H. Feldmann, Prof. Dr. Ch. Kottmeier, Prof. Dr. J.G. Pinto, Prof. Dr. A. Fink, Prof. Dr. M. Kunz, Dr. S. Mohr, Dr. A. Voigt
Description of the project
The research program ClimXtreme examines the not yet unambiguously determined relationship between climate change and extreme weather events.
Module A of ClimXtreme analyses the physics and processes, which drive the occurrence of such extremes. The goal is a quantitative understanding, how these mechanisms will changes under climate change und to reduce the uncertainties with respect to the future development. In particular, extreme precipitation, heat waves, droughts and storms are addressed. The institute IMK-TRO contributes to four sub-projects of Module A and one of Module B. These projects are:
• A1 SEVERE: Scale Dependent Process Representation and Sensitivity Analysis for Most Extreme Events (includes coordination)
• A5 DynProHeat: The role of multi-scale Dynamical Processes in shaping recent • and future extreme Heat waves over Germany
• A6 Cyclex: Intensity and structural changes of Extreme mid-latitude Cyclones change in a warming climate and
• A7 VarCluST: Long-term Variability and serial Clustering of Severe Thunderstorms in a changing climate.
• B3.5 MarNet: Identification and Statistics of Extreme Events (Present, Future and Trends) Using Markov Chains and Climate Networks.
The projects all use the existing large ensembles of climate simulations as well as observation and reanalysis data to analyse the large- and small-scale mechanisms, which modify the frequency, intensity and characteristics of extreme events.
The projects are embedded into the framework of ClimXtreme and use the common data- and software-infrastructure, maintained by Module D, and contribute to it. The projects participate in Module-overarching activities, which are concerned with a synergetic analysis of the various types of extreme weather events and the compilation of common event catalogues.
|Scale Dependent Process Representation and Sensitivity Analysis for Most Extreme Events (SEVERE)||
Dipl. Geophys. H. Feldmann, Dr. A. Caldas-Alvarez, Prof. Dr. Ch. Kottmeier
|B3.5 Identification and Statistics of Extreme Events (Present, Future and Trends) Using Markov Chains and Climate Networks||
Dr. G. Schädler
Dr. M. Breil
|Long-term Variability and serial Clustering of Severe Thunderstorms in a changing climate (VarCluST)||
M.Sc. M. Augenstein, Dr. S. Mohr, Prof. Dr. M. Kunz
|A6 CyclEx „Intensity and structural changes of extreme mid-latitude cyclones change in a warming climate“||
PIs: Prof. Dr. Joaquim G. Pinto, Dr. Aiko Voigt
|ClimXtreme A5: The role of multi-scale dynamical processes in shaping recent and future extreme heat waves over Germany (DynProHeat)||
Researcher: F. Becker