Vertical profiles of wind gust statistics from a regional reanalysis using multivariate extreme value theory [PDF]
Nonlinear Processes in Geophysics, 2020 Many applications require wind gust estimates at very different atmospheric height levels. For example, the renewable energy sector is interested in wind and gust predictions at the hub height of a wind power plant.
J. Steinheuer +2 more
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Development of large scale inland flood scenarios for disaster response planning based on spatial/temporal conditional probability analysis [PDF]
E3S Web of Conferences, 2016 Extreme event scenarios are useful for civil emergency services to help in developing contingency plans for responding effectively to major flooding incidents.
Wood Elizabeth +6 more
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Multivariate extreme value statistics for risk assessment [PDF]
, 2016 This dissertation consists of three essays about statistical estimation and inference methods concerning extremal events and tail risks. The first essay establishes a natural, semi-parametric estimation procedure for the multivariate half-space depth-based extreme quantile region in arbitrary dimensions.
He, Yi
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Atmospheric condition identification in multivariate data through a metric for total variation [PDF]
Atmospheric Measurement Techniques, 2020 Identification of atmospheric conditions within a multivariable atmospheric data set is a necessary step in the validation of emerging and existing high-fidelity models used to simulate wind plant flows and operation.
N. Hamilton
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Environmental Data Science, 2022 Modeling dependencies between climate extremes is important for climate risk assessment, for instance when allocating emergency management funds. In statistics, multivariate extreme value theory is often used to model spatial extremes.
Younes Boulaguiem +4 more
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Multivariate and Statistical Approaches for the Source Apportionment and Evaluation of Trace Elements Pollution at Mining Areas (Case study: Mehdi Abad Pb/Zn mine) [PDF]
Advances in Environmental Technology, 2020 Mining activities are among the main sources of trace elements in the environment, which constitute a real concern worldwide, especially in developing countries.
Saeed Shojaee Barjoee +5 more
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Spatial assessment of precipitation deficits in the Duero basin (central Spain) with multivariate extreme value statistics [PDF]
Water Resources Research, 2013 Nonirrigated agriculture on the Iberian Peninsula is regularly affected by dry periods that can cause important losses. This paper focuses on the comparison of the classical Standard Precipitation Index (SPI) with a fragility index developed by the multivariate extreme value theory community, which is used to describe monthly precipitation deficits ...
Kallache, M., Naveau, P., Vrac, M.
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Evaluation of the source, distribution and risk of metal contaminated stream sediment
Case Studies in Chemical and Environmental Engineering, 2023 The research was conducted to determine the cause, dispersal, and risk assessment of metal-contaminated sediment. The sediment was collected from the Madna stream.
Omole Isaac Areguamen +8 more
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A note on statistical tests for homogeneities in multivariate extreme value models for block maxima
Environmetrics, 2022 AbstractMathematical theory suggests to model annual or seasonal maxima by the generalized extreme value distribution. In environmental applications like hydrology, record lengths are typically small, whence respective parameter estimators typically exhibit a large variance.
Jona Lilienthal +3 more
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On kernel estimation of the second order rate parameter in multivariate extreme value statistics [PDF]
Statistics & Probability Letters, 2017 We introduce a flexible class of kernel type estimators of a second order parameter appearing in the multivariate extreme value framework. Such an estimator is crucial in order to construct asymptotically unbiased estimators of dependence measures, as e.g. the stable tail dependence function.
Goegebeur, Yuri +2 more
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