Objective
Close to three quarters of Europeans think that the EU should propose additional measures to address water problems in Europe. Increasing impacts of human-induced changes on our climate and our landscape threaten important freshwater-related ecosystem services and functions, while the pressure to water security for society increases. Uncertainty in environmental model predictions limits the value of model-based information for characterising and managing water resources both under current conditions and for scenarios of potential future changes. Robust hydrological predictions with minimum uncertainty are needed to support the development of water-management strategies that minimise socio-economic risks at local, regional and global scales.
The overall purpose of this project is to improve risk assessment in environmental decision making through robust quantification, reduction and communication of uncertainties in model predictions. A novel framework connecting local and regional information will be developed and evaluated for prediction of water-resources availability under current and changing conditions. The approach combines for the first time a suite of local environmental models (tailored to local conditions), regional understanding on catchment functioning (to constrain model behaviour) and local spot measurements (of key variables in key locations and time periods) in an integrated uncertainty framework.
Optimal merging of these information sources for different hydro-climatic and data-availability conditions will be evaluated for regions in the UK, Sweden and Italy, and applied to design cost-effective data-collection strategies at ungauged sites. Optimal strategies to communicate the uncertainty in the predictions to decision makers will be investigated in collaboration with experimental psychologists. Successful execution of this research would create a novel framework for environmental predictions applicable across the world.
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.
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
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.
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.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP7-PEOPLE-2012-IEF
See other projects for this call
Funding Scheme
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.
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
BS8 1QU BRISTOL
United Kingdom
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.