SUHMO: an adaptive mesh refinement SUbglacial Hydrology MOdel v1.0

Abstract. Water flowing under ice sheets and glaciers can have a strong influence on dynamics, particularly through pressure changes, suggesting that comprehensive sheet model should include the effect of basal hydrology. Modeling subglacial hydrology remains challenge, however, mainly due to range spatial temporal scales involved – from channels vast lakes. Additionally, networks drainage dynamically evolve over time. To address some these challenges, we developed an adaptive mesh refinement (AMR) based Chombo software framework. We extend proposed by Sommers et al. (2018) with small but significant change accommodate transition unresolved resolved flow features. handle nonlinearities present in equations resorting efficient nonlinear full approximation scheme multigrid (FAS-MG) algorithm. outline details algorithm convergence analysis results demonstrating its good performance. validating our approach, using test cases Subglacial Hydrology Model Intercomparison Project (SHMIP) (de Fleurian al., 2018). finish presenting more complex, 100 km-by-100 km synthetic case peaks valleys use investigate effective distribution as number AMR levels increases. These preliminary suggest minimum resolution is needed properly capture channel features, additional work required precisely quantify this impact accurately modeling coupled sheet–hydrology system. The efficiency relying localized refinement, also demonstrated. Future will coupling SUbglacial MOdel (SUHMO) BISICLES (Cornford 2013), both built same numerical