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DECLIPP Challenge

Variability and climate change at decadal scales

Improving the understanding of decadal variability and climate change is of utmost importance for decision makers in various areas such as the management of water and energy, or public health. The  goal is to determine if climate change and the events that we observe are the result of natural variability or are irreversible result of anthropogenic climate change. This question underlies the determination of the uncertainties of climate change in the near future and research on decadal climate variability and its prediction.

OCCIPUT Project : Upper Ocean Temperature

OCCIPUT Project : Upper Ocean Temperature

The DECLIPP challenge aims to develop new methods to address the problem of decadal prediction based on the development and use of a coupled ocean-atmosphere model. This approach requires high spatial resolution models and the analysis of ocean observations to initialize the component ocean model. Another long-term goal of DECLIPP is to improve the understanding of the internal variability of the climate and its interaction with the climate system response to external forcings, whether natural or anthropogenic.

This challenge is based on several research areas such as the study of models biases in order to remove them, ensemble generation technics or  the development of downscaling techniques. It includes research on the impact of future decadal changes such as hydrological projections on France or the evolution of temperature extreme events.

Pages linked to this challenge


Happy New Year

nasri |  3 January 2022

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Video presentation of the NextSim EuroHPC project

CERFACS |  14 December 2021

The video presentation of the NextSim project has just been released : CERFACS is involved in the NextSim project (). The primary objective is to increase the capabilities of Computational Fluid Dynamics tools on extreme-scale parallel computing platforms for aeronautical design. This project has received funding from the European High-Performance Computing Joint Undertaking (JU) under grant agreement N° 956104. The JU receives support from the European Union’s Horizon 2020 research and innovation programme and Spain, France, Germany. This project has received funding from the Agence Nationale de la Recherche (ANR) under grant agreement N° ANR-20-EHPC-0002-02. For more information, please visit Read more