EGU24-2100, updated on 08 Mar 2024
https://doi.org/10.5194/egusphere-egu24-2100
EGU General Assembly 2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

The start of frozen dates over northern permafrost regions with the changing climate

Jialing Li1, Chaoyang Wu2,3, Josep Peñuelas4,5, Youhua Ran6, and Yongguang Zhang1,7
Jialing Li et al.
  • 1International Institute for Earth System Sciences, Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing University, Nanjing, 210023, China; (jialing.li@smail.nju.edu.cn)
  • 2The Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China; (wucy@igsnrr.ac.cn)
  • 3University of the Chinese Academy of Sciences, Beijing, 100049, China; (wucy@igsnrr.ac.cn)
  • 4CSIC, Global Ecology Unit CREAF-CSIC-UAB, Bellaterra, Barcelona 08193, Catalonia, Spain; (josep.penuelas@uab.cat)
  • 5CREAF, Cerdanyola del Valles, Barcelona 08193, Catalonia, Spain; (josep.penuelas@uab.cat)
  • 6Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China; (ranyh@lzb.ac.cn)
  • 7Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Key Laboratory for Land Satellite Remote Sensing Applications of Ministry of Natural Resources, School of Geography and Ocean Science, Nanjing University, Nanjing, 210023,

Climate warming exerts important impacts on the freeze-thaw cycle in permafrost regions. Although increasing attention has been paid on understanding the responses of spring thawing to climate change, the mechanisms controlling the global interannual variability of the start date of permafrost frozen (SOF) remain unclear. Using long term SOF derived from the freeze–thaw Earth system data record (FT-ESDR) over 1979-2020, and analytical techniques, including partial correlation, ridge regression, path analysis, the Random Forest (RF) and SHapley Additive exPlanations (SHAP), we explored the responses of SOF to multiple climate factors, including warming (surface and air temperature), start date of permafrost thawing (SOT), soil properties (soil temperature and volume of water), and the snow depth water equivalent (SDWE). In summary, while climate warming exerted predominant influence on SOF, SOT in spring also played a significant role in shaping SOF variability. Among the observed 65.9% significant correlations between SOT and SOF, 79.3% were positive, indicating that an earlier thawing would contribute to an earlier frozen in winter. Machine learning analysis reinforced the significance of SOT as the second most crucial determinant of SOF. To elucidate the mechanism behind the SOT-SOF relationship, path analysis was employed, revealing that changes in soil temperature had the maximum impact on this relationship, irrespective of the permafrost type. Finally, we analyzed the temporal changes in these responses using the moving window approach and found an increasing influence of soil warming on SOF. In conclusion, these findings offer valuable insights for understanding and predicting variations in SOF in the context of future climate change.

How to cite: Li, J., Wu, C., Peñuelas, J., Ran, Y., and Zhang, Y.: The start of frozen dates over northern permafrost regions with the changing climate, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-2100, https://doi.org/10.5194/egusphere-egu24-2100, 2024.