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Earth System Science Data The Data Publishing Journal
https://doi.org/10.5194/essd-2018-54
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
 
09 May 2018
Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Earth System Science Data (ESSD).
A synthesis dataset of permafrost-affected soil thermal conditions for Alaska, USA
Kang Wang1, Elchin Jafarov2, Kevin Schaefer3, Irina Overeem1, Vladimir Romanovsky4, Gary Clow1,5, Frank Urban5, William Cable4,9, Mark Piper1, Christopher Schwalm6, Tingjun Zhang7, Alexander Kholodov4, Pamela Sousanes8, Michael Loso8, and Kenneth Hill8 1CSDMS, Institute of Arctic and Alpine Research, University of Colorado, Boulder, CO 80309, USA
2Los Alamos National Laboratory, Los Alamos, New Mexico, 87545, USA
3National Snow and Ice Data Center, Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, CO 80309, USA
4Geophysical Institute Permafrost Laboratory, University of Alaska, Fairbanks, AK 99775, USA
5U.S. Geological Survey, Lakewood, CO 80225, USA
6Woods Hole Research Center, Falmouth MA 02540, USA
7MOE Key Laboratory of Western China's Environmental Systems, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China
8National Park Service Arctic Central Alaska Inventory and Monitoring Networks Fairbanks, AK 99709
9Alfred Wegener Institute Helmholtz Center for Polar and Marine Research, 14473 Potsdam, Germany
Abstract. Recent observations of near-surface soil temperatures over the circumpolar Arctic show accelerated warming of permafrost-affected soils. A comprehensive near-surface permafrost temperature dataset is critical to better understand climate impacts and to constrain permafrost thermal conditions and spatial distribution in land system models. We compiled a soil temperatures 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° N to 71.3° N and elevations from near sea level to 1327 m, comprising tundra and boreal forest regions. This dataset consists of monthly ground temperatures at depth up to 1 m, volumetric soil water content, snow depth, and air temperature during 1997–2016. Due to the remoteness and harsh conditions, many stations have missing data. Overall, this dataset consists of 41,667 monthly values. These data have been quality controlled in collection and processing. Meanwhile, we implemented data harmonization validation for the processed dataset. The final product (PF-AK, v0.1) is available at the Arctic Data Center (https://doi.org/10.18739/A2KG55).
Citation: Wang, K., Jafarov, E., Schaefer, K., Overeem, I., Romanovsky, V., Clow, G., Urban, F., Cable, W., Piper, M., Schwalm, C., Zhang, T., Kholodov, A., Sousanes, P., Loso, M., and Hill, K.: A synthesis dataset of permafrost-affected soil thermal conditions for Alaska, USA, Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2018-54, in review, 2018.
Kang Wang et al.
Kang Wang et al.

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A synthesis dataset of near-surface permafrost conditions for Alaska, 1997–2016 K. Wang, I. Overeem, E. Jafarov, G. Clow, V. Romanovsky, K. Schaefer, F. Urban, W. Cable, M. Piper, C. Schwalm, T. Zhang, A. Kholodov, P. Sousanes, M. Loso, D. Swanson, and K. Hill https://doi.org/10.18739/A2KG55
Kang Wang et al.

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Short summary
Ground thermal and moisture data are important indicators of the rapid permafrost changes in the Arctic. To better understand the changes, we need a comprehensive dataset across various sites. We provide a first synthesis permafrost data in the state of Alaska. It should be a valuable permafrost dataset and worth maintaining in the future. Widely, it also provides a prototype of basic data collection and management for permafrost regions.
Ground thermal and moisture data are important indicators of the rapid permafrost changes in the...
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