WS34:
Emerging Data Science and Machine Learning Opportunities in the Weather and Climate Sciences


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Session ID#: 54829

Session Description:
The disciplines of atmospheric science and data science are at a crossroads and about to experience scientific breakthroughs that are comparable to the revolution in bioinformatics over the last decade. Increasing volume and variety of weather and climate data has been driving the analysis towards scalable data-driven methods to complement and in some instances to replace traditional approaches. This multidisciplinary workshop brings together weather and climate researchers, data scientists, statisticians, engineers, tech companies, program managers, educators, students, and other stakeholders to discuss newly emerging data science and machine learning opportunities for the atmospheric sciences. In particular, high-impact weather and climate events will serve as the science driver to motivate the novel field of physics-aware, theory-guided data science.
Submitter:  Christiane Jablonowski, University of Michigan, Department of Climate and Space Sciences and Engineering, Ann Arbor, United States
Presenters:  Sudhir R Shrestha, NOAA NESDIS Center for Satellite Applications and Research, Satellite Meteorology & Climatology Division (SMCD), College Park, United States, Vipin Kumar, University of Minnesota Twin Cities, Department of Computer Science/Engineering, Minneapolis, United States, Orhun Aydin, ESRI, Redlands, CA, United States, Amy McGovern, University of Oklahoma, Computer Science; School of Meteorology, Norman, United States, Imme Ebert-Uphoff, Colorado State University, Cooperative Institute for Research in the Atmosphere, Fort Collins, CO, United States, Daniel S Cooley, Colorado State University, Fort Collins, CO, United States, Kevin A Reed, Stony Brook University, School of Marine and Atmospheric Sciences, Stony Brook, United States, Dawn J Wright, Environmental Systems Research Institute, Redlands, CA, United States, Stephan Rasp, Ludwig Maximilians University of Munich, Munich, Germany, Ryan Lagerquist, University of Oklahoma, Norman, United States, Anuj Karpatne, Virginia Polytechnic Institute and State University, Department of Computer Science, Blacksburg, VA, United States, Karthik Kashinath, NVIDIA Corporation, Santa Clara, CA, United States, Richard Loft, National Center for Atmospheric Research, Boulder, CO, United States, John Williams, The Weather Company, an IBM Business, Andover, MA, United States and Joshua Hacker, Jupiter, Boulder, CO, United States
Onsite Contact:  Christiane Jablonowski, University of Michigan, Department of Climate and Space Sciences and Engineering, Ann Arbor, United States

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