Training Workshop: The Community WRF-Hydro Modeling System

Location: Boulder, CO

David Gochis / NCAR

Training Workshop: The Community WRF-Hydro Modeling System

October 15 - 18, 2019

NCAR in Boulder, CO

Application Deadline:

Deadline has passed.


  • CUAHSI Member - Student: $350
  • Non-CUAHSI Member - Student: $400
  • CUAHSI Member - Professional: $450
  • Non-CUAHSI Member - Professional: $500


This training workshop will provide graduate students and early career scientists with formal instruction on the structure and application of the WRF-Hydro system and will offer hands-on experience in setting up and running the system for several different research and prediction applications. Preference will be given to applicants in the Academic and Nonprofit sectors.

Topics to be covered during the workshop include but are not limited to:

  • Conceptualization and structure of the WRF-Hydro system
  • Description of physics components and options within WRF-Hydro
  • Model porting and compilation, and an overview of parallel computing with WRF-Hydro
  • Hands-on model input data preparation and creation of an example test case
  • Hands-on model configuration and execution
  • Hands-on experimental model simulations and comparisons with a prepared example test case
  • Hands-on example WRF | WRF-Hydro model coupled simulation
  • Overview of the open source Rwrfhydro hydrologic model evaluation package  with example vignettes
  • Overview of model calibration
  • Open discussion on class participant interests and applications

Eligibility and Requirements

Applicants must apply to attend the workshop. Applications will be accepted from current and incoming graduate students, post-docs, academics, and professionals working in hydrology and/or the atmospheric sciences. Instructors will review applications to verify in advance that the applicant has the necessary skills and experience to successfully participate in the workshop and get the most out of the course topics.

  • Prior hydrologic and/or atmospheric modeling experience is advised.
  • Must be comfortable working in a UNIX environment, running UNIX command line operations and text editors.
  • Familiarity with the R and/or Python programming language is recommended.

For more information, click here.