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The SPARC water vapour assessment II: biases and drifts of water vapour satellite data records with respect to frost point hygrometer records

Kiefer, Michael 1; Hurst, Dale F.; Stiller, Gabriele P. ORCID iD icon 1; Lossow, Stefan 2; Vömel, Holger; Anderson, John; Azam, Faiza; Bertaux, Jean-Loup; Blanot, Laurent; Bramstedt, Klaus; Burrows, John P.; Damadeo, Robert; Dinelli, Bianca Maria; Eriksson, Patrick; García-Comas, Maya; Gille, John C.; Hervig, Mark; Kasai, Yasuko; Khosrawi, Farahnaz 1; ... mehr

Abstract:

Satellite data records of stratospheric water vapour have been compared to balloon-borne frost point hygrometer (FP) profiles that are coincident in space and time. The satellite data records of 15 different instruments cover water vapour data available from January 2000 through December 2016. The hygrometer data are from 27 stations all over the world in the same period. For the comparison, real or constructed averaging kernels have been applied to the hygrometer profiles to adjust them to the measurement characteristics of the satellite instruments. For bias evaluation, we have compared satellite profiles averaged over the available temporal coverage to the means of coincident FP profiles for individual stations. For drift determinations, we analysed time series of relative differences between spatiotemporally coincident satellite and hygrometer profiles at individual stations. In a synopsis we have also calculated the mean biases and drifts (and their respective uncertainties) for each satellite record over all applicable hygrometer stations in three altitude ranges (10–30 hPa, 30–100 hPa, and 100 hPa to tropopause). Most of the satellite data have biases <10 % and average drifts <1 % yr−1 in at least one of the respective altitude ranges. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000164439
Veröffentlicht am 16.11.2023
Originalveröffentlichung
DOI: 10.5194/amt-16-4589-2023
Scopus
Zitationen: 1
Web of Science
Zitationen: 1
Dimensions
Zitationen: 1
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung – Atmosphärische Spurenstoffe und Fernerkundung (IMK-ASF)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2023
Sprache Englisch
Identifikator ISSN: 1867-8548
KITopen-ID: 1000164439
HGF-Programm 12.11.25 (POF IV, LK 01) Atmospheric composition and circulation changes
Erschienen in Atmospheric Measurement Techniques
Verlag Copernicus Publications
Band 16
Heft 19
Seiten 4589–4642
Bemerkung zur Veröffentlichung Gefördert durch den KIT-Publikationsfonds
Vorab online veröffentlicht am 12.10.2023
Nachgewiesen in Web of Science
Dimensions
Scopus
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