Modified temperature index model for estimating the melt water discharge from debris-covered Lirung Glacier, Nepal
In the Nepalese Himalayas, the complex topography, occurrence of debris covered glaciers, and limited data availability creates substantial difficulties for modelling glacier melt. The proper recognition of melt processes governs the accurate estimation of melt water from glacier dominated systems,...
Ausführliche Beschreibung
Autor*in: |
A. Parajuli [verfasserIn] M. B. Chand [verfasserIn] R. B. Kayastha [verfasserIn] J. M. Shea [verfasserIn] P. K. Mool [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2015 |
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Übergeordnetes Werk: |
In: Proceedings of the International Association of Hydrological Sciences - Copernicus Publications, 2017, 368(2015), Seite 409-414 |
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Übergeordnetes Werk: |
volume:368 ; year:2015 ; pages:409-414 |
Links: |
Link aufrufen |
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DOI / URN: |
10.5194/piahs-368-409-2015 |
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Katalog-ID: |
DOAJ025504657 |
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Modified temperature index model for estimating the melt water discharge from debris-covered Lirung Glacier, Nepal |
abstract |
In the Nepalese Himalayas, the complex topography, occurrence of debris covered glaciers, and limited data availability creates substantial difficulties for modelling glacier melt. The proper recognition of melt processes governs the accurate estimation of melt water from glacier dominated systems, even in the presence of debris-covered glaciers. This paper presents a glacier melt model developed for the Lirung sub-basin of Langtang valley, which has both a clean glacier area, 5.86 km<sup<2</sup<, and a debris-covered glacier area, 1.13 km<sup<2</sup<. We use a temperature index approach to estimate sub-daily melt water discharge for a two week period at the end of monsoon, and the melt factor is varied according to the aspect and distributed to each grid processed from the digital elevation model. The model uses easily available data and simple extrapolation techniques capable of generating melt with limited data. The result obtained from this method provides accurate estimate with an R<sup<2</sup< value of 0.89, bias of 0.9% and Nash-Sutcliffe efficiency of 0.86, and suitable in Himalaya where data availability is major issue. |
abstractGer |
In the Nepalese Himalayas, the complex topography, occurrence of debris covered glaciers, and limited data availability creates substantial difficulties for modelling glacier melt. The proper recognition of melt processes governs the accurate estimation of melt water from glacier dominated systems, even in the presence of debris-covered glaciers. This paper presents a glacier melt model developed for the Lirung sub-basin of Langtang valley, which has both a clean glacier area, 5.86 km<sup<2</sup<, and a debris-covered glacier area, 1.13 km<sup<2</sup<. We use a temperature index approach to estimate sub-daily melt water discharge for a two week period at the end of monsoon, and the melt factor is varied according to the aspect and distributed to each grid processed from the digital elevation model. The model uses easily available data and simple extrapolation techniques capable of generating melt with limited data. The result obtained from this method provides accurate estimate with an R<sup<2</sup< value of 0.89, bias of 0.9% and Nash-Sutcliffe efficiency of 0.86, and suitable in Himalaya where data availability is major issue. |
abstract_unstemmed |
In the Nepalese Himalayas, the complex topography, occurrence of debris covered glaciers, and limited data availability creates substantial difficulties for modelling glacier melt. The proper recognition of melt processes governs the accurate estimation of melt water from glacier dominated systems, even in the presence of debris-covered glaciers. This paper presents a glacier melt model developed for the Lirung sub-basin of Langtang valley, which has both a clean glacier area, 5.86 km<sup<2</sup<, and a debris-covered glacier area, 1.13 km<sup<2</sup<. We use a temperature index approach to estimate sub-daily melt water discharge for a two week period at the end of monsoon, and the melt factor is varied according to the aspect and distributed to each grid processed from the digital elevation model. The model uses easily available data and simple extrapolation techniques capable of generating melt with limited data. The result obtained from this method provides accurate estimate with an R<sup<2</sup< value of 0.89, bias of 0.9% and Nash-Sutcliffe efficiency of 0.86, and suitable in Himalaya where data availability is major issue. |
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Modified temperature index model for estimating the melt water discharge from debris-covered Lirung Glacier, Nepal |
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