Flood trends in Europe: are changes in small and big floods different?
Recent studies have revealed evidence of trends in the median or mean flood discharge in
Europe over the last 5 decades, with clear and coherent regional patterns. The aim of this …
Europe over the last 5 decades, with clear and coherent regional patterns. The aim of this …
A generalized framework for process-informed nonstationary extreme value analysis
Evolving climate conditions and anthropogenic factors, such as CO 2 emissions,
urbanization and population growth, can cause changes in weather and climate extremes …
urbanization and population growth, can cause changes in weather and climate extremes …
Estimation of flood frequency using statistical method: Mahanadi River basin, India
Estimating stream flow has a substantial financial influence, because this can be of
assistance in water resources management and provides safety from scarcity of water and …
assistance in water resources management and provides safety from scarcity of water and …
Spatial-temporal multivariate semi-Bayesian hierarchical framework for extreme precipitation frequency analysis
We present a semi-Bayesian hierarchical modeling framework for conducting space–time
frequency analysis of precipitation extremes over a large domain. In this framework, the data …
frequency analysis of precipitation extremes over a large domain. In this framework, the data …
How to explain and predict the shape parameter of the generalized extreme value distribution of streamflow extremes using a big dataset
The finding of important explanatory variables for the location and scale parameters of the
generalized extreme value (GEV) distribution, when the latter is used for the modelling of …
generalized extreme value (GEV) distribution, when the latter is used for the modelling of …
A deep learning synthetic likelihood approximation of a non-stationary spatial model for extreme streamflow forecasting
Extreme streamflow is a key indicator of flood risk, and quantifying the changes in its
distribution under non-stationary climate conditions is key to mitigating the impact of flooding …
distribution under non-stationary climate conditions is key to mitigating the impact of flooding …
A Bayesian hierarchical network model for daily streamflow ensemble forecasting
Abstract A novel Bayesian Hierarchical Network Model (BHNM) for ensemble forecasts of
daily streamflow is presented that uses the spatial dependence induced by the river network …
daily streamflow is presented that uses the spatial dependence induced by the river network …
Explaining the flood behavior for the bridge collapse sites
Given the increasing intensity and frequency of flood events, and the casualties and cost
associated with bridge collapse events, explaining the flood behavior for the collapse sites …
associated with bridge collapse events, explaining the flood behavior for the collapse sites …
A Bayesian partial pooling approach to mean field bias correction of weather radar rainfall estimates: Application to Osungsan weather radar in South Korea
The use of radar rainfall estimates has been limited by the lack of a reliable method of
obtaining operationally accurate radar-based rainfall estimates and the associated potential …
obtaining operationally accurate radar-based rainfall estimates and the associated potential …
A review on the scaling properties in maximum rainfall marginal distributions: theoretical background, probabilistic modeling, and recent developments
The modeling of sub-daily extreme rainfall has long constituted a challenge for hydrologists
in view of the limited availability of data, both in time and space. In this context, the scale …
in view of the limited availability of data, both in time and space. In this context, the scale …