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
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
I68_CRUJRA	[-]	31.5		14.1	15.0	0.00		0.00	0.628	1.00	0.564
I69_CRUJRA	[-]	29.9		12.5	13.6	0.00		0.00	0.606	1.00	0.553

	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
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
I68_CRUJRA	[-]	66.9		-12.9	14.8	1.02		0.236	0.588	0.933	0.586
I69_CRUJRA	[-]	62.5		-17.3	19.4	1.02		0.00	0.546	0.933	0.506

	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
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
I68_CRUJRA	[-]	41.3		9.14	9.58	0.00		0.00	0.612	1.00	0.556
I69_CRUJRA	[-]	40.1		7.93	8.45	0.00		0.124	0.623	1.00	0.592

	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
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
I68_CRUJRA	[-]	31.0		-13.5	26.1	0.00		0.325	0.243	1.00	0.453
I69_CRUJRA	[-]	31.1		-13.4	26.6	0.00		0.333	0.232	1.00	0.449

	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
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
I68_CRUJRA	[-]	32.8		10.5	11.5	2.00		0.00	0.539	0.756	0.459
I69_CRUJRA	[-]	32.9		10.7	11.5	2.00		0.00	0.542	0.756	0.460

	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
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
I68_CRUJRA	[-]	24.4		17.2	23.4	0.00		0.00	0.00	1.00	0.250
I69_CRUJRA	[-]	23.8		16.7	22.9	0.00		0.00	0.00	1.00	0.250

	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
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
I68_CRUJRA	[-]	31.2		-1.96	11.2	0.508		0.328	0.437	0.966	0.542
I69_CRUJRA	[-]	30.9		-2.24	11.4	0.508		0.310	0.433	0.966	0.536

	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
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
I68_CRUJRA	[-]	39.8		5.20	9.72	1.15		0.496	0.570	0.856	0.623
I69_CRUJRA	[-]	39.5		4.48	9.43	1.11		0.497	0.550	0.856	0.613

	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
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
I68_CRUJRA	[-]	27.4		3.49	13.3	0.918		0.302	0.377	0.885	0.485
I69_CRUJRA	[-]	27.5		3.64	13.4	0.879		0.294	0.367	0.890	0.479

	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
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
I68_CRUJRA	[-]	32.3		3.19	13.2	1.20		0.322	0.394	0.834	0.486
I69_CRUJRA	[-]	32.4		3.19	13.4	1.16		0.320	0.395	0.839	0.487

	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
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
I68_CRUJRA	[-]	25.1		-15.2	26.7	0.508		0.121	0.107	0.966	0.325
I69_CRUJRA	[-]	28.7		-11.6	18.9	0.508		0.370	0.410	0.966	0.539

	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
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
I68_CRUJRA	[-]	32.9		0.580	13.7	3.15		0.294	0.165	0.439	0.266
I69_CRUJRA	[-]	33.0		0.595	14.3	3.15		0.277	0.181	0.439	0.269

	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
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
I68_CRUJRA	[-]	26.3		8.27	12.0	1.31		0.264	0.538	0.828	0.542
I69_CRUJRA	[-]	25.2		7.20	11.1	1.09		0.316	0.569	0.872	0.582

	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
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
I68_CRUJRA	[-]	35.2		-2.68	12.0	0.799		0.373	0.389	0.923	0.518
I69_CRUJRA	[-]	35.8		-2.03	13.0	0.801		0.329	0.387	0.923	0.506

	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
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
I68_CRUJRA	[-]	36.8		14.5	16.5	0.00		0.00	0.581	1.00	0.540
I69_CRUJRA	[-]	37.1		14.8	16.9	0.508		0.00	0.566	0.966	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_OUT