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| Titel |
Multi-model ensemble hydrometeorological modelling of the 4 November 2011 Genoa, Italy flash flood in the framework of the DRIHM project |
| VerfasserIn |
Olivier Caumont |
| Konferenz |
EGU General Assembly 2014
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 16 (2014) |
| Datensatznummer |
250095932
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| Publikation (Nr.) |
 EGU/EGU2014-11409.pdf |
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| Zusammenfassung |
| The FP7 DRIHM (Distributed Research Infrastructure for Hydro-Meteorology,
www.drihm.eu, 2011-2015) project intends to develop a prototype e-Science environment to
facilitate the collaboration between meteorologists, hydrologists, and Earth science experts
for accelerated scientific advances in Hydro-Meteorology Research (HMR).
In particular, the project includes the delivery of experiment suites designed to prove the
full extent of the DRIHM e-Science environment capability. These experiment suites address
the interdisciplinary and international challenges of HMR in forecasting severe
hydrometeorological events over regions with complex orography and assessing their
impact.
Here the emphasis will be put on two experiment suites that have been set up and tested
for the flash-flood event that occurred in Genoa, Italy on 4 November 2011. The first
experiment suite focuses on rainfall forecasting and combines different numerical
weather prediction models to form a high-resolution multi-model ensemble together
with a stochastic downscaling algorithm. The second experiment focuses on river
discharge prediction and combines different hydrological models as well as different
rainfall sources (either from the first experiment suite or from observations) to form a
multi-model ensemble. The composition of the first experiment suite with the second
experiment suite represents a complete multi-model ensemble hydrometeorological
forecasting chain at the cutting edge of HMR. This presentation will demonstrate how
progress beyond the state of the art has been achieved through the development
and/or integration of tools that enable to easily discover, compare, combine, and
visualize the different components of the hydrometeorological forecasting chain. |
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