Impact of Molecular Spectroscopy on Carbon Monoxide Abundances from TROPOMI

Bibliographic Details
Title: Impact of Molecular Spectroscopy on Carbon Monoxide Abundances from TROPOMI
Authors: Philipp Hochstaffl, Franz Schreier, Manfred Birk, Georg Wagner, Dietrich G. Feist, Justus Notholt, Ralf Sussmann, Yao Té
Source: Remote Sensing, Vol 12, Iss 21, p 3486 (2020)
Publisher Information: MDPI AG, 2020.
Publication Year: 2020
Collection: LCC:Science
Subject Terms: infrared, radiative transfer, molecular absorption, line-by-line, line profiles, Science
More Details: The impact of SEOM–IAS (Scientific Exploitation of Operational Missions–Improved Atmospheric Spectroscopy) spectroscopic information on CO columns from TROPOMI (Tropospheric Monitoring Instrument) shortwave infrared (SWIR) observations was examined. HITRAN 2016 (High Resolution Transmission) and GEISA 2015 (Gestion et Etude des Informations Spectroscopiques Atmosphériques 2015) were used as a reference upon which the spectral fitting residuals, retrieval errors and inferred quantities were assessed. It was found that SEOM–IAS significantly improves the quality of the CO retrieval by reducing the residuals to TROPOMI observations. The magnitude of the impact is dependent on the climatological region and spectroscopic reference used. The difference in the CO columns was found to be rather small, although discrepancies reveal, for selected scenes, in particular, for observations with elevated molecular concentrations. A brief comparison to Total Column Carbon Observing Network (TCCON) and Network for the Detection of Atmospheric Composition Change (NDACC) also demonstrated that both spectroscopies cause similar columns; however, the smaller retrieval errors in the SEOM with Speed-Dependent Rautian and line-Mixing (SDRM) inferred CO turned out to be beneficial in the comparison of post-processed mole fractions with ground-based references.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 2072-4292
Relation: https://www.mdpi.com/2072-4292/12/21/3486; https://doaj.org/toc/2072-4292
DOI: 10.3390/rs12213486
Access URL: https://doaj.org/article/ced6ce65d9864af9831d97f43da5b628
Accession Number: edsdoj.6ce65d9864af9831d97f43da5b628
Database: Directory of Open Access Journals
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More Details
ISSN:20724292
DOI:10.3390/rs12213486
Published in:Remote Sensing
Language:English