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Enregistrement W7000682579

Glacier zonation and velocity estimations on Axel Heiberg Island using TerraSAR-X data

2021· other· en· W7000682579 sur OpenAlexaboutno aff

Notice bibliographique

Revueelib (German Aerospace Center) · 2021
Typeother
Langueen
Domaine
Thématique
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésCryospherePermafrostGlacierSea iceArctic geoengineeringArcticArctic ice packAlbedo (alchemy)Ice-albedo feedbackArctic sea ice decline
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

The cryosphere and particularly glaciers and ice sheets play a fundamental role in the global climate system and are strongly influenced by changes in the system itself. The cryosphere refers to frozen components of the Earth system that are at or below the land and ocean surface. These include snow, glaciers, ice sheets, ice shelves, icebergs, sea ice, lake ice, river ice, permafrost, and seasonally frozen ground. As integral parts of the Earth system, the Polar Regions interact with the rest of the world through shared ocean, atmosphere, ecological, and social systems; notably, they are key components of the global climate system. The spatial footprints of the Polar Regions include a vast share of the world’s ocean and cryosphere: they encompass surface areas equalling 20% of the global ocean and more than 90% of the world’s continuous and discontinuous permafrost area, 69% of the world’s glacier area including both of the world’s ice sheets, almost all of the world’s sea ice, and land areas with the most persistent winter snow cover (Meredith et al. 2019).
\nOver the past two decades, Arctic surface temperature has increased by more than twice the global average (Notz and Stroeve 2016; Richter-Menge et al. 2017). Attribution studies show the significant role of anthropogenic increases in greenhouse gases in the observable increase in Arctic surface temperature (Fyfe et al. 2013; Najafi et al. 2015), so there is high confidence in projections of further Arctic warming (Overland et al. 2019). The mechanisms for Arctic amplification are still under debate, but they include decreased albedo in summer due to loss of sea ice and snow cover, increase in total water vapour content in the Arctic atmosphere, changes in total cloud cover in summer, additional heat generated by newly formed sea ice over more extensive open water areas in the fall, transport of heat and moisture northward, and lower rate of heat loss to space from the Arctic (Pithan and Mauritsen 2014).
\nThe Canadian Arctic Archipelago (CAA), located off the north-western coast of Greenland, contains one-third of the global volume of land ice outside the ice sheets (Radić and Hock 2010), but its contribution to sea-level rise remains widely unknown. Gardner et al. (2011) however, suggested, that the CAA has recently lost 61 ±7 gigatons of ice per year (Gt yr-1), which contributes 0.17 ±0.02 mm yr-1 to sea-level rise. A high rate of surface melt in the Canadian Arctic (Gardner et al. 2013; van Wychen et al. 2016) due to persistently high summer air temperatures (Bezeau et al. 2015) was reported. Increased surface melt on Arctic glaciers has led to a direct response through reduced surface albedo causing further melting (Box et al. 2012), and in Svalbard, the mean glacier albedo has decreased between 1979 and 2015 (Möller and Möller 2017). Across the Arctic, increased surface melt and subsequent ice lens formation due to internal refreezing also reduce the ability of glaciers to store meltwater, which increases runoff (Zdanowicz et al. 2012; Gascon et al. 2013; Noël et al. 2018). Between the 1990s and 2017, tidewater glaciers have shown regional patterns in glacier dynamics; glaciers in CAA have largely slowed, while glaciers in Svalbard and the Russian Arctic have accelerated (van Wychen et al. 2016; Strozzi et al. 2017).
\nThis work identified the glacial zones on Axel Heiberg Island using multitemporal TerraSAR-X WideScan (HH polarized) data from 2017 to 2020. This is achieved based on an analysis of the backscatter behaviour of the SAR signal. In order to obtain plausible results, optical (Sentinel-2) satellite images, a digital elevation model, as well as climatological data are used. Seasonal melting and refreezing patterns have been detected, matching to an extent climatological data, in particular the local temperatures. Overall, there is a positive trend, showing a continuous increase, in temperatures. This is reflected in the zonal glacier changes, in the warmer years, more extensive melt zones are more expansive and occur more frequently. 
\nIn addition, glacier flow velocities are determined for White Glacier (Axel Heiberg Island) using offset tracking. A seasonal recurring behaviour can also be identified in the glacier velocities. In the summer months (end of May to mid/end of September), velocities are relatively higher than in the winter months. However, a direct correlation between rising temperatures and increased velocities could not be detected, which may be due to the other factors influencing the glacier velocities. In this context, it is necessary to perform further research.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesCharge utile insuffisante (le modèle a refusé de juger)
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Autre · Signal consensuel: Autre
Score de désaccord entre enseignants0,096
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0010,001
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0030,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,075
Tête enseignante GPT0,355
Écart entre enseignants0,279 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeSans objet
Domainenon disponible
GenreAutre

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2021
Routes d'admission1
Résumé présentoui

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