Africa - Central Africa - Sahel Africa - South Asia - East Siberia Asia - Indonesia Asia - North Central Asia - South Central Asia and China Australia Europe Global - Land 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

	Download Data	Period Mean (original grids) [W m-2]		Bias [W m-2]	RMSE [W m-2]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Overall Score [1]
Benchmark	[-]	152.
default	[-]	204.		52.9	59.4	0.492		0.182	0.399	0.968	0.487
handtune0011	[-]	204.		52.9	59.4	0.492		0.182	0.399	0.968	0.487

	Download Data	Period Mean (original grids) [W m-2]		Bias [W m-2]	RMSE [W m-2]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Overall Score [1]
Benchmark	[-]	221.
default	[-]	260.		38.6	71.2	3.05		0.575	0.339	0.498	0.438
handtune0011	[-]	260.		38.6	71.2	3.05		0.575	0.339	0.498	0.438

	Download Data	Period Mean (original grids) [W m-2]		Bias [W m-2]	RMSE [W m-2]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Overall Score [1]
Benchmark	[-]	228.
default	[-]	244.		16.1	24.2	1.02		0.537	0.512	0.933	0.623
handtune0011	[-]	244.		16.1	24.2	1.02		0.537	0.512	0.933	0.623

	Download Data	Period Mean (original grids) [W m-2]		Bias [W m-2]	RMSE [W m-2]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Overall Score [1]
Benchmark	[-]	100.
default	[-]	93.0		-7.38	24.8	0.508		0.926	0.780	0.966	0.863
handtune0011	[-]	93.0		-7.38	24.8	0.508		0.926	0.780	0.966	0.863

	Download Data	Period Mean (original grids) [W m-2]		Bias [W m-2]	RMSE [W m-2]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Overall Score [1]
Benchmark	[-]	198.
default	[-]	202.		3.80	20.5	2.00		0.808	0.317	0.756	0.549
handtune0011	[-]	202.		3.80	20.5	2.00		0.808	0.317	0.756	0.549

	Download Data	Period Mean (original grids) [W m-2]		Bias [W m-2]	RMSE [W m-2]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Overall Score [1]
Benchmark	[-]	117.
default	[-]	122.		5.16	14.8	0.00		0.937	0.851	1.00	0.910
handtune0011	[-]	122.		5.16	14.8	0.00		0.937	0.851	1.00	0.910

	Download Data	Period Mean (original grids) [W m-2]		Bias [W m-2]	RMSE [W m-2]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Overall Score [1]
Benchmark	[-]	170.
default	[-]	175.		4.65	22.7	0.678		0.801	0.686	0.945	0.780
handtune0011	[-]	175.		4.65	22.7	0.678		0.801	0.686	0.945	0.780

	Download Data	Period Mean (original grids) [W m-2]		Bias [W m-2]	RMSE [W m-2]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Overall Score [1]
Benchmark	[-]	223.
default	[-]	219.		-3.76	55.1	1.67		0.793	0.520	0.749	0.646
handtune0011	[-]	219.		-3.76	55.1	1.67		0.793	0.520	0.749	0.646

	Download Data	Period Mean (original grids) [W m-2]		Bias [W m-2]	RMSE [W m-2]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Overall Score [1]
Benchmark	[-]	143.
default	[-]	137.		-5.69	30.4	0.584		0.876	0.754	0.925	0.827
handtune0011	[-]	137.		-5.69	30.4	0.584		0.876	0.754	0.925	0.827

	Download Data	Period Mean (original grids) [W m-2]		Bias [W m-2]	RMSE [W m-2]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Overall Score [1]
Benchmark	[-]	167.
default	[-]	163.		-4.23	36.0	0.844		0.833	0.697	0.886	0.778
handtune0011	[-]	163.		-4.23	36.0	0.844		0.833	0.697	0.886	0.778

	Download Data	Period Mean (original grids) [W m-2]		Bias [W m-2]	RMSE [W m-2]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Overall Score [1]
Benchmark	[-]	107.
default	[-]	109.		1.73	27.2	0.678		0.891	0.779	0.955	0.851
handtune0011	[-]	109.		1.73	27.2	0.678		0.891	0.779	0.955	0.851

	Download Data	Period Mean (original grids) [W m-2]		Bias [W m-2]	RMSE [W m-2]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Overall Score [1]
Benchmark	[-]	177.
default	[-]	226.		48.7	60.4	0.00		0.237	0.415	1.00	0.517
handtune0011	[-]	226.		48.7	60.4	0.00		0.237	0.415	1.00	0.517

	Download Data	Period Mean (original grids) [W m-2]		Bias [W m-2]	RMSE [W m-2]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Overall Score [1]
Benchmark	[-]	165.
default	[-]	164.		-1.00	19.9	0.385		0.896	0.783	0.975	0.859
handtune0011	[-]	164.		-1.00	19.9	0.385		0.896	0.783	0.975	0.859

	Download Data	Period Mean (original grids) [W m-2]		Bias [W m-2]	RMSE [W m-2]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Overall Score [1]
Benchmark	[-]	129.
default	[-]	131.		1.78	15.5	0.339		0.952	0.833	0.978	0.899
handtune0011	[-]	131.		1.78	15.5	0.339		0.952	0.833	0.978	0.899

	Download Data	Period Mean (original grids) [W m-2]		Bias [W m-2]	RMSE [W m-2]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Overall Score [1]
Benchmark	[-]	211.
default	[-]	185.		-25.7	71.9	1.66		0.728	0.606	0.720	0.665
handtune0011	[-]	185.		-25.7	71.9	1.66		0.728	0.606	0.720	0.665

	Download Data	Period Mean (original grids) [W m-2]		Bias [W m-2]	RMSE [W m-2]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Overall Score [1]
Benchmark	[-]	195.
default	[-]	199.		4.61	32.5	2.38		0.792	0.420	0.642	0.569
handtune0011	[-]	199.		4.61	32.5	2.38		0.792	0.420	0.642	0.569

	Download Data	Period Mean (original grids) [W m-2]		Bias [W m-2]	RMSE [W m-2]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Overall Score [1]
Benchmark	[-]	195.
default	[-]	190.		-4.89	18.9	0.00		0.922	0.748	1.00	0.854
handtune0011	[-]	190.		-4.89	18.9	0.00		0.922	0.748	1.00	0.854

	Download Data	Period Mean (original grids) [W m-2]		Bias [W m-2]	RMSE [W m-2]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Overall Score [1]
Benchmark	[-]	239.
default	[-]	215.		-23.6	34.6	1.03		0.726	0.732	0.930	0.780
handtune0011	[-]	215.		-23.6	34.6	1.03		0.726	0.732	0.930	0.780

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 Global - Land 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 Spatially integrated regional mean cycle Spatially integrated regional mean detrended cycle Spatially integrated regional mean

  Title:

FluxNet Tower eddy covariance measurements (Tier 1)

  Version:

2015

  Institutions:

FluxNet, AmeriFlux, AfriFlux, AsiaFlux, ChinaFlux, Fluxnet-Canada, KoFlux, CarboAfrica, CarboEuropeIP, CarboItaly, CarboMont, GreenGrass, OzFlux-TERN, LBA, NECC, ICOS, TCOS-Siberia, and USCCC

  References:

Reichstein, M., D. Papale, R. Valentini, M. Aubinet, C. Bernhofer, A. Knohl, T. Laurila, A. Lindroth, E. Moors, K. Pilegaard, and G. Seufert (2007), Determinants of terrestrialecosystem carbon balance inferred from European eddy covarianceflux sites, Geophys. Res. Lett., 34, L01402, doi:10.1029/2006GL027880

Lasslop, G., M. Reichstein, D. Papale, A.D. Richardson, A. Arneth, A. Barr, P. Stoy, and G. Wohlfahrt (2010), Separation of net ecosystem exchange into assimilation and respiration using a light response curve approach: critical issues and global evaluation, Global Change Biology, 16, 187-208, doi:10.1111/j.1365-2486.2009.02041.x

Knauer, J., S. Zaehle, B.E. Medlyn, M. Reichstein, C.A. Williams, M. Migliavacca, M.G. De Kauwe, C. Werner, C. Keitel, P. Kolari, J.-M. Limousin, and M.-L. Linderson (2018), Towards physiologically meaningful water use efficiency estimates from eddy covariance data, Global Change Biology, 24(2), 694-710, doi:10.1111/gcb.13893

  Comment:

Fluxnet variable(s) used: SW_IN_F