Item talk:Q44571

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Revision as of 12:39, 20 October 2023 by Sky (talk | contribs) (Updated person data cache with ORCID information)

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usgs_staff_profile:

 meta:
   status_code: 200
   timestamp: '2023-09-30T15:20:29.842216'
   url: https://www.usgs.gov/staff-profiles/samuel-h-austin
 profile:
   abstracts: []
   affiliations: []
   education:
   - Duke University School of the Environment, MF, Forestry
   - Warren Wilson College, BA, Environmental Science
   email: saustin@usgs.gov
   expertise_terms:
   - hydrology
   - forest ecosystems
   - system dynamics modeling
   - analytical statistical methods
   - streamflow
   - fluvial geomorphology
   - ecological processes
   - ecosystem functions
   - biodiversity
   - environmental assessment
   - surface water (non-marine)
   - freshwater ecosystems
   - sedimentation
   - sediment transport
   - deforestation
   - human impacts
   - land use change
   honors: []
   intro_statements:
   - Hydrologist, USGS Virginia and West Virginia Water Science Center.
   name: Samuel H. Austin
   name_qualifier: null
   orcid: 0000-0001-5626-023X
   organization_link: https://www.usgs.gov/centers/virginia-and-west-virginia-water-science-center
   organization_name: Virginia and West Virginia Water Science Center
   personal_statement: 'Areas of interest: Surface water hydrology, fluvial geomorphology,
     environmental and economic analytics, forest management, forecasting, scenario
     analysis. Evaluating management decisions, trends, time-series, economic and
     financial questions, supply-chain dynamics, logistics, impulse-response problems.Special
     skills: System dynamics modeling, developing project specific analytical tools,
     custom design of sampling experiments, characterizing statistical variation
     and relations, determining probable outcomes, testing data for trends, evaluating
     large and small datasets, reconditioning data.Methods applied: Discrete and
     dynamic modeling and simulation. Evaluation of processes, decision interactions,
     and outcomes that include identifying system structure and simulating endogenous
     feedback. Interpreting, and characterizing large datasets using innovative statistical
     methods.Fields of endeavor: Forest land-use and carbon metrics, surface water
     flows, hydrology, fluvial geomorphology, processes that include humans and ecosystems.Areas
     of special knowledge: forest hydrology, fluvial geomorphology, watershed analysis,
     forest ecosystem dynamics, open channel flow, suspended and bed sediments, particle
     shear stress, critical shear velocities, stream classification and evaluation,
     production-distribution and control systems, management decision-making, biogeochemical
     cycling and feedback in natural systems.See ORC-ID page for examples illustrating
     the educational potential of interactive simulation tools.Darcys LawUrban
     RunoffSediment Motion'
   professional_experience: []
   title: Hydrologist