Research

The main technological objective of DAMOCLES is to develop a prototype for an Arctic Ocean Observing System (AOOS) including major innovations and breakthrough in High Technology instrumentation adapted to a remote and harsh environment such as the Arctic Ocean.



Topics:

Tomography buoys successfully recovered after one year in the Fram Strait

The DAMOCLES acoustic tomography moorings were successfully recovered on August 5. The objective of this first acoustic tomography experiment in the Fram Strait is to develop new ocean observing systems for the Arctic Ocean. (Aug 10, 2009)

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Another critical minimum of Arctic sea ice to be expected in 2009: new prognoses

Researchers from DAMOCLES and KlimaCampus of the University of Hamburg agree upon a continuing negative trend. Another critical level of Arctic sea ice extent is to be expected in the late summer of 2009. (Jun 14, 2009)

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Invitation to symposium: “The Arctic Climate system; its present status, future evolution and potential impacts”

The Damocles consortium and the DG Research of the European Commission invite all Arctic experts interested in participating to a Symposium in Brussels November 10-12 2009. (Jun 12, 2009)

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The 2010 State of the Arctic Conference

The State of the Arctic Conference will be held 16-19 March 2010 at the Hyatt Regency Miami in Miami, Florida. The main goal of the conference is to review our understanding of the arctic system in a time of rapid environmental change. (May 25, 2009)

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A large pool of freshwater building up in the Arctic

Recent observations of Arctic Ocean outflow in the Fram Strait suggest that freshwater is piling up in the Arctic Ocean. A change in wind direction could release the largest amount of freshwater through Fram Strait ever recorded. (Feb 19, 2009)

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From the press

International Polar Year 2007 - 2008

DAMOCLES is a european contribution to the International Polar Year 2007 - 2008.

FP6

DAMOCLES is financed by the European Union in the 6th Framework Programme.

Aug 27, 2010

Developing Arctic Modeling and Observing Capabilities for Long-term Environmental Studies