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) [g m-2 d-1]		Bias [g m-2 d-1]	RMSE [g m-2 d-1]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Overall Score [1]
Benchmark	[-]	4.37
default	[-]	6.48		2.11	4.83	3.04		0.620	0.316	0.368	0.405
handtune0011	[-]	6.19		1.82	4.65	2.53		0.670	0.317	0.489	0.448

	Download Data	Period Mean (original grids) [g m-2 d-1]		Bias [g m-2 d-1]	RMSE [g m-2 d-1]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Overall Score [1]
Benchmark	[-]	3.11
default	[-]	1.39		-1.72	3.74	2.55		0.574	0.340	0.501	0.439
handtune0011	[-]	1.52		-1.59	3.92	2.55		0.601	0.319	0.501	0.435

	Download Data	Period Mean (original grids) [g m-2 d-1]		Bias [g m-2 d-1]	RMSE [g m-2 d-1]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Overall Score [1]
Benchmark	[-]	3.77
default	[-]	0.953		-2.81	3.93	0.00		0.376	0.383	1.00	0.535
handtune0011	[-]	2.31		-1.45	2.50	0.00		0.603	0.477	1.00	0.639

	Download Data	Period Mean (original grids) [g m-2 d-1]		Bias [g m-2 d-1]	RMSE [g m-2 d-1]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Overall Score [1]
Benchmark	[-]	1.41
default	[-]	1.29		-0.122	2.65	0.508		0.734	0.249	0.976	0.552
handtune0011	[-]	0.609		-0.801	2.39	1.02		0.600	0.341	0.931	0.553

	Download Data	Period Mean (original grids) [g m-2 d-1]		Bias [g m-2 d-1]	RMSE [g m-2 d-1]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Overall Score [1]
Benchmark	[-]	7.09
default	[-]	8.49		1.40	2.13	3.02		0.134	0.0905	0.506	0.205
handtune0011	[-]	6.69		-0.406	1.73	1.02		0.557	0.0882	0.933	0.416

	Download Data	Period Mean (original grids) [g m-2 d-1]		Bias [g m-2 d-1]	RMSE [g m-2 d-1]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Overall Score [1]
Benchmark	[-]	2.94
default	[-]	2.83		-0.107	1.94	0.508		0.748	0.571	0.955	0.711
handtune0011	[-]	2.26		-0.673	1.42	0.508		0.791	0.648	0.955	0.761

	Download Data	Period Mean (original grids) [g m-2 d-1]		Bias [g m-2 d-1]	RMSE [g m-2 d-1]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Overall Score [1]
Benchmark	[-]	2.37
default	[-]	3.22		0.850	1.92	0.935		0.605	0.551	0.865	0.643
handtune0011	[-]	3.02		0.644	1.72	1.02		0.658	0.555	0.853	0.655

	Download Data	Period Mean (original grids) [g m-2 d-1]		Bias [g m-2 d-1]	RMSE [g m-2 d-1]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Overall Score [1]
Benchmark	[-]	3.19
default	[-]	2.25		-0.938	2.89	3.29		0.346	0.276	0.420	0.330
handtune0011	[-]	2.34		-0.849	2.92	2.59		0.338	0.264	0.535	0.350

	Download Data	Period Mean (original grids) [g m-2 d-1]		Bias [g m-2 d-1]	RMSE [g m-2 d-1]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Overall Score [1]
Benchmark	[-]	3.92
default	[-]	3.35		-0.564	2.62	0.694		0.683	0.537	0.952	0.677
handtune0011	[-]	3.19		-0.729	2.66	0.694		0.674	0.532	0.952	0.673

	Download Data	Period Mean (original grids) [g m-2 d-1]		Bias [g m-2 d-1]	RMSE [g m-2 d-1]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Overall Score [1]
Benchmark	[-]	3.35
default	[-]	3.03		-0.322	2.71	1.22		0.583	0.453	0.839	0.582
handtune0011	[-]	2.81		-0.541	2.65	1.15		0.583	0.455	0.858	0.588

	Download Data	Period Mean (original grids) [g m-2 d-1]		Bias [g m-2 d-1]	RMSE [g m-2 d-1]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Overall Score [1]
Benchmark	[-]	0.829
default	[-]	1.47		0.642	1.96	0.00		0.538	0.299	1.00	0.534
handtune0011	[-]	1.06		0.231	1.62	0.00		0.633	0.337	1.00	0.577

	Download Data	Period Mean (original grids) [g m-2 d-1]		Bias [g m-2 d-1]	RMSE [g m-2 d-1]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Overall Score [1]
Benchmark	[-]	6.58
default	[-]	9.20		2.62	3.64	1.53		0.321	0.398	0.720	0.459
handtune0011	[-]	7.69		1.10	2.49	1.53		0.611	0.411	0.720	0.538

	Download Data	Period Mean (original grids) [g m-2 d-1]		Bias [g m-2 d-1]	RMSE [g m-2 d-1]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Overall Score [1]
Benchmark	[-]	3.42
default	[-]	2.71		-0.715	3.05	0.963		0.619	0.493	0.910	0.629
handtune0011	[-]	2.70		-0.721	3.07	0.963		0.611	0.483	0.910	0.622

	Download Data	Period Mean (original grids) [g m-2 d-1]		Bias [g m-2 d-1]	RMSE [g m-2 d-1]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Overall Score [1]
Benchmark	[-]	2.29
default	[-]	3.07		0.783	2.31	0.271		0.691	0.475	0.985	0.657
handtune0011	[-]	2.32		0.0342	1.78	0.271		0.737	0.544	0.985	0.702

	Download Data	Period Mean (original grids) [g m-2 d-1]		Bias [g m-2 d-1]	RMSE [g m-2 d-1]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Overall Score [1]
Benchmark	[-]	2.33
default	[-]	2.57		0.240	2.72	1.34		0.558	0.347	0.788	0.510
handtune0011	[-]	2.32		-0.00649	2.59	1.52		0.563	0.358	0.777	0.514

	Download Data	Period Mean (original grids) [g m-2 d-1]		Bias [g m-2 d-1]	RMSE [g m-2 d-1]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Overall Score [1]
Benchmark	[-]	9.65
default	[-]	8.03		-1.62	2.26	1.69		0.357	0.333	0.807	0.458
handtune0011	[-]	5.62		-4.03	4.24	1.69		0.0787	0.342	0.807	0.392

	Download Data	Period Mean (original grids) [g m-2 d-1]		Bias [g m-2 d-1]	RMSE [g m-2 d-1]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Overall Score [1]
Benchmark	[-]	6.98
default	[-]	6.59		-0.390	1.64	1.02		0.813	0.418	0.933	0.645
handtune0011	[-]	6.60		-0.382	1.68	0.00		0.816	0.412	1.00	0.660

	Download Data	Period Mean (original grids) [g m-2 d-1]		Bias [g m-2 d-1]	RMSE [g m-2 d-1]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Overall Score [1]
Benchmark	[-]	8.99
default	[-]	1.03		-7.95	8.28	2.03		0.0577	0.331	0.749	0.367
handtune0011	[-]	1.11		-7.88	8.28	1.02		0.0593	0.345	0.933	0.421

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: GPP_DT_VUT_REF