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Paper Abstract and Keywords
Presentation 2015-11-24 14:10
Radar Data Assimilation for a Tsunami Simulation Model Using Kalman Filter
Tetsutaro Yamada, Hiroaki Ishikawa, Takafumi Nagano, Takayuki Nakanishi, Taizo Isono, Toshihiko Arioka, Yasushi Obata (Mitsubishi Electric) SANE2015-63
Abstract (in Japanese) (See Japanese page) 
(in English) It is expected that wave height of a tsunami will be estimated far out at sea using a Doppler Radar as a tsunami warning system. However, it is difficult to estimate wave height by solving shallow water equations, because Radar measurements have observation noise and estimated the wave height has accumulated errors. In order to resolve the problem, we proposed a method of Radar data assimilation for a tsunami simulation model using the Kalman filter. The validity of the proposed algorithm has been confirmed through several computer simulations.
Keyword (in Japanese) (See Japanese page) 
(in English) Assimilation / Radar / Shallow water / Kalman filter / Tracking / Tsunami / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 320, SANE2015-63, pp. 75-80, Nov. 2015.
Paper # SANE2015-63 
Date of Issue 2015-11-16 (SANE) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Committee SANE  
Conference Date 2015-11-23 - 2015-11-24 
Place (in Japanese) (See Japanese page) 
Place (in English) AIT, Bangkok, Thailand 
Topics (in Japanese) (See Japanese page) 
Topics (in English) ICSANE 2015 
Paper Information
Registration To SANE 
Conference Code 2015-11-SANE 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Radar Data Assimilation for a Tsunami Simulation Model Using Kalman Filter 
Sub Title (in English)  
Keyword(1) Assimilation  
Keyword(2) Radar  
Keyword(3) Shallow water  
Keyword(4) Kalman filter  
Keyword(5) Tracking  
Keyword(6) Tsunami  
Keyword(7)  
Keyword(8)  
1st Author's Name Tetsutaro Yamada  
1st Author's Affiliation Mitsubishi Electric Corporation (Mitsubishi Electric)
2nd Author's Name Hiroaki Ishikawa  
2nd Author's Affiliation Mitsubishi Electric Corporation (Mitsubishi Electric)
3rd Author's Name Takafumi Nagano  
3rd Author's Affiliation Mitsubishi Electric Corporation (Mitsubishi Electric)
4th Author's Name Takayuki Nakanishi  
4th Author's Affiliation Mitsubishi Electric Corporation (Mitsubishi Electric)
5th Author's Name Taizo Isono  
5th Author's Affiliation Mitsubishi Electric Corporation (Mitsubishi Electric)
6th Author's Name Toshihiko Arioka  
6th Author's Affiliation Mitsubishi Electric Corporation (Mitsubishi Electric)
7th Author's Name Yasushi Obata  
7th Author's Affiliation Mitsubishi Electric Corporation (Mitsubishi Electric)
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Speaker Author-1 
Date Time 2015-11-24 14:10:00 
Presentation Time 25 minutes 
Registration for SANE 
Paper # SANE2015-63 
Volume (vol) vol.115 
Number (no) no.320 
Page pp.75-80 
#Pages 6 
Date of Issue 2015-11-16 (SANE) 

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