Objective
Floods are among the costliest of all natural hazards. The June 2013 flood in Central Europe, for example, incurred more than EUR 12 billion of economic losses, and flood risks are expected to increase significantly in the future. Reliable approaches for estimating flood probabilities in space and time are needed for optimising flood risk management. For almost a century, the standard method of flood estimation has been the purely statistical “flood frequency analysis”. The method does not account for the spatio-temporal behaviour of floods which, however, is essential for trans-regional flood planning as stipulated in the EU Flood Directive (2007/60/EC). Also, flooding is a physical process in space and time, so future flood risk assessment requires a better understanding of the physical basis behind the space-time characteristics of flood probabilities. These have been explored only by a few studies, e.g. by coupling weather models with runoff models, but only at small spatial scales and ignoring the space-time characteristics of the weather fields, hydrological processes and flood peaks. My project “Space-Time scAling of the Rainfall to FLOOD transformation” (STARFLOOD) responds to this research gap by investigating, for the first time, how the probabilities of rainfall transform into probabilities of floods from a space-time perspective, and how they can be simulated by space-time stochastic weather models at large spatial scales. STARFLOOD is highly innovative as it (i) explores the performance of the full cascade of rainfall to flood probabilities, (ii) explores the physical causes of flood probabilities and (iii) significantly improves the understanding of the scaling behaviour of hydrological processes. STARFLOOD will become a pioneering framework for the improved implementation of the EU Flood Directive and thus significantly advance future trans-regional flood risk management across 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.
- social sciences sociology governance crisis management flood risk management
- natural sciences earth and related environmental sciences physical geography natural disasters
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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.
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H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
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H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
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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.
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.
MSCA-IF-EF-ST - Standard EF
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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.
(opens in new window) H2020-MSCA-IF-2017
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
1040 Wien
Austria
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.