%0 Dataset
%T The Arctic Land Natural Disaster Risk Dataset from 1980 to 2020
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/d49ceb0d-3c8e-44d4-aed0-9a3e7f00ad29
%W NCDC
%R 10.12072/ncdc.arctic-change.db7129.2026
%A Liu Jifu
%A Zhu Wenquan
%K Cryosphere disasters;natural disasters;snow disasters
%X This dataset conducts a systematic assessment of natural disaster risks on Arctic land, filling the gap in comprehensive risk data for multiple disasters in the region. The study is based on multi-source data from 1980 to 2020, including CPC global precipitation and temperature data, NOAA reanalysis wind speed and snow data, LandScan population density data, and basic geographic information data. Statistical analysis and normalization were performed using tools such as ArcGIS, ENVI, Matlab, etc., to construct three single disaster datasets for snow disaster risk, susceptibility of hot karst lakes, and high temperature heat wave risk in the Arctic region. Furthermore, a comprehensive Arctic land disaster risk dataset from 1980 to 2020 was formed through spatial superposition. Among them, the risk of snow disasters covers multiple types of disaster causing factors and information on disaster bearing bodies, such as snowfall frequency, snow depth, and wind speed; The susceptibility of hot karst lakes is based on a random forest model, with an accuracy of 0.83 and an AUC of 0.90; The risk of high-temperature heat waves is based on probability distribution functions to extract temperature thresholds and generate four indicators: frequency, number of days, intensity, and amplitude. This dataset can provide important data support for natural disaster risk assessment, ecological security research, and climate change response in the Arctic region.