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.
I62_CRUJRA	[-]	153.		14.5	24.1	1.02		0.310	0.370	0.933	0.496
I63_CRUJRA	[-]	153.		14.5	24.1	1.02		0.310	0.370	0.933	0.496
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

	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.
I62_CRUJRA	[-]	195.		41.8	53.0	1.02		0.00	0.00	0.933	0.233
I63_CRUJRA	[-]	195.		41.8	53.0	1.02		0.00	0.00	0.933	0.233
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

	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.
I62_CRUJRA	[-]	199.		-1.24	31.7	2.98		0.941	0.00	0.515	0.364
I63_CRUJRA	[-]	199.		-1.24	31.7	2.98		0.941	0.00	0.515	0.364
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

	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
I62_CRUJRA	[-]	62.9		-11.6	15.7	0.00		0.443	0.250	1.00	0.486
I63_CRUJRA	[-]	61.3		-13.2	13.6	0.00		0.417	0.262	1.00	0.485
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

	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.
I62_CRUJRA	[-]	155.		-20.6	30.7	0.00		0.0228	0.241	1.00	0.376
I63_CRUJRA	[-]	155.		-20.6	30.7	0.00		0.0228	0.241	1.00	0.376
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

	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.
I62_CRUJRA	[-]	103.		-9.11	16.6	0.00		0.384	0.164	1.00	0.428
I63_CRUJRA	[-]	103.		-9.29	16.8	0.00		0.371	0.155	1.00	0.420
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

	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.
I62_CRUJRA	[-]	137.		7.90	18.0	1.53		0.469	0.303	0.823	0.474
I63_CRUJRA	[-]	137.		8.02	18.3	1.53		0.461	0.293	0.823	0.467
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

	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.
I62_CRUJRA	[-]	193.		-0.488	19.2	0.466		0.497	0.326	0.947	0.524
I63_CRUJRA	[-]	193.		-0.490	19.2	0.466		0.497	0.325	0.947	0.524
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

	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.
I62_CRUJRA	[-]	124.		5.42	21.0	0.450		0.382	0.281	0.970	0.479
I63_CRUJRA	[-]	124.		5.22	21.0	0.450		0.387	0.279	0.970	0.479
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

	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.
I62_CRUJRA	[-]	139.		-0.788	20.6	0.587		0.454	0.279	0.951	0.491
I63_CRUJRA	[-]	139.		-1.04	20.7	0.573		0.452	0.274	0.954	0.488
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

	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
I62_CRUJRA	[-]	70.5		6.87	13.3	0.508		0.605	0.457	0.966	0.621
I63_CRUJRA	[-]	70.0		6.30	12.6	0.508		0.637	0.478	0.966	0.640
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

	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.
I62_CRUJRA	[-]	134.		-2.42	18.5	0.598		0.616	0.255	0.960	0.522
I63_CRUJRA	[-]	134.		-2.69	18.7	0.598		0.612	0.246	0.960	0.516
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

	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.
I62_CRUJRA	[-]	111.		-1.97	15.2	0.508		0.728	0.360	0.966	0.603
I63_CRUJRA	[-]	110.		-2.28	15.6	0.508		0.717	0.343	0.966	0.592
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

	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.
I62_CRUJRA	[-]	164.		-16.1	23.3	0.803		0.286	0.221	0.947	0.419
I63_CRUJRA	[-]	164.		-16.6	24.1	0.803		0.279	0.213	0.947	0.413
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

	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.
I62_CRUJRA	[-]	170.		-5.04	17.2	0.00		0.352	0.382	1.00	0.529
I63_CRUJRA	[-]	170.		-5.04	17.2	0.00		0.352	0.382	1.00	0.529
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

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