Satellite- and Solar-Powered Rainfall Control Networks: A Wireless System for Cloud Redistribution and Weather Regulation

Abstract Uncontrolled rainfall, droughts, and floods remain some of the greatest environmental challenges of the 21st century. Traditional weather forecasting and management techniques, including cloud seeding and hydro-engineering, have offered limited and region-specific results. This research proposes an innovative framework for a wireless rainfall control system, modeled on mobile network architecture, where satellite-based signals and solar-hydrogen energy regulate the movement, distribution, and intensity of rain-bearing clouds. The system functions through localized 5-kilometer networks, each equipped with AI-driven sensors and robotics to monitor and control atmospheric parameters. A three-signal system (Green, Yellow, Red) allows communities to request rainfall, delay precipitation, or redirect clouds to neighboring regions or oceans when rainfall is excessive. The design also integrates lightning regulation and thunderstorm neutralization, preventing natural disasters such as floods, electrocution, and infrastructure damage. The research explores technical principles, infrastructure design, societal benefits, environmental implications, risks, and future applications, including integration with renewable energy grids and global cooperation frameworks. This system envisions a future where rainfall is distributed according to need, enhancing agriculture, reducing disasters, and ensuring sustainable water availability for humanity.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-08-14
DOI
https://doi.org/10.5281/zenodo.21939069
Primary Topic
Precipitation Measurement and Analysis
Type
article
Field-Weighted Citation Impact
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article

Satellite- and Solar-Powered Rainfall Control Networks: A Wireless System for Cloud Redistribution and Weather Regulation

Allahu Jehovah Sarahu Nagarazan
Zenodo (CERN European Organization for Nuclear Research)
Precipitation Measurement and Analysis
article

Satellite- and Solar-Powered Rainfall Control Networks: A Wireless System for Cloud Redistribution and Weather Regulation

Allahu Jehovah Sarahu Nagarazan
article en

Abstract

Abstract Uncontrolled rainfall, droughts, and floods remain some of the greatest environmental challenges of the 21st century. Traditional weather forecasting and management techniques, including cloud seeding and hydro-engineering, have offered limited and region-specific results. This research proposes an innovative framework for a wireless rainfall control system, modeled on mobile network architecture, where satellite-based signals and solar-hydrogen energy regulate the movement, distribution, and intensity of rain-bearing clouds. The system functions through localized 5-kilometer networks, each equipped with AI-driven sensors and robotics to monitor and control atmospheric parameters. A three-signal system (Green, Yellow, Red) allows communities to request rainfall, delay precipitation, or redirect clouds to neighboring regions or oceans when rainfall is excessive. The design also integrates lightning regulation and thunderstorm neutralization, preventing natural disasters such as floods, electrocution, and infrastructure damage. The research explores technical principles, infrastructure design, societal benefits, environmental implications, risks, and future applications, including integration with renewable energy grids and global cooperation frameworks. This system envisions a future where rainfall is distributed according to need, enhancing agriculture, reducing disasters, and ensuring sustainable water availability for humanity.

Zenodo (CERN European Organization for Nuclear Research)
Sarah Cannon (US)
Openalex Percentile: Top 13%
Precipitation Measurement and Analysis
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Satellite- and Solar-Powered Rainfall Control Networks: A Wireless System for Cloud Redistribution and Weather Regulation — Allahu Jehovah Sarahu Nagarazan · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS