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

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

doi:https://doi.org/10.5194/hess-27-2149-2023

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

Data sets

Data Google Drive https://bit.ly/3N3sS9n

Model code and software

Code Google Drive https://bit.ly/3ONm29s

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.