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 25 dic 2025