Articles | Volume 11, issue 4
https://doi.org/10.5194/tc-11-1519-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/tc-11-1519-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
SEMIC: an efficient surface energy and mass balance model applied to the Greenland ice sheet
Potsdam Institute for Climate Impact Research (PIK), P.O. Box 60 12 03, 14412
Potsdam, Germany
Department of Zoology, University of Cambridge, Cambridge CB2 3EJ, UK
Alexander Robinson
Departamento de Astrofísica y Ciencias de la Atmósfera, Universidad Complutense de Madrid, 28040
Madrid, Spain
Potsdam Institute for Climate Impact Research (PIK), P.O. Box 60 12 03, 14412
Potsdam, Germany
Andrey Ganopolski
Potsdam Institute for Climate Impact Research (PIK), P.O. Box 60 12 03, 14412
Potsdam, Germany
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Cited
16 citations as recorded by crossref.
- The Glacier‐Climate Interaction Over the Tibetan Plateau and Its Surroundings During the Last Glacial Maximum Q. Wei et al. 10.1029/2023GL103538
- Greenland Ice Sheet Surface Runoff Projections to 2200 Using Degree-Day Methods C. Yue et al. 10.3390/atmos12121569
- Simulating the Evolution of Da Anglong Glacier, Western Tibetan Plateau over the 21st Century W. Zhao et al. 10.3390/w14020271
- Greenland Ice Sheet Contribution to 21st Century Sea Level Rise as Simulated by the Coupled CESM2.1‐CISM2.1 L. Muntjewerf et al. 10.1029/2019GL086836
- Future sea-level projections with a coupled atmosphere-ocean-ice-sheet model J. Park et al. 10.1038/s41467-023-36051-9
- The diurnal Energy Balance Model (dEBM): a convenient surface mass balance solution for ice sheets in Earth system modeling U. Krebs-Kanzow et al. 10.5194/tc-15-2295-2021
- Impact of the melt–albedo feedback on the future evolution of the Greenland Ice Sheet with PISM-dEBM-simple M. Zeitz et al. 10.5194/tc-15-5739-2021
- An efficient surface energy–mass balance model for snow and ice A. Born et al. 10.5194/tc-13-1529-2019
- Greenland Ice Sheet Response to Stratospheric Aerosol Injection Geoengineering J. Moore et al. 10.1029/2019EF001393
- The evolution of future Antarctic surface melt using PISM-dEBM-simple J. Garbe et al. 10.5194/tc-17-4571-2023
- Brief communication: An ice surface melt scheme including the diurnal cycle of solar radiation U. Krebs-Kanzow et al. 10.5194/tc-12-3923-2018
- Sensitivity of the Greenland surface mass and energy balance to uncertainties in key model parameters T. Zolles & A. Born 10.5194/tc-15-2917-2021
- Vatnajökull Mass Loss Under Solar Geoengineering Due to the North Atlantic Meridional Overturning Circulation C. Yue et al. 10.1029/2021EF002052
- The Earth system model CLIMBER-X v1.0 – Part 1: Climate model description and validation M. Willeit et al. 10.5194/gmd-15-5905-2022
- The effect of overshooting 1.5 °C global warming on the mass loss of the Greenland ice sheet M. Rückamp et al. 10.5194/esd-9-1169-2018
- Reduced Ice Loss From Greenland Under Stratospheric Aerosol Injection J. Moore et al. 10.1029/2023JF007112
16 citations as recorded by crossref.
- The Glacier‐Climate Interaction Over the Tibetan Plateau and Its Surroundings During the Last Glacial Maximum Q. Wei et al. 10.1029/2023GL103538
- Greenland Ice Sheet Surface Runoff Projections to 2200 Using Degree-Day Methods C. Yue et al. 10.3390/atmos12121569
- Simulating the Evolution of Da Anglong Glacier, Western Tibetan Plateau over the 21st Century W. Zhao et al. 10.3390/w14020271
- Greenland Ice Sheet Contribution to 21st Century Sea Level Rise as Simulated by the Coupled CESM2.1‐CISM2.1 L. Muntjewerf et al. 10.1029/2019GL086836
- Future sea-level projections with a coupled atmosphere-ocean-ice-sheet model J. Park et al. 10.1038/s41467-023-36051-9
- The diurnal Energy Balance Model (dEBM): a convenient surface mass balance solution for ice sheets in Earth system modeling U. Krebs-Kanzow et al. 10.5194/tc-15-2295-2021
- Impact of the melt–albedo feedback on the future evolution of the Greenland Ice Sheet with PISM-dEBM-simple M. Zeitz et al. 10.5194/tc-15-5739-2021
- An efficient surface energy–mass balance model for snow and ice A. Born et al. 10.5194/tc-13-1529-2019
- Greenland Ice Sheet Response to Stratospheric Aerosol Injection Geoengineering J. Moore et al. 10.1029/2019EF001393
- The evolution of future Antarctic surface melt using PISM-dEBM-simple J. Garbe et al. 10.5194/tc-17-4571-2023
- Brief communication: An ice surface melt scheme including the diurnal cycle of solar radiation U. Krebs-Kanzow et al. 10.5194/tc-12-3923-2018
- Sensitivity of the Greenland surface mass and energy balance to uncertainties in key model parameters T. Zolles & A. Born 10.5194/tc-15-2917-2021
- Vatnajökull Mass Loss Under Solar Geoengineering Due to the North Atlantic Meridional Overturning Circulation C. Yue et al. 10.1029/2021EF002052
- The Earth system model CLIMBER-X v1.0 – Part 1: Climate model description and validation M. Willeit et al. 10.5194/gmd-15-5905-2022
- The effect of overshooting 1.5 °C global warming on the mass loss of the Greenland ice sheet M. Rückamp et al. 10.5194/esd-9-1169-2018
- Reduced Ice Loss From Greenland Under Stratospheric Aerosol Injection J. Moore et al. 10.1029/2023JF007112
Latest update: 14 Dec 2024
Short summary
We present the snowpack model SEMIC. It calculates snow height, surface temperature, surface albedo, and the surface mass balance of snow- and ice-covered surfaces while using meteorological data as input. In this paper we describe how SEMIC works and how well it compares with snowpack data of a more sophisticated regional climate model applied to the Greenland ice sheet. Because of its simplicity and efficiency, SEMIC can be used as a coupling interface between atmospheric and ice sheet models.
We present the snowpack model SEMIC. It calculates snow height, surface temperature, surface...