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.
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
I68_CRUJRA	[-]	467.		31.1	33.2	1.02		0.00	0.469	0.933	0.468
I69_CRUJRA	[-]	465.		28.5	30.6	1.02		0.00	0.480	0.933	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	[-]	429.
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
I68_CRUJRA	[-]	447.		17.9	25.1	1.02		0.00	0.00	0.933	0.233
I69_CRUJRA	[-]	447.		17.2	24.1	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	[-]	295.
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
I68_CRUJRA	[-]	262.		-32.9	15.0	0.00		0.00	0.00	1.00	0.250
I69_CRUJRA	[-]	262.		-33.1	15.2	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.
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
I68_CRUJRA	[-]	467.		15.5	16.0	1.02		0.00	0.708	0.933	0.587
I69_CRUJRA	[-]	468.		16.4	17.0	1.02		0.00	0.690	0.933	0.578

	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.
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
I68_CRUJRA	[-]	341.		1.34	7.40	0.00		0.893	0.597	1.00	0.772
I69_CRUJRA	[-]	341.		1.19	7.20	0.00		0.905	0.606	1.00	0.779

	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.
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
I68_CRUJRA	[-]	357.		0.605	10.7	0.00		0.526	0.603	1.00	0.683
I69_CRUJRA	[-]	356.		0.0508	10.8	0.00		0.508	0.583	1.00	0.668

	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.
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
I68_CRUJRA	[-]	437.		8.57	19.7	0.264		0.360	0.439	0.977	0.554
I69_CRUJRA	[-]	436.		6.75	19.3	0.275		0.379	0.428	0.972	0.552

	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.
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
I68_CRUJRA	[-]	362.		0.938	14.7	0.421		0.451	0.414	0.969	0.562
I69_CRUJRA	[-]	362.		0.505	14.1	0.443		0.443	0.409	0.968	0.557

	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.
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
I68_CRUJRA	[-]	379.		2.25	15.6	0.367		0.441	0.425	0.972	0.566
I69_CRUJRA	[-]	378.		2.10	15.7	0.353		0.425	0.415	0.974	0.557

	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.
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
I68_CRUJRA	[-]	282.		-2.44	13.4	0.00		0.801	0.363	1.00	0.632
I69_CRUJRA	[-]	283.		-1.65	14.5	0.00		0.714	0.284	1.00	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	[-]	364.
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
I68_CRUJRA	[-]	367.		2.72	11.7	0.386		0.544	0.498	0.974	0.628
I69_CRUJRA	[-]	367.		2.69	12.2	0.386		0.518	0.475	0.974	0.610

	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.
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
I68_CRUJRA	[-]	322.		-2.71	7.47	0.148		0.746	0.581	0.990	0.725
I69_CRUJRA	[-]	322.		-3.03	7.14	0.148		0.726	0.600	0.990	0.729

	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.
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
I68_CRUJRA	[-]	388.		0.593	20.5	0.512		0.325	0.283	0.953	0.461
I69_CRUJRA	[-]	391.		3.55	23.0	0.340		0.252	0.267	0.977	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	[-]	450.
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
I68_CRUJRA	[-]	455.		4.45	6.20	0.00		0.672	0.844	1.00	0.840
I69_CRUJRA	[-]	455.		4.97	6.93	0.00		0.633	0.837	1.00	0.827

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