Atmospheric Composition Modeling and Analysis Program

Hayashida, S., et al. (2018), Comparison of Satellite Observation with Model Simulation, in: Land-Atmospheric Research Applications in South and Southeast Asia, edited by: Krishna Prasad Vadrevu, Toshimasa Ohara, Chris Justice, edited by, 255-275, doi:10.1007/978-3-319-67474-2_13.

Gaudel, A., et al. (2018), Tropospheric Ozone Assessment Report: Present-day distribution and trends of tropospheric ozone relevant to climate and global atmospheric chemistry model evaluation, Elem Sci Anth, 6, 39, doi:10.1525/elementa.291.

Rocha-Lima, A., et al. (2018), A detailed characterization of the Saharan dust collected during the Fennec campaign in 2011: in situ ground-based and laboratory measurements, Atmos. Chem. Phys., 18, 1023-1043, doi:10.5194/acp-18-1023-2018.

Song, Q., et al. (2018), Net radiative effects of dust in the tropical North Atlantic based on integrated satellite observations and in situ measurements, Atmos. Chem. Phys., 18, 11303-11322, doi:10.5194/acp-18-11303-2018.

Brook, A., et al. (2019), Structural heterogeneity of vegetation fire ash, Land Degrad Dev., doi:10.1002/ldr.2922.

Pan, X., et al. (2018), Connecting Indonesian Fires and Drought With the Type of El Niño and Phase of the Indian Ocean Dipole During 1979–2016, J. Geophys. Res., 123, 7974-7988, doi:10.1029/2018JD028402.

Lennartson, E.M., et al. (2018), Diurnal variation of aerosol optical depth and PM2.5 in South Korea: a synthesis from AERONET, satellite (GOCI), KORUS-AQ observation, and the WRF-Chem model, Atmos. Chem. Phys., 18, 15125-15144, doi:10.5194/acp-18-15125-2018.

Wang, J., et al. (2018), Mitigating Satellite-Based Fire Sampling Limitations in Deriving Biomass Burning Emission Rates: Application to WRF-Chem Model Over the Northern sub-Saharan African Region, J. Geophys. Res., 123, 507-528.

Ge, C., et al. (2018), A molecular perspective for global modeling of upper atmospheric NH3 from freezing clouds, Proc. Natl. Acad. Sci., 115, 6147-6152, doi:10.1073/pnas.1719949115.