This two-day workshop offers practical, hands-on experience running WRF on Yale's Grace HPC Cluster. Whether you are new to WRF or looking to deepen your expertise, you will:
Compile and run the latest WRF version on Grace
Modify physical schemes and test scenarios in real-time
Transfer files between Grace and your local machine
Postprocess and visualize results using Python
Adapt WRF for your specific research questions
WRF provides a high-resolution modeling framework for research in climate science, environmental health, hydrology, agriculture, and disaster preparedness, including:
Simulating weather and climate at local to regional scales
Modeling air quality, wildfire smoke, and pollution transport
Assessing water resources and agricultural impacts under climate change
Supporting risk assessment for hurricanes, floods, and extreme heat
We look forward to seeing you there!
Using the latest version of WRF, the workshop will guide participants step by step through its programs in an interactive, group setting. While learning to compile WRF, we will also explore the capabilities of the Grace supercomputer and the range of available Fortran compilers. The workshop will conclude with a demonstration of model modification, highlighting how different physical schemes can change results.
All work will be carried out in a Linux environment. Participants will learn how to access the Grace cluster and transfer files between the cluster and the Earth Observation Lab (EOL) local machines. Postprocessing of model output will be done in Python on the local machines, while compiling and running will be handled on the Grace cluster.
