Articles | Volume 10, issue 1
https://doi.org/10.5194/tc-10-287-2016
https://doi.org/10.5194/tc-10-287-2016
Research article
 | 
05 Feb 2016
Research article |  | 05 Feb 2016

Diagnostic and model dependent uncertainty of simulated Tibetan permafrost area

W. Wang, A. Rinke, J. C. Moore, X. Cui, D. Ji, Q. Li, N. Zhang, C. Wang, S. Zhang, D. M. Lawrence, A. D. McGuire, W. Zhang, C. Delire, C. Koven, K. Saito, A. MacDougall, E. Burke, and B. Decharme

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Cited articles

Alexeev, V., Nicolsky, D., Romanovsky, V., and Lawrence, D.: 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.
AWFA: Data format handbook for AGRMET, available at: http://www.mmm.ucar.~edu/mm5/documents/DATA_FORMAT_HANDBOOK.pdf (last access: 20 January 2010), 2002.
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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Che, T., Li, X., Jin, R., Armstrong, R., and Zhang, T. J.: Snow depth derived from passive microwave remote-sensing data in China, Ann. Glaciol., 49, 145–154, 2008.
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Short summary
We use a model-ensemble approach for simulating permafrost on the Tibetan Plateau. We identify the uncertainties across models (state-of-the-art land surface models) and across methods (most commonly used methods to define permafrost).

We differentiate between uncertainties stemming from climatic driving data or from physical process parameterization, and show how these uncertainties vary seasonally and inter-annually, and how estimates are subject to the definition of permafrost used.