Journal cover Journal topic
Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 4.256 IF 4.256
  • IF 5-year value: 4.819 IF 5-year
    4.819
  • CiteScore value: 4.10 CiteScore
    4.10
  • SNIP value: 1.412 SNIP 1.412
  • SJR value: 2.023 SJR 2.023
  • IPP value: 3.97 IPP 3.97
  • h5-index value: 58 h5-index 58
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 99 Scimago H
    index 99
Discussion papers
https://doi.org/10.5194/hess-2019-102
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-2019-102
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 08 Mar 2019

Research article | 08 Mar 2019

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Hydrology and Earth System Sciences (HESS).

Data analysis and model building for understanding catchment processes: the case study of the Thur catchment

Marco Dal Molin1,2,3, Mario Schirmer2,3, Massimiliano Zappa4, and Fabrizio Fenicia1 Marco Dal Molin et al.
  • 1Department Systems Analysis, Integrated Assessment and Modelling, Eawag, Swiss Federal Institute of Aquatic Science and Technology, 8600 Dübendorf, Switzerland
  • 2The Centre of Hydrogeology and Geothermics (CHYN), University of Neuchâtel, 2000 Neuchâtel, Switzerland
  • 3Department of Water Resources and Drinking Water, Eawag, Swiss Federal Institute of Aquatic Science and Technology, 8600 Dübendorf, Switzerland
  • 4Hydrological Forecast, Swiss Federal Research Institute WSL, 8903 Birmensdorf, Switzerland

Abstract. The development of semidistributed hydrological models that reflect the dominant processes controlling streamflow spatial variability is a challenging task. This study addresses this problem by investigating the case of the Thur catchment (Switzerland), an alpine and pre–alpine catchment that, while having a moderate (1702 km2) extension, presents a large spatial variability in terms of climate, landscape, and streamflow (measured at 10 subcatchments). The methodology for model development consists of a two–stages approach. In a first stage, we use correlation and regression analysis to identify the main influencing factors on the spatial variability of streamflow signatures. Results of this analysis show that precipitation (rainfall or snow) controls signatures of seasonality and water balance, while landscape characteristics (especially geology) control signatures of hydrograph shape (e.g. baseflow index and flashiness index). In a second stage, we use the results of the previous analysis to develop a semidistributed hydrological model that is consistent with the data. Model experiments confirm that only hydrological models that account for the heterogeneity of precipitation and geology produce hydrographs that have signatures similar to the observed ones. These models provide consistent results in space–time validation, which is promising for prediction in ungauged conditions. The presented methodology can be transferred to other case studies, since the data used in this work (meteorological variables, streamflow, morphology and geology maps) is available in many regions around the globe.

Marco Dal Molin et al.
Interactive discussion
Status: open (until 03 May 2019)
Status: open (until 03 May 2019)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
[Subscribe to comment alert] Printer-friendly Version - Printer-friendly version Supplement - Supplement
Marco Dal Molin et al.
Marco Dal Molin et al.
Viewed  
Total article views: 307 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
222 83 2 307 1 3
  • HTML: 222
  • PDF: 83
  • XML: 2
  • Total: 307
  • BibTeX: 1
  • EndNote: 3
Views and downloads (calculated since 08 Mar 2019)
Cumulative views and downloads (calculated since 08 Mar 2019)
Viewed (geographical distribution)  
Total article views: 133 (including HTML, PDF, and XML) Thereof 132 with geography defined and 1 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Cited  
Saved  
No saved metrics found.
Discussed  
No discussed metrics found.
Latest update: 25 Mar 2019
Publications Copernicus
Download
Citation