4.7 Article

New high-resolution estimates of the permafrost thermal state and hydrothermal conditions over the Northern Hemisphere

Journal

EARTH SYSTEM SCIENCE DATA
Volume 14, Issue 2, Pages 865-884

Publisher

COPERNICUS GESELLSCHAFT MBH
DOI: 10.5194/essd-14-865-2022

Keywords

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Funding

  1. Strategic Priority Research Program of the Chinese Academy of Sciences [XDA19070204]
  2. National Natural Science Foundation of China [42071421]
  3. Academy of Finland [315519]
  4. Academy of Finland (AKA) [315519, 315519] Funding Source: Academy of Finland (AKA)

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Monitoring the thermal state of permafrost is crucial for environmental science and engineering applications. This study presents novel permafrost datasets for the Northern Hemisphere, providing predictions of mean annual ground temperature and active layer thickness, as well as estimates of permafrost occurrence and zonation based on hydrothermal conditions. These datasets, integrated with extensive field and geospatial data, are more accurate than previous circumpolar maps. They contribute to an updated understanding of permafrost in the Northern Hemisphere and have potential applications in various fields.
Monitoring the thermal state of permafrost (TSP) is important in many environmental science and engineering applications. However, such data are generally unavailable, mainly due to the lack of ground observations and the uncertainty of traditional physical models. This study produces novel permafrost datasets for the Northern Hemisphere (NH), including predictions of the mean annual ground temperature (MAGT) at the depth of zero annual amplitude (DZAA) (approximately 3 to 25 m) and active layer thickness (ALT) with 1 km resolution for the period of 2000-2016, as well as estimates of the probability of permafrost occurrence and permafrost zonation based on hydrothermal conditions. These datasets integrate unprecedentedly large amounts of field data (1002 boreholes for MAGT and 452 sites for ALT) and multisource geospatial data, especially remote sensing data, using statistical learning modeling with an ensemble strategy. Thus, the resulting data are more accurate than those of previous circumpolar maps (bias = 0 :02 +/- 0 :16 degrees C and RMSE = 1 :32 +/- 0 :13 degrees C for MAGT; bias = 2 :71 +/- 16 :46 cm and RMSE = 86 :93 +/- 19 :61 cm for ALT). The datasets suggest that the areal extent of permafrost (MAGT <= 0 degrees C) in the NH, excluding glaciers and lakes, is approximately 14.77 (13.60-18.97) x 10(6) km(2) and that the areal extent of permafrost regions (permafrost probability > 0) is approximately 19 :82 x 10(6) km(2). The areal fractions of humid, semiarid/subhumid, and arid permafrost regions are 51.56 %, 45.07 %, and 3.37 %, respectively. The areal fractions of cold (<= 3 :0 degrees C), cool (-3 :0 degrees C to -1 :5 degrees C), and warm ( > 1 :5 degrees C) permafrost regions are 37.80 %, 14.30 %, and 47.90 %, respectively. These new datasets based on the most comprehensive field data to date contribute to an updated understanding of the thermal state and zonation of permafrost in the NH. The datasets are potentially useful for various fields, such as climatology, hydrology, ecology, agriculture, public health, and engineering planning. All of the datasets are published through the National Tibetan Plateau Data Center (TPDC), and the link is https://doi.org/10.11888/Geocry.tpdc.271190 (Ran et al., 2021a).

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