Articles | Volume 15, issue 5
https://doi.org/10.5194/tc-15-2315-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-15-2315-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Hourly surface meltwater routing for a Greenlandic supraglacial catchment across hillslopes and through a dense topological channel network
Colin J. Gleason
CORRESPONDING AUTHOR
Department of Civil and Environmental Engineering, University of
Massachusetts Amherst, Amherst, 01002, USA
Kang Yang
School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing,
210023, China
Dongmei Feng
Department of Civil and Environmental Engineering, University of
Massachusetts Amherst, Amherst, 01002, USA
Laurence C. Smith
Institute at Brown for Environment and Society, Brown University,
Providence, Rhode Island, 02912, USA
Department of Earth, Environmental, and Planetary Sciences, Brown
University, Providence, Rhode Island, 02912, USA
Kai Liu
Nanjing Institute of Geography & Limnology, Chinese Academy of
Sciences, Nanjing, 210008, China
Lincoln H. Pitcher
Cooperative Institute for Research in Environmental
Sciences (CIRES), University of Colorado Boulder, Boulder, CO, USA
Vena W. Chu
Department of Geography, University of California Santa Barbara,
Santa Barbara, 93106, USA
Matthew G. Cooper
Department of Geography, University of California, Los Angeles, Los
Angeles, CA, 90095, USA
Brandon T. Overstreet
Department of Geology and Geophysics, University of Wyoming, Laramie,
WY, 82070, USA
Asa K. Rennermalm
Department of Geography, Rutgers, The State University of New
Jersey, New Brunswick, NJ 08901, USA
Jonathan C. Ryan
Institute at Brown for Environment and Society, Brown University,
Providence, Rhode Island, 02912, USA
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Cited
11 citations as recorded by crossref.
- The impact of surface melt rate and catchment characteristics on Greenland Ice Sheet moulin inputs T. Hill & C. Dow https://doi.org/10.5194/tc-17-2607-2023
- Water blister geomorphology and subglacial drainage sediments: an example from the bed of the Fennoscandian Ice Sheet in SW Finland J. Mäkinen et al. https://doi.org/10.1017/jog.2023.37
- Distribution and characteristics of supraglacial channels on mountain glaciers in Valais, Switzerland H. Wytiahlowsky et al. https://doi.org/10.5194/tc-19-6461-2025
- Retreat, lowering and persistent supraglacial streams at the Barnes Ice Cap, Baffin Island, Canada D. Rippin et al. https://doi.org/10.1017/jog.2026.10127
- Supraglacial streamflow and meteorological drivers from southwest Greenland R. Muthyala et al. https://doi.org/10.5194/tc-16-2245-2022
- Automated Mapping of Supraglacial Stream Networks on the Greenland Ice Sheet Using Dual U-Net Convolutional Neural Networks S. Esenther et al. https://doi.org/10.1109/LGRS.2026.3663855
- Modeling the Dynamics of Supraglacial Rivers and Distributed Meltwater Flow With the Subaerial Drainage System (SaDS) Model T. Hill & C. Dow https://doi.org/10.1029/2021JF006309
- A semi-automated, GIS-based framework for the mapping of supraglacial hydrology E. Bash et al. https://doi.org/10.1017/jog.2022.92
- Seasonal evolution of the supraglacial drainage network at Humboldt Glacier, northern Greenland, between 2016 and 2020 L. Rawlins et al. https://doi.org/10.5194/tc-17-4729-2023
- Greenland ice sheet runoff reduced by meltwater refreezing in bare ice M. Cooper et al. https://doi.org/10.1038/s41467-025-62281-0
- Supraglacial Drainage Efficiency of the Greenland Ice Sheet Estimated From Remote Sensing and Climate Models K. Yang et al. https://doi.org/10.1029/2021JF006269
11 citations as recorded by crossref.
- The impact of surface melt rate and catchment characteristics on Greenland Ice Sheet moulin inputs T. Hill & C. Dow https://doi.org/10.5194/tc-17-2607-2023
- Water blister geomorphology and subglacial drainage sediments: an example from the bed of the Fennoscandian Ice Sheet in SW Finland J. Mäkinen et al. https://doi.org/10.1017/jog.2023.37
- Distribution and characteristics of supraglacial channels on mountain glaciers in Valais, Switzerland H. Wytiahlowsky et al. https://doi.org/10.5194/tc-19-6461-2025
- Retreat, lowering and persistent supraglacial streams at the Barnes Ice Cap, Baffin Island, Canada D. Rippin et al. https://doi.org/10.1017/jog.2026.10127
- Supraglacial streamflow and meteorological drivers from southwest Greenland R. Muthyala et al. https://doi.org/10.5194/tc-16-2245-2022
- Automated Mapping of Supraglacial Stream Networks on the Greenland Ice Sheet Using Dual U-Net Convolutional Neural Networks S. Esenther et al. https://doi.org/10.1109/LGRS.2026.3663855
- Modeling the Dynamics of Supraglacial Rivers and Distributed Meltwater Flow With the Subaerial Drainage System (SaDS) Model T. Hill & C. Dow https://doi.org/10.1029/2021JF006309
- A semi-automated, GIS-based framework for the mapping of supraglacial hydrology E. Bash et al. https://doi.org/10.1017/jog.2022.92
- Seasonal evolution of the supraglacial drainage network at Humboldt Glacier, northern Greenland, between 2016 and 2020 L. Rawlins et al. https://doi.org/10.5194/tc-17-4729-2023
- Greenland ice sheet runoff reduced by meltwater refreezing in bare ice M. Cooper et al. https://doi.org/10.1038/s41467-025-62281-0
- Supraglacial Drainage Efficiency of the Greenland Ice Sheet Estimated From Remote Sensing and Climate Models K. Yang et al. https://doi.org/10.1029/2021JF006269
Saved (final revised paper)
Latest update: 08 Aug 2026
Short summary
We apply first-principle hydrology models designed for global river routing to route flows hourly through 10 000 individual supraglacial channels in Greenland. Our results uniquely show the role of process controls (network density, hillslope flow, channel friction) on routed meltwater. We also confirm earlier suggestions that large channels do not dewater overnight despite the shutdown of runoff and surface mass balance runoff being mistimed and overproducing runoff, as validated in situ.
We apply first-principle hydrology models designed for global river routing to route flows...