Item talk:Q49376

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ORCiD: 

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     biography:
       content: 'My research interests include mathematical modeling and spatial
         statistical analysis of environmental, earth-energy, and water resources
         systems.

         Water and natural resources systems management: multiobjective spatial decision
         analysis, risk analysis, and uncertainty analysis.

         Geothermal energy: resource assessment, sedimentary basins, reservoir thermal-hydraulic
         modeling, direct-use, bottom-hole temperature corrections, exploratory spatial
         data analysis.



         My research has addressed exploratory spatial data analysis for geothermal
         datasets, stochastic methods for low-temperature geothermal resource assessment
         models, and stochastic methods for probabilistic assessment of geothermal
         reservoir models. These methods were applied in several research projects
         that evaluated the feasibility of geothermal direct-use heat utilization
         systems in the Appalachian Basin.'
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USGS Staff Profile: 

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 '@type': Person
 affiliation: []
 description:
 - '@type': TextObject
   abstract: Machine Learning Specialist with the Water Resources Mission Area
   additionalType: short description
 - '@type': TextObject
   abstract: Jared D. Smith, Ph.D., is a Machine Learning Specialist in the USGS
     Water Resources Mission Area. He is based in Reston, VA.
   additionalType: staff profile page introductory statement
 - '@type': TextObject
   abstract: Jared has a background in environmental systems engineering, spatial
     data analysis, and statistics. His previous research has coupled physical and
     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.
   additionalType: personal statement
 - '@type': TextObject
   abstract: "\u200BCluster Analysis and Prediction of Flood Flow Metrics for Minimally\
     \ Altered Catchments in the Conterminous United States, HydroML Symposium 2022"
   additionalType: staff profile page abstract
 - '@type': TextObject
   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
 hasCredential:
 - '@type': EducationalOccupationalCredential
   name: "\u200BPh.D. Environmental and Water Resources Systems Engineering, Cornell\
     \ University, 2019"
 - '@type': EducationalOccupationalCredential
   name: M.S. Environmental and Water Resources Systems Engineering, Cornell University,
     2016
 - '@type': EducationalOccupationalCredential
   name: B.S. Environmental Engineering, Clarkson University, 2013
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     name: Water Resources Mission Area
     url: https://www.usgs.gov/mission-areas/water-resources
   roleName: Machine Learning Specialist
   startDate: '2024-05-12T15:17:41.378526'
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   name: Model Diagnostics
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   additionalType: self-claimed expertise
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 - '@type': Thing
   additionalType: self-claimed expertise
   name: Hydrologic Statistics
 - '@type': Thing
   additionalType: self-claimed expertise
   name: Optimization
 - '@type': Thing
   additionalType: self-claimed expertise
   name: Water Resource Management
 - '@type': Thing
   additionalType: self-claimed expertise
   name: Surface Water
 - '@type': Thing
   additionalType: self-claimed expertise
   name: Geothermal Resource Assessment
 - '@type': Thing
   additionalType: self-claimed expertise
   name: Heat Flow
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   member:
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     name: U.S. Geological Survey
   name: staff member
   startDate: '2024-05-12T15:17:41.376020'
 name: Jared Smith
 url: https://www.usgs.gov/staff-profiles/jared-smith
Retrieved from "https://geokb.wikibase.cloud/w/index.php?title=Item_talk:Q49376&oldid=669296"