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	[-]	92.3
BCC-CSM2-MR	[-]	132.		39.9	44.8	1.00		0.264	0.450	0.935	0.525
BGCv2LND.GSW	[-]	121.		29.2	35.8	0.508		0.416	0.491	0.966	0.591
BGCv2LNDATM	[-]	125.		33.1	37.9	0.508		0.259	0.508	0.966	0.561
CanESM5	[-]	156.		63.8	66.9	3.01		0.0782	0.384	0.504	0.338
GFDL-ESM4	[-]	123.		31.0	42.5	2.52		0.367	0.344	0.536	0.398
MeanCMIP6	[-]	139.		46.5	50.6	0.00		0.199	0.451	1.00	0.525
MIROC-ES2L	[-]	157.		65.2	68.3	2.52		0.0819	0.380	0.536	0.344
UKESM1-0-LL	[-]	129.		37.1	47.0	0.508		0.270	0.346	0.966	0.482

	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	[-]	144.
BCC-CSM2-MR	[-]	146.		2.23	16.0	0.00		0.850	0.311	1.00	0.618
BGCv2LND.GSW	[-]	130.		-13.9	18.0	0.00		0.363	0.445	1.00	0.563
BGCv2LNDATM	[-]	143.		-1.63	21.7	1.02		0.888	0.203	0.933	0.557
CanESM5	[-]	134.		-9.84	19.5	1.02		0.488	0.284	0.933	0.497
GFDL-ESM4	[-]	127.		-16.7	28.9	1.02		0.295	0.200	0.933	0.407
MeanCMIP6	[-]	136.		-8.12	16.7	1.02		0.553	0.355	0.933	0.549
MIROC-ES2L	[-]	147.		3.27	19.9	1.02		0.788	0.236	0.933	0.548
UKESM1-0-LL	[-]	127.		-16.9	22.6	1.02		0.293	0.349	0.933	0.481

	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	[-]	87.4
BCC-CSM2-MR	[-]	78.6		-8.78	25.0	0.722		0.743	0.653	0.932	0.745
BGCv2LND.GSW	[-]	75.7		-12.1	23.3	0.537		0.736	0.700	0.950	0.772
BGCv2LNDATM	[-]	81.4		-6.39	22.2	0.584		0.786	0.674	0.951	0.771
CanESM5	[-]	79.8		-7.55	24.4	0.624		0.767	0.662	0.934	0.756
GFDL-ESM4	[-]	75.1		-12.3	23.8	0.603		0.736	0.681	0.944	0.761
MeanCMIP6	[-]	79.6		-7.75	21.0	0.552		0.774	0.698	0.950	0.780
MIROC-ES2L	[-]	86.1		-1.31	24.9	0.743		0.778	0.643	0.922	0.747
UKESM1-0-LL	[-]	77.1		-10.3	23.6	0.599		0.744	0.678	0.942	0.760

	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	[-]	54.7
BCC-CSM2-MR	[-]	42.0		-12.7	25.0	0.671		0.780	0.669	0.947	0.766
BGCv2LND.GSW	[-]	47.0		-7.90	20.0	0.255		0.803	0.725	0.981	0.808
BGCv2LNDATM	[-]	50.0		-4.94	19.1	0.403		0.844	0.706	0.968	0.806
CanESM5	[-]	48.6		-6.06	21.9	0.285		0.820	0.683	0.979	0.791
GFDL-ESM4	[-]	47.1		-7.56	21.1	0.346		0.828	0.695	0.971	0.797
MeanCMIP6	[-]	48.0		-6.68	19.1	0.265		0.829	0.716	0.980	0.810
MIROC-ES2L	[-]	52.2		-2.44	23.7	0.488		0.829	0.658	0.965	0.778
UKESM1-0-LL	[-]	49.1		-5.56	19.6	0.326		0.832	0.709	0.976	0.807

	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	[-]	133.
BCC-CSM2-MR	[-]	168.		34.8	40.1	1.02		0.221	0.375	0.894	0.466
BGCv2LND.GSW	[-]	143.		9.38	16.5	0.339		0.629	0.490	0.978	0.646
BGCv2LNDATM	[-]	141.		7.28	20.4	0.339		0.698	0.423	0.978	0.630
CanESM5	[-]	139.		6.18	25.8	3.06		0.757	0.312	0.436	0.454
GFDL-ESM4	[-]	145.		12.0	22.9	0.00		0.570	0.396	1.00	0.590
MeanCMIP6	[-]	153.		19.7	25.8	0.339		0.382	0.459	0.978	0.569
MIROC-ES2L	[-]	151.		17.2	26.8	3.72		0.445	0.408	0.356	0.404
UKESM1-0-LL	[-]	150.		16.4	27.6	3.72		0.449	0.348	0.354	0.375

	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	[-]	81.8
BCC-CSM2-MR	[-]	69.2		-12.6	24.1	0.574		0.776	0.690	0.958	0.779
BGCv2LND.GSW	[-]	68.7		-13.6	22.8	0.450		0.765	0.736	0.966	0.801
BGCv2LNDATM	[-]	73.0		-9.27	21.7	0.486		0.806	0.708	0.964	0.796
CanESM5	[-]	72.0		-9.81	23.5	0.371		0.792	0.701	0.973	0.792
GFDL-ESM4	[-]	67.2		-14.7	22.7	0.487		0.765	0.721	0.965	0.793
MeanCMIP6	[-]	72.3		-9.57	20.3	0.465		0.802	0.732	0.966	0.808
MIROC-ES2L	[-]	78.4		-3.39	23.5	0.545		0.821	0.684	0.960	0.787
UKESM1-0-LL	[-]	69.4		-12.4	22.9	0.443		0.778	0.713	0.968	0.793

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: NETRAD