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
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
I68_CRUJRA	[-]	99.5		7.26	21.9	1.02		0.613	0.218	0.933	0.495
I69_CRUJRA	[-]	88.6		-3.65	20.2	1.02		0.805	0.228	0.933	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	[-]	82.3
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
I68_CRUJRA	[-]	81.5		-0.830	23.6	0.00		0.229	0.493	1.00	0.554
I69_CRUJRA	[-]	81.5		-0.772	27.0	0.00		0.0661	0.465	1.00	0.499

	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.
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
I68_CRUJRA	[-]	104.		-24.4	27.7	0.983		0.00	0.416	0.937	0.442
I69_CRUJRA	[-]	106.		-21.8	25.7	0.983		0.00	0.413	0.937	0.441

	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
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
I68_CRUJRA	[-]	22.3		-27.2	20.4	0.00		0.156	0.163	1.00	0.370
I69_CRUJRA	[-]	22.8		-26.6	21.2	0.00		0.158	0.155	1.00	0.367

	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.
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
I68_CRUJRA	[-]	104.		-40.4	45.6	0.00		0.00	0.272	1.00	0.386
I69_CRUJRA	[-]	104.		-40.0	45.6	0.00		0.00	0.274	1.00	0.387

	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
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
I68_CRUJRA	[-]	51.6		-15.2	15.0	0.508		0.268	0.115	0.966	0.366
I69_CRUJRA	[-]	50.8		-15.9	15.6	1.02		0.284	0.116	0.933	0.362

	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
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
I68_CRUJRA	[-]	70.5		-3.18	16.8	0.917		0.505	0.368	0.916	0.539
I69_CRUJRA	[-]	70.7		-2.91	16.5	0.713		0.521	0.381	0.929	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	[-]	122.
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
I68_CRUJRA	[-]	109.		-12.7	24.6	0.925		0.361	0.257	0.911	0.447
I69_CRUJRA	[-]	108.		-12.2	25.0	1.01		0.338	0.244	0.899	0.431

	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
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
I68_CRUJRA	[-]	62.2		-7.51	20.3	0.403		0.360	0.278	0.973	0.472
I69_CRUJRA	[-]	62.5		-7.27	20.6	0.420		0.374	0.269	0.972	0.471

	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
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
I68_CRUJRA	[-]	73.7		-13.6	23.7	0.588		0.305	0.256	0.949	0.442
I69_CRUJRA	[-]	73.3		-13.8	24.3	0.602		0.307	0.245	0.948	0.436

	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
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
I68_CRUJRA	[-]	25.8		-8.93	22.6	0.339		0.474	0.167	0.978	0.446
I69_CRUJRA	[-]	23.0		-11.7	24.4	0.339		0.322	0.131	0.978	0.391

	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.
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
I68_CRUJRA	[-]	147.		29.5	46.3	1.51		0.0301	0.0799	0.844	0.259
I69_CRUJRA	[-]	151.		34.1	49.9	1.51		0.00	0.0885	0.844	0.255

	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.
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
I68_CRUJRA	[-]	74.8		-29.1	29.6	0.848		0.229	0.167	0.922	0.371
I69_CRUJRA	[-]	74.4		-29.5	30.2	0.848		0.226	0.160	0.922	0.367

	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
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
I68_CRUJRA	[-]	58.1		-11.3	19.6	0.407		0.388	0.311	0.973	0.496
I69_CRUJRA	[-]	58.9		-10.5	19.5	0.407		0.401	0.300	0.973	0.494

	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
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
I68_CRUJRA	[-]	80.1		-17.6	27.2	0.378		0.112	0.278	0.959	0.407
I69_CRUJRA	[-]	79.3		-18.5	28.3	0.378		0.141	0.251	0.959	0.401

	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.
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
I68_CRUJRA	[-]	125.		-8.19	16.6	0.339		0.393	0.398	0.978	0.542
I69_CRUJRA	[-]	126.		-7.73	16.8	0.678		0.396	0.379	0.955	0.527

	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.
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
I68_CRUJRA	[-]	119.		-6.43	25.1	1.03		0.657	0.00	0.930	0.397
I69_CRUJRA	[-]	119.		-6.10	25.3	1.03		0.674	0.00	0.930	0.401

	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.
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
I68_CRUJRA	[-]	96.9		-20.3	12.8	0.00		0.00	0.350	1.00	0.425
I69_CRUJRA	[-]	98.6		-18.6	13.9	0.00		0.00	0.243	1.00	0.372

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