Africa - Central 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 - Eastern United States North America - Southern Canada North America - Western United States South America - Amazon

	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	[-]	436.
I62_CRUJRA	[-]	465.		29.2	31.4	1.02		0.00	0.479	0.933	0.473
I63_CRUJRA	[-]	465.		29.2	31.4	1.02		0.00	0.479	0.933	0.473
I65_CRUJRA	[-]	463.		27.2	29.6	1.02		0.00	0.480	0.933	0.473
I67_GSWP3	[-]	475.		39.0	40.8	1.02		0.00	0.524	0.933	0.495

	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	[-]	429.
I62_CRUJRA	[-]	447.		17.8	24.6	1.02		0.00	0.00	0.933	0.233
I63_CRUJRA	[-]	447.		17.8	24.6	1.02		0.00	0.00	0.933	0.233
I65_CRUJRA	[-]	447.		17.7	24.5	1.02		0.00	0.00	0.933	0.233
I67_GSWP3	[-]	458.		28.9	28.9	0.00		0.00	0.363	1.00	0.432

	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	[-]	295.
I62_CRUJRA	[-]	261.		-33.4	15.5	0.00		0.00	0.00	1.00	0.250
I63_CRUJRA	[-]	262.		-33.1	14.9	0.00		0.00	0.00	1.00	0.250
I65_CRUJRA	[-]	261.		-33.3	15.3	0.00		0.00	0.00	1.00	0.250
I67_GSWP3	[-]	270.		-24.7	13.7	0.00		0.00	0.00	1.00	0.250

	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	[-]	452.
I62_CRUJRA	[-]	468.		16.4	17.0	1.02		0.00	0.688	0.933	0.577
I63_CRUJRA	[-]	468.		16.4	17.0	1.02		0.00	0.688	0.933	0.577
I65_CRUJRA	[-]	468.		16.0	16.6	1.02		0.00	0.688	0.933	0.577
I67_GSWP3	[-]	468.		16.2	17.0	0.00		0.00	0.710	1.00	0.605

	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	[-]	339.
I62_CRUJRA	[-]	340.		0.445	6.88	0.00		0.964	0.612	1.00	0.797
I63_CRUJRA	[-]	340.		0.636	6.93	0.00		0.949	0.612	1.00	0.793
I65_CRUJRA	[-]	341.		1.07	7.16	0.00		0.915	0.606	1.00	0.782
I67_GSWP3	[-]	345.		5.67	9.52	0.00		0.548	0.606	1.00	0.690

	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	[-]	356.
I62_CRUJRA	[-]	356.		0.0507	11.1	0.00		0.516	0.576	1.00	0.667
I63_CRUJRA	[-]	356.		0.0608	10.9	0.00		0.521	0.582	1.00	0.671
I65_CRUJRA	[-]	356.		-0.0404	10.9	0.00		0.502	0.582	1.00	0.666
I67_GSWP3	[-]	364.		7.36	12.7	0.00		0.478	0.621	1.00	0.680

	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	[-]	428.
I62_CRUJRA	[-]	437.		7.59	19.4	0.277		0.385	0.422	0.976	0.551
I63_CRUJRA	[-]	437.		7.59	19.4	0.277		0.385	0.421	0.976	0.551
I65_CRUJRA	[-]	436.		6.61	19.6	0.230		0.369	0.416	0.979	0.545
I67_GSWP3	[-]	443.		15.0	22.7	0.307		0.243	0.486	0.975	0.547

	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	[-]	361.
I62_CRUJRA	[-]	362.		0.371	14.4	0.421		0.440	0.407	0.969	0.556
I63_CRUJRA	[-]	362.		0.372	14.3	0.421		0.441	0.410	0.969	0.558
I65_CRUJRA	[-]	362.		0.558	14.4	0.421		0.443	0.405	0.969	0.556
I67_GSWP3	[-]	367.		5.22	16.0	0.611		0.437	0.432	0.956	0.564

	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	[-]	376.
I62_CRUJRA	[-]	378.		2.00	15.7	0.345		0.417	0.418	0.975	0.557
I63_CRUJRA	[-]	378.		2.04	15.8	0.345		0.418	0.417	0.975	0.557
I65_CRUJRA	[-]	378.		2.04	15.8	0.337		0.423	0.409	0.976	0.554
I67_GSWP3	[-]	384.		7.36	16.7	0.391		0.395	0.459	0.972	0.571

	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	[-]	285.
I62_CRUJRA	[-]	282.		-2.89	13.7	0.00		0.643	0.413	1.00	0.617
I63_CRUJRA	[-]	282.		-2.75	13.4	0.00		0.642	0.432	1.00	0.626
I65_CRUJRA	[-]	283.		-1.80	14.6	0.00		0.715	0.283	1.00	0.570
I67_GSWP3	[-]	290.		5.80	11.5	0.00		0.510	0.381	1.00	0.568

	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	[-]	364.
I62_CRUJRA	[-]	367.		2.63	12.3	0.386		0.512	0.464	0.974	0.603
I63_CRUJRA	[-]	366.		2.62	12.2	0.386		0.513	0.469	0.974	0.606
I65_CRUJRA	[-]	366.		2.52	12.2	0.386		0.522	0.464	0.974	0.606
I67_GSWP3	[-]	371.		6.81	13.5	0.128		0.438	0.525	0.991	0.620

	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	[-]	325.
I62_CRUJRA	[-]	320.		-4.74	7.26	0.148		0.617	0.610	0.990	0.707
I63_CRUJRA	[-]	320.		-4.61	6.98	0.148		0.628	0.627	0.990	0.718
I65_CRUJRA	[-]	321.		-3.21	7.11	0.148		0.716	0.603	0.990	0.728
I67_GSWP3	[-]	327.		1.88	7.60	0.148		0.785	0.629	0.990	0.758

	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	[-]	388.
I62_CRUJRA	[-]	391.		3.01	22.2	0.340		0.253	0.298	0.977	0.457
I63_CRUJRA	[-]	391.		3.22	22.9	0.340		0.248	0.266	0.977	0.439
I65_CRUJRA	[-]	391.		3.54	22.8	0.340		0.249	0.264	0.977	0.439
I67_GSWP3	[-]	394.		6.12	17.7	0.453		0.374	0.353	0.970	0.512

	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	[-]	450.
I62_CRUJRA	[-]	455.		4.98	6.93	0.00		0.633	0.838	1.00	0.827
I63_CRUJRA	[-]	455.		4.98	6.93	0.00		0.633	0.838	1.00	0.827
I65_CRUJRA	[-]	454.		4.29	6.49	0.00		0.673	0.837	1.00	0.837
I67_GSWP3	[-]	460.		9.94	11.7	0.00		0.267	0.750	1.00	0.692

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: LW_OUT