The WRF-Hydro Modeling System produces forecasts and analyses for all major terrestrial water-cycle components: Precipitation, Streamflow, Soil moisture, Snowpack, Flooding, Groundwater. These forecasts and analyses can be applied to a range of pursuits, such as flash-flood prediction, regional hydroclimate impact assessments, seasonal forecasting of water resources, and land-atmosphere coupling studies that supply forecasters, water managers, and government officials with data-driven science to better inform their decisions.
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 model calibration
See the event Website for details. Fill out this application form. 20 spots are available. Applications will be accepted beginning the week of September 15 until 5pm ET, Wednesday, 30 September 2020.
Applications will be accepted from current and incoming graduate students, post-docs, academics, and professionals working in hydrology and/or the atmospheric sciences.
Prior hydrologic and/or atmospheric modeling experience is required.
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.
Reliable internet connection and speed
A computer with at least 2 CPUs, however much of the computing will be done on the cloud.
Instructors:
David Gochis
Aubrey Dugger
Kevin Sampson
Laura Read
Katelyn FitzGerald
Arezoo RafieeNasab
Matt Casali
Yongxin Zhang