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Potential of Mid-tropospheric Water Vapor Isotopes to Improve Large-Scale Circulation and Weather Predictability

Toride, Kinya; Yoshimura, Kei; Tada, Masataka; Diekmann, Christopher; Ertl, Benjamin; Khosrawi, Farahnaz; Schneider, Matthias

Abstract:
Recent satellite techniques have uncovered detailed tropospheric water vapor isotope patterns on a daily basis, yet the significance of water isotopes on weather forecasting has remained largely unknown. Here, we perform a proof‐of‐concept observing system simulation experiment to show that mid‐tropospheric water isotopes observed by the Infrared Atmospheric Sounding Interferometer (IASI) can substantially improve weather forecasts through non‐local impacts on the convective heating structure and large‐scale circulation. Assimilating IASI isotopes can improve wind, humidity, and temperature fields by more than 10% at mid‐troposphere compared to only assimilating conventional non‐isotopic observations. These improvements are about two‐thirds of assimilating simultaneous IASI water vapor observations. The improvements can be attributed more to thermodynamic (phase change) effects than dynamic (transport) effects of water isotopes. Furthermore, isotopic observations produce additional 3%–4% improvements to the fields constrained by the conventional observations and simultaneous IASI water vapor observations, demonstrating the unique characteristics of water isotopes.
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Verlagsausgabe §
DOI: 10.5445/IR/1000130903
Frei zugänglich ab 01.07.2022
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung (IMK)
Steinbuch Centre for Computing (SCC)
KIT-Zentrum Klima und Umwelt (ZKU)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2021
Sprache Englisch
Identifikator ISSN: 0094-8276, 1944-8007
KITopen-ID: 1000130903
Erschienen in Geophysical Research Letters
Verlag Wiley
Band 48
Heft 5
Schlagwörter data assimilation; IASI; water isotope; weather forecasting
Nachgewiesen in Scopus
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