TY  - Data
T1  - Annual Temperature Dataset for Different Cities and Counties on the Loess Plateau (1982–2020)
A1  - ZHANG Baoqing 
DO  - 10.12072/ncdc.loess.db7333.2026
PY  - 2026
DA  - 2026-05-21
PB  - National Cryosphere Desert Data Center
AB  - Temperature time series data are fundamental and crucial 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 introduces uncertainty in assessing long-term temperature dynamics and trends at regional scales, particularly for local administrative units such as cities and counties. To address this, the present study utilizes version 1.7 of the China Meteorological Forcing Dataset (CMFD) to generate a historical air temperature data product for the Loess Plateau covering the period from 1982 to 2020. Historical temperature data for various cities and counties were then extracted from this product. The spatial coverage of the dataset spans from 33.75°N to 41.25°N in latitude and 100.95°E to 114.55°E in longitude. Compared to other datasets, the core advantage of this product lies in its provision of a long-term temperature data series spanning 39 years from 1982 to 2020. This complete, extended temporal record facilitates the detailed analysis of local climate 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 air temperature data of various cities and counties, with an annual temporal resolution spanning from 1982 to 2020.
DB  - NCDC
UR  - http://www.ncdc.ac.cn/portal/metadata/032e712b-4447-47f5-bc8f-03ed00e75926
ER  -