DeepDownscale: a Deep Learning Strategy for High-Resolution Weather Forecast

Understand

Running high-resolution physical models is computationally expensive and essential for many disciplines.

• Agriculture, transportation, and energy are sectors that depend on high-resolution weather models, which typically consume many hours of large High Performance Computing (HPC) systems to deliver timely results.
• Many users cannot afford to run the desired resolution and are forced to use low resolution output.
• One simple solution is to interpolate results for visualization.