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DTSTART:19700308T020000
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DTSTAMP:20191206T142522Z
LOCATION:Panorama 3
DTSTART;TZID=Europe/Stockholm:20180626T134500
DTEND;TZID=Europe/Stockholm:20180626T151500
UID:isc_hpc_ISC High Performance 2018_sess124@linklings.com
SUMMARY:Tornados, Disaster & Early Warnings
DESCRIPTION:Focus Session\n\nEC-Earth, a coupled Climate Model for extreme
  Event Prediction\n\nSerradell Maronda\n\nNowadays, delivering an accurate
  forecast for climate extreme events has become a challenge for both clima
 te modelers and computational scientists. Improving the model skills is to
  a certain point associated with increasing the spatial resolution, adding
  more processes and running large ensembles. T...\n\n---------------------
 \nA Step Ahead: Novel HPC Approaches to provide Early Warnings for Severe 
 Weather\n\nLapillonne\n\nSevere weather warnings based on numerical weathe
 r prediction models are a public service offered by the government and for
 m part of basic meteorological provision. Accurate and timely warnings pla
 y an important role in protecting the public and informing the economic se
 ctor. But, the weather and cl...\n\n---------------------\nWildfires Simul
 ation, Front Evolution, Fire induced Weather and Pollution\n\nFilippi\n\nA
 ullene fire devastated more than 3000ha of Mediterranean maquis and pine f
 orest in July 2009. Simulation of combustion processes as well as atmosphe
 rics dynamics represents a challenge for such scenarios because of the sca
 le of the phenomenon. A coupled approach between Meso-NH (Non-Hydrostatic)
  LE...\n\n---------------------\nTowards Global Cloud-Resolving Weather an
 d Climate Prediction at Exascale\n\nNeumann\n\nGlobal high-resolution, tha
 t is kilometer-scale, simulations enable reliable and accurate weather and
  climate predictions. By resolving clouds and storms, uncertainties in the
  model parametrization are reduced. This is particularly expected to impro
 ve future climate models and thus enable a more acc...\n\n\nPasses: Confer
 ence Pass
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