July 31 - Application Deadline for October 2018 Training Workshop: The Community WRF-Hydro Modeling System

Training Workshop: The Community WRF-Hydro Modeling System

October 23 - 26, 2018

NCAR in Boulder, CO

Lead Instructor: Dave Gochis, NCAR

Applicants must apply to attend. Deadline to apply is 5:00 p.m. EDT on July 31, 2018 via the following Google Form.

For more information, visit the event website.

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.

Specific topics to be covered during the workshop include:

  • 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
  • Overview of the open source Rwrfhydro hydrologic model evaluation package  with example vignettes
  • Overview of model calibration
  • Overview of data assimilation
  • Open discussion on class participant interests and applications

Class participants will receive in-depth training via lectures and hands-on activities on the implementation and use of the WRF-Hydro Modeling System where all hands-on tutorial activities will be conducted in a formal computer laboratory located at NCAR in Boulder, CO.

Graduate students, post-docs, and professionals working in hydrology and/or the atmospheric sciences are invited to apply.

  • 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.