Extreme events in dynamical systems and random walkers: A review

SN Chowdhury, A Ray, SK Dana, D Ghosh - Physics Reports, 2022 - Elsevier
Extreme events gain the attention of researchers due to their utmost importance in various
contexts ranging from climate to brain. An observable that deviates significantly from its long …

[HTML][HTML] Peaks-over-threshold model in flood frequency analysis: a scoping review

X Pan, A Rahman, K Haddad, TBMJ Ouarda - … Research and Risk …, 2022 - Springer
In flood frequency analysis (FFA), annual maximum (AM) model is widely adopted in
practice due to its straightforward sampling process. However, AM model has been criticized …

Developing signals to trigger adaptation to sea-level rise

SA Stephens, RG Bell, J Lawrence - Environmental Research …, 2018 - iopscience.iop.org
Dynamic adaptive policy pathways (DAPP) is emerging as a'fit-for-purpose'method for
climate-change adaptation planning to address widening future uncertainty and long …

Analysis of Alpine precipitation extremes using generalized extreme value theory in convection-resolving climate simulations

N Ban, J Rajczak, J Schmidli, C Schär - Climate Dynamics, 2020 - Springer
We present an analysis of extreme precipitation events in convection-resolving climate
simulations. The simulations are performed with the COSMO-CLM model at 2.2 km …

[HTML][HTML] Detection of trends in flood magnitude and frequency in Canada

SM Zadeh, DH Burn, N O'Brien - Journal of Hydrology: Regional Studies, 2020 - Elsevier
Abstract Changes in flood regimes in Canada were examined using a large-scale dataset of
hydrometric stations from across the country. Significant trends were analysed in time series …

Peaks Over Threshold (POT): A methodology for automatic threshold estimation using goodness of fit p‐value

S Solari, M Egüen, MJ Polo… - Water Resources …, 2017 - Wiley Online Library
Threshold estimation in the Peaks Over Threshold (POT) method and the impact of the
estimation method on the calculation of high return period quantiles and their uncertainty (or …

Automatic procedure for selecting flood events and identifying flood characteristics from daily streamflow data

Q Zhang, L Zhang, D She, S Wang, G Wang… - … Modelling & Software, 2021 - Elsevier
The selection of flood events and determination of flood characteristics (eg start and end
dates, peak discharge, volume, and duration) are the first critical steps for flood analyses. To …

Understanding the impacts of predecessor rain events on flood hazard in a changing climate

A Khatun, P Ganguli, DS Bisht… - Hydrological …, 2022 - Wiley Online Library
This study, for the first time, investigates the physical association between Predecessor Rain
Events (PREs) and peak runoff generation in seven catchments over the Upper Mahanadi …

Data reformation–A novel data processing technique enhancing machine learning applicability for predicting streamflow extremes

VN Tran, VY Ivanov, J Kim - Advances in Water Resources, 2023 - Elsevier
Hydrologists have been actively exploring the utility of machine learning (ML) models for
predicting streamflow. While ML methods have proven to be as accurate as conventional …

An automated threshold selection method based on the characteristic of extrapolated significant wave heights

B Liang, Z Shao, H Li, M Shao, D Lee - Coastal Engineering, 2019 - Elsevier
The reasonable estimation of design wave heights is crucial for coastal and offshore
engineering practices. To obtain sufficient data for model estimation, the peak over threshold …