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A synthesis dataset of permafrost-affected soil thermal conditions for Alaska, USA

Journal Article · · Earth System Science Data (Online)
 [1];  [2];  [1];  [3];  [4];  [1];  [5];  [6];  [1];  [7];  [8];  [3];  [9];  [9];  [9]
  1. Univ. of Colorado, Boulder, CO (United States). CSDMS. Inst. of Arctic and Alpine Research. Dept. of Geological Sciences
  2. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
  3. Univ. of Alaska, Fairbanks, AK (United States). Geophysical Inst. Permafrost Lab.
  4. Univ. of Colorado, Boulder, CO (United States). National Snow and Ice Data Center. Cooperative Inst. for Research in Environmental Sciences
  5. U.S. Geological Survey, Lakewood, CO (United States)
  6. Univ. of Alaska, Fairbanks, AK (United States). Geophysical Inst. Permafrost Lab.; Alfred Wegener Inst., Helmholtz Centre for Polar and Marine Research, Potsdam (Germany)
  7. Woods Hole Research Center, Falmouth, MA (United States)
  8. Lanzhou Univ. (China). MOE Key Lab. of Western China's Environmental Systems. College of Earth and Environmental Sciences; Univ. Cooperation for Polar Research (UCPR), Beijing (China)
  9. National Park Service Arctic Central Alaska Inventory and Monitoring Networks, Fairbanks, AK (United States)
+ Show Author Affiliations

Recent observations of near-surface soil temperatures over the circumpolar Arctic show accelerated warming of permafrost-affected soils. The availability of a comprehensive near-surface permafrost and active layer dataset is critical to better understanding climate impacts and to constraining permafrost thermal conditions and its spatial distribution in land system models. We compiled a soil temperature dataset from 72 monitoring stations in Alaska using data collected by the U.S. Geological Survey, the National Park Service, and the University of Alaska Fairbanks permafrost monitoring networks. The array of monitoring stations spans a large range of latitudes from 60.9 to 71.3°N and elevations from near sea level to ~1300 m, comprising tundra and boreal forest regions. This dataset consists of monthly ground temperatures at depths up to 1 m, volumetric soil water content, snow depth, and air temperature during 1997–2016. These data have been quality controlled in collection and processing. Meanwhile, we implemented data harmonization evaluation for the processed dataset. The final product (PF-AK, v0.1) is available at the Arctic Data Center (https://doi.org/10.18739/A2KG55).

Research Organization:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Univ. of Colorado, Boulder, CO (United States); Univ. of Alaska, Fairbanks, AK (United States); Lanzhou Univ. (China)
Sponsoring Organization:
USDOE; National Science Foundation (NSF) (United States); National Aeronautics and Space Administration (NASA) (United States); Chinese Academy of Sciences
Grant/Contract Number:
89233218CNA000001
OSTI ID:
1503186
Report Number(s):
LA-UR--17-23049
Journal Information:
Earth System Science Data (Online), Journal Name: Earth System Science Data (Online) Journal Issue: 4 Vol. 10; ISSN 1866-3516
Publisher:
CopernicusCopyright Statement
Country of Publication:
United States
Language:
English

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  • Networks, University Of Colorado Boulder;University Of Colorado, Boulder;Los Alamos National Laboratory;University Of Colorado, Boulder;University Of Alaska, Fairbanks;University Of Colorado, Boulder;University Of Colorado, Boulder;Alfred Wegener Institute Helmholtz Center For Polar And Marine Research;University Of Colorado, Boulder;Woods Hole Research Center;Lanzhou University;University Of Alaska, Fairbanks;National Park Service Arctic & Central Alaska Inventory And Monitoring Networks;National Park Service Arctic & Central Alaska Inventory And Monitoring Networks;National Park Service Arctic & Central Alaska Inventory And Monitoring Networks;National Park Service Arctic & Central Alaska Inventory And Monitoring
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Cited By (3)

The ERA5-Land soil temperature bias in permafrost regions journal August 2020
Estimation of subsurface porosities and thermal conductivities of polygonal tundra by coupled inversion of electrical resistivity, temperature, and moisture content data journal January 2020
Role of Surface Melt and Icing Events in Livestock Mortality across Mongolia’s Semi-Arid Landscape journal October 2019

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