Atmospheric Composition Modeling and Analysis Program

Zhang, Y., et al. (2021), Attribution of the accelerating increase in atmospheric methane during 2010–2018 by inverse analysis of GOSAT observations, Atmos. Chem. Phys., 21, 3643-3666, doi:10.5194/acp-21-3643-2021.

Maasakkers, J.D., et al. (2021), 2010–2015 North American methane emissions, sectoral contributions, and trends: a high-resolution inversion of GOSAT observations of atmospheric methane, Atmos. Chem. Phys., 21, 4339-4356, doi:10.5194/acp-21-4339-2021.

Wang, Y., et al. (2020), Inverse modeling of SO2 and NOx emissions over China using multisensor satellite data - Part 1: Formulation and sensitivity analysis, Atmos. Chem. Phys., 20, 6631-6650, doi:10.5194/acp-20-6631-2020.

Hedelius, J.K., et al. (2021), Regional and Urban Column CO Trends and Anomalies as Observed by MOPITT Over 16 Years, J. Geophys. Res., 126, e2020JD033967, doi:10.1029/2020JD033967.

Francoeur, C.B., et al. (2021), Quantifying Methane and Ozone Precursor Emissions from Oil and Gas Production Regions across the Contiguous US, Environmental Science & Technology, 1-28, doi:10.1021/acs.est.0c07352.

Anderson, D.C., et al. (2021), Spatial and temporal variability in the hydroxyl (OH) radical: understanding the role of large-scale climate features and their influence on OH through its dynamical and photochemical drivers, Atmos. Chem. Phys., 21, 6481-6508, doi:10.5194/acp-21-6481-2021.

Pu, B., et al. (2019), Seasonal Prediction Potential for Springtime Dustiness in the United States, Geophys. Res. Lett., 46, 9163-9173, doi:10.1029/2019GL083703.

Pu, B., et al. (2020), Retrieving the global distribution of the threshold of wind erosion from satellite data and implementing it into the Geophysical Fluid Dynamics Laboratory land–atmosphere model (GFDL AM4.0/LM4.0), Atmos. Chem. Phys., 20, 55-81, doi:10.5194/acp-20-55-2020.

Pu, B., and P. Ginoux (2016), The impact of the Pacific Decadal Oscillation on springtime dust activity in Syria, Atmos. Chem. Phys., 16, 13431-13448, doi:10.5194/acp-16-13431-2016.