SCIL Research and Teaching on AI Weather Forecasting

• April 8, 2026: SDSU Climate Informatics Lab (SCIL) held a workshop on AI Weather Forecasting Tutorial.

  Thank the workshop instructors: Iman Khadir, Shane Stevenson, Christian Byars, and Laura Hu for their wonderful teaching. Their GitHub links for the tutorials are as follows:
  
  • NVIDIA FCN global forecasts 1/4-deg 6-hour resolution for 10 days: Iman Khadir and Shane Stevenson, ikhadir8497@sdsu.edu, sstevenson7222@sdsu.edu
  • NVIDIA Earth2 platform for several global models, including Google DeepMind's GraphCast, with 1/4-deg 6-hour resolution for 10 days: Christian Byars , cbyars9785@sdsu.edu
  • NVIDIA CorrDiff regional forecasts for the contiguous United States with 3-km 3-hour resolution for a day: Laura Hu, xhu3914@sdsu.edu
  
  These AI model instructors have done tutorials to several organizations, including City University of New York, University of Southern California, and the University of the Incarnate Word. More tutorials are being scheduled for them and other SCIL researchers. If your class, at either graduate or undergraduate level, or your company wants to learn an AI weather forecassting model, please contact the instructors or the SCIL lab director Sam Shen. Fifty minutes are needed to master the usage of an AI weather forecasting model.