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The SPARC water vapour assessment II: profile-to-profile comparisons of stratospheric and lower mesospheric water vapour data sets obtained from satellites

Lossow, Stefan; Khosrawi, Farahnaz; Kiefer, Michael; Walker, Kaley A.; Bertaux, Jean-Loup; Blanot, Laurent; Russell, James M; Remsberg, Ellis E.; Gille, John C.; Sugita, Takafumi; Sioris, Christopher E.; Dinelli, Bianca M.; Papandrea, Enzo; Raspollini, Piera; García-Comas, Maya; Stiller, Gabriele P.; Clarmann, Thomas von; Dudhia, Anu; Read, William G.; Nedoluha, Gerald E.; ... mehr

Abstract:
Within the framework of the second SPARC (Stratosphere-troposphere Processes And their Role in Climate) water vapour assessment (WAVAS-II), profile-to-profile comparisons of stratospheric and lower mesospheric water vapour were performed by considering 33 data sets derived from satellite observations of 15 different instruments. These comparisons aimed to provide a picture of the typical biases and drifts in the observational database and to identify data-set-specific problems. The observational database typically exhibits the largest biases below 70 hPa, both in absolute and relative terms. The smallest biases are often found between 50 and 5 hPa. Typically, they range from 0.25 to 0.5 ppmv (5 % to 10 %) in this altitude region, based on the 50 % percentile over the different comparison results. Higher up, the biases increase with altitude overall but this general behaviour is accompanied by considerable variations. Characteristic values vary between 0.3 and 1 ppmv (4 % to 20 %). Obvious data-set-specific bias issues are found for a number of data sets. In our work we performed a drift analysis for data sets overlapping for a period of at least 36 months. ... mehr

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Verlagsausgabe §
DOI: 10.5445/IR/1000095679
Veröffentlicht am 27.06.2019
Originalveröffentlichung
DOI: 10.5194/amt-12-2693-2019
Scopus
Zitationen: 1
Web of Science
Zitationen: 1
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung - Atmosphärische Spurenstoffe und Fernerkundung (IMK-ASF)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2019
Sprache Englisch
Identifikator ISSN: 1867-1381, 1867-8548
KITopen-ID: 1000095679
HGF-Programm 12.04.05 (POF III, LK 01)
Trends,Variaility,Large-Scale Processes
Erschienen in Atmospheric measurement techniques
Band 12
Heft 5
Seiten 2693-2732
Bemerkung zur Veröffentlichung Gefördert durch den KIT-Publikationsfonds
Nachgewiesen in Scopus
Web of Science
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