Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 23, issue 6
Articles | Volume 23, issue 6
https://doi.org/10.5194/hess-23-2647-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-23-2647-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 23, issue 6
Research article
 | 
19 Jun 2019
Research article |  | 19 Jun 2019

Sensitivity of hydrological models to temporal and spatial resolutions of rainfall data

Yingchun Huang, András Bárdossy, and Ke Zhang

Viewed

Total article views: 5,644 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,919 1,632 93 5,644 114 145
  • HTML: 3,919
  • PDF: 1,632
  • XML: 93
  • Total: 5,644
  • BibTeX: 114
  • EndNote: 145
Views and downloads (calculated since 22 Oct 2018)
Cumulative views and downloads (calculated since 22 Oct 2018)

Viewed (geographical distribution)

Total article views: 5,644 (including HTML, PDF, and XML) Thereof 5,271 with geography defined and 373 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 27 Nov 2025
Download
Short summary
This study investigates whether higher temporal and spatial resolution of rainfall can lead to improved model performance. Four rainfall datasets were used to drive lumped and distributed HBV models to simulate daily discharges. Results show that a higher temporal resolution of rainfall improves the model performance if the station density is high. A combination of observed high temporal resolution observations with disaggregated daily rainfall leads to further improvement of the tested models.
Read more
Share