Publication Citation
Alexandrov, M. D., et al. (2020), Vertical profiles of droplet size distributions derived from cloud-side T observations by the research scanning polarimeter: Tests on simulated data ⁎, Atmos. Res., 239, 104924, doi:10.1016/j.atmosres.2020.104924.
AzadiAghdam, M., et al. (2019), On the nature of sea salt aerosol at a coastal megacity: Insights from Manila, T Philippines in Southeast Asia, Atmos. Environ., 216, 116922, doi:10.1016/j.atmosenv.2019.116922.
Braun, R. A., et al. (2020), Long-range aerosol transport and impacts on size-resolved aerosol composition in Metro Manila, Philippines, Atmos. Chem. Phys., 20, 2387-2405, doi:10.5194/acp-20-2387-2020.
Cruz, M. T., et al. (2019), Size-resolved composition and morphology of particulate matter during the southwest monsoon in Metro Manila, Philippines, Atmos. Chem. Phys., 19, 10675-10696, doi:10.5194/acp-19-10675-2019.
Dagan, G. 1. ✉., et al. (2022), Boundary conditions representation can determine simulated aerosol effects on convective cloud fields, Nature, doi:10.1038/s43247-022-00399-5.
De Vera, M. V., et al. (2024), Observations of the macrophysical properties of cumulus cloud fields over the tropical western Pacific and their connection to meteorological variables, Atmos. Chem. Phys., doi:10.5194/acp-24-5603-2024.
Dellaripa, E. M. R., et al. (2020), Topographic Effects on the Luzon Diurnal Cycle during the BSISO, J. Atmos. Sci., 77, 3-29, doi:10.1175/JAS-D-190046.s1.
Di Girolamo, L., et al. (2021), and the CAMP2Ex Science Team, Data Fusion Visualization for the NASA CAMP2Ex Field Campaign..
Freeman, S. W., A. L. Igel, and S. van den Heever (2019), RESEARCH ARTICLE Relative sensitivities of simulated rainfall to fixed shape parameters and collection efficiencies, Q. J. R. Meteorol. Soc., 24, 12-2201, doi:10.1002/qj.3550.
Gettelman, A., et al. (2022), The Authors, some The future of Earth system prediction: Advances rights reserved; exclusive licensee in model-data fusion American Association for the Advancement of Science. No claim to, Science Advances , Review, 8, 2022.
Gonzalez, M. E., et al. (2021), Contrasting the size-resolved nature of particulate arsenic, cadmium, and lead among diverse regions, Atmospheric Pollution Research, xxx, doi:10.1016/j.apr.2021.01.002.
Heikenfeld, M., et al. (2019), tobac 1.2: towards a flexible framework for tracking and analysis of clouds in diverse datasets, Geosci. Model. Dev., 12, 4551-4570, doi:10.5194/gmd-12-4551-2019.
Hilario, M., et al. (2020), Characterizing Weekly Cycles of Particulate Matter in a Coastal Megacity: The Importance of a Seasonal, Size‐Resolved, and Chemically Speciated Analysis, J. Geophys. Res., 125, e2020JD032614, doi:10.1029/2020JD032614.
Hilario, M., et al. (2021), Measurement report: Long-range transport patterns into the tropical northwest Pacific during the CAMP2Ex aircraft campaign: chemical composition, size distributions, and the impact of convection, Atmos. Chem. Phys., 21, 3777-3802, doi:10.5194/acp-21-3777-2021.
Hilario, M., et al. (2022), Particulate Oxalate-To-Sulfate Ratio as an Aqueous Processing Marker: Similarity Across Field Campaigns and Limitations, Geophys. Res. Lett..
Hong, Y., and L. Di Girolamo (2020), Cloud phase characteristics over Southeast Asia from A-Train satellite observations Yulan Hong and Larry Di Girolamo Department of Atmospheric Sciences, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA, Atmos. Chem. Phys., 20, 8267-8291, doi:10.5194/acp-20-8267-2020.
Lawson, P., et al. (2022), Coalescence and Secondary Ice Development in Cumulus Congestus Clouds, J. Atmos. Sci., 79, 953-972, doi:10.1175/JAS-D-21-0188.1.
Lorenzo, G. R., et al. (2021), Measurement report: Firework impacts on air quality in Metro Manila, Philippines, during the 2019 New Year revelry, Atmos. Chem. Phys., 21, 6155-6173, doi:10.5194/acp-21-6155-2021.
Marinescu, P. J., et al. (2019), Quantifying aerosol size distributions and their temporal variability in the Southern Great Plains, USA, Atmos. Chem. Phys., 19, 11985-12006, doi:10.5194/acp-19-11985-2019.
Marinescu, P. J., et al. (2021), Impacts of Varying Concentrations of Cloud Condensation Nuclei on Deep Convective Cloud Updrafts—A Multimodel Assessment, J. Atmos. Sci., 78, 1147-1172, doi:10.1175/JAS-D-20-0200.1.

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