Showing items 1 - 20 of 122

Goodness-of-fit, identifiability and extrapolation: Can the Two-Component Extreme Value distribution be used in at-site flood frequency analysis

Modelling multidecadal variability in flood frequency using the Two-Component Extreme Value distribution

Beyond engineering: A review of reservoir management through the lens of wickedness, competing objectives and uncertainty

And we thought the Millennium Drought was bad: Assessing climate variability and change impacts on an Australian dryland wetland using an ecohydrologic emulator

Can Gauss-Newton Algorithms Outperform Stochastic Optimization Algorithms When Calibrating a Highly Parameterized Hydrological Model? A Case Study Using SWAT

Seamless streamflow forecasting at daily to monthly scales: MuTHRE lets you have your cake and eat it too

Improving the Reliability of Sub-Seasonal Forecasts of High and Low Flows by Using a Flow-Dependent Nonparametric Model

Remote sensing's role in improving transboundary water regulation and compliance: The Murray-Darling Basin, Australia

Stochastic generation of future hydroclimate using temperature as a climate change covariate

Multi-temporal hydrological residual error modeling for seamless subseasonal streamflow forecasting

Patch organization and resilience of dryland wetlands

Resilience to drought of dryland wetlands threatened by climate change

Benefits of explicit treatment of zero flows in probabilistic hydrological modeling of ephemeral catchments

Detecting inundation thresholds for dryland wetland vulnerability

Predicting the resilience of dryland wetlands affected by droughts

Spatial variation of correlations between vertical soil water and evapotranspiration and their controlling factors in a semi-arid region

Top-down seasonal streamflow model with spatiotemporal forest sapwood area

A robust Gauss-Newton algorithm for the optimization of hydrological models: benchmarking against industry-standard algorithms

A robust Gauss-Newton algorithm for the optimization of hydrological models: from standard Gauss-Newton to robust Gauss-Newton

A simplified approach to produce probabilistic hydrological model predictions

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