Articles | Volume 14, issue 1
https://doi.org/10.5194/essd-14-209-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-14-209-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
24 Jan 2022
Data description paper |
| 24 Jan 2022
| 24 Jan 2022
An inventory of supraglacial lakes and channels across the West Antarctic Ice Sheet
Diarmuid Corr
CORRESPONDING AUTHOR
Centre of Excellence in Environmental Data Science, Lancaster Environment Centre, Lancaster University, Lancaster, LA1 4YQ, UK
Amber Leeson
Centre of Excellence in Environmental Data Science, Lancaster Environment Centre, Lancaster University, Lancaster, LA1 4YQ, UK
Data Science Institute, Lancaster University, Lancaster, LA1 4YW, UK
Malcolm McMillan
Centre of Excellence in Environmental Data Science, Lancaster Environment Centre, Lancaster University, Lancaster, LA1 4YQ, UK
UK Centre for Polar Observation and Modelling, Lancaster University, Lancaster, LA1 4YW, UK
Centre of Excellence in Environmental Data Science, Lancaster Environment Centre, Lancaster University, Lancaster, LA1 4YQ, UK
Data Science Institute, Lancaster University, Lancaster, LA1 4YW, UK
UK Centre for Ecology & Hydrology, Library Avenue, Lancaster, LA1 4AP, UK
Thomas Barnes
Centre of Excellence in Environmental Data Science, Lancaster Environment Centre, Lancaster University, Lancaster, LA1 4YQ, UK
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Prateek Gantayat, Alison F. Banwell, Amber A. Leeson, James M. Lea, Dorthe Petersen, Noel Gourmelen, and Xavier Fettweis
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Nikolaos Tziokas, Ce Zhang, Garyfallos Chrysovalantis Drolias, and Peter M. Atkinson
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C. Chen, C. Zhang, B. Tian, and Y. Zhou
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Daniel Clarkson, Emma Eastoe, and Amber Leeson
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Thomas James Barnes, Amber Alexandra Leeson, Malcolm McMillan, Vincent Verjans, Jeremy Carter, and Christoph Kittel
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Malcolm McMillan, Alan Muir, and Craig Donlon
The Cryosphere, 15, 3129–3134, https://doi.org/10.5194/tc-15-3129-2021, https://doi.org/10.5194/tc-15-3129-2021, 2021
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Jennifer F. Arthur, Chris R. Stokes, Stewart S. R. Jamieson, J. Rachel Carr, and Amber A. Leeson
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Baptiste Vandecrux, Ruth Mottram, Peter L. Langen, Robert S. Fausto, Martin Olesen, C. Max Stevens, Vincent Verjans, Amber Leeson, Stefan Ligtenberg, Peter Kuipers Munneke, Sergey Marchenko, Ward van Pelt, Colin R. Meyer, Sebastian B. Simonsen, Achim Heilig, Samira Samimi, Shawn Marshall, Horst Machguth, Michael MacFerrin, Masashi Niwano, Olivia Miller, Clifford I. Voss, and Jason E. Box
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Short summary
We identify 119 km2 of meltwater area over West Antarctica in January 2017. In combination with Stokes et al., 2019, this forms the first continent-wide assessment helping to quantify the mass balance of Antarctica and its contribution to global sea level rise. We apply thresholds for meltwater classification to satellite images, mapping the extent and manually post-processing to remove false positives. Our study provides a high-fidelity dataset to train and validate machine learning methods.
We identify 119 km2 of meltwater area over West Antarctica in January 2017. In combination with...
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