Cloud seeding needs an existing cloud with the right ingredients for the chosen method; it cannot make rain from clear skies. The best-supported case is glaciogenic seeding in winter mountain clouds that contain supercooled liquid water, while other cloud types require different conditions and have less certain outcomes.
Why cloud conditions matter
Cloud seeding attempts to influence processes already taking place inside a cloud. It does not supply the moisture or energy needed to create a rain-bearing cloud system. The World Meteorological Organization (WMO) says weather modification cannot create such systems, redirect winds to bring moisture into a region, or eliminate severe weather.
The necessary conditions depend on the cloud’s phase and structure, as well as the seeding method. There is no single temperature, wind speed, liquid-water amount, or cloud-depth cutoff that applies to every operation. The WMO says favorable-condition criteria vary widely by cloud type.
Which clouds can be targeted?
Supercooled and mixed-phase clouds
Supercooled water consists of liquid droplets that remain unfrozen below 0°C. A mixed-phase cloud contains both supercooled liquid droplets and ice. These are the principal targets for glaciogenic seeding, which aims to introduce ice nuclei and encourage ice-phase precipitation.
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In winter orographic clouds, terrain forces moist air upward, cooling it as it rises. The seeding hypothesis is that added ice nuclei help ice crystals form and grow, eventually contributing to precipitation. NOAA’s Atlantic Oceanographic and Meteorological Laboratory explains that silver iodide has a crystalline structure similar to ice and can induce freezing in supercooled cloud water.
The WMO identifies evidence-based causal support for wintertime orographic glaciogenic seeding. It also reports statistical and observational evidence of enhancement in some frontal clouds that contain supercooled liquid water. These findings are specific to the cloud settings studied: a result in one environment cannot be assumed to apply in another.
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Liquid-phase clouds
Hygroscopic seeding targets liquid droplets rather than ice formation. It is intended to alter droplet number and size so droplets collide and merge more readily, potentially improving precipitation efficiency. This method is commonly attempted in convective clouds.
Convective clouds are dynamic, and their natural variability can obscure a seeding signal. A physically plausible mechanism does not, by itself, demonstrate that seeding increased rainfall by a measurable amount.
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Why some targets are poor bets
Hurricanes and other severe weather
Cloud seeding is not a way to steer or weaken a hurricane. The WMO says there is no generally accepted evidence that tropical cyclones can be modified, and no demonstrated seeding method for modifying tornadoes, lightning danger, floods, or other severe weather.
The U.S. Government Accountability Office reports that earlier U.S. hurricane-seeding research could not distinguish an intervention’s effects from natural variability. Observations also indicated too little supercooled liquid water and too much naturally occurring ice for the proposed approach.
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Hailstorms
Hail-seeding operations have been attempted, but the WMO says experiments have not convincingly established the underlying scientific concepts. Hailstorms are energetic and naturally variable, so hail suppression should be treated as an uncertain application, not a proven outcome.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.How to judge a claim that seeding worked
Weather changes naturally, so a rainfall increase after seeding is not enough to establish that seeding caused it. The WMO recommends study designs that define eligible events using objective, physically based criteria and randomly assign eligible events to treatment or control groups.
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- Compare precipitation in seeded and unseeded eligible events, and report the uncertainty, including confidence intervals.
- Test whether the proposed physical mechanism actually occurred, rather than relying only on rainfall totals.
- For numerical-model evaluations, quantify model uncertainty and constrain the models with observations.
A simple before-and-after comparison cannot separate a seeding effect from ordinary weather variation.
Quick Recap
Sources
- WMO, Statement on Weather Modification (14 June 2025; the statement says its information is current through June 2024 and the page was last updated 2 July 2026).
- U.S. Government Accountability Office, report on weather modification.
- NOAA Atlantic Oceanographic and Meteorological Laboratory, cloud seeding and hurricanes.
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