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
收藏
页码：305 / 318
页数：14
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