Coupling the Glacio-hydrological Degree-day Model (GDM) with PCRaster for spatial dynamic modeling of Himalayan river basins

<p>We have seen a surge in glacio-hydrological modeling efforts in the past few decades. This form of modeling is also being carried out in the Himalayan river basins, but a comprehensive high-resolution simulation software that can be effective with a limited number of hydrometeorological dat...

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Main Authors: K. L. Shrestha, R. B. Kayastha, R. Kayastha
Format: Article
Language:English
Published: Copernicus Publications 2024-11-01
Series:Proceedings of the International Association of Hydrological Sciences
Online Access:https://piahs.copernicus.org/articles/387/25/2024/piahs-387-25-2024.pdf
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author K. L. Shrestha
R. B. Kayastha
R. Kayastha
author_facet K. L. Shrestha
R. B. Kayastha
R. Kayastha
author_sort K. L. Shrestha
collection DOAJ
description <p>We have seen a surge in glacio-hydrological modeling efforts in the past few decades. This form of modeling is also being carried out in the Himalayan river basins, but a comprehensive high-resolution simulation software that can be effective with a limited number of hydrometeorological data is recommended. In this regard, an open-source, scalable, flexible, and distributed modeling system called PyGDM has been developed by fully coupling the Glacio-hydrological Degree-day Model with PCRaster Python software. To evaluate the potential of using this model in the Himalayan river basins, we calibrated and then validated the model for Trishuli River basin using geographical data and the existing hydrometeorological data. The tests showed a promising result with respect to the effective application of the model in the entire Himalayan region. The PyGDM source code was optimized and adapted to the process models of glacier melting and hydrological processes in Himalayan basins. It increased the speed of the simulation, made the model highly scalable to accommodate new submodels, and enhanced the flexibility of the model to ingest various types of input data and parameters. Hence, the PyGDM model strives to simulate the glacio-hydrological processes of the entire Himalayan region.</p>
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id doaj-art-62f51db788174c34afe3c9f93f1488b7
institution Kabale University
issn 2199-8981
2199-899X
language English
publishDate 2024-11-01
publisher Copernicus Publications
record_format Article
series Proceedings of the International Association of Hydrological Sciences
spelling doaj-art-62f51db788174c34afe3c9f93f1488b72024-11-18T10:43:17ZengCopernicus PublicationsProceedings of the International Association of Hydrological Sciences2199-89812199-899X2024-11-01387253110.5194/piahs-387-25-2024Coupling the Glacio-hydrological Degree-day Model (GDM) with PCRaster for spatial dynamic modeling of Himalayan river basinsK. L. Shrestha0R. B. Kayastha1R. Kayastha2Department of Chemical Science and Engineering, School of Engineering, Kathmandu University, Dhulikhel, NepalHimalayan Cryosphere, Climate and Disaster Research Center (HiCCDRC), Department of Environmental Science and Engineering, School of Science, Kathmandu University, Dhulikhel, NepalHimalayan Cryosphere, Climate and Disaster Research Center (HiCCDRC), Department of Environmental Science and Engineering, School of Science, Kathmandu University, Dhulikhel, Nepal<p>We have seen a surge in glacio-hydrological modeling efforts in the past few decades. This form of modeling is also being carried out in the Himalayan river basins, but a comprehensive high-resolution simulation software that can be effective with a limited number of hydrometeorological data is recommended. In this regard, an open-source, scalable, flexible, and distributed modeling system called PyGDM has been developed by fully coupling the Glacio-hydrological Degree-day Model with PCRaster Python software. To evaluate the potential of using this model in the Himalayan river basins, we calibrated and then validated the model for Trishuli River basin using geographical data and the existing hydrometeorological data. The tests showed a promising result with respect to the effective application of the model in the entire Himalayan region. The PyGDM source code was optimized and adapted to the process models of glacier melting and hydrological processes in Himalayan basins. It increased the speed of the simulation, made the model highly scalable to accommodate new submodels, and enhanced the flexibility of the model to ingest various types of input data and parameters. Hence, the PyGDM model strives to simulate the glacio-hydrological processes of the entire Himalayan region.</p>https://piahs.copernicus.org/articles/387/25/2024/piahs-387-25-2024.pdf
spellingShingle K. L. Shrestha
R. B. Kayastha
R. Kayastha
Coupling the Glacio-hydrological Degree-day Model (GDM) with PCRaster for spatial dynamic modeling of Himalayan river basins
Proceedings of the International Association of Hydrological Sciences
title Coupling the Glacio-hydrological Degree-day Model (GDM) with PCRaster for spatial dynamic modeling of Himalayan river basins
title_full Coupling the Glacio-hydrological Degree-day Model (GDM) with PCRaster for spatial dynamic modeling of Himalayan river basins
title_fullStr Coupling the Glacio-hydrological Degree-day Model (GDM) with PCRaster for spatial dynamic modeling of Himalayan river basins
title_full_unstemmed Coupling the Glacio-hydrological Degree-day Model (GDM) with PCRaster for spatial dynamic modeling of Himalayan river basins
title_short Coupling the Glacio-hydrological Degree-day Model (GDM) with PCRaster for spatial dynamic modeling of Himalayan river basins
title_sort coupling the glacio hydrological degree day model gdm with pcraster for spatial dynamic modeling of himalayan river basins
url https://piahs.copernicus.org/articles/387/25/2024/piahs-387-25-2024.pdf
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AT rbkayastha couplingtheglaciohydrologicaldegreedaymodelgdmwithpcrasterforspatialdynamicmodelingofhimalayanriverbasins
AT rkayastha couplingtheglaciohydrologicaldegreedaymodelgdmwithpcrasterforspatialdynamicmodelingofhimalayanriverbasins