Novel Methods for Data-Driven Analysis in the Climate Sciences

Session ID#: 27519

Session Description:
Recent advances in data collection and analysis have provided new opportunities for data-driven insights in the climate sciences. Data-based analysis techniques are both developed within the discipline and adapted from other fields such as computer science, information science, and mathematics. These methods are diversifying the ways in which climate dynamics, variability, and change are conceptualized, as well as the kinds of analyses that are available. Novel data-based techniques offer new approaches to uncertainty and error quantification, pattern recognition, and high-dimensional data analysis. They contribute to paradigms such as complex and nonlinear systemics, inductive and adaptive analyses, and continuum-based perspectives. Data-based tools are extremely powerful, but still underutilized in the climate sciences. The aim of this session is to bring together practitioners and pioneers of data-based methods to increase awareness and applications of these novel techniques within the discipline. Resulting insights stand to advance the field of climate science.
Primary Convener:  Mollie Van Gordon, University of California Berkeley, Berkeley, CA, United States
Conveners:  Zhaohua Wu, Florida State University, Tallahassee, FL, United States, Christian Franzke, University of Hamburg, Hamburg, Germany and Nathaniel C Johnson, Princeton University, Princeton, NJ, United States

  • GC - Global Environmental Change
  • H - Hydrology
  • IN - Earth and Space Science Informatics
  • NG - Nonlinear Geophysics
Index Terms:

Abstracts Submitted to this Session:

Ananjay Kumar Singh and Durga Toshniwal, Indian Institute of Technology Roorkee, Computer Science and Engineering, Roorkee, India
X. San Liang, Nanjing Institute of Meteorology, Nanjing, China
Glenn Grant and David W Gallaher, National Snow and Ice Data Center, Boulder, CO, United States
Zhaohua Wu, Florida State University, Tallahassee, FL, United States
Charles Parsons Jackson, New Mexico State University Main Campus, Las Cruces, NM, United States
Mahmoud Zemzami, Middle Tennessee State University, Murfreesboro, TN, United States, Racha Elkadiri, Middle Tennessee State University, Geosciences, Murfreesboro, TN, United States and Josh Phillips, Middle Tennessee State University, Computer Science, Murfreesboro, TN, United States