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          Water and natural resources systems management: multiobjective spatial decision
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          Geothermal energy: resource assessment, sedimentary basins, reservoir thermal-hydraulic
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USGS Staff Profile:
USGS Staff Profile:
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   '@context': https://schema.org

Revision as of 17:26, 23 May 2024

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USGS Staff Profile: 

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   abstract: Jared D. Smith, Ph.D., is a Machine Learning Specialist in the USGS
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     mathematical models with statistical analyses to inform planning and management
     decisions for environmental, earth-energy, and water resources systems. Jared
     joined the USGS in 2021 after completing a postdoc at The University of Virginia,
     where he developed green infrastructure portfolio optimizations that were designed
     to be robust to Bayesian-estimated parametric uncertainty of a watershed model.
     Jared completed his Ph.D. at Cornell University, where his research addressed
     Appalachian Basin geothermal resource assessment and subsequent uncertainty
     assessments for deep geothermal district heating projects at the Cornell and
     West Virginia University campuses. Previous work has also addressed ice jam
     flood frequency analysis under climate change, applied to the Peace-Athabasca
     Delta in Canada.
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   abstract: "\u200BCluster Analysis and Prediction of Flood Flow Metrics for Minimally\
     \ Altered Catchments in the Conterminous United States, HydroML Symposium 2022"
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   abstract: Discovering Flood Regions and Predicting Flood Flow Metrics to Inform
     Bridge Scour Studies in the Conterminous United States, National Hydraulic Engineering
     Conference, 2022
   additionalType: staff profile page abstract
 email: jsmith@usgs.gov
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     2016
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 name: Jared Smith
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Retrieved from "https://geokb.wikibase.cloud/w/index.php?title=Item_talk:Q49376&oldid=692691"