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Publication Datasets

Citation	Data Set Name	Filename
J. Liu, K. W. Bowman, D. S. Schimel, N. C. Parazoo, Z. Jiang, M. Lee, A. A. Bloom, D. Wunch,C. Frankenberg, Y. Sun, C. W. O’Dell, K. R. Gurney, D. Menemenlis, M. Gierach, D. Crisp, and A. Eldering. Contrasting carbon cycle responses of the tropical continents to the 2015–2016 El Ninõ . Science,358(6360), 10 2017	NBE, GPP, and Fire (2011 & 2015)	E-GPP-fire.nc
	GPP weighted precipitation and temperature	GPP-weighted-preci-temp.nc
	Region filtering	region-mask.nc
	Gridded monthly flux product	Liu_monthly_NBE_GPP_FIRE_TER.2010-2012.2015-2016.nc
Worden, H. M., Bloom, A. A., Worden, J. R., Jiang, Z., Marais, E., Stavrakou, T., Gaubert, B., and Lacey, F.: New Constraints on Biogenic Emissions using Satellite-Based Estimates of Carbon Monoxide Fluxes, Atmos. Chem. Phys. Discuss., DOI:10.5194/acp-2019-377, in review, 2019.	Global Carbon Monoxide (CO) Flux Estimates for 2001-2015	CO_INVERSION_ATTRIBUTION_DATA_SEP17.nc
Worden, J. R., A.A. Bloom, S. Pandey, Z. Jiang, H.M. Worden, T.W. Walker, S. Houweling, T. Röckmann, (2017), Reduced biomass burning emissions reconcile conflicting estimates of the post-2006 atmospheric methane budget, Nature Communications, 8:2227, DOI:10.1038/s41467-017-02246-0.	Global Carbon Monoxide (CO) Flux Estimates for 2001-2015	CO_INVERSION_ATTRIBUTION_DATA_SEP17.nc
Konings, A. G., Bloom, A. A., Liu, J., Parazoo, N. C., Schimel, D. S., Bowman, K. W. 2019. Global satellite-driven estimates of heterotrophic respiration. Biogeosciences. 16(11), 2269-2284. DOI: 10.5194/bg-16-2269-2019	Data from: Global, satellite-driven estimates of heterotrophic respiration	doi_10.5061_dryad.298rn73__v2
Quetin, G., Bloom, A. A., Bowman, K. W., & Konings, A. (2020). Carbon flux variability from a relatively simple ecosystem model with assimilated data is consistent with terrestrial biosphere model estimates. Journal of Advances in Modeling Earth Systems, 12, e2019MS001889.	CARDAMOM outputs of Net Biosphere Exchange and Gross Primary Productivity, along with correlations between these outputs and models from the CMIP5 and TRENDY Terrestrial Biosphere Model archives	11506380.zip
Byrne, B., Liu, J., Lee, M., Baker, I., Bowman, K.W., Deutscher, N.M., Feist, D.G., Griffith, D.W., Iraci, L.T., Kiel, M., Kimball, J.S., Miller, C. E., Morino, I., Parazoo, N. C., Petri, C., Roehl, C. M., Sha, M. K., Strong, K., Velazco, P. O., Wunch, D. "Improved constraints on northern extratropical CO2 fluxes obtained by combining surface based atmospheric CO2 measurements." Journal of Geophysical Research: Atmospheres (2020): e2019JD032029.	Prior and Posterior NEE and Ocean Fluxes	Byrneetal2020.tar.gz
Liu, J., Bowman, K., Parazoo, N. C., Bloom, A. A., Wunch, D., Jiang, Z., Gurney, K. R., Schimel, D. 2018. Detecting drought impact on terrestrial biosphere carbon fluxes over contiguous US with satellite observations. Environmental Research Letters. 13(9), 095003. DOI: 10.1088/1748-9326/aad5ef.	Monthly Mean Net Biosphere Exchange	CMS-Flux.NBE.GPP.2010-2015.b73.ERL.nc
Lee, M., et. al., “21st Century Changes in Global Small-Size Aerosols from Combustion Emissions,” Journal of Geophysical Research: Atmospheres, in press. DOI: 10.1002/essoar.10507092.1	Prior and Posterior aerosol optical depth (AOD) model simulation	AOD.tar.gz
	Prior and Posterior emissions for black carbon aerosol (BC), organic carbon aerosol (OC), SO2, and NH3	AerosolEmission.tar.gz
	Prior and Posterior CO emissions	CO.tar.gz
	Global maps and annual trend statistics	Figures.tar.gz
	Prior and Posterior surface PM25 model simulation	PM25.tar.gz
Parazoo, N. C., Bowman, K. W., Baier, B. C., Liu, J., Lee, M., Kuai, L., et. al. Covariation of airborne biogenic tracers (CO2, COS, and CO) supports stronger than expected growing season photosynthetic uptake in the southeastern US. Global Biogeochemical Cycles, 35, e2021GB006956, 2021. DOI: 10.1029/2021GB006956	GOPT-COS: SIF-based estimates of plant COS fluxes	COS-posterior-GOPT_2016.tgz
		COS-posterior-GOPT_2017.tgz
		COS-posterior-GOPT_2018.tgz
		COS-posterior-GOPT_2019.tgz
Worden, J., Cusworth, D., Qu, Z., Yin, Y., Zhang, Y., Bloom, A. A., Ma, S., Byrne, B., Scarpelli, T. R., Maasakkers, J., Crisp, D., Duren, R., and Jacob, D.: The 2019 Methane Budget And Uncertainties At 1 Degree Resolution And Each Country Through Bayesian Integration Of GOSAT Total Column Methane Data And A Priori Inventory Estimates, Atmos. Chem. Phys. Discuss. [preprint], https://doi.org/10.5194/acp-2021-955, in review, 2021.	2019 Methane Budget And Uncertainties Data
		CoalPosterior.zip
		CoalPrior.zip
		FirePosterior.zip
		FirePrior.zip
		GasPosterior.zip
		GasPrior.zip
		GeoPosterior.zip
		LivestockPosterior.zip
		LivestockPrior.zip
		OilPosterior.zip
		OilPrior.zip
		RicePosterior.zip
		RicePrior.zip
		TopDownEmissions_GOSAT_GEOS_CHEM_2019.nc
		WastePosterior.zip
		WastePrior.zip
		WetlandPosterior.zip
		WetlandsPrior.zip