[HTML][HTML] Probability distributions for a quantile mapping technique for a bias correction of precipitation data: A case study to precipitation data under climate change

JH Heo, H Ahn, JY Shin, TR Kjeldsen, C Jeong - Water, 2019 - mdpi.com
The quantile mapping method is a bias correction method that leads to a good performance
in terms of precipitation. Selecting an appropriate probability distribution model is essential …

Extreme rainfall events over Rio de Janeiro State, Brazil: Characterization using probability distribution functions and clustering analysis

AO Lima, GB Lyra, MC Abreu, JF Oliveira-Júnior… - Atmospheric …, 2021 - Elsevier
Extreme rainfall events are likely to become more frequent according to recent scenarios of
climate change. This issue is especially important over regions with complex topography …

Enhanced summer convection explains observed trends in extreme subdaily precipitation in the Eastern Italian Alps

E Dallan, M Borga, M Zaramella… - Geophysical Research …, 2022 - Wiley Online Library
Understanding past changes in precipitation extremes could help us predict their future
dynamics. We present a novel approach for analyzing trends in extremes and attributing …

[HTML][HTML] How well does a convection-permitting regional climate model represent the reverse orographic effect of extreme hourly precipitation?

E Dallan, F Marra, G Fosser, M Marani… - Hydrology and Earth …, 2023 - hess.copernicus.org
Estimating future short-duration extreme precipitation in mountainous regions is
fundamental for risk management. High-resolution convection-permitting models (CPMs) …

[HTML][HTML] Spatio-temporal joint modelling on moderate and extreme air pollution in Spain

K Wang, C Ling, Y Chen, Z Zhang - Environmental and Ecological …, 2023 - Springer
Very unhealthy air quality is consistently connected with numerous diseases. Appropriate
extreme analysis and accurate predictions are in rising demand for exploring potential …

Strategic assessment of dam overtopping reliability using a stochastic process approach

A Sharafati, ZM Yaseen, E Pezeshki - Journal of Hydrologic …, 2020 - ascelibrary.org
Earth-fill dam overtopping could pose significant threats to public safety if the necessary
reliability assessments are not taken into consideration in the design process. Dam …

[HTML][HTML] Gumbel mixture modelling for multiple failure data

M Nagode, S Oman, J Klemenc, B Panić - Reliability Engineering & System …, 2023 - Elsevier
The Gumbel mixture model is a popular tool for modelling extreme events with mixed
formation mechanisms. The lack of a shape parameter in the Gumbel distribution makes it …

Handling the stochastic uncertainty of flood statistics in regionalization approaches

S Fischer, AH Schumann - Hydrological Sciences Journal, 2022 - Taylor & Francis
Regional flood frequency analyses are highly affected by the number of gauged catchments
and lengths of observation periods at the individual gauges. Therefore, information is …

The characterization of extraordinary extreme events (EEEs) for the assessment of design rainfall depths with high return periods

A Pelosi, P Furcolo, F Rossi, P Villani - Hydrological Processes, 2020 - Wiley Online Library
The occurrence of rainfall Extraordinary Extreme Events (EEEs) in Mediterranean areas
causes serious concerns to the engineers involved in the design of flood and landslide risk …

[HTML][HTML] Goodness-of-fit, identifiability and extrapolation: Can the two-component extreme value distribution be used in at-site flood frequency analysis?

V Totaro, G Kuczera, V Iacobellis - Journal of Hydrology, 2024 - Elsevier
When fitting three-parameter flood frequency models to annual maximum (AM) flood series,
the lack-of-fit can be mitigated by censoring potentially influential low flows (PILFs). An …