUNCEPv7	[-]	131.		7.85	28.6	0.00		0.902	0.729	1.00	0.928	0.857
CLM4.5_GSWP3v1	[-]	121.		-1.45	21.0	0.00		0.983	0.761	1.00	0.964	0.894
CLM4_CRUNCEPv7	[-]	131.		7.85	28.6	0.00		0.902	0.729	1.00	0.928	0.857
CLM4_GSWP3v1	[-]	121.		-1.45	21.0	0.00		0.983	0.761	1.00	0.964	0.894
CLM5_CRUNCEPv7	[-]	131.		7.85	28.6	0.00		0.902	0.729	1.00	0.928	0.857
CLM5_GSWP3v1	[-]	121.		-1.45	21.0	0.00		0.983	0.761	1.00	0.964	0.894

	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.
CLM4.5_CRUNCEPv7	[-]	221.		6.97	22.9	0.517		0.898	0.598	0.965	0.966	0.805
CLM4.5_GSWP3v1	[-]	221.		6.63	20.2	1.02		0.802	0.620	0.932	0.937	0.782
CLM4_CRUNCEPv7	[-]	221.		6.97	22.9	0.517		0.898	0.598	0.965	0.966	0.805
CLM4_GSWP3v1	[-]	221.		6.63	20.2	1.02		0.802	0.620	0.932	0.937	0.782
CLM5_CRUNCEPv7	[-]	221.		6.97	22.9	0.517		0.898	0.598	0.965	0.966	0.805
CLM5_GSWP3v1	[-]	221.		6.63	20.2	1.02		0.802	0.620	0.932	0.937	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	[-]	138.
CLM4.5_CRUNCEPv7	[-]	160.		21.8	34.9	0.332		0.742	0.752	0.976	0.893	0.823
CLM4.5_GSWP3v1	[-]	140.		1.25	21.8	0.313		0.900	0.778	0.977	0.928	0.872
CLM4_CRUNCEPv7	[-]	160.		21.8	34.9	0.332		0.742	0.752	0.976	0.893	0.823
CLM4_GSWP3v1	[-]	140.		1.25	21.8	0.313		0.900	0.778	0.977	0.928	0.872
CLM5_CRUNCEPv7	[-]	160.		21.8	34.9	0.332		0.742	0.752	0.976	0.893	0.823
CLM5_GSWP3v1	[-]	140.		1.25	21.8	0.313		0.900	0.778	0.977	0.928	0.872

	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.
CLM4.5_CRUNCEPv7	[-]	167.		17.8	33.0	0.509		0.753	0.727	0.957	0.897	0.812
CLM4.5_GSWP3v1	[-]	152.		2.16	22.8	0.401		0.883	0.751	0.968	0.927	0.856
CLM4_CRUNCEPv7	[-]	167.		17.8	33.0	0.509		0.753	0.727	0.957	0.897	0.812
CLM4_GSWP3v1	[-]	152.		2.16	22.8	0.401		0.883	0.751	0.968	0.927	0.856
CLM5_CRUNCEPv7	[-]	167.		17.8	33.0	0.509		0.753	0.727	0.957	0.897	0.812
CLM5_GSWP3v1	[-]	152.		2.16	22.8	0.401		0.883	0.751	0.968	0.927	0.856

	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.
CLM4.5_CRUNCEPv7	[-]	241.		-9.95	25.8	0.00		0.889	0.744	1.00	0.871	0.849
CLM4.5_GSWP3v1	[-]	226.		-25.3	31.8	0.00		0.741	0.757	1.00	0.916	0.834
CLM4_CRUNCEPv7	[-]	241.		-9.95	25.8	0.00		0.889	0.744	1.00	0.871	0.849
CLM4_GSWP3v1	[-]	226.		-25.3	31.8	0.00		0.741	0.757	1.00	0.916	0.834
CLM5_CRUNCEPv7	[-]	241.		-9.95	25.8	0.00		0.889	0.744	1.00	0.871	0.849
CLM5_GSWP3v1	[-]	226.		-25.3	31.8	0.00		0.741	0.757	1.00	0.916	0.834

	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.
CLM4.5_CRUNCEPv7	[-]	180.		20.2	31.0	0.824		0.735	0.728	0.934	0.929	0.811
CLM4.5_GSWP3v1	[-]	167.		6.43	23.9	0.340		0.854	0.737	0.972	0.940	0.848
CLM4_CRUNCEPv7	[-]	180.		20.2	31.0	0.824		0.735	0.728	0.934	0.929	0.811
CLM4_GSWP3v1	[-]	167.		6.43	23.9	0.340		0.854	0.737	0.972	0.940	0.848
CLM5_CRUNCEPv7	[-]	180.		20.2	31.0	0.824		0.735	0.728	0.934	0.929	0.811
CLM5_GSWP3v1	[-]	167.		6.43	23.9	0.340		0.854	0.737	0.972	0.940	0.848

	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.
CLM4.5_CRUNCEPv7	[-]	148.		17.9	32.0	0.581		0.792	0.733	0.962	0.907	0.825
CLM4.5_GSWP3v1	[-]	133.		3.23	21.1	0.799		0.916	0.774	0.922	0.955	0.868
CLM4_CRUNCEPv7	[-]	148.		17.9	32.0	0.581		0.792	0.733	0.962	0.907	0.825
CLM4_GSWP3v1	[-]	133.		3.23	21.1	0.799		0.916	0.774	0.922	0.955	0.868
CLM5_CRUNCEPv7	[-]	148.		17.9	32.0	0.581		0.792	0.733	0.962	0.907	0.825
CLM5_GSWP3v1	[-]	133.		3.23	21.1	0.799		0.916	0.774	0.922	0.955	0.868

	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.
CLM4.5_CRUNCEPv7	[-]	196.		0.142	26.4	0.339		0.867	0.764	0.978	0.917	0.858
CLM4.5_GSWP3v1	[-]	199.		3.29	22.8	0.339		0.896	0.790	0.978	0.940	0.879
CLM4_CRUNCEPv7	[-]	196.		0.142	26.4	0.339		0.867	0.764	0.978	0.917	0.858
CLM4_GSWP3v1	[-]	199.		3.29	22.8	0.339		0.896	0.790	0.978	0.940	0.879
CLM5_CRUNCEPv7	[-]	196.		0.142	26.4	0.339		0.867	0.764	0.978	0.917	0.858
CLM5_GSWP3v1	[-]	199.		3.29	22.8	0.339		0.896	0.790	0.978	0.940	0.879

	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.
CLM4.5_CRUNCEPv7	[-]	208.		22.8	37.1	0.00		0.535	0.455	1.00	0.568	0.603
CLM4.5_GSWP3v1	[-]	205.		20.2	35.7	0.00		0.576	0.479	1.00	0.731	0.653
CLM4_CRUNCEPv7	[-]	208.		22.8	37.1	0.00		0.535	0.455	1.00	0.568	0.603
CLM4_GSWP3v1	[-]	205.		20.2	35.7	0.00		0.576	0.479	1.00	0.731	0.653
CLM5_CRUNCEPv7	[-]	208.		22.8	37.1	0.00		0.535	0.455	1.00	0.568	0.603
CLM5_GSWP3v1	[-]	205.		20.2	35.7	0.00		0.576	0.479	1.00	0.731	0.653

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