Does cloud seeding with drones increase rainfall?
Cloud seeding can nudge clouds toward rain, and drones make it cheaper and more precise, but the evidence for real rainfall gains is still suggestive, not conclusive.
Covers: This page explains the science of cloud seeding, how drones are used to deliver seeding agents, and reviews the evidence on whether drone-based cloud seeding measurably increases rainfall. It does not cover other weather modification methods or the operational costs of specific drone systems.
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The short answer
Interpretation AI-prepared starting mapCloud seeding is a weather modification technique that disperses substances into clouds to encourage precipitation. Traditional delivery uses manned aircraft to release agents such as silver iodide or sodium chloride; drones are a newer, cheaper, more precise alternative that can be flown in coordinated swarms over specific areas. The evidence that seeding increases rainfall is suggestive but limited: a Korean experiment using an unmanned aerial vehicle to spray calcium chloride found increased cloud particle concentration and size, radar reflectivity up about 10 dBZ, and 0.5 mm of rain recorded after seeding (including natural and mixed precipitation). A separate aircraft-seeding study over the Yangtze River Delta reported post-seeding precipitation rates of 0.1–0.3 mm/h and a modelled domain-wide rainfall enhancement of 90,000 tons over about 9,000 km². Reviews conclude cloud seeding is not a comprehensive drought solution but a useful additional water-management strategy.12345
- Evidence 19
- Interpretation 2
In brief
A Korean UAV experiment found increased cloud particle concentration and size, radar reflectivity up about 10 dBZ, and 0.5 mm of rain after seeding — but that total included natural and mixed precipitation.4
Evidence-backedA Yangtze River Delta seeding study reported 0.1–0.3 mm/h post-seeding precipitation and a modelled 90,000 tons of extra rainfall over about 9,000 km².5
Evidence-backedReviews conclude cloud seeding is not a comprehensive drought solution but a useful additional water-management strategy.2
Evidence-backed
At a glance
The picture in numbers
Live · updated just now
0.5 mm
- low0.1 mm/h
- high0.3 mm/h
90,000 tons
- PM1025%
- PM2.510%
The evidence behind it
5 sources- Other studies and data5
When it was published
Newest from 2026
| Source | Kind | Year |
|---|---|---|
| Application of Drones in Pollution Mitigation through Artificial Rainfall | Other studies and data | 2025 |
| Cloud Seeding: The Future of Weather Modification Technology | Other studies and data | 2026 |
| The modus operandi of Cloud Seeding for Rain Enhancement: An Overview for Non-Scientific Audiences | Other studies and data | 2026 |
| Progressive and Prospective Technology for Cloud Seeding Experiment by Unmanned Aerial Vehicle and Atmospheric Research Aircraft in Korea | Other studies and data | 2022 |
| Impacts of artificial cloud seeding on surface PM2.5 and PM10 scavenging in the Yangtze River Delta. | Other studies and data | 2026 |
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What it means for you
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Pick the situation closest to yours. Each answer says what it rests on.
If you want a plain-language explanation of seeding techniques
the glaciogenic versus hygroscopic distinction and the role of silver iodide, sodium chloride and calcium chloride are the core concepts to start with.32
Evidence-backedIf you are weighing drones against manned aircraft for seeding
the stated advantages are lower cost, scalability, adaptability, swarm targeting of specific areas, and reduced personnel and infrastructure needs, while manned aircraft are described as costly, labour-intensive and imprecise.1
Evidence-backedIf you need a concrete number for rainfall increase
the strongest figures available are 0.5 mm of mixed natural and seeded rain in the Korean UAV test and a modelled 90,000 tons over about 9,000 km² in the Yangtze River Delta study; neither isolates the seeded contribution.45
Evidence-backedIf you are interested in air-quality co-benefits
the Yangtze River Delta study reported PM10 reductions of 25–29% and PM2.5 reductions of 10–16% in the 3 hours after seeding, with larger localized reductions where updrafts were stronger.5
Evidence-backedIf you are a policymaker or local stakeholder
the material calls for robust scientific evaluation, environmental safety monitoring, transparency among stakeholders and international cooperation, and notes that governance involves legal, economic and political considerations.32
Evidence-backedIf you are considering cloud seeding as a drought response
treat it as an additional water-management strategy rather than a comprehensive solution, per the review conclusion.2
Evidence-backedThe full story · 4 chapters
01
How cloud seeding works, and where drones fit
AI summary:Explains seeding agents and techniques, why manned aircraft are costly and imprecise, and how drones offer a cheaper, scalable alternative.
Evidence-backed: Cloud seeding is a weather modification technique that draws on cloud physics, meteorology, atmospheric physics and chemistry. It works by dispersing seeding agents into clouds to stimulate precipitation. The main approaches are glaciogenic (ice-forming agents such as silver iodide) and hygroscopic (moisture-absorbing agents such as sodium chloride) techniques.32
Evidence-backed: Traditional operations rely on manned aircraft to disperse agents like silver iodide or sodium chloride into clouds. This is described as effective but costly, labour-intensive and lacking precision, which makes it impractical for frequent or small-scale operations, especially in budget-constrained regions.1
Evidence-backed: Drones are presented as a transformative alternative: cost-effective, scalable and adaptable, with coordinated drone swarms able to target specific areas and autonomous operation reducing the need for extensive personnel or infrastructure. Current advances in the field include enhanced atmospheric modelling, drone-based delivery systems and novel seeding materials.12
What is your view on using drones for cloud seeding to increase rainfall?
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02
Does it actually increase rainfall?
AI summary:Describes a Korean UAV experiment and a Yangtze Delta aircraft study, then notes reviews call seeding a useful but not comprehensive drought strategy.
Evidence-backed: In a Korean experiment on 25 April 2019, an unmanned aerial vehicle sprayed calcium chloride while a research aircraft monitored the clouds over the southern Korean Peninsula. After seeding, the aircraft's cloud observation equipment recorded an increase in the number concentration and average particle size of large cloud particles, and weather radar reflectivity rose by approximately 10 dBZ above the experimental area as clouds and precipitation systems developed. Rain was observed after seeding and 0.5 mm was recorded, including natural and mixed precipitation from the cloud seeding. The authors concluded this showed the possibility of cloud seeding using UAVs and research aircraft.4
Evidence-backed: A separate aircraft seeding experiment in Suqian during the 2023 Shanghai Expo used silver iodide to induce ice nucleation, triggering deposition growth of ice crystals; the released latent heat strengthened local updrafts and promoted riming and melting. Over a 3-hour post-seeding period, precipitation rates of 0.1–0.3 mm/h were observed. Model simulations combined with observational scavenging rates indicated domain-wide impacts over an area of about 9,000 km² and an enhanced rainfall of 90,000 tons.5
Evidence-backed: A review of field experiments and operational initiatives globally reports both good outcomes and ongoing challenges in effectiveness evaluation. It concludes that cloud seeding is not a comprehensive solution for drought management but serves as a valuable additional strategy for water resource management in a changing climate.2
03
A related use: washing pollution out of the air
AI summary:Reports that the same Yangtze Delta study found modest post-seeding drops in PM10 and PM2.5, attributed to improved particulate scavenging.
Evidence-backed: The same Yangtze River Delta study measured air-quality effects alongside rainfall. In the 3-hour post-seeding period, PM10 fell by 25–29% and PM2.5 by 10–16%, despite low wind speed, which the authors attribute to seeding-influenced precipitation improving particulate scavenging. The reductions were modest overall: model simulations showed PM reductions of 1% over 900 km², 4–5% over 100 km², and more than 10% in localized areas of 40 km², with higher scavenging efficiencies where vertical velocity exceeded 0.5 Pa/s. The authors highlight that targeted cloud seeding can improve surface rainfall and particulate wet deposition, with effectiveness driven by microphysical-dynamical feedbacks.5
Evidence-backed: Artificial rainfall via cloud seeding is proposed as a way to cleanse the atmosphere in polluted urban areas, and drones are argued to make this more practical, flexible and environmentally friendly than manned aircraft.1
04
Governance and open questions
AI summary:Notes legal, economic and political questions, limited public understanding, and calls for evaluation, safety monitoring, transparency and international cooperation.
Evidence-backed: Cloud seeding raises legal, economic and political considerations that cross disciplines, and its practice and terminology are complex enough that public, policymaker, media and local-stakeholder understanding is often limited. Reviews call for robust scientific evaluation, environmental safety monitoring, transparency among stakeholders and international cooperation in weather modification efforts.32
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- 1Application of Drones in Pollution Mitigation through Artificial RainfallInternational Journal of Advance Research and Innovation (Divyanshu et al.)Published Mar 31, 2025Checked Oct 7, 2026
“Air pollution is a critical global challenge, with urban areas experiencing hazardous levels of particulate matter and harmful gases. Artificial rainfall via cloud seeding offers a potential solution by inducing precipitation to cleanse the atmosphere. Traditional methods rely on manned aircraft to disperse agents like silver iodide or sodium chloride into clouds, stimulating rain. While effective, this approach is costly, labor-intensive, and lacks precision, making it impractical for frequent or small-scale operations, especially in budget-constrained regions. Drones present a transformative alternative for cloud seeding. Compared to aircraft, drones are cost-effective, scalable, and highly adaptable. Coordinated drone swarms can target specific urban areas, enhancing the accuracy and efficiency of agent dispersion. Their autonomous capabilities reduce the need for extensive personnel or infrastructure. By leveraging drone technology, artificial rainfall becomes a more practical, flexible, and environmentally friendly method to address air pollution”
- 2Cloud Seeding: The Future of Weather Modification TechnologyInternational Journal of Creative and Open Research in Engineering and Management (Khan & Kulsum)Published Aug 17, 2026Checked Oct 7, 2026
“We examine the basic principles and methodologies of cloud seeding, including glaciogenic and hygroscopic techniques, and highlight current advancements such as enhanced atmospheric modeling, drone-based delivery systems, and novel seeding materials. This report examines the results of significant field experiments and operational initiatives globally, highlighting both good outcomes and ongoing challenges in effectiveness evaluation. The matter of governance and ethics is addressed, necessitating robust scientific evaluation, environmental safety monitoring, transparency among stakeholders, and international cooperation in weather modification efforts. We conclude that while cloud seeding is not a comprehensive solution for drought management, it serves as a valuable additional strategy for water resource management in a changing climate. Subsequent research and technological progress, together with judicious regulatory frameworks that address ethical considerations and environmental consequences, will be pivotal in realizing the complete potential of cloud seeding as a future weather manipulation technology.”
- 3The modus operandi of Cloud Seeding for Rain Enhancement: An Overview for Non-Scientific AudiencesInternational Journal of Innovative Science and Research Technology (IJISRT) (Fernando)Published Apr 13, 2026Checked Oct 7, 2026
“Cloud seeding is a weather modification technique that requires mastery of a myriad of disciplines, including cloud physics, cloud studies, meteorology, atmospheric physics, and chemistry. The process of cloud seeding, as described in current literature, is complex in both its practice and terminology. It is often difficult for lay audiences, such as the public, policymakers, the media, and local stakeholders, to understand cloud seeding methods, and there is no single comprehensive work that explains them. Additionally, the governance of cloud seeding involves legal, economic, and political considerations that cross disciplines. It is important to explain its techniques in simple language to raise public awareness and support policymaking, and to involve legal, economic, and political experts outside the sciences. Therefore, the knowledge deficit model, using a qualitative approach, is used in this article to explain how cloud seeding works to larger non-scientific audiences.”
- 4Progressive and Prospective Technology for Cloud Seeding Experiment by Unmanned Aerial Vehicle and Atmospheric Research Aircraft in KoreaAdvances in Meteorology (Jung et al.)Published Jun 22, 2022Checked Oct 7, 2026
“This study applies a novel cloud seeding method using an unmanned aerial vehicle (UAV) and a research aircraft in Korea. For this experiment, the UAV sprayed a cloud seeding material (calcium chloride), and the aircraft monitored the clouds in the southern part of the Korean Peninsula on April 25, 2019. Cloud observation equipment in the aircraft indicated an increase in the number concentration and average particle size of large cloud particles after the seeding. Weather radar reflectivity increased by approximately 10 dBZ above the experimental area due to the development of clouds and precipitation systems. Rain was observed after seeding, and 0.5 mm was recorded, including natural and mixed precipitation from the cloud seeding. In addition, it showed that the rapid increase in the number of raindrops and vertical reflectivity was approximately 10 dBZ. Therefore, these results showed the possibility of cloud seeding using UAVs and atmospheric research aircraft. The effects of cloud seeding are indicated through the increased number concentration and size of cloud particles, radar reflectivity, and ground-based precipitation detection.”
- 5Impacts of artificial cloud seeding on surface PM2.5 and PM10 scavenging in the Yangtze River Delta.Journal of environmental sciences (China) (Sun et al.)Published Jan 20, 2026Checked Oct 7, 2026
“In an aircraft seeding experiment in Suqian during the 2023 Shanghai Expo, AgI-induced ice nucleation triggered deposition growth of ice crystals, releasing latent heat that strengthened local updrafts and promoted subsequent riming and melting. Post-seeding observations (3-hour period) observed precipitation rates of 0.1-0.3 mm/h with PM10 and PM2.5 reductions of 25 %-29 % and 10 %-16 %, respectively, despite low wind speed indicating seeding-influenced precipitation improved PM scavenging. Model simulations combined with observational scavenging rates showed the domain-wide impacts over an area of ∼9000 km2 area and an enhanced rainfall of 90,000 tons. However, PM reductions were modest ( 0.5 Pa/s) showed higher scavenging efficiencies with PM reductions of 1 % over 900 km2, 4 %-5 % over 100 km2, and > 10 % in localized areas (40 km2). These results highlight that targeted cloud seeding can improve the surface rainfall and PM wet deposition, with the effectiveness of the process driven by microphysical-dynamical feedbacks.”
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Open questions
How much of the rain recorded after drone seeding is attributable to the seeding rather than natural precipitation, given that the Korean result explicitly mixed natural and seeded rain?
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Do drone-delivered seeding agents produce measurably different rainfall outcomes than manned-aircraft delivery, or mainly cost and precision advantages?
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Can the Korean and Yangtze River Delta results be replicated across seasons, regions and cloud types?
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What are the long-term environmental effects of seeding agents such as silver iodide and calcium chloride?
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