A synthesis dataset of permafrost-affected soil thermal conditions for Alaska, USA
Abstract
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).
- Authors:
-
- Univ. of Colorado, Boulder, CO (United States). CSDMS. Inst. of Arctic and Alpine Research. Dept. of Geological Sciences
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
- Univ. of Alaska, Fairbanks, AK (United States). Geophysical Inst. Permafrost Lab.
- Univ. of Colorado, Boulder, CO (United States). National Snow and Ice Data Center. Cooperative Inst. for Research in Environmental Sciences
- U.S. Geological Survey, Lakewood, CO (United States)
- Univ. of Alaska, Fairbanks, AK (United States). Geophysical Inst. Permafrost Lab.; Alfred Wegener Inst., Helmholtz Centre for Polar and Marine Research, Potsdam (Germany)
- Woods Hole Research Center, Falmouth, MA (United States)
- 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)
- National Park Service Arctic Central Alaska Inventory and Monitoring Networks, Fairbanks, AK (United States)
- Publication Date:
- Research Org.:
- Los Alamos National Laboratory (LANL), Los Alamos, NM (United States); Univ. of Colorado, Boulder, CO (United States); Univ. of Alaska, Fairbanks, AK (United States); Lanzhou Univ. (China)
- Sponsoring Org.:
- USDOE; National Science Foundation (NSF); National Aeronautics and Space Administration (NASA); Chinese Academy of Sciences
- OSTI Identifier:
- 1503186
- Report Number(s):
- LA-UR-17-23049
Journal ID: ISSN 1866-3516
- Grant/Contract Number:
- 89233218CNA000001; 1503559; OPP-0120736; ARC-0632400; ARC-0520578; ARC-0612533; ARC-1304271; NNX16AB19G; XDA20100308
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Earth System Science Data (Online)
- Additional Journal Information:
- Journal Name: Earth System Science Data (Online); Journal Volume: 10; Journal Issue: 4; Journal ID: ISSN 1866-3516
- Publisher:
- Copernicus
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 58 GEOSCIENCES
Citation Formats
Wang, Kang, Jafarov, Elchin, Overeem, Irina, Romanovsky, Vladimir, Schaefer, Kevin, Clow, Gary, Urban, Frank, Cable, William, Piper, Mark, Schwalm, Christopher, Zhang, Tingjun, Kholodov, Alexander, Sousanes, Pamela, Loso, Michael, and Hill, Kenneth. A synthesis dataset of permafrost-affected soil thermal conditions for Alaska, USA. United States: N. p., 2018.
Web. doi:10.5194/essd-10-2311-2018.
Wang, Kang, Jafarov, Elchin, Overeem, Irina, Romanovsky, Vladimir, Schaefer, Kevin, Clow, Gary, Urban, Frank, Cable, William, Piper, Mark, Schwalm, Christopher, Zhang, Tingjun, Kholodov, Alexander, Sousanes, Pamela, Loso, Michael, & Hill, Kenneth. A synthesis dataset of permafrost-affected soil thermal conditions for Alaska, USA. United States. https://doi.org/10.5194/essd-10-2311-2018
Wang, Kang, Jafarov, Elchin, Overeem, Irina, Romanovsky, Vladimir, Schaefer, Kevin, Clow, Gary, Urban, Frank, Cable, William, Piper, Mark, Schwalm, Christopher, Zhang, Tingjun, Kholodov, Alexander, Sousanes, Pamela, Loso, Michael, and Hill, Kenneth. Fri .
"A synthesis dataset of permafrost-affected soil thermal conditions for Alaska, USA". United States. https://doi.org/10.5194/essd-10-2311-2018. https://www.osti.gov/servlets/purl/1503186.
@article{osti_1503186,
title = {A synthesis dataset of permafrost-affected soil thermal conditions for Alaska, USA},
author = {Wang, Kang and Jafarov, Elchin and Overeem, Irina and Romanovsky, Vladimir and Schaefer, Kevin and Clow, Gary and Urban, Frank and Cable, William and Piper, Mark and Schwalm, Christopher and Zhang, Tingjun and Kholodov, Alexander and Sousanes, Pamela and Loso, Michael and Hill, Kenneth},
abstractNote = {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).},
doi = {10.5194/essd-10-2311-2018},
journal = {Earth System Science Data (Online)},
number = 4,
volume = 10,
place = {United States},
year = {Fri Dec 21 00:00:00 EST 2018},
month = {Fri Dec 21 00:00:00 EST 2018}
}
Web of Science
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