Starten Sie Ihre Suche...


Durch die Nutzung unserer Webseite erklären Sie sich damit einverstanden, dass wir Cookies verwenden. Weitere Informationen

A model for warm clouds with implicit droplet activation, avoiding saturation adjustment

Mathematics of climate and weather forecasting. Bd. 4. H. 1. Berlin: de Gruyter 2018 S. 50 - 78

Erscheinungsjahr: 2018

ISBN/ISSN: 2353-6438

Publikationstyp: Zeitschriftenaufsatz (Elektronische Ressource)

Sprache: Englisch

GeprüftBibliothek

Inhaltszusammenfassung


The representation of cloud processes in weather and climate models is crucial for their feedback on atmospheric flows. Since there is no general macroscopic theory of clouds, the parameterization of clouds in corresponding simulation software depends crucially on the underlying modeling assumptions. In this study we present a new model of intermediate complexity (a one-and-a-half moment scheme) for warm clouds, which is derived from physical principles. Our model consists of a system of diff...The representation of cloud processes in weather and climate models is crucial for their feedback on atmospheric flows. Since there is no general macroscopic theory of clouds, the parameterization of clouds in corresponding simulation software depends crucially on the underlying modeling assumptions. In this study we present a new model of intermediate complexity (a one-and-a-half moment scheme) for warm clouds, which is derived from physical principles. Our model consists of a system of differential-algebraic equations which allows for supersaturation and comprises intrinsic automated droplet activation due to a coupling of the droplet mass- and number concentrations tailored to this problem. For the numerical solution of this system we recommend a semi-implicit integration scheme, with efficient solvers for the implicit parts. The new model shows encouraging numerical results when compared with alternative cloud parameterizations, and it is well suited to investigate model uncertainties and to quantify predictability of weather events in moist atmospheric regimes.» weiterlesen» einklappen

Autoren


Porz, Nikolas (Autor)
Hanke, Martin (Autor)
Baumgartner, Manuel (Autor)
Spichtinger, Peter (Autor)

Klassifikation


DFG Fachgebiet:
Mathematik

DDC Sachgruppe:
Mathematik