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Level 2 processor and auxiliary data for ESA Version 8 final full mission analysis of MIPAS measurements on ENVISAT

Raspollini, Piera ; Arnone, Enrico; Barbara, Flavio; Bianchini, Massimo; Carli, Bruno; Ceccherini, Simone; Chipperfield, Martyn P.; Dehn, Angelika; Della Fera, Stefano; Dinelli, Bianca Maria; Dudhia, Anu; Flaud, Jean-Marie; Gai, Marco; Kiefer, Michael 1; López-Puertas, Manuel; Moore, David P.; Piro, Alessandro; Remedios, John J.; Ridolfi, Marco; ... mehr

Abstract:

High quality long-term data sets of altitude-resolved measurements of the atmospheric composition are important because they can be used both to study the evolution of the atmosphere and as a benchmark for future missions. For the final ESA reprocessing of MIPAS (Michelson Interferometer for Passive Atmospheric Sounding) on ENVISAT (ENViromental SATellite) data, numerous improvements were implemented in the Level 2 (L2) processor Optimised Retrieval Model (ORM) version 8.22 (V8) and its auxiliary data. The implemented changes involve all aspects of the processing chain, from the modelling of the measurements with the handling of the horizontal inhomogeneities along the line of sight to the use of the optimal estimation technique to retrieve the minor species, from a more sensitive approach to detecting the spectra affected by clouds to a refined method for identifying low quality products. Improvements in the modelling of the measurements were also obtained with an update of the used spectroscopic data and of the databases providing the a priori knowledge of the atmosphere. The HITRAN_mipas_pf4.45 spectroscopic database was finalised with new spectroscopic data verified with MIPAS measurements themselves, while recently measured cross-sections were used for the heavy molecules. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000145747
Veröffentlicht am 05.05.2022
Originalveröffentlichung
DOI: 10.5194/amt-15-1871-2022
Scopus
Zitationen: 3
Dimensions
Zitationen: 3
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung – Atmosphärische Spurenstoffe und Fernerkundung (IMK-ASF)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2022
Sprache Englisch
Identifikator ISSN: 1867-1381, 1867-8548
KITopen-ID: 1000145747
HGF-Programm 12.11.25 (POF IV, LK 01) Atmospheric composition and circulation changes
Erschienen in Atmospheric Measurement Techniques
Verlag Copernicus Publications
Band 15
Heft 6
Seiten 1871–1901
Vorab online veröffentlicht am 28.03.2022
Nachgewiesen in Scopus
Dimensions
Web of Science
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