Value of data in hydrological modelling
The management of water resources such as ensuring the supply of drinking water, the prevention of flood hazards, the reduction of ecosystem degradation, etc. often relies on accurate and reliable estimates of runoff in a certain catchment. In order to provide the required runoff information different types of rainfall-runoff models can be used. But in many cases the catchment of interest is poorly gauged or even ungauged which makes the calibration and the application of models difficult.
My PhD project focuses on the calibration of a bucket-type runoff model (HBV) in such ungauged catchments. Based on the assumption that a limited number of runoff measurements can be taken, I evaluate their value for calibration. The goal is to define runoff sampling strategies for catchments with different hydroclimatologic characteristics.
Contact: Sandra Pool (email@example.com)
Supervisor: Prof. Dr. Jan Seibert (firstname.lastname@example.org)
Co-supervisor: Dr. Daniel Viviroli (email@example.com) and PD Dr. Christian Huggel (firstname.lastname@example.org)