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and, as needed, coordinates with other CW3E PI's in preparing project proposals. Takes a lead role in the development of radar data assimilation algorithms for atmospheric rivers and heavy
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through development of data and information science, advancing innovative computing paradigms and developing new contextual learning algorithms and methodologies that can transform society. SDSC will serve
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implementing weather and climate observations, numerical modeling, machine learning algorithms, and decision support tools focused on atmospheric, land-surface, and hydrologic conditions related to extreme
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