globalchange  > 过去全球变化的重建
DOI: 10.1002/env.2532
WOS记录号: WOS:000466775400007
论文题名:
Increases in the extreme rainfall events: Using the Weibull distribution
作者: Olivera, Sazcha; Heard, Christopher
通讯作者: Olivera, Sazcha
刊名: ENVIRONMETRICS
ISSN: 1180-4009
EISSN: 1099-095X
出版年: 2019
卷: 30, 期:4
语种: 英语
英文关键词: climate change ; extreme weather event ; Mexico ; precipitation ; Weibull distribution
WOS关键词: WEATHER ; TRENDS ; PARAMETERS ; ECONOMICS ; DISASTERS ; ATLANTIC
WOS学科分类: Environmental Sciences ; Mathematics, Interdisciplinary Applications ; Statistics & Probability
WOS研究方向: Environmental Sciences & Ecology ; Mathematics
英文摘要:

The frequency of extreme weather events, such as severe floods, storms, hurricanes, and droughts, seems to have increased in recent years. The analysis of trends and other changes in the distribution of these phenomena uses the extreme value theory. This study proposes the use of the Weibull distribution for the evaluation of extreme events in precipitation. A correct assessment of probabilities of extreme precipitation events and their changes is important for stakeholders, particularly in agriculture, infrastructure, tourism, and insurance. This paper provides a simple approach in showing the trends in extreme precipitation in the western part of Mexico. The methodology has an additional virtue as it enables the calculation of probabilities of change in extreme events. With this, it is feasible to develop new methodologies for better understanding of climate change.


Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/139820
Appears in Collections:过去全球变化的重建

Files in This Item:

There are no files associated with this item.


作者单位: Univ Autonoma Metropolitana, Dept Teoria & Proc Diseno, Ciencias Comunicac & Diseno, Unidad Cuajimalpa, Mexico City 05370, DF, Mexico

Recommended Citation:
Olivera, Sazcha,Heard, Christopher. Increases in the extreme rainfall events: Using the Weibull distribution[J]. ENVIRONMETRICS,2019-01-01,30(4)
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Olivera, Sazcha]'s Articles
[Heard, Christopher]'s Articles
百度学术
Similar articles in Baidu Scholar
[Olivera, Sazcha]'s Articles
[Heard, Christopher]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Olivera, Sazcha]‘s Articles
[Heard, Christopher]‘s Articles
Related Copyright Policies
Null
收藏/分享
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.