August 15: Early Bird Registration Deadline for Advanced Short Course: Integrated Simulation of Watershed Systems Using ParFlow
Short Course: Integrated Simulation of Watershed Systems Using ParFlow
October 3 - 4, 2019
University of Arizona in Tucson, AZ
- August 15 (Early Bird)
- August 31 (Regular)
- CUAHSI Member - Student: $400 Early | $500 Regular
- Non-CUAHSI Member - Student: $450 Early | $550 Regular
- CUAHSI Member - Professional: $500 Early | $600 Regular
- Non-CUAHSI Member - Professional: $550 Early | $650 Regular
The objective of this course is for students to develop and run a complete watershed model in ParFlow starting from scratch. This includes selecting boundaries for a domain, terrain processing, grid definition, slope testing and spinup, running with EvapTrans files, obtaining meteorological forcing data, and the nuts and bolts of running on shared clusters. The course will also cover the basics of benchmarking and performance scaling, which are often required when applying for time on supercomputers. An overview of the ParFlow source code tree, how to modify the code, and how to contribute to the model’s development will also be provided. At the end of the course, students will be able to take the same workflows used in the class and apply them to create simulations of their own domains of interest.
Eligibility and Requirements
Graduate students, post-docs, and professionals working in hydrology are invited to participate.
This course will not cover the installation of ParFlow. Students MUST have ParFlow installed on their own laptop computer and be able to run locally; no installation support will be provided during the Advanced course.
Users will also need some additional free software programs installed before the course. A list of programs will be provided in advance of the course.
Students will be required to run a specific test case and generate a specific output plot prior to the course to demonstrate their basic proficiency with the code, but do not need extensive experience with ParFlow.