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DTSTAMP:20190719T085754Z
LOCATION:HG D 1.1
DTSTART;TZID=Europe/Stockholm:20190613T164500
DTEND;TZID=Europe/Stockholm:20190613T184500
UID:submissions.pasc-conference.org_PASC19_sess118@linklings.com
SUMMARY:MS32 - Advances in Interdisciplinarity between Ocean, Climate Simu
 lation and Deep Learning
DESCRIPTION:Minisymposium\nComputer Science and Applied Mathematics, Emerg
 ing Application Domains, Climate and Weather, Physics\n\nPhysics-Informed 
 Generative Learning to Emulate Unresolved Physics in Climate Models\n\nKas
 hinath, Wu, Albert, Prabhat\n\nSimulating Earth's climate often involves s
 olving nonlinear coupled PDEs with multi-scale physics that cannot be full
 y resolved and requires parameterizations for sub-grid scale phenomena. Th
 erefore, reliable and accurate models to parameterize unresolved and under
 -resolved physics, such as atmosphe...\n\n---------------------\nDeep Lear
 ning Based Understanding of the Land Surface\n\nFu\n\nOur study aims at un
 derstanding the land surface from remote sensing images based on deep lear
 ning. More specifically, we focus on solving three typical geoscience rese
 arch issues, i.e., land cover classification, oil palm tree detection, and
  building extraction. First, we will present a novel deep ...\n\n---------
 ------------\nThe Use of Interpretation in Wave Forecast\n\nWang\n\nThe ac
 curacy of the wave numerical model is not perfect, especially for the cost
 al offshore. The interpretation is used as the effect method to correct th
 e wave forecast. Here we present the application of the interpretation use
 d in the China operational wave forecast to correct the forecast for the..
 .\n\n---------------------\nDeep Learning Predicts ENSO\n\nHuang, Chen, Wa
 ng\n\nThe El Niño-Southern Oscillation (ENSO)is one of the most inf
 luential coupled air-sea phenomena in earth system. Here we explore a nove
 l method for ENSO prediction based on deep learning technology. The networ
 k is deep enough with 36 ResNet layers in total and can be fed with single
  or multip...\n
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