courses

Boston University

Forthcoming.

Colorado State University

ATS 780-A8 — Weather-to-Climate Data Driven Forecasting (Fall 2024) Data-driven approaches (e.g. machine learning) for forecasting are proving to be incredibly powerful — transforming prediction science.

ATS 655 — Objective Analysis for the Atmospheric Sciences (Spring, annually 2014–2025) Overview of the methods used to interpret data sets in the atmospheric and oceanic sciences, including basic statistics, matrix methods, spectral filtering & time series analysis. Typed notes available.

ATS 780A7 — Machine Learning for the Atmospheric Sciences (Spring 2022, Fall 2023) Overview of machine learning methods used to interpret data sets in the atmospheric/Earth sciences, with emphasis on implementation and interpretation.

ATS 601 — Atmospheric Dynamics I (Fall 2016–2021) Basics of atmospheric dynamics and geophysical fluid dynamics on a rotating sphere. Typed notes.

ATS 780 — Atmosphere’s Response to Climate Change (Fall 2014).

Tutorials & resources

Machine Learning Tutorial — slides and code introducing applied machine learning methods to earth scientists. doi.org/10.5281/zenodo.6686879