EGU22-1236
https://doi.org/10.5194/egusphere-egu22-1236
EGU General Assembly 2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

SUHMO: an AMR SUbglacial Hydrology MOdel 

Anne Felden, Daniel Martin, and Esmond Ng
Anne Felden et al.
  • Lawrence Berkeley National Laboratory, CRD, Berkeley, United States of America (amfelden@lbl.gov)

Water flowing under ice sheets and glaciers can have a strong influence on ice dynamics, particularly through pressure changes, suggesting that a comprehensive ice-sheet model should include the effect of basal hydrology. Modeling subglacial hydrology remains a challenge however, mainly due to the range of spatial and temporal scales involved - from subglacial channels to vast subglacial lakes. Additionally, subglacial drainage networks dynamically evolve over time. To address some of these challenges, we have developed an Adaptive Mesh Refinement (AMR) model based on the Chombo software framework. We extend the model proposed by Sommers and others, (2018) with a few changes to accommodate the transition from unresolved to resolved elements. We handle the strong non-linearities present in the equations by resorting to an efficient non-linear Full Approximation Scheme (FAS-MG) algorithm.  We outline the details of the algorithm and present convergence analysis results demonstrating its effectiveness. Additionally, we present results validating our approach, using test cases from the SHMIP inter-comparison project (2018). We finish by discussing ongoing work related to the coupling of SUHMO with the BISICLES AMR ice-sheet model.

How to cite: Felden, A., Martin, D., and Ng, E.: SUHMO: an AMR SUbglacial Hydrology MOdel , EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-1236, https://doi.org/10.5194/egusphere-egu22-1236, 2022.