Storm surge forecasting using Kalman filtering ( a review ) Report 95 - 99
نویسندگان
چکیده
Two data assimilation procedures for real time storm surge forecasting based on Kalman ltering are described. To reduce the computational burden of the Kalman lter, a time invariant lter approximation is suggested rst. This lter 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 eecient algorithm for time varying Kalman ltering problems is introduced and applied to storm surge forecasting.
منابع مشابه
Operational storm surge forecasting in the Netherlands: developments in the last decade.
The accurate forecasting of storm surges is an important issue in the Netherlands. With the emergence of the first numerical hydrodynamic models for surge forecasting at the beginning of the 1980s, new demands and possibilities were raised. This article describes the main phases of the development and the present operational set-up of the Dutch continental shelf model, which is the main hydrody...
متن کاملA CYCLONE INDUCED STORM SURGE FORECASTING MODEL FOR THE COAST OF BANGLADESH WITH APPLICATION TO THE CYCLONE `SIDR'
The coast of Bangladesh has a specialty in terms of high bending and many off- shore islands. Incorporation of the coastline and island boundaries properly in the numerical scheme is essential for accurate estimation of water levels due to surge. For that purpose a numerical scheme consisting of very fine mesh is required along the coastal belt, whereas this is unnecessary away from the coast. In...
متن کاملDedication To my husband
FOLEY, KRISTEN MADSEN. Multivariate Spatial Temporal Statistical Models for Applications in Coastal Ocean Prediction. (Under the direction of Montserrat Fuentes and Lian Xie.) Estimating the spatial and temporal variation of surface wind fields plays an important role in modeling atmospheric and oceanic processes. This is particularly true for hurricane forecasting, where numerical ocean models...
متن کاملSupport vector regression methodology for storm surge predictions
To avoid property loss and reduce risk caused by typhoon surges, accurate prediction of surge deviation is an important task. Many conventional numerical methods and experimental methods for typhoon surge forecasting have been investigated, but it is still a complex ocean engineering problem. In this paper, support vector regression (SVR), an emerging artificial intelligence tool in forecasting...
متن کاملOne-Day-Ahead Load Forecasting using nonlinear Kalman filtering algorithms
In this paper, we consider the problem of 24-hour ahead short-term load forecasting; the formulation is based on the nonlinear Kalman filtering. Our formulation takes into account weather conditions as well as previous trends. Effects of weather as well as prior consumptions are nonlinear functions; hence our choice. We compare our proposed method with the standard Kalman filtering approach and...
متن کامل