Improving Surface Melt Estimation over Antarctica Using Deep Learning: A Proof-of-Concept over the Larsen Ice Shelf

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

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Bibliographic Details
Main Authors: Hu, Zhongyang, Kuipers Munneke, Peter, Lhermitte, Stef, Izeboud, Maaike, Broeke, Michiel
Format: Text
Language:English
Published: 2021
Subjects:
Online Access:https://doi.org/10.5194/tc-2021-102
https://tc.copernicus.org/preprints/tc-2021-102/