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	[-]	44.5
I65_CRUJRA	[-]	76.9		32.3	37.7	2.52		0.00	0.429	0.599	0.364
I67_GSWP3	[-]	77.4		32.9	38.2	1.02		0.00	0.407	0.890	0.426
I68_CRUJRA	[-]	78.9		34.3	39.7	2.52		0.00	0.419	0.599	0.359
I69_CRUJRA	[-]	75.6		31.1	36.5	2.52		0.00	0.430	0.599	0.365

	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	[-]	57.5
I65_CRUJRA	[-]	24.8		-32.7	49.3	1.02		0.00	0.00	0.933	0.233
I67_GSWP3	[-]	25.4		-32.1	49.5	1.02		0.00	0.00	0.933	0.233
I68_CRUJRA	[-]	24.4		-33.0	49.0	0.508		0.00	0.00	0.960	0.240
I69_CRUJRA	[-]	24.8		-32.7	49.2	1.02		0.00	0.00	0.933	0.233

	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	[-]	44.4
I65_CRUJRA	[-]	33.6		-10.8	40.3	1.97		0.558	0.00	0.764	0.330
I67_GSWP3	[-]	42.8		-1.60	37.9	1.97		0.934	0.00	0.764	0.424
I68_CRUJRA	[-]	32.5		-12.0	40.2	1.97		0.510	0.00	0.764	0.318
I69_CRUJRA	[-]	33.5		-11.0	40.4	1.97		0.552	0.00	0.764	0.329

	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	[-]	20.8
I65_CRUJRA	[-]	12.5		-8.27	17.2	0.00		0.0403	0.00	1.00	0.260
I67_GSWP3	[-]	17.9		-2.88	23.8	0.00		0.609	0.00	1.00	0.402
I68_CRUJRA	[-]	12.6		-8.19	17.3	0.00		0.0362	0.00	1.00	0.259
I69_CRUJRA	[-]	12.5		-8.26	17.1	0.00		0.0323	0.00	1.00	0.258

	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	[-]	97.2
I65_CRUJRA	[-]	84.0		-13.2	18.7	0.00		0.460	0.632	1.00	0.681
I67_GSWP3	[-]	91.1		-6.18	11.3	0.00		0.748	0.713	1.00	0.793
I68_CRUJRA	[-]	84.0		-13.2	18.6	0.00		0.459	0.637	1.00	0.683
I69_CRUJRA	[-]	84.1		-13.2	18.7	0.00		0.462	0.633	1.00	0.682

	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	[-]	33.4
I65_CRUJRA	[-]	28.9		-4.51	20.1	1.02		0.607	0.132	0.933	0.451
I67_GSWP3	[-]	27.4		-6.04	20.1	0.00		0.488	0.138	1.00	0.441
I68_CRUJRA	[-]	29.3		-4.07	19.2	1.02		0.649	0.131	0.933	0.461
I69_CRUJRA	[-]	28.7		-4.69	19.9	1.02		0.590	0.133	0.933	0.447

	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	[-]	41.2
I65_CRUJRA	[-]	36.1		-5.14	21.5	0.851		0.342	0.278	0.926	0.456
I67_GSWP3	[-]	35.9		-5.32	20.8	0.511		0.349	0.285	0.944	0.466
I68_CRUJRA	[-]	35.8		-5.45	21.1	0.511		0.345	0.287	0.944	0.466
I69_CRUJRA	[-]	35.9		-5.32	21.4	0.851		0.349	0.281	0.926	0.459

	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	[-]	50.9
I65_CRUJRA	[-]	46.5		-3.10	27.2	1.28		0.413	0.202	0.867	0.421
I67_GSWP3	[-]	46.7		-4.18	28.1	1.22		0.395	0.189	0.855	0.407
I68_CRUJRA	[-]	48.0		-2.93	26.7	1.22		0.410	0.238	0.877	0.441
I69_CRUJRA	[-]	46.4		-3.26	27.0	1.23		0.412	0.207	0.869	0.424

	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	[-]	35.1
I65_CRUJRA	[-]	35.7		0.620	21.3	0.679		0.477	0.207	0.948	0.460
I67_GSWP3	[-]	34.4		-0.692	21.0	0.664		0.518	0.221	0.947	0.477
I68_CRUJRA	[-]	35.5		0.368	20.9	0.679		0.514	0.215	0.947	0.473
I69_CRUJRA	[-]	35.9		0.760	21.4	0.633		0.475	0.206	0.954	0.460

	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	[-]	40.1
I65_CRUJRA	[-]	39.2		-0.740	23.8	0.850		0.422	0.209	0.893	0.433
I67_GSWP3	[-]	39.0		-1.10	24.1	0.696		0.448	0.205	0.913	0.443
I68_CRUJRA	[-]	39.4		-0.754	23.3	0.806		0.435	0.225	0.896	0.445
I69_CRUJRA	[-]	39.3		-0.598	23.9	0.830		0.420	0.210	0.895	0.434

	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	[-]	13.3
I65_CRUJRA	[-]	13.1		-0.205	9.87	0.678		0.716	0.388	0.955	0.612
I67_GSWP3	[-]	16.5		3.20	15.4	0.678		0.599	0.139	0.956	0.458
I68_CRUJRA	[-]	14.6		1.26	10.2	0.678		0.797	0.360	0.955	0.618
I69_CRUJRA	[-]	13.0		-0.368	10.0	0.678		0.707	0.378	0.955	0.604

	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	[-]	82.2
I65_CRUJRA	[-]	112.		29.6	41.7	6.05		0.202	0.178	7.41e-05	0.139
I67_GSWP3	[-]	92.2		10.1	27.8	4.02		0.570	0.304	0.259	0.359
I68_CRUJRA	[-]	109.		26.5	38.7	5.10		0.273	0.237	0.0631	0.203
I69_CRUJRA	[-]	111.		29.2	41.4	6.05		0.213	0.178	7.41e-05	0.142

	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	[-]	41.6
I65_CRUJRA	[-]	45.0		3.49	22.5	0.578		0.437	0.204	0.953	0.449
I67_GSWP3	[-]	44.4		2.89	22.9	0.386		0.535	0.197	0.964	0.473
I68_CRUJRA	[-]	45.1		3.52	21.8	0.578		0.455	0.227	0.953	0.465
I69_CRUJRA	[-]	45.3		3.73	22.4	0.578		0.428	0.210	0.953	0.450

	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	[-]	25.4
I65_CRUJRA	[-]	30.2		4.71	19.3	0.610		0.446	0.129	0.966	0.417
I67_GSWP3	[-]	32.3		6.86	23.4	0.0678		0.364	0.0529	0.996	0.366
I68_CRUJRA	[-]	30.3		4.81	19.2	0.610		0.449	0.127	0.966	0.417
I69_CRUJRA	[-]	30.3		4.82	19.4	0.610		0.444	0.125	0.966	0.415

	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	[-]	41.1
I65_CRUJRA	[-]	33.3		-7.75	30.9	0.874		0.288	0.136	0.870	0.358
I67_GSWP3	[-]	33.9		-7.15	30.6	1.02		0.274	0.122	0.860	0.344
I68_CRUJRA	[-]	33.4		-7.70	30.1	0.910		0.274	0.151	0.863	0.360
I69_CRUJRA	[-]	34.1		-6.97	31.4	0.874		0.288	0.132	0.870	0.355

	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	[-]	97.5
I65_CRUJRA	[-]	97.9		0.408	13.9	1.70		0.952	0.591	0.696	0.708
I67_GSWP3	[-]	102.		4.71	16.5	0.683		0.790	0.540	0.953	0.706
I68_CRUJRA	[-]	98.1		0.591	13.8	1.70		0.933	0.597	0.696	0.706
I69_CRUJRA	[-]	96.8		-0.734	13.7	1.70		0.960	0.594	0.696	0.711

	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	[-]	101.
I65_CRUJRA	[-]	82.3		-18.4	40.3	0.00		0.250	0.00	1.00	0.312
I67_GSWP3	[-]	74.9		-25.8	45.2	0.00		0.00	0.00917	1.00	0.255
I68_CRUJRA	[-]	82.3		-18.4	40.4	0.00		0.248	0.00	1.00	0.312
I69_CRUJRA	[-]	82.6		-18.1	40.3	0.00		0.260	0.00	1.00	0.315

	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	[-]	45.3
I65_CRUJRA	[-]	44.9		-0.409	35.4	2.02		0.975	0.00	0.752	0.432
I67_GSWP3	[-]	49.6		4.34	27.4	2.02		0.736	0.00	0.752	0.372
I68_CRUJRA	[-]	43.2		-2.11	33.3	2.02		0.872	0.00	0.752	0.406
I69_CRUJRA	[-]	44.9		-0.398	35.5	2.02		0.976	0.00	0.752	0.432

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: LE_F_MDS