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	[-]	4.46
default	[-]	6.35		1.89	3.72	2.02		0.421	0.0183	0.516	0.243
handtune0011	[-]	5.75		1.29	3.31	2.02		0.551	0.0436	0.516	0.289

	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	[-]	3.18
default	[-]	1.32		-1.86	2.77	2.04		0.0309	0.00	0.471	0.125
handtune0011	[-]	1.46		-1.72	2.83	3.02		0.0466	0.00	0.301	0.0868

	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	[-]	5.73
default	[-]	0.726		-5.00	6.09	2.02		0.00	0.00	0.752	0.188
handtune0011	[-]	2.12		-3.61	4.77	0.983		0.00	0.00	0.937	0.234

	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	[-]	0.768
default	[-]	1.25		0.480	1.63	0.00		0.199	0.00	1.00	0.300
handtune0011	[-]	0.588		-0.180	1.08	0.00		0.188	0.0714	1.00	0.333

	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	[-]	4.40
default	[-]	7.88		3.48	3.81	6.05		0.00	0.350	7.41e-05	0.175
handtune0011	[-]	6.23		1.84	2.44	6.05		0.227	0.381	7.41e-05	0.248

	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	[-]	2.73
default	[-]	2.61		-0.113	1.83	0.508		0.0830	0.00	0.981	0.266
handtune0011	[-]	2.10		-0.622	1.30	0.508		0.294	0.146	0.981	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	[-]	1.99
default	[-]	3.09		1.09	1.78	0.857		0.193	0.294	0.893	0.419
handtune0011	[-]	2.90		0.902	1.60	0.942		0.209	0.300	0.884	0.423

	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	[-]	2.50
default	[-]	2.10		-0.400	2.24	3.17		0.291	0.185	0.468	0.283
handtune0011	[-]	2.24		-0.268	2.28	2.33		0.322	0.156	0.645	0.320

	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	[-]	3.05
default	[-]	3.23		0.188	1.73	0.772		0.390	0.140	0.944	0.404
handtune0011	[-]	3.08		0.0323	1.74	0.834		0.385	0.133	0.941	0.398

	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	[-]	2.71
default	[-]	2.91		0.205	2.00	1.29		0.317	0.147	0.799	0.353
handtune0011	[-]	2.70		-0.00514	1.93	1.34		0.326	0.145	0.815	0.358

	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	[-]	0.724
default	[-]	1.43		0.710	1.77	0.00		0.158	0.108	1.00	0.344
handtune0011	[-]	1.03		0.307	1.45	0.00		0.303	0.0455	1.00	0.348

	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	[-]	6.56
default	[-]	8.97		2.40	3.63	2.55		0.578	0.500	0.485	0.516
handtune0011	[-]	7.47		0.903	2.89	2.55		0.572	0.511	0.485	0.520

	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	[-]	2.55
default	[-]	2.64		0.0885	1.93	0.829		0.300	0.156	0.918	0.382
handtune0011	[-]	2.63		0.0823	1.94	1.38		0.310	0.151	0.862	0.368

	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	[-]	1.98
default	[-]	2.98		1.00	2.01	0.411		0.224	0.0623	0.971	0.330
handtune0011	[-]	2.22		0.244	1.50	0.411		0.400	0.0731	0.971	0.379

	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	[-]	1.97
default	[-]	2.45		0.479	2.04	1.89		0.281	0.0848	0.684	0.284
handtune0011	[-]	2.20		0.226	1.87	2.07		0.321	0.0888	0.670	0.292

	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	[-]	9.78
default	[-]	7.66		-2.12	2.94	3.03		0.260	0.167	0.491	0.271
handtune0011	[-]	5.36		-4.42	4.77	2.35		0.00	0.181	0.662	0.256

	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	[-]	5.79
default	[-]	6.52		0.738	3.41	0.983		0.690	0.00	0.937	0.407
handtune0011	[-]	6.54		0.757	3.37	2.02		0.682	0.00	0.752	0.359

	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	[-]	6.23
default	[-]	0.942		-5.29	6.21	4.08		0.00	0.00	0.244	0.0610
handtune0011	[-]	1.02		-5.21	6.21	3.07		0.00	0.00	0.494	0.123

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: RECO_DT_VUT_REF