http://www.cnr.it/ontology/cnr/individuo/prodotto/ID45012

Using lightning data to better understand and predict flash floods in the Mediterranean (Articolo in rivista)

Type

Articolo in rivista (Classe)
Prodotto della ricerca (Classe)

Label

Using lightning data to better understand and predict flash floods in the Mediterranean (Articolo in rivista) (literal)

Anno

2011-01-01T00:00:00+01:00 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi

10.1007/s10712-011-9146-y (literal)

Alternative label

Price, C., Y. Yair, A. Mugnai, K. Lagouvardos, M. C. Llasat, S. Michaelides, U. Dayan, S. Dietrich, F. Di Paola, E. Galanti, L. Garrote, N. Harats, D. Katsanos, M. Kohn, V. Kotroni, M. Llasat-Botija, B. Lynn, L. Mediero, E. Morin , K. Nicolaides, S. R (2011)
Using lightning data to better understand and predict flash floods in the Mediterranean
in Surveys in geophysics; Springer, Dordrecht (Paesi Bassi)
(literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

Price, C., Y. Yair, A. Mugnai, K. Lagouvardos, M. C. Llasat, S. Michaelides, U. Dayan, S. Dietrich, F. Di Paola, E. Galanti, L. Garrote, N. Harats, D. Katsanos, M. Kohn, V. Kotroni, M. Llasat-Botija, B. Lynn, L. Mediero, E. Morin , K. Nicolaides, S. R (literal)

Pagina inizio

733 (literal)

Pagina fine

751 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url

http://link.springer.com/article/10.1007%2Fs10712-011-9146-y#page-1 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume

32 (literal)

Rivista

Surveys in geophysics (Rivista)

Note

ISI Web of Science (WOS) (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

C. Price, E. Galanti, M. Kohn, S. Rozalis Tel Aviv University, Tel Aviv, Israel Y. Yair, B. Lynn, B. Ziv The Open University of Israel, Ra'anana, Israel A. Mugnai, S. Dietrich, F. Di Paola National Research Council, ISAC, Rome, Italy K. Lagouvardos, D. Katsanos, V. Kotroni National Observatory of Athens, Athens, Greece M. C. Llasat, M. Llasat-Botija University of Barcelona, Barcelona, Spain S. Michaelides, K. Nicolaides, K. Savvidou Cyprus Meteorological Service, Nicosia, Cyprus U. Dayan, N. Harats, B. Lynn, E. Morin Hebrew University of Jerusalem, Jerusalem, Israel L. Garrote, L. Mediero Technical University of Madrid, Madrid, Spain (literal)

Titolo

Using lightning data to better understand and predict flash floods in the Mediterranean (literal)

Abstract

One of the costliest natural hazards around the globe is flash floods, resulting from localized intense convective precipitation over short periods of time. Since intense convective rainfall (especially over the continents) is well correlated with lightning activity in these storms, a European Union FP6 FLASH project was realized from 2006 to 2010, focusing on using lightning observations to better understand and predict convective storms that result in flash floods. As part of the project, 23 case studies of flash floods in the Mediterranean region were examined. For the analysis of these storms, lightning data were used together with rainfall estimates in order to understand the storms' development and electrification processes. In addition, these case studies were simulated using mesoscale meteorological models to better understand the local and synoptic conditions leading to such intense and damaging storms. As part of this project, tools for short-term predictions (nowcasts) of intense convection across the Mediterranean and Europe, and long-term forecasts (a few days) of the likelihood of intense convection, were developed and employed. The project also focused on educational outreach through a special Web site http://flashproject.org supplying real-time lightning observations, real-time experimental nowcasts, medium-range weather forecasts and educational materials. While flash floods and intense thunderstorms cannot be prevented, long-range regional lightning networks can supply valuable data, in real time, for warning the public, end-users and stakeholders of imminent intense rainfall and possible flash floods. (literal)

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