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GTC ON-DEMAND

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Abstract:
We'll talk about how NOAA and NVIDIA are collaborating to develop deep learning applications to improve use of satellite data in weather forecasting. As model and satellite resolutions increase, data volumes are growing rapidly. AI has the potential to help address this issue by automating some aspects of data analysis. We'll discuss projects involving automated detection, translation, enhancement, and emulation of satellite and model data. We've developed networks to automatically detect high-impact weather events and automatically translate satellite observations into model variables. These networks also create high frame rate video from low frame rate satellite loops and generate new physical parameterizations of ground water directly from data. We'll share our results to date and discuss techniques used, lessons learned, and future plans.
We'll talk about how NOAA and NVIDIA are collaborating to develop deep learning applications to improve use of satellite data in weather forecasting. As model and satellite resolutions increase, data volumes are growing rapidly. AI has the potential to help address this issue by automating some aspects of data analysis. We'll discuss projects involving automated detection, translation, enhancement, and emulation of satellite and model data. We've developed networks to automatically detect high-impact weather events and automatically translate satellite observations into model variables. These networks also create high frame rate video from low frame rate satellite loops and generate new physical parameterizations of ground water directly from data. We'll share our results to date and discuss techniques used, lessons learned, and future plans.  Back
 
Topics:
Climate, Weather & Ocean Modeling, Accelerated Data Science
Type:
Talk
Event:
GTC Silicon Valley
Year:
2019
Session ID:
S9217
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