Topic: Advancing Precipitation Prediction using a Composite of Models and Data
Speaker: Dr. PAN Baoxiang
Brief introduction to the report:
Advances in numerical weather forecasts have brought forward significant societal benefits and raised expectations for higher resolution, more accurate, and longer predictions.
Despite the consistent progresses achieved, precipitation prediction remains a less satisfyingly tackled task, with skills falling far behind those of other atmospheric variables, such as pressure, temperature, moisture, and wind speed. This dissertation serves as an inspection of prediction capacity and an exploration of predictability for the precipitation process, with a particular focus on the West Coast of the United States.
Time: 10:00am January 7, 2020
Venue: Room A901, IGSNRR
Welcome to the Forum!Hosted by Key Laboratory of Water Cycle & Related Land Surface Processes, CAS