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Using OpenMI and a Model MAP to integrate WaterML2 and NetCDF data sources into flood modeling of Genoa, Italy

Articolo
Data di Pubblicazione:
2016
Abstract:
Extreme hydrometeorological events such as flash floods have caused considerable loss of life and damage to infrastructure over recent years. Flood events in the Mediterranean region between 1990 and 2006 caused over 4,500 fatalities and cost over EUR29 billion in damage, with Italy one of the worst affected countries. The Distributed Computing Infrastructure for Hydro-Meteorology (DRIHM) project is a European initiative aiming at providing an open, fully integrated eScience environment for predicting, managing, and mitigating the risks related to such extreme weather phenomena. Incorporating both modeled and observational data sources, it enables seamless access to a set of computing resources with the objective of providing a collection of services for performing experiments with numerical models in meteorology, hydrology, and hydraulics. The purpose of this article is to demonstrate how this flexible modeling architecture has been constructed using a set of standards including the NetCDF and WaterML2 file formats, in-memory coupling with OpenMI, controlled vocabularies such as CF Standard Names, ISO19139 metadata, and a Model MAP (Metadata, Adaptors, Portability) gateway concept for preparing numerical models for standardized use. Hydraulic results, including the impact to buildings and hazards to people, are given for the use cases of the severe and fatal flash floods, which occurred in Genoa, Italy in November 2011 and October 2014.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
computational methods; data management; flooding; OpenMI; WaterML2
Elenco autori:
Galizia, Antonella
Autori di Ateneo:
GALIZIA ANTONELLA
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/321205
Pubblicato in:
JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION
Journal
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URL

http://onlinelibrary.wiley.com/doi/10.1111/1752-1688.12418/abstract;jsessionid=325E20AAFF2FDBC83FCF15F1919CEEA0.f03t02
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