[HTML][HTML] Nonstationary weather and water extremes: a review of methods for their detection, attribution, and management
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 …
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
Abstract Intensity-duration-frequency (IDF) curves–sometimes also called precipitation
frequency estimates–are used to design urban drainage systems for stormwater control and …
frequency estimates–are used to design urban drainage systems for stormwater control and …
Shifts in flood generation processes exacerbate regional flood anomalies in Europe
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 …
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
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 …
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
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 …
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
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 …
central and south Italy, respectively, and characterized by two diverse climates. Study focus …
A generalized framework for process-informed nonstationary extreme value analysis
Evolving climate conditions and anthropogenic factors, such as CO 2 emissions,
urbanization and population growth, can cause changes in weather and climate extremes …
urbanization and population growth, can cause changes in weather and climate extremes …
Bivariate return periods and their importance for flood peak and volume estimation
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 …
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
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 …
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
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 …
mitigation and adaptation measures. The traditional extreme value theory is based on often …