Observing and modelling the high water level from satellite radar altimetry during tropical cyclones

Paper

Deng, Xiaoli, Gharineiat, Zahra, Andersen, Ole B. and Stewart, Mark G.. 2016. "Observing and modelling the high water level from satellite radar altimetry during tropical cyclones." Rizos, Chris and Willis, Pascal (ed.) 2013 IAG Scientific Assembly. Postdam, Germany 01 - 06 Sep 2013 Switzerland. https://doi.org/10.1007/1345_2015_108
Paper/Presentation Title

Observing and modelling the high water level from satellite radar altimetry during tropical cyclones

Presentation TypePaper
AuthorsDeng, Xiaoli (Author), Gharineiat, Zahra (Author), Andersen, Ole B. (Author) and Stewart, Mark G. (Author)
EditorsRizos, Chris and Willis, Pascal
Journal or Proceedings TitleProceedings of the 2013 IAG Scientific Assembly, Postdam, Germany, 1–6 September, 2013
ERA Conference ID50526
Journal Citation143, pp. 491-499
Number of Pages9
Year2016
Place of PublicationSwitzerland
ISBN9783319246031
9783319308951
Digital Object Identifier (DOI)https://doi.org/10.1007/1345_2015_108
Web Address (URL) of Paperhttp://link.springer.com/chapter/10.1007%2F1345_2015_108
Conference/Event2013 IAG Scientific Assembly
International Association of Geodesy General Assembly
Event Details
2013 IAG Scientific Assembly
Event Date
01 to end of 06 Sep 2013
Event Location
Postdam, Germany
Event Details
International Association of Geodesy General Assembly
IAG General Assembly
Abstract

This paper investigates the capability of
observing tropical cyclones using satellite radar
altimetry. Two representative cyclones Yasi
(February 2011) and Larry (March 2006) in the
northeast Australian coastal area are selected based
also on available tide gauge sea level measurements.
It is shown that altimetry data can capture high water
levels induced by Larry and Yasi through a careful
re-processing and re-editing of the data. About 18
years of data from multi-satellite altimetry missions
including TOPEX/Poseidon, Jason-1 and Jason-2,
and seven tide gauges around the northern
Australian coast are integrated using a multivariate
regression approach. The results reveal that the
multi-regression model can, in general, explain
>60% of sea level variances in the study area. The
model is then validated using independent data from
tide gauge in Townsville. The comparison results
indicate that the high sea levels predicted by the
model taken into account of both altimetry and tide gauge
data agree well with those observed at
Townsville during cyclone Larry.

Keywordssatellite radar altimetry, tropicalcyclone, coastal sea level, multivariate regression
ANZSRC Field of Research 2020419999. Other environmental sciences not elsewhere classified
370903. Natural hazards
370899. Oceanography not elsewhere classified
370999. Physical geography and environmental geoscience not elsewhere classified
Public Notes

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Byline AffiliationsUniversity of Newcastle
Technical University of Denmark, Denmark
SeriesInternational Association of Geodesy Symposia
Institution of OriginUniversity of Southern Queensland
Book TitleIAG 150 years: proceedings of the 2013 IAG Scientific Assembly, Postdam, Germany, 1-6 September, 2013
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