Pubs by Program

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)
Adebiyi, A.A., J.F.B. Kok, B.J.C. Murray, C.L.D. Ryder, J.-B.W. Stuut, R.A. Kahn, P. Knippertz, P. Formenti, N. Mahowald, C.P. García-Pando, M. Klose, A. Ansmann, B.H. Samset, A.O. Ito, Y.P. Balkanski, C.I. Di Biagio, M.N.Q. Romanias, Y.B. Huang, and J.B. Meng (2022), A review of coarse mineral dust in the Earth system, Aeolian Resrch., 60, 100849, doi:10.1016/j.aeolia.2022.100849. Atmospheric Composition, ACMAP, Climate Variability and Change Program
Bian, Q., S. Kreidenweis, J.C. Chiu, S.D. Miller, X. Xu, J. Wang, R.A. Kahn, . Limbacher, L.A. Remer, and R.C. Levy (2022), Constraining Aerosol Phase Function Using Dual-View Geostationary Satellites, J. Geophys. Res.. ACMAP
Bian, Q., S. Kreidenweis, J.C. Chiu, S.D. Miller, X. Xu, J. Wang, R.A. Kahn, . Limbacher, L.A. Remer, and R.C. Levy (2022), Constraining Aerosol Phase Function Using Dual-View Geostationary Satellites, J. Geophys. Res.. ACMAP
Chen, X., J. Wang, J. Gomes, O. Dubovik, P. Yang, and M. Saito (2022), Analytical Prediction of Scattering Properties of Spheroidal Dust Particles With Machine Learning, Geophys. Res. Lett., 49, e2021GL097548, doi:10.1029/2021GL097548. ASP, MAP, Atmospheric Composition, ACMAP
Christensen, M.W., A. Gettelman, J. Cermak, G. Dagan, M.S. Diamond, A. Douglas, G. Feingold, F. Glassmeier, T. Goren, D.P. Grosvenor, E. Gryspeerdt, R.A. Kahn, Z. Li, P. Ma, F. Malavelle, I.L. McCoy, . Mccoy, G.M. McFarquhar, J. Mülmenstädt, S. Pal, A. Possner, A. Povey, . Quaas, D. Rosenfeld, A. Schmidt, R. Schrödner, A. Sorooshian, P. Stier, V. Toll, D. Watson-Parris, R. Wood, M. Yang, and T. Yuan (2022), Opportunistic experiments to constrain aerosol effective radiative forcing, Atmos. Chem. Phys., doi:10.5194/acp-22-641-2022. ACMAP
Dix, ., C.B. Francoeur, . Li, R. Serrano-Calvo, P. Levelt, P. Veefkind, B. McDonald, and . de Gouw (2022), Quantifying NOx Emissions from U.S. Oil and Gas Production Regions Using TROPOMI NO2, Anal. Chem., 403, 403−414, doi:10.1021/acsearthspacechem.1c00387. Atmospheric Composition, ACMAP
Fleming, E., Q. Liang, L. Oman, P.A. Newman, F. Li, and M.M. Hurwitz (2022), Stratospheric Impacts of Continuing CFC-11 Emissions Simulated in a Chemistry-Climate Model, J. Geophys. Res.. MAP, ACMAP
Fromm, M., G.P. Kablick, D.A. Peterson, R.A. Kahn, . Flower, and C.J. Seftor (2022), Quantifying the Source Term and Uniqueness of the August 12, 2017 Pacific Northwest PyroCb Event, J. Geophys. Res.. ASP, ACMAP
Gordon, A.E., and C. Homeyer (2022), Sensitivities of Cross-Tropopause Transport in Midlatitude Overshooting Convection to the Lower Stratosphere Environment, J. Geophys. Res., 127, e2022JD036713, doi:10.1029/2022JD036713. Atmospheric Composition, ACMAP, UARP
Gressent, A., M. Rigby, A.L. Ganesan, R.G. Prinn, A. Manning, J. Mühle, P.K. Salameh, P.B. Krummel, P. Fraser, L.P. Steele, B. Mitrevski, R. Weiss, C.M. Harth, R.H.S.O. Wang, . Doherty, D. Young, S. Park, S. Li, B. Yao, S. Reimann, M.K. Vollmer, M. Maione, and J. ArduiniC.R. Lunder, (2022), Growing Atmospheric Emissions of Sulfuryl Fluoride, J. Geophys. Res., 2021), e2020JD034327. ACMAP
Hilario, M.R.A., E.C. Crosbie, P.A. Bañaga, G.B. Betito, R.A. Braun, M.O.L. Cambaliza, A. Corral, M.T. Cruz, J.E. Dibb, G.R. Lorenzo, A.B. MacDonald, C.E. Robinson, M.A. Shook, J.B.B. Simpas, C.T. Stahl, E.L. Winstead, L.D. Ziemba, and A. Sorooshian (2022), Particulate Oxalate-To-Sulfate Ratio as an Aqueous Processing Marker: Similarity Across Field Campaigns and Limitations, Geophys. Res. Lett.. Atmospheric Composition, ACMAP, RSP
Jayakumar, A., H. Gordon, T. Francis, A.A. Hill, S. Mohandas, B.S. Sandeepan, A.K. Mitra, and G. Beig (2022), Delhi Model with Chemistry and aerosol framework (DM-Chem) for high-resolution fog forecasting, Q. J. R. Meteorol. Soc., 147, 3957-3978, doi:10.1002/qj.4163. ACMAP
Kaaret, P., S. Tammes, J. Wang, T. Schnell, M. Linderman, C.H. Richey, C.M. Packard, M. Zhou, and C.A. Fuller (2022), remote sensing Communication On the Potential of Flaming Hotspot Detection at Night via Multiband Visible/Near-Infrared Imaging, Remote Sens., 14, 5019, doi:10.3390/rs14195019. Atmospheric Composition, ACMAP, RSP, TCP
Kacenelenbogen, M.S., Q. Tan, S.P. Burton, O.H.O.H. Otto Hasekamp, K.D. Froyd, Y. Shinozuka, A. Beyersdorf, L. Ziemba, K.L. Thornhill, J.E. Dibb, T. Shingler, A. Sorooshian, R.W. Espinosa, V. Martins, J.L. Jimenez-Palacios, P. Campuzano Jost, J.P. Schwarz, M.S. Johnson, J. Redemann, and G. Schuster (2022), Identifying chemical aerosol signatures using optical suborbital observations: how much can optical properties tell us about aerosol composition?, Atmos. Chem. Phys., doi:10.5194/acp-22-3713-2022. Atmospheric Composition, ACMAP, RSP, TCP
Kahn, R.A., and . Samset (2022), Remote sensing measurements of aerosol properties, K. Carslaw, Ed., Elsevier, ISBN, 9780128197660, Chapter 10 in. Atmospheric Composition, ACMAP, Climate Variability and Change Program
Kahn, R.A., Y. Liu, and D.J. Diner (2022), Ralph A. Kahn, Yang Liu, and David J. Diner Contents, H. Akimoto, H. Tanimoto (eds.Handbook of Air Quality and Climate Change, 1, doi:10.1007/978-981-15-2527-8_62-1. ASP, ACMAP
Lawson, R.P., R.T. Bruintjes, . Woods, and . Gurganus (2022), Coalescence and Secondary Ice Development in Cumulus Congestus Clouds, J. Atmos. Sci., 79, 953-972, doi:10.1175/JAS-D-21-0188.1. ACMAP
Li, C., J. Joiner, F. Liu, N.A. Krotkov, . Fioletov, and . McLinden (2022), A new machine-learning-based analysis for improving satellite-retrieved atmospheric composition data: OMI SO2 as an example, Atmos. Meas. Tech., 15, 5497-5514, doi:10.5194/amt-15-5497-2022. Atmospheric Composition, ACMAP
Li, ., . Hammer, . Zheng, and R.C. Cohen (2022), Accelerated reduction of air pollutants in China, 2017-2020, Science of the Total Environment, 803, 150011, doi:10.1016/j.scitotenv.2021.150011. ACMAP
Li, ., X. Xu, X. Liu, J. Wang, K. Sun, . van Geffen, Q. Zhu, . Ma, . Qin, . He, . Xie, . Ren, and R.C. Cohen (2022), Direct retrieval of NO2 vertical columns from UV-Vis (390-495 nm) spectral radiance using a neural network, Journal of Remote Sensing, ID, article, doi:10.34133/2022/9817134. ACMAP