CLOUD SEEDING: MEANING , CHALLENGES & WAY FORWARD

Delhi’s air pollution crisis is primarily caused by emissions from vehicles, industries, construction, power plants, waste burning, and seasonal crop stubble fires, worsened by stagnant winter weather. Cloud seeding, which disperses chemicals like silver iodide into existing clouds to induce rainfall, has been proposed as a temporary measure to wash away pollutants. However, its effectiveness is limited, dependent on suitable clouds, and provides only short-term relief. It also raises environmental, ethical, and accountability concerns.

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Picture Courtesy: The Hindu

Context:

Delhi’s air remains among the most polluted in the world, mainly due to emissions from vehicles, industries, construction, power plants, open waste burning, and farm fires. While cloud seeding has recently been proposed as a quick fix, it offers little more than temporary relief and distracts from the real solutions.

Cloud Seeding: What It Is?

Cloud seeding involves spraying substances like silver iodide or sodium chloride into clouds to encourage raindrop formation.

Limitations:

  • It cannot create clouds; it only works when suitable clouds already exist.
  • Evidence that it significantly increases rainfall is weak and inconsistent.
  • Even if rain occurs, the reduction in pollution is temporary, lasting only a day or two.

Picture Courtesy: DRI

Current Status:

  • The Delhi Cabinet approved a pilot cloud-seeding programme in 2025 costing about ₹ 3.21 crore. (Source: India Today)
  • It will be executed in collaboration with IIT Kanpur, using a specially-equipped aircraft. (Source: India Today) 
  • The pilot calls for five sorties, each roughly 1–1.5 hours, covering around 100 sq km in north-west Delhi and adjoining areas. (Source: India Today) 
  • The objective: induce artificial rain in order to “wash out” particulate pollution (PM2.5/PM10) during high-pollution months. (Source: ET) 

Impact:

  • Hydrological / Precipitation Effects: A study over the Solapur region (Maharashtra, India) found that hygroscopic cloud seeding led to an ~18 % increase in rainfall compared to non-seeded clouds. (Source: Business Standard) 
  • Environmental & Ecosystem Impacts: The main seeding agent, Silver Iodide (AgI), has been studied: many analyses show very low accumulation in soils or waters but laboratory work indicates possible risks if seeding is repeated many times in the same location: e.g., effects on soil bacteria or freshwater organisms under high-exposure scenarios. 
  • Operational, Ethical & Economic Aspects: Because seeding is highly weather- and cloud-condition dependent, it carries operational risks: e.g., attempting to seed when clouds are inadequate leads to wasted effort and cost. 
  • Implications for Use in Urban Air-Pollution Contexts: Given that cloud seeding’s rainfall enhancement is conditional, its applicability for addressing urban air-pollution (e.g., in a city like Delhi) is highly uncertain: rainfall might help – but only if clouds exist, and even then the effect on pollutants is likely short-lived. 

Challenges:

  • Effectiveness & scientific uncertainty: The U.S. Government Accountability Office (GAO) reports that precipitation enhancements from cloud seeding range from 0 % to 20 %, making attribution of added rainfall very difficult. 
  • Dependence on suitable meteorological conditions: Seeding only works when there are clouds with the right microphysics, sufficient moisture, and favourable dynamics. Without these, seeding cannot create rainfall “out of thin air”.  
  • Environmental, legal & ethical risks: Use of agents like silver iodide raises concerns about cumulative environmental or health impacts, though current research suggests low risk at normal use levels. 
  • Cost, resource intensity & opportunity cost: Seeding programs require aircraft/ground generators, trained personnel, monitoring systems — making them expensive and logistically complex. 

Government Measures and Other Nation Initiatives:

Country

Government Measures

Scale / Key Data

 

USA (selected states)

• Cloud seeding operations active in at least 9 states (as of 2024) under state/local funding. (U.S. GAO) • Example: Utah: one-time funding of US$12 million, annual budget US$5 million. (water.utah.gov) • Purpose largely water-resource / snowpack augmentation rather than pollution control.

While operational, the US government accountability office notes significant scientific uncertainties about effectiveness. (U.S. GAO) Some states (e.g., Wyoming) have cut funding citing lack of evidence. (Cowboy State Daily)

 

Saudi Arabia

• National Cloud Seeding Programme launched April 2022 under the “Middle East Green Initiative”. (Zawya) • In 2023: 451 flights, 1,424 flight-hours, ~4 billion m³ of rainfall estimated. (Saudi gazette) • Programme aims: increase rainfall, combat desertification, boost vegetation and water security. (Arab News)

High-scale operational programme in arid environment; uses aircraft & burners. Focus explicitly on water resources rather than air-pollution. The rainfall estimates (billions of cubic metres) indicate large ambition.

 

United Arab Emirates (UAE)

• One of first in region to adopt cloud seeding (1990s onward) for water security. (Wikipedia) • Reports indicate estimated rainfall enhancement of ~15-35% in ideal (clean) atmosphere. (Wikipedia) • Many flying hours annually (e.g., >300 missions in recent years). (The National)

Similar to Saudi Arabia in climatic context (arid). Programme emphasises augmentation of water rather than direct pollution control. Scientific evidence remains moderate.

 

 Way Forward:

  • Reassess Cloud Seeding as a Short-Term Experiment: Treat cloud seeding strictly as a research and pilot activity, not as a core pollution-control measure. 
  • Prioritize Root-Cause Pollution Control: Strengthen enforcement on major pollution sources:
    • Vehicular emissions: Promote electric/public transport, stricter emission norms, congestion pricing.
    • Industrial and power-plant emissions: Enforce continuous emission monitoring and switch to cleaner fuels.
    • Construction and dust control: Mandate on-site dust suppression and recycling of debris.
    • Agricultural stubble burning: Expand subsidies and incentives for crop residue management and bio-CNG plants. 
  • Integrate Technology with Policy: Invest in real-time air quality monitoring and predictive modelling to guide emergency measures (like odd-even schemes or temporary shutdowns). Use remote sensing and AI-based weather forecasting to predict when cloud seeding could be feasible—optimizing timing and reducing wasted attempts. 
  • Strengthen Regional and International Collaboration: Partner with countries experienced in cloud seeding (e.g., UAE, Saudi Arabia, USA) to share best practices, technology, and monitoring protocols. 
  • Invest in Long-Term Sustainable Measures: Expand urban green cover and green barriers to trap dust and lower urban heat. 
  • Ensure Transparency and Public Accountability: Publish trial data, funding details, and impact assessments of cloud seeding publicly. 

Source: The Hindu

Practice Question

Q. Examine the scientific, ethical, and environmental implications of using cloud seeding as a pollution-control measure in urban areas. (250 words)

Frequently Asked Questions (FAQs)

Cloud seeding is a weather-modification technique that involves dispersing substances such as silver iodide, sodium chloride, or dry ice into clouds to stimulate rainfall. These particles act as nuclei around which water droplets can form and grow heavy enough to fall as rain.

Delhi’s air pollution peaks during the post-monsoon and winter months due to vehicular emissions, stubble burning, industrial pollution, and stagnant weather conditions. Authorities have proposed cloud seeding as a way to artificially induce rainfall to temporarily “wash away” pollutants and improve air quality.

Most studies suggest that the quantities of silver iodide used are too small to cause significant environmental harm. However, repeated or large-scale seeding could lead to chemical accumulation in soil and water, the long-term effects of which remain uncertain.

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