This page lists the publications in the ESD Publications database, sorted by first author and year. To filter the list, select one or more Research Program(s) to filter the list, or else specify a publication year (e.g., 2011). Options to view other pages of the list are provided at the bottom of the page.

Publication Citation Research Program(s)
Mallet, M., et al. (2020), Direct and semi-direct radiative forcing of biomass burning aerosols over the Southeast Atlantic (SEA) and its sensitivity to absorbing properties: a regional climate modeling study, Atmos. Chem. Phys., acp-2020-317 (manuscript in preparation). , RSP
Manney, G. L., et al. (2020), Record‐Low Arctic Stratospheric Ozone in 2020: MLS Observations of Chemical Processes and Comparisons With Previous Extreme Winters, Geophys. Res. Lett., 47, e2020GL089063, doi:10.1029/2020GL089063. ACMAP
Martínez-Alonso, S., et al. (2020), 1.5 years of TROPOMI CO measurements: comparisons to MOPITT and ATom, Atmos. Meas. Tech., 13, 4841-4864, doi:10.5194/amt-13-4841-2020. TCP
Matheou, G., A. B. Davis, and J. Teixeira (2020), The Spiderweb Structure of Stratocumulus Clouds, Atmosphere, 11, 730, doi:10.3390/atmos11070730. MAP, RSP
Matthews, E., et al. (2020), Methane flux from high latitude lakes: methane-centric lake classification and satellite-driven annual cycle of fluxes, Sci. Rep.-UK, 10, 1-9, doi:10.1038/s41598-020-68246-1. THP, IDS, , CCEP
Midzak, N., et al. (2020), A Classification of Ice Crystal Habits Using Combined Lidar and Scanning Polarimeter Observations during the SEAC4RS Campaign, J. Atmos. Oceanic Technol., 37, 2185-2196, doi:10.1175/JTECH-D-20-0037.1. ACMAP
Miller, D. J., et al. (2020), Low-level liquid cloud properties during ORACLES retrieved using airborne polarimetric measurements and a neural network algorithm, Atmos. Meas. Tech., 13, 3447-3470, doi:10.5194/amt-13-3447-2020. RSP
Mishchenko, M. (2020), Comprehensive thematic T-matrix reference database: a 2017–2019 update, J. Quant. Spectrosc. Radiat. Transfer, 242, 106692, doi:10.1016/j.jqsrt.2019.106692. RSP
Mishchenko, M., and M. A. Yurkin (2020), Co- and counter-propagating wave effects in an absorbing medium, J. Quant. Spectrosc. Radiat. Transfer, 242, 106688, doi:10.1016/j.jqsrt.2019.106688. RSP
Miyazaki, K., et al. (2020), Updated tropospheric chemistry reanalysis and emission estimates, TCR-2, for 2005–2018, Earth Syst. Sci. Data, 12, 2223-2259, doi:10.5194/essd-12-2223-2020.
Nair, A. A., and F. Yu (2020), Using machine learning to derive cloud condensation nuclei number concentrations from commonly available measurements, Atmos. Chem. Phys., doi:10.5194/acp-2020-509. ACMAP
Nalli, N., et al. (2020), Validation of Carbon Trace Gas Profile Retrievals from the NOAA-Unique Combined Atmospheric Processing System for the Cross-Track Infrared Sounder, Remote Sens., 12, doi:10.3390/rs12193245. TCP
Nault, B., et al. (2020), Interferences with aerosol acidity quantification due to gas-phase ammonia uptake onto acidic sulfate filter samples, Atmos. Meas. Tech., 13, 6193-6213, doi:10.5194/amt-13-6193-2020. TCP
Nguyen, N. H., et al. (2020), Effects of Chemical Feedbacks on Decadal Methane Emissions Estimates, Geophys. Res. Lett., 47, 1-13, doi:10.1029/2019GL085706. MAP, , ACMAP
Noyes, K. J., et al. (2020), Wildfire Smoke Particle Properties and Evolution, from Space-Based Multi-Angle Imaging, doi:10.3390/rs12050769. , ACMAP
Orkin, V. L., M. J. Kurylo, and E. Fleming (2020), Atmospheric Lifetimes of Halogenated Hydrocarbons: Improved Estimations From an Analysis of Modeling Results, J. Geophys. Res., 125, 1-13, doi:10.1029/2019JD032243. UARP
Pai, S. J., et al. (2020), An evaluation of global organic aerosol schemes using airborne observations, Atmos. Chem. Phys., 20, 2637-2665, doi:10.5194/acp-20-2637-2020. TCP
Painemal, D., et al. (2020), Reducing uncertainties in satellite estimates of aerosol–cloud interactions over the subtropical ocean by integrating vertically resolved aerosol observations, Atmos. Chem. Phys., 20, 7167-7177, doi:10.5194/acp-20-7167-2020. RSP
Pan, X., et al. (2020), Six global biomass burning emission datasets: intercomparison and application in one global aerosol model, Atmos. Chem. Phys., 20, 969-994, doi:10.5194/acp-20-969-2020. MAP, TCP
Park, H. J., et al. (2020), Predicting Vertical Concentration Profiles in the Marine Atmospheric Boundary Layer With a Markov Chain Random Walk Model, J. Geophys. Res., 125, e2020JD032731, doi:10.1029/2020JD032731. RSP

Pages

CSV