Objective
To compare, improve and apply well established coupled Ocean-Atmospheric General Circulation Models (O-A-GCM) for modelling of anthropogenic climate change and natural climate variability.
In sub-project 1, numerical integrations will be carried out with coupled O-AGCMs over periods of several decades to more than a century to compute the time dependent evolution of climate for a number of prescribed scenarios describing the possible evolution of future concentrations of the principal greenhouse gases (CO2, methane, CFCs, ozone, N2O).
A major goal of sub-project 2 is the investigation of the predictability of climate in the time scale range of a month to a few years. This will be studied primarily by means of coupled O-A-GCMs experiments. The prediction experiments will be accompanied by extensive sensitivity experiments to clarify the nature of predictability and to attempt to extend the predictability limit. The investigations will concentrate on the ENSO phenomenon in the tropical belt, but will include also ocean-atmosphere interactions on a global scale.
In sub-project 3 sensitivity experiments are planned with A-GCMs to test the dependence of the model on different parameterizations of critical processes (radiation, clouds, land surfaces, etc.).
Sub-project 4 concerns model intercomparison and validation. A specific set of experiments will be designed with the sole purpose of identifying discrepancies and similarities between the many different atmospheric and ocean GCMs used in the project.
In sub-project 5 the nested high resolution limited area model HIRLAM developed by the Scandinavian and Dutch weather services for Europe will be made available and operated in conjunction with the global models used in other sub-projects. The HIRLAM model will be applied in all climate experiments requiring an enhanced higher resolution representation of the climate change in Europe.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences earth and related environmental sciences atmospheric sciences climatology climatic changes el niño
- natural sciences chemical sciences organic chemistry aliphatic compounds
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Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
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Funding Scheme
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Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
20146 HAMBURG
Germany
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Participants (16)
91128 PALAISEAU
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41100 Modena
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2100 KOEPENHAGEN
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22302 Lannion
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75008 PARIS
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RG2 9AX READING
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80539 MUENCHEN
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5059 BERGEN
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3730 AE DE BILT
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RG12 2SZ BRACKNELL
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LOUVAIN-LA-NEUVE
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75252 PARIS
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28801 ALCALA DE HENARES
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40127 BOLOGNA
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20146 HAMBURG
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RG6 6AH READING / SILCHESTER
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