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BanerjeeA

Research Abstracts Online
January - December 2011

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University of Minnesota Twin Cities
College of Science and Engineering
Department of Computer Science and Engineering

PI: Arindam Banerjee

Analysis of Global Climate Data

Climate change is one of most challenging problems facing our planet. While physics-based climate models have been developed to capture various climate phenomena as well as make future projections, there are significant uncertainties due to the inherent complexity of the domain. The goal of this project is to develop large-scale data analysis techniques that will help explain extreme climate events as well as reduce uncertainties in future climate prediction. The focus will be on spatiotemporal probabilistic graphical models for abrupt change detection and climate model combination.

Group Members

Amrudin Agovic, Graduate Student
Soumyadeep Chatterjee, Graduate Student
Puja Das, Graduate Student
Qiang Fu, Graduate Student
Joseph McNair, Graduate Student
Hanhuai Shan, Graduate Student
Jaideep Srivastava, Faculty Collaborator
Karthik Subbian, Graduate Student
Huahua Wang, Graduate Student