Introduction to the Community WRF-Hydro Modeling System: Interactive Hands-on Tutorial

This in-person short course will introduce the capabilities within WRF-Hydro® and provide participants with basic building blocks to conduct related research.

Sunday, January 23, 2022 (Time Not Announced)

Duration: Full Day
Participant Cap: Not Announced

Course Description:

WRF-Hydro®, an open-source community model, is used for a range of projects, including flash flood prediction, regional hydroclimate impacts assessment, seasonal forecasting of water resources, and land-atmosphere coupling studies. It was designed to link multi-scale process models of the atmosphere and terrestrial hydrology to provide:

  • An extensible multi-scale & multi-physics land-atmosphere modeling capability for conservative, coupled and uncoupled assimilation & prediction of major water cycle components such as precipitation, soil moisture, snow pack, ground water, streamflow, and inundation
  • Accurate and reliable streamflow prediction across scales (from 0-order headwater catchments to continental river basins and from minutes to seasons)
  • A research modeling testbed for evaluating and improving physical process and coupling representations

In this one day tutorial we will provide an introduction to the capabilities within WRF-Hydro and provide participants with the basic building blocks to start their research with it. Example studies of events and model simulations will be presented as a demonstration of WRF-Hydro’s capabilities. Participants will gain experience with hands-on model configuration and execution and run experimental model simulations and comparisons with a prepared example test case. Participants will also be provided with information on additional resources that can be used to further their familiarity with WRF-Hydro and build on the basics learned during this tutorial.

Each participant must bring a laptop capable of wireless internet with a web browser (Google Chrome recommended).

Instructors:

headshot of David Gochis
David Gochis

National Center for Atmospheric Research (NCAR)
gochis@ucar.edu

headshot of Arezoo RafieeNasab
Arezoo RafieeNasab

National Center for Atmospheric Research (NCAR)
arezoo@ucar.edu

headshot of Molly McAllister
Molly McAllister

National Center for Atmospheric Research (NCAR)
mollymca@ucar.edu

 
For more information, please contact Molly McAllister at mollymca@ucar.edu.