Back to Search Start Over

A Revised Cross-Section Database for Gas Retrieval in the UV-Visible-Near IR Range, Applied to the GOMOS Retrieval Algorithm AerGOM

Authors :
Christian Hermans
Charles Robert
Emmanuel Dekemper
Christine Bingen
Nina Mateshvili
Didier Fussen
Filip Vanhellemont
Source :
Frontiers in Environmental Science, Vol 7 (2019)
Publication Year :
2019
Publisher :
Frontiers Media SA, 2019.

Abstract

In this paper, we present the revision of the cross-section database used for the retrieval of aerosol and gas species from remote sensing measurements by the GOMOS instrument onboard ENVISAT. The absorption cross-section spectra concern ozone, nitrogen dioxide and nitrogen trioxide, for which improved datasets have been published since the implementation of the original GOMOS cross-section database in preparation of the ENVISAT mission. We evaluate the molecular absorption cross-section spectra currently available for O3, NO2 and NO3, and we present and discuss our selection of datasets and the set-up of the revised absorption cross-section database, with the focus on these three gases. The objective is to provide an optimal characterization of their absorption spectrum over the UV-visible-near IR range used by AerGOM, a retrieval algorithm that was designed to optimize the retrieval of aerosol species from GOMOS measurements. Despite its application to the specific case of GOMOS, it is the aim of this work to cover a more general scope than this particular mission, and to provide an evaluation applicable to any other case of remote sensing experiment covering the UV to near IR range, possibly with a high spectral resolution.

Details

Language :
English
ISSN :
2296665X
Volume :
7
Database :
OpenAIRE
Journal :
Frontiers in Environmental Science
Accession number :
edsair.doi.dedup.....58ffd58c1435846df751b7f6180f5f0b
Full Text :
https://doi.org/10.3389/fenvs.2019.00118