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UID:submissions.pasc-conference.org_PASC24_sess178_pap105@linklings.com
SUMMARY:Scalable GPU-Enabled Creation of Three Dimensional Weather Fronts
DESCRIPTION:Paper\n\nStefan Niebler, Bertil Schmidt, Peter Spichtinger, an
 d Holger Tost (Johannes Gutenberg University Mainz)\n\nWeather fronts play
  an important role in atmospheric science. Their correlation to severe nat
 ural hazards such as extreme precipitation, cyclones or thunderstorms make
 s localization and understanding of frontal systems an important factor in
  weather forecasting. Despite\ntheir importance weather fronts are mostly 
 studied on horizontal slices, ignoring their three-dimensional characteris
 tics. In this paper we present an efficient GPU-based parallelization for 
 the detection of three-dimensional weather fronts. We achieve comparable s
 kill to our previous CPU-based method, on which we based our algorithm, wh
 ile being more than two orders-of-magnitude faster. Furthermore, we extend
  our previous method by providing additional information for warm, cold, o
 ccluded, and stationary fronts. Thus, our approach drastically increases t
 he ability to provide statistical evaluations of three-dimensional fronts 
 for different setups. Even faster runtimes can be achieved by using multip
 le GPUs with linear scaling\n\nDomain: Climate, Weather, and Earth Science
 s\n\nSession Chair: Jack Atkinson (University of Cambridge)
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