Meryl Wimmer

Meryl Wimmer
  • PhD
  • PostDoc Position at Goethe University Frankfurt

PostDoc researcher at Goethe University Frankfurt

About

11
Publications
645
Reads
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34
Citations
Current institution
Goethe University Frankfurt
Current position
  • PostDoc Position

Publications

Publications (11)
Article
Full-text available
A global sensitivity analysis of the convective‐scale Application of Research to Operations at Mesoscale (AROME) model is performed in order to determine the most influential parameters on the forecast of different near‐surface variables. For that purpose, the Morris method is applied to 21 parameters from six different physical and dynamical param...
Presentation
Full-text available
Presentation of Meryl WIMMER's PhD defense
Preprint
Full-text available
The effect of deep convection parameterization on the jet stream above the cold front of an explosive extratropical cyclone is investigated in the global numerical weather prediction model ARPEGE, operational at Météo-France. Two hindcast simulations differing only in the deep convection scheme used are systematically compared with each other, with...
Article
Full-text available
The effect of parameterized deep convection on warm conveyor belt (WCB) activity and the jet stream is investigated by performing simulations of an explosively developing large-scale cyclone that occurred during the North Atlantic Waveguide and Downstream Impact Experiment (NAWDEX) field campaign using the Météo-France global atmospheric model ARPE...
Article
The THINICE field campaign, based from Svalbard in August 2022, provided unique observations of summertime Arctic cyclones, their coupling with cloud cover, and interactions with tropopause polar vortices and sea ice conditions. THINICE was motivated by the need to advance our understanding of these processes and to improve coupled models used to f...
Article
Full-text available
The effect of deep convection parameterisation on the jet stream above the cold front of an explosive extratropical cyclone is investigated in the global numerical weather prediction model ARPEGE, operational at Météo-France. Two hindcast simulations differing only in the deep convection scheme used are systematically compared with each other, with...
Conference Paper
Full-text available
Working group 1 considered the treatment of model uncertainty (MU) in high-resolution ensembles, at grid spacings of order 1-5 km. These systems are often run for regional weather forecasting, perhaps over a single country, and for lead times of up to 5 days. Looking ahead, ECMWF's strategy seeks to deliver global medium-range ensemble forecasts wi...
Thesis
Full-text available
Malgré une amélioration constante des modèles numériques de prévision du temps, ceux-ci restent toujours entachés d'erreurs. La représentation de ces sources d'erreurs est donc primordiale, en particulier dans les systèmes de Prévision d'Ensemble. La Prévision d'Ensemble AROME (PEARO) utilisée à Météo-France représente actuellement les incertitudes...
Preprint
Full-text available
The effect of parameterized deep convection on warm conveyor belt (WCB) activity and jet stream is investigated by performing simulations of an explosively-developing large-scale cyclone that occurred during the North Atlantic Waveguide and Downstream Impact Experiment (NAWDEX) field campaign using the Météo-France global atmospheric model ARPEGE....

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