[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
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 …
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 …
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
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 …
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?
Estimating future short-duration extreme precipitation in mountainous regions is
fundamental for risk management. High-resolution convection-permitting models (CPMs) …
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 …
extreme analysis and accurate predictions are in rising demand for exploring potential …
Strategic assessment of dam overtopping reliability using a stochastic process approach
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 …
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 …
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 …
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
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 …
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 …
the lack-of-fit can be mitigated by censoring potentially influential low flows (PILFs). An …