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 …
Spatial and temporal characterization of standard duration-maximum precipitation over Black Sea Region in Turkey
This study characterises the spatial and temporal behaviours of maximum precipitation over
the Black Sea Region in northern Turkey. Maximum precipitation data of 14 standard …
the Black Sea Region in northern Turkey. Maximum precipitation data of 14 standard …
A vine copula‐based ensemble projection of precipitation intensity–duration–frequency curves at sub‐daily to multi‐day time scales
Precipitation intensity–duration–frequency (IDF) curves play a crucial role in the design and
planning of urban infrastructure to reduce the risk of urban flooding and rainfall‐triggered …
planning of urban infrastructure to reduce the risk of urban flooding and rainfall‐triggered …
[HTML][HTML] Analysis of stationary and non-stationary hydrological extremes under a changing environment: A systematic review
MB Twinomuhangi, Y Bamutaze, I Kabenge… - HydroResearch, 2025 - Elsevier
Research on hydrological extremes has increased due to their increasing frequency and
destructive power, with their non-stationarity attributed to human activities and climate …
destructive power, with their non-stationarity attributed to human activities and climate …
Nonstationary bayesian modeling of precipitation extremes in the Bei**g-Tian**-Hebei Region, China
This paper investigates the nonstationarity of precipitation extremes by incorporating time-
varying and physical-based explanatory covariates, using daily precipitation data across the …
varying and physical-based explanatory covariates, using daily precipitation data across the …
Assessment of nonstationarity and uncertainty in precipitation extremes of a river basin under climate change
In this study, an uncertainty analysis of extreme precipitation return levels was performed for
the Chaliyar river basin, India, under representative concentration pathways (RCPs) 4.5 and …
the Chaliyar river basin, India, under representative concentration pathways (RCPs) 4.5 and …
Evaluation of non-stationarity in summer precipitation and the response of vegetation over the typical steppe in Inner Mongolia
Y Wang, L Duan, T Liu, Y Luo, D Li, X Tong, W Li… - Climate Dynamics, 2021 - Springer
The typical steppe in Inner Mongolia is an important component of the Eurasian steppes. It
plays a dominant role in preventing desertification and against sandstorms, but highly …
plays a dominant role in preventing desertification and against sandstorms, but highly …
[HTML][HTML] Improvement of extreme value modeling for extreme rainfall using Large-scale climate modes and considering model uncertainty
Extreme value modeling for extreme rainfall is one of the most important processes in the
field of hydrology. For the improvement of extreme value modeling and its physical meaning …
field of hydrology. For the improvement of extreme value modeling and its physical meaning …
Impacts of climate change on the intensity-duration-frequency curves of two urbanized areas in Brazil using the high-resolution Eta atmospheric model
In Brazil, little is known about climate change impacts on extreme events at local scale.
Here, we explored ways of communicating it, in the form of intensity-duration-frequency (IDF) …
Here, we explored ways of communicating it, in the form of intensity-duration-frequency (IDF) …
Comparison of nonstationary regional flood frequency analysis techniques based on the index-flood approach
Regional flood frequency analysis (RFFA) techniques are used in hydrological applications
for estimation of design quantiles at ungauged sites or catchments with sparse observational …
for estimation of design quantiles at ungauged sites or catchments with sparse observational …