Temple University 3 credits EES
There is no scientific doubt that human activity has been influencing the climate system since the industrial era due to emissions of greenhouse gases and causing a rise in global mean temperature (i.e., global warming). While Earth's climate and temperature has fluctuated naturally in the past, the rate of current warming in response to human activity is unprecedented and is having a large impact on the climate system and living organisms on our planet. We are experiencing the effects of climate change today in the form of melting of sea ice, glaciers, and ice sheets, sea level rise, increases in the intensity of heat waves, change in frequency and intensity of droughts, extreme rainfall events, and wildfires. The results of climate model simulations suggest that the effects of climate change will worsen throughout the 21st century and beyond if we continue to emit greenhouse gases. In this course we will gain a foundational understanding of anthropogenic climate change and explore the evidence directly through hands-on analysis and visualization of real-world observational datasets. After investigating observational evidence, we will build an understanding of climate models, the experiments performed including climate projections, and how to access, analyze, and visualize publicly available model output. Along the way, students will gain experience in the tools that scientists use to analyze and visualize observational datasets and climate model output. While no prior computational knowledge is assumed, students will be introduced to aspects of the Python programming language, the command line interface, and GitHub. Course content and assignments will be centered around the use of Jupyter Notebooks. This course will be hands-on and assignment and project oriented, with in-class periods geared toward learning to analyze and visualize climate datasets.
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