Uncertainties in global permafrost area extent estimates from different methods

Previous permafrost extent estimates applied one or two methods to calculate the permafrost area, and the uncertainties between the methods were not assessed. Here, we apply seven methods to estimate and project global permafrost area extent and discuss the uncertainties of each approach. These methods are forced with output from CMIP6 and ERA5-Land, and we quantify the seven methods’ differences and uncertainties. During the historical period (1981–2010), the mean global permafrost area from multiple methods is 14.1 ± 4.5 × 10 6 km 2 , with differences ranging from 2.1% to 31.2%. The variability in future permafrost area extent degradation relative to the historical period based on different methods ranges from 1.8% to 34.7%. Uncertainties in permafrost area extent estimates can reach 35% based on different methods. Under various future emission pathways ( e.g. , SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5), the worst-case scenario (SSP5-8.5) projects a permafrost extent of only 1.3–8.2 × 10 6 km 2 for 2070–2099, corresponding to area decreases of 51.2%–86.9%. Spatially, permafrost near the lower-latitude permafrost boundary may completely disappear by the end of the 21st century, while degradation in the circum-Arctic, Qinghai–Tibet Plateau, and Antarctica will be smaller, but still exceed 50% under the highest emission scenario (SSP5-8.5). Compared to the temperature distribution of existing permafrost maps, the temperature at top of permafrost model and the surface frost index using ground temperature adjusted for snow methods perform best. However, compared to in-situ boreholes, two generalized linear model approaches have the best overall accuracy. These uncertainties using different methods are important to recognize in assessments of the future state of permafrost degradation.

Authors

Institutions

Publication Details

Journal
Advances in Climate Change Research
Published
2025-03-25
DOI
https://doi.org/10.1016/j.accre.2025.03.008
Citations
1
Primary Topic
Climate change and permafrost
Type
article
Field-Weighted Citation Impact
1.30
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Uncertainties in global permafrost area extent estimates from different methods

Xuanjia Li, Guanqun Chen, Hao Sun, Xiaoqing Peng et al.
1 citations
Advances in Climate Change Research
Climate change and permafrost
1.30
article

Uncertainties in global permafrost area extent estimates from different methods

Xuanjia Li, Guanqun Chen, Hao Sun, Xiaoqing Peng, Cuicui Mu, Guangshang Yang, Weiwei Tian, Gang Wei, Oliver W. Frauenfeld, Yuan Huang
article en
1 citations

Abstract

Previous permafrost extent estimates applied one or two methods to calculate the permafrost area, and the uncertainties between the methods were not assessed. Here, we apply seven methods to estimate and project global permafrost area extent and discuss the uncertainties of each approach. These methods are forced with output from CMIP6 and ERA5-Land, and we quantify the seven methods’ differences and uncertainties. During the historical period (1981–2010), the mean global permafrost area from multiple methods is 14.1 ± 4.5 × 10 6 km 2 , with differences ranging from 2.1% to 31.2%. The variability in future permafrost area extent degradation relative to the historical period based on different methods ranges from 1.8% to 34.7%. Uncertainties in permafrost area extent estimates can reach 35% based on different methods. Under various future emission pathways ( e.g. , SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5), the worst-case scenario (SSP5-8.5) projects a permafrost extent of only 1.3–8.2 × 10 6 km 2 for 2070–2099, corresponding to area decreases of 51.2%–86.9%. Spatially, permafrost near the lower-latitude permafrost boundary may completely disappear by the end of the 21st century, while degradation in the circum-Arctic, Qinghai–Tibet Plateau, and Antarctica will be smaller, but still exceed 50% under the highest emission scenario (SSP5-8.5). Compared to the temperature distribution of existing permafrost maps, the temperature at top of permafrost model and the surface frost index using ground temperature adjusted for snow methods perform best. However, compared to in-situ boreholes, two generalized linear model approaches have the best overall accuracy. These uncertainties using different methods are important to recognize in assessments of the future state of permafrost degradation.

Advances in Climate Change ResearchVol. 16(2)
Qinghai Meteorological Bureau (CN), Lanzhou University (CN), Texas A&M University (US)
Climate action
Openalex Percentile: Top 25%
Climate change and permafrost
1.30
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.