TY - JOUR
T1 - Ground-based vertical profile observations of atmospheric composition on the Tibetan Plateau (2017-2019)
AU - Xing, Chengzhi
AU - Liu, Cheng
AU - Wu, Hongyu
AU - Lin, Jinan
AU - Wang, Fan
AU - Wang, Shuntian
AU - Gao, Meng
N1 - Funding Information:
Financial support. This research is supported by grants from the National Key Research and Development Program of China (grant nos. 2018YFC0213104, 2017YFC0210002, 2016YFC0203302 and 2017YFC0212800), National Natural Science Foundation of China (grant nos. 41722501, 91544212, 51778596, 41575021, 41977184 and 41875043), Anhui Science and Technology Major Project (grant no. 18030801111), Strategic Priority Research Program of the Chinese Academy of Sciences (grant no. XDA23020301), National Key Project for Causes and Control of Heavy Air Pollution (grant nos. DQGG0102 and DQGG0205), National High-Resolution Earth Observation Project of China (grant no. 05-Y30B01-9001-19/20-3), and Civil Aerospace Technology Advance Research Project (grant no. Y7K00100KJ).
Publisher Copyright:
© Author(s) 2021
PY - 2021/10/26
Y1 - 2021/10/26
N2 - The Tibetan Plateau (TP) plays an essential role in modulating regional and global climate, and its influence on climate is also affected by human-related processes, including changes in atmospheric composition. However, observations of atmospheric composition, especially vertical profile observations, remain sparse and rare on the TP, due to extremely high altitude, topographical heterogeneity and the grinding environment. Accordingly, the forcing and feedback of atmospheric composition from rapidly changing surrounding regions to regional environmental and climate change in the TP remains poorly understood. This paper introduces a hightime- resolution (~ 15 min) vertical profile observational dataset of atmospheric composition (aerosols, NO2, HCHO and HONO) on the TP for more than 1 year (2017-2019) using a passive remote sensing technique. The diurnal pattern, vertical distribution and seasonal variations of these pollutants are documented here in detail. The sharing of this dataset would benefit the scientific community in exploring source-receptor relationships and the forcing and feedback of atmospheric composition on the TP to the regional and global climate. It also provides potential to improve satellite retrievals and to facilitate the development and improvement of models in cold regions. The dataset is freely available at Zenodo (https://doi.org/10.5281/zenodo.5336460; Xing, 2021).
AB - The Tibetan Plateau (TP) plays an essential role in modulating regional and global climate, and its influence on climate is also affected by human-related processes, including changes in atmospheric composition. However, observations of atmospheric composition, especially vertical profile observations, remain sparse and rare on the TP, due to extremely high altitude, topographical heterogeneity and the grinding environment. Accordingly, the forcing and feedback of atmospheric composition from rapidly changing surrounding regions to regional environmental and climate change in the TP remains poorly understood. This paper introduces a hightime- resolution (~ 15 min) vertical profile observational dataset of atmospheric composition (aerosols, NO2, HCHO and HONO) on the TP for more than 1 year (2017-2019) using a passive remote sensing technique. The diurnal pattern, vertical distribution and seasonal variations of these pollutants are documented here in detail. The sharing of this dataset would benefit the scientific community in exploring source-receptor relationships and the forcing and feedback of atmospheric composition on the TP to the regional and global climate. It also provides potential to improve satellite retrievals and to facilitate the development and improvement of models in cold regions. The dataset is freely available at Zenodo (https://doi.org/10.5281/zenodo.5336460; Xing, 2021).
UR - http://www.scopus.com/inward/record.url?scp=85118275662&partnerID=8YFLogxK
U2 - 10.5194/essd-13-4897-2021
DO - 10.5194/essd-13-4897-2021
M3 - Journal article
AN - SCOPUS:85118275662
SN - 1866-3508
VL - 13
SP - 4897
EP - 4912
JO - Earth System Science Data
JF - Earth System Science Data
IS - 10
ER -
