Increased variability in Greenland Ice Sheet runoff from satellite observations

Thomas Slater; Andrew Shepherd; Malcolm McMillan; Amber Leeson; Lin Gilbert; Alan Muir; Peter Kuipers Munneke; Brice Noël; Xavier Fettweis; Michiel van den Broeke; Kate Briggs

doi:10.1038/s41467-021-26229-4

Nature Communications (Nov 2021)

Increased variability in Greenland Ice Sheet runoff from satellite observations

Thomas Slater,
Andrew Shepherd,
Malcolm McMillan,
Amber Leeson,
Lin Gilbert,
Alan Muir,
Peter Kuipers Munneke,
Brice Noël,
Xavier Fettweis,
Michiel van den Broeke,
Kate Briggs

Affiliations

Thomas Slater: Centre for Polar Observation and Modelling, School of Earth and Environment, University of Leeds
Andrew Shepherd: Centre for Polar Observation and Modelling, School of Earth and Environment, University of Leeds
Malcolm McMillan: Lancaster Environment Centre, Lancaster University
Amber Leeson: Lancaster Environment Centre, Lancaster University
Lin Gilbert: Mullard Space Science Laboratory, Department of Space & Climate Physics, University College London
Alan Muir: Mullard Space Science Laboratory, Department of Space & Climate Physics, University College London
Peter Kuipers Munneke: Institute for Marine and Atmospheric research Utrecht, Utrecht University
Brice Noël: Institute for Marine and Atmospheric research Utrecht, Utrecht University
Xavier Fettweis: SPHERES Research Unit, Department of Geography, University of Liège
Michiel van den Broeke: Institute for Marine and Atmospheric research Utrecht, Utrecht University
Kate Briggs: Centre for Polar Observation and Modelling, School of Earth and Environment, University of Leeds

DOI: https://doi.org/10.1038/s41467-021-26229-4
Journal volume & issue: Vol. 12, no. 1
pp. 1 – 9

Abstract

Read online

Accurate assessments of ice-sheet runoff are essential for sea-level projections. A new method using satellite altimeter observations can provide near real-time surface mass balance measurements across an entire ice sheet and reveal runoff variability not captured by global climate models.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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