Data Science and Data System - Dr. Amy Braveman, NASA Jet Propulsion Laboratory

Explore data science and data systems in climate research with Dr. Amy Braveman from NASA's Jet Propulsion Laboratory in this 41-minute conference talk. Gain insights into advanced Earth observation techniques, including high-resolution climate modeling and satellite-based remote sensing. Learn about the challenges and opportunities in processing vast amounts of environmental data, and discover how new data science tools are being applied to address critical climate and environmental issues. Delve into topics such as new data types, time series analysis, climate models, and statistical problems in environmental data processing. Understand the importance of efficient data storage, processing, and sharing in large-scale Earth observation programs, and explore emerging research areas like multilayer networks in climate science.

Introduction
Background
New data types
Time series vs climate models
KMI Data Explorer
What is a data system
Data analysis and the data system
Data system example
Statistical problem
Cost
Rate distortion
Maximum cost
Lagrange multiplier
Pareto front
Research areas
Multilayer network