Meryl WIMMER
Biography
Meryl WIMMER received her Ph.D. in atmospheric sciences from Université Toulouse III – Paul Sabatier, France, in December 2021.
Her doctoral research, realized at Météo-France, focused on the model error representation in AROME-EPS, the convection-permitting Ensemble Prediction System operational at Météo-France. She investigated the sensitivity of the AROME model to uncertain physical parameters and worked on optimizing perturbed-parameter approaches to improve AROME-EPS skill scores.
In earlier research, she also studied the impact of deep convection parameterization schemes on the structure of the Jet Stream in an extratropical cyclone.
After her PhD, she joined the Laboratoire de Météorologie Dynamique in Paris, France, as a CNES (Centre National d’Études Spatiales) post-doctoral researcher. There, she explored the sensitivity of Arctic cyclone forecasts to cloud parameterizations. She made extensive use of DARDAR satellite data to evaluate the liquid/ice partition function in frontal clouds associated with an Arctic cyclone.
She then worked as a post-doctoral researcher at Goethe University in Frankfurt am Main, Germany, focusing on the triggering of shallow convection and its role in the transition from stratocumulus to cumulus in the Southern Ocean. As part of this work, she also evaluated the performance of the 2TE scheme, a unified parameterization of turbulence and shallow convection.
Now, she is currently a research scientist at Météo-France, as a developer for the physical parameterizations of ARPEGE, the global model operational at Météo-France. Her work focuses on improving the representation of deep convection and integrating physical developments from AROME into ARPEGE, aiming to enhance consistency across the numerical weather prediction systems at Météo-France.
Interests
- Numerical Weather Prediction Systems: ARPEGE, AROME, ICON
- Global Climate Models: LMDZ
- Ensemble Prediction System
- Predictability
- Model Uncertainty: Perturbed Parameters, SPPT, optimized Perturbed Parameter
- Sensitivity Analysis: Morris method, Sobol' indices
- Parameterization: Deep convection, microphysics/large-scale subgrid cloud condensation, shallow convection, 2TE scheme
- Dynamics of mid and high latitudes: Mid-latitude and Arctic Cyclones, Warm Conveyor Belt, Lagrangian Trajectories, Jet Stream, stratocumulus-to-cumulus transition
- Observation and Field Campaigns: NAWDEX, THINICE, SOCRATES, CloudSat, CALIPSO, DARDAR, MODIS, Himawari
