Ground-Based Cloud Seeding and Precipitation Enhancement: Possibilities for Water Resource Augmentation
This review provides an analysis of ground-based cloud seeding experiments conducted worldwide, focusing on the methodologies used, results obtained, and their implications for precipitation enhancement. The research evaluates the physical properties of clouds, particularly the role of liquid water content (LWC), as critical factors influencing the success of cloud seeding efforts. Silver iodide (AgI) is frequently used as the seeding agent in these experiments, with results varying based on different meteorological conditions. The review highlights that, in certain favorable conditions, cloud seeding can lead to significant increases in rainfall and snowfall, making it a viable strategy for water resource management and drought mitigation. However, the study also emphasizes the variability in outcomes, as not all experiments produced consistent results. Factors such as ambient wind conditions, and the amount of LWC greatly affect the effectiveness of the technique. This inconsistency underscores the need for more targeted research to determine the optimal conditions under which cloud seeding can reliably enhance precipitation. The paper suggests that while cloud seeding holds promise for regions facing water scarcity, further improvements in technology and a deeper understanding of atmospheric conditions are essential for maximizing its benefits. Additionally, it calls for advanced modeling and observational techniques to better predict the outcomes of cloud seeding operations, helping to refine the process for more effective and reliable results. Overall, the review provides valuable insights into both the potential and the limitations of ground-based cloud seeding as a tool for enhancing water resources and addressing climate challenges.
Authors
- Eunsil Jung (ORCID: https://orcid.org/0000-0003-0970-2730)
Publication Details
- Journal
- Journal of Korean Society of Water Science and Technology
- Published
- 2024-10-31
- DOI
- https://doi.org/10.17640/kswst.2024.32.5.275
- Primary Topic
- Precipitation Measurement and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00