ENVIRONMENTAL RISKS
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PROJECT SUMMARY
Bayesian data fusion for the space-time forecasting of precipitations
Dominique FASBENDER, AXA Research Fellow
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Nationality Belgian
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Year of selection 2009
- Institution
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Country Canada
Support by the AXA Research Fund
| TYPE OF SUPPORT | GRANTED AMOUNT | DURATION |
|---|---|---|
| Post-Doctoral Fellowships | € 40,000 | 1 year |
Project Informations
BETTER THAN A FROG: RAIN FORECASTING
Should you take your umbrella with you today? Rain forecasting is not always accurate as you may have noticed... but researchers are working on it! During his postdoctoral research, Dr. Dominique Fasbender developed an innovative statistical approach aimed at predicting precipitation at a local scale. The challenge of rainfall prediction is that multiple parameters need to be accounted for, including atmospheric conditions but also topography. Dr. Fasbender's approach allows the integration of all these parameters. In the future, it could be useful at several levels. It might help improve early warning systems* in the case of extreme rainfall events. His work might also be used to study how climate change may increase the risk of local extreme events happening. It would then help provide recommendations to private and public authorities in charge of land-use planning.
To add or modify information on this page, please contact us at the following address:
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Tag Cloud
- 1. Mass action and contact network models for social mixing in infectious disease transmission modeling.
- 2. AXA Chair in Risk and Reliability Engineering
- 3. Leading by example : an evolutionary perspective on group-decision making
- 4. Political Environment: The Impact of Climate Change on Politics in South Asia
- 5. Chair for Cardiovascular Cellular Engineering
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