The FLASH Project: using lightning data to better understand and predict flash floods

被引:26
|
作者
Price, C. [1 ]
Yair, Y. [2 ]
Mugnai, A. [3 ]
Lagouvardos, K. [4 ]
Llasat, M. C. [5 ]
Michaelides, S. [6 ]
Dayan, U. [7 ]
Dietrich, S. [3 ]
Galanti, E. [1 ]
Garrote, L. [8 ]
Harats, N. [7 ]
Katsanos, D. [4 ]
Kohn, M. [1 ]
Kotroni, V. [4 ]
Llasat-Botija, M. [5 ]
Lynn, B. [2 ,7 ]
Mediero, L. [8 ]
Morin, E. [7 ]
Nicolaides, K. [6 ]
Rozalis, S. [1 ]
Savvidou, K. [6 ]
Ziv, B. [2 ]
机构
[1] Tel Aviv Univ, IL-69978 Tel Aviv, Israel
[2] Open Univ Israel, Raanana, Israel
[3] ISAC, Natl Res Council, Rome, Italy
[4] Natl Observ Athens, Athens, Greece
[5] Univ Barcelona, Barcelona, Spain
[6] Cyprus Meteorol Serv, Nicosia, Cyprus
[7] Hebrew Univ Jerusalem, IL-91905 Jerusalem, Israel
[8] Tech Univ Madrid, Madrid, Spain
关键词
Flash flood; Lightning; Thunderstorms; FLASH; Climate change; DATA ASSIMILATION; MODEL; PARAMETERIZATION; EVOLUTION;
D O I
10.1016/j.envsci.2011.03.004
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The FLASH project was implemented from 2006 to 2010 under the EU FP6 framework. The project focused 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 from the ZEUS network were used together with satellite derived rainfall estimates in order to understand the storm development and electrification. In addition, these case studies were simulated using mesoscale meteorological models to better understand the meteorological and synoptic conditions leading up to these intense 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. The project also focused on educational outreach through our website http://flashproject.org supplying real time lightning observations, real time experimental nowcasts, forecasts and educational materials. While flash floods and intense thunderstorms cannot be prevented as the climate changes, long-range regional lightning networks can supply valuable data, in real time, for warning end-users and stakeholders of imminent intense rainfall and possible flash floods. (C) 2011 Elsevier Ltd. All rights reserved.
引用
收藏
页码:898 / 911
页数:14
相关论文
共 50 条
  • [31] Spatial variability assessment of river-line floods and flash floods in Himalaya A case study using GIS
    Rawat, Pradeep K.
    Pant, C. C.
    Tiwari, P. C.
    Pant, P. D.
    Sharma, A. K.
    DISASTER PREVENTION AND MANAGEMENT, 2012, 21 (02) : 135 - 159
  • [32] Advances in flash floods understanding and modelling derived from the FloodScale project in South-East France
    Braud, Isabelle
    Ayral, Pierre-Alain
    Bouvier, Christophe
    Branger, Flora
    Delrieu, Guy
    Dramais, Guillaume
    Le Coz, Jerome
    Leblois, Etienne
    Nord, Guillaume
    Vandervaere, Jean-Pierre
    3RD EUROPEAN CONFERENCE ON FLOOD RISK MANAGEMENT (FLOODRISK 2016), 2016, 7
  • [33] Using full-flash narrowband energy for ranging of lightning ground strokes
    Makela, J. S.
    Porjo, N.
    Ahola, T.
    Hamalainen, A.
    Jantunen, J.
    JOURNAL OF ATMOSPHERIC AND SOLAR-TERRESTRIAL PHYSICS, 2008, 70 (01) : 156 - 168
  • [34] LIGHTNING SOURCE LOCATIONS FROM VHF RADIATION DATA FOR A FLASH AT KENNEDY SPACE CENTER
    RUSTAN, PL
    UMAN, MA
    CHILDERS, DG
    BEASLEY, WH
    LENNON, CL
    JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 1980, 85 (NC9) : 4893 - 4903
  • [35] Loss of Life Estimation Due to Flash Floods in Residential Areas using a Regional Model
    Karbasi, Mehdi
    Shokoohi, Alireza
    Saghafian, Bahram
    WATER RESOURCES MANAGEMENT, 2018, 32 (14) : 4575 - 4589
  • [36] Simulating Flash Floods in Small Rivers of the Northern Caucasus with the Use of Data of Automated Hydrometeorological Network
    E. S. Vasil’eva
    P. A. Belyakova
    A. I. Aleksyuk
    N. V. Selezneva
    V. V. Belikov
    Water Resources, 2021, 48 : 182 - 193
  • [37] Moving boulders in flash floods and estimating flow conditions using boulders in ancient deposits
    Alexander, Jan
    Cooker, Mark J.
    SEDIMENTOLOGY, 2016, 63 (06) : 1582 - 1595
  • [38] Bayesian modeling of flash floods using generalized extreme value distribution with prior elicitation
    Gaioni, Elijah
    Dey, Dipak
    Ruggeri, Fabrizio
    CHILEAN JOURNAL OF STATISTICS, 2010, 1 (01): : 75 - 90
  • [39] Geohazard characterization using remote sensing to model flash floods of the southeast Sinai, Egypt
    Obiegbu, Okechukwu Livinus
    INTERPRETATION-A JOURNAL OF SUBSURFACE CHARACTERIZATION, 2021, 9 (03): : T821 - T831
  • [40] Impact of Spatial Distribution Methods for Rainfall on Flash Floods Modelling Using a Hydrodynamic Model
    Sun, Nan
    Huang, Wei
    Creed, Maggie
    Sun, Xihuan
    JOURNAL OF FLOOD RISK MANAGEMENT, 2025, 18 (01):