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)
Alexandrov, M. D., et al. (2022), Markovian Statistical Model of Cloud Optical Thickness. Part I: Theory and Examples, J. Atmos. Sci., 79, 3315-3332, doi:10.1175/JAS-D-22-0125.1. RSP
Chemyakin, E., et al. (2022), Efficient single-scattering look-up table for lidar and polarimeter water cloud studies, / Optics Letters, 48, 13-16, doi:10.1364/OL.474282. RSP
Chen, J., et al. (2022), Impact of Meteorological Factors on the Mesoscale Morphology of Cloud Streets during a Cold-Air Outbreak over the Western North Atlantic, J. Atmos. Sci., 79, 2863-2879, doi:10.1175/JAS-D-22-0034.1. RSP
Christensen, M. W., et al. (2022), Opportunistic experiments to constrain aerosol effective radiative forcing, Atmos. Chem. Phys., doi:10.5194/acp-22-641-2022. RSP
Cochrane, S. P., et al. (2022), Biomass burning aerosol heating rates from the ORACLES (ObseRvations of Aerosols above CLouds and their intEractionS) 2016 and 2017 experiments, Atmos. Meas. Tech., 15, 61-77, doi:10.5194/amt-15-61-2022. , RSP
Coddington, O. M., et al. (2022), The TSIS-1 Hybrid Solar Reference Spectrum, Geophys. Res. Lett.. , RSP,
Corral, A., et al. (2022), Cold Air Outbreaks Promote New Particle Formation Off the U.S. East Coast, Geophys. Res. Lett.. RSP
Dadashazar, H., et al. (2022), Organic enrichment in droplet residual particles relative to out of cloud over the northwestern Atlantic: analysis of airborne ACTIVATE data, Atmos. Chem. Phys., doi:10.5194/acp-22-13897-2022. , RSP
Dadashazar, H., et al. (2022), Analysis of MONARC and ACTIVATE Airborne Aerosol Data for Aerosol-Cloud Interaction Investigations: Efficacy of Stairstepping Flight Legs for Airborne In Situ Sampling, hosseind@arizona.edu (H.D.armin@arizona.edu (A.S., 13, 1242, doi:10.3390/atmos13081242. RSP
Feng, Y., et al. (2022), Global Dust Cycle and Direct Radiative Effect in E3SM Version 1: Impact of Increasing Model Resolution, J. Adv. Modeling Earth Syst.. RSP,
Gonzalez, M., et al. (2022), Relationships between supermicrometer particle concentrations and cloud water sea salt and dust concentrations: analysis of MONARC and ACTIVATE data, Environmental Science: Atmospheres, doi:10.1039/d2ea00049k. RSP
Gryspeerdt, E., et al. (2022), The impact of sampling strategy on the cloud droplet number concentration estimated from satellite data, Atmos. Meas. Tech., doi:10.5194/amt-2021-371. RSP
Hilario, M. R., et al. (2022), Particulate Oxalate-To-Sulfate Ratio as an Aqueous Processing Marker: Similarity Across Field Campaigns and Limitations, Geophys. Res. Lett.. , ACMAP, RSP
Kaaret, P., et al. (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. , ACMAP, RSP, TCP
Kacenelenbogen, M. S., et al. (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. , ACMAP, RSP, TCP
Kirschler, S., et al. (2022), Seasonal updraft speeds change cloud droplet number concentrations in low-level clouds over the western North Atlantic, Atmos. Chem. Phys., doi:10.5194/acp-22-8299-2022. RSP
Kyba, C. C. M., et al. (2022), Multiple Angle Observations Would Benefit Visible Band Remote Sensing Using Night Lights, J. Geophys. Res., 274, 118979, doi:10.1016/j.atmosenv.2022.118979. IDS, RSP
Li, X., et al. (2022), Large-Eddy Simulations of Marine Boundary Layer Clouds Associated with Cold-Air Outbreaks during the ACTIVATE Campaign. Part I: Case Setup and Sensitivities to Large-Scale Forcings, J. Atmos. Sci., 79, 73-100, doi:10.1175/JAS-D-21-0123.1. RSP
Limbacher, J., R. Kahn, and J. Lee (2022), The new MISR research aerosol retrieval algorithm: a multi-angle, multi-spectral, bounded-variable least squares retrieval of aerosol particle properties over both land and water, Atmos. Meas. Tech., 15, 6865-6887, doi:10.5194/amt-15-6865-2022. , ACMAP, RSP
Midzak, N., et al. (2022), Constrained Retrievals of Aerosol Optical Properties Using Combined Lidar and Imager Measurements During the FIREX-AQ Campaign, Front. Remote Sens., 3, 818605, doi:10.3389/frsen.2022.818605. IDS, RSP

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