elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

Model Selection in Atmospheric Remote Sensing with Application to Aerosol Retrieval from DSCOVR/EPIC. Part 2: Numerical Analysis

Sasi, Sruthy and Natraj, V. and Molina García, Víctor and Efremenko, Dmitry and Loyola, Diego and Doicu, Adrian (2020) Model Selection in Atmospheric Remote Sensing with Application to Aerosol Retrieval from DSCOVR/EPIC. Part 2: Numerical Analysis. Remote Sensing, 12 (21), 3656_1-3656_17. Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/rs12213656. ISSN 2072-4292.

[img] PDF - Published version
422kB

Official URL: https://doi.org/10.3390/rs12213656

Abstract

An algorithm for retrieving aerosol parameters by taking into account the uncertainty in aerosol model selection is applied to the retrieval of aerosol optical thickness and aerosol layer height from synthetic measurements from the EPIC sensor onboard the Deep Space Climate Observatory. The synthetic measurements are generated using aerosol models derived from AERONET measurements at different sites, while other commonly used aerosol models, such as OPAC, GOCART, OMI, and MODIS databases are used in the retrieval. The numerical analysis is focused on the estimation of retrieval errors when the true aerosol model is unknown. We found that the best aerosol model is the one with a value of the asymmetry parameter and an angular variation of the phase function around the viewing direction that is close to the values corresponding to the reference aerosol model.

Item URL in elib:https://elib.dlr.de/146092/
Document Type:Article
Title:Model Selection in Atmospheric Remote Sensing with Application to Aerosol Retrieval from DSCOVR/EPIC. Part 2: Numerical Analysis
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Sasi, SruthySruthy.Sasi (at) dlr.dehttps://orcid.org/0000-0002-5477-9879
Natraj, V.NASA-JLPUNSPECIFIED
Molina García, VíctorVictor.MolinaGarcia (at) dlr.deUNSPECIFIED
Efremenko, DmitryDmitry.Efremenko (at) dlr.deUNSPECIFIED
Loyola, DiegoDiego.Loyola (at) dlr.dehttps://orcid.org/0000-0002-8547-9350
Doicu, AdrianAdrian.Doicu (at) dlr.deUNSPECIFIED
Date:7 November 2020
Journal or Publication Title:Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:12
DOI :10.3390/rs12213656
Page Range:3656_1-3656_17
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
ISSN:2072-4292
Status:Published
Keywords:EPIC, aerosol
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Atmospheric and climate research, R - Spectroscopic methods of the atmosphere
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Atmospheric Processors
Deposited By: Loyola, Dr.-Ing. Diego
Deposited On:25 Nov 2021 10:38
Last Modified:25 Nov 2021 10:38

Repository Staff Only: item control page

Browse
Search
Help & Contact
Information
electronic library is running on EPrints 3.3.12
Copyright © 2008-2017 German Aerospace Center (DLR). All rights reserved.