Africa - Central Africa - Sahel Africa - South Asia - East Siberia Asia - Indonesia Asia - North Central Asia - South Central Asia and China Australia Europe Global - Land North America - Alaska and Northern Canada North America - Eastern United States North America - Southern Canada North America - Western United States South America - Amazon

	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.
I65_CRUJRA	[-]	154.		14.8	24.3	1.02		0.295	0.370	0.933	0.492
I67_GSWP3	[-]	168.		29.0	33.8	0.983		0.00	0.396	0.937	0.432
I68_CRUJRA	[-]	167.		27.9	33.9	1.02		0.00	0.359	0.933	0.412
I69_CRUJRA	[-]	157.		18.1	26.8	1.02		0.138	0.356	0.933	0.446

	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	[-]	153.
I65_CRUJRA	[-]	203.		49.4	61.5	5.10		0.00	0.00	0.0631	0.0158
I67_GSWP3	[-]	180.		26.1	36.4	1.02		0.00	0.00	0.933	0.233
I68_CRUJRA	[-]	202.		48.6	60.9	5.10		0.00	0.00	0.0631	0.0158
I69_CRUJRA	[-]	205.		51.3	63.5	5.10		0.00	0.00	0.0631	0.0158

	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	[-]	200.
I65_CRUJRA	[-]	199.		-1.09	31.8	2.98		0.948	0.00	0.515	0.366
I67_GSWP3	[-]	206.		6.52	17.5	5.10		0.690	0.455	0.0631	0.416
I68_CRUJRA	[-]	200.		-0.165	33.0	2.98		0.992	0.00	0.515	0.377
I69_CRUJRA	[-]	201.		1.54	33.1	2.98		0.927	0.00	0.515	0.360

	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	[-]	74.5
I65_CRUJRA	[-]	62.6		-11.9	15.2	0.00		0.438	0.251	1.00	0.485
I67_GSWP3	[-]	65.1		-9.41	17.2	0.508		0.491	0.263	0.966	0.496
I68_CRUJRA	[-]	63.4		-11.1	15.9	0.00		0.445	0.248	1.00	0.485
I69_CRUJRA	[-]	63.2		-11.3	15.8	0.00		0.451	0.245	1.00	0.485

	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.
I65_CRUJRA	[-]	155.		-20.3	30.5	0.00		0.0338	0.240	1.00	0.378
I67_GSWP3	[-]	164.		-11.3	17.6	0.00		0.465	0.520	1.00	0.626
I68_CRUJRA	[-]	157.		-18.2	29.1	0.00		0.135	0.232	1.00	0.400
I69_CRUJRA	[-]	158.		-17.6	28.9	0.00		0.164	0.230	1.00	0.406

	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	[-]	112.
I65_CRUJRA	[-]	104.		-8.88	16.7	0.00		0.400	0.160	1.00	0.430
I67_GSWP3	[-]	95.3		-17.1	20.5	0.00		0.00	0.152	1.00	0.326
I68_CRUJRA	[-]	104.		-8.27	17.4	0.00		0.440	0.135	1.00	0.428
I69_CRUJRA	[-]	104.		-8.15	17.2	0.00		0.448	0.146	1.00	0.435

	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.
I65_CRUJRA	[-]	137.		8.29	18.5	1.53		0.443	0.292	0.823	0.462
I67_GSWP3	[-]	136.		7.07	16.7	1.27		0.522	0.420	0.840	0.550
I68_CRUJRA	[-]	138.		9.12	19.7	1.53		0.416	0.255	0.823	0.437
I69_CRUJRA	[-]	139.		9.66	19.5	1.53		0.387	0.268	0.823	0.436

	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	[-]	193.
I65_CRUJRA	[-]	193.		-0.520	19.6	0.466		0.487	0.319	0.947	0.518
I67_GSWP3	[-]	187.		-6.15	18.1	0.579		0.415	0.405	0.948	0.543
I68_CRUJRA	[-]	196.		3.20	21.0	0.445		0.440	0.316	0.949	0.505
I69_CRUJRA	[-]	195.		1.66	20.1	0.466		0.477	0.316	0.947	0.514

	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	[-]	118.
I65_CRUJRA	[-]	124.		5.52	21.1	0.450		0.376	0.280	0.970	0.477
I67_GSWP3	[-]	113.		-5.64	19.2	0.293		0.393	0.322	0.981	0.504
I68_CRUJRA	[-]	125.		6.32	21.8	0.391		0.369	0.263	0.974	0.467
I69_CRUJRA	[-]	125.		6.37	21.7	0.411		0.362	0.262	0.973	0.465

	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.
I65_CRUJRA	[-]	139.		-0.571	20.8	0.616		0.451	0.275	0.945	0.487
I67_GSWP3	[-]	134.		-5.68	18.5	0.449		0.440	0.345	0.959	0.522
I68_CRUJRA	[-]	141.		0.916	21.3	0.562		0.441	0.264	0.950	0.480
I69_CRUJRA	[-]	140.		0.701	21.3	0.588		0.448	0.263	0.947	0.480

	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	[-]	63.7
I65_CRUJRA	[-]	68.9		5.22	14.2	0.508		0.708	0.431	0.966	0.634
I67_GSWP3	[-]	77.9		14.2	18.7	0.508		0.162	0.331	0.966	0.448
I68_CRUJRA	[-]	73.0		9.38	15.6	0.508		0.454	0.379	0.966	0.545
I69_CRUJRA	[-]	69.4		5.72	14.4	0.508		0.678	0.422	0.966	0.622

	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	[-]	137.
I65_CRUJRA	[-]	134.		-2.26	18.5	0.598		0.617	0.255	0.960	0.522
I67_GSWP3	[-]	129.		-7.49	17.7	0.718		0.537	0.302	0.946	0.522
I68_CRUJRA	[-]	136.		-1.03	18.9	0.598		0.600	0.255	0.960	0.517
I69_CRUJRA	[-]	136.		-0.879	19.1	0.598		0.621	0.242	0.960	0.517

	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	[-]	113.
I65_CRUJRA	[-]	112.		-0.856	15.5	0.508		0.727	0.347	0.966	0.597
I67_GSWP3	[-]	106.		-6.45	15.6	0.290		0.563	0.387	0.972	0.578
I68_CRUJRA	[-]	112.		-0.898	16.3	0.508		0.733	0.316	0.966	0.583
I69_CRUJRA	[-]	113.		0.160	16.0	0.508		0.723	0.330	0.966	0.587

	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	[-]	181.
I65_CRUJRA	[-]	165.		-16.1	23.8	0.803		0.288	0.215	0.947	0.416
I67_GSWP3	[-]	170.		-10.7	16.6	0.107		0.397	0.385	0.993	0.540
I68_CRUJRA	[-]	165.		-15.3	23.0	0.696		0.308	0.214	0.954	0.423
I69_CRUJRA	[-]	166.		-14.9	23.4	0.696		0.316	0.208	0.954	0.422

	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.
I65_CRUJRA	[-]	170.		-4.55	17.3	0.00		0.347	0.380	1.00	0.527
I67_GSWP3	[-]	174.		-0.698	14.6	0.00		0.967	0.494	1.00	0.739
I68_CRUJRA	[-]	173.		-2.19	17.2	0.00		0.403	0.387	1.00	0.544
I69_CRUJRA	[-]	174.		-1.34	18.1	0.00		0.348	0.375	1.00	0.525

Africa - Central Africa - Sahel Africa - South Asia - East Siberia Asia - Indonesia Asia - North Central Asia - South Central Asia and China Asia - Southeast Asia and India Asia - West Siberia Australia Europe Global - Land Middle East and Sahara North America - Alaska and Northern Canada North America - Central America North America - Eastern United States North America - Southern Canada North America - Western United States South America - Amazon South America - Southeast South America - Southwest 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