Global - Land

	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	[-]	168.
norman_atkin_ball-berry_acclim	[-]	163.		-4.10	37.0	1.04		0.761	0.693	0.864	0.752
norman_atkin_ball-berry_no-acclim	[-]	163.		-4.10	37.0	1.04		0.761	0.693	0.864	0.752
norman_atkin_medlyn_acclim	[-]	163.		-4.10	37.0	1.04		0.761	0.693	0.864	0.752
norman_atkin_medlyn_no-acclim	[-]	163.		-4.10	37.0	1.04		0.761	0.693	0.864	0.752
norman_ryan_ball-berry-acclim	[-]	163.		-4.10	37.0	1.04		0.761	0.693	0.864	0.752
norman_ryan_ball-berry_no-acclim	[-]	163.		-4.10	37.0	1.04		0.761	0.693	0.864	0.752
norman_ryan_medlyn-no-acclim	[-]	163.		-4.10	37.0	1.04		0.761	0.693	0.864	0.752
norman_ryan_medlyn_acclim	[-]	163.		-4.10	37.0	1.04		0.761	0.693	0.864	0.752
two-stream_atkin_ball-berry_acclim	[-]	163.		-4.10	37.0	1.04		0.761	0.693	0.864	0.752
two-stream_atkin_ball-berry_no-acclim	[-]	163.		-4.10	37.0	1.04		0.761	0.693	0.864	0.752
two-stream_atkin_medlyn_acclim	[-]	163.		-4.10	37.0	1.04		0.761	0.693	0.864	0.752
two-stream_atkin_medlyn_no-acclim	[-]	163.		-4.10	37.0	1.04		0.761	0.693	0.864	0.752
two-stream_ryan_ball-berry_acclim	[-]	163.		-4.10	37.0	1.04		0.761	0.693	0.864	0.752
two-stream_ryan_ball-berry_no-acclim	[-]	163.		-4.10	37.0	1.04		0.761	0.693	0.864	0.752
two-stream_ryan_medlyn_acclim	[-]	163.		-4.10	37.0	1.04		0.761	0.693	0.864	0.752
two-stream_ryan_medlyn_no-acclim	[-]	163.		-4.10	37.0	1.04		0.761	0.693	0.864	0.752

Global - Land 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