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BEGIN:VEVENT
DTSTAMP:20220812T074335Z
LOCATION:Osaka Room
DTSTART;TZID=Europe/Stockholm:20220629T150000
DTEND;TZID=Europe/Stockholm:20220629T153000
UID:submissions.pasc-conference.org_PASC22_sess168_msa278@linklings.com
SUMMARY:Building End-to-End Computing Capabilities in Flood Response and M
 itigation for Climate and Infrastructure Resilience
DESCRIPTION:Minisymposium\n\nBuilding End-to-End Computing Capabilities in
  Flood Response and Mitigation for Climate and Infrastructure Resilience\n
 \nLiu\n\nFlood emergency management becomes increasingly crucial as stakeh
 olders develop resilience programs in response to more frequent extreme ev
 ents such as hurricanes. Developing highly usable flood inundation mapping
  and forecast/nowcast solutions on high-resolution terrain and hydrology d
 atasets at regional and national scales is an ongoing research and develop
 ment topic that has drawn significant attention recently. The end-to-end u
 sability from the backend high-performance and cloud computing environment
  to inundation information delivery to devices in the hands of first respo
 nders and state operation centers requires tremendous near real-time data,
  computing, and visualization capabilities for data-intensive processing a
 nd streaming, compute-intensive modeling, flood inundation mapping, and ed
 ge-side visualization and user interactions. In this talk, we will present
  R&D challenges and ongoing efforts in the Continental Flood Inundation Ma
 pping framework and the Pin2Flood project, a mobile application built for 
 first responders in Texas. We will demonstrate the backend computational w
 orkflow that couples data-intensive computing and extreme-scale computing 
 paradigms for efficient geocomputation of large heterogeneous geospatial d
 atasets. We will also present the design and practice of the Pin2Flood app
  in knowledge integration and the understanding of edge-computing perspect
 ives across multiple stakeholders.\n\nDomain: Climate, Weather and Earth S
 ciences, Computer Science and Applied Mathematics, Humanities and Social S
 ciences, Engineering
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