A new analytical model describes how the amount and grain size of sediment transported by rivers influences bedrock channel width, which can be used to predict where rivers will widen or narrow.
Model calibration
How Diverse Observations Improve Groundwater Models
Including diverse observations of exchange fluxes, tracer concentrations and residence times in groundwater model calibration results in more robust predictions than using only classical observations.
Balancing Robustness and Cost in Hydrological Model Optimization
A new study presents a framework for finding the best optimization algorithm.
Calibrating Hydrological Models by Satellite
Hydrological models are usually calibrated using observations of streamflow, but a new method uses remotely sensed land surface temperature for this purpose.
Improving Hydrology Models for a Changing Climate
How can scientists make a hydrology model that can predict water flow in an uncertain future climate?
