extRemes 2.0: an extreme value analysis package in R

E Gilleland, RW Katz - Journal of Statistical Software, 2016 - jstatsoft.org
This article describes the extreme value analysis (EVA) R package extRemes version 2.0,
which is completely redesigned from previous versions. The functions primarily provide …

[HTML][HTML] Stationarity is undead: Uncertainty dominates the distribution of extremes

F Serinaldi, CG Kilsby - Advances in Water Resources, 2015 - Elsevier
The increasing effort to develop and apply nonstationary models in hydrologic frequency
analyses under changing environmental conditions can be frustrated when the additional …

Litter quality controls tradeoffs in soil carbon decomposition and replenishment in a subtropical forest

M Lyu, PM Homyak, J **e, J Peñuelas… - Journal of …, 2023 - Wiley Online Library
Species‐rich forests can produce litter of varying carbon (C) and nitrogen (N) composition
(ie quality), which can affect decomposition and play a central role in long‐term soil organic …

A modeler's guide to extreme value software

LR Belzile, C Dutang, PJ Northrop, T Opitz - Extremes, 2023 - Springer
This review paper surveys recent development in software implementations for extreme
value analyses since the publication of Stephenson and Gilleland (Extremes 8: 87–109,) …

A generalized framework for process-informed nonstationary extreme value analysis

E Ragno, A AghaKouchak, L Cheng… - Advances in Water …, 2019 - Elsevier
Evolving climate conditions and anthropogenic factors, such as CO 2 emissions,
urbanization and population growth, can cause changes in weather and climate extremes …

A time-dependent drought index for non-stationary precipitation series

Y Wang, J Li, P Feng, R Hu - Water Resources Management, 2015 - Springer
In a rapidly changing environment, a greater concern about the establishment and
improvement of drought indices is expected. The main goal of this study is to develop and …

Internal validation of near-crashes in naturalistic driving studies: A continuous and multivariate approach

JK Jonasson, H Rootzén - Accident Analysis & Prevention, 2014 - Elsevier
Large naturalistic driving studies give extremely detailed insight into how traffic accidents
happen and what causes them. However, even in very large studies there are only relatively …

Frequency of recurrent extremes under nonstationarity

J Obeysekera, JD Salas - Journal of Hydrologic Engineering, 2016 - ascelibrary.org
The concepts and methods for planning and design of hydraulic structures subject to
hydrologic extreme events that arise from nonstationary conditions have emerged in the last …

evgam: An R package for generalized additive extreme value models

BD Youngman - Journal of Statistical Software, 2022 - jstatsoft.org
This article introduces the R package evgam. The package provides functions for fitting
extreme value distributions. These include the generalized extreme value and generalized …

Non-stationary frequency analysis of extreme water level: application of annual maximum series and peak-over threshold approaches

A Razmi, S Golian, Z Zahmatkesh - Water resources management, 2017 - Springer
A great challenge has been appeared on if the assumption of data stationary for flood
frequency analysis is justifiable. Results for frequency analysis (FA) could be substantially …