Seeking a Talented Atmospheric Modeler for a geodetic application (GNSS)Are you passionate about climate modeling and eager to work on cutting-edge research? I am looking for a talented individual to contribute to developing and applying the large eddy simulation (LES) model PALM for a NEW AND INNOVATIVE geodetic application with GNSS observations. We will retrieve and study turbulence parameters from water vapor content.
Applications are: turbulence parameterizations (water vapor) in numerical weather forecast models and, thus, more trustworthy nowcasts. Radiative Transfer Models will also benefit from the simulations.
Expected:**Conduct atmospheric simulations using PALM
**Analyze and interpret simulation results, combined with real data from a specific experiment
**Develop and implement new model capabilities for GNSS meteorology applications
**Collaborate with interdisciplinary teams
What can you expect from me?I am 100% dedicated to my students' success. Together, we will work closely to achieve timely results. We will publish articles in high-impact journals and attend conferences to help you build a strong professional network.
Check who I am at: https://www.linkedin.com/in/gael-kermarrec-aaa5531a4/ or https://www.researchgate.net/profile/Gael-Kermarrec
Don't hesitate to contact me for more information kermarrec@meteo.uni-hannover.de
Looking for:***Experience with numerical modeling and high-performance computing (for instance using WRF or WRF-LES). Able to model with WRF or/and PALM or any other LES/atmospheric software. Integrate accurate geodata into the models (DMT, land use, accurate topography etc).
**Interpret results related to water vapor.
**Proficiency in programming languages (e.g., Python, Fortran), at least a high interest in learning quickly how atmospheric simulation with LES are performed with PALM (geographic data assimilation, modeling)
**If possible background in atmospheric science, knowledge of atmospheric boundary layer processes and turbulence modeling, geodetic background (GPS)
ConditionsThe job should start by the end of 2025, potentially earlier or later. It is full-time but can be reduced to partial without any problem. The job is based in Hanover, (Germany) at the LUH (Startseite – Institut für Meteorologie und Klimatologie – Leibniz Universität Hannover). I accept partial remote work (more likely from Germany) provided that the candidate shows high motivation and has a background with PALM/LES. Some project meetings will be held in Berlin and Lindenberg to understand the field measurements and the context.