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	[-]	139.
BCC-CSM2-MR	[-]	176.		37.4	38.0	1.02		0.270	0.552	0.933	0.577
BGCv2LND.GSW	[-]	179.		40.6	46.9	0.983		0.242	0.496	0.937	0.543
BGCv2LNDATM	[-]	183.		44.0	52.5	0.00		0.215	0.498	1.00	0.553
CanESM5	[-]	210.		71.5	76.6	0.983		0.0823	0.392	0.937	0.451
GFDL-ESM4	[-]	172.		33.3	41.8	0.983		0.313	0.438	0.937	0.531
MeanCMIP6	[-]	189.		50.5	52.4	0.983		0.171	0.549	0.937	0.552
MIROC-ES2L	[-]	211.		71.7	73.5	0.983		0.0817	0.447	0.937	0.478
UKESM1-0-LL	[-]	195.		56.1	60.2	1.02		0.141	0.389	0.933	0.463

	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	[-]	176.
BCC-CSM2-MR	[-]	192.		16.3	24.9	1.02		0.360	0.273	0.933	0.459
BGCv2LND.GSW	[-]	171.		-5.16	13.7	0.00		0.723	0.457	1.00	0.659
BGCv2LNDATM	[-]	175.		-0.666	26.4	1.02		0.959	0.190	0.933	0.568
CanESM5	[-]	171.		-4.67	21.3	1.02		0.746	0.269	0.933	0.554
GFDL-ESM4	[-]	175.		-0.622	28.2	1.02		0.962	0.171	0.933	0.559
MeanCMIP6	[-]	178.		2.66	17.8	1.02		0.846	0.327	0.933	0.608
MIROC-ES2L	[-]	182.		6.75	31.9	1.02		0.654	0.137	0.933	0.465
UKESM1-0-LL	[-]	169.		-6.61	19.5	1.02		0.660	0.324	0.933	0.560

	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	[-]	140.
BCC-CSM2-MR	[-]	138.		-1.99	31.6	0.648		0.807	0.608	0.945	0.742
BGCv2LND.GSW	[-]	138.		-1.85	22.2	0.473		0.841	0.706	0.958	0.803
BGCv2LNDATM	[-]	138.		-1.84	28.1	0.559		0.839	0.630	0.951	0.763
CanESM5	[-]	145.		5.31	28.7	0.584		0.810	0.645	0.952	0.763
GFDL-ESM4	[-]	132.		-7.92	26.4	0.605		0.808	0.662	0.949	0.770
MeanCMIP6	[-]	140.		0.415	23.0	0.555		0.847	0.693	0.952	0.796
MIROC-ES2L	[-]	145.		5.41	28.8	0.547		0.819	0.640	0.953	0.763
UKESM1-0-LL	[-]	140.		0.380	27.7	0.512		0.818	0.650	0.957	0.769

	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	[-]	94.5
BCC-CSM2-MR	[-]	86.4		-8.08	31.0	0.781		0.863	0.643	0.936	0.771
BGCv2LND.GSW	[-]	94.4		0.0224	21.6	0.412		0.875	0.748	0.964	0.834
BGCv2LNDATM	[-]	88.5		-5.91	27.2	0.460		0.886	0.669	0.958	0.795
CanESM5	[-]	95.2		0.729	26.3	0.379		0.895	0.683	0.972	0.808
GFDL-ESM4	[-]	89.7		-4.73	25.4	0.379		0.857	0.691	0.968	0.802
MeanCMIP6	[-]	93.6		-0.826	21.4	0.331		0.899	0.725	0.975	0.831
MIROC-ES2L	[-]	99.0		4.53	25.2	0.544		0.873	0.699	0.961	0.808
UKESM1-0-LL	[-]	95.6		1.12	24.5	0.260		0.894	0.695	0.977	0.815

	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	[-]	175.
BCC-CSM2-MR	[-]	221.		46.4	55.1	0.508		0.205	0.384	0.966	0.485
BGCv2LND.GSW	[-]	186.		11.1	20.7	0.00		0.646	0.524	1.00	0.674
BGCv2LNDATM	[-]	178.		3.09	29.7	0.00		0.805	0.317	1.00	0.610
CanESM5	[-]	216.		41.5	52.3	1.02		0.247	0.331	0.933	0.460
GFDL-ESM4	[-]	207.		31.9	40.8	0.00		0.329	0.410	1.00	0.537
MeanCMIP6	[-]	206.		31.6	39.7	0.00		0.296	0.478	1.00	0.563
MIROC-ES2L	[-]	180.		4.97	24.4	1.02		0.700	0.441	0.933	0.628
UKESM1-0-LL	[-]	208.		32.7	45.3	0.508		0.281	0.347	0.966	0.486

	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	[-]	129.
BCC-CSM2-MR	[-]	124.		-4.74	31.0	0.604		0.861	0.650	0.957	0.780
BGCv2LND.GSW	[-]	126.		-2.52	21.6	0.458		0.874	0.749	0.964	0.834
BGCv2LNDATM	[-]	124.		-4.54	27.6	0.468		0.883	0.671	0.964	0.798
CanESM5	[-]	133.		4.26	28.1	0.433		0.852	0.692	0.968	0.801
GFDL-ESM4	[-]	116.		-12.2	26.5	0.473		0.817	0.706	0.966	0.799
MeanCMIP6	[-]	127.		-1.07	22.7	0.503		0.886	0.731	0.962	0.828
MIROC-ES2L	[-]	133.		4.39	28.0	0.554		0.862	0.689	0.960	0.800
UKESM1-0-LL	[-]	128.		-0.563	27.7	0.373		0.860	0.688	0.973	0.802

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-SW_OUT