04 Sep 2023
 | 04 Sep 2023
Status: this preprint is currently under review for the journal ESSD.

The Tibetan Plateau Space-based Tropospheric Aerosol Climatology: 2007–2020

Honglin Pan, Jianping Huang, Jiming Li, Zhongwei Huang, Tian Zhou, and Kanike Raghavendra Kumar

Abstract. A comprehensive and robust dataset of tropospheric aerosol properties is important for understanding the effects of aerosol-radiation feedback on the climate system and reducing the uncertainties of climate models. The third pole of Earth (Tibetan Plateau, TP) is highly challenging to obtain long-term in situ aerosol data due to its harsh environmental conditions. Here, we provide more reliable the new vertical aerosol index (AI) parameter from the spaceborne-based Lidar (CALIOP) of CALIPSO over TP during 2007–2020 between daytime and nighttime to investigate the aerosol’s climatology. The calculated vertical AI was derived from the aerosol extinction coefficient (EC), which was rigorously quality-checked and validation, strictly quality checked, and validated for passive satellite sensors (MODIS) and ground-based LIDAR measurements. Generally, all those facts demonstrate the agreement of the AI dataset with the CALIOP and ground-based LIDAR. Besides, all the evidence shows that after removing the low-reliability aerosol target signal, the optimized data can obtain the aerosol characteristics with higher reliability. Our data set also reveals the patterns and numbers of high-altitude vertical structure characteristics of the aerosol troposphere over the TP. Our dataset will help to update and makeup the observational aerosol data in the TP. We encourage climate modeling groups to consider new analyses of the AI vertical patterns, comparing the recovered datasets, with the potential to increase our understanding of the aerosol-cloud-radiation-precipitation interaction and its climate effects. Data described in this work are available at DOI:10.11888/Atmos.tpdc.300614 (Honglin Pan et al., 2023).

Honglin Pan et al.

Status: open (until 20 Oct 2023)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2023-290', Anonymous Referee #1, 20 Sep 2023 reply

Honglin Pan et al.

Data sets

Dataset of characteristic parameters of tropospheric aerosols over the Qinghai Tibet Plateau (2007-2020) J. Huang

Honglin Pan et al.


Total article views: 242 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
184 45 13 242 7 10
  • HTML: 184
  • PDF: 45
  • XML: 13
  • Total: 242
  • BibTeX: 7
  • EndNote: 10
Views and downloads (calculated since 04 Sep 2023)
Cumulative views and downloads (calculated since 04 Sep 2023)

Viewed (geographical distribution)

Total article views: 235 (including HTML, PDF, and XML) Thereof 235 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
Latest update: 02 Oct 2023
Short summary
We applied several correction procedures and rigorously checked for data quality constraints during the long observation period spanning almost 14 years (2007–2020). Nevertheless, some uncertainties remain mainly due to technical constraints, as well as limited documentation of the measurements. Even though not completely accurate, this strategy is expected to at least reduce the inaccuracy of the computed characteristic value of aerosol optical parameters.