Item talk:Q44683

ORCID:

 '@context': http://schema.org
 '@id': https://orcid.org/0000-0002-7060-8244
 '@reverse': {}
 '@type': Person
 familyName: Barth
 givenName: Nancy A.
 mainEntityOfPage: https://orcid.org/0000-0002-7060-8244

USGS Staff Profile:

 '@context': https://schema.org
 '@type': Person
 affiliation: []
 description:
 - '@type': TextObject
   abstract: Hydrologist with the Wyoming-Montana Water Science Center
   additionalType: short description
 - '@type': TextObject
   abstract: 'Nancy is a hydrologist with the Wyoming-Montana Water Science Center
     in Helena, Montana. She specializes in statistical hydrology: peak-flow flood
     frequency analysis and regression, mixed population analysis, nonstationarity
     and changes in seasonality.'
   additionalType: staff profile page introductory statement
 - '@type': TextObject
   abstract: "Nancy is currently a co-investigator on a multi-year, multi-phase regional\
     \ study evaluating potential nonstationarity in annual peak flows and changes\
     \ in seasonality related to hydroclimatic variability in the Midwest. And she\
     \ is currently updating at-site peak-flow frequency analysis (FFA) in South\
     \ Dakota. Previously she worked on studies to update FFA estimates at both gaged\
     \ and ungaged sites in California and Alaska. She also worked with the USGS\
     \ Office of Surface Water as a corresponding member of the Hydrologic Frequency\
     \ Analysis Workgroup (HFAWG) under ACWI\u2019s Subcommittee on Hydrology to\
     \ update the Federal guidelines for determining flood frequency estimates in\
     \ Bulletin 17C. In 2018, she completed her doctoral research at the University\
     \ of Iowa in Civil and Environmental Engineering focused on improving flood\
     \ frequency estimates based on the hydrometeorologic processes that drive much\
     \ of the mixed populations of peak streamflows throughout the western United\
     \ States. Her doctoral research built upon her work as a hydrologist with the\
     \ USGS to better understand the complex process-driven flood hydrology found\
     \ in the western United States."
   additionalType: personal statement
 email: nabarth@usgs.gov
 hasCredential:
 - '@type': EducationalOccupationalCredential
   name: 'Doctor of Philosophy, Civil and Environmental Engineering, University of
     Iowa, 2018.

     Dissertation: Flood frequency and mixed populations in the western United States'
 - '@type': EducationalOccupationalCredential
   name: 'Master of Science, Geology, California State University, Sacramento, 2010.

     Thesis: Testing for Nonstationarity in the First Two Moments of Peak Flow Data
     in California'
 - '@type': EducationalOccupationalCredential
   name: Bachelor of Science, Geophysics, University of California, Berkeley, 2001.
 hasOccupation:
 - '@type': OrganizationalRole
   affiliatedOrganization:
     '@type': Organization
     name: Wyoming-Montana Water Science Center
     url: https://www.usgs.gov/centers/wyoming-montana-water-science-center
   roleName: Hydrologist
   startDate: '2024-05-12T15:55:45.394777'
 - '@type': Occupation
   additionalType: self-claimed professional experience
   name: 2022-Present Hydrologist, USGS Wyoming-Montana Water Science Center, Helena,
     Montana
 - '@type': Occupation
   additionalType: self-claimed professional experience
   name: 2019-2022 Hydrologist, USGS Dakota Water Science Center, Bismarck, North
     Dakota
 - '@type': Occupation
   additionalType: self-claimed professional experience
   name: 2008-2014 Hydrologist and Master of Science student, USGS California Water
     Science Center, Sacramento, California
 identifier:
 - '@type': PropertyValue
   propertyID: GeoKB
   value: https://geokb.wikibase.cloud/entity/Q44683
 - '@type': PropertyValue
   propertyID: ORCID
   value: 0000-0002-7060-8244
 jobTitle: Hydrologist
 knowsAbout:
 - '@type': Thing
   additionalType: self-claimed expertise
   name: Flood Frequency
 - '@type': Thing
   additionalType: self-claimed expertise
   name: Surface Water
 - '@type': Thing
   additionalType: self-claimed expertise
   name: Statistical Analysis
 - '@type': Thing
   additionalType: self-claimed expertise
   name: Mixed Populations
 - '@type': Thing
   additionalType: self-claimed expertise
   name: Trend Analysis
 memberOf:
   '@type': OrganizationalRole
   member:
     '@type': Organization
     name: U.S. Geological Survey
   name: staff member
   startDate: '2024-05-12T15:55:45.391983'
 name: Nancy A Barth
 url: https://www.usgs.gov/staff-profiles/nancy-a-barth