Computational Tools in Climate Science: Part 5 - Introduction to Climate Modelling
NFDI4Earth
About This Course
Welcome to the "Introduction to Climate Modelling" course. This is the fifth part of the "Computational Tools for Climate Science" course series! Today you will be introduced to climate models, which are one of the primary tools of climate science. There are numerous types of climate models, each with their distinct complexity, utility, and limitations. In today’s tutorials, you will engage with a hierarchy of climate models with differing levels of complexity. You will begin by creating a simple climate model to predict Earth’s global mean surface temperature based on incoming and outgoing radiation. In later tutorials, you will extend this model to include more complexity through the addition of physics (albedo; [de]glaciation; convection) and dimensions (vertical structure of the atmosphere; latitudinal insolation variations). At the end of the day you will access, preprocess, and plot sea surface temperature in a highly complex climate model, TaiESM1, which is an Earth System Model (ESM) from the most recent Coupled Model Intercomparison Project, CMIP6.
Note that three tutorials contain solely Bonus content, that serves experienced participants and for later investigation of 0- and 1-dimensional models after the course.
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
- Understand, code, and analyze radiation models of varying physical and mathematical complexity.
- Explore how changes in Earth's atmosphere and surface properties affect Earth’s energy balance and surface temperature.
- Access CMIP6 Earth system model data from cloud catalogs, and manipulate it by regridding and calculating global average properties.
What You Will Learn
- Introduction to Climate Modelling
- Radiation and the Greenhouse Effect
- Energy Balance
- A Zero-Dimensional Energy Balance Model
- Climate Feedbacks
- Vertical Structure of the Atmosphere
- Radiative-Convective Equilibrium
- Introduction to CMIP6 Earth System Models
- Time Series, Global Averages, and Scenario Comparison
Resources
Computational Climate Science syllabus by Climatematch
Computational Computational Tools in Climate Science by Climatematch
Computational Tools for Climate Science Course by neuromatch