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Article . 2018 . Peer-reviewed
License: Wiley Online Library User Agreement
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Article . 2019
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Increases in the extreme rainfall events: Using the Weibull distribution

Increases in the extreme rainfall events: using the Weibull distribution
Authors: Olivera, Sazcha; Heard, Christopher;

Increases in the extreme rainfall events: Using the Weibull distribution

Abstract

AbstractThe 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.

Related Organizations
Keywords

climate change, extreme weather event, Weibull distribution, precipitation, Applications of statistics to environmental and related topics, Mexico

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    popularity
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    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
19
Top 10%
Top 10%
Average
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