CLIMATE MODELLING AND MONITORING

The lecture provides insights on Climate Dynamics and Modelling and Environmental Monitoring.
The class is formed by 3 modules.
Assignments are expected to be due during the lectures.

Module 1: Climate dynamics (6h + 2h exercises)
Module 2: Climate modelling (6 h + 2 h exercises)
Module 3: Climate monitoring (4 h + 2,5 h exercises)

The students should understand how does the climate system works and know the set of equations needed for its description. They should be able to discretise differential equations with different numerical methods. They need to know fundamentals of climate modelling and main international projects aiming at large-scale environmental monitoring.

Basic knowledge of geophysical fluid dynamics, climatology, numerical methods.

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Module 1: Climate dynamics (6h + 2h exercises)
Module 2: Climate modelling (6 h + 2 h exercises)
Module 3: Climate monitoring (4 h + 2,5 h exercises)

————————————————————— Module 1

Climate dynamics: energy budget, general circulation of atmosphere and ocean.

Hydrological cycle. IPCC projections

Motion’s equations, approximations, some examples.

————————————————————— Module 2

Climate modelling principles: from physical problem to numerical solutions. Grids, resolution, spatial and temporal discretization and methods,

Climate Modelling: Earth System Models, CMIP – PMIP, ensemble, uncertainties, scenarios and climate model experiments, Regional climate models (CORDEX), Next Generation Earth System Models (ICON and storm resolving models).

————————————————————— Module 3

Climate simulations, reanalyses, observations.
Remote Sensing (satellites, lidars and radars)
In situ measurements (stations, buoys, atmospheric sounding)
Copernicus Climate Service, ARGO and other projects for global monitoring.

————————————————————— Data Analysis
Every Thursday

How to access and download reanalysis data and climate model simulations.
How to manage NetCDF files.
How to do some simple computations (averages, ensemble mean and spread, anomalies ... ).
How to plot data.

Software: Matlab, CDO, NCL.

Textbook: Goosse H., P.Y. Barriat, W. Lefebvre, M.F. Loutre and V. Zunz, (2008-2010). Introduction to climate dynamics and climate modeling.

http://www.climate.be/textbook/contents.html
http://climate.envsci.rutgers.edu/climdyn2019/Goosse.pdf

Slides and additional material will be provided.

Progresses will be assessed through assignments and exercises. A mid-class checkpoint (test) will be planned. A final oral exam is concluding the class.

Face-to-face lectures, discussions with students, application and exercises.

English

oral