Investigating the Role of Shrub Height and Topography in Snow Accumulation on Low-Arctic Tundra using UAV-Borne Lidar

© 2023 American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).

Detalhes bibliográficos
Autores: Lamare, Maxim, Domine, Florent, Revuelto, Jesús, Pelletier, Maude, Arnaud, Laurent, Picard, Ghislain
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2023
País:España
Recursos:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/345033
Acesso em linha:http://hdl.handle.net/10261/345033
Access Level:acceso abierto
Palavra-chave:Complex terrain
Snow
Vegetation
Snow cover
Lidars/Lidar observations
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dc.title.none.fl_str_mv Investigating the Role of Shrub Height and Topography in Snow Accumulation on Low-Arctic Tundra using UAV-Borne Lidar
title Investigating the Role of Shrub Height and Topography in Snow Accumulation on Low-Arctic Tundra using UAV-Borne Lidar
spellingShingle Investigating the Role of Shrub Height and Topography in Snow Accumulation on Low-Arctic Tundra using UAV-Borne Lidar
Lamare, Maxim
Complex terrain
Snow
Vegetation
Snow cover
Lidars/Lidar observations
title_short Investigating the Role of Shrub Height and Topography in Snow Accumulation on Low-Arctic Tundra using UAV-Borne Lidar
title_full Investigating the Role of Shrub Height and Topography in Snow Accumulation on Low-Arctic Tundra using UAV-Borne Lidar
title_fullStr Investigating the Role of Shrub Height and Topography in Snow Accumulation on Low-Arctic Tundra using UAV-Borne Lidar
title_full_unstemmed Investigating the Role of Shrub Height and Topography in Snow Accumulation on Low-Arctic Tundra using UAV-Borne Lidar
title_sort Investigating the Role of Shrub Height and Topography in Snow Accumulation on Low-Arctic Tundra using UAV-Borne Lidar
dc.creator.none.fl_str_mv Lamare, Maxim
Domine, Florent
Revuelto, Jesús
Pelletier, Maude
Arnaud, Laurent
Picard, Ghislain
author Lamare, Maxim
author_facet Lamare, Maxim
Domine, Florent
Revuelto, Jesús
Pelletier, Maude
Arnaud, Laurent
Picard, Ghislain
author_role author
author2 Domine, Florent
Revuelto, Jesús
Pelletier, Maude
Arnaud, Laurent
Picard, Ghislain
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Natural Sciences and Engineering Research Council of Canada
Fondation BNP Paribas
Institut Polaire Français Paul Emile Victor
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Complex terrain
Snow
Vegetation
Snow cover
Lidars/Lidar observations
topic Complex terrain
Snow
Vegetation
Snow cover
Lidars/Lidar observations
description © 2023 American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).
publishDate 2023
dc.date.none.fl_str_mv 2023
2024
2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/345033
url http://hdl.handle.net/10261/345033
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Lamare, Maxim; Domine, Florent; Revuelto, Jesús; Pelletier, Maude; Arnaud, Laurent; Picard, Ghislain; 2022; UAV-borne lidar campaign over Umiuaq, Hudson Bay, Canada in 2017 and 2018 [dataset]; PANGAEA; https://doi.org/10.1594/PANGAEA.943854
The codes used for the analysis are at https://github.com/maximlamare/umiujaq.
Meteorological data since 2012 except wind direction are reported in Lackner et al. (2022).
Wind direction at 10-m height is available at https://nordicana.cen.ulaval.ca/dpage.aspx?doi=45120SL-067305A53E914AF0.
Topographic maps of Canada with 20-m contour lines are available at https://atlas.gc.ca/toporama/en/index.html.
https://doi.org/10.1175/JHM-D-22-0067.1
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv American Meteorological Society
publisher.none.fl_str_mv American Meteorological Society
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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spelling Investigating the Role of Shrub Height and Topography in Snow Accumulation on Low-Arctic Tundra using UAV-Borne LidarLamare, MaximDomine, FlorentRevuelto, JesúsPelletier, MaudeArnaud, LaurentPicard, GhislainComplex terrainSnowVegetationSnow coverLidars/Lidar observations© 2023 American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).Expanding shrubs in the Arctic trap blowing snow, increasing snow height and accelerating permafrost warming. Topography also affects snow height as snow accumulates in hollows. The respective roles of topography and erect vegetation in snow accumulation were investigated using a UAV-borne lidar at two nearby contrasted sites in northern Quebec, Canada. The North site featured tall vegetation up to 2.5 m high, moderate snow height, and smooth topography. The South site featured lower vegetation, greater snow height, and rougher topography. There was little correlation between topography and vegetation height at both sites. Vegetation lower than snow height had very little effect on snow height. When vegetation protruded above the snow, snow height was well correlated with vegetation height. The topographic position index (TPI) was well correlated with snow height when it was not masked by the effect of protruding vegetation. The North site with taller vegetation therefore showed a good correlation between vegetation height and snow height, R2 = 0.37, versus R2 = 0.04 at the South site. Regarding topography, the reverse was observed between TPI and snow height, with R2 = 0.29 at the North site and R2 = 0.67 at the South site. The combination of vegetation height and TPI improved the prediction of snow height at the North site (R2 = 0.59) but not at the South site because vegetation height has little influence there. Vegetation was therefore the main factor determining snow height when it protruded above the snow. When it did not protrude, snow height was mostly determined by topography.[Significance Statement] Wind-induced snow drifting is a major snow redistribution process in the Arctic. Shrubs trap drifting snow, and drifting snow accumulates in hollows. Determining the respective roles of both these processes in snow accumulation is required to predict permafrost temperature and its emission of greenhouse gases, because thicker snow limits permafrost winter cooling. Using a UAV-borne lidar, we have determined snow height distribution over two contrasted sites in the Canadian low Arctic, with varied vegetation height and topography. When snow height exceeds vegetation height, topography is a good predictor of snow height, with negligible effect of buried vegetation. When vegetation protrudes above the snow, combining both topography and vegetation height is required for a good prediction of snow height.This work was funded by the Natural Sciences and Engineering Research Council of Canada (NSERC discovery grant to FD), the BNP-Paribas Foundation (APT project) and the French Polar Institute (IPEV Grant 1042).Peer reviewedAmerican Meteorological SocietyNatural Sciences and Engineering Research Council of CanadaFondation BNP ParibasInstitut Polaire Français Paul Emile VictorConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202420242023info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10261/345033reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)InglésLamare, Maxim; Domine, Florent; Revuelto, Jesús; Pelletier, Maude; Arnaud, Laurent; Picard, Ghislain; 2022; UAV-borne lidar campaign over Umiuaq, Hudson Bay, Canada in 2017 and 2018 [dataset]; PANGAEA; https://doi.org/10.1594/PANGAEA.943854The codes used for the analysis are at https://github.com/maximlamare/umiujaq.Meteorological data since 2012 except wind direction are reported in Lackner et al. (2022).Wind direction at 10-m height is available at https://nordicana.cen.ulaval.ca/dpage.aspx?doi=45120SL-067305A53E914AF0.Topographic maps of Canada with 20-m contour lines are available at https://atlas.gc.ca/toporama/en/index.html.https://doi.org/10.1175/JHM-D-22-0067.1Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3450332026-05-22T06:33:51Z
score 15,812429

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