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Predicting ozone profile shape from satellite UV spectra

Xu, Jian and Loyola, Diego and Romahn, Fabian and Doicu, Adrian (2017) Predicting ozone profile shape from satellite UV spectra. In: Geophysical Research Abstracts. EGU 2017, 23-28 April 2017, Vienna, Austria.

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Official URL: http://meetingorganizer.copernicus.org/EGU2017/poster/22709

Abstract

Identifying ozone profile shape is a critical yet challenging job for the accurate reconstruction of vertical distributions of atmospheric ozone that is relevant to climate change and air quality. Motivated by the need to develop an approach to reliably and efficiently estimate vertical information of ozone and inspired by the success of machine learning techniques, this work proposes a new algorithm for deriving ozone profile shapes from ultraviolet (UV) absorption spectra that are recorded by satellite instruments, e.g. GOME series and the future Sentinel missions. The proposed algorithm formulates this particular inverse problem in a classification framework rather than a conventional inversion one and places an emphasis on effectively characterizing various profile shapes based on machine learning techniques. Furthermore, a comparison of the ozone profiles from real GOME-2 data estimated by our algorithm and the classical retrieval algorithm (Optimal Estimation Method) is performed.

Item URL in elib:https://elib.dlr.de/111444/
Document Type:Conference or Workshop Item (Poster)
Title:Predicting ozone profile shape from satellite UV spectra
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Xu, Jianjian.xu (at) dlr.deUNSPECIFIED
Loyola, DiegoDiego.Loyola (at) dlr.dehttps://orcid.org/0000-0002-8547-9350
Romahn, Fabianfabian.romahn (at) dlr.deUNSPECIFIED
Doicu, Adrianadrian.doicu (at) dlr.deUNSPECIFIED
Date:2017
Journal or Publication Title:Geophysical Research Abstracts
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:UV spectroscopy, satellite remote sensing, ozone
Event Title:EGU 2017
Event Location:Vienna, Austria
Event Type:international Conference
Event Dates:23-28 April 2017
Organizer:European Geosciences Union (EGU)
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Remote sensing and geoscience, R - Project Climatic relevance of atmospheric tracer gases, aerosols and clouds
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Atmospheric Processors
Deposited By: Xu, Dr.-Ing. Jian
Deposited On:13 Mar 2017 10:08
Last Modified:31 Jul 2019 20:08

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