Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 27, issue 11
Articles | Volume 27, issue 11
https://doi.org/10.5194/hess-27-2149-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-27-2149-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 27, issue 11
Research article
 | 
07 Jun 2023
Research article |  | 07 Jun 2023

Using normalised difference infrared index patterns to constrain semi-distributed rainfall–runoff models in tropical nested catchments

Nutchanart Sriwongsitanon, Wasana Jandang, James Williams, Thienchart Suwawong, Ekkarin Maekan, and Hubert H. G. Savenije

Viewed

Total article views: 3,456 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,581 769 106 3,456 75 114
  • HTML: 2,581
  • PDF: 769
  • XML: 106
  • Total: 3,456
  • BibTeX: 75
  • EndNote: 114
Views and downloads (calculated since 20 Dec 2021)
Cumulative views and downloads (calculated since 20 Dec 2021)

Viewed (geographical distribution)

Total article views: 3,456 (including HTML, PDF, and XML) Thereof 3,278 with geography defined and 178 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 26 Oct 2025
Download
Short summary
We developed predictive semi-distributed rainfall–runoff models for nested sub-catchments in the upper Ping basin, which yielded better or similar performance compared to calibrated lumped models. The normalised difference infrared index proves to be an effective proxy for distributed root zone moisture capacity over sub-catchments and is well correlated with the percentage of evergreen forest. In validation, soil moisture simulations appeared to be highly correlated with the soil wetness index.
Read more
Share