Zooming in climate models
Researchers from the University of Chicago and Argonne are using the supercomputing resources at the Argonne Leadership Computing Facility (ALCF) to investigate the effectiveness of dynamically downscaled climate models.
The goal of this work is to address a long-standing question in the scientific community regarding the value of downscaling.
Through our research, we hope to validate a tool that can be used to get climate models to the scales needed for local and regional projections.
V. Rao Kotamarthi (EVS), Climate and Atmospheric Scientist
With a method called dynamical downscaling, researchers can use outputs from coarse-resolution global models to drive higher-resolution regional climate models. The enhanced resolution allows regional models to better account for topographic details, while also improving the ability to simulate surface variables such as air temperature, precipitation, and wind.