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SUMMARY:EESS talk - Student presentation on  "Advancing cloud representati
 on in large-scale models: Introducing RaFSIP framework for ice multiplicat
 ion in mixed-phase clouds"
DTSTART:20240514T123500
DTEND:20240514T130500
DTSTAMP:20260406T212921Z
UID:233d068739688f04b93278825e8d85c835ddb7d7e77626537b4de767
CATEGORIES:Conferences - Seminars
DESCRIPTION:Paraskevi Georgakaki\, LAPI\nAbstract:\nSimulating clouds and 
 their impact on climate has been a long-standing challenge for global clim
 ate models (GCMs)\, largely due to limitations in representing small-scale
  microphysical processes\, typically addressed through empirical parameter
 izations. Mechanisms related to ice formation have been notably overlooked
  compared to liquid-phase processes. As a result\, many weather prediction
  models and GCMs lack descriptions of critical ice multiplication processe
 s capable of efficiently amplifying ice crystal concentrations at relative
 ly warm subzero temperatures. In this talk\, we introduce a novel framewor
 k called RaFSIP\, specifically designed to represent the impact of ice mul
 tiplication in polar stratiform mixed-phase clouds – recognized as the m
 ost radiatively important cloud type. RaFSIP leverages machine learning te
 chniques applied to regional climate simulations\, streamlining its integr
 ation into large-scale models. We incorporate RaFSIP into three European G
 CMs (ECHAM-HAM\, NorESM\, EC-Earth) within the FOR-ICE intercomparison pro
 ject to assess its influence on predicted radiation patterns and precipita
 tion processes.\n\nShort Biography:\nI hold a BSc in Physics from the Univ
 ersity of Crete and an MSc in Environmental Physics and Meteorology from t
 he University of Athens. I am currently working as a postdoctoral research
 er at the Laboratory of Atmospheric Processes and their Impacts (LAPI)\, w
 here I completed my PhD in December 2023 under the supervision of Prof. At
 hanasios Nenes. My PhD research aimed to address critical knowledge gaps i
 n cloud physics related to the production and multiplication of ice partic
 les in the atmosphere\, with a focus on how these processes are represente
 d in large-scale atmospheric models. Refining the representation of such s
 mall-scale cloud processes in global climate models is important for impro
 ving the accuracy of future climate projections.
LOCATION:ALP 1 107 https://plan.epfl.ch/?room==ALP%201%20107 https://epfl.
 zoom.us/j/69011077410
STATUS:CONFIRMED
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