Articles | Volume 10, issue 1
The Cryosphere, 10, 287–306, 2016
https://doi.org/10.5194/tc-10-287-2016
The Cryosphere, 10, 287–306, 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 et al.

Related authors

Evaluation of snow depth and snow cover over the Tibetan Plateau in global reanalyses using in situ and satellite remote sensing observations
Yvan Orsolini, Martin Wegmann, Emanuel Dutra, Boqi Liu, Gianpaolo Balsamo, Kun Yang, Patricia de Rosnay, Congwen Zhu, Wenli Wang, Retish Senan, and Gabriele Arduini
The Cryosphere, 13, 2221–2239, https://doi.org/10.5194/tc-13-2221-2019,https://doi.org/10.5194/tc-13-2221-2019, 2019
Short summary
Evaluation of air–soil temperature relationships simulated by land surface models during winter across the permafrost region
Wenli Wang, Annette Rinke, John C. Moore, Duoying Ji, Xuefeng Cui, Shushi Peng, David M. Lawrence, A. David McGuire, Eleanor J. Burke, Xiaodong Chen, Bertrand Decharme, Charles Koven, Andrew MacDougall, Kazuyuki Saito, Wenxin Zhang, Ramdane Alkama, Theodore J. Bohn, Philippe Ciais, Christine Delire, Isabelle Gouttevin, Tomohiro Hajima, Gerhard Krinner, Dennis P. Lettenmaier, Paul A. Miller, Benjamin Smith, Tetsuo Sueyoshi, and Artem B. Sherstiukov
The Cryosphere, 10, 1721–1737, https://doi.org/10.5194/tc-10-1721-2016,https://doi.org/10.5194/tc-10-1721-2016, 2016
Short summary

Related subject area

Frozen Ground
Towards accurate quantification of ice content in permafrost of the Central Andes – Part 2: An upscaling strategy of geophysical measurements to the catchment scale at two study sites
Tamara Mathys, Christin Hilbich, Lukas U. Arenson, Pablo A. Wainstein, and Christian Hauck
The Cryosphere, 16, 2595–2615, https://doi.org/10.5194/tc-16-2595-2022,https://doi.org/10.5194/tc-16-2595-2022, 2022
Short summary
Long-term analysis of cryoseismic events and associated ground thermal stress in Adventdalen, Svalbard
Rowan Romeyn, Alfred Hanssen, and Andreas Köhler
The Cryosphere, 16, 2025–2050, https://doi.org/10.5194/tc-16-2025-2022,https://doi.org/10.5194/tc-16-2025-2022, 2022
Short summary
Brief communication: Improving ERA5-Land soil temperature in permafrost regions using an optimized multi-layer snow scheme
Bin Cao, Gabriele Arduini, and Ervin Zsoter
The Cryosphere Discuss., https://doi.org/10.5194/tc-2022-71,https://doi.org/10.5194/tc-2022-71, 2022
Revised manuscript accepted for TC
Short summary
Seismic physics-based characterization of permafrost sites using surface waves
Hongwei Liu, Pooneh Maghoul, and Ahmed Shalaby
The Cryosphere, 16, 1157–1180, https://doi.org/10.5194/tc-16-1157-2022,https://doi.org/10.5194/tc-16-1157-2022, 2022
Short summary
Three in one: GPS-IR measurements of ground surface elevation changes, soil moisture, and snow depth at a permafrost site in the northeastern Qinghai–Tibet Plateau
Jiahua Zhang, Lin Liu, Lei Su, and Tao Che
The Cryosphere, 15, 3021–3033, https://doi.org/10.5194/tc-15-3021-2021,https://doi.org/10.5194/tc-15-3021-2021, 2021
Short summary

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.
Brown, J., Ferrians, O., Heginbottom, J., and Melnikov, E.: Circum-Arctic map of permafrost and ground-ice conditions, Circum-Pacific Map, US Geological Survey, Reston, USA, 1997.
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.
Download
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.