Tails of extremes: Advancing a graphical method and harnessing big data to assess precipitation extremes
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F19%3A81516" target="_blank" >RIV/60460709:41330/19:81516 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S0309170819304671?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0309170819304671?via%3Dihub</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.advwatres.2019.103448" target="_blank" >10.1016/j.advwatres.2019.103448</a>
Alternative languages
Result language
angličtina
Original language name
Tails of extremes: Advancing a graphical method and harnessing big data to assess precipitation extremes
Original language description
Extremes are rare and unexpected. This limits observations and constrains our knowledge on their predictability and behavior. Graphical tools are among the many methods developed to study extremes. A major weakness is that they rely on visual-inspection inferences which are subjective and make applications to large datasets time consuming and impractical. Here, we advance a graphical method, the so-called Mean Excess Function (MEF), into an algorithmic procedure. MEF investigates the mean value of a variable over threshold, and thus, focuses on extremes. We formulate precise and easy to apply statistical tests, based on the MEF, to assess if observed data can be described by exponential or heavier tails. As a real-world example, we apply our method in 21,348 daily precipitation records from all over the globe. Results show that the exponential tail hypothesis is rejected in 75,8% of the records indicating that heavy-tail distributions (alternative hypothesis) can better describe rainfall extremes. Th
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10503 - Water resources
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
ADVANCES IN WATER RESOURCES
ISSN
0309-1708
e-ISSN
1872-9657
Volume of the periodical
134
Issue of the periodical within the volume
N
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
9
Pages from-to
1-9
UT code for WoS article
000496256900014
EID of the result in the Scopus database
2-s2.0-85074275323