https://doi.org/10.25678/0001RK

Data for: Understanding dominant controls on streamflow spatial variability to set-up a semi-distributed hydrological model: the case study of the Thur catchment.

This study documents the development of a semi-distributed hydrological model aimed at reflecting the dominant controls on observed streamflow spatial variability. The process is presented through the case study of the Thur catchment (Switzerland, 1702 km2), an alpine and pre–alpine catchment where streamflow (measured at 10 subcatchments) has different spatial characteristics in terms of amounts, seasonal patterns, and dominance of baseflow. In order to appraise the dominant controls on streamflow spatial variability, and build a model that reflects them, we follow a two–stages approach. In a first stage, we identify the main climatic or landscape properties that control the spatial variability of streamflow signatures. This stage is based on correlation analysis, complemented by expert judgment to identify the most plausible cause-effect relationships. In a second stage, the results of the previous analysis are used to develop a set of model experiments aimed at determining an appropriate model representation of the Thur catchment. These experiments confirm that only a hydrological model that accounts for the heterogeneity of precipitation, snow related processes, and landscape features such as geology, produces hydrographs that have signatures similar to the observed ones. This model provides consistent results in space–time validation, which is promising for predictions in ungauged basins. The presented methodology for model building can be transferred to other case studies, since the data used in this work (meteorological variables, streamflow, morphology and geology maps) is available in numerous regions around the globe.

Dataset extent

Data and Resources

Citation

This Data Package

Dal Molin, M., Schirmer, M., Zappa, M., & Fenicia, F. (2020). Data for: Understanding dominant controls on streamflow spatial variability to set-up a semi-distributed hydrological model: the case study of the Thur catchment. [Data set]. Eawag: Swiss Federal Institute of Aquatic Science and Technology. https://doi.org/10.25678/0001RK

The associated article

Dal Molin, M., M. Schirmer, M. Zappa, and F. Fenicia (2020), Understanding dominant controls on streamflow spatial variability to set up a semi-distributed hydrological model: the case study of the Thur catchment, Hydrology and Earth System Sciences, 24(3), 1319–1345, doi:10.5194/hess-24-1319-2020.

Metadata

Open Data Open Data
Author(s)
  • Dal Molin, Marco
  • Schirmer, Mario
  • Zappa, Massimiliano
  • Fenicia, Fabrizio
Keywords modeling,hydrology
Variables
  • discharge
  • precipitation
  • temperature
Systems
  • river
Timerange
  • 1981-01 TO 2005-12
Geographic Name(s)
  • Thur Catchment
Review Level none
Curator Britt, Reto
Contact reto.britt@eawag.ch
DOI 10.25678/0001RK