TY - JOUR
T1 - Increased variability in Greenland Ice Sheet runoff from satellite observations
AU - Slater, Thomas
AU - Shepherd, Andrew
AU - McMillan, Malcolm
AU - Leeson, Amber
AU - Gilbert, Lin
AU - Muir, Alan
AU - Munneke, Peter Kuipers
AU - Noël, Brice
AU - Fettweis, Xavier
AU - van den Broeke, Michiel
AU - Briggs, Kate
N1 - Funding Information:
This work was supported by NERC through National Capability funding, undertaken by a partnership between the Centre for Polar Observation Modelling and the British Antarctic Survey, and by the European Space Agency’s Polar + Earth Observation for Mass Balance study (4000132154/20/I-EF). M.M. was supported by the Lancaster University-UKCEH Centre of Excellence in Environmental Data Science. A.L was supported by the NERC Meltwater Ice-sheet Interactions and the changing climate of Greenland research grant (MII Greenland NE/S011390/1). B.N. was funded by NWO VENI grant VI.Veni.192.019. M.v.d.B and P.K.M. acknowledge support from the Netherlands Earth System Science Centre (NESSC). Computational resources used to perform MAR simulations have been provided by the Consortium des Équipements de Calcul Intensif (CÉCI), funded by the F.R.S. FNRS under grant 2.5020.11 and the Tier-1 supercomputer (Zenobe) of the Féd-ération Wallonie Bruxelles infrastructure funded by the Walloon Region under grant agreement 1117545. We thank H. Goelzer for providing modelled ice thickness change data used in Supplementary Fig. 5. We acknowledge C. Greene for several MATLAB functions provided in the Climate Data Toolbox, used in visualising the data.
Publisher Copyright:
© 2021, The Author(s).
PY - 2021/11/1
Y1 - 2021/11/1
N2 - Runoff from the Greenland Ice Sheet has increased over recent decades affecting global sea level, regional ocean circulation, and coastal marine ecosystems, and it now accounts for most of the contemporary mass imbalance. Estimates of runoff are typically derived from regional climate models because satellite records have been limited to assessments of melting extent. Here, we use CryoSat-2 satellite altimetry to produce direct measurements of Greenland’s runoff variability, based on seasonal changes in the ice sheet’s surface elevation. Between 2011 and 2020, Greenland’s ablation zone thinned on average by 1.4 ± 0.4 m each summer and thickened by 0.9 ± 0.4 m each winter. By adjusting for the steady-state divergence of ice, we estimate that runoff was 357 ± 58 Gt/yr on average – in close agreement with regional climate model simulations (root mean square difference of 47 to 60 Gt/yr). As well as being 21 % higher between 2011 and 2020 than over the preceding three decades, runoff is now also 60 % more variable from year-to-year as a consequence of large-scale fluctuations in atmospheric circulation. Because this variability is not captured in global climate model simulations, our satellite record of runoff should help to refine them and improve confidence in their projections.
AB - Runoff from the Greenland Ice Sheet has increased over recent decades affecting global sea level, regional ocean circulation, and coastal marine ecosystems, and it now accounts for most of the contemporary mass imbalance. Estimates of runoff are typically derived from regional climate models because satellite records have been limited to assessments of melting extent. Here, we use CryoSat-2 satellite altimetry to produce direct measurements of Greenland’s runoff variability, based on seasonal changes in the ice sheet’s surface elevation. Between 2011 and 2020, Greenland’s ablation zone thinned on average by 1.4 ± 0.4 m each summer and thickened by 0.9 ± 0.4 m each winter. By adjusting for the steady-state divergence of ice, we estimate that runoff was 357 ± 58 Gt/yr on average – in close agreement with regional climate model simulations (root mean square difference of 47 to 60 Gt/yr). As well as being 21 % higher between 2011 and 2020 than over the preceding three decades, runoff is now also 60 % more variable from year-to-year as a consequence of large-scale fluctuations in atmospheric circulation. Because this variability is not captured in global climate model simulations, our satellite record of runoff should help to refine them and improve confidence in their projections.
UR - http://www.scopus.com/inward/record.url?scp=85118453221&partnerID=8YFLogxK
U2 - 10.1038/s41467-021-26229-4
DO - 10.1038/s41467-021-26229-4
M3 - Article
C2 - 34725324
AN - SCOPUS:85118453221
SN - 2041-1723
VL - 12
SP - 1
EP - 9
JO - Nature Communications
JF - Nature Communications
IS - 1
M1 - 6069
ER -