Statistical Modelling of Recent Changes in Extreme Rainfall in Taiwan

1. Person: Chu, Lan-Fen
Weitere Personen: McAleer, Michael; Wang, Szu-Hua
Format: Online-Artikel
Sprache: English
Veröffentlicht: Tinbergen Institute 2012
Serien: Tinbergen Institute Discussion Paper
Schlagworte: Wetter
Sturm
Statistische Verteilung
Taiwan
Weather
Storm
Statistical distribution
Taiwan
Online Zugang: https://www.econstor.eu/bitstream/10419/87174/1/13-004.pdf
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id
oai_econstor.eu_10419-87174
recordtype
econstor
institution
MPG
collection
ECONSTOR
title
Statistical Modelling of Recent Changes in Extreme Rainfall in Taiwan
spellingShingle
Statistical Modelling of Recent Changes in Extreme Rainfall in Taiwan
Wetter
Sturm
Statistische Verteilung
Taiwan
Weather
Storm
Statistical distribution
Taiwan
Chu, Lan-Fen
Tinbergen Institute Discussion Paper
title_short
Statistical Modelling of Recent Changes in Extreme Rainfall in Taiwan
title_full
Statistical Modelling of Recent Changes in Extreme Rainfall in Taiwan
title_fullStr
Statistical Modelling of Recent Changes in Extreme Rainfall in Taiwan
title_full_unstemmed
Statistical Modelling of Recent Changes in Extreme Rainfall in Taiwan
title_sort
Statistical Modelling of Recent Changes in Extreme Rainfall in Taiwan
format
electronic Article
format_phy_str_mv
Paper
publisher
Tinbergen Institute
publishDate
2012
language
English
topic
Wetter
Sturm
Statistische Verteilung
Taiwan
Weather
Storm
Statistical distribution
Taiwan
topic_facet
Weather
Storm
Statistical distribution
Taiwan
author
Chu, Lan-Fen
author2
McAleer, Michael
Wang, Szu-Hua
author2Str
McAleer, Michael
Wang, Szu-Hua
description
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.
url
https://www.econstor.eu/bitstream/10419/87174/1/13-004.pdf
series
Tinbergen Institute Discussion Paper
seriesStr
Tinbergen Institute Discussion Paper
Tinbergen Institute Discussion Paper
series2
Tinbergen Institute Discussion Paper
series2_facet
Tinbergen Institute Discussion Paper
up_date
2019-10-18T02:54:23.321Z
_version_
1647698019500425216

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