[HTML][HTML] A brief review of random forests for water scientists and practitioners and their recent history in water resources
Random forests (RF) is a supervised machine learning algorithm, which has recently started
to gain prominence in water resources applications. However, existing applications are …
to gain prominence in water resources applications. However, existing applications are …
[HTML][HTML] Nonstationary weather and water extremes: a review of methods for their detection, attribution, and management
Hydroclimatic extremes such as intense rainfall, floods, droughts, heatwaves, and wind or
storms have devastating effects each year. One of the key challenges for society is …
storms have devastating effects each year. One of the key challenges for society is …
Mitigating prediction error of deep learning streamflow models in large data‐sparse regions with ensemble modeling and soft data
Predicting discharge in contiguously data‐scarce or ungauged regions is needed for
quantifying the global hydrologic cycle. We show that prediction in ungauged regions (PUR) …
quantifying the global hydrologic cycle. We show that prediction in ungauged regions (PUR) …
The data synergy effects of time‐series deep learning models in hydrology
When fitting statistical models to variables in geoscientific disciplines such as hydrology, it is
a customary practice to stratify a large domain into multiple regions (or regimes) and study …
a customary practice to stratify a large domain into multiple regions (or regimes) and study …
Investigating the spatial–temporal changes of flood events across the Yangtze River Basin, China: Identification, spatial heterogeneity, and dominant impact factors
J Yu, L Zou, J **a, Y Zhang, L Zuo, X Li - Journal of Hydrology, 2023 - Elsevier
Flood is one of the most devastating natural hazards and is responsible for sizeable social-
economic losses and substantial fatalities. Flood events with diverse behavior …
economic losses and substantial fatalities. Flood events with diverse behavior …
Why do we have so many different hydrological models? A review based on the case of Switzerland
Hydrology plays a central role in applied and fundamental environmental sciences, but it is
well known to suffer from an overwhelming diversity of models, particularly to simulate …
well known to suffer from an overwhelming diversity of models, particularly to simulate …
[HTML][HTML] Floods and droughts: a multivariate perspective
MI Brunner - Hydrology and Earth System Sciences, 2023 - hess.copernicus.org
Multivariate or compound hydrological-extreme events such as successive floods, large-
scale droughts, or consecutive drought-to-flood events challenge water management and …
scale droughts, or consecutive drought-to-flood events challenge water management and …
Non-parametric, semi-parametric, and machine learning models for river temperature frequency analysis at ungauged basins
River water temperature is essential in regulating many physical and biochemical processes
in river systems. Consequently, it is crucial to develop reliable tools for predicting extreme …
in river systems. Consequently, it is crucial to develop reliable tools for predicting extreme …
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 …
dates, peak discharge, volume, and duration) are the first critical steps for flood analyses. To …
Extremeness of recent drought events in Switzerland: dependence on variable and return period choice
The 2018 drought event had severe ecological, economic, and social impacts. How extreme
was it in Switzerland? We addressed this question by looking at different types of drought …
was it in Switzerland? We addressed this question by looking at different types of drought …