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A reassessment of the discrepancies in the annual variation of δD-H2O in the tropical lower stratosphere between the MIPAS and ACE-FTS satellite data sets

Lossow, Stefan; Högberg, Charlotta; Khosrawi, Farahnaz; Stiller, Gabriele P.; Bauer, Ralf; Walker, Kaley A.; Kellmann, Sylvia; Linden, Andrea; Kiefer, Michael; Glatthor, Norbert; von Clarmann, Thomas; Murtagh, Donal P.; Steinwagner, Jörg; Röckmann, Thomas; Eichinger, Roland

The annual variation of δD in the tropical lower stratosphere is a critical indicator for the relative importance of different processes contributing to the transport of water vapour through the cold tropical tropopause region into the stratosphere. Distinct observational 5 discrepancies of the δD annual variation were visible in the works of Steinwagner et al. (2010) and Randel et al. (2012), focusing on MIPAS (Michelson Interferometer for Passive Atmospheric Sounding) and ACE-FTS (Atmospheric Chemistry Experiment-Fourier Transform Spectrometer) data, respectively. Here we reassess the discrepancies based on newer MIPAS and ACE-FTS data sets, showing for completeness also results from SMR (Sub-Millimetre Radiometer) observations and a ECHAM/MESSy (European Centre for Medium-Range Weather Forecasts Hamburg/Modular Earth 10 Submodel System) Atmospheric Chemistry (EMAC) simulation (Eichinger et al., 2015b). Similar to the old analyses, the MIPAS data sets yield a pronounced annual variation (maximum about 75%₀) while that derived from the ACE-FTS data sets is rather weak (maximum about 25%₀). While all data sets exhibit the phase progression typical for the tape recorder the annual maximum in the ACE-FTS data set precedes that in the MIPAS data set by 2 to 3 months. ... mehr

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Verlagsausgabe §
DOI: 10.5445/IR/1000098714
Veröffentlicht am 07.10.2019
DOI: 10.5194/amt-2019-309
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: 1867-8610
KITopen-ID: 1000098714
HGF-Programm 12.04.05 (POF III, LK 01)
Trends,Variaility,Large-Scale Processes
Erschienen in Atmospheric measurement techniques discussions
Seiten 1–38
Vorab online veröffentlicht am 20.09.2019
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