Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 25, issue 2
Articles | Volume 25, issue 2
https://doi.org/10.5194/hess-25-945-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-25-945-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 25, issue 2
Research article
 | 
24 Feb 2021
Research article |  | 24 Feb 2021

Diagnosis toward predicting mean annual runoff in ungauged basins

Yuan Gao, Lili Yao, Ni-Bin Chang, and Dingbao Wang

Viewed

Total article views: 2,553 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,723 745 85 2,553 76 106
  • HTML: 1,723
  • PDF: 745
  • XML: 85
  • Total: 2,553
  • BibTeX: 76
  • EndNote: 106
Views and downloads (calculated since 20 Jul 2020)
Cumulative views and downloads (calculated since 20 Jul 2020)

Viewed (geographical distribution)

Total article views: 2,553 (including HTML, PDF, and XML) Thereof 2,297 with geography defined and 256 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 25 Nov 2025
Download
Short summary
Mean annual runoff prediction is of great interest but still poses a challenge in ungauged basins. The purpose of this study is to diagnose the data requirement for predicting mean annual runoff in ungauged basins based on a water balance model, in which the effects of climate variability are explicitly represented. The performance of predicting mean annual runoff can be improved by employing better estimation of soil water storage capacity including the effects of soil, topography, and bedrock.
Read more
Share