Global Warming Science: A quantitative introduction to the science of climate change and its consequences, meant to assist students to process issues that often appear in the news and public debates. Topics include: the greenhouse effect and consequences of the rise of greenhouse gasses, including sea level rise, ocean acidification, heat waves, droughts, glacier melting, forest fires, expected changes to hurricanes and more. The scientific basis for each subject will be covered, and every class will involve a hands-on analysis of observations, climate models, and climate feedbacks, using python Jupyter notebooks. Throughout, an ability to critically evaluate observations, predictions and risk will be developed.
Slides and code for the workshops for each module (and video lectures for most) are provided at the links below. Many thanks to Alex Griswold for preparing the videos and to Dan Schrag and the Harvard University Center for the Environment for their support in making these videos.
A pdf copy of all class workshops is available here. For instructors: A solutions manual for the course workshops may be requested from the publisher
Motivation, introduction to python Jupyter notebooks.
Precipitation, evaporation and soil moisture, forcing of drought events by remote SST, El Niño, past droughts from tree rings, future projections case studies: Sahel & South-West US, understanding global-scale precipitation projections, extreme precipitation events.