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
I62_CRUJRA	[-]	70.2		25.7	31.8	2.52		0.00	0.426	0.599	0.363
I63_CRUJRA	[-]	70.2		25.7	31.8	2.52		0.00	0.426	0.599	0.363
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

	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
I62_CRUJRA	[-]	20.7		-36.8	51.7	0.00		0.00	0.00	1.00	0.250
I63_CRUJRA	[-]	20.7		-36.8	51.7	0.00		0.00	0.00	1.00	0.250
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

	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
I62_CRUJRA	[-]	33.3		-11.2	40.4	1.97		0.543	0.00	0.764	0.327
I63_CRUJRA	[-]	33.3		-11.2	40.4	1.97		0.543	0.00	0.764	0.327
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

	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
I62_CRUJRA	[-]	12.9		-7.84	17.4	0.00		0.0715	0.00	1.00	0.268
I63_CRUJRA	[-]	12.3		-8.47	17.6	0.00		0.0530	0.00	1.00	0.263
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

	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
I62_CRUJRA	[-]	79.6		-17.7	22.5	0.00		0.278	0.628	1.00	0.633
I63_CRUJRA	[-]	79.6		-17.7	22.5	0.00		0.278	0.628	1.00	0.633
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

	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
I62_CRUJRA	[-]	29.1		-4.33	20.0	1.02		0.619	0.136	0.933	0.456
I63_CRUJRA	[-]	28.5		-4.93	20.0	1.02		0.569	0.139	0.933	0.445
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

	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
I62_CRUJRA	[-]	35.7		-5.49	21.3	0.938		0.360	0.278	0.917	0.458
I63_CRUJRA	[-]	35.8		-5.47	21.2	0.938		0.360	0.280	0.917	0.459
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

	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
I62_CRUJRA	[-]	46.4		-3.25	27.3	1.18		0.406	0.197	0.885	0.422
I63_CRUJRA	[-]	46.4		-3.25	27.4	1.23		0.406	0.197	0.883	0.421
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

	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
I62_CRUJRA	[-]	35.9		0.825	21.2	0.694		0.480	0.208	0.947	0.461
I63_CRUJRA	[-]	35.9		0.768	21.2	0.694		0.479	0.208	0.947	0.460
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

	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
I62_CRUJRA	[-]	38.9		-1.01	23.6	0.810		0.416	0.209	0.896	0.432
I63_CRUJRA	[-]	38.9		-1.07	23.7	0.810		0.415	0.209	0.896	0.432
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

	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
I62_CRUJRA	[-]	14.0		0.645	9.60	0.678		0.824	0.391	0.955	0.640
I63_CRUJRA	[-]	13.8		0.478	9.45	0.678		0.805	0.404	0.955	0.642
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

	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
I62_CRUJRA	[-]	107.		25.2	40.0	5.03		0.300	0.138	0.0717	0.162
I63_CRUJRA	[-]	107.		25.2	40.0	5.03		0.300	0.138	0.0717	0.162
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

	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
I62_CRUJRA	[-]	44.7		3.12	22.3	0.578		0.438	0.207	0.953	0.451
I63_CRUJRA	[-]	44.7		3.11	22.3	0.578		0.437	0.208	0.953	0.451
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

	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
I62_CRUJRA	[-]	29.4		3.92	18.2	0.203		0.494	0.142	0.986	0.441
I63_CRUJRA	[-]	29.1		3.61	18.2	0.136		0.489	0.138	0.990	0.439
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

	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
I62_CRUJRA	[-]	34.0		-7.05	30.7	0.874		0.290	0.141	0.870	0.360
I63_CRUJRA	[-]	33.9		-7.14	30.9	0.874		0.289	0.140	0.870	0.360
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

	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
I62_CRUJRA	[-]	91.6		-5.90	15.0	2.38		0.756	0.570	0.617	0.629
I63_CRUJRA	[-]	91.6		-5.90	15.0	2.38		0.756	0.570	0.617	0.629
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

	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.
I62_CRUJRA	[-]	76.5		-24.2	42.1	0.00		0.0120	0.00	1.00	0.253
I63_CRUJRA	[-]	76.5		-24.2	42.1	0.00		0.0120	0.00	1.00	0.253
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

	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
I62_CRUJRA	[-]	44.9		-0.419	35.0	2.02		0.975	0.00	0.752	0.432
I63_CRUJRA	[-]	44.9		-0.419	35.0	2.02		0.974	0.00	0.752	0.432
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

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