Articles | Volume 23, issue 18
https://doi.org/10.5194/acp-23-10423-2023
https://doi.org/10.5194/acp-23-10423-2023
Research article
 | 
20 Sep 2023
Research article |  | 20 Sep 2023

Evaluation of hygroscopic cloud seeding in warm-rain processes by a hybrid microphysics scheme using a Weather Research and Forecasting (WRF) model: a real case study

Kai-I Lin, Kao-Shen Chung, Sheng-Hsiang Wang, Li-Hsin Chen, Yu-Chieng Liou, Pay-Liam Lin, Wei-Yu Chang, Hsien-Jung Chiu, and Yi-Hui Chang

Viewed

Total article views: 2,049 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,506 489 54 2,049 32 34
  • HTML: 1,506
  • PDF: 489
  • XML: 54
  • Total: 2,049
  • BibTeX: 32
  • EndNote: 34
Views and downloads (calculated since 20 Apr 2023)
Cumulative views and downloads (calculated since 20 Apr 2023)

Viewed (geographical distribution)

Total article views: 2,049 (including HTML, PDF, and XML) Thereof 2,065 with geography defined and -16 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 20 Nov 2024
Download
Short summary
This study develops a hybrid microphysics scheme to enable the complex model simulation of cloud seeding based on observational cloud condensation nuclei size distribution. Our results show that more precipitation can be developed in the scenarios seeding in the in-cloud region, and seeding over an area of tens km2 is the most efficient strategy due to the strengthening of the accretion process. Moreover, particles bigger than 0.4 μm are the main factor contributing to cloud-seeding effects.
Altmetrics
Final-revised paper
Preprint