Glacier zonation and velocity estimations on Axel Heiberg Island using TerraSAR-X data
Notice bibliographique
Résumé
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.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,001 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».