Flood forecasting in a grid computing environment

2Citations
Citations of this article
5Readers
Mendeley users who have this article in their library.
Get full text

Abstract

This paper presents a prototype of a flood forecasting system based on Grid computing. Flood forecasting is a complex problem that requires cooperation and coupling of many simulation models. To enable this coupling in an effective way, a part of the CrossGrid project is aimed towards developing a Grid Computing Environment (GCE) for flood forecasting, as described here. The Grid computing environmentconsists of a cascade of simulation models, a storage system for computed and measured data and other used datasets, a web-based portal with collaboration tools and a powerful computation facility. The whole system is tied together by Grid technology and is used to support a virtual organization of experts, developers and users.

Cite

CITATION STYLE

APA

Hluchý, L., Astaloš, J., Dobrucký, M., Habala, O., Šimo, B., & Tran, V. D. (2004). Flood forecasting in a grid computing environment. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3019, pp. 831–839). Springer Verlag. https://doi.org/10.1007/978-3-540-24669-5_108

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free