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	[-]	152.
I62_CRUJRA	[-]	159.		7.32	36.5	1.02		0.449	0.462	0.933	0.577
I63_CRUJRA	[-]	159.		7.32	36.5	1.02		0.449	0.462	0.933	0.577
I65_CRUJRA	[-]	159.		7.32	36.5	1.02		0.449	0.462	0.933	0.577
I67_GSWP3	[-]	197.		45.3	49.5	0.492		0.228	0.504	0.968	0.551

	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	[-]	221.
I62_CRUJRA	[-]	251.		29.5	76.0	2.04		0.342	0.355	0.713	0.441
I63_CRUJRA	[-]	251.		29.5	76.0	2.04		0.342	0.355	0.713	0.441
I65_CRUJRA	[-]	251.		29.5	76.0	2.04		0.342	0.355	0.713	0.441
I67_GSWP3	[-]	248.		27.0	61.4	2.04		0.730	0.362	0.713	0.542

	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	[-]	228.
I62_CRUJRA	[-]	242.		13.5	33.9	3.07		0.594	0.299	0.494	0.421
I63_CRUJRA	[-]	242.		13.5	33.9	3.07		0.594	0.299	0.494	0.421
I65_CRUJRA	[-]	242.		13.5	33.9	3.07		0.594	0.299	0.494	0.421
I67_GSWP3	[-]	244.		16.1	23.7	1.02		0.536	0.523	0.933	0.629

	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	[-]	100.
I62_CRUJRA	[-]	94.2		-6.12	16.7	0.508		0.938	0.849	0.966	0.901
I63_CRUJRA	[-]	94.2		-6.12	16.7	0.508		0.938	0.849	0.966	0.901
I65_CRUJRA	[-]	94.2		-6.12	16.7	0.508		0.938	0.849	0.966	0.901
I67_GSWP3	[-]	98.3		-2.05	19.5	0.508		0.979	0.816	0.966	0.894

	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	[-]	198.
I62_CRUJRA	[-]	191.		-6.92	27.9	0.00		0.678	0.223	1.00	0.531
I63_CRUJRA	[-]	191.		-6.92	27.9	0.00		0.678	0.223	1.00	0.531
I65_CRUJRA	[-]	191.		-6.92	27.9	0.00		0.678	0.223	1.00	0.531
I67_GSWP3	[-]	198.		0.203	15.9	0.00		0.989	0.410	1.00	0.702

	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.
I62_CRUJRA	[-]	130.		12.4	21.2	0.00		0.861	0.820	1.00	0.875
I63_CRUJRA	[-]	130.		12.4	21.2	0.00		0.861	0.820	1.00	0.875
I65_CRUJRA	[-]	130.		12.4	21.2	0.00		0.861	0.820	1.00	0.875
I67_GSWP3	[-]	123.		5.76	12.7	0.00		0.932	0.871	1.00	0.919

	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	[-]	170.
I62_CRUJRA	[-]	179.		8.23	25.9	1.10		0.769	0.668	0.882	0.747
I63_CRUJRA	[-]	179.		8.23	25.9	1.10		0.769	0.668	0.882	0.747
I65_CRUJRA	[-]	179.		8.23	25.9	1.10		0.769	0.668	0.882	0.747
I67_GSWP3	[-]	175.		4.19	17.4	0.933		0.872	0.740	0.903	0.814

	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	[-]	223.
I62_CRUJRA	[-]	235.		10.9	24.6	0.421		0.800	0.669	0.966	0.776
I63_CRUJRA	[-]	235.		10.9	24.6	0.421		0.800	0.669	0.966	0.776
I65_CRUJRA	[-]	235.		10.9	24.6	0.421		0.800	0.669	0.966	0.776
I67_GSWP3	[-]	224.		1.00	19.1	0.445		0.846	0.721	0.957	0.811

	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	[-]	143.
I62_CRUJRA	[-]	154.		11.8	23.4	0.354		0.846	0.797	0.977	0.854
I63_CRUJRA	[-]	154.		11.8	23.4	0.354		0.846	0.797	0.977	0.854
I65_CRUJRA	[-]	154.		11.8	23.4	0.354		0.846	0.797	0.977	0.854
I67_GSWP3	[-]	141.		-1.90	17.2	0.246		0.927	0.820	0.984	0.888

	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	[-]	167.
I62_CRUJRA	[-]	173.		6.23	23.6	0.557		0.832	0.757	0.957	0.825
I63_CRUJRA	[-]	173.		6.23	23.6	0.557		0.832	0.757	0.957	0.825
I65_CRUJRA	[-]	173.		6.23	23.6	0.557		0.832	0.757	0.957	0.825
I67_GSWP3	[-]	166.		-0.890	18.3	0.329		0.889	0.792	0.973	0.862

	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	[-]	107.
I62_CRUJRA	[-]	96.0		-11.3	22.6	0.678		0.888	0.813	0.955	0.867
I63_CRUJRA	[-]	96.0		-11.3	22.6	0.678		0.888	0.813	0.955	0.867
I65_CRUJRA	[-]	96.0		-11.3	22.6	0.678		0.888	0.813	0.955	0.867
I67_GSWP3	[-]	100.		-6.81	24.1	0.678		0.918	0.792	0.955	0.865

	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	[-]	177.
I62_CRUJRA	[-]	239.		62.2	75.2	1.02		0.159	0.378	0.933	0.462
I63_CRUJRA	[-]	239.		62.2	75.2	1.02		0.159	0.378	0.933	0.462
I65_CRUJRA	[-]	239.		62.2	75.2	1.02		0.159	0.378	0.933	0.462
I67_GSWP3	[-]	197.		19.8	26.7	0.00		0.556	0.613	1.00	0.695

	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	[-]	165.
I62_CRUJRA	[-]	169.		4.15	18.3	0.687		0.895	0.800	0.954	0.862
I63_CRUJRA	[-]	169.		4.15	18.3	0.687		0.895	0.800	0.954	0.862
I65_CRUJRA	[-]	169.		4.15	18.3	0.687		0.895	0.800	0.954	0.862
I67_GSWP3	[-]	161.		-3.85	16.9	0.357		0.904	0.818	0.976	0.879

	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	[-]	129.
I62_CRUJRA	[-]	138.		8.82	18.9	0.339		0.894	0.816	0.978	0.876
I63_CRUJRA	[-]	138.		8.82	18.9	0.339		0.894	0.816	0.978	0.876
I65_CRUJRA	[-]	138.		8.82	18.9	0.339		0.894	0.816	0.978	0.876
I67_GSWP3	[-]	133.		4.01	13.6	0.00		0.942	0.855	1.00	0.913

	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	[-]	211.
I62_CRUJRA	[-]	198.		-12.5	23.6	0.690		0.855	0.792	0.954	0.848
I63_CRUJRA	[-]	198.		-12.5	23.6	0.690		0.855	0.792	0.954	0.848
I65_CRUJRA	[-]	198.		-12.5	23.6	0.690		0.855	0.792	0.954	0.848
I67_GSWP3	[-]	203.		-8.09	16.4	0.182		0.901	0.844	0.988	0.894

	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	[-]	195.
I62_CRUJRA	[-]	203.		8.93	30.4	0.339		0.611	0.511	0.978	0.653
I63_CRUJRA	[-]	203.		8.93	30.4	0.339		0.611	0.511	0.978	0.653
I65_CRUJRA	[-]	203.		8.93	30.4	0.339		0.611	0.511	0.978	0.653
I67_GSWP3	[-]	209.		14.8	23.8	0.339		0.659	0.586	0.978	0.702

	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	[-]	195.
I62_CRUJRA	[-]	216.		20.6	30.2	1.03		0.710	0.749	0.930	0.784
I63_CRUJRA	[-]	216.		20.6	30.2	1.03		0.710	0.749	0.930	0.784
I65_CRUJRA	[-]	216.		20.6	30.2	1.03		0.710	0.749	0.930	0.784
I67_GSWP3	[-]	201.		6.25	17.7	0.00		0.901	0.744	1.00	0.848

	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	[-]	239.
I62_CRUJRA	[-]	225.		-13.5	16.4	1.03		0.833	0.769	0.930	0.825
I63_CRUJRA	[-]	225.		-13.5	16.4	1.03		0.833	0.769	0.930	0.825
I65_CRUJRA	[-]	225.		-13.5	16.4	1.03		0.833	0.769	0.930	0.825
I67_GSWP3	[-]	217.		-21.8	26.1	1.03		0.744	0.796	0.930	0.817

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: SW_IN_F