Improving surface melt estimation over the Antarctic Ice Sheet using deep learning: a proof of concept over the Larsen Ice Shelf

• Published in: The Cryosphere
• Main Authors: Z. Hu, P. Kuipers Munneke, S. Lhermitte, M. Izeboud, M. van den Broeke
• Format: Article in Journal/Newspaper
• Language: English
• Published: Copernicus Publications 2021
• Subjects: geo; envir; Antarctic; Larsen Ice Shelf; The Antarctic; Antarc*; Antarctica; Ice Sheet; Ice Shelf; Ice Shelves; The Cryosphere
• Online Access: https://doi.org/10.5194/tc-15-5639-2021; https://tc.copernicus.org/articles/15/5639/2021/tc-15-5639-2021.pdf; https://doaj.org/article/5fff1173dabd42d19fad2e57014bdfe4

Accurately estimating the surface melt volume of the Antarctic Ice Sheet is challenging and has hitherto relied on climate modeling or observations from satellite remote sensing. Each of these methods has its limitations, especially in regions with high surface melt. This study aims to demonstrate t...