caa a22 4500 445327197 CHVBK 20180317142724.0 cr unu---uuuuu 170323e20110901xx s 000 0 eng 10.1007/s10723-010-9173-9 doi (NATIONALLICENCE)springer-10.1007/s10723-010-9173-9 Grid Technology Reliability for Flash Flood Forecasting: End-user Assessment [Elektronische Daten] [Vincent Thierion, Pierre-Alain Ayral, Geisel Jacob, Sauvagnargues-Lesage Sophie, Payrastre Olivier] The flash flood forecasting is one of the most important challenges for research in hydrology. The anticipation of extreme hydrological scenarios through rainfall-runoff models is still limited, mainly because of the high uncertainty of rainfall forecasts, as of limited computing resources. The authors propose to simulate an ensemble of potential hydrological scenarios in order to support the forecaster's decision-making process. The developed applicative layer takes advantage of the computing capabilities of Grid technology, significantly enhancing the management of independent modelling operations in an operational lead time. A set of experimentations is deployed in order to firstly assess efficiency of this applicative layer and secondly to gauge more broadly the potentialities of Grid to handle flood crisis management operations. Finally, in managing more than one hundred hydrological simulations simultaneously, this experimental platform opens new perspectives for the improvement of hydrological forecast modelling, limited up to now by the lack of computing resources. Springer Science+Business Media B.V., 2011 Flash flood forecasting nationallicence Rainfall-runoff model nationallicence Grid computing nationallicence User-level scheduling nationallicence Quality of service nationallicence Thierion Vincent Ecole des Mines d'Alès (LGEI), 6, Avenue de Clavières, 30319, Alès, Cedex, France aut Ayral Pierre-Alain Ecole des Mines d'Alès (LGEI), 6, Avenue de Clavières, 30319, Alès, Cedex, France aut Jacob Geisel Ecole des Mines d'Alès (LGEI), 6, Avenue de Clavières, 30319, Alès, Cedex, France aut Sophie Sauvagnargues-Lesage Ecole des Mines d'Alès (LGEI), 6, Avenue de Clavières, 30319, Alès, Cedex, France aut Olivier Payrastre Laboratoire Central des Ponts et Chaussées (LCPC), Route de Bouaye, BP 4129, 44341, Bouguenais, France aut Journal of Grid Computing Springer Netherlands 9/3(2011-09-01), 405-422 1570-7873 9:3<405 2011 9 10723 https://doi.org/10.1007/s10723-010-9173-9 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10723-010-9173-9 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Thierion Vincent Ecole des Mines d'Alès (LGEI), 6, Avenue de Clavières, 30319, Alès, Cedex, France aut NATIONALLICENCE 700 1- Ayral Pierre-Alain Ecole des Mines d'Alès (LGEI), 6, Avenue de Clavières, 30319, Alès, Cedex, France aut NATIONALLICENCE 700 1- Jacob Geisel Ecole des Mines d'Alès (LGEI), 6, Avenue de Clavières, 30319, Alès, Cedex, France aut NATIONALLICENCE 700 1- Sophie Sauvagnargues-Lesage Ecole des Mines d'Alès (LGEI), 6, Avenue de Clavières, 30319, Alès, Cedex, France aut NATIONALLICENCE 700 1- Olivier Payrastre Laboratoire Central des Ponts et Chaussées (LCPC), Route de Bouaye, BP 4129, 44341, Bouguenais, France aut NATIONALLICENCE 773 0- Journal of Grid Computing Springer Netherlands 9/3(2011-09-01), 405-422 1570-7873 9:3<405 2011 9 10723 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer