Taking advantage of the predictive potential of process-based models for ice exploration Academic Article uri icon

abstract

  • Many numerical models focus on the large-scale dynamics and long-term prediction of ice masses, often at the expense of resolving basic processes that only vary on comparatively small spatial and temporal scales. To capture the variability in englacial and subglacial environments, we present a complementary modeling approach that emphasizes basic processes and their mutual interplay at scales ranging from individual sediment grains to catchment areas. Our models are designed for testing against in-situ measurements and could contribute to the design of field campaigns by identifying locations where observational constraints would be particularly meaningful. The process-based, forward models we develop are used to test specific hypotheses about englacial and subglacial properties by computing the observational signatures associated with the hypothesized …

publication date

  • February 1, 2016