%0 Dataset
%T Annual Temperature Dataset for Different Cities and Counties on the Loess Plateau (2015–2100)
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/05a4b51d-9d2e-485f-8ca6-6a7da9877ab6
%W NCDC
%R 10.12072/ncdc.loess.db7335.2026
%A ZHANG Baoqing 
%K temperature;long term
%X Temperature time series data are crucial fundamental data for global and regional climate research, hydrological modeling, and ecosystem assessments. However, existing temperature data series for cities and counties are generally short in duration. This creates uncertainty in assessing long-term temperature dynamics and trends at regional scales, especially for local administrative units such as cities and counties.This study utilizes future scenario data from global climate models, including ACCESS-ESM1-5, IPSL-CM6A-LR, and MIROC-ES2L, to generate a future gridded temperature data product for various cities and counties on the Loess Plateau (e.g., Yan'an City, Lanzhou City, Tianshui City) covering the period from 2015 to 2100.The core advantage of this dataset lies in its provision of a long-term, 86-year temperature data series from 2015 to 2100. This complete, extended temporal record facilitates the detailed analysis of local climatic responses to global change, thereby providing a solid data foundation for long-term climate risk assessment and adaptation planning at the city and county scale.The dataset is stored in Excel format (*.xlsx). Different worksheets contain future air temperature data for different cities and counties. ACCESS-ESM1-5, IPSL-CM6A-LR and MIROC-ES2L are different climate models, and ssp126, ssp245, ssp585 represent different emission scenarios. The data adopts annual temporal resolution and covers the period from 2015 to 2100.