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NAME:IMK Kalender / IMK Calendar
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DTSTART:19700329T020000
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UID: 63158
DTSTAMP:20261017T204104Z
SUMMARY:From Hailstones to Impacts: Bridging Scales in Severe Convection
 Research
X-ALT-DESC;FMTTYPE=text/html:<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 
 3.2//EN"><HTML><HEAD><TITLE></TITLE></HEAD><BODY>From Hailstones to 
 Impacts: Bridging Scales in Severe Convection Research<br>KIT Campus 
 Süd, Gebäude 30.22, Otto-Lehmann-Hörsaal<br><br><p>Hail and severe 
 convective storms rank among the most damaging weather hazards in 
 Central Europe. Relevant processes span a range of scales: from 
 hailstone growth at the microphysical level over storm dynamics and 
 organization on the mesoscale to larger-scale synoptic environments and 
 long-term climate change. The analysis of societal risk adds complexity, 
 since impacts depend on exposure, vulnerability, and how extremes 
 combine. This talk brings together several lines of research, linking 
 processes to impacts across scales. Firstly, we investigate if we can 
 learn about relevant processes from machine learning models that predict 
 observed hail stone sizes. Secondly, on a regional scale, we explore 
 whether emerging convective hotspots around the European Alps can be 
 connected to large-scale patterns. Finally, we focus on impact 
 relevance, presenting resampling and storyline approaches that allow for 
 process-sensitive risk modeling to address both short-term and long-term 
 impact assessments.</p><br></BODY></HTML>
DESCRIPTION: From Hailstones to Impacts: Bridging Scales in Severe
 Convection Research\nKIT Campus Süd, Gebäude 30.22,
 Otto-Lehmann-Hörsaal\n\n<p>Hail and severe convective storms rank among
 the most damaging weather hazards in Central Europe. Relevant processes
 span a range of scales: from hailstone growth at the microphysical level
 over storm dynamics and organization on the mesoscale to larger-scale
 synoptic environments and long-term climate change. The analysis of
 societal risk adds complexity, since impacts depend on exposure,
 vulnerability, and how extremes combine. This talk brings together
 several lines of research, linking processes to impacts across scales.
 Firstly, we investigate if we can learn about relevant processes from
 machine learning models that predict observed hail stone sizes.
 Secondly, on a regional scale, we explore whether emerging convective
 hotspots around the European Alps can be connected to large-scale
 patterns. Finally, we focus on impact relevance, presenting resampling
 and storyline approaches that allow for process-sensitive risk modeling
 to address both short-term and long-term impact assessments.</p>\n
DTSTART;TZID=Europe/Berlin:20270216T154500
DTEND;TZID=Europe/Berlin:20270216T164500
LOCATION:KIT Campus Süd, Gebäude 30.22, Otto-Lehmann-Hörsaal
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