Climate change impacts on extremes at regional and local scales over the United States

Abstract:

With increasing global surface temperatures, the possibility of more natural hazards such as drought, wildfires, and flooding will likely occur. Moreover, the climate change is felt in different ways over different parts of the country, posting great challenges on the infrastructure sector for resiliency and mitigation plans. Assessing the risk of climate change impacts requires high spatial and temporal climate datasets. In this talk we will discuss sets of high-resolution climate dataset (including the present and future climate) we developed at Argonne and how they have been applied by other disciplines, including hydrology, biology, and infrastructure sector. Examples to be discussed include droughts, wildfires, coastal flooding, inland flooding, and wind gusts.

Bio:

Dr. Jiali Wang is an atmospheric scientist in Environmental Science Division at Argonne. Jiali received her Ph.D degree in atmospheric science in 2012, and has been working at Argonne since then. She also holds a fellowship member with NAISE at Northwestern University, as well as CASE at the University of Chicago. Dr. Wang specializes in physical understanding of climate and extreme climate variabilities and their impacts on water/energy, and many other fields (e.g., infrastructure, ecology) through high-resolution numerical modeling, data analysis, as well as machine learning/deep learning.