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DOI10.5194/tc-13-2853-2019
A distributed temperature profiling method for assessing spatial variability in ground temperatures in a discontinuous permafrost region of Alaska
Léger E.; Dafflon B.; Robert Y.; Ulrich C.; Peterson J.E.; Biraud S.C.; Romanovsky V.E.; Hubbard S.S.
发表日期2019
ISSN19940416
EISSN13
起始页码2853
结束页码2867
卷号13期号:11
英文摘要Soil temperature has been recognized as a property that strongly influences a myriad of hydro-biogeochemical processes and reflects how various properties modulate the soil thermal flux. In spite of its importance, our ability to acquire soil temperature data with high spatial and temporal resolution and coverage is limited because of the high cost of equipment, the difficulties of deployment, and the complexities of data management. Here we propose a new strategy that we call distributed temperature profiling (DTP) for improving the characterization and monitoring near-surface thermal properties through the use of an unprecedented number of laterally and vertically distributed temperature measurements. We developed a prototype DTP system, which consists of inexpensive, low-impact, low-power, and vertically resolved temperature probes that independently and autonomously record soil temperature. The DTP system concept was tested by moving sequentially the system across the landscape to identify near-surface permafrost distribution in a discontinuous permafrost environment near Nome, Alaska, during the summertime. Results show that the DTP system enabled successful acquisition of vertically resolved profiles of summer soil temperature over the top 0.8 m at numerous locations. DTP also enabled high-resolution identification and lateral delineation of near-surface permafrost locations from surrounding zones with no permafrost or deep permafrost table locations overlain by a perennially thawed layer. The DTP strategy overcomes some of the limitations associated with - and complements the strengths of - borehole-based soil temperature sensing as well as fiber-optic distributed temperature sensing (FO-DTS) approaches. Combining DTP data with co-located topographic and vegetation maps obtained using unmanned aerial vehicle (UAV) and electrical resistivity tomography (ERT) data allowed us to identify correspondences between surface and subsurface property distribution and in particular between topography, vegetation, shallow soil properties, and near-surface permafrost. Finally, the results highlight the considerable value of the newly developed DTP strategy for investigating the significant variability in and complexity of subsurface thermal and hydrological regimes in discontinuous permafrost regions. © Author(s) 2019.
学科领域hydrological regime; landscape; permafrost; soil temperature; spatial variation; Alaska; Nome; United States
语种英语
scopus关键词hydrological regime; landscape; permafrost; soil temperature; spatial variation; Alaska; Nome; United States
来源期刊The Cryosphere
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/118816
作者单位Lawrence Berkeley National Laboratory, Berkeley, CA 94720, United States; Geophysical Institute, University of Alaska Fairbanks, Fairbanks, AK 99775, United States
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Léger E.,Dafflon B.,Robert Y.,et al. A distributed temperature profiling method for assessing spatial variability in ground temperatures in a discontinuous permafrost region of Alaska[J],2019,13(11).
APA Léger E..,Dafflon B..,Robert Y..,Ulrich C..,Peterson J.E..,...&Hubbard S.S..(2019).A distributed temperature profiling method for assessing spatial variability in ground temperatures in a discontinuous permafrost region of Alaska.The Cryosphere,13(11).
MLA Léger E.,et al."A distributed temperature profiling method for assessing spatial variability in ground temperatures in a discontinuous permafrost region of Alaska".The Cryosphere 13.11(2019).
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