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DOI | 10.1029/2021GL092476 |
Quantifying Overestimated Permafrost Extent Driven by Rock Glacier Inventory | |
Cao, Bin; Li, Xin; Feng, Min; Zheng, Donghai | |
通讯作者 | Li, X (通讯作者) |
发表日期 | 2021 |
ISSN | 0094-8276 |
EISSN | 1944-8007 |
卷号 | 48期号:8 |
英文摘要 | Rock glaciers (RGs) are normally used as ground-truth observations to indicate the presence of permafrost, and hence extensively used in training permafrost distribution models. However, the unique structure and composition of RGs enhance ground cooling effects, leading to more favorable conditions for permafrost presence than in adjacent ground. We therefore hypothesized and confirmed that permafrost extent is overestimated using RG-driven models. The results indicate that the permafrost zonation index was overestimated by about 8.4%-13.1% in a model driven by RG observations compared to a model using in situ measurements of permafrost presence/absence. The bias is particularly pronounced in discontinuous permafrost region, where it is thought to be highly sensitive to climate change, resulting in about a 41.8%-90.8% overestimation in permafrost region and 7.0%-18.6% misclassification. In order to better use the large RG datasets available to understand permafrost conditions, we provide a method to correct this bias in a fundamental model. |
关键词 | TIBETAN PLATEAUEUROPEAN ALPSINDEX MAPMODELPHYSICSSHAN |
英文关键词 | permafrost; rock glacier; scale effects |
语种 | 英语 |
WOS研究方向 | Geology |
WOS类目 | Geosciences, Multidisciplinary |
WOS记录号 | WOS:000672324900084 |
来源期刊 | GEOPHYSICAL RESEARCH LETTERS
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来源机构 | 中国科学院青藏高原研究所 |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/260118 |
推荐引用方式 GB/T 7714 | Cao, Bin,Li, Xin,Feng, Min,et al. Quantifying Overestimated Permafrost Extent Driven by Rock Glacier Inventory[J]. 中国科学院青藏高原研究所,2021,48(8). |
APA | Cao, Bin,Li, Xin,Feng, Min,&Zheng, Donghai.(2021).Quantifying Overestimated Permafrost Extent Driven by Rock Glacier Inventory.GEOPHYSICAL RESEARCH LETTERS,48(8). |
MLA | Cao, Bin,et al."Quantifying Overestimated Permafrost Extent Driven by Rock Glacier Inventory".GEOPHYSICAL RESEARCH LETTERS 48.8(2021). |
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