The Research of the Trend between the Annual Mazimum Sea Level and Southern Oscillation Indez

摘要：

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.

关键词： Quantile Regression Southern Oscillation Indez Annual Mazimum Sea Level Least Square Regression

作者: Guan Jing Shi Daoji He Yuanyuan

作者单位: School of Science,Tianjin University,Tianjin,China School of Environmental Science and Engineering,Tianjin University,Tianjin,China

会议类型: 国际会议

会议名称: The 3rd International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2009)(第三届生物信息与生物医学工程国际会议)

会议地点: 北京

会议语种:英文

页码: 1-4

在线出版日期: 2009-06-11（万方平台首次上网日期，不代表论文的发表时间）