Statistical Modelling of Recent Changes in Extreme Rainfall in Taiwan
Lan-Fen Chu,
Michael McAleer and
Szu-Hua Wang
Additional contact information
Lan-Fen Chu: National Science and Technology Center for Disaster Reduction (NCDR)
Szu-Hua Wang: Chinese Cultural University, Taiwan
No 13-004/III, Tinbergen Institute Discussion Papers from Tinbergen Institute
Abstract:
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.
Keywords: Generalized extreme value; Extreme rainfall; Return level; Statistical modelling (search for similar items in EconPapers)
JEL-codes: Q51 Q54 Q57 (search for similar items in EconPapers)
Date: 2012-01-07
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://papers.tinbergen.nl/13004.pdf (application/pdf)
Related works:
Working Paper: Statistical Modeling of Recent Changes in Extreme Rainfall in Taiwan (2012) 
Working Paper: Statistical Modelling of Recent Changes in Extreme Rainfall in Taiwan (2012) 
Working Paper: Statistical Modelling of Recent Changes in Extreme Rainfall in Taiwan (2012) 
Working Paper: Statistical Modelling of Recent Changes in Extreme Rainfall in Taiwan (2012) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:tin:wpaper:20130004
Access Statistics for this paper
More papers in Tinbergen Institute Discussion Papers from Tinbergen Institute Contact information at EDIRC.
Bibliographic data for series maintained by Tinbergen Office +31 (0)10-4088900 ().