Preprints
https://doi.org/10.5194/gmd-2022-190
https://doi.org/10.5194/gmd-2022-190
Submitted as: model description paper
27 Jul 2022
Submitted as: model description paper | 27 Jul 2022
Status: this preprint is currently under review for the journal GMD.

SUHMO: an AMR SUbglacial Hydrology MOdel v1.0

Anne M. Felden, Daniel F. Martin, and Esmond G. Ng Anne M. Felden et al.
  • Applied Mathematics and Computational Research Division, Lawrence Berkeley National Laboratory, Berkeley, California, US

Abstract. 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, networks of subglacial drainage channels 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 et al. (2018) with a few changes to accommodate the transition from unresolved to resolved flow features. We handle the strong nonlinearities present in the equations by resorting to an efficient nonlinear Full Approximation Scheme multigrid (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 Subglacial Hydrology Model Intercomparison Project (SHMIP) (de Fleurian et al., 2018). We finish by presenting a more complex AMR test case and discuss the effective pressure distribution as the spatial resolution increases.

Anne M. Felden et al.

Status: open (until 21 Sep 2022)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse

Anne M. Felden et al.

Data sets

Github link to access the source code and the short user manual Anne M. Felden https://github.com/EnnaDelfen/SUHMO

Model code and software

Github link to access the source code and the short user manual | Source code for SUHMO v1.0 Anne M. Felden https://github.com/EnnaDelfen/SUHMO

Anne M. Felden et al.

Viewed

Total article views: 146 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
112 29 5 146 6 5
  • HTML: 112
  • PDF: 29
  • XML: 5
  • Total: 146
  • BibTeX: 6
  • EndNote: 5
Views and downloads (calculated since 27 Jul 2022)
Cumulative views and downloads (calculated since 27 Jul 2022)

Viewed (geographical distribution)

Total article views: 127 (including HTML, PDF, and XML) Thereof 127 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 08 Aug 2022
Download
Short summary
We present and validate a novel subglacial hydrology model, SUHMO, based on an Adaptive Mesh Refinement framework. We propose the addition of a pseudo-diffusion to recover the wall melting in channels. Computational performance analysis demonstrates the efficiency of AMR on large-scale hydrologic problems. The AMR approach will eventually enable better ice-bed boundary conditions for ice sheet simulations at a reasonable computational cost.