Effects of ice crystal surface roughness and air bubble inclusions on cirrus cloud radiative properties from remote sensing perspective

dc.contributor.authorTang, Guanglin
dc.contributor.authorPanetta, R. Lee
dc.contributor.authorYang, Ping
dc.contributor.authorKattawar, George W.
dc.contributor.authorZhai, Peng-Wang
dc.date.accessioned2022-06-16T20:05:14Z
dc.date.available2022-06-16T20:05:14Z
dc.date.issued2017-04-29
dc.description.abstractWe study the combined effects of surface roughness and inhomogeneity on the optical scattering properties of ice crystals and explore the consequent implications to remote sensing of cirrus cloud properties. Specifically, surface roughness and inhomogeneity are added to the Moderate Resolution Imaging Spectroradiometer (MODIS) collection 6 (MC6) cirrus cloud particle habit model. Light scattering properties of the new habit model are simulated using a modified version of the Improved Geometric Optics Method (IGOM). Both inhomogeneity and surface roughness affect the single scattering properties significantly. In visible bands, inhomogeneity and surface roughness both tend to smooth the phase function and eliminate halos and the backscattering peak. The asymmetry parameter varies with the degree of surface roughness following a U shape - decreases and then increases - with a minimum at around 0.15, whereas it decreases monotonically with the air bubble volume fraction. Air bubble inclusions significantly increase phase matrix element -P12 for scattering angles between 20°–120°, whereas surface roughness has a much weaker effect, increasing -P12 slightly from 60°–120°. Radiative transfer simulations and cirrus cloud property retrievals are conducted by including both the factors. In terms of surface roughness and air bubble volume fraction, retrievals of cirrus cloud optical thickness or the asymmetry parameter using solar bands show similar patterns of variation. Polarimetric simulations using the MC6 cirrus cloud particle habit model are shown to be more consistent with observations when both surface roughness and inhomogeneity are simultaneously considered.en_US
dc.description.sponsorshipThis study was supported by the National Science Foundation (AGS-1338440). The authors thank Yifeng Ding for performing the infrared-band based retrieval.en_US
dc.description.urihttps://www.sciencedirect.com/science/article/pii/S0022407316304368en_US
dc.format.extent13 pagesen_US
dc.genrejournal articlesen_US
dc.identifierdoi:10.13016/m255ep-fz4x
dc.identifier.citationTang, Guanglin et al. Journal of Quantitative Spectroscopy and Radiative Transfer 195 (July 2017): 119-131. https://doi.org/10.1016/j.jqsrt.2017.01.016en_US
dc.identifier.urihttps://doi.org/10.1016/j.jqsrt.2017.01.016
dc.identifier.urihttp://hdl.handle.net/11603/24949
dc.language.isoen_USen_US
dc.publisherElsevieren_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Physics Department Collection
dc.relation.ispartofUMBC Joint Center for Earth Systems Technology (JCET)
dc.relation.ispartofUMBC Faculty Collection
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.en_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)*
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleEffects of ice crystal surface roughness and air bubble inclusions on cirrus cloud radiative properties from remote sensing perspectiveen_US
dc.typeTexten_US
dcterms.creatorhttps://orcid.org/0000-0003-4695-5200en_US

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