Articles | Volume 15, issue 3
The Cryosphere, 15, 1663–1675, 2021
https://doi.org/10.5194/tc-15-1663-2021
The Cryosphere, 15, 1663–1675, 2021
https://doi.org/10.5194/tc-15-1663-2021

Research article 01 Apr 2021

Research article | 01 Apr 2021

Calving Front Machine (CALFIN): glacial termini dataset and automated deep learning extraction method for Greenland, 1972–2019

Daniel Cheng et al.

Data sets

CALFIN: Calving Front Dataset for East/West Greenland, 1972-2019 Daniel Cheng, Wayne Hayes, and Eric Larour https://doi.org/10.7280/D1FH5D

Model code and software

CALFIN v1.0.0 Daniel Cheng https://doi.org/10.5281/zenodo.4084403

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Short summary
Tracking changes in Greenland's glaciers is important for understanding Earth's climate, but it is time consuming to do so by hand. We train a program, called CALFIN, to automatically track these changes with human levels of accuracy. CALFIN is a special type of program called a neural network. This method can be applied to other glaciers and eventually other tracking tasks. This will enhance our understanding of the Greenland Ice Sheet and permit better models of Earth's climate.