Hourly surface meltwater routing for a Greenlandic supraglacial catchment across hillslopes and through a dense topological channel network
Publication
, Journal Article
Gleason, CJ; Yang, K; Feng, D; Smith, LC; Liu, K; Pitcher, LH; Chu, VW; Cooper, MG; Overstreet, BT; Rennermalm, AK; Ryan, JC
Published in: The Cryosphere
Abstract. Recent work has identified complex perennial supraglacial stream and river
networks in areas of the Greenland Ice Sheet (GrIS) ablation zone. Current
surface mass balance (SMB) models appear to overestimate meltwater runoff in
these networks compared to in-channel measurements of supraglacial
discharge. Here, we constrain SMB models using the hillslope river routing
model (HRR), a spatially explicit flow routing model used in terrestrial
hydrology, in a 63 km2 supraglacial river catchment in southwest
Greenland. HRR conserves water mass and momentum and explicitly accounts for
hillslope routing (i.e., flow over ice and/or firn on the GrIS), and we produce
hourly flows for nearly 10 000 channels given inputs of an ice surface digital elevation model (DEM),
a remotely sensed supraglacial channel network, SMB-modeled runoff, and an
in situ discharge dataset used for calibration. Model calibration yields a
Nash–Sutcliffe efficiency as high as 0.92 and physically realistic
parameters. We confirm earlier assertions that SMB runoff exceeds the
conserved mass of water measured in this catchment (by 12 %–59 %) and that
large channels do not dewater overnight despite a diurnal shutdown of SMB
runoff production. We further test hillslope routing and network density
controls on channel discharge and conclude that explicitly including
hillslope flow and routing runoff through a realistic fine-channel
network (as opposed to excluding hillslope flow and using a coarse-channel
network) produces the most accurate results. Modeling complex surface water
processes is thus both possible and necessary to accurately simulate the
timing and magnitude of supraglacial channel flows, and we highlight a need
for additional in situ discharge datasets to better calibrate and apply this
method elsewhere on the ice sheet.