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	[-]	409.
default	[-]	398.		-10.4	16.5	2.04		0.416	0.284	0.622	0.402
handtune0011	[-]	398.		-10.4	16.5	2.04		0.416	0.284	0.622	0.402

	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	[-]	377.
default	[-]	360.		-16.7	56.1	2.52		0.472	0.360	0.535	0.432
handtune0011	[-]	360.		-16.7	56.1	2.52		0.472	0.360	0.535	0.432

	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	[-]	358.
default	[-]	354.		-3.88	12.3	1.03		0.878	0.680	0.930	0.792
handtune0011	[-]	354.		-3.88	12.3	1.03		0.878	0.680	0.930	0.792

	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	[-]	247.
default	[-]	235.		-11.6	28.1	0.00		0.802	0.661	1.00	0.781
handtune0011	[-]	235.		-11.6	28.1	0.00		0.802	0.661	1.00	0.781

	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	[-]	419.
default	[-]	425.		6.09	8.35	5.10		0.248	0.266	0.0631	0.211
handtune0011	[-]	425.		6.09	8.35	5.10		0.248	0.266	0.0631	0.211

	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	[-]	282.
default	[-]	277.		-5.48	16.6	0.00		0.868	0.669	1.00	0.802
handtune0011	[-]	277.		-5.48	16.6	0.00		0.868	0.669	1.00	0.802

	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	[-]	279.
default	[-]	297.		18.6	24.2	0.603		0.728	0.780	0.959	0.812
handtune0011	[-]	297.		18.6	24.2	0.603		0.728	0.780	0.959	0.812

	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	[-]	359.
default	[-]	354.		-5.54	28.3	1.71		0.574	0.531	0.748	0.596
handtune0011	[-]	354.		-5.54	28.3	1.71		0.574	0.531	0.748	0.596

	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	[-]	311.
default	[-]	310.		-1.14	21.9	0.604		0.703	0.587	0.924	0.700
handtune0011	[-]	310.		-1.14	21.9	0.604		0.703	0.587	0.924	0.700

	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	[-]	312.
default	[-]	314.		1.64	23.7	0.895		0.679	0.617	0.874	0.697
handtune0011	[-]	314.		1.64	23.7	0.895		0.679	0.617	0.874	0.697

	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	[-]	249.
default	[-]	242.		-7.10	19.4	0.00		0.881	0.717	1.00	0.829
handtune0011	[-]	242.		-7.10	19.4	0.00		0.881	0.717	1.00	0.829

	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	[-]	409.
default	[-]	417.		8.30	9.58	2.03		0.302	0.417	0.749	0.471
handtune0011	[-]	417.		8.30	9.58	2.03		0.302	0.417	0.749	0.471

	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	[-]	312.
default	[-]	312.		0.0929	18.5	0.0833		0.776	0.779	0.994	0.832
handtune0011	[-]	312.		0.0929	18.5	0.0833		0.776	0.779	0.994	0.832

	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	[-]	266.
default	[-]	265.		-0.612	12.9	0.00		0.944	0.774	1.00	0.873
handtune0011	[-]	265.		-0.612	12.9	0.00		0.944	0.774	1.00	0.873

	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	[-]	302.
default	[-]	314.		12.7	39.0	2.09		0.471	0.473	0.690	0.526
handtune0011	[-]	314.		12.7	39.0	2.09		0.471	0.473	0.690	0.526

	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	[-]	415.
default	[-]	410.		-5.29	9.72	4.70		0.406	0.231	0.252	0.280
handtune0011	[-]	410.		-5.29	9.72	4.70		0.406	0.231	0.252	0.280

	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	[-]	365.
default	[-]	358.		-6.41	8.49	0.00		0.796	0.788	1.00	0.843
handtune0011	[-]	358.		-6.41	8.49	0.00		0.796	0.788	1.00	0.843

	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	[-]	318.
default	[-]	333.		14.6	24.1	0.983		0.668	0.642	0.937	0.722
handtune0011	[-]	333.		14.6	24.1	0.983		0.668	0.642	0.937	0.722

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: LW_IN_F