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	[-]	152.
BCC-CSM2-MR	[-]	199.		47.9	53.9	0.492		0.211	0.453	0.968	0.521
BGCv2LND.GSW	[-]	199.		47.7	53.3	0.492		0.211	0.454	0.968	0.522
BGCv2LNDATM	[-]	193.		41.1	49.3	0.00		0.287	0.492	1.00	0.568
CanESM5	[-]	219.		67.9	70.8	0.983		0.110	0.373	0.937	0.448
GFDL-ESM4	[-]	201.		49.5	60.4	3.01		0.202	0.371	0.504	0.362
MeanCMIP6	[-]	212.		60.6	63.6	0.983		0.138	0.491	0.937	0.514
MIROC-ES2L	[-]	225.		73.1	76.8	0.983		0.0918	0.411	0.882	0.449
UKESM1-0-LL	[-]	224.		72.0	76.6	3.02		0.0986	0.367	0.502	0.334

	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.
BCC-CSM2-MR	[-]	222.		24.0	32.7	2.00		0.260	0.247	0.756	0.378
BGCv2LND.GSW	[-]	197.		-1.35	14.2	0.00		0.927	0.453	1.00	0.708
BGCv2LNDATM	[-]	202.		4.25	31.2	1.02		0.788	0.183	0.933	0.522
CanESM5	[-]	192.		-6.37	24.0	1.02		0.700	0.269	0.933	0.543
GFDL-ESM4	[-]	202.		4.37	33.7	1.02		0.782	0.150	0.933	0.504
MeanCMIP6	[-]	203.		5.19	21.0	1.02		0.747	0.313	0.933	0.576
MIROC-ES2L	[-]	205.		6.87	36.2	1.02		0.680	0.133	0.933	0.470
UKESM1-0-LL	[-]	205.		7.28	21.9	1.02		0.665	0.306	0.933	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	[-]	167.
BCC-CSM2-MR	[-]	166.		-1.11	33.0	0.603		0.843	0.648	0.951	0.772
BGCv2LND.GSW	[-]	167.		-0.638	22.5	0.388		0.879	0.746	0.970	0.835
BGCv2LNDATM	[-]	168.		0.327	30.7	0.433		0.849	0.663	0.969	0.786
CanESM5	[-]	179.		11.6	30.7	0.464		0.822	0.683	0.964	0.788
GFDL-ESM4	[-]	166.		-0.888	27.8	0.479		0.862	0.696	0.961	0.804
MeanCMIP6	[-]	173.		5.74	23.6	0.424		0.870	0.739	0.967	0.829
MIROC-ES2L	[-]	174.		6.14	29.0	0.524		0.856	0.681	0.957	0.794
UKESM1-0-LL	[-]	179.		11.9	30.9	0.429		0.805	0.687	0.964	0.786

	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	[-]	116.
BCC-CSM2-MR	[-]	110.		-6.19	29.4	0.598		0.909	0.711	0.960	0.823
BGCv2LND.GSW	[-]	116.		-0.257	20.0	0.187		0.924	0.797	0.988	0.877
BGCv2LNDATM	[-]	109.		-7.52	29.6	0.311		0.896	0.715	0.979	0.826
CanESM5	[-]	122.		5.26	25.2	0.159		0.916	0.746	0.989	0.849
GFDL-ESM4	[-]	115.		-1.35	23.8	0.199		0.946	0.754	0.987	0.860
MeanCMIP6	[-]	120.		3.27	20.2	0.199		0.923	0.795	0.987	0.875
MIROC-ES2L	[-]	121.		4.52	24.0	0.458		0.914	0.760	0.970	0.851
UKESM1-0-LL	[-]	126.		9.14	26.6	0.0997		0.874	0.746	0.993	0.839

	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.
BCC-CSM2-MR	[-]	255.		60.9	69.4	0.339		0.196	0.407	0.978	0.497
BGCv2LND.GSW	[-]	212.		17.9	29.5	0.339		0.601	0.506	0.978	0.648
BGCv2LNDATM	[-]	203.		8.67	34.9	0.339		0.675	0.393	0.978	0.610
CanESM5	[-]	251.		56.8	68.7	0.678		0.216	0.365	0.955	0.475
GFDL-ESM4	[-]	239.		44.2	54.1	0.339		0.286	0.402	0.978	0.517
MeanCMIP6	[-]	239.		44.4	51.8	0.00		0.278	0.483	1.00	0.561
MIROC-ES2L	[-]	201.		6.88	32.5	1.36		0.738	0.416	0.871	0.610
UKESM1-0-LL	[-]	244.		49.7	60.6	0.339		0.238	0.393	0.978	0.500

	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	[-]	157.
BCC-CSM2-MR	[-]	151.		-6.09	30.8	0.546		0.892	0.688	0.964	0.808
BGCv2LND.GSW	[-]	155.		-2.20	20.7	0.421		0.910	0.786	0.969	0.863
BGCv2LNDATM	[-]	155.		-2.99	29.0	0.421		0.898	0.699	0.972	0.817
CanESM5	[-]	166.		9.26	28.4	0.422		0.864	0.726	0.970	0.822
GFDL-ESM4	[-]	152.		-5.06	25.6	0.394		0.902	0.738	0.973	0.838
MeanCMIP6	[-]	161.		3.77	21.6	0.415		0.906	0.778	0.970	0.858
MIROC-ES2L	[-]	162.		4.52	26.7	0.512		0.884	0.730	0.964	0.827
UKESM1-0-LL	[-]	167.		9.97	29.4	0.304		0.847	0.721	0.978	0.817

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: SW_IN_F