SERMeQ Model Produces a Realistic Upper Bound on Calving Retreat for 155 Greenland Outlet Glaciers

The rate of land ice loss due to iceberg calving is a key source of variability among model projections of the 21st century sea level rise. It is especially challenging to account for mass loss due to iceberg calving in Greenland, where ice drains to the ocean through hundreds of outlet glaciers, ma...

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Bibliographic Details
Published in:Geophysical Research Letters
Main Authors: Ultee, Lizz, Bassis, Jeremy N.
Format: Article in Journal/Newspaper
Language:unknown
Published: Wiley Periodicals, Inc. 2020
Subjects:
Online Access:https://hdl.handle.net/2027.42/163401
https://doi.org/10.1029/2020GL090213
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Summary:The rate of land ice loss due to iceberg calving is a key source of variability among model projections of the 21st century sea level rise. It is especially challenging to account for mass loss due to iceberg calving in Greenland, where ice drains to the ocean through hundreds of outlet glaciers, many smaller than typical model grid scale. Here, we apply a numerically efficient network flowline model (SERMeQ) forced by surface mass balance to simulate an upper bound on decadal calving retreat of 155 grounded outlet glaciers of the Greenland Ice Sheet—resolving five times as many outlets as was previously possible. We show that the upper bound holds for 91% of glaciers examined and that simulated changes in terminus position correlate with observed changes. SERMeQ can provide a physically consistent constraint on forward projections of the dynamic mass loss from the Greenland Ice Sheet associated with different climate projections.Key PointsWe test an upper‐bound model of calving retreat of 155 ocean‐terminating outlet glaciers that drain the Greenland Ice SheetOur physics‐based method produces terminus positions that correlate with observed positions for 103 glaciers without model tuningOur model bounds retreat rates on 91% of glaciers tested, providing a constraint for future sea level projections Peer Reviewed http://deepblue.lib.umich.edu/bitstream/2027.42/163401/3/grl61420-sup-0003-2020GL090213-Text_SI-S01.pdf http://deepblue.lib.umich.edu/bitstream/2027.42/163401/2/grl61420_am.pdf http://deepblue.lib.umich.edu/bitstream/2027.42/163401/1/grl61420.pdf