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Convective precipitation simulated with ICON over heterogeneous surfaces in dependence on model and land-surface resolution

Singh, Shweta

The impact of land-surface properties like vegetation, soil type and soil moisture, and the orography on the atmosphere is manifold. On the one hand, these features determine the evolution of the atmospheric boundary layer, in particular, the convective conditions and further the exchange of mass, momentum, heat, and humidity with the free troposphere. Subsequently, the land surface also influences the pre-convective environment. On the other hand, land-surface heterogeneity results in the spatial variability of the land-surface parameters, which often leads to thermally-induced circulations and associated convergence zones in the convective boundary layer. These, in turn, act as trigger mechanisms for convective clouds and precipitation. That means in simulations, the distribution and amount of clouds and subsequent precipitation depend on the resolution of land-surface and model grid spacing ($\Delta_h$) alike. Therefore, the focus of the study is to (i) compare areal mean precipitation for different model grid spacings and land-surface resolutions, (ii) analyse reasons for their differences, (iii) investigate spatial precipitation patterns, and describe relevant trigger mechanisms of convection. ... mehr

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DOI: 10.5445/IR/1000126992
Veröffentlicht am 01.12.2020
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung - Forschungsbereich Troposphäre (IMK-TRO)
Publikationstyp Hochschulschrift
Publikationsdatum 01.12.2020
Sprache Englisch
Identifikator KITopen-ID: 1000126992
HGF-Programm 12.01.02 (POF III, LK 01) Proc.res.f.multisc.predictab.of weather
Verlag Karlsruher Institut für Technologie (KIT)
Serie Wiss. Berichte des Instituts für Meteorologie und Klimaforschung
Art der Arbeit Dissertation
Fakultät Fakultät für Physik (PHYSIK)
Institut Institut für Meteorologie und Klimaforschung - Forschungsbereich Troposphäre (IMK-TRO)
Prüfungsdatum 24.04.2020
Referent/Betreuer Prof. Dr. Christoph Kottmeier
Projektinformation VP: HD(CP)2-S4 (BMBF, 01LK1506E)
Schlagwörter ICON, LES, heat and moisture budgets, HD(CP)2, evaporative cooling, entrainment, cloud aggregation, LAGRANTO, triggering mechanisms, cold pool, regression coefficients
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