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Disentangling different moisture transport pathways over the eastern subtropical North Atlantic using multi-platform isotope observations and high-resolution numerical modelling

Dahinden, Fabienne; Aemisegger, Franziska; Wernli, Heini; Schneider, Matthias; Diekmann, Christopher J.; Ertl, Benjamin; Knippertz, Peter ORCID iD icon; Werner, Martin; Pfahl, Stephan

Abstract:

Due to its dryness, the subtropical free troposphere plays a critical role in the radiative balance of the Earth’s climate system. But the complex interactions of the dynamical and physical processes controlling the variability in the moisture budget of this sensitive region of the subtropical atmosphere are still not fully understood. Stable water isotopes can provide important information about several of the latter processes, namely subsidence drying, turbulent mixing, dry and moist convective moistening. In this study, we use high-resolution simulations of the isotope-enabled version of the regional weather and climate prediction model of the Consortium for Small-Scale Modelling (COSMO$_{iso}$) to investigate predominant moisture transport pathways in the Canary Islands region in the eastern subtropical North Atlantic. Comparison of the simulated isotope signals with multi-platform isotope observations (aircraft-based in situ measurements, ground-based and space-based remote sensing observations) from a field campaign in summer 2013 shows that COSMO$_{iso}$ can reproduce the observed variability of stable water vapour isotopes on time scales of hours to days, and thus allows studying the mechanisms that control the subtropical free-tropospheric humidity. ... mehr


Preprint §
DOI: 10.5445/IR/1000132752
Veröffentlicht am 12.05.2021
Originalveröffentlichung
DOI: 10.5194/acp-2021-269
Dimensions
Zitationen: 2
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung – Atmosphärische Spurenstoffe und Fernerkundung (IMK-ASF)
Institut für Meteorologie und Klimaforschung Troposphärenforschung (IMKTRO)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2021
Sprache Englisch
Identifikator ISSN: 1680-7367, 1680-7375
KITopen-ID: 1000132752
HGF-Programm 12.11.34 (POF IV, LK 01) Improved predictions from weather to climate scales
Erschienen in Atmospheric chemistry and physics / Discussions
Verlag European Geosciences Union (EGU)
Band 2021
Bemerkung zur Veröffentlichung Preprint
Vorab online veröffentlicht am 21.04.2021
Nachgewiesen in Dimensions
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