Articles | Volume 19, issue 21
Atmos. Chem. Phys., 19, 13569–13579, 2019
https://doi.org/10.5194/acp-19-13569-2019
Atmos. Chem. Phys., 19, 13569–13579, 2019
https://doi.org/10.5194/acp-19-13569-2019

Research article 08 Nov 2019

Research article | 08 Nov 2019

New constraints on biogenic emissions using satellite-based estimates of carbon monoxide fluxes

Helen M. Worden et al.

Data sets

Global Carbon Monoxide (CO) Flux Estimates for 2001-2015 A. A. Bloom, Z. Jiang, and H. Worden https://doi.org/10.26024/r1r2-6620

The MOPITT Version 6 product: algorithm enhancements and validation (https://eosweb.larc.nasa.gov/datapool) M. N. Deeter, S. Martínez-Alonso, D. P. Edwards, L. K. Emmons, J. C. Gille, H. M. Worden, C. Sweeney, J. V. Pittman, B. C. Daube, and S. C. Wofsy https://doi.org/10.5194/amt-7-3623-2014

Nine years of global hydrocarbon emissions based on source inversion of OMI formaldehyde observations (http://emissions.aeronomie.be/index.php/omi-based/biogenic) M. Bauwens, T. Stavrakou, J.-F. M\"{u}ller, I. De Smedt, M. Van Roozendael, G. R. van der Werf, C. Wiedinmyer, J. W. Kaiser, K. Sindelarova, and A. Guenther https://doi.org/10.5194/acp-16-10133-2016

Download
Short summary
Biogenic non-methane volatile organic compounds (NMVOCs) emitted from vegetation play a significant role in air quality and climate. However, there are large uncertainties in their role for climate. We present a Bayesian approach to estimate carbon monoxide fluxes that are chemically produced from biogenic sources. This provides independent constraints on models that predict biogenic emissions in order improve their capability for predicting air quality and future climate scenarios.
Altmetrics
Final-revised paper
Preprint