Equatorial Africa Equatorial Asia Global - Land High Latitude South America - Amazon Temperate Latitudes

	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.
BCC-CSM2-MR	[-]	417.		8.23	13.8	3.53		0.381	0.308	0.466	0.366
BGCv2LND.GSW	[-]	403.		-5.42	9.96	5.07		0.519	0.347	0.122	0.334
BGCv2LNDATM	[-]	413.		3.64	8.64	2.55		0.529	0.439	0.532	0.485
CanESM5	[-]	421.		12.3	19.4	4.59		0.203	0.254	0.153	0.216
GFDL-ESM4	[-]	415.		6.42	14.6	5.54		0.430	0.229	0.0359	0.231
MeanCMIP6	[-]	417.		7.85	13.1	5.57		0.366	0.335	0.0316	0.267
MIROC-ES2L	[-]	413.		4.53	11.9	1.02		0.614	0.292	0.933	0.533
UKESM1-0-LL	[-]	414.		4.98	12.4	6.05		0.573	0.306	7.41e-05	0.297

	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.
BCC-CSM2-MR	[-]	421.		2.47	6.95	6.05		0.568	0.241	7.41e-05	0.262
BGCv2LND.GSW	[-]	414.		-5.26	7.17	6.05		0.300	0.287	7.41e-05	0.218
BGCv2LNDATM	[-]	419.		0.203	4.99	6.05		0.955	0.320	7.41e-05	0.399
CanESM5	[-]	424.		5.12	9.37	0.00		0.310	0.213	1.00	0.434
GFDL-ESM4	[-]	420.		1.03	7.03	6.05		0.789	0.211	7.41e-05	0.303
MeanCMIP6	[-]	422.		3.50	7.09	6.05		0.449	0.297	7.41e-05	0.261
MIROC-ES2L	[-]	418.		-0.968	11.9	6.05		0.801	0.0649	7.41e-05	0.233
UKESM1-0-LL	[-]	422.		3.54	7.97	6.05		0.445	0.253	7.41e-05	0.238

	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.
BCC-CSM2-MR	[-]	309.		-3.04	21.5	0.434		0.732	0.585	0.955	0.714
BGCv2LND.GSW	[-]	310.		-2.32	21.2	0.407		0.739	0.596	0.957	0.722
BGCv2LNDATM	[-]	319.		6.80	21.5	0.431		0.691	0.629	0.961	0.728
CanESM5	[-]	310.		-2.17	21.7	0.472		0.716	0.584	0.960	0.711
GFDL-ESM4	[-]	316.		3.65	20.8	0.465		0.722	0.603	0.948	0.719
MeanCMIP6	[-]	312.		-0.144	17.6	0.476		0.740	0.669	0.954	0.758
MIROC-ES2L	[-]	317.		4.77	22.8	0.385		0.701	0.585	0.964	0.709
UKESM1-0-LL	[-]	309.		-3.78	21.6	0.581		0.728	0.586	0.943	0.711

	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	[-]	284.
BCC-CSM2-MR	[-]	279.		-4.25	21.4	0.0810		0.802	0.593	0.995	0.745
BGCv2LND.GSW	[-]	279.		-4.05	21.8	0.0422		0.808	0.585	0.997	0.744
BGCv2LNDATM	[-]	297.		13.9	23.8	0.295		0.692	0.633	0.980	0.735
CanESM5	[-]	284.		0.795	19.9	0.365		0.828	0.611	0.975	0.756
GFDL-ESM4	[-]	290.		6.06	20.8	0.0608		0.781	0.619	0.996	0.754
MeanCMIP6	[-]	284.		0.699	16.7	0.182		0.818	0.675	0.988	0.789
MIROC-ES2L	[-]	286.		2.30	23.6	0.365		0.754	0.572	0.975	0.718
UKESM1-0-LL	[-]	279.		-4.43	22.2	0.182		0.819	0.573	0.988	0.738

	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.
BCC-CSM2-MR	[-]	411.		-3.87	8.29	4.70		0.502	0.269	0.133	0.294
BGCv2LND.GSW	[-]	412.		-3.46	7.88	3.68		0.584	0.307	0.341	0.385
BGCv2LNDATM	[-]	414.		-0.647	5.42	1.34		0.778	0.412	0.752	0.588
CanESM5	[-]	422.		7.02	14.0	1.68		0.311	0.144	0.791	0.347
GFDL-ESM4	[-]	412.		-2.66	9.74	4.70		0.528	0.211	0.133	0.271
MeanCMIP6	[-]	415.		0.111	6.06	2.68		0.752	0.355	0.505	0.492
MIROC-ES2L	[-]	423.		7.60	11.2	1.34		0.324	0.264	0.752	0.401
UKESM1-0-LL	[-]	414.		-0.832	6.64	4.02		0.823	0.289	0.257	0.415

	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	[-]	300.
BCC-CSM2-MR	[-]	297.		-2.99	22.0	0.218		0.754	0.596	0.985	0.733
BGCv2LND.GSW	[-]	298.		-1.63	21.7	0.171		0.760	0.608	0.988	0.741
BGCv2LNDATM	[-]	309.		9.03	22.8	0.299		0.685	0.637	0.980	0.735
CanESM5	[-]	299.		-1.16	21.8	0.351		0.743	0.608	0.976	0.734
GFDL-ESM4	[-]	305.		5.39	21.5	0.239		0.724	0.621	0.984	0.738
MeanCMIP6	[-]	301.		1.06	18.1	0.323		0.749	0.684	0.978	0.774
MIROC-ES2L	[-]	306.		6.21	23.5	0.239		0.706	0.606	0.984	0.726
UKESM1-0-LL	[-]	297.		-2.77	22.3	0.408		0.743	0.595	0.973	0.727

Equatorial Africa Equatorial Asia Global - Land High Latitude South America - Amazon Temperate Latitudes 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