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	[-]	17.4
I62_CRUJRA	[-]	33.5		16.2	17.0	0.00		0.00	0.565	1.00	0.533
I63_CRUJRA	[-]	33.5		16.2	17.0	0.00		0.00	0.565	1.00	0.533
I65_CRUJRA	[-]	33.2		15.8	16.7	0.00		0.00	0.569	1.00	0.534
I67_GSWP3	[-]	31.4		14.0	14.3	2.00		0.00	0.727	0.756	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	[-]	79.8
I62_CRUJRA	[-]	72.1		-7.73	11.1	1.02		0.543	0.504	0.933	0.621
I63_CRUJRA	[-]	72.1		-7.73	11.1	1.02		0.543	0.504	0.933	0.621
I65_CRUJRA	[-]	64.4		-15.4	17.6	1.02		0.0890	0.544	0.933	0.527
I67_GSWP3	[-]	56.9		-22.9	25.9	0.00		0.00	0.544	1.00	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	[-]	32.2
I62_CRUJRA	[-]	42.9		10.7	11.4	1.02		0.00	0.561	0.933	0.514
I63_CRUJRA	[-]	42.9		10.7	11.4	1.02		0.00	0.561	0.933	0.514
I65_CRUJRA	[-]	42.7		10.6	11.2	1.02		0.00	0.566	0.933	0.516
I67_GSWP3	[-]	37.8		5.60	5.51	0.00		0.382	0.798	1.00	0.744

	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	[-]	44.5
I62_CRUJRA	[-]	31.3		-13.2	26.5	0.00		0.343	0.232	1.00	0.452
I63_CRUJRA	[-]	32.9		-11.6	23.7	0.00		0.375	0.305	1.00	0.496
I65_CRUJRA	[-]	31.6		-12.9	26.0	0.00		0.349	0.248	1.00	0.461
I67_GSWP3	[-]	33.2		-11.3	23.4	0.00		0.445	0.282	1.00	0.502

	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	[-]	22.2
I62_CRUJRA	[-]	35.9		13.7	14.4	2.00		0.00	0.505	0.756	0.441
I63_CRUJRA	[-]	35.9		13.7	14.4	2.00		0.00	0.505	0.756	0.441
I65_CRUJRA	[-]	35.7		13.4	14.2	2.00		0.00	0.508	0.756	0.443
I67_GSWP3	[-]	33.7		11.5	11.9	2.00		0.00	0.725	0.756	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	[-]	7.13
I62_CRUJRA	[-]	24.8		17.7	24.2	0.00		0.00	0.00	1.00	0.250
I63_CRUJRA	[-]	25.0		17.8	24.4	0.00		0.00	0.00	1.00	0.250
I65_CRUJRA	[-]	24.6		17.4	23.9	0.00		0.00	0.00	1.00	0.250
I67_GSWP3	[-]	23.0		15.8	20.3	3.05		0.00	0.0913	0.498	0.170

	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	[-]	33.2
I62_CRUJRA	[-]	32.7		-0.483	11.2	0.508		0.311	0.427	0.966	0.533
I63_CRUJRA	[-]	32.6		-0.602	11.2	0.508		0.330	0.419	0.966	0.534
I65_CRUJRA	[-]	32.3		-0.866	11.2	0.508		0.349	0.416	0.966	0.537
I67_GSWP3	[-]	30.7		-2.52	10.5	0.508		0.358	0.467	0.966	0.564

	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	[-]	34.6
I62_CRUJRA	[-]	41.7		6.63	10.6	1.16		0.437	0.507	0.853	0.576
I63_CRUJRA	[-]	41.7		6.63	10.7	1.16		0.436	0.506	0.853	0.575
I65_CRUJRA	[-]	41.7		6.66	10.8	1.16		0.425	0.512	0.853	0.576
I67_GSWP3	[-]	37.2		2.64	8.35	0.929		0.519	0.585	0.894	0.646

	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	[-]	23.9
I62_CRUJRA	[-]	28.5		4.58	13.8	0.879		0.287	0.341	0.890	0.465
I63_CRUJRA	[-]	28.7		4.78	14.0	0.879		0.291	0.336	0.891	0.464
I65_CRUJRA	[-]	28.4		4.49	13.8	0.879		0.292	0.345	0.890	0.468
I67_GSWP3	[-]	24.8		0.957	12.7	0.937		0.273	0.398	0.874	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	[-]	29.1
I62_CRUJRA	[-]	33.8		4.68	14.1	1.20		0.306	0.359	0.837	0.465
I63_CRUJRA	[-]	34.1		4.92	14.3	1.19		0.302	0.354	0.840	0.462
I65_CRUJRA	[-]	33.6		4.46	14.0	1.20		0.304	0.371	0.837	0.471
I67_GSWP3	[-]	30.6		1.43	12.6	1.21		0.333	0.421	0.827	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	[-]	40.3
I62_CRUJRA	[-]	27.6		-12.8	22.3	0.508		0.252	0.239	0.966	0.424
I63_CRUJRA	[-]	28.2		-12.2	21.1	0.508		0.263	0.280	0.966	0.448
I65_CRUJRA	[-]	29.2		-11.1	18.4	0.508		0.393	0.422	0.966	0.551
I67_GSWP3	[-]	25.2		-15.2	29.8	0.508		0.283	0.132	0.966	0.378

	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	[-]	32.4
I62_CRUJRA	[-]	34.5		2.14	14.6	3.15		0.252	0.160	0.439	0.253
I63_CRUJRA	[-]	34.8		2.40	15.0	3.15		0.251	0.148	0.439	0.246
I65_CRUJRA	[-]	34.3		1.97	14.6	3.15		0.245	0.160	0.439	0.251
I67_GSWP3	[-]	31.4		-0.930	13.3	3.27		0.373	0.173	0.410	0.283

	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	[-]	18.1
I62_CRUJRA	[-]	27.4		9.33	13.7	1.09		0.236	0.464	0.872	0.509
I63_CRUJRA	[-]	27.7		9.64	14.3	1.09		0.228	0.431	0.872	0.490
I65_CRUJRA	[-]	26.3		8.22	12.3	1.09		0.283	0.518	0.872	0.548
I67_GSWP3	[-]	26.9		8.83	12.3	1.38		0.237	0.537	0.810	0.530

	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	[-]	37.9
I62_CRUJRA	[-]	37.1		-0.812	12.3	0.961		0.395	0.371	0.912	0.512
I63_CRUJRA	[-]	37.6		-0.313	13.1	0.858		0.363	0.368	0.931	0.507
I65_CRUJRA	[-]	37.0		-0.854	13.0	0.961		0.351	0.377	0.912	0.504
I67_GSWP3	[-]	35.5		-2.36	11.1	0.694		0.374	0.445	0.930	0.549

	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	[-]	22.3
I62_CRUJRA	[-]	40.8		18.5	20.5	0.508		0.00	0.551	0.966	0.517
I63_CRUJRA	[-]	40.8		18.5	20.5	0.508		0.00	0.551	0.966	0.517
I65_CRUJRA	[-]	40.3		18.0	20.0	0.508		0.00	0.559	0.966	0.521
I67_GSWP3	[-]	36.8		14.5	15.1	0.00		0.00	0.771	1.00	0.635

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_OUT