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Assessment of historical and projected changes in extreme temperatures of Balochistan, Pakistan using extreme value theory
The fundamental consequences of global warming include an upsurge in the intensity and frequency of temperature extremes. This study provides an...
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Drought risk probabilistic models based on extreme value theory
The article presents original, probabilistic models for the quantification of drought risk, based on generalized distribution functions for the...
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On a new extreme value distribution: characterization, parametric quantile regression, and application to extreme air pollution events
Extreme-value distributions are important when modeling weather events, such as temperature and rainfall. These distributions are also important for...
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Modeling of the air temperature using the Extreme Value Theory for selected biomes in Mato Grosso do Sul (Brazil)
This paper aims to find probabilities of extreme values of the air temperature for the Cerrado, Pantanal and Atlantic Forest biomes in Mato Grosso do...
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Modelling multidecadal variability in flood frequency using the Two-Component Extreme Value distribution
The Two-Component Extreme Value (TCEV) distribution is traditionally known as the exact distribution of extremes arising from Poissonian occurrence...
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Dependence Between Extreme Rainfall and Extreme Temperature in Senegal
We provide the first statistical analysis of the dependence between maximum rainfall and maximum temperature in Senegal. The data are from twelve...
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A Bayesian hierarchical spatio-temporal model for summer extreme temperatures in Spain
A statistical study was made of the summer extreme temperatures over peninsular Spain in the last forty years. Records from 158 observatories...
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Bivariate Extreme Value Analysis of Rainfall and Temperature in Nigeria
The rising cases of floods and the onset of drought in different parts of Nigeria require urgent attention particularly because Nigeria accommodates...
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Statistical Modelling of Extreme Rainfall Indices using Multivariate Extreme Value Distributions
Multivariate extreme value models are used to investigate the combined behaviour of several weather variables. To investigate joint dependence of...
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Evaluating extreme precipitation in gridded datasets with a novel station database in Morocco
Morocco is a large country with complex terrain and many sparsely populated regions. With a semi-arid climate, it is highly vulnerable to floods...
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Modelling extreme risks for green bond and clean energy
Value at Risk and Expected Shortfall are two traditional tools used to measure extreme risk in financial markets. However, there is little research...
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Determination of extreme wind speed under different wind directions and attack angles with mixed wind climates in mountain terrain
Determining the extreme wind speed and basic wind speed in mountain areas is the fundamental topic in wind-resistant design for engineering...
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Seasonal and Station Effects Modelling to Extreme Temperature Data in South Africa
Extreme value theory has been widely applied to weather variables, and rigorous approaches have also been employed to investigate the seasonality and...
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Comparison of estimation techniques for generalised extreme value (GEV) distribution parameters: a case study with Tasmanian rainfall
Generalised extreme value (GEV) distribution is traditionally applied to model extreme event and their return period. There are three parameters...
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Estimation of return levels with long return periods for extreme sea levels in a time-varying framework
At nuclear power plants, risk analysis concerning environmental extremes is crucial. Based on historical data, estimation of return levels is usually...
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Risk assessment for extreme air pollution events using vine copula
This study proposes an alternative risk assessment approach for evaluating extreme air pollution events through vine copula modeling. Three...
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Non-linear granger causality approach for non-stationary modelling of extreme precipitation
Interactions and feedback between the atmosphere, oceans, and land lead to natural climatic variations responsible for severe weather events such as...
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Assessing the extreme risk spillovers to carbon markets from energy markets: evidence from China
Previous studies point to the impact of energy market on carbon market under normal market conditions, but little is known about the impact under...
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Comparison of data-driven methods for linking extreme precipitation events to local and large-scale meteorological variables
Extreme precipitation events can lead to severe negative consequences for society, the economy, and the environment. It is therefore crucial to...
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Effects of estimation techniques on generalised extreme value distribution (GEVD) parameters and their spatio-temporal variations
The application of generalised extreme value distribution (GEVD) requires the estimation of three parameters. Different researchers adopted different...
