TY - JOUR
T1 - Greenland Ice Sheet mass balance (1992–2020) from calibrated radar altimetry
AU - Simonsen, Sebastian B.
AU - Barletta, Valentina R.
AU - Colgan, William T.
AU - Sørensen, Louise Sandberg
N1 - Funding Information:
The initial version of this study was conceived as a part of the ESA CCI Sea Level Budget Closure Project (ESA contract number 4000119910/17/I‐NB). The long time‐series radar altimetry was developed in the ESA CCI + Greenland Ice Sheet Project (ESA contract number 4000126523/10/I‐NB) and operationalized within the C3S project (Framework agreement ECMWF/COPERNICUS/2018/C3S_312b_Lot4_EODC). William Colgan was supported by the Programme for Monitoring the Greenland Ice Sheet (PROMICE).
Publisher Copyright:
© 2021. The Authors.
PY - 2021/2/16
Y1 - 2021/2/16
N2 - We present the first 1992–2020 record of Greenland Ice Sheet (GrIS) mass balance derived from multisatellite Ku-band altimetry. We employ an empirical approach as an alternative detailed to radar-propagation modeling, and instead convert elevation changes observed by radar altimetry into mass changes using spatiotemporal calibration fields. This calibration field is derived from a machine learning approach that optimizes the prediction of a previously published mass balance field as a function of ice sheet variables. Our mass balance record shows a GrIS contribution of 12.1 ± 2.3 mm sea-level equivalent since 1992, with more than 80% of this contribution occurring after 2003. Our record also suggests that the 2017 hydrological year is the first year in the 21st century which, within uncertainties, the GrIS was in balance. Overall, the 28-year radar-derived mass balance record we present highlights the potential of the method to provide operational mass balance estimates derived from multisatellite Ku-band altimetry.
AB - We present the first 1992–2020 record of Greenland Ice Sheet (GrIS) mass balance derived from multisatellite Ku-band altimetry. We employ an empirical approach as an alternative detailed to radar-propagation modeling, and instead convert elevation changes observed by radar altimetry into mass changes using spatiotemporal calibration fields. This calibration field is derived from a machine learning approach that optimizes the prediction of a previously published mass balance field as a function of ice sheet variables. Our mass balance record shows a GrIS contribution of 12.1 ± 2.3 mm sea-level equivalent since 1992, with more than 80% of this contribution occurring after 2003. Our record also suggests that the 2017 hydrological year is the first year in the 21st century which, within uncertainties, the GrIS was in balance. Overall, the 28-year radar-derived mass balance record we present highlights the potential of the method to provide operational mass balance estimates derived from multisatellite Ku-band altimetry.
KW - climate-change
KW - Greenland Ice Sheet
KW - mass balance
KW - radar altimetry
UR - http://www.scopus.com/inward/record.url?scp=85101187262&partnerID=8YFLogxK
U2 - 10.1029/2020GL091216
DO - 10.1029/2020GL091216
M3 - Article
AN - SCOPUS:85101187262
SN - 0094-8276
VL - 48
JO - Geophysical Research Letters
JF - Geophysical Research Letters
IS - 3
M1 - e2020GL091216
ER -