[HTML][HTML] Nonstationary weather and water extremes: a review of methods for their detection, attribution, and management

LJ Slater, B Anderson, M Buechel… - Hydrology and Earth …, 2021 - hess.copernicus.org
Hydroclimatic extremes such as intense rainfall, floods, droughts, heatwaves, and wind or
storms have devastating effects each year. One of the key challenges for society is …

Incorporating non-stationarity from climate change into rainfall frequency and intensity-duration-frequency (IDF) curves

KE Schlef, KE Kunkel, C Brown, Y Demissie… - Journal of …, 2023 - Elsevier
Abstract Intensity-duration-frequency (IDF) curves–sometimes also called precipitation
frequency estimates–are used to design urban drainage systems for stormwater control and …

Shifts in flood generation processes exacerbate regional flood anomalies in Europe

L Tarasova, D Lun, R Merz, G Blöschl… - … Earth & Environment, 2023 - nature.com
Anomalies in the frequency of river floods, ie, flood-rich or-poor periods, cause biases in
flood risk estimates and thus make climate adaptation measures less efficient. While …

[HTML][HTML] Untenable nonstationarity: An assessment of the fitness for purpose of trend tests in hydrology

F Serinaldi, CG Kilsby, F Lombardo - Advances in Water Resources, 2018 - Elsevier
The detection and attribution of long-term patterns in hydrological time series have been
important research topics for decades. A significant portion of the literature regards such …

Quantifying changes in future intensity‐duration‐frequency curves using multimodel ensemble simulations

E Ragno, A AghaKouchak, CA Love… - Water Resources …, 2018 - Wiley Online Library
During the last century, we have observed a warming climate with more intense precipitation
extremes in some regions, likely due to increases in the atmosphere's water holding …

[HTML][HTML] Probability distributions of daily rainfall extremes in Lazio and Sicily, Italy, and design rainfall inferences

B Moccia, C Mineo, E Ridolfi, F Russo… - Journal of Hydrology …, 2021 - Elsevier
Study region We investigate samples from two Italian regions, ie Lazio and Sicily, located in
central and south Italy, respectively, and characterized by two diverse climates. Study focus …

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 …

Bivariate return periods and their importance for flood peak and volume estimation

MI Brunner, J Seibert, AC Favre - Wiley Interdisciplinary …, 2016 - Wiley Online Library
Estimates of flood event magnitudes with a certain return period are required for the design
of hydraulic structures. While the return period is clearly defined in a univariate context, its …

Global-scale massive feature extraction from monthly hydroclimatic time series: Statistical characterizations, spatial patterns and hydrological similarity

G Papacharalampous, H Tyralis, SM Papalexiou… - Science of the Total …, 2021 - Elsevier
Hydroclimatic time series analysis focuses on a few feature types (eg, autocorrelations,
trends, extremes), which describe a small portion of the entire information content of the …

Estimation of daily rainfall extremes through the metastatistical extreme value distribution: Uncertainty minimization and implications for trend detection

A Miniussi, M Marani - Water Resources Research, 2020 - Wiley Online Library
The accurate estimation of hydrologic extremes is central to planning and engineering
mitigation and adaptation measures. The traditional extreme value theory is based on often …