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EU Cloud Intercomparison, Process Study and Evaluation Project

EU Cloud Intercomparison, Process Study and Evaluation Project

Objective

Cloud feedbacks remain the largest source of uncertainty in projections of future climate. They are also a major contributor to uncertainty in other feedbacks (e.g., surface albedo, carbon cycle) in the Earth System. Through interactions with the large-scale circulation, cloud processes also contribute to synoptic circulations and regional climate. They are therefore critical to the prediction of future changes in precipitation patterns, climate variability and extreme events. The central objective of EUCLIPSE is to reduce the uncertainty in the representation of cloud processes and feedbacks in the new generation of Earth System Models (ESMs), in support of the IPCC's fifth assessment report. Novel, process-oriented evaluations of clouds in present-day and future climate simulations made by the leading European ESMs will identify the cloud types and processes responsible for the spread in climate sensitivity and future precipitation changes across the models, and for deficiencies in the simulation of the present-day climate. The new diagnostics and metrics developed in EUCLIPSE will inform targeted sensitivity experiments to isolate the processes responsible for cloud feedback uncertainty. In EUCLIPSE, four distinct communities will work together across a set of integrated work packages over a four-year period: the observational community will provide state-of-the-art measurements from ground- and space-based active and passive remote sensing; the numerical weather prediction community will provide analyses of short timescale model biases induced by cloud processes; the cloud modeling community will provide fine-scale models as an additional tool for understanding cloud behavior in a changing climate; finally, the climate modeling community will synthesize the physical understanding and observational constraints identified by the other communities to improve the representation and assessment of cloud processes in ESMs and so improve the predictive skill of ESMs.
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Coordinator

KONINKLIJK NEDERLANDS METEOROLOGISCH INSTITUUT-KNMI

Address

Utrechtseweg 297
3731 Ga De Bilt

Netherlands

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 702 000

Administrative Contact

Milene Kempenaars (Ms.)

Participants (11)

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MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV

Germany

EU Contribution

€ 425 000

MET OFFICE

United Kingdom

EU Contribution

€ 202 000

CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS

France

EU Contribution

€ 449 000

ACADEMY OF ATHENS

Greece

EU Contribution

€ 292 000

EUROPEAN CENTRE FOR MEDIUM-RANGE WEATHER FORECASTS

United Kingdom

EU Contribution

€ 272 000

TECHNISCHE UNIVERSITEIT DELFT

Netherlands

EU Contribution

€ 337 000

METEO-FRANCE

France

EU Contribution

€ 289 000

STOCKHOLMS UNIVERSITET

Sweden

EU Contribution

€ 124 000

EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH

Switzerland

EU Contribution

€ 81 000

UNIWERSYTET WARSZAWSKI

Poland

EU Contribution

€ 71 000

DEUTSCHES KLIMARECHENZENTRUM GMBH

Germany

EU Contribution

€ 256 000

Project information

Grant agreement ID: 244067

Status

Closed project

  • Start date

    1 February 2010

  • End date

    31 July 2014

Funded under:

FP7-ENVIRONMENT

  • Overall budget:

    € 4 985 600

  • EU contribution

    € 3 500 000

Coordinated by:

KONINKLIJK NEDERLANDS METEOROLOGISCH INSTITUUT-KNMI

Netherlands

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