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dc.date.accessioned2024-03-08T16:18:47Z
dc.date.available2024-03-08T16:18:47Z
dc.date.created2024-02-13T15:15:13Z
dc.date.issued2023
dc.identifier.citationSicart, Jean Emmanuel Ramseyer, Victor Picard, Ghislain Arnaud, Laurent Coulaud, Catherine Freche, Guilhem Soubeyrand, Damien Lejeune, Yves Gouttevin, Isabelle Le Gac, Erwan Berger, Frédéric Monnet, Jean-Matthieu Borgniet, Laurent Mermin, Éric Rutter, Nick Webster, Clare Essery, Richard . Snow accumulation and ablation measurements in a midlatitude mountain coniferous forest (Col de Porte, France, 1325 m altitude): the Snow Under Forest (SnoUF) field campaign data set. Earth System Science Data. 2023
dc.identifier.urihttp://hdl.handle.net/10852/109285
dc.description.abstractForests strongly modify the accumulation, metamorphism and melting of snow in midlatitude and high-latitude regions. Recently, snow routines in hydrological and land surface models were improved to incorporate more accurate representations of forest snow processes, but model intercomparison projects have identified deficiencies, partly due to incomplete knowledge of the processes controlling snow cover in forests. The Snow Under Forest (SnoUF) project was initiated to enhance knowledge of the complex interactions between snow and vegetation. Two field campaigns, during the winters 2016–2017 and 2017–2018, were conducted in a coniferous forest bordering the snow study at Col de Porte (1325 m a.s.l., French Alps) to document the snow accumulation and ablation processes. This paper presents the field site, the instrumentation and the collection and postprocessing methods. The observations include distributed forest characteristics (tree inventory, lidar measurements of forest structure, subcanopy hemispherical photographs), meteorology (automatic weather station and an array of radiometers), snow cover and depth (snow pole transect and laser scan) and snow interception by the canopy during precipitation events. The weather station installed under dense canopy during the first campaign has been maintained since then and has provided continuous measurements throughout the year since 2018. Data are publicly available from the repository of the Observatoire des Sciences de l'Univers de Grenoble (OSUG) data center at https://doi.org/10.17178/SNOUF.2022 (Sicart et al., 2022).
dc.description.abstractSnow accumulation and ablation measurements in a midlatitude mountain coniferous forest (Col de Porte, France, 1325 m altitude): the Snow Under Forest (SnoUF) field campaign data set
dc.languageEN
dc.publisherCopernicus GmbH
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleSnow accumulation and ablation measurements in a midlatitude mountain coniferous forest (Col de Porte, France, 1325 m altitude): the Snow Under Forest (SnoUF) field campaign data set
dc.title.alternativeENEngelskEnglishSnow accumulation and ablation measurements in a midlatitude mountain coniferous forest (Col de Porte, France, 1325 m altitude): the Snow Under Forest (SnoUF) field campaign data set
dc.typeJournal article
dc.creator.authorSicart, Jean Emmanuel
dc.creator.authorRamseyer, Victor
dc.creator.authorPicard, Ghislain
dc.creator.authorArnaud, Laurent
dc.creator.authorCoulaud, Catherine
dc.creator.authorFreche, Guilhem
dc.creator.authorSoubeyrand, Damien
dc.creator.authorLejeune, Yves
dc.creator.authorGouttevin, Isabelle
dc.creator.authorLe Gac, Erwan
dc.creator.authorBerger, Frédéric
dc.creator.authorMonnet, Jean-Matthieu
dc.creator.authorBorgniet, Laurent
dc.creator.authorMermin, Éric
dc.creator.authorRutter, Nick
dc.creator.authorWebster, Clare
dc.creator.authorEssery, Richard
cristin.unitcode185,15,22,60
cristin.unitnameSeksjon for naturgeografi og hydrologi
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.cristin2245636
dc.identifier.bibliographiccitationinfo:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Earth System Science Data&rft.volume=&rft.spage=&rft.date=2023
dc.identifier.jtitleEarth System Science Data
dc.identifier.volume15
dc.identifier.issue11
dc.identifier.startpage5121
dc.identifier.endpage5133
dc.identifier.doihttps://doi.org/10.5194/essd-15-5121-2023
dc.type.documentTidsskriftartikkel
dc.type.peerreviewedPeer reviewed
dc.source.issn1866-3508
dc.type.versionPublishedVersion


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Attribution 4.0 International
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