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DOI | 10.1016/j.rse.2020.111927 |
Remote sensing spatiotemporal patterns of frozen soil and the environmental controls over the Tibetan Plateau during 2002–2016 | |
Zheng G.; Yang Y.; Yang D.; Dafflon B.; Yi Y.; Zhang S.; Chen D.; Gao B.; Wang T.![]() | |
发表日期 | 2020 |
ISSN | 00344257 |
卷号 | 247 |
英文摘要 | The changing climate is affecting the frozen soil at an unprecedented rate across the Northern Hemisphere. However, due to sparse ground measurements, the changes of frozen soil and the environmental controls over the vast cryosphere are still unclear, such as in the Tibetan Plateau (TP). In this study, a process-based model solely driven by satellite remote sensing data is employed to investigate the spatiotemporal changes of seasonally frozen ground and permafrost over the entire TP (~3 million km2) during 2002–2016 at a spatial resolution of 1 km. Comprehensive validations against in situ observations of frozen ground types, mean annual ground temperature, active layer thickness, soil temperature, and frozen depth at 608 boreholes and 109 meteorological stations demonstrate an overall satisfactory performance of the model in reproducing the spatial pattern and temporal evolution of the frozen soil in the region. Spatially, land surface temperature (LST; both in-season and off-season) primarily controls the frozen ground types and frozen depth, with seasonally frozen ground and permafrost covering ~56% and ~ 37% of the plateau, respectively. The estimated spatial-averaged annual maximum soil freeze depth (SFD) is ~1.29 m, and the annual maximum active layer thickness (ALT) of permafrost is ~1.85 m. Temporally, ALT shows an overall increasing trend at an average rate of +3.17 cm yr−1, while SFD exhibits both decreasing (at ~62% areas) and increasing (at ~38% areas) trends in the region. Again, LST is found to be the dominant factor that controls the temporal changes in both SFD and ALT while precipitation (i.e., both rainfall and snowfall) plays an important (especially in more arid areas and regions near the lower limit of permafrost) but secondary role. Our results demonstrate the advantages of the satellite-based method in frozen soil simulations over large scales with complex topography and landscape and highlight the important roles of both temperature and precipitation in shaping the frozen soil patterns on the TP or other cold, dry regions. © 2020 Elsevier Inc. |
英文关键词 | Climatic controls; Frozen soil; Permafrost; Process-based model; Satellite remote sensing; Seasonally frozen ground; Spatiotemporal patterns; Tibetan plateau |
语种 | 英语 |
scopus关键词 | Atmospheric temperature; Land surface temperature; Permafrost; Precipitation (meteorology); Remote sensing; Soil mechanics; Topography; Environmental control; In-situ observations; Meteorological station; Process-based modeling; Satellite remote sensing data; Seasonally frozen ground; Spatio-temporal changes; Spatiotemporal patterns; Soil surveys; active layer; climate change; cryosphere; environmental conditions; frozen ground; in situ measurement; Northern Hemisphere; permafrost; remote sensing; satellite data; spatial resolution; spatiotemporal analysis; China; Qinghai-Xizang Plateau |
来源期刊 | Remote Sensing of Environment
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/179247 |
作者单位 | State Key Laboratory of Hydroscience and Engineering, Department of Hydraulic Engineering, Tsinghua University, Beijing, 100084, China; Lawrence Berkeley National Laboratory, 1 Cyclotron Rd., Berkeley, CA 94720, United States; Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States; State Key Laboratory of Earth Surface Process and Resource Ecology, School of Natural Resources, Faculty of Geographical Science, Beijing Normal University, Beijing, China; Regional Climate Group, Department of Earth Sciences, University of Gothenburg, Gothenburg, Sweden; School of Water Resources and Environment, China University of Geosciences, Beijing, 100083, China; Northwest Institute of Eco-environment and Resource, Chinese Academy of Sciences, Lanzhou, 730000, China |
推荐引用方式 GB/T 7714 | Zheng G.,Yang Y.,Yang D.,等. Remote sensing spatiotemporal patterns of frozen soil and the environmental controls over the Tibetan Plateau during 2002–2016[J],2020,247. |
APA | Zheng G..,Yang Y..,Yang D..,Dafflon B..,Yi Y..,...&Wu Q..(2020).Remote sensing spatiotemporal patterns of frozen soil and the environmental controls over the Tibetan Plateau during 2002–2016.Remote Sensing of Environment,247. |
MLA | Zheng G.,et al."Remote sensing spatiotemporal patterns of frozen soil and the environmental controls over the Tibetan Plateau during 2002–2016".Remote Sensing of Environment 247(2020). |
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