Objective
The objective of DUACS is to develop new applications of satellite altimetry in the field of climate monitoring and forecasting. DUACS is coordinated by the Space Oceanography Division of CLS (Collecte Localisation Satellites) and includes four major climate research groups in Europe: ECMWF, CERFACS, the UK Met. Office and the Max-Planck Institute fur Meteorologie. DUACS aims at: a) making climate specialists familiar with altimetry through a close collaboration with altimetry specialists;
b) demonstrating the usefulness of altimetry for various climatic applications, including seasonal forecasting.
High-level altimetric data sets will be prepared by CLS. They will be defined/ refined in close interaction with the climate specialists. The data sets will be a long time series (7 years) of Homogenous Historical (HH) altimetric data from TOPEX-POSEIDON, ERS-1 and ERS-2. Near Real Time (NRT) data acquisition, processing and distribution will also be performed during 2 years, using both TOPEX-POSEIDON and ERS-2 data.
The tasks of the 4 climate groups will be (a) to assess the altimeter data information content, (b) to adapt their data assimilation schemes to include altimeter data and (c) to use altimeter data for climate studies and seasonal forecasts. NRT data will be of special interest to actually perform seasonal forecasts. At the end of the project, the climate groups will provide a thorough assessment of the usefulness of altimeter data for climate studies/forecasts.
Other DUACS tasks include setting up a user support service, on-line data distribution to DUACS partners and distribution of HH products on CD-ROMs to the wider Earth Observation Community. DUACS will also contribute to the CEO Enabling Services and provide information on the project through WWW DUACS server.
Keywords: altimetry, clirnate, seasonal forecasting, real time data acquisition, data processing, data advertising, WWW server
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.
- engineering and technology mechanical engineering vehicle engineering aerospace engineering satellite technology
- natural sciences earth and related environmental sciences atmospheric sciences climatology
- natural sciences earth and related environmental sciences oceanography
- natural sciences computer and information sciences data science data processing
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Programme(s)
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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
31526 RAMONVILLE ST.AGNE
France
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.