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Original Research ARTICLE Provisionally accepted The full-text will be published soon. Notify me

Front. Environ. Sci. | doi: 10.3389/fenvs.2019.00118

A revised cross-section database for gas retrieval in the UV-visible-near IR range, applied to the GOMOS retrieval algorithm AerGOM

 Christine Bingen1*,  Charles E. Robert2, Christian Hermans2, Filip Vanhellemont2, Nina Mateshvili2, Emmanuel Dekemper2 and Didier Fussen2
  • 1The Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Belgium
  • 2Belgian Institute for Space Aeronomy, Belgium

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.

Keywords: retrieval + extinction, remote sensing, cross-section analysis, spectroscopy, ENVISAT GOMOS, gas retrieval

Received: 28 Feb 2019; Accepted: 11 Jul 2019.

Edited by:

Linlu Mei, University of Bremen, Germany

Reviewed by:

Irina A. Mironova, Saint Petersburg State University, Russia
Alexander Kokhanovsky, Vitrociset (Germany), Germany  

Copyright: © 2019 Bingen, Robert, Hermans, Vanhellemont, Mateshvili, Dekemper and Fussen. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Dr. Christine Bingen, The Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium, Christine.Bingen@aeronomie.be