In the context of climate change and urbanization, flood becomes one of the most important
threats to human life, health, and property. Coastal areas gathering large numbers of …

Daily rainfall simulated by General Circulation Models (GCMs) are usually provided on
coarse grids and need some adjustment (ie, bias correction) to meet historical statistics …

Future changes in rainfall patterns induced by climate changes will affect society and
ecosystems, and quantifying these changes is of utmost importance for the management of …

Global climate change and reservoir regulations can alter the natural flow of rivers.
Influenced by these two drivers, flood sequences may no longer satisfy the assumption of …

Historically, flood risk management and flood frequency modeling have been based on
assumption of stationarity, ie, flood probabilities are invariant across years. However, it is …

The estimation of intensity-duration-frequency (IDF) curves for rainfall data comprises a
classical task in hydrology studies to support a variety of water resources projects, including …

Global warming causes a temperature rise and alteration of other meteorological variables
that directly or indirectly affect human comfort. The wet bulb globe temperature (WBGT) …

We estimate local and regional Generalized Extreme Value (GEV) distribution parameters
for flood frequency analysis in a multilevel, hierarchical Bayesian framework, to explicitly …

The joint probability behaviors of extreme hydro-meteorological events, such as droughts,
have been receiving increasing attentions in recent years. Since extreme hydro …

In this study, we propose a regional Bayesian hierarchical model for flood frequency
analysis. The Bayesian method is an alternative to the traditional regional flood frequency …