Articles | Volume 24, issue 1
https://doi.org/10.5194/hess-24-349-2020
https://doi.org/10.5194/hess-24-349-2020
Research article
 | 
24 Jan 2020
Research article |  | 24 Jan 2020

On the configuration and initialization of a large-scale hydrological land surface model to represent permafrost

Mohamed E. Elshamy, Daniel Princz, Gonzalo Sapriza-Azuri, Mohamed S. Abdelhamed, Al Pietroniro, Howard S. Wheater, and Saman Razavi

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Cited articles

Alexeev, V. A., Nicolsky, D. J., Romanovsky, V. E., and Lawrence, D. M.: An evaluation of deep soil configurations in the CLM3 for improved representation of permafrost, Geophys. Res. Lett., 34, L09502, https://doi.org/10.1029/2007GL029536, 2007. 
Arboleda-Obando, P.: Determinando los efectos del cambio climático y del cambio en usos del suelo en la Macro Cuenca Magdalena Cauca utilizando el modelo de suelo-superficie e hidrológico MESH, available at: http://bdigital.unal.edu.co/69823/1/1018438123.2018.pdf (last access: 18 April 2019), 2018. 
Bachu, S.: Basement heat flow in the Western Canada Sedimentary Basin, Tectonophysics, 222, 119–133, https://doi.org/10.1016/0040-1951(93)90194-O, 1993. 
Bahremand, A., Razavi, S., Pietroniro, A., Haghnegahdar, A., Princz, D., Gharari, S., Elshamy, M., and Tesemma, Z.: Application of MESH Land Surface-Hydrology Model to a Large River Basin in Iran Model Prospective works, in: Canadian Geophysical Union General Assembly, 10–14 June 2018, Niagara Falls, Canada, p. 3, 2018. 
Best, M. J., Pryor, M., Clark, D. B., Rooney, G. G., Essery, R. L. H., Ménard, C. B., Edwards, J. M., Hendry, M. A., Porson, A., Gedney, N., Mercado, L. M., Sitch, S., Blyth, E., Boucher, O., Cox, P. M., Grimmond, C. S. B., and Harding, R. J.: The Joint UK Land Environment Simulator (JULES), model description – Part 1: Energy and water fluxes, Geosci. Model Dev., 4, 677–699, https://doi.org/10.5194/gmd-4-677-2011, 2011. 
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Short summary
Permafrost is an important feature of cold-region hydrology and needs to be properly represented in hydrological and land surface models (H-LSMs), especially under the observed and expected climate warming trends. This study aims to devise a robust, yet computationally efficient, initialization and parameterization approach for permafrost. We used permafrost observations from three sites along the Mackenzie River valley spanning different permafrost classes to test the validity of the approach.