Weather and Climate Models

The course starts on Thursday, 20. February 2025 at 14:15. The lectures and tutorials will be in-class only (no life streaming, old recodings partly available). Questions (lectures and tutorials) can be asked in class or using Piazza. An outline of the lecture can be found below under "Course schedule & slides".

The guiding principle of this lecture is that students can understand how weather and climate models are formulated from the governing physical principles and how they are used for weather prediction and climate projections.

During the tutorial you will learn how to setup and run the Weather Research and Forecasting (WRF) model on the EULER supercomputer at ETH. We will produce forecasts of hurricane external page Matthew, and study how sensitive the forecasts are to different model configurations. The output data will be analyzed with Python code on the JupyterHub service of EULER. At the end of the course, you are asked to submit a short report (2000 words). The report will be graded and contributes 20 % to your final course mark. If you do not hand in the report, your maximum course mark is a 5.

The tutorial will be led by Gabriel Vollenweider and supported by the other teaching assistants. The tutorial will take place from 16:15 to 18:00 in the room ML D 28 on the following dates:

The final mark will be based on both the tutorial report (20 %) and the written exam at the end of the course (80 %). Both elements are graded. Credits are provided if the average grade is greater or equal to 4. Further information is provided in the outline above. Here are some sample exam Download questions (PDF, 172 KB).

General Information

IPCC, AR6, WG1 report, 2021: external page Climate Change 2021: The Physical Science Basis. Recommended: Summary for Policy Makers, Technical Summary
IPCC, AR6, 2023: external page Synthesis Report. Recommended: Summary for Policy Makers
CH2018 Swiss Climate Change Scenarios, 2018: external page Brochure, Technical Report, data, etc.
Article about Lewis F. Richardson: Download NZZ Folio, by Reto U. Schneider (PDF, 143 KB) (March 2014, in German)

Introduction to Numerical Methods

Download WCM_numerics_lecture_notes.pdf: This document contains a repetition of finite difference methods that is more extensifely covered in the course "Numerische Methoden in der Umweltphysik". The file roughly covers the basics introduced in the course Weather and Climate Modeling in the master Atmospheric and Climate Sciences (but does not contain any explanations and derivations).