The development and application of IceLake, an accurate and computationally efficient model of supraglacial lake evolution in the ablation zone of the Greenland Ice Sheet ...
The supraglacial hydrological system of the Greenland Ice Sheet (GrIS) delivers ~60% of total mass loss from the ice sheet to the ocean (van den Broeke et al., 2016), making a thorough understanding crucial for sea level rise predictions. Supraglacial lakes play a crucial role in the evolution of th...
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| Format: | Thesis |
| Language: | English |
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University of Cambridge
2018
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| Online Access: | https://dx.doi.org/10.17863/cam.35443 https://www.repository.cam.ac.uk/handle/1810/288127 |
| Summary: | The supraglacial hydrological system of the Greenland Ice Sheet (GrIS) delivers ~60% of total mass loss from the ice sheet to the ocean (van den Broeke et al., 2016), making a thorough understanding crucial for sea level rise predictions. Supraglacial lakes play a crucial role in the evolution of this system and have been implicated in initiating rapid ice-sheet acceleration (Das et al., 2008), the formation of inland surface-bed meltwater pathways (Christoffersen et al., 2018; Hoffman et al., 2018) and cryo-hydrologic warming (Phillips et al., 2010, 2013). No model currently exists to reproduce the full evolution of these lakes in the ablation zone, including the effect of snow cover. Here, the IceLake model is presented which effectively replicates recorded supraglacial lake depth data to within 0.7 m after a 165-day, over-winter, run. IceLake is computationally efficient, taking <30 seconds for a one-year run using a 3.2 GHz processor. The parameter space of IceLake is comprehensively tested and the ... |
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