04 Jul 2022
04 Jul 2022
Status: this preprint is currently under review for the journal ESSD.

High-resolution physicochemical dataset of atmospheric aerosols over the Tibetan Plateau and its surroundings

Xinghua Zhang1,, Wenhui Zhao1,2,, Lixiang Zhai1,2, Miao Zhong1,2, Jinsen Shi3, Junying Sun4, Yanmei Liu1,a, Conghui Xie1,b, Yulong Tan1,2, Kemei Li1,2, Xinlei Ge5, Qi Zhang6, Shichang Kang1,2,7, and Jianzhong Xu1 Xinghua Zhang et al.
  • 1State Key Laboratory of Cryospheric Sciences, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
  • 2University of Chinese Academy of Sciences, Beijing 100049, China
  • 3Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China
  • 4Key Laboratory of Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences, Beijing 100081, China
  • 5Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China
  • 6Department of Environmental Toxicology, University of California, Davis, CA 95616, USA
  • 7CAS Center for Excellence in Tibetan Plateau Earth Sciences, Beijing 100085, China
  • anow at: Department of Environmental Science and Engineering, Sichuan University, Chengdu 610065, China
  • bnow at: State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
  • These authors contributed equally to this work.

Abstract. Atmospheric aerosol in the Tibetan Plateau (TP) and its surroundings has received widely scientific concern in recent decades owing to its significant impacts on regional climatic and cryospheric changes, ecological and environmental securities, and hydrological cycle. However, our understanding on the atmospheric aerosol in this remote region is highly limited by the scarcely available dataset. A comprehensive project was carried out since 2015 to investigate the properties and sources of atmospheric aerosols as well as their regional differences in the vast TP regions by performing multiple short-term intensive field observations using a suite of high-resolution online instruments. This paper presents a systematic dataset of the high-time-resolution (hourly scales) aerosol physicochemical and optical properties at seven different sites over the TP and its surroundings from the observation project, including the size-resolved chemical compositions of submicron aerosols, the standard high-resolution mass spectra and sources of organic aerosols, size distributions of particle number concentrations, particle light absorption and scattering coefficients, particle light absorptions from black carbon and brown carbon, number concentrations of cloud condensation nuclei, and concentrations of gaseous pollutants. The datset get the insights into the regional differences of aerosol sources and properties in the vast TP regions and are also useful for the simulation of aerosol radiative forcing and the evaluation of interactions among different components of the Earth system in numerical models. The released datasets are presented in the form of Excel file and available to download from the National Cryosphere Desert Data Center, Chinese Academy of Sciences (; Xu, 2022).

Xinghua Zhang et al.

Status: open (until 15 Sep 2022)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2022-211', Anonymous Referee #1, 10 Aug 2022 reply

Xinghua Zhang et al.

Data sets

High-time-resolution of dataset of aerosol on the TP Jianzhong Xu

Xinghua Zhang et al.


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Short summary
A comprehensive aerosol observation project was carried out in the Tibetan Plateau (TP) in recent years to investigate the properties and sources of atmospheric aerosols as well as their regional differences by performing multiple short-term intensive field observations. The real-time online high-time-resolution (hourly) data of aerosol properties in the different TP region are integrated in a new dataset and can provide supporting for related studies in in the TP.