%0 Dataset
%T A Dataset of Snow phenology for the next 30 years in Chongli Area of Winter Olympics Division
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/2671c3ce-f152-4e43-89a2-66f7968b95fc
%W NCDC
%R 10.12072/ncdc.I-SNOW.db1807.2022
%A None
%A None
%A Shao donghang
%A Ji Wenzheng
%A Li Hongyi
%K Winter Olympics;snow phenology;the next 30 years;cmip6
%X <pre><code>                    <pre><code>Snow phenology can reflect the dynamic changes of snow. In this study, snow phenology data such as snow days, first and last days of snow and continuous snow days in Chongli district from 2021 to 2050 are prepared to predict the snow situation in Chongli District in the next 30 years. The overall accuracy is 77% verified by Landsat 8 reference value.This data set can provide the reference of artificial snowfall for the development of Winter Olympic events, and guide the future ski resort operation, snow resource management, disaster monitoring and early warning, ski resort construction and extreme weather response. It is also conducive to further research on the future snow phenology and climate change in Chongli district.