Statistical Modelling of Recent Changes in Extreme Rainfall in Taiwan

Arbeitspapier

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.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Series: Tinbergen Institute Discussion Paper ; No. 13-004/III

Classification and Topics

• Classification: Wirtschaft ; Climate; Natural Disasters and Their Management; Global Warming ; Valuation of Environmental Effects ; Ecological Economics: Ecosystem Services; Biodiversity Conservation; Bioeconomics; Industrial Ecology
• Subject: Generalized extreme value ; Extreme rainfall ; Return level ; Statistical modelling ; Wetter ; Sturm ; Statistische Verteilung ; Taiwan

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Chu, Lan-Fen ; McAleer, Michael ; Wang, Szu-Hua
• Event: Veröffentlichung
• (who): Tinbergen Institute
• (where): Amsterdam and Rotterdam
• (when): 2012

Further information

• Handle: http://hdl.handle.net/10419/87174
• Last update: 10.03.2025, 11:44 AM CET