Articles | Volume 27, issue 19
Research article
06 Oct 2023
Research article |  | 06 Oct 2023

Calibrating macroscale hydrological models in poorly gauged and heavily regulated basins

Dung Trung Vu, Thanh Duc Dang, Francesca Pianosi, and Stefano Galelli

Data sets

Codes and data of satellite observations reveal 13 years of reservoir filling strategies, operating rules, and hydrological alterations in the Upper Mekong River Basin D. T. Vu

210520 dtvu2205

Model code and software

VICRes Critical-Infrastructure-Systems-Lab

Short summary
The calibration of hydrological models over extensive spatial domains is often challenged by the lack of data on river discharge and the operations of hydraulic infrastructures. Here, we use satellite data to address the lack of data that could unintentionally bias the calibration process. Our study is underpinned by a computational framework that quantifies this bias and provides a safe approach to the calibration of models in poorly gauged and heavily regulated basins.