Debris thickness of glaciers in the Everest area (Nepal Himalaya) derived from satellite imagery using a nonlinear energy balance model
Debris thickness is an important characteristic of debris-covered glaciers in the Everest region of the Himalayas. The debris thickness controls the melt rates of the glaciers, which has large implications for hydrologic models, the glaciers' response to climate change, and the development of g...
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doaj-1113b49ed25e47fc8434443d94631b852020-11-25T01:16:22ZengCopernicus PublicationsThe Cryosphere1994-04161994-04242014-07-01841317132910.5194/tc-8-1317-2014Debris thickness of glaciers in the Everest area (Nepal Himalaya) derived from satellite imagery using a nonlinear energy balance modelD. R. Rounce0D. C. McKinney1Center for Research in Water Resources, University of Texas at Austin, Austin, Texas, USACenter for Research in Water Resources, University of Texas at Austin, Austin, Texas, USADebris thickness is an important characteristic of debris-covered glaciers in the Everest region of the Himalayas. The debris thickness controls the melt rates of the glaciers, which has large implications for hydrologic models, the glaciers' response to climate change, and the development of glacial lakes. Despite its importance, there is little knowledge of how the debris thickness varies over these glaciers. This paper uses an energy balance model in conjunction with Landsat7 Enhanced Thematic Mapper Plus (ETM+) satellite imagery to derive thermal resistances, which are the debris thickness divided by the thermal conductivity. Model results are reported in terms of debris thickness using an effective thermal conductivity derived from field data. The developed model accounts for the nonlinear temperature gradient in the debris cover to derive reasonable debris thicknesses. Fieldwork performed on Imja–Lhotse Shar Glacier in September 2013 was used to compare to the modeled debris thicknesses. Results indicate that accounting for the nonlinear temperature gradient is crucial. Furthermore, correcting the incoming shortwave radiation term for the effects of topography and resampling to the resolution of the thermal band's pixel is imperative to deriving reasonable debris thicknesses. Since the topographic correction is important, the model will improve with the quality of the digital elevation model (DEM). The main limitation of this work is the poor resolution (60 m) of the satellite's thermal band. The derived debris thicknesses are reasonable at this resolution, but trends related to slope and aspect are unable to be modeled on a finer scale. Nonetheless, the study finds this model derives reasonable debris thicknesses on this scale and was applied to other debris-covered glaciers in the Everest region.http://www.the-cryosphere.net/8/1317/2014/tc-8-1317-2014.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
D. R. Rounce D. C. McKinney |
spellingShingle |
D. R. Rounce D. C. McKinney Debris thickness of glaciers in the Everest area (Nepal Himalaya) derived from satellite imagery using a nonlinear energy balance model The Cryosphere |
author_facet |
D. R. Rounce D. C. McKinney |
author_sort |
D. R. Rounce |
title |
Debris thickness of glaciers in the Everest area (Nepal Himalaya) derived from satellite imagery using a nonlinear energy balance model |
title_short |
Debris thickness of glaciers in the Everest area (Nepal Himalaya) derived from satellite imagery using a nonlinear energy balance model |
title_full |
Debris thickness of glaciers in the Everest area (Nepal Himalaya) derived from satellite imagery using a nonlinear energy balance model |
title_fullStr |
Debris thickness of glaciers in the Everest area (Nepal Himalaya) derived from satellite imagery using a nonlinear energy balance model |
title_full_unstemmed |
Debris thickness of glaciers in the Everest area (Nepal Himalaya) derived from satellite imagery using a nonlinear energy balance model |
title_sort |
debris thickness of glaciers in the everest area (nepal himalaya) derived from satellite imagery using a nonlinear energy balance model |
publisher |
Copernicus Publications |
series |
The Cryosphere |
issn |
1994-0416 1994-0424 |
publishDate |
2014-07-01 |
description |
Debris thickness is an important characteristic of debris-covered glaciers
in the Everest region of the Himalayas. The debris thickness controls the
melt rates of the glaciers, which has large implications for hydrologic
models, the glaciers' response to climate change, and the development of
glacial lakes. Despite its importance, there is little knowledge of how the
debris thickness varies over these glaciers. This paper uses an energy
balance model in conjunction with Landsat7 Enhanced Thematic Mapper Plus (ETM+) satellite imagery to
derive thermal resistances, which are the debris thickness divided by the
thermal conductivity. Model results are reported in terms of debris
thickness using an effective thermal conductivity derived from field data.
The developed model accounts for the nonlinear temperature gradient in the
debris cover to derive reasonable debris thicknesses. Fieldwork performed on
Imja–Lhotse Shar Glacier in September 2013 was used to compare to the
modeled debris thicknesses. Results indicate that accounting for the
nonlinear temperature gradient is crucial. Furthermore, correcting the
incoming shortwave radiation term for the effects of topography and
resampling to the resolution of the thermal band's pixel is imperative to
deriving reasonable debris thicknesses. Since the topographic correction is
important, the model will improve with the quality of the digital elevation model (DEM). The main
limitation of this work is the poor resolution (60 m) of the satellite's
thermal band. The derived debris thicknesses are reasonable at this
resolution, but trends related to slope and aspect are unable to be modeled
on a finer scale. Nonetheless, the study finds this model derives reasonable
debris thicknesses on this scale and was applied to other debris-covered
glaciers in the Everest region. |
url |
http://www.the-cryosphere.net/8/1317/2014/tc-8-1317-2014.pdf |
work_keys_str_mv |
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