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DTSTART:19700308T020000
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DTSTAMP:20190719T085754Z
LOCATION:HG D 1.2
DTSTART;TZID=Europe/Stockholm:20190614T133000
DTEND;TZID=Europe/Stockholm:20190614T153000
UID:submissions.pasc-conference.org_PASC19_sess114@linklings.com
SUMMARY:MS53 - Machine Learning in Weather and Climate
DESCRIPTION:Minisymposium\nClimate and Weather\n\nNeuronal Network Integra
 tion in RAPS\n\nProgsch\n\nIntegrating recent advances in machine learning
  such as deep neuronal networks into existing scientific software poses un
 ique challenges. We present our experiences and results from ongoing work 
 on introducing neuronal networks into the radiation solver of RAPS. To thi
 s end we added facilities to ca...\n\n---------------------\nAn Overview o
 f Current Machine Learning Applications in Weather and Climate\n\nDueben, 
 Adams\n\nIn recent years the usage of Machine Learning techniques in many 
 different domains has expanded considerably due to the increasing availabi
 lity of large datasets and compute power. Machine Learning is not a new co
 ncept in the Weather and Climate domain. Traditional Artificial Neural Net
 works have be...\n\n---------------------\nDeep Learning for Weather Uncer
 tainty in Ensemble Prediction Systems\n\nBen-Nun, Hoefler\n\nDeep Learning
  for Weather Uncertainty in Ensemble Prediction Systems\n\n---------------
 ------\nNeural Networks for Weather and Climate Forecasting: Training on P
 ast Weather Forecasts and Output of Simple Climate Models\n\nScher, Messor
 i\n\nWe present progress on using artificial neural networks, specifically
  Convolutional Neural Networks (CNNs) for the problem of weather and clima
 te forecasting. First the use of CNNs to predict the uncertainty of synopt
 ic weather forecasts, trained on past weather forecasts, will be presented
 . Then we...\n
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