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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

NEWS

Continuity of activity of the Cerfacs during the Covid-19 pandemic

superadmin |  20 March 2020

On Monday 16 March 2020, in the context of the rapidly evolving COVID-19 epidemic, Cerfacs decided to reorganize its activities by implementing a Business Continuity Plan (BCP) and deploying teleworking facilities for all its employees. All staff members thus continue to carry out their full mission.Read more


A fiery wakeup call for climate science

superadmin |  26 February 2020

The extent of the recent wildfires in Australia significantly exceeded the projections of any member of the multi-model CMIP archive.  This highlights how current multi-model ensembles may be under-representing the risks of natural disasters under climate change.  Limited coupled system process representation in most models coupled with a lack of parameter uncertainty exploration means that some risks are not explored by the existing international multi-model framework.  This calls for a reassessment of how to focus climate model development on providing robust risk quantification for those impacts which most directly affect society. Sanderson, B.M., Fisher, R.A. A fiery wake-up call for climate science. Nat. Clim. Chang. (2020) nature.com Media coverage BBC Sydney Morning Herald The Guardian Wired The Daily Express YahooRead more

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