2018
DOI: 10.1002/joc.5770
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Estimation of permafrost on the Tibetan Plateau under current and future climate conditions using the CMIP5 data

Abstract: Permafrost has significant impacts on climate change through its strong interaction with the climate system. In order to better understand the permafrost variation and the role it plays in climate change, model outputs from Phase 5 of the Coupled Model Intercomparison Project (CMIP5) are used in the present study to diagnose the near‐surface permafrost on the Tibetan Plateau (TP), assess the abilities of the models to simulate present‐day (1986–2005) permafrost and project future permafrost change on the TP un… Show more

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Cited by 30 publications
(34 citation statements)
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References 46 publications
(61 reference statements)
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“…The result is basically consistent with the projected change by Chang et al. (2018, Figure 8). Permafrost is in non‐equilibrium under the influence of climate change, and there may be no permafrost that is driven by the current climate.…”
Section: Resultssupporting
confidence: 92%
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“…The result is basically consistent with the projected change by Chang et al. (2018, Figure 8). Permafrost is in non‐equilibrium under the influence of climate change, and there may be no permafrost that is driven by the current climate.…”
Section: Resultssupporting
confidence: 92%
“…The graph is derived from Chang et al. (2018). Shaded areas show the standard deviations across the CMIP5 models, the black lines show the equivalent present‐day area, and the gray dotted line represent the degraded area in 2070 (red dot) under different Representative Concentration Pathway scenarios (RCPs).…”
Section: Resultsmentioning
confidence: 99%
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“…For the permafrost, however, the active layer thickness (ALT) has decreased with the average value of 2.30 m (Qin et al ., 2017). The reduction of permafrost in the TP is predicted to be accelerated in the 2,100 s (Guo and Wang, 2016) and the permafrost will only exist in the northwest TP (Chang et al ., 2018). These efforts have significantly advanced the model performance and deepened our understanding of freeze/thaw process occurred in surface of the TP.…”
Section: Introductionmentioning
confidence: 99%