Articles | Volume 17, issue 10
Development and technical paper
22 May 2024
Development and technical paper |  | 22 May 2024

Parallel SnowModel (v1.0): a parallel implementation of a distributed snow-evolution modeling system (SnowModel)

Ross Mower, Ethan D. Gutmann, Glen E. Liston, Jessica Lundquist, and Soren Rasmussen

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Cited articles

Beniston, M.: Climatic Change in Mountain Regions: A Review of Possible Impacts, Climatic Change, 59, 5–31,, 2003. 
Bernhardt, M., Schulz, K., Liston, G. E., and Zängl, G.: The influence of lateral snow redistribution processes on snow melt and sublimation in alpine regions, J. Hydrol., 424–425, 196–206,, 2012. 
Clark, M. P. and Hay, L. E.: Use of Medium-Range Numerical Weather Prediction Model Output to Produce Forecasts of Streamflow, J. Hydrometeorol., 5, 15–32,<0015:Uomnwp>2.0.Co;2, 2004. 
Coarfa, C., Dotsenko, Y., Mellor-Crummey, J., Cantonnet, F., El-Ghazawi, T., Mohanti, A., Yao, Y., and Chavarría-Miranda, D.: An evaluation of global address space languages: co-array fortran and unified parallel c, Proceedings of the tenth ACM SIGPLAN symposium on Principles and practice of parallel programming, 36–47,, 2005. 
Short summary
Higher-resolution model simulations are better at capturing winter snowpack changes across space and time. However, increasing resolution also increases the computational requirements. This work provides an overview of changes made to a distributed snow-evolution modeling system (SnowModel) to allow it to leverage high-performance computing resources. Continental simulations that were previously estimated to take 120 d can now be performed in 5 h.