Lu, Y., Yang, K., Lu, X. et al. (5 more authors) (2020) Diverse supraglacial drainage patterns on the Devon ice Cap, Arctic Canada. Journal of Maps, 16 (2). pp. 834-846. ISSN 1744-5647
Abstract
The Devon Ice Cap (DIC) is one of the largest ice masses in the Canadian Arctic. Each summer, extensive supraglacial river networks develop on the DIC surface and route large volumes of meltwater from ice caps to the ocean. Mapping their extent and understanding their temporal evolution are important for validating runoff routing and melt volumes predicted by regional climate models (RCMs). We use 10 m Sentinel-2 images captured on 28 July and 10/11 August 2016 to map supraglacial rivers across the entire DIC (12,100 km2). Both dendritic and parallel supraglacial drainage patterns are found, with a total length of 44,941 km and a mean drainage density (Dd ) of 3.71 km−1. As the melt season progresses, Dd increases and supraglacial rivers form at progressively higher elevations. There is a positive correlation between RCM-derived surface runoff and satellite-mapped Dd , suggesting that supraglacial drainage density is primarily controlled by surface runoff.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group on behalf of Journal of Maps. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
Keywords: | Supraglacial rivers; regional climate model (RCM); Sentinel-2; Devon ice Cap; Arctic |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > Department of Geography (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 21 Oct 2020 14:50 |
Last Modified: | 20 Nov 2020 17:22 |
Status: | Published |
Publisher: | Taylor & Francis Open |
Refereed: | Yes |
Identification Number: | 10.1080/17445647.2020.1838353 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:166803 |