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	[-]	92.3
I62_CRUJRA	[-]	84.6		-7.67	21.2	1.02		0.591	0.241	0.933	0.501
I63_CRUJRA	[-]	84.6		-7.67	21.2	1.02		0.591	0.241	0.933	0.501
I65_CRUJRA	[-]	86.7		-5.50	20.4	1.02		0.706	0.242	0.933	0.531
I67_GSWP3	[-]	108.		15.8	32.5	1.49		0.262	0.344	0.848	0.450

	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	[-]	82.3
I62_CRUJRA	[-]	73.6		-8.65	22.2	0.00		0.368	0.455	1.00	0.570
I63_CRUJRA	[-]	73.6		-8.65	22.2	0.00		0.368	0.455	1.00	0.570
I65_CRUJRA	[-]	79.7		-2.58	26.6	0.00		0.104	0.463	1.00	0.507
I67_GSWP3	[-]	75.2		-7.08	12.4	1.02		0.665	0.507	0.933	0.653

	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	[-]	128.
I62_CRUJRA	[-]	103.		-25.2	28.0	0.983		0.00	0.460	0.937	0.464
I63_CRUJRA	[-]	103.		-25.2	28.0	0.983		0.00	0.460	0.937	0.464
I65_CRUJRA	[-]	103.		-25.0	27.9	0.983		0.00	0.457	0.937	0.462
I67_GSWP3	[-]	101.		-27.0	26.1	0.983		0.00	0.475	0.937	0.472

	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	[-]	49.5
I62_CRUJRA	[-]	22.9		-26.5	20.8	0.00		0.161	0.161	1.00	0.371
I63_CRUJRA	[-]	21.0		-28.5	20.0	0.00		0.123	0.157	1.00	0.359
I65_CRUJRA	[-]	22.5		-27.0	20.8	0.00		0.150	0.162	1.00	0.368
I67_GSWP3	[-]	27.9		-21.6	20.5	0.00		0.248	0.172	1.00	0.398

	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	[-]	144.
I62_CRUJRA	[-]	101.		-43.0	48.2	0.00		0.00	0.288	1.00	0.394
I63_CRUJRA	[-]	101.		-43.0	48.2	0.00		0.00	0.288	1.00	0.394
I65_CRUJRA	[-]	102.		-42.3	47.6	0.00		0.00	0.287	1.00	0.393
I67_GSWP3	[-]	113.		-31.3	33.0	0.00		0.00	0.507	1.00	0.503

	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	[-]	66.8
I62_CRUJRA	[-]	50.7		-16.1	15.4	1.02		0.276	0.120	0.933	0.362
I63_CRUJRA	[-]	49.8		-17.0	15.5	1.02		0.264	0.123	0.933	0.361
I65_CRUJRA	[-]	50.3		-16.5	15.4	1.02		0.263	0.124	0.933	0.361
I67_GSWP3	[-]	43.8		-22.9	19.5	0.508		0.00	0.205	0.966	0.344

	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	[-]	73.7
I62_CRUJRA	[-]	69.8		-3.83	16.6	0.713		0.538	0.376	0.929	0.555
I63_CRUJRA	[-]	69.7		-3.93	16.7	0.713		0.535	0.376	0.929	0.554
I65_CRUJRA	[-]	69.6		-4.04	16.8	0.713		0.512	0.388	0.929	0.554
I67_GSWP3	[-]	75.1		1.45	16.6	0.815		0.473	0.381	0.934	0.542

	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	[-]	122.
I62_CRUJRA	[-]	105.		-15.2	26.2	1.11		0.285	0.247	0.892	0.418
I63_CRUJRA	[-]	105.		-15.2	26.2	1.11		0.285	0.246	0.892	0.417
I65_CRUJRA	[-]	106.		-14.3	25.9	1.01		0.301	0.229	0.899	0.414
I67_GSWP3	[-]	98.5		-23.1	29.0	1.06		0.134	0.335	0.881	0.421

	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	[-]	69.7
I62_CRUJRA	[-]	61.8		-7.91	20.3	0.420		0.364	0.286	0.972	0.477
I63_CRUJRA	[-]	61.6		-8.09	20.3	0.436		0.364	0.284	0.971	0.476
I65_CRUJRA	[-]	61.6		-8.14	20.4	0.420		0.361	0.284	0.972	0.475
I67_GSWP3	[-]	55.5		-14.2	23.1	0.355		0.217	0.281	0.976	0.439

	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	[-]	87.4
I62_CRUJRA	[-]	71.9		-15.1	24.4	0.612		0.291	0.259	0.947	0.439
I63_CRUJRA	[-]	71.7		-15.4	24.6	0.617		0.287	0.255	0.947	0.436
I65_CRUJRA	[-]	72.1		-15.0	24.5	0.612		0.289	0.253	0.947	0.436
I67_GSWP3	[-]	69.3		-18.0	25.0	0.603		0.214	0.297	0.945	0.438

	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	[-]	34.7
I62_CRUJRA	[-]	24.8		-9.93	22.8	0.339		0.422	0.154	0.978	0.427
I63_CRUJRA	[-]	23.8		-10.9	22.7	0.339		0.366	0.177	0.978	0.424
I65_CRUJRA	[-]	22.7		-12.0	24.4	0.339		0.310	0.141	0.978	0.392
I67_GSWP3	[-]	32.3		-2.40	22.6	0.339		0.741	0.137	0.978	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	[-]	117.
I62_CRUJRA	[-]	147.		29.9	46.2	1.51		0.0226	0.0957	0.844	0.265
I63_CRUJRA	[-]	147.		29.9	46.2	1.51		0.0226	0.0957	0.844	0.265
I65_CRUJRA	[-]	149.		31.5	47.9	1.51		0.00	0.0941	0.844	0.258
I67_GSWP3	[-]	120.		3.31	19.7	0.492		0.773	0.384	0.968	0.627

	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	[-]	104.
I62_CRUJRA	[-]	72.8		-31.0	30.7	0.848		0.201	0.168	0.922	0.365
I63_CRUJRA	[-]	72.7		-31.2	30.9	0.848		0.198	0.163	0.922	0.362
I65_CRUJRA	[-]	73.2		-30.7	30.6	0.848		0.204	0.166	0.922	0.365
I67_GSWP3	[-]	70.2		-33.7	30.1	0.820		0.133	0.224	0.919	0.375

	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	[-]	69.4
I62_CRUJRA	[-]	58.5		-10.9	18.9	0.407		0.382	0.349	0.973	0.514
I63_CRUJRA	[-]	57.9		-11.5	19.8	0.407		0.362	0.329	0.973	0.498
I65_CRUJRA	[-]	58.1		-11.3	19.4	0.407		0.376	0.322	0.973	0.499
I67_GSWP3	[-]	56.2		-13.2	17.0	0.339		0.292	0.491	0.978	0.563

	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	[-]	97.8
I62_CRUJRA	[-]	78.4		-19.4	28.5	0.378		0.127	0.266	0.959	0.405
I63_CRUJRA	[-]	77.9		-19.9	29.0	0.378		0.126	0.255	0.959	0.399
I65_CRUJRA	[-]	78.0		-19.8	29.0	0.454		0.133	0.259	0.954	0.401
I67_GSWP3	[-]	78.8		-19.0	29.3	0.603		0.0875	0.257	0.940	0.385

	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	[-]	133.
I62_CRUJRA	[-]	122.		-11.4	17.8	0.678		0.332	0.388	0.955	0.516
I63_CRUJRA	[-]	122.		-11.4	17.8	0.678		0.332	0.388	0.955	0.516
I65_CRUJRA	[-]	123.		-10.2	17.3	0.678		0.355	0.384	0.955	0.520
I67_GSWP3	[-]	126.		-6.86	15.2	0.339		0.634	0.447	0.978	0.627

	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	[-]	125.
I62_CRUJRA	[-]	116.		-9.70	24.6	1.03		0.482	0.00	0.930	0.353
I63_CRUJRA	[-]	116.		-9.70	24.6	1.03		0.482	0.00	0.930	0.353
I65_CRUJRA	[-]	118.		-6.91	25.0	1.03		0.631	0.00	0.930	0.390
I67_GSWP3	[-]	105.		-20.8	27.0	0.00		0.00	0.313	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	[-]	117.
I62_CRUJRA	[-]	95.5		-21.7	14.2	0.00		0.00	0.352	1.00	0.426
I63_CRUJRA	[-]	95.5		-21.7	14.2	0.00		0.00	0.352	1.00	0.426
I65_CRUJRA	[-]	97.7		-19.5	14.5	0.00		0.00	0.240	1.00	0.370
I67_GSWP3	[-]	93.5		-23.7	20.7	0.00		0.00	0.436	1.00	0.468

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: NETRAD