%0 Dataset
%T Distribution of Permafrost in the Arctic Circle, Annual Average Ground Temperature, and Changes in Active Layer Thickness (1980-2019)
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/4ba7d43e-51a9-4f61-9895-b10739f62bc2
%W NCDC
%R 10.12072/ncdc.arctic-change.db7133.2026
%A WU Tonghua
%K Permafrost;Active Layer Thickness;Mean Annual Ground Temperature;Machine Learning
%X Permafrost is one of the most sensitive components of the geosphere under global change, and its thermal dynamics directly influence surface energy and water balance, ecosystem processes, and carbon cycle feedbacks. Accurately characterizing the spatial distribution of permafrost, mean annual ground temperature (MAGT), and active layer thickness (ALT), as well as their long-term evolution, is essential for understanding the response of high-latitude regions to climate warming and for predicting future environmental risks. This dataset is derived from permafrost monitoring records provided by the Global Terrestrial Network for Permafrost (GTN-P) and the Circumpolar Active Layer Monitoring (CALM) program, using MAGT and ALT as core indicators. Multiple environmental factors, including topography, climate, soil, and vegetation, were integrated, and several machine learning algorithms were tested to construct predictive models, with the best-performing model selected through cross-validation for spatial mapping. The dataset covers the pan-Arctic region north of 45°N during 1980–2019, reconstructed at 5-year intervals (1980–1984, 1985–1989, 1990–1994, 1995–1999, 2000–2004, 2005–2009, 2010–2014, 2015–2019) with a spatial resolution of 1 km.