Computational Tools in Climate Science: Part 7 - The Socioeconomics of Climate Change
NFDI4Earth
About This Course
Up to today, you have studied models of our climate system. Today, we will begin to model the (in many ways more complex!) system of society’s economy and how climate impacts them.
Level
Intro, Beginner, Intermediate
Requirements
Prerequisites include some introductory programming skills in Python, as well as core math and science concepts. We expect participants to be familiar with fundamental Python and data storage concepts (variables, lists, dictionaries, data formats) as well as some key Python libraries like NumPy, matplotlib, cartopy, datetime, pandas, and Xarray.
Subject Area
Geosciences
Learning Objectives
- Describe the motivation behind the Shared Socioeconomic Pathway (SSP) framework, and explain how the 5 pathways differ from one another in both climate and socioeconomic aspects using CMIP6 data and integrated assessment modeling results, respectively.
- Examine the strengths and weaknesses of SSP-focussed integrated assessment modeling practice and understand how these support and weaken the IPCC report’s conclusions, respectively.
- Examine the socioeconomic factors at the origin of anthropogenic warming and a Just Transition.
What You Will Learn
- Orienting inside a "Climate Solution" Simulator
- Fossil Fuel Emissions, Growth, and Damage
- The Temporal Dimension of Actions
- The Shared Socio-economic Pathways
- Mapping the Narrative Space
- Create your Socio-economic Scenario
Resources
This content is based on "Computational Tools for Climate Science" by Remon Sadikni. This work is licensed under a Creative Commons Attribution 4.0 International License, which also benefit from various CC BY licensed resources that are linked in the respective tutorials: