Presentation 2020-01-31
Sea surface height measurement by aitborne radar altimeter
Akitsugu Nadai,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Conventionally, prediction of tsunami wave height has been carried out by prediction of a fault model estimated from the ground motion. In order to predict tsunami wave height with high accuracy, it is effective to measure the tsunami wave height off the coast. Regarding an airborne altimeter as a method of measuring sea level water levels offshore, applicability to the prediction of mega tsunami based on its measurement accuracy was examined. Compared with the absolute dynamic topography by the satellite altimeter, the measurement accuracy of the airborne altimeter was about 5~cm. This indicates that the airborne altimeter has sufficient accuracy to predict the mega tsunami.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) airborne altimeter / sea level / GNSS / absolute dymanic topogtaphy / mega-tsunamis
Paper # SANE2019-96
Date of Issue 2020-01-23 (SANE)

Conference Information
Committee SANE
Conference Date 2020/1/30(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Nagasaki Prefectural Art Museum
Topics (in Japanese) (See Japanese page)
Topics (in English) Positioning, navigation, Radar and general
Chair Akitsugu Nadai(NICT)
Vice Chair Hiroyoshi Yamada(Niigata Univ.) / Makoto Tanaka(Tokai Univ.)
Secretary Hiroyoshi Yamada(Univ. of Electro-Comm.) / Makoto Tanaka(Mitsubishi Electric)
Assistant Ryo Natsuaki(Univ. of Tokyo) / Masato Yamanashi(Mitsubishi Space Software) / Shunichi Futatsumori(ENRI)

Paper Information
Registration To Technical Committee on Space, Aeronautical and Navigational Electronics
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Sea surface height measurement by aitborne radar altimeter
Sub Title (in English)
Keyword(1) airborne altimeter
Keyword(2) sea level
Keyword(3) GNSS
Keyword(4) absolute dymanic topogtaphy
Keyword(5) mega-tsunamis
1st Author's Name Akitsugu Nadai
1st Author's Affiliation NICT(NICT)
Date 2020-01-31
Paper # SANE2019-96
Volume (vol) vol.119
Number (no) SANE-405
Page pp.pp.67-68(SANE),
#Pages 2
Date of Issue 2020-01-23 (SANE)