Impact of aerosol non-sphericity on the satellite remote sensing of CO₂

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dc.contributor.authorChen, Xi
dc.contributor.authorWang, Jun
dc.contributor.authorYang, Dongxu
dc.contributor.authorXu, Xiaoguang
dc.contributor.authorYang, Ping
dc.contributor.authorDubovik, Oleg
dc.contributor.authorLiu, Yi
dc.contributor.authorMishchenko, Michael
dc.contributor.authorSpurr, Robert
dc.date.accessioned2019-06-11T17:33:34Z
dc.date.available2019-06-11T17:33:34Z
dc.description.abstractExisting algorithms for satellite remote sensing of CO₂ assume that all atmospheric aerosol particles are spherical. This assumption, however, is only valid for the atmosphere in the absence of dust particles that are non-spherical by their nature. Here, a theoretical analysis is conducted for the dusty atmosphere to analyze the impact of aerosol non-sphericity on the accuracy of CO₂ retrievals from space. The analysis begins by adding new capabilities to the UNL-VRTM, a UNified and Linearized Vector Radiative Transfer Model [1] (http://unl-vrtm.org) which can calculate both the four Stokes parameters and their respective sensitivities to aerosol properties. The new capability builds upon the existing non-spherical scattering property database [2,3] and develops an analytical method to calculate the Jacobians of these scattering properties to aerosol size distribution parameters, index of refraction, and particle shape factors. With this new capability, the UNLVRTM is upgraded to compute radiative transfer for the spectrum of Tan-Sat [4], and the subsequent retrieval of CO₂ [5] is conducted by using the UNL-VRTM synthetic data. In the presentation, we will describe the development and validation of UNL-VRTM’s new capabilities and provide an analysis of CO₂ retrieval errors due to the lack of consideration of aerosol non-spherical shape in dusty conditions.en_US
dc.description.urihttps://www.giss.nasa.gov/staff/mmishchenko/ELS-XVIII/Contributed/Chen.pdfen_US
dc.format.extent2 pagesen_US
dc.genreconference papers and proceedingsen_US
dc.identifierdoi:10.13016/m2qgj1-3gxf
dc.identifier.urihttp://hdl.handle.net/11603/14046
dc.language.isoen_USen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Joint Center for Earth Systems Technology
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.
dc.rightsPublic Domain Mark 1.0*
dc.rightsThis work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law.
dc.rights.urihttp://creativecommons.org/publicdomain/mark/1.0/*
dc.subjectatmospheric aerosol particlesen_US
dc.subjectLinearized Vector Radiative Transfer Modelen_US
dc.subjectnon-spherical scattering property databaseen_US
dc.subjectUNL-VRTMen_US
dc.titleImpact of aerosol non-sphericity on the satellite remote sensing of CO₂en_US
dc.typeTexten_US

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