Articles | Volume 23, issue 18
https://doi.org/10.5194/acp-23-10423-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-23-10423-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
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
Department of Atmospheric Sciences, National Central University,
Taoyuan, Taiwan
Kao-Shen Chung
CORRESPONDING AUTHOR
Department of Atmospheric Sciences, National Central University,
Taoyuan, Taiwan
Sheng-Hsiang Wang
Department of Atmospheric Sciences, National Central University,
Taoyuan, Taiwan
Li-Hsin Chen
Department of Atmospheric Sciences, National Central University,
Taoyuan, Taiwan
Yu-Chieng Liou
Department of Atmospheric Sciences, National Central University,
Taoyuan, Taiwan
Pay-Liam Lin
Department of Atmospheric Sciences, National Central University,
Taoyuan, Taiwan
Wei-Yu Chang
Department of Atmospheric Sciences, National Central University,
Taoyuan, Taiwan
Hsien-Jung Chiu
Department of Atmospheric Sciences, National Central University,
Taoyuan, Taiwan
Yi-Hui Chang
Dual-Use Industry Technology Development Center, National Chung-Shan Institute of Science and Technology, Taoyuan, Taiwan
Data sets
Raw Data of RCWF and RCSL K.-I. Lin, K.-S. Chung, S.-H. Wang, L.-H. Chen, Y.-C. Liou, P.-L. Lin, W.-Y. Chang, H.-J. Chiu, and Y.-H. Chang https://doi.org/10.29840/DBAR.DB_RD_WFSL/Dataset
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.
This study develops a hybrid microphysics scheme to enable the complex model simulation of cloud...
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