Introduction to climate modelling
Summary of the activity
This training activity explains climate modelling: its purpose, its tools and its products. Specifically, it covers:
The climate modelling chain
Climate models
Input data (including emission scenarios) to produce climate simulations (output data)
Uncertainty in climate simulations
The post-processing of climate data
Examples of the applications for users
General objective
Gain a general understanding of climate modelling science and the data provided to users
What you’ll learn
Summarize the characteristics of climate models
Distinguish between the data needed for modelling and the data produced by the models
Explain the importance of uncertainty in modelling
Duration and format
In French only
About 2 hours
Lecture with question period
Real-time
Online
By registration only
Free
Limited places
Presenter
Dominique Paquin holds a Master’s in Atmospheric sciences from Université du Québec à Montréal (UQÀM). Since 1997, she has worked as a research assistant in the regional climate modeling group of the department of earth and atmospheric sciences at UQÀM.
With Ouranos since 2002, she is particularly interested in the modeling of intense precipitation, ice storms and the atmospheric humidity balance and in the communication of climate sciences within the Climate Science group. She holds the position of Climate Simulation and Analysis Coordinator.
