Climate Data Science: A Tour - Professor Doug Nychka, National Center for Atmospheric Research

Explore climate data science in this comprehensive lecture by Professor Doug Nychka, Director of the Institute for Mathematics Applied to Geosciences at the US National Center for Atmospheric Research. Delve into the complexities of climate modeling, Earth observation, and data analysis techniques used to understand our rapidly changing planet. Learn about the advancements in climate and weather models, the growth of Earth observation satellites, and the challenges of processing vast amounts of environmental data. Discover how new tools in data sciences are being applied to address critical questions related to climate and the environment. Gain insights into topics such as climate dynamics, multi-resolution representation, ensemble modeling, detection and attribution of climate signals, and pattern scaling. Understand the data science challenges facing Earth System research and the importance of combining models and observational data to improve our understanding of climate processes.

Intro
Climate Data Science: A tour
Context Climate is what you expect
PART 1 continued Climate models
Earth Climate System
Climate as a dynamical system
How is this model computed?
Observations
North American Rainfall
Multi-resolution representation
Estimated field and prediction errors
Ensembles
Combining models and data
Detection and Attribution
Results for temperature trends
Inference on signals
Climate model output
Pattern scaling
Individual patterns
Does this work?
The model as data NCAR CESM
Graphical analysis test case
Summary Data Science challenges for the Earth System