A new global river network database for macroscale hydrologic modeling

A new global river network database for macroscale hydrologic modeling

Macroscale hydrologic modeling of ecologically relevant flow metrics

[1] Stream hydrology strongly affects the structure of aquatic communities. Changes to air temperature and precipitation driven by increased greenhouse gas concentrations are shifting timing and volume of streamflows potentially affecting these communities. The variable infiltration capacity (VIC) macroscale hydrologic model has been employed at regional scales to describe and forecast hydrolog...

Automated Upscaling of River Networks for Macroscale Hydrological Modeling

Metric-Resolution 2D River Modeling at the Macroscale: Computational Methods and Applications in a Braided River

Metric resolution digital terrain models (DTMs) of rivers now make it possible for multi-dimensional fluid mechanics models to be applied to characterize flow at fine scales that are relevant to studies of river hydraulic geometry (HG) and ecological habitat, or microscales. These developments are important for managing rivers because of the potential to better understand system dynamics, anthr...

Development of a Distributed Artificial Neural Network for Hydrologic Modeling

Hydrological models are used to represent the rainfallrunoff and pollutant transport mechanisms within watersheds. Accurate representation of these dynamic and complex natural processes within a watershed is an important step in managing and protecting a watershed Artificial neural network (ANN) models are often used in hydrologic modeling. Typical ANN models are trained to use lumped data. How...