Back to Search Start Over

Spatiotemporal change analysis for snowmelt over the Antarctic ice shelves using scatterometers

Authors :
Alvarinho J. Luis
Mahfooz Alam
Shridhar D. Jawak
Source :
Frontiers in Remote Sensing, Vol 3 (2022)
Publication Year :
2022
Publisher :
Frontiers Media S.A., 2022.

Abstract

Using Scatterometer-based backscatter data, the spatial and temporal melt dynamics of Antarctic ice shelves were tracked from 2000 to 2018. We constructed melt onset and duration maps for the whole Antarctic ice shelves using a pixel-based, adaptive threshold approach based on backscatter during the transition period between winter and summer. We explore the climatic influences on the spatial extent and timing of snowmelt using meteorological data from automatic weather stations and investigate the climatic controls on the spatial extent and timing of snowmelt. Melt extent usually starts in the latter week of November, peaks in the end of December/January, and vanishes in the first/second week of February on most ice shelves. On the Antarctic Peninsula (AP), the average melt was 70 days, with the melt onset on 20 November for almost 50% of the region. In comparison to the AP, the Eastern Antarctic experienced less melt, with melt lasting 40–50 days. For the Larsen-C, Shackleton, Amery, and Fimbul ice shelf, there was a substantial link between melt area and air temperature. A significant correlation is found between increased temperature advection and high melt area for the Amery, Shackleton, and Larsen-C ice shelves. The time series of total melt area showed a decreasing trend of −196 km2/yr which was statistical significant at 97% interval. The teleconnections discovered between melt area and the combined anomalies of Southern Annular Mode and Southern Oscillation Index point to the high southern latitudes being coupled to the global climate system. The most persistent and intensive melt occurred on the AP, West Ice Shelf, Shackleton Ice Shelf, and Amery Ice Shelf, which should be actively monitored for future stability.

Details

Language :
English
ISSN :
26736187
Volume :
3
Database :
Directory of Open Access Journals
Journal :
Frontiers in Remote Sensing
Publication Type :
Academic Journal
Accession number :
edsdoj.bdf9057a3bd2498ebd458e4fca311f04
Document Type :
article
Full Text :
https://doi.org/10.3389/frsen.2022.953733