WRF-Hydro® Team
David Gochis
Project Role: Principal Investigator/Team Lead
Matthew Casali
Project Role: Geospatial Dataset Development
Aubrey Dugger
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.
Andrew Gaydos
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
Project Role: Forcing & Bias Correction
Amir Mazrooei
Project Role: Hydrometeorological Modeling and Data Analysis
Focus Area(s): Improvement of Hydrologic Forecasting, Machine Learning, Data Assimilation, Meteorological downscaling methods
Molly McAllister
Project Role: Project Liaison, Training, & Community Engagement
Focus Area(s): Communications, Outreach, User Experience (UX), Product creation & evaluation for diverse stakeholder needs
Alyssa McCluskey
Project Role: Project Management
Focus Area(s): Progress reports, staff allocations, budgets
Arezoo RafieeiNasab
Project Role: Data Assimilation, Calibration
Kevin Sampson
Project Role: Geospatial Dataset Development Lead
David Yates
Project Role: Channel & Reservoir Routing, Water Management
Yongxin Zhang
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.