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EUropean Climate Prediction system (EUCP)

An innovative European regional ensemble climate prediction system

The climate is clearly changing and society is confronted with extreme weather phenomena and climate- related hazards that it is often ill-prepared for, despite efforts to anticipate and mitigate against adverse effects. The overarching objective of the European Climate Prediction (EUCP) system is to develop an innovative European regional ensemble climate prediction system based on a new generation of improved and typically higher-resolution climate models, covering timescales from seasons to decades initialised with observations, and designed to support practical and strategic climate adaptation and mitigation decision-taking on local, national and global scales.

EUCP will link current observed climate conditions, near future predictions and more distant future projections out to 40 years ahead. Such a climate prediction system and framework are currently lacking. It will provide an authoritative framework to assess the impacts and risks of variations in climatic conditions across, but not limited to, Europe from regional to local scale suitable for use in a range of sectoral applications as a solid basis for investment decisions, spatial planning, and policy and adaptation options.

EUCP will produce credible probabilistic statements on near future (less than 10 years) high impact extreme events that bear their origin in the current state of the system and its expected evolution. This is needed for risk based planning and decision making. It will also provide robust information of the envelope of the potential occurrence of these events further into the future (to 40 years), tailored to enhance the resilience of vulnerable sectors in our society. It will therefore satisfy users of probability distributions and those requiring plausible realisations of future climate. It will provide clear guidance on how these can be exploited together. This will add significant extra value to raw climate observations and model simulations.

Past observations, and future predictions and projections will be integrated components in a seamless climate prediction system. The system will harvest from the wealth of existing and planned predictions and projections at the global and regional scale, and create tools to combine the information derived from these components into impact-relevant analyses. It will address the many barriers to providing seamless forecasts, such as the strong initialisation shocks, the need for corrections to match observed variability and increase forecast reliability in the nearer term, and the use of constraints to bound uncertainty in the longer term.

The system and methodologies to be developed will be sustainable. As newer experiments with climate models become available they can be included in the EUCP framework to incorporate their benefits for decision making. The evolving experience with tailoring climate information to better serve user needs will be continuously integrated into the EUCP system. This represents a step change in how we make use of, for instance, future Intergovernmental Panel on Climate Change (IPCC) assessments.

Project website:

Funded by the European Union under Horizon 2020.Grant Agreement 776613

Participating organisations

Met Office
Netherlands eScience Center
Environment & Sustainability
Environment & Sustainability
Barcelona Supercomputing Center
Danish Meteorological Institute
ETH Zurich
Helmholtz-Zentrum Hereon
United Nations Educational, Scientific and Cultural Organization
International Institute for Applied Systems Analysis
Koninklijk Nederlands Meteorologisch Instituut
Swedish Meteorological and Hydrological Institute
University of Edinburgh
University of Oxford
University of Copenhagen


  • 1.
    Data Management Plan
    Author(s): Kalverla, Peter, Berend Weel, Jisk Attema, Evert Rol, Paula Newton, Jason Lowe
  • 2.
    Data access, analytics, and provenance infrastructure for scientists
    Author(s): Peter Kalverla, Stef Smeets, Niels Drost
  • 3.
    Training about EUCP data services infrastructure and use
    Author(s): Peter Kalverla, Jaro Camphuijsen, Fakhereh Alidoost, Evert Rol, Niels Drost


Peter Kalverla
eScience Research Engineer
Netherlands eScience Center
Niels Drost
Niels Drost
Programme Manager
Netherlands eScience Center
Evert Rol
eScience Research Engineer
Netherlands eScience Center
Chris Hewitt

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