TY  - Data
T1  - A dataset of ground-based vertical profile observations of aerosol, NO2, and HCHO from the hyperspectral vertical remote sensing network in China (2019-2023)
A1  - Xing Chengzhi
A1  - Liu Cheng
DO  - 10.12072/ncdc.atmosphere.db7324.2026
PY  - 2026
DA  - 2026-05-19
PB  - National Cryosphere Desert Data Center
AB  - Vertical profile observations of atmospheric composition are crucial for understanding the generation, evolution, and transport of regional air pollution. However, existing technological limitations and costs have resulted in a scarcity of vertical profile data. This study introduces a high-time-resolution (approximately 15 minutes) dataset of vertical profile observations of atmospheric composition (aerosols, NO2, and HCHO) conducted using passive remote sensing technology across 32 sites in seven major regions of China from 2019 to 2023. The study meticulously documents the vertical distribution, seasonal variations and diurnal pattern of these pollutants, revealing long-term trends in atmospheric composition across various regions of China. This dataset provides essential scientific evidence for regional environmental management and policy-making. Its sharing would facilitate the scientific community in exploring of source-receptor relationships, investigating the impacts of atmospheric composition on regional and global climate and feedback mechanisms.
DB  - NCDC
UR  - http://www.ncdc.ac.cn/portal/metadata/abe1b9c9-5712-40b4-a517-436d568a982c
ER  -