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Article

Impact of Catchment Discretization and Imputed Radiation on Model Response: A Case Study from Central Himalayan Catchment

1
Department of Geosciences, University of Oslo, 0315 Oslo, Norway
2
Statkraft As, Lilleaker, 0216 Oslo, Norway
3
Expert Analytics, 0160 Oslo, Norway
*
Author to whom correspondence should be addressed.
Water 2020, 12(9), 2339; https://doi.org/10.3390/w12092339
Received: 11 July 2020 / Revised: 17 August 2020 / Accepted: 18 August 2020 / Published: 20 August 2020
(This article belongs to the Section Hydraulics and Hydrodynamics)
Distributed and semi-distributed hydrological modeling approaches commonly involve the discretization of a catchment into several modeling elements. Although some modeling studies were conducted using triangulated irregular networks (TINs) previously, little attention has been given to assess the impact of TINs as compared to the standard catchment discretization techniques. Here, we examine how different catchment discretization approaches and radiation forcings influence hydrological simulation results. Three catchment discretization methods, i.e., elevation zones (Hypsograph) (HYP), regular square grid (SqGrid), and TIN, were evaluated in a highly steep and glacierized Marsyangdi-2 river catchment, central Himalaya, Nepal. To evaluate the impact of radiation on model response, shortwave radiation was converted using two approaches: one with the measured solar radiation assuming a horizontal surface and another with a translation to slopes. The results indicate that the catchment discretization has a great impact on simulation results. Evaluation of the simulated streamflow value using Nash–Sutcliffe efficiency (NSE) and log-transformed Nash–Sutcliffe efficiency (LnNSE) shows that highest model performance was obtained when using TIN followed by HYP (during the high flow condition) and SqGrid (during the low flow condition). Similar order of precedence in relative model performance was obtained both during the calibration and validation periods. Snow simulated from the TIN-based discretized models was validated with Moderate Resolution Imaging Spectroradiometer (MODIS) snow products. Critical Success Indexes (CSI) between TIN-based discretized model snow simulation and MODIS snow were found satisfactory. Bias in catchment average snow cover area from the models with and without using imputed radiation is less than two percent, but implementation of imputed radiation into the Statkraft Hydrological Forecasting Toolbox (Shyft) gives better CSI with MODIS snow. View Full-Text
Keywords: hydrological modeling; Himalayan catchment; catchment discretization; MODIS snow hydrological modeling; Himalayan catchment; catchment discretization; MODIS snow
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MDPI and ACS Style

Bhattarai, B.C.; Silantyeva, O.; Teweldebrhan, A.T.; Helset, S.; Skavhaug, O.; Burkhart, J.F. Impact of Catchment Discretization and Imputed Radiation on Model Response: A Case Study from Central Himalayan Catchment. Water 2020, 12, 2339. https://doi.org/10.3390/w12092339

AMA Style

Bhattarai BC, Silantyeva O, Teweldebrhan AT, Helset S, Skavhaug O, Burkhart JF. Impact of Catchment Discretization and Imputed Radiation on Model Response: A Case Study from Central Himalayan Catchment. Water. 2020; 12(9):2339. https://doi.org/10.3390/w12092339

Chicago/Turabian Style

Bhattarai, Bikas C., Olga Silantyeva, Aynom T. Teweldebrhan, Sigbjørn Helset, Ola Skavhaug, and John F. Burkhart 2020. "Impact of Catchment Discretization and Imputed Radiation on Model Response: A Case Study from Central Himalayan Catchment" Water 12, no. 9: 2339. https://doi.org/10.3390/w12092339

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