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DTSTART:19700308T020000
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DTSTAMP:20210402T160559Z
LOCATION:Track 8
DTSTART;TZID=America/New_York:20201113T171500
DTEND;TZID=America/New_York:20201113T173500
UID:submissions.supercomputing.org_SC20_sess227_pec322@linklings.com
SUMMARY:Validating Oil Spill Dispersion Models Against Real-World Observat
 ions Using the GeoPandas Library
DESCRIPTION:Workshop\n\nValidating Oil Spill Dispersion Models Against Rea
 l-World Observations Using the GeoPandas Library\n\nDearden\n\nThis talk p
 resents the results of a collaboration between the STFC Hartree Centre and
  Riskaware Ltd, the aim of which was to create a software validation suite
  to quantify the accuracy of oil spill model predictions against real-worl
 d observations of actual oil spills. The validation methodology is based o
 n a specific set of performance metrics, involving the use of satellite im
 agery and coastal report data. We discuss the key features of the GeoPanda
 s Python library that we used to read and process the geospatial datasets,
  including the ability to calculate areas of overlap and centroid location
 s, two quantities that underpin the performance metrics used to assess the
  model output. We present an example of how we applied our software to an 
 historic case study, and explain how the metrics are helping to aid the cl
 ean up operation of real oil spills at sea.\n\nRegistration Category: Work
 shop Reg Pass
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