Articles | Volume 10, issue 2
Geosci. Model Dev., 10, 873–888, 2017
Geosci. Model Dev., 10, 873–888, 2017

Development and technical paper 22 Feb 2017

Development and technical paper | 22 Feb 2017

Exploring new topography-based subgrid spatial structures for improving land surface modeling

Teklu K. Tesfa and Lai-Yung Ruby Leung

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Cited articles

Beven, K.: Topmodel: A Critique, Hydrol. Process., 11, 1069–1085, 1997.
Chen, J. and Kumar, P.: Topographic Influence on the Seasonal and Interannual Variation of Water and Energy Balance of Basins in North America, J. Climate, 14, 1989–2014, 2001.
Ghan, S. J. and Shippert, T. R.: Physically-based global downscaling: Climate change projections for a full century, J. Clim., 19, 1589–1604,, 2006.
Ghan, S. J., Shippert, T. R., and Fox, J.: Physically based global downscaling: Regional evaluation, J. Clim., 19, 429–445, 2006.
Kapnick, S. and Hall, A.: Causes of recent changes in western North American snowpack, Clim. Dynam., 38, 1885–1899,, 2012.
Short summary
Motivated by the significant topographic influence on land surface processes, this study explored two methods to discretize watersheds into two types of subgrid structures to capture spatial heterogeneity for land surface models. Adopting geomorphologic concepts in watershed discretization yields improved capability in capturing subgrid topographic heterogeneity, which also allowed climatic and land cover variability to be better represented with a nominal increase in computational requirements.