
These are files that are useful for running experiments detailed in Law et al. (2026), Exploring the conditions conducive to convection within the Greenland Ice Sheet, The Cryosphere (egusphere-2025-784). Perhaps the simplest way to run this is using the ASPECT Docker instance (https://aspect-documentation.readthedocs.io/en/latest/user/install/docker-container/installing-docker.html). Within apect_prms/inputs/ each run can then be controlled using the runner.py script which will cycle through the .prms produced in prm_generator scripts/ymax_extractor.py can be used to extract y data from .vtus. The problem is that the aspectdata package requires additional permisions (and we are therefore not at liberty to share it under a Creative Commons license). Please contact Claire Guimond, https://eaps.ethz.ch/en/people/profile.Mzc2ODE4.TGlzdC83NzMsOTI0MjA1OTI2.html, for use cases. Please contact Robert Law (roblaw@ethz.ch or rob3rtlaw@gmail.com) for further troubleshooting.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
