External Doctoral Candidate - Nora Schenk, M. Sc.
Research interests
- Particle filter methods for high-dimensional spaces (e.g. for application in Numerical Weather Prediction)
- In particular the application of localized particle filters in data assimilation with respect to the global ICON model as well as the regional ICON-LAM model
- Ensemble filter data assimilation methods with respect to different dynamical systems, e.g. Lorenz 1963 or Lorenz 1996
- Stability of Bayesian data assimilation methods
Publications
Submitted papers
- A. Walter, N. Schenk, P.-J. van Leeuwen, R. Potthast, Particle Filtering and Gaussian Mixtures - On a Localized Mixture Coefficients Particle Filter (LMCPF) for global NWP
Publications in peer-reviewed journals
Talks
- A 4D-Localized Particle Filter Method for Regional Data Assimilation at DWD, Dynamical Systems Applied to Biology and Natural Sciences (DSABNS) 2022, virtual, February 2022
- Introduction to Particle Filter Methods and the Application in Numerical Weather Prediction, WG Mesoscale Meteorology and Climate - Institute for Atmospheric and Environmental Sciences, Goethe-University Frankfurt am Main, November 2021
- 4D-Localized Particle Filter Method in KENDA for ICON-LAM, WCRP-WWRP Symposium on Data Assimilation and Reanalysis, virtual, September 2021
- Analysis of the Localized Mixture Coefficients Particle Filter (LMCPF) using the Lorenz Systems as an Example, FE1-Forum DWD, virtual, May 2021
Activities
Awards and Fellowships
- Award for the best master's degree sponsored by Alte Leipziger Lebensversicherung a.G. (2020)
- DAAD-PROMOS-Scholarship for a semester abroad at the University of Toronto, Canada (2018)
- Germany Scholarship at Goethe University Frankfurt am Main (October 2015 - September 2017)
deutsche Version