A comparative assessment of hydrological models in the Upper Cauvery catchment

Horan, Robyn; Gowri, R.; Wable, Pawan S.; Baron, Helen ORCID: https://orcid.org/0000-0003-0070-8247; Keller, Virginie D.J.; Garg, Kaushal K.; Mujumdar, Pradeep P.; Houghton-Carr, Helen; Rees, Gwyn ORCID: https://orcid.org/0000-0003-3300-0472. 2021 A comparative assessment of hydrological models in the Upper Cauvery catchment [in special issue: Modelling hydrologic response of non-homogeneous catchments] Water, 13 (2), 151. 25, pp. https://doi.org/10.3390/w13020151

Before downloading, please read NORA policies.

Preview

Text
N529404JA.pdf - Published Version
Available under License Creative Commons Attribution 4.0.
Download (2MB) | Preview

Official URL: https://doi.org/10.3390/w13020151

Abstract/Summary

This paper presents a comparison of the predictive capability of three hydrological models, and a mean ensemble of these models, in a heavily influenced catchment in Peninsular India: GWAVA (Global Water AVailability Assessment) model, SWAT (Soil Water Assessment Tool) and VIC (Variable Infiltration Capacity) model. The performance of the three models and their ensemble were investigated in five sub-catchments in the upstream reaches of the Cauvery river catchment. Model performances for monthly streamflow simulations from 1983–2005 were analysed using Nash-Sutcliffe efficiency, Kling-Gupta efficiency and percent bias. The predictive capability for each model was compared, and the ability to accurately represent key catchment hydrological processes is discussed. This highlighted the importance of an accurate spatial representation of precipitation for input into hydrological models, and that comprehensive reservoir functionality is paramount to obtaining good results in this region. The performance of the mean ensemble was analysed to determine whether the application of a multi-model ensemble approach can be useful in overcoming the uncertainties associated with individual models. It was demonstrated that the ensemble mean has a better predictive ability in catchments with reservoirs than the individual models, with Nash-Sutcliffe values between 0.49 and 0.92. Therefore, utilising multiple models could be a suitable methodology to offset uncertainty in input data and poor reservoir operation functionality within individual models.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	https://doi.org/10.3390/w13020151
UKCEH and CEH Sections/Science Areas:	Water Resources (Science Area 2017-)
ISSN:	2073-4441
Additional Information. Not used in RCUK Gateway to Research.:	Open Access paper - full text available via Official URL link.
Additional Keywords:	Cauvery, hydrological modelling, VIC, SWAT, GWAVA, ensemble modelling, water resources
NORA Subject Terms:	Hydrology
Date made live:	14 Jan 2021 15:35 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/529404

Item Type:

Publication - Article

Digital Object Identifier (DOI):

https://doi.org/10.3390/w13020151

UKCEH and CEH Sections/Science Areas:

Water Resources (Science Area 2017-)

ISSN:

2073-4441

Additional Information. Not used in RCUK Gateway to Research.:

Open Access paper - full text available via Official URL link.

Additional Keywords:

Cauvery, hydrological modelling, VIC, SWAT, GWAVA, ensemble modelling, water resources