The Research of the Trend between the Annual Maximum Sea Level and Southern Oscillation Index

Author

Guan Jing ; Shi Daoji ; He Yuanyuan

Author_Institution

Sch. of Sci., Tianjin Univ., Tianjin, China

fYear

2009

fDate

11-13 June 2009

Firstpage

1

Lastpage

4

Abstract

El Nino-Southern Oscillation is the strongest sea-weather interaction phenomena, which causes global climate change, and makes significant impact on sea level variation. The linear trend of the annual maximum sea level at Fremantle Port, Western Australia, related with time and Southern Oscillation index during 1897-1989 is analyzed by linear conditional quantile regression model. And the result is compared with that of the classical least square regression. The result shows that, under different quantiles, the linear trend of the annual maximum sea level related with time and Southern Oscillation Index is different, and quantile regression can provide much more information than the classical least square regression. So it is of great significant for prediction and prevention.

Keywords

El Nino Southern Oscillation; climatology; regression analysis; sea level; AD 1897 to 1989; El Nino-Southern Oscillation; Fremantle Port; Western Australia; annual maximum sea level; global climate change; least square regression; sea-weather interaction; southern oscillation index; Atmosphere; Australia; Global warming; Helium; Humans; Least squares methods; Oceans; Production; Sea level; Sea surface;

fLanguage

English

Publisher

ieee

Conference_Titel

Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4244-2901-1

Electronic_ISBN

978-1-4244-2902-8

Type

conf

DOI

10.1109/ICBBE.2009.5163657

Filename

5163657