Digital Repository

Modelling Debris-Covered Glacier Ablation Using the Simultaneous Heat and Water Transport Model. Part 1: Model Development and Application to North Changri Nup

Show simple item record

dc.contributor.author Winter-Billington, Alex en_US
dc.contributor.author Dadic, Ruzica en_US
dc.contributor.author Moore, R. D. en_US
dc.contributor.author Flerchinger, Gerald en_US
dc.contributor.author Wagnon, Patrick en_US
dc.contributor.author BANERJEE, ARGHA en_US
dc.date.accessioned 2022-09-21T06:26:48Z
dc.date.available 2022-09-21T06:26:48Z
dc.date.issued 2022-08 en_US
dc.identifier.citation Frontiers in Earth Science, 10. en_US
dc.identifier.issn 2296-6463 en_US
dc.identifier.uri https://doi.org/10.3389/feart.2022.796877 en_US
dc.identifier.uri http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/7366
dc.description.abstract Modelling ablation of glacier ice under a layer of mineral debris is increasingly important, because the extent of supraglacial debris is expanding worldwide due to glacier recession. Physically based models have been developed, but the uncertainty in predictions is not yet well constrained. A new one-dimensional model of debris-covered ice ablation that is based on the Simultaneous Heat and Water transfer model is introduced here. SHAW-Glacier is a physically based, vertically integrated, fully coupled, water and energy balance model, which includes the advection of heat by rainwater and lateral flow. SHAW-Glacier was applied to North Changri Nup, a high elevation alpine glacier in the monsoon-dominated Central Himalaya. Simulations were compared with observed debris temperature profiles, snow depth, and ablation stake measurements for debris 0.03–0.41 m thick, in a 2500 m2 study area. Prediction uncertainty was estimated in a Monte Carlo analysis. SHAW-Glacier simulated the characteristic pattern of decreasing ablation with increasing debris thickness. However, the observations of ablation did not follow the characteristic pattern; annual ablation was highest where the debris was thickest. Recursive partitioning revealed a substantial, non-linear sensitivity to the snow threshold air temperature, suggesting a sensitivity to the duration of snow cover. Photographs showed patches of snow persisting through the ablation season, and the observational data were consistent with uneven persistence of snow patches. The analyses indicate that patchy snow cover in the ablation season can overwhelm the sensitivity of sub-debris ablation to debris thickness. Patchy snow cover may be an unquantified source of uncertainty in predictions of sub-debris ablation. en_US
dc.language.iso en en_US
dc.publisher Frontiers Media S.A. en_US
dc.subject Glacier en_US
dc.subject Debris en_US
dc.subject Ablation en_US
dc.subject Model en_US
dc.subject SHAW en_US
dc.subject Physically based en_US
dc.subject Changri Nup en_US
dc.subject 2022-SEP-WEEK1 en_US
dc.subject TOC-SEP-2022 en_US
dc.subject 2022 en_US
dc.title Modelling Debris-Covered Glacier Ablation Using the Simultaneous Heat and Water Transport Model. Part 1: Model Development and Application to North Changri Nup en_US
dc.type Article en_US
dc.contributor.department Dept. of Earth and Climate Science en_US
dc.identifier.sourcetitle Frontiers in Earth Science en_US
dc.publication.originofpublisher Foreign en_US


Files in this item

Files Size Format View

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record

Search Repository


Advanced Search

Browse

My Account