Reaction Shaper: Topological and Geometric Toolkit for Storing and Analyzing Heterogeneous Data PHASE I Final Report
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Hineman, Jay↗
Engineering topics
Publications and source records attributed to Hineman, Jay.
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Focal Area: Data acquisition and assimilation enabled by machine learning (ML), artificial intelligence (AI) and advanced methods. Science Challenge: Tropical cyclones can in- duce extreme water cycle events through dramatic precipitation and storm surge. More reliable models of intensity will translate into better prediction of the impact of extreme events in large scale Earth systems simulations. We demonstrate and describe AI/ML methodologies for rapid assimilation of new, in situ data products.