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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.

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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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black and gray drone flying in the sky
Photo: Dileep M

The short answer

Interpretation AI-prepared starting map

Cloud 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

What this rests on5 independent sources
  • Evidence 19
  • Interpretation 2

In brief

  1. Cloud seeding disperses glaciogenic or hygroscopic agents into clouds to encourage precipitation; drones are a cheaper, more precise and scalable delivery option than manned aircraft.12

    Evidence-backed
  2. 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-backed
  3. A 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-backed
  4. Reviews conclude cloud seeding is not a comprehensive drought solution but a useful additional water-management strategy.2

    Evidence-backed
  5. The evidence for a measurable rainfall increase is suggestive but not conclusive, resting on a small number of experiments without controlled comparisons.45

    Interpretation

At a glance

The picture in numbers

Live · updated just now

One-day UAV experiment; total included natural and mixed precipitation

0.5 mm

0.5 mm: rain recorded after seeding in the Korean drone test4
Aircraft seeding with silver iodide, 3-hour period
  • low0.1 mm/h
  • high0.3 mm/h
post-seeding precipitation rate in the Yangtze River Delta study5
Yangtze River Delta; model estimate, not measured

90,000 tons

90,000 tons: modelled extra rainfall over the study area5
Yangtze River Delta study, 3-hour post-seeding period
  • PM1025%
  • PM2.510%
falls in particulate pollution after seeding4

The evidence behind it

5 sources
  • Other studies and data5

When it was published

Newest from 2026

20222026
Sources on this page by kind and year
SourceKindYear
Application of Drones in Pollution Mitigation through Artificial RainfallOther studies and data2025
Cloud Seeding: The Future of Weather Modification TechnologyOther studies and data2026
The modus operandi of Cloud Seeding for Rain Enhancement: An Overview for Non-Scientific AudiencesOther studies and data2026
Progressive and Prospective Technology for Cloud Seeding Experiment by Unmanned Aerial Vehicle and Atmospheric Research Aircraft in KoreaOther studies and data2022
Impacts of artificial cloud seeding on surface PM2.5 and PM10 scavenging in the Yangtze River Delta.Other studies and data2026

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What it means for you

Which fits you?

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-backed

If 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-backed

If 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-backed

If 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-backed

If 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-backed

If 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-backed

The 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

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

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

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

Participant opinion · poll

What is your view on using drones for cloud seeding to increase rainfall?

What is your view on using drones for cloud seeding to increase rainfall?It is an effective and promising technologyIt may work but needs more evidenceIt is not effective or worth the costI am not familiar with it
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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

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

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

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

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

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

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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Sources

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  1. 1
    Application of Drones in Pollution Mitigation through Artificial Rainfall
    International 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”
  2. 2
    Cloud Seeding: The Future of Weather Modification Technology
    International 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.”
  3. 3
    The modus operandi of Cloud Seeding for Rain Enhancement: An Overview for Non-Scientific Audiences
    International 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.”
  4. 4
    Progressive and Prospective Technology for Cloud Seeding Experiment by Unmanned Aerial Vehicle and Atmospheric Research Aircraft in Korea
    Advances 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.”
  5. 5
    Impacts 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.”

How it changed

Published 1 time since Oct 7, 2026.

  1. Version 2Oct 7, 2026Live now

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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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