Dr Julian Quimbayo-Duarte
Grenzschichtmeteorologie
Institut für Atmosphäre und Umwelt
Goethe-Universität Frankfurt am Main
Altenhöferallee 1
D-60438 Frankfurt/Main
Email: quimbayo@iau.uni-frankfurt.de
Grenzschichtmeteorologie
Institut für Atmosphäre und Umwelt
Goethe-Universität Frankfurt am Main
Altenhöferallee 1
D-60438 Frankfurt/Main
Email: quimbayo@iau.uni-frankfurt.de
The understanding of the atmospheric boundary layer processes over complex terrain is
still a challenging open question. Numerical modelling has proven been a great tool
to approach the problem, due to its flexibility and growing computer power in the
last decades.
My research focuses on process analysis through the implementation of large eddy
simulations and mesoscale numerical models. In addition, part of my time is devoted
to exploring atmospheric dynamics with the aim of addressing air quality problems.
Grenzschichtmeteorologie
Institut für Atmosphäre und Umwelt
Goethe-Universität Frankfurt am Main
Altenhöferallee 1
D-60438 Frankfurt/Main
Email: quimbayo@iau.uni-frankfurt.de
Grenzschichtmeteorologie
Institut für Atmosphäre und Umwelt
Goethe-Universität Frankfurt am Main
Altenhöferallee 1
D-60438 Frankfurt/Main
Email: quimbayo@iau.uni-frankfurt.de
The Goethe University Frankfurt has established a new research group on boundary-layer meteorology at its Institute for Atmospheric and Environmental Sciences. The group is headed by a professor Juerg Schmidli. The group research addresses the representation of
the atmospheric boundary layer (ABL) in numerical weather prediction, with a particular focus on the cloudy and complex-terrain boundary layer and with a specific application to the German met offige (Deutscher Wetterdienst - DWD) model Icosahedral Non hydrostatic (ICON).
Subgrid-scale (SGS) models for the complex-terrain boundary layer are to be developed which take into account the impact of thermally driven flows, internal gravity waves and other effects of SGS orography. The work relies heavily on large-eddy simulation (LES) for idealized and realworld
cases and on observational data from the HErZ field campaign planned in 2020. The improved treatment of the ABL in ICON is expected to lead to better predictions of local weather phenomena important for energy meteorology and high-impact weather.
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