TY - JOUR
T1 - A benchmark dataset of in situ Antarctic surface melt rates and energy balance
AU - Jakobs, Constantijn L.
AU - Reijmer, Carleen H.
AU - Smeets, C. J.P.Paul
AU - Trusel, Luke D.
AU - Van De Berg, Willem Jan
AU - Van Den Broeke, Michiel R.
AU - Van Wessem, J. Melchior
N1 - Publisher Copyright:
Copyright © The Author(s) 2020.
PY - 2020/4/1
Y1 - 2020/4/1
N2 - Abstract Surface melt on the coastal Antarctic ice sheet (AIS) determines the viability of its ice shelves and the stability of the grounded ice sheet, but very few in situ melt rate estimates exist to date. Here we present a benchmark dataset of in situ surface melt rates and energy balance from nine sites in the eastern Antarctic Peninsula (AP) and coastal Dronning Maud Land (DML), East Antarctica, seven of which are located on AIS ice shelves. Meteorological time series from eight automatic and one staffed weather station (Neumayer), ranging in length from 15 months to almost 24 years, serve as input for an energy-balance model to obtain consistent surface melt rates and energy-balance results. We find that surface melt rates exhibit large temporal, spatial and process variability. Intermittent summer melt in coastal DML is primarily driven by absorption of shortwave radiation, while non-summer melt events in the eastern AP occur during föhn events that force a large downward directed turbulent flux of sensible heat. We use the in situ surface melt rate dataset to evaluate melt rates from the regional atmospheric climate model RACMO2 and validate a melt product from the QuikSCAT satellite.
AB - Abstract Surface melt on the coastal Antarctic ice sheet (AIS) determines the viability of its ice shelves and the stability of the grounded ice sheet, but very few in situ melt rate estimates exist to date. Here we present a benchmark dataset of in situ surface melt rates and energy balance from nine sites in the eastern Antarctic Peninsula (AP) and coastal Dronning Maud Land (DML), East Antarctica, seven of which are located on AIS ice shelves. Meteorological time series from eight automatic and one staffed weather station (Neumayer), ranging in length from 15 months to almost 24 years, serve as input for an energy-balance model to obtain consistent surface melt rates and energy-balance results. We find that surface melt rates exhibit large temporal, spatial and process variability. Intermittent summer melt in coastal DML is primarily driven by absorption of shortwave radiation, while non-summer melt events in the eastern AP occur during föhn events that force a large downward directed turbulent flux of sensible heat. We use the in situ surface melt rate dataset to evaluate melt rates from the regional atmospheric climate model RACMO2 and validate a melt product from the QuikSCAT satellite.
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U2 - 10.1017/jog.2020.6
DO - 10.1017/jog.2020.6
M3 - Article
AN - SCOPUS:85081706594
SN - 0022-1430
VL - 66
SP - 291
EP - 302
JO - Journal of Glaciology
JF - Journal of Glaciology
IS - 256
ER -