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	[-]	-1.08
Control	[-]	-0.151		0.932	1.81	3.58		0.267	0.324	0.461	0.344
Randomized	[-]	-0.163		0.920	1.71	3.58		0.269	0.320	0.461	0.342

	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	[-]	-1.20
Control	[-]	-0.0168		1.18	2.55	3.02		0.593	0.363	0.625	0.486
Randomized	[-]	-0.0147		1.19	2.53	3.02		0.593	0.368	0.625	0.488

	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	[-]	0.492
Control	[-]	-0.0237		-0.516	1.09	0.00		0.612	0.402	1.00	0.604
Randomized	[-]	-0.0162		-0.508	1.08	1.02		0.617	0.407	0.933	0.591

	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	[-]	-0.289
Control	[-]	0.0252		0.314	1.39	1.02		0.711	0.307	0.830	0.539
Randomized	[-]	0.0231		0.312	1.31	1.02		0.711	0.317	0.830	0.544

	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
Control	[-]	-0.225		2.49	2.71	3.00		0.0140	0.192	0.511	0.227
Randomized	[-]	-0.230		2.48	2.66	4.02		0.0141	0.181	0.259	0.159

	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	[-]	-0.0186
Control	[-]	-0.106		-0.0877	1.13	2.52		1.17	-2.74	-9.59	-3.48
Randomized	[-]	-0.131		-0.113	1.21	2.52		1.81	-2.39	-9.59	-3.14

	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	[-]	-0.507
Control	[-]	-0.0942		0.413	1.14	2.61		0.440	0.382	0.757	0.490
Randomized	[-]	-0.104		0.403	1.26	2.69		0.447	0.349	0.760	0.476

	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	[-]	-0.917
Control	[-]	-0.0554		0.820	1.69	2.62		0.293	0.293	0.744	0.406
Randomized	[-]	-0.0593		0.816	1.72	2.44		0.295	0.276	0.769	0.404

	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	[-]	-0.820
Control	[-]	-0.140		0.680	2.06	1.13		0.538	0.452	0.909	0.587
Randomized	[-]	-0.146		0.674	2.07	1.11		0.539	0.446	0.908	0.585

	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	[-]	-0.666
Control	[-]	-0.0873		0.573	1.79	1.72		0.440	0.404	0.804	0.513
Randomized	[-]	-0.0927		0.568	1.80	1.86		0.442	0.396	0.736	0.492

	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	[-]	-0.102
Control	[-]	0.0414		0.143	0.800	0.339		0.793	0.351	0.988	0.621
Randomized	[-]	0.0371		0.139	0.848	0.339		0.780	0.305	0.988	0.594

	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	[-]	-0.384
Control	[-]	-0.00963		0.375	1.85	5.54		0.106	0.417	-0.0813	0.215
Randomized	[-]	-0.00491		0.379	1.89	5.54		0.102	0.414	-0.0813	0.212

	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	[-]	-0.800
Control	[-]	-0.0614		0.738	1.99	1.59		0.417	0.449	0.872	0.547
Randomized	[-]	-0.0671		0.732	1.95	2.57		0.419	0.446	0.466	0.444

	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	[-]	-0.155
Control	[-]	-0.0236		0.131	1.29	1.21		0.671	0.388	0.642	0.522
Randomized	[-]	-0.0361		0.119	1.26	1.21		0.686	0.383	0.642	0.523

	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	[-]	-0.370
Control	[-]	-0.0855		0.284	1.60	2.10		0.499	0.385	0.860	0.532
Randomized	[-]	-0.0825		0.287	1.61	1.95		0.495	0.372	0.851	0.522

	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	[-]	-0.355
Control	[-]	-0.144		0.211	1.29	3.40		0.763	0.299	0.392	0.438
Randomized	[-]	-0.165		0.189	1.33	3.40		0.772	0.286	0.392	0.434

	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	[-]	2.00
Control	[-]	-0.0567		-2.05	3.75	0.00		0.539	0.392	1.00	0.581
Randomized	[-]	-0.0502		-2.05	3.89	0.00		0.540	0.372	1.00	0.571

	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	[-]	-4.76
Control	[-]	0.0258		4.78	4.98	4.03		0.0401	0.349	0.255	0.248
Randomized	[-]	-0.0175		4.74	5.09	1.02		0.0413	0.329	0.933	0.408

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: NEE_VUT_REF