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

Thumbnail Image

Files

Chen.pdf (144.78 KB)

Links to Files

https://www.giss.nasa.gov/staff/mmishchenko/ELS-XVIII/Contributed/Chen.pdf

Permanent Link

http://hdl.handle.net/11603/14046

Collections

UMBC Joint Center for Earth Systems Technology (JCET)
UMBC Faculty Collection

Author/Creator

Author/Creator ORCID

Date

Type of Work

conference papers and proceedings
Text

Department

Program

Citation of Original Publication

Rights

This 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.
Public Domain Mark 1.0
This 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.

Subjects

atmospheric aerosol particles
Linearized Vector Radiative Transfer Model
non-spherical scattering property database
UNL-VRTM

Abstract

Existing 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.