Data Science Working Group
The US CLIVAR Working Group on Emerging Data Science Tools for Climate Variability and Predictability was formed in September 2019. The purpose of the Working Group is to help foster the understanding, adoption, and further development of modern data science tools for the analysis of large-to-massive climate data sets. It brings together experts in Earth science, statisticians, and computer scientists with the specific goal of fostering collaboration across these disciplinary boundaries to achieve US CLIVAR's scientific objectives.
The main objectives of the Working Group are:
- Identify best practices for interpretability and predictive capacity.
- Gather, prepare, and encourage use of benchmark training data sets.
- Provide timely perspectives on emerging data sciences tools.
|Amy Braverman (co-chair)
|California Institute of Technology/NASA JPL
|Bo Li (co-chair)
|University of Illinois
|University of Lausanne, Switzerland
|University of Cincinnati
|Portland State University
|University of California, Irvine
|University of California, Santa Cruz
|University of North Carolina
|New York University