讲座简介：

Precipitation is arguably the most important weather and climate variable. How precipitation may change under anthropogenic global warming is of great concern. In this lecture, I will first discuss the key precipitation characteristics, model biases in simulating these characteristics, thermodynamic and energetic constraints on global-mean precipitation, and the effect of internal variability on precipitation trends. I will then examine how precipitation has changed in recent decades, followed by model-projected changes in precipitation amount, frequency, and intensity. Finally, I will discuss the key mechanisms underlying the model-projected precipitation changes, especially on the causes of decreasing light-moderate precipitation under global warming.

主讲人简介：

Dr. Dai is a Distinguished Professor of the Department of Atmospheric & Environmental Sciences at the University at Albany, State University of New York, USA. Dr. Dai obtained his PhD in Atmospheric Science from Columbia University in 1996. From 1997-2012, he worked at NCAR. In 2012, he joined the faculty of the University at Albany. He is an internationally renowned climate scientist with a focus on climate variability and change, Arctic climate, the global water cycle, hydroclimate, drought, the diurnal cycle, and climate data analysis. With more than 200 peer-reviewed publications, he has received close to 70,000 citations with an H-index of 95. He is one of the world’s top 1% Highly Cited Researchers. He served as the Chair of the Climate Variability and Change Committee and Editor of the Journal of Climate of the American Meteorological Society (AMS), and he is an AGU and AMS Fellow.