Using AI Modeling to Predict the Impact of Cloud Seeding on Amount of Rainfall and How that Affects the Temperature in Different Regions

Water is one of the most essential resources on Earth, yet many regions face severe water scarcity due to growing populations, in-creased land use, and climate change. To address this challenge, we employed cloud seeding as a promising technique for augment-ing water supplies. While prior research has primarily focused on increasing precipitation, this study introduces a novel angle byexamining how cloud seeding-induced rainfall may also influence regional temperature regulation over time. This dual-purpose in-vestigation is particularly relevant in arid regions like the Middle East, where water scarcity and extreme heat coexist. Using historical datasets and AI-based modeling, including lin-ear regression and neural networks, we analyzed the relationship between rainfall and temperature across different regions. Results revealed a consistent negative correlation between rainfall and tem-perature, suggesting that cloud seeding may have cooling effects in addition to boosting precipitation. This study presents early ev-idence that weather modification could play a role in mitigating long-term climate stress, offering a new perspective on the benefitsof cloud seeding.