The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/17075018

Huang, Tao; Zhu, Yannian; Rosenfeld, Daniel; Yang, Yuanjian; Lam, David H. Y. et. al. (2021): LiDAR observations in 2020 for aerosol-cloud interaction. Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/17075018.v2

Dataset

x choose version: version 1 - 2021-11-24

• Atmospheric Sciences
• Climate and Climate Change
• Atmosphere and Weather
• Geomatic Engineering

aerosol indirect effect, aerosol-cloud interaction, air pollution and thunderstorm, deep convective clouds

2020

CC0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Tao Huang , Yannian Zhu , Daniel Rosenfeld , Yuanjian Yang , David H. Y. Lam , W. H. Leung , Harry F. Lee , Jack C. H. Cheng , Steve H. L. Yim

This dataset is prepared for the study of aerosol-cloud interaction in Hong Kong in 2020.LiDAR data for study: Regime-dependent impacts of aerosol particles and updrafts on the cloud concentration nuclei and the enhanced warm rain suppression: evidence from joint usage of satellite and LiDAR observation.

• 2021-11-24 first online

• 2021-12-28 published, posted

4TU.ResearchData

.txt

The Chinese University of Hong Kong