Assessing Extremes in Hydroclimatology: A Review on Probabilistic Methods
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F22%3A91617" target="_blank" >RIV/60460709:41330/22:91617 - isvavai.cz</a>
Result on the web
<a href="https://www-sciencedirect-com.cyber.usask.ca/science/article/pii/S0022169421013524?via%3Dihub" target="_blank" >https://www-sciencedirect-com.cyber.usask.ca/science/article/pii/S0022169421013524?via%3Dihub</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.jhydrol.2021.127302" target="_blank" >10.1016/j.jhydrol.2021.127302</a>
Alternative languages
Result language
angličtina
Original language name
Assessing Extremes in Hydroclimatology: A Review on Probabilistic Methods
Original language description
Here we review methods used for probabilistic analysis of extreme events in Hydroclimatology. We focus on streamflow, precipitation, and temperature extremes at regional and global scales. The review has four thematic sections: 1 probability distributions used to describe hydroclimatic extremes, 2 comparative studies of parameter estimation methods, 3 non stationarity approaches, and 4 model selection tools. Synthesis of the literature shows that: 1 recent studies, in general, agree that precipitation and streamflow extremes should be described by heavy tailed distributions, 2 the Method of Moments is typically the first choice in estimating distribution parameters but it is outperformed by methods such as L Moments LM, Maximum Likelihood ML, Least Squares LS, and Bayesian Markov Chain Monte Carlo BMCMC, 3 there are less popular parameter estimation techniques such as the Maximum Product of Spacings MPS the Elemental Percentile EP, and the Minimum Density Power Divergence Estimator MDPDE that have s
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
—
OECD FORD branch
10505 - Geology
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Hydrology
ISSN
0022-1694
e-ISSN
1879-2707
Volume of the periodical
2022
Issue of the periodical within the volume
605
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
20
Pages from-to
1-20
UT code for WoS article
000752473800001
EID of the result in the Scopus database
2-s2.0-85121921987