Problem solving environment for development and maintenance of St. Petersburg's Flood Warning System

被引：6

作者：

Kosukhin, Sergey S. ^{[1
]}

Kalyuzhnaya, Anna V. ^{[1
]}

Nasonov, Denis ^{[1
]}

机构：

[1] ITMO Univ, St Petersburg, Russia

来源：

2014 INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE | 2014年 / 29卷

关键词：

problem solving environment; composite application; flood warning system; flood simulation; ensemble forecasting; DECISION-SUPPORT; SIMULATION;

D O I：

10.1016/j.procs.2014.05.152

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Saint-Petersburg Flood Warning System (FWS) is a life-critical system that requires permanent maintenance and development. Tasks that arise during these processes could be much more resource-intensive than an operational loop of the system and may involve complex problems for research. Thereby it is essential to have a special software tool to handle a collection of different models, data sources and auxiliary software that they could be combined in different ways according to a particular research problem to be solved. This paper aims to share the idea of Saint-Petersburg FWS evolution with help of problem-solving environment based on the cloud platform CLAVIRE.

引用

页码：1667 / 1676

页数：10

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