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Definition of the domain

Climate modeling is to replicate more or less simplified the coupled behavior of the atmosphere, oceans and land surfaces at various spatial scales (from region to globe scales) or time (from season to century scales or more) . A useful tool for understanding the complexity of climatic phenomena is to numerically simulate the evolution coupled various components of the Earth system, after translating the physical principles governing the form of mathematical equations. CERFACS brings many strengths to meet this challenge by continuously improving the quality of these couplings, on more and more powerful computers , and analyzing in depth the results of many simulations it performs.

Challenges, issues and context

The intrinsic climate variability, from monthly to decadal scales, overlaps the global warming resulting from human activities. Detection of climate change and their allocation to various causes is a scientific problem that requires combining Earth observation, modeling of coupled and complex physical phenomena and scientific computing.

Cerfacs actively contributes to the IPCC exercises (Intergovernmental Panel on Climate Change) which regularly publishes a detailed report on the present climate and its projection throughout the century. Advances in climate modeling, in particular through the intensification of Earth observation and increasing computer power, reduce uncertainties in climate projections.

OCCIPUT Project : Sea Surface Temperature

OCCIPUT Project : Sea Surface Temperature

Research axes at CERFACS

Research areas conducted in CERFACS through climate modeling are:

  • Climate variability on seasonal to decadal scales
  • Predictability and decadal forecasts
  • Anthropogenic disturbance and impacts

Tools developed or used


Climate Partners

Climate Partners



PhD positions available in two Marie Curie programs to begin at CERFACS in 2017 on combustion instabilities

superadmin |  18 May 2017

CERFACS has won two Marie Curie (ec.europa.eu/research/mariecurieactions) projects on instabilities in combustion systems: the first one MAGISTER will focus on machine learning methods for combustion instabilities and is coordinated by Un. Twente (Netherlands) while the second one (ANNULIGHT) will...Read more

My PhD in 180 seconds

ROGEL |  16 May 2017

Antoine Colmet-Daage, currently PhD student in the "Climate Modelling and Global Change team", participated to the regional final phase of the french competition "Ma thèse en 180 secondes", held in Montpellier on April 20th. You can find his performance on video (and in french), thanks to the...Read more