Results 11 to 20 of about 4,229,164 (393)

Non-stationary extreme value analysis of sea states based on linear trends. Analysis of annual maxima series of significant wave height and peak period in the Mediterranean Sea

Coastal Engineering, 2021
Non-stationary Extreme Value Analysis (NEVA) allows to determine the probability of exceedance of extreme sea states taking into account trends in the time series of data at hand.
F. De Leo, G. Besio, R. Briganti, E. Vanem   +3 more
semanticscholar   +3 more sources

An improved method of extreme value analysis

Journal of Hydrology X, 2019
An improved method to estimate the probability of extreme events from independent observations is presented. The method, called VWLS, is based on minimizing the variance of order-ranked observations plotted according to their true probability and ...
Lasse Makkonen, Maria Tikanmäki
doaj   +2 more sources

Extreme Value Analysis of Metocean Data for Barents Sea

한국해양공학회지, 2020
An extreme value analysis of metocean data which include wave, wind, and current data is a prerequisite for the operation and survival of offshore structures.
Sung Boo Park, Seong Yun Shin, Da Gyun Shin, Kwang Hyo Jung, Yong Ho Choi, Jaeyong Lee, Seung Jae Lee   +6 more
doaj   +2 more sources

Extremes.jl: Extreme Value Analysis in Julia

Journal of Statistical Software
The Extremes.jl package provides exhaustive, high-performance functions by leveraging the multiple-dispatch capabilities in Julia for the analysis of extreme values.
Jonathan Jalbert, Marilou Farmer, Gabriel Gobeil, Philippe Roy   +3 more
doaj   +4 more sources

Nonstationary extreme value analysis of temperature extremes in China [PDF]

Stochastic Environmental Research and Risk Assessment, 2017
In a changing climate, the common assumption of stationarity of climate extremes has been increasingly challenged, raising the need to incorporate non-stationarity in extreme value modeling. In this study, quantile regression is used to identify the trends of annual temperature extremes and their correlations with two large climate patterns, the ...
Meng Gao, Hongzhen Zheng
openaire   +2 more sources

The importance of context in extreme value analysis with application to extreme temperatures in the USA and Greenland

Journal of the Royal Statistical Society, Series C: Applied Statistics, 2023
Statistical extreme value models allow estimation of the frequency, magnitude and spatio-temporal extent of extreme temperature events in the presence of climate change.
D. Clarkson, E. Eastoe, A. Leeson
semanticscholar   +1 more source

Where does the link between atmospheric moisture transport and extreme precipitation matter?

Weather and Climate Extremes, 2023
Atmospheric moisture transport is the primary component of the atmospheric branch of the water cycle, and its anomalies strongly influence drought and precipitation extremes. We utilised the full geographical and temporal spectrum of the ERA-5 reanalysis
Luis Gimeno-Sotelo, Luis Gimeno
doaj   +1 more source

Reliability of Extreme Wind Speeds Predicted by Extreme-Value Analysis

Meteorology, 2023
The reliability of extreme wind speed predictions at large mean recurrence intervals (MRI) is assessed by bootstrapping samples from representative known distributions.
Nicholas John Cook
doaj   +1 more source

Extreme value analysis dilemma for climate change impact assessment on global flood and extreme precipitation

, 2021
A reliable estimation of hydrological extremes with potentially severe socio-economic impacts is of crucial importance for efficient planning and design of hydraulic structures.
H. Tabari
semanticscholar   +1 more source

Uncertainties in return values from extreme value analysis of peaks over threshold using the generalised Pareto distribution

Ocean Engineering, 2021
We consider the estimation of return values in the presence of uncertain extreme value model parameters, using maximum likelihood and other estimation schemes.
P. Jonathan, D. Randell, J. Wadsworth, J. Tawn   +3 more
semanticscholar   +1 more source