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WRF-Hydro Team

We are interested in collaborating! Please note that we need at least one month's advance notice for proposals in order to process the paperwork through our administration.

  • Ryan Cabell
    Soft Eng/Prog III
    rcabell@ucar.edu
    303-497-2880

    Project Role: Software Engineer
    Focus Area(s): Focus Area(s):
  • Matthew Casali
    Assoc Scientist II
    casali@ucar.edu
    303-497-1709

    Project Role: Geospatial Dataset Development
  • Aubrey Dugger
    Assoc Scientist IV
    adugger@ucar.edu
    303-497-8418

    Project Role: Hydrologic Processes & Model Evaluation
    Focus Area(s): Hydrologic process modeling, land cover change & disturbance, ecohydrology. Has served leadership roles in hydrologic process model development, multivariate model evaluation, and parameter estimation and regionalization. Research interests focus on understanding disturbance impacts on downstream water systems, including the use of remote sensing.
  • Katelyn FitzGerald
    Assoc Scientist III
    katelynw@ucar.edu
    303-497-2779

    Project Role: Hydrologic Processes & Model Evaluation
    Focus Area(s): Snow hydrology, subsurface processes, model development and evaluation, coupled modeling
  • Andrew Gaydos
    Soft Eng/Prog III
    gaydos@ucar.edu
    303-497-2721

    Project Role: Web Mapping & Data Services
    Focus Area(s): Data access and visualization using web services and web-based tools. Custom development of server and client-side solutions for efficient access, transmission, and presentation of temporally and spatially based datasets. Andy’s primary focus is the development of the HydroInspector application used to visualize realtime and archived forecasts from the National Water Model.
  • Joe Grim
    Proj Scientist I
    grim@ucar.edu
    303-497-8397

    Project Role: Forcing & Bias Correction
  • Amir Mazrooei
    Assoc Scientist III
    mazrooei@ucar.edu

    Project Role: Hydrometeorological Modeling and Data Analysis
    Focus Area(s): Improvement of Hydrologic Forecasting, Machine Learning, Data Assimilation, Meteorological downscaling methods
  • Molly McAllister
    Assoc Scientist III
    mollymca@ucar.edu
    303-497-8253

    Project Role: Project Liaison, Training, & Community Engagement
    Focus Area(s): Communications, Outreach, User Experience (UX), Product creation & evaluation for diverse stakeholder needs
  • Alyssa McCluskey
    Proj Mgr I
    alyssamc@ucar.edu

    Project Role: Project Managment
    Focus Area(s): Progress reports, staff allocations, budgets
  • James McCreight
    Proj Scientist I
    jamesmcc@ucar.edu
    303-497-8404

    Project Role: Data Assimilation Lead
    Focus Area(s): Data assimilation, HydroDART
  • Arezoo RafieeiNasab
    Proj Scientist I
    arezoo@ucar.edu
    303-497-2888

    Project Role: Data Assimilation, Calibration
  • Laura Read
    Proj Scientist I
    lread@ucar.edu
    303-497-8391

    Project Role: Channel & Reservoir Routing, Water Management, Hyper resolution
    Focus Area(s): Water resource management, statistics, flood management
    Laura is an environmental engineer with expertise in flood frequency analysis, water management planning, and hydrologic modeling. Her recent work has been in developmental work for NOAA's National Water Model, specifically on the routing and lake/reservoir components.
  • Kevin Sampson
    Assoc Scientist III
    ksampson@ucar.edu
    303-497-8121

    Project Role: Geospatial Dataset Development Lead
  • David Yates
    Scientist III
    yates@ucar.edu
    303-497-8394

    Project Role: Channel & Reservoir Routing, Water Management
  • Yongxin Zhang
    Proj Scientist II
    zhangyx@ucar.edu
    303-497-2829

    Project Role: analysis of hydrometeorological processes, climate modeling and diagnostics
    Focus Area(s): Mesoscale Meteorology, Numerical Weather Prediction, Climate Diagnostics and Modeling.
    With WRF-Hydro, Yongxin is primarily focused on the generation of the forcing data, long-term retrospective hindcasts, analyses of extreme streamflow and connections with climate variability.