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 - 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

	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	[-]	32.5
I65_CRUJRA	[-]	9.88		-22.7	27.8	1.52		0.343	0.610	0.816	0.595
I67_GSWP3	[-]	30.7		-1.85	13.7	3.02		0.729	0.535	0.435	0.558
I68_CRUJRA	[-]	20.7		-11.9	21.2	1.52		0.271	0.609	0.816	0.577
I69_CRUJRA	[-]	13.0		-19.5	26.5	1.52		0.339	0.600	0.816	0.589

	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	[-]	50.6
I65_CRUJRA	[-]	54.8		4.21	26.6	0.508		0.0336	0.203	0.964	0.351
I67_GSWP3	[-]	49.7		-0.900	18.7	2.03		0.817	0.181	0.702	0.470
I68_CRUJRA	[-]	56.9		6.31	25.0	1.02		0.186	0.209	0.867	0.368
I69_CRUJRA	[-]	56.6		6.03	27.1	0.508		0.0807	0.199	0.964	0.361

	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	[-]	47.7
I65_CRUJRA	[-]	69.7		21.9	41.8	0.00		0.00	0.00	1.00	0.250
I67_GSWP3	[-]	58.4		10.6	35.9	0.00		0.454	0.00	1.00	0.364
I68_CRUJRA	[-]	71.4		23.7	43.0	5.03		0.00	0.00	0.0717	0.0179
I69_CRUJRA	[-]	72.9		25.2	43.8	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	[-]	13.8
I65_CRUJRA	[-]	8.55		-5.22	19.0	0.508		0.705	0.271	0.969	0.554
I67_GSWP3	[-]	7.34		-6.43	17.1	0.508		0.615	0.363	0.969	0.577
I68_CRUJRA	[-]	8.27		-5.50	19.2	0.508		0.691	0.270	0.969	0.550
I69_CRUJRA	[-]	8.89		-4.88	19.0	0.508		0.726	0.268	0.969	0.558

	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	[-]	45.2
I65_CRUJRA	[-]	18.0		-27.2	30.2	0.00		0.00	0.603	1.00	0.551
I67_GSWP3	[-]	21.9		-23.2	25.1	0.983		0.00	0.623	0.937	0.545
I68_CRUJRA	[-]	20.0		-25.2	28.1	0.00		0.00	0.601	1.00	0.550
I69_CRUJRA	[-]	20.3		-24.9	28.0	0.00		0.00	0.603	1.00	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	[-]	22.3
I65_CRUJRA	[-]	19.4		-2.87	19.3	0.508		0.667	0.167	0.967	0.492
I67_GSWP3	[-]	14.3		-8.03	20.9	0.508		0.416	0.136	0.967	0.414
I68_CRUJRA	[-]	20.2		-2.05	18.8	0.508		0.700	0.179	0.967	0.507
I69_CRUJRA	[-]	20.1		-2.18	19.3	0.508		0.671	0.163	0.967	0.491

	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	[-]	26.9
I65_CRUJRA	[-]	34.0		7.05	19.9	1.27		0.508	0.319	0.876	0.506
I67_GSWP3	[-]	38.4		11.5	20.3	0.932		0.396	0.336	0.911	0.495
I68_CRUJRA	[-]	35.2		8.30	20.5	1.27		0.490	0.319	0.876	0.501
I69_CRUJRA	[-]	35.3		8.37	20.7	1.27		0.512	0.303	0.876	0.498

	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	[-]	52.4
I65_CRUJRA	[-]	59.6		6.34	27.7	0.927		0.334	0.200	0.937	0.418
I67_GSWP3	[-]	51.7		-0.704	26.1	0.841		0.364	0.214	0.956	0.437
I68_CRUJRA	[-]	60.9		8.53	27.5	0.886		0.336	0.224	0.939	0.431
I69_CRUJRA	[-]	61.8		8.53	28.8	0.927		0.303	0.192	0.937	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	[-]	22.1
I65_CRUJRA	[-]	25.8		3.68	24.2	1.08		0.331	0.110	0.902	0.363
I67_GSWP3	[-]	20.8		-1.30	22.7	1.08		0.306	0.101	0.907	0.354
I68_CRUJRA	[-]	26.8		4.63	24.6	1.06		0.314	0.106	0.902	0.357
I69_CRUJRA	[-]	26.6		4.41	24.5	1.08		0.332	0.105	0.902	0.361

	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	[-]	30.6
I65_CRUJRA	[-]	32.3		1.68	25.5	1.03		0.337	0.159	0.893	0.387
I67_GSWP3	[-]	29.5		-1.08	23.7	0.972		0.367	0.176	0.896	0.404
I68_CRUJRA	[-]	33.7		3.08	25.1	1.03		0.361	0.165	0.886	0.394
I69_CRUJRA	[-]	33.3		2.72	25.9	1.03		0.334	0.153	0.893	0.383

	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	[-]	4.91
I65_CRUJRA	[-]	8.12		3.20	17.2	0.678		0.886	0.405	0.944	0.660
I67_GSWP3	[-]	14.2		9.30	21.5	0.339		0.894	0.436	0.934	0.675
I68_CRUJRA	[-]	9.88		4.97	17.1	0.678		0.952	0.414	0.944	0.681
I69_CRUJRA	[-]	8.61		3.70	17.5	0.678		0.912	0.404	0.944	0.666

	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	[-]	32.1
I65_CRUJRA	[-]	36.9		4.85	18.5	1.02		0.754	0.288	0.933	0.566
I67_GSWP3	[-]	28.3		-3.80	13.5	0.00		0.807	0.441	1.00	0.672
I68_CRUJRA	[-]	38.1		6.04	19.5	1.02		0.694	0.252	0.933	0.533
I69_CRUJRA	[-]	39.9		7.84	20.1	1.02		0.603	0.288	0.933	0.528

	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	[-]	30.5
I65_CRUJRA	[-]	27.5		-3.08	26.5	1.12		0.229	0.0978	0.804	0.307
I67_GSWP3	[-]	24.9		-5.64	24.6	1.09		0.311	0.124	0.803	0.341
I68_CRUJRA	[-]	28.9		-1.60	25.1	1.12		0.322	0.102	0.804	0.332
I69_CRUJRA	[-]	28.5		-2.08	26.7	1.12		0.238	0.0949	0.804	0.308

	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	[-]	31.8
I65_CRUJRA	[-]	26.6		-5.18	21.3	0.881		0.533	0.157	0.941	0.447
I67_GSWP3	[-]	22.0		-9.83	21.6	0.542		0.331	0.209	0.966	0.429
I68_CRUJRA	[-]	26.4		-5.40	21.4	0.881		0.510	0.151	0.941	0.438
I69_CRUJRA	[-]	27.4		-4.46	21.5	0.881		0.558	0.139	0.941	0.444

	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	[-]	38.7
I65_CRUJRA	[-]	43.7		4.94	30.1	1.16		0.331	0.135	0.881	0.371
I67_GSWP3	[-]	44.1		5.37	26.6	1.05		0.424	0.164	0.895	0.412
I68_CRUJRA	[-]	45.6		6.83	28.9	1.16		0.403	0.143	0.881	0.392
I69_CRUJRA	[-]	44.1		5.41	30.5	1.16		0.331	0.129	0.881	0.368

	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	[-]	20.8
I65_CRUJRA	[-]	25.1		4.35	16.6	0.339		0.702	0.483	0.977	0.661
I67_GSWP3	[-]	24.1		3.39	12.8	0.678		0.826	0.534	0.956	0.713
I68_CRUJRA	[-]	27.0		6.20	15.9	0.339		0.677	0.510	0.977	0.668
I69_CRUJRA	[-]	28.7		7.99	17.7	0.339		0.582	0.487	0.977	0.633

	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	[-]	-10.2
I65_CRUJRA	[-]	36.2		46.4	56.9	0.00		-0.00	-0.00	1.00	0.250
I67_GSWP3	[-]	29.6		39.9	52.2	1.03		-0.00	-0.00	0.930	0.233
I68_CRUJRA	[-]	36.7		46.9	57.8	0.00		-0.00	-0.00	1.00	0.250
I69_CRUJRA	[-]	36.7		47.0	57.5	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	[-]	83.9
I65_CRUJRA	[-]	52.8		-31.1	34.9	1.03		0.00	0.00	0.930	0.233
I67_GSWP3	[-]	43.8		-40.2	51.4	1.03		0.00	0.00	0.930	0.233
I68_CRUJRA	[-]	53.7		-30.3	33.0	0.00		0.00	0.00	1.00	0.250
I69_CRUJRA	[-]	53.6		-30.3	34.6	1.03		0.00	0.00	0.930	0.233

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: H_F_MDS