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Title: Diagnostic and model dependent uncertainty of simulated Tibetan permafrost area

Abstract

We perform a land-surface model intercomparison to investigate how the simulation of permafrost area on the Tibetan Plateau (TP) varies among six modern stand-alone land-surface models (CLM4.5, CoLM, ISBA, JULES, LPJ-GUESS, UVic). Here, we also examine the variability in simulated permafrost area and distribution introduced by five different methods of diagnosing permafrost (from modeled monthly ground temperature, mean annual ground and air temperatures, air and surface frost indexes). There is good agreement (99 to 135 × 104km2) between the two diagnostic methods based on air temperature which are also consistent with the observation-based estimate of actual permafrost area (101 ×104km2). However the uncertainty (1 to 128 × 104km2) using the three methods that require simulation of ground temperature is much greater. Moreover simulated permafrost distribution on the TP is generally only fair to poor for these three methods (diagnosis of permafrost from monthly, and mean annual ground temperature, and surface frost index), while permafrost distribution using air-temperature-based methods is generally good. Model evaluation at field sites highlights specific problems in process simulations likely related to soil texture specification, vegetation types and snow cover. Models are particularly poor at simulating permafrost distribution using the definition that soil temperature remains at ormore » below 0°C for 24 consecutive months, which requires reliable simulation of both mean annual ground temperatures and seasonal cycle, and hence is relatively demanding. Although models can produce better permafrost maps using mean annual ground temperature and surface frost index, analysis of simulated soil temperature profiles reveals substantial biases. The current generation of land-surface models need to reduce biases in simulated soil temperature profiles before reliable contemporary permafrost maps and predictions of changes in future permafrost distribution can be made for the Tibetan Plateau.« less

Authors:
 [1];  [2];  [1];  [1];  [1];  [3];  [3]; ORCiD logo [4];  [5];  [6];  [7]; ORCiD logo [8];  [9]; ORCiD logo [10];  [11];  [12]; ORCiD logo [13];  [9]
  1. Beijing Normal Univ. (China)
  2. Beijing Normal Univ. (China); Alfred Wegener Inst. Helmholtz Centre for Polar and Marine Research, Potsdam (Germany)
  3. Chinese Academy of Sciences (CAS), Beijing (China)
  4. Lanzhou Univ. (China)
  5. Northwest Univ., Xi'an (China)
  6. National Center for Atmospheric Research, Boulder, CO (United States)
  7. Univ. of Alaska, Fairbanks, AK (United States)
  8. Lund Univ. (Sweden)
  9. Centre National de la Recherche Scientifique (CNRS), Toulouse Cedex (France)
  10. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
  11. Japan Agency for Marine-Earth Science and Technology, Yokohama (Japan)
  12. Univ. of Victoria, BC (Canada)
  13. Met Office Hadley Centre, Exeter (United Kingdom)
Publication Date:
Research Org.:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)
OSTI Identifier:
1471007
Grant/Contract Number:  
AC02-05CH11231
Resource Type:
Accepted Manuscript
Journal Name:
The Cryosphere (Online)
Additional Journal Information:
Journal Name: The Cryosphere (Online); Journal Volume: 10; Journal Issue: 1; Journal ID: ISSN 1994-0424
Publisher:
European Geosciences Union
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES

Citation Formats

Wang, W., Rinke, A., Moore, J. C., Cui, X., Ji, D., Li, Q., Zhang, N., Wang, C., Zhang, S., Lawrence, D. M., McGuire, A. D., Zhang, W., Delire, C., Koven, C., Saito, K., MacDougall, A., Burke, E., and Decharme, B. Diagnostic and model dependent uncertainty of simulated Tibetan permafrost area. United States: N. p., 2016. Web. doi:10.5194/tc-10-287-2016.
Wang, W., Rinke, A., Moore, J. C., Cui, X., Ji, D., Li, Q., Zhang, N., Wang, C., Zhang, S., Lawrence, D. M., McGuire, A. D., Zhang, W., Delire, C., Koven, C., Saito, K., MacDougall, A., Burke, E., & Decharme, B. Diagnostic and model dependent uncertainty of simulated Tibetan permafrost area. United States. doi:10.5194/tc-10-287-2016.
Wang, W., Rinke, A., Moore, J. C., Cui, X., Ji, D., Li, Q., Zhang, N., Wang, C., Zhang, S., Lawrence, D. M., McGuire, A. D., Zhang, W., Delire, C., Koven, C., Saito, K., MacDougall, A., Burke, E., and Decharme, B. Fri . "Diagnostic and model dependent uncertainty of simulated Tibetan permafrost area". United States. doi:10.5194/tc-10-287-2016. https://www.osti.gov/servlets/purl/1471007.
@article{osti_1471007,
title = {Diagnostic and model dependent uncertainty of simulated Tibetan permafrost area},
author = {Wang, W. and Rinke, A. and Moore, J. C. and Cui, X. and Ji, D. and Li, Q. and Zhang, N. and Wang, C. and Zhang, S. and Lawrence, D. M. and McGuire, A. D. and Zhang, W. and Delire, C. and Koven, C. and Saito, K. and MacDougall, A. and Burke, E. and Decharme, B.},
abstractNote = {We perform a land-surface model intercomparison to investigate how the simulation of permafrost area on the Tibetan Plateau (TP) varies among six modern stand-alone land-surface models (CLM4.5, CoLM, ISBA, JULES, LPJ-GUESS, UVic). Here, we also examine the variability in simulated permafrost area and distribution introduced by five different methods of diagnosing permafrost (from modeled monthly ground temperature, mean annual ground and air temperatures, air and surface frost indexes). There is good agreement (99 to 135 × 104km2) between the two diagnostic methods based on air temperature which are also consistent with the observation-based estimate of actual permafrost area (101 ×104km2). However the uncertainty (1 to 128 × 104km2) using the three methods that require simulation of ground temperature is much greater. Moreover simulated permafrost distribution on the TP is generally only fair to poor for these three methods (diagnosis of permafrost from monthly, and mean annual ground temperature, and surface frost index), while permafrost distribution using air-temperature-based methods is generally good. Model evaluation at field sites highlights specific problems in process simulations likely related to soil texture specification, vegetation types and snow cover. Models are particularly poor at simulating permafrost distribution using the definition that soil temperature remains at or below 0°C for 24 consecutive months, which requires reliable simulation of both mean annual ground temperatures and seasonal cycle, and hence is relatively demanding. Although models can produce better permafrost maps using mean annual ground temperature and surface frost index, analysis of simulated soil temperature profiles reveals substantial biases. The current generation of land-surface models need to reduce biases in simulated soil temperature profiles before reliable contemporary permafrost maps and predictions of changes in future permafrost distribution can be made for the Tibetan Plateau.},
doi = {10.5194/tc-10-287-2016},
journal = {The Cryosphere (Online)},
number = 1,
volume = 10,
place = {United States},
year = {2016},
month = {2}
}

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Works referenced in this record:

Permafrost and groundwater on the Qinghai-Tibet Plateau and in northeast China
journal, December 2012


LGM permafrost distribution: how well can the latest PMIP multi-model ensembles perform reconstruction?
journal, January 2013


Soil Organic Carbon Pools and Stocks in Permafrost-Affected Soils on the Tibetan Plateau
journal, February 2013


Permafrost degradation and its environmental effects on the Tibetan Plateau: A review of recent research
journal, November 2010


Vulnerability of Permafrost Carbon to Climate Change: Implications for the Global Carbon Cycle
journal, September 2008

  • Schuur, Edward A. G.; Bockheim, James; Canadell, Josep G.
  • BioScience, Vol. 58, Issue 8
  • DOI: 10.1641/B580807

Distribution of Permafrost in China: An Overview of Existing Permafrost Maps: Distribution of Permafrost in China
journal, October 2012

  • Ran, Youhua; Li, Xin; Cheng, Guodong
  • Permafrost and Periglacial Processes, Vol. 23, Issue 4
  • DOI: 10.1002/ppp.1756

Ground temperature monitoring and its recent change in Qinghai–Tibet Plateau
journal, April 2004


Diagnosing Present and Future Permafrost from Climate Models
journal, August 2013


The Common Land Model
journal, August 2003

  • Dai, Yongjiu; Zeng, Xubin; Dickinson, Robert E.
  • Bulletin of the American Meteorological Society, Vol. 84, Issue 8
  • DOI: 10.1175/BAMS-84-8-1013

A Coefficient of Agreement for Nominal Scales
journal, April 1960


The role of land surface dynamics in glacial inception: a study with the UVic Earth System Model
journal, December 2003


Simulation of permafrost and seasonally frozen ground conditions on the Tibetan Plateau, 1981-2010: CHANGE IN FROZEN GROUND
journal, June 2013

  • Guo, Donglin; Wang, Huijun
  • Journal of Geophysical Research: Atmospheres, Vol. 118, Issue 11
  • DOI: 10.1002/jgrd.50457

Permafrost mapping: a review
journal, December 2002

  • Heginbottom, J. Alan
  • Progress in Physical Geography: Earth and Environment, Vol. 26, Issue 4
  • DOI: 10.1191/0309133302pp355ra

Changes in active layer thickness over the Qinghai-Tibetan Plateau from 1995 to 2007
journal, January 2010

  • Wu, Qingbai; Zhang, Tingjun
  • Journal of Geophysical Research, Vol. 115, Issue D9
  • DOI: 10.1029/2009JD012974

A new fractional snow-covered area parameterization for the Community Land Model and its effect on the surface energy balance: CLM SNOW COVER FRACTION
journal, November 2012

  • Swenson, S. C.; Lawrence, D. M.
  • Journal of Geophysical Research: Atmospheres, Vol. 117, Issue D21
  • DOI: 10.1029/2012JD018178

Terrestrial vegetation and water balance—hydrological evaluation of a dynamic global vegetation model
journal, January 2004


Improved modeling of permafrost dynamics in a GCM land-surface scheme: MODELING PERMAFROST DYNAMICS IN ALASKA BY CLM3
journal, April 2007

  • Nicolsky, D. J.; Romanovsky, V. E.; Alexeev, V. A.
  • Geophysical Research Letters, Vol. 34, Issue 8
  • DOI: 10.1029/2007GL029525

Assessment of model estimates of land-atmosphere CO 2 exchange across Northern Eurasia
journal, January 2015


The numerical scheme development of a simplified frozen soil model
journal, September 2009


Comparing global vegetation maps with the Kappa statistic
journal, August 1992


The Joint UK Land Environment Simulator (JULES), model description – Part 1: Energy and water fluxes
journal, January 2011

  • Best, M. J.; Pryor, M.; Clark, D. B.
  • Geoscientific Model Development, Vol. 4, Issue 3
  • DOI: 10.5194/gmd-4-677-2011

Analysis of Permafrost Thermal Dynamics and Response to Climate Change in the CMIP5 Earth System Models
journal, March 2013


Sensitivities and uncertainties of modeled ground temperatures in mountain environments
journal, January 2013

  • Gubler, S.; Endrizzi, S.; Gruber, S.
  • Geoscientific Model Development, Vol. 6, Issue 4
  • DOI: 10.5194/gmd-6-1319-2013

Permafrost changes and engineering stability in Qinghai-Xizang Plateau
journal, December 2012


A comparison of 1701 snow models using observations from an alpine site
journal, May 2013


The soil moisture distribution, thawing–freezing processes and their effects on the seasonal transition on the Qinghai–Xizang (Tibetan) plateau
journal, February 2003


Description and basic evaluation of Beijing Normal University Earth System Model (BNU-ESM) version 1
journal, January 2014


Permafrost environment monitoring on the Qinghai-Tibet Plateau using time series ASAR images
journal, June 2014


A projection of permafrost degradation on the Tibetan Plateau during the 21st century: PROJECTION OF PERMAFROST DEGRADATION
journal, March 2012

  • Guo, Donglin; Wang, Huijun; Li, Duo
  • Journal of Geophysical Research: Atmospheres, Vol. 117, Issue D5
  • DOI: 10.1029/2011JD016545

Recent ground surface warming and its effects on permafrost on the central Qinghai-Tibet Plateau
journal, March 2012

  • Wu, Tonghua; Zhao, Lin; Li, Ren
  • International Journal of Climatology, Vol. 33, Issue 4
  • DOI: 10.1002/joc.3479

Local evaluation of the Interaction between Soil Biosphere Atmosphere soil multilayer diffusion scheme using four pedotransfer functions
journal, January 2011

  • Decharme, B.; Boone, A.; Delire, C.
  • Journal of Geophysical Research, Vol. 116, Issue D20
  • DOI: 10.1029/2011JD016002

Sensitivity of a model projection of near-surface permafrost degradation to soil column depth and representation of soil organic matter
journal, January 2008

  • Lawrence, David M.; Slater, Andrew G.; Romanovsky, Vladimir E.
  • Journal of Geophysical Research, Vol. 113, Issue F2
  • DOI: 10.1029/2007JF000883

The Representation of Snow in Land Surface Schemes: Results from PILPS 2(d)
journal, February 2001


Effects of permafrost thawing on vegetation and soil carbon pool losses on the Qinghai–Tibet Plateau, China
journal, January 2008


Snow depth derived from passive microwave remote-sensing data in China
journal, January 2008


Derivation and analysis of a high-resolution estimate of global permafrost zonation
journal, January 2012


An evaluation of deep soil configurations in the CLM3 for improved representation of permafrost: HOW DEEP SHOULD THE CLM3 SOIL LAYER BE?
journal, May 2007

  • Alexeev, V. A.; Nicolsky, D. J.; Romanovsky, V. E.
  • Geophysical Research Letters, Vol. 34, Issue 9
  • DOI: 10.1029/2007GL029536

Degradation of permafrost in the Xing'anling Mountains, northeastern China
journal, January 2007

  • Jin, Huijun; Yu, Qihao; Lü, Lanzhi
  • Permafrost and Periglacial Processes, Vol. 18, Issue 3
  • DOI: 10.1002/ppp.589

Simulation of permafrost and seasonal thaw depth in the JULES land surface scheme
journal, January 2011


A Computational Method for Prediction and Regionalization of Permafrost
journal, August 1987

  • Nelson, Frederick E.; Outcalt, Samuel I.
  • Arctic and Alpine Research, Vol. 19, Issue 3
  • DOI: 10.2307/1551363

A moving-point approach to model shallow ice sheets: a study case with radially symmetrical ice sheets
journal, January 2016

  • Bonan, B.; Baines, M. J.; Nichols, N. K.
  • The Cryosphere, Vol. 10, Issue 1
  • DOI: 10.5194/tc-10-1-2016

    Works referencing / citing this record:

    Permafrost variability over the Northern Hemisphere based on the MERRA-2 reanalysis
    journal, January 2019


    Permafrost variability over the Northern Hemisphere based on the MERRA-2 reanalysis
    journal, January 2019