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	[-]	92.3
default	[-]	121.		29.0	38.0	0.492		0.00	0.150	0.968	0.317
handtune0011	[-]	121.		28.7	37.4	0.492		0.00	0.162	0.968	0.323

	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	[-]	82.3
default	[-]	92.6		10.3	37.0	1.52		0.511	0.215	0.749	0.422
handtune0011	[-]	92.9		10.6	37.8	1.52		0.498	0.212	0.749	0.418

	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	[-]	128.
default	[-]	102.		-25.9	25.4	0.983		0.00	0.491	0.937	0.480
handtune0011	[-]	106.		-22.5	21.9	0.983		0.00	0.509	0.937	0.489

	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	[-]	49.5
default	[-]	22.7		-26.7	20.7	0.508		0.215	0.176	0.966	0.384
handtune0011	[-]	20.7		-28.8	22.4	0.508		0.198	0.177	0.966	0.380

	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	[-]	144.
default	[-]	135.		-9.12	19.4	2.00		0.513	0.345	0.756	0.490
handtune0011	[-]	134.		-10.5	20.2	2.00		0.441	0.345	0.756	0.472

	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	[-]	66.8
default	[-]	51.9		-14.8	20.3	0.508		0.188	0.186	0.966	0.382
handtune0011	[-]	50.8		-15.9	20.6	0.508		0.121	0.146	0.966	0.345

	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	[-]	73.7
default	[-]	73.8		0.105	18.4	0.713		0.377	0.320	0.941	0.490
handtune0011	[-]	73.0		-0.608	18.5	0.713		0.386	0.315	0.941	0.489

	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	[-]	122.
default	[-]	97.4		-24.2	50.4	2.11		0.131	0.195	0.669	0.298
handtune0011	[-]	97.2		-24.4	49.6	2.11		0.127	0.196	0.669	0.297

	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	[-]	69.7
default	[-]	58.2		-11.5	27.0	0.643		0.248	0.278	0.929	0.433
handtune0011	[-]	58.1		-11.7	27.1	0.643		0.247	0.279	0.929	0.433

	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	[-]	87.4
default	[-]	70.8		-16.5	32.6	1.03		0.229	0.223	0.866	0.385
handtune0011	[-]	70.7		-16.6	32.5	1.04		0.225	0.222	0.866	0.383

	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	[-]	34.7
default	[-]	30.7		-4.03	21.5	0.678		0.707	0.162	0.955	0.496
handtune0011	[-]	30.2		-4.48	21.5	0.678		0.705	0.163	0.955	0.497

	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	[-]	139.		22.0	35.5	0.492		0.179	0.201	0.968	0.388
handtune0011	[-]	139.		22.0	35.6	0.492		0.179	0.198	0.968	0.386

	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	[-]	104.
default	[-]	73.2		-30.6	28.2	0.820		0.188	0.158	0.926	0.358
handtune0011	[-]	73.2		-30.7	28.2	0.820		0.173	0.156	0.926	0.353

	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	[-]	69.4
default	[-]	52.8		-16.6	22.5	0.407		0.300	0.336	0.973	0.486
handtune0011	[-]	53.2		-16.2	22.2	0.407		0.311	0.338	0.973	0.490

	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	[-]	97.8
default	[-]	80.4		-17.3	51.5	1.87		0.167	0.133	0.703	0.284
handtune0011	[-]	80.3		-17.5	51.8	1.87		0.165	0.128	0.703	0.281

	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	[-]	133.
default	[-]	112.		-20.8	29.6	2.38		0.150	0.209	0.642	0.303
handtune0011	[-]	112.		-20.8	29.7	2.71		0.154	0.205	0.583	0.287

	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	[-]	125.
default	[-]	104.		-21.2	27.0	0.00		0.00	0.230	1.00	0.365
handtune0011	[-]	104.		-21.1	26.8	0.00		0.00	0.235	1.00	0.368

	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	[-]	78.0		-39.3	28.7	0.00		0.00	0.00	1.00	0.250
handtune0011	[-]	78.4		-38.8	28.7	0.00		0.00	0.00	1.00	0.250

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: NETRAD