RT Report
T1 Statistical Modelling of Recent Changes in Extreme Rainfallin Taiwan
A1 Chu, Lan-Fen
A1 McAleer, Michael
A1 Wang, Szu-Hua
AB This paper has two primary purposes. First, we fit the annual maximum daily rainfall data for 6 rainfall stations, both with stationary and non-stationary generalized extreme value (GEV) distributions for the periods 1911-2010 and 1960-2010 in Taiwan, and detect the changes between the two phases for extreme rainfall. The non-stationary model means that the location parameter in the GEV distribution is a linear function of time to detect temporal trends in maximum rainfall. Second, we compute the future behavior of stationary models for the return levels of 10, 20, 50 and 100-years based on the period 1960-2010. In addition, the 95% confidence intervals of the return levels are provided. This is the first investigation to use generalized extreme value distributions to model extreme rainfall in Taiwan.
YR 2012
FD 2012-12
LK https://hdl.handle.net/20.500.14352/49129
UL https://hdl.handle.net/20.500.14352/49129
LA eng
NO JEL: Q54, Q51, Q57.
NO Taiwan Climate Change Projection and Information Platform Project
NO Australian Research Council
NO National Science Council, Taiwan
NO Japan Society for the Promotion of Science
DS Docta Complutense
RD 6 abr 2025