首页|Data-driven spatiotemporal projections of shallow permafrost based on CMIP6 across the Qinghai-Tibet Plateau at 1 km2 scale

Data-driven spatiotemporal projections of shallow permafrost based on CMIP6 across the Qinghai-Tibet Plateau at 1 km2 scale

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  • 国家科技期刊平台
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  • NSTL
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The degradation of near-surface permafrost under ongoing climate change on the Qinghai-Tibet Plateau (QTP) is of growing concern due to its impacts on geomorphological and ecological processes,as well as human activities.There is an increased need for an in-depth understanding of the evolution of permafrost temperature (Ttop) and active-layer thickness (ALT) at a fine scale on the QTP under climate change.This study evaluated the permafrost thermal development over the QTP for the period 1980-2100 at a 1 kin2 scale using a physically analytical model accounting for both climatic and local environmental factors based on multi-source data,The model results were validated against thermal borehole measurements and baseline maps.The modeled current (2001-2018) permafrost area (Ttop ≤ 0 ℃) covers 1.42 × 106 km2 (ca.56.1％of the QTP land area),10.1％ of which thawed over the historical period 1981-2000.To assess how the ground thermal regime could develop in the future,we utilized the multi-model ensemble mean of downscaled outputs from eight climate models under three Shared Socio-economic Pathways (i.e.,SSP126,245,and 585) in CMIP6 to force the permafrost model.Model results suggest that the current (2001-2018) permafrost extent is likely to dramatically contract in the future period (2021-2100),as indicated by consistent Ttop warming and ALT increasing due to climate changing.About 26.9％,59.9％,80.1％ of the current permafrost is likely to disappear by the end of the 21st century under SSP126,SSP245,and SSP585 scenarios,respectively.The simulation results may further provide new opportunities to assess the future impacts of climate warming on environments and engineering development over the QTP.

Climate changeAnalytical modelPermafrost degradationActive-layerCMIP6Qinghai-Tibet Plateau (QTP)

YIN Guo-An、NIU Fu-Jun、LIN Zhan-Ju、LUO Jing、LIU Ming-Hao

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State Key Laboratory of Frozen Soils Engineering,Northwest Institute of Eco-Environment and Resources,Chinese Academy of Sciences,Lanzhou 730000,China

Strategic Priority Research Program of the Chinese Academy of SciencesNational Natural Science Foundation of Chinaand CAS Light of West China Program.We thank the three anonymous reviewers for their valuable com-ments and suggestions that hel

XDA1907050441801037

2021

气候变化研究进展(英文版)
国家气候中心

气候变化研究进展(英文版)

CSCDSCI
影响因子：0.806
ISSN：1674-9278
年,卷(期)：2021.12(6)
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