Submitted as: model description paper
27 Jul 2022
Submitted as: model description paper | 27 Jul 2022
Status: a revised version of 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: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CEC1: 'Comment on gmd-2022-190', Juan Antonio Añel, 23 Aug 2022
    • AC1: 'Reply on CEC1', Anne Felden, 03 Sep 2022
  • RC1: 'Comment on gmd-2022-190', Anonymous Referee #1, 23 Aug 2022
  • RC2: 'Comment on gmd-2022-190', Anonymous Referee #2, 01 Sep 2022
  • AC2: 'Comment on gmd-2022-190', Anne Felden, 29 Nov 2022

Anne M. Felden et al.

Data sets

Github link to access the source code and the short user manual Anne M. Felden

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

Anne M. Felden et al.


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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.