講演抄録/キーワード |
講演名 |
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 |
抄録 |
(和) |
(まだ登録されていません) |
(英) |
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. |
キーワード |
(和) |
Assimilation / Radar / Shallow water / Kalman filter / Tracking / Tsunami / / |
(英) |
Assimilation / Radar / Shallow water / Kalman filter / Tracking / Tsunami / / |
文献情報 |
信学技報, vol. 115, no. 320, SANE2015-63, pp. 75-80, 2015年11月. |
資料番号 |
SANE2015-63 |
発行日 |
2015-11-16 (SANE) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
著作権に ついて |
技術研究報告に掲載された論文の著作権は電子情報通信学会に帰属します.(許諾番号:10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
PDFダウンロード |
SANE2015-63 |