Record Details

Improvement in wave forecast using data assimilative coastal wave model

NOPR - NISCAIR Online Periodicals Repository

View Archive Info
 
 
Field Value
 
Title Improvement in wave forecast using data assimilative coastal wave model
 
Creator Bhowmick, Suchandra A
Kumar, Raj
Basu, Sujit
Sarkar, Abhijit
Agarwal, Vijay K
 
Subject Coastal wave model
wave spectrum
assimilation
blending
direct insertion
 
Description 142-150
Attempt has been made to improve wave forecast using a data-assimilative coastal model. Synthetic ocean wave spectra have been computed using scatterometer forced coastal wave model SWAN. The spectra have been assimilated in the same model forced by ETA model wind from the National Center for Medium Range Weather Forecast (NCMRWF). Model runs have been made for the Indian coastal region. Assimilation techniques used are direct insertion and blending. The present study reveals that the model performance has improved both for the significant wave height and swell height during the assimilation period and the forecast period. Direct insertion performs better than blending. Improvement is more in the case of slow moving low frequency swell as compared to the wind-generated wave. Impact of the assimilation remains significant for about 2 days in the case of total significant wave height, while for the swell; the memory of assimilation is about 3 days.
 
Date 2009-06-16T05:30:02Z
2009-06-16T05:30:02Z
2009-06
 
Type Article
 
Identifier 0975-1033 (Online); 0379-5136 (Print)
http://hdl.handle.net/123456789/4663
 
Language en_US
 
Publisher CSIR
 
Source IJMS Vol.38(2) [June 2009]