Urgent Computing for Operational Storm Surge Forecasting in Saint-Petersburg

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• 作者：Alexander V. Boukhanovsky ; Sergey V. Ivanov ; ^{svivanov@mail.ifmo.ru}
• 关键词：storm surge ; forecasting ; data assimilation ; urgent computing
• 刊名：Procedia Computer Science
• 出版年：2012
• 期刊代码：pc74_18770509
• 类别：cp
• 出版时间：2012
• 卷：9
• 期：Complete
• 页码：1704-1712
• 文件大小：819 K

摘要

The accurate forecasting of storm surges and decision support for gates maneuvering is an important issue in Saint-Petersburg. The evolution of the numerical hydrodynamic models, hardware performance and computer technologies allow to make Flood Warning System (FWS) in Saint-Petersburg more reliable and appropriate to the real needs. This article describes the key solutions of the development and the present operational set-up of FWS with emphasis on computational issues and decision support on the basis of urgent computing paradigm. It includes a brief description data-assimilation techniques, such as Kalman filtering, the probabilistic real-data forecasting model, forecast quality control, distributed computing of different scenarios and decision support for gates maneuvering.