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	[-]	409.
I62_CRUJRA	[-]	414.		4.69	7.67	5.57		0.555	0.443	0.0316	0.368
I63_CRUJRA	[-]	414.		4.69	7.67	5.57		0.555	0.443	0.0316	0.368
I65_CRUJRA	[-]	414.		4.69	7.67	5.57		0.555	0.443	0.0316	0.368
I67_GSWP3	[-]	408.		-1.14	8.09	5.07		0.514	0.446	0.122	0.382

	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	[-]	377.
I62_CRUJRA	[-]	372.		-4.14	9.16	1.03		0.889	0.773	0.930	0.842
I63_CRUJRA	[-]	372.		-4.14	9.16	1.03		0.889	0.773	0.930	0.842
I65_CRUJRA	[-]	372.		-4.14	9.16	1.03		0.889	0.773	0.930	0.842
I67_GSWP3	[-]	384.		7.94	14.9	1.02		0.798	0.713	0.932	0.789

	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	[-]	358.
I62_CRUJRA	[-]	352.		-6.45	8.32	0.983		0.805	0.852	0.937	0.862
I63_CRUJRA	[-]	352.		-6.45	8.32	0.983		0.805	0.852	0.937	0.862
I65_CRUJRA	[-]	352.		-6.45	8.32	0.983		0.805	0.852	0.937	0.862
I67_GSWP3	[-]	353.		-4.90	11.9	1.03		0.848	0.702	0.930	0.796

	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	[-]	247.
I62_CRUJRA	[-]	221.		-25.3	29.6	0.00		0.620	0.691	1.00	0.750
I63_CRUJRA	[-]	221.		-25.3	29.6	0.00		0.620	0.691	1.00	0.750
I65_CRUJRA	[-]	221.		-25.3	29.6	0.00		0.620	0.691	1.00	0.750
I67_GSWP3	[-]	233.		-13.8	22.9	0.00		0.767	0.716	1.00	0.800

	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	[-]	419.
I62_CRUJRA	[-]	414.		-4.65	8.45	5.03		0.345	0.242	0.0717	0.225
I63_CRUJRA	[-]	414.		-4.65	8.45	5.03		0.345	0.242	0.0717	0.225
I65_CRUJRA	[-]	414.		-4.65	8.45	5.03		0.345	0.242	0.0717	0.225
I67_GSWP3	[-]	416.		-2.47	5.92	6.05		0.568	0.280	7.41e-05	0.282

	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	[-]	282.
I62_CRUJRA	[-]	276.		-6.20	7.95	0.00		0.852	0.846	1.00	0.886
I63_CRUJRA	[-]	276.		-6.20	7.95	0.00		0.852	0.846	1.00	0.886
I65_CRUJRA	[-]	276.		-6.20	7.95	0.00		0.852	0.846	1.00	0.886
I67_GSWP3	[-]	281.		-0.857	16.1	0.00		0.795	0.736	1.00	0.817

	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	[-]	279.
I62_CRUJRA	[-]	275.		-3.69	11.0	0.517		0.847	0.885	0.965	0.895
I63_CRUJRA	[-]	275.		-3.69	11.0	0.517		0.847	0.885	0.965	0.895
I65_CRUJRA	[-]	275.		-3.69	11.0	0.517		0.847	0.885	0.965	0.895
I67_GSWP3	[-]	293.		14.4	19.3	0.517		0.785	0.821	0.965	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	[-]	359.
I62_CRUJRA	[-]	349.		-9.92	15.6	0.588		0.619	0.748	0.952	0.767
I63_CRUJRA	[-]	349.		-9.92	15.6	0.588		0.619	0.748	0.952	0.767
I65_CRUJRA	[-]	349.		-9.92	15.6	0.588		0.619	0.748	0.952	0.767
I67_GSWP3	[-]	355.		-4.67	15.9	0.740		0.673	0.676	0.947	0.743

	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	[-]	311.
I62_CRUJRA	[-]	300.		-11.0	15.2	0.251		0.674	0.767	0.983	0.798
I63_CRUJRA	[-]	300.		-11.0	15.2	0.251		0.674	0.767	0.983	0.798
I65_CRUJRA	[-]	300.		-11.0	15.2	0.251		0.674	0.767	0.983	0.798
I67_GSWP3	[-]	309.		-1.97	16.8	0.188		0.719	0.672	0.987	0.763

	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	[-]	312.
I62_CRUJRA	[-]	305.		-7.07	14.1	0.361		0.726	0.767	0.964	0.806
I63_CRUJRA	[-]	305.		-7.07	14.1	0.361		0.726	0.767	0.964	0.806
I65_CRUJRA	[-]	305.		-7.07	14.1	0.361		0.726	0.767	0.964	0.806
I67_GSWP3	[-]	312.		-0.508	15.9	0.429		0.743	0.712	0.954	0.780

	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	[-]	249.
I62_CRUJRA	[-]	236.		-13.8	17.6	0.00		0.766	0.788	1.00	0.835
I63_CRUJRA	[-]	236.		-13.8	17.6	0.00		0.766	0.788	1.00	0.835
I65_CRUJRA	[-]	236.		-13.8	17.6	0.00		0.766	0.788	1.00	0.835
I67_GSWP3	[-]	245.		-4.51	17.4	0.00		0.918	0.764	1.00	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	[-]	409.
I62_CRUJRA	[-]	413.		4.89	5.36	2.03		0.494	0.654	0.749	0.637
I63_CRUJRA	[-]	413.		4.89	5.36	2.03		0.494	0.654	0.749	0.637
I65_CRUJRA	[-]	413.		4.89	5.36	2.03		0.494	0.654	0.749	0.637
I67_GSWP3	[-]	417.		8.30	8.57	2.03		0.302	0.609	0.749	0.567

	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	[-]	312.
I62_CRUJRA	[-]	304.		-8.59	14.6	0.111		0.796	0.841	0.993	0.868
I63_CRUJRA	[-]	304.		-8.59	14.6	0.111		0.796	0.841	0.993	0.868
I65_CRUJRA	[-]	304.		-8.59	14.6	0.111		0.796	0.841	0.993	0.868
I67_GSWP3	[-]	310.		-2.10	14.1	0.111		0.831	0.810	0.993	0.861

	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	[-]	266.
I62_CRUJRA	[-]	260.		-6.00	9.79	0.00		0.889	0.857	1.00	0.901
I63_CRUJRA	[-]	260.		-6.00	9.79	0.00		0.889	0.857	1.00	0.901
I65_CRUJRA	[-]	260.		-6.00	9.79	0.00		0.889	0.857	1.00	0.901
I67_GSWP3	[-]	268.		2.32	10.1	0.00		0.931	0.827	1.00	0.896

	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	[-]	302.
I62_CRUJRA	[-]	305.		2.93	16.0	0.185		0.695	0.649	0.988	0.745
I63_CRUJRA	[-]	305.		2.93	16.0	0.185		0.695	0.649	0.988	0.745
I65_CRUJRA	[-]	305.		2.93	16.0	0.185		0.695	0.649	0.988	0.745
I67_GSWP3	[-]	301.		-0.777	19.1	0.332		0.650	0.672	0.978	0.743

	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	[-]	415.
I62_CRUJRA	[-]	413.		-2.49	4.72	1.01		0.626	0.559	0.835	0.645
I63_CRUJRA	[-]	413.		-2.49	4.72	1.01		0.626	0.559	0.835	0.645
I65_CRUJRA	[-]	413.		-2.49	4.72	1.01		0.626	0.559	0.835	0.645
I67_GSWP3	[-]	415.		-0.615	6.44	4.36		0.640	0.356	0.217	0.392

	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	[-]	365.
I62_CRUJRA	[-]	365.		0.855	3.38	0.983		0.970	0.889	0.937	0.921
I63_CRUJRA	[-]	365.		0.855	3.38	0.983		0.970	0.889	0.937	0.921
I65_CRUJRA	[-]	365.		0.855	3.38	0.983		0.970	0.889	0.937	0.921
I67_GSWP3	[-]	371.		6.37	10.7	0.983		0.797	0.741	0.937	0.804

	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	[-]	318.
I62_CRUJRA	[-]	320.		1.70	11.2	0.983		0.954	0.720	0.937	0.833
I63_CRUJRA	[-]	320.		1.70	11.2	0.983		0.954	0.720	0.937	0.833
I65_CRUJRA	[-]	320.		1.70	11.2	0.983		0.954	0.720	0.937	0.833
I67_GSWP3	[-]	331.		12.2	15.9	0.983		0.714	0.686	0.937	0.756

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_IN_F