Articles | Volume 27, issue 11
https://doi.org/10.5194/hess-27-2149-2023
https://doi.org/10.5194/hess-27-2149-2023
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

Related authors

Using NDII pattern for a semi-distributed rainfall-runoff model in tropical nested catchments
Nutchanart Sriwongsitanon, Wasana Jandang, Thienchart Suwawong, and Hubert H.~G. Savenije
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2020-82,https://doi.org/10.5194/hess-2020-82, 2020
Manuscript not accepted for further review
Short summary
Comparing the Normalized Difference Infrared Index (NDII) with root zone storage in a lumped conceptual model
Nutchanart Sriwongsitanon, Hongkai Gao, Hubert H. G. Savenije, Ekkarin Maekan, Sirikanya Saengsawang, and Sansarith Thianpopirug
Hydrol. Earth Syst. Sci., 20, 3361–3377, https://doi.org/10.5194/hess-20-3361-2016,https://doi.org/10.5194/hess-20-3361-2016, 2016
Short summary

Related subject area

Subject: Catchment hydrology | Techniques and Approaches: Modelling approaches
On the use of streamflow transformations for hydrological model calibration
Guillaume Thirel, Léonard Santos, Olivier Delaigue, and Charles Perrin
Hydrol. Earth Syst. Sci., 28, 4837–4860, https://doi.org/10.5194/hess-28-4837-2024,https://doi.org/10.5194/hess-28-4837-2024, 2024
Short summary
Simulation-based inference for parameter estimation of complex watershed simulators
Robert Hull, Elena Leonarduzzi, Luis De La Fuente, Hoang Viet Tran, Andrew Bennett, Peter Melchior, Reed M. Maxwell, and Laura E. Condon
Hydrol. Earth Syst. Sci., 28, 4685–4713, https://doi.org/10.5194/hess-28-4685-2024,https://doi.org/10.5194/hess-28-4685-2024, 2024
Short summary
Multi-scale soil moisture data and process-based modeling reveal the importance of lateral groundwater flow in a subarctic catchment
Jari-Pekka Nousu, Kersti Leppä, Hannu Marttila, Pertti Ala-aho, Giulia Mazzotti, Terhikki Manninen, Mika Korkiakoski, Mika Aurela, Annalea Lohila, and Samuli Launiainen
Hydrol. Earth Syst. Sci., 28, 4643–4666, https://doi.org/10.5194/hess-28-4643-2024,https://doi.org/10.5194/hess-28-4643-2024, 2024
Short summary
Catchment response to climatic variability: implications for root zone storage and streamflow predictions
Nienke Tempel, Laurène Bouaziz, Riccardo Taormina, Ellis van Noppen, Jasper Stam, Eric Sprokkereef, and Markus Hrachowitz
Hydrol. Earth Syst. Sci., 28, 4577–4597, https://doi.org/10.5194/hess-28-4577-2024,https://doi.org/10.5194/hess-28-4577-2024, 2024
Short summary
Hybrid hydrological modeling for large alpine basins: a semi-distributed approach
Bu Li, Ting Sun, Fuqiang Tian, Mahmut Tudaji, Li Qin, and Guangheng Ni
Hydrol. Earth Syst. Sci., 28, 4521–4538, https://doi.org/10.5194/hess-28-4521-2024,https://doi.org/10.5194/hess-28-4521-2024, 2024
Short summary

Cited articles

Bao, A. M., Liu, H. L., Chen, X., and Pan, X. l.: The effect of estimating areal rainfall using self-similarity topography method on the simulation accuracy of runoff prediction, Hydrol. Process., 25, 3506–3512, https://doi.org/10.1002/hyp.8078, 2011. 
Bouaziz, L. J. E., Steele-Dunne, S. C., Schellekens, J., Weerts, A. H., Stam, J., Sprokkereef, E., Winsemius, H. H. C., Savenije, H. H. G., and Hrachowitz, M.: Improved understanding of the linkbetween catchment-scale vegetation accessible storage and satellite-derivedSoil Water Index, Water Resour. Res., 56, e2019WR026365, https://doi.org/10.1029/2019WR026365, 2020. 
Boyd, M. J., Bates, B. C., Pilgrim, D. H., and Cordery, I.: WBNM: A General Runoff Routing Model Computer Programs and User Guide, Water Research Laboratory, The University of New South Wales, https://doi.org/10.4225/53/57996b382f17b, 1987. 
Brocca, L., Hasenauer, S., Lacava, T., Melone, F., Moramarco, T., Wagner, W., Dorigo, W., Matgen, P., Martínez-Fernandez, J., and Llorens, P.: Soil moisture estimation through ASCAT and AMSR-E sensors: An intercomparison and validation study across Europe, Remote Sens. Environ., 115, 3390–3408, https://doi.org/10.1016/j.rse.2011.08.003, 2011. 
Carroll, D.: URBS a Rainfall Runoff Routing Model for flood forecasting and design version 4.00, https://www.scribd.com/document/93746264/URBSManualV440 (last access: 15 January 2020), 2004. 
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.