Storm surge forecasting using Kalman filtering

被引：10

作者：

Heemink, AW ^{[1
]}

Bolding, K ^{[1
]}

Verlaan, M ^{[1
]}

机构：

[1] DANISH METEOROL INST, DK-2100 COPENHAGEN, DENMARK

来源：

JOURNAL OF THE METEOROLOGICAL SOCIETY OF JAPAN | 1997年 / 75卷 / 1B期

关键词：

D O I：

10.2151/jmsj1965.75.1B_305

中图分类号：

P4 [大气科学（气象学）];

学科分类号：

0706 ; 070601 ;

摘要：

Two data assimilation procedures for real time storm surge forecasting based on Kalman filtering are described. To reduce the computational burden of the Kalman filter, a time invariant filter approximation is suggested first. This filter is computed using the Chandrasekhar-type algorithm. The resulting data assimilation procedure has been used for storm surge forecasting on a routine basis for a number of years in The Netherlands and in Denmark. The results of these operational systems are discussed in detail. Finally also a new efficient algorithm for time varying Kalman filtering problems is introduced and applied to storm surge forecasting.

引用

页码：305 / 318

页数：14

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