India is increasingly using AI in forecasting weather and managing disasters as the nation faces an increase in extreme weather conditions.

The government has partnered with several research organizations to develop AI-driven systems that will enhance the ability to predict, monitor, and plan responses to weather and climate events. This has been necessitated by the increasing number of concerns about climate risks such as heatwaves, cyclones, floods, and unpredictable rainfall patterns.

According to the authorities and research personnel, satellite and meteorological data, together with past climate information, are used in integrating AI systems into forecast predictions. According to authorities, the technology would allow better preparation for natural disasters, improving early warning and emergency preparedness.

Over the past few years, India has had several weather-induced disasters such as floods, heatwaves, and irregular rainfall, among others. In 2025, most Indian states were affected by severe floods and prolonged heatwaves that disrupted transportation, energy supply, and agricultural production.

AI-based predictive systems are increasingly becoming a major means by which the India Meteorological Department (IMD) and others analyze climate data to predict future weather conditions. Scientists noted that AI-based predictive systems can process data faster and predict local weather patterns accurately compared to traditional methods.

According to officials, the predictive technologies are also playing a crucial role in river-level monitoring, cyclone prediction, and forest fire predictions. Various state governments are reportedly working towards the integration of predictive systems in disaster preparedness.

The development of AI-based climate systems comes amid attempts to build climate resilience and disaster preparedness capacity. Agencies at the government level are partnering with universities and technology companies for the creation of predictive climate monitoring systems.

The agricultural sector is among the beneficiaries of improved climate prediction systems. According to experts, accurate information about rainfall and temperature patterns will be vital in making decisions such as irrigation and crop harvests.

However, it has been stated by the experts that data quality, infrastructure deficiency, and accessibility to digital tools in rural areas could pose a threat. According to the analysts, accurate forecasting can only be done through dependable weather and computing infrastructures.

According to the experts, the increase in the number of extreme weather events has led to a demand for better forecasting and disaster management systems. Some scholars have attributed the cause behind these changes in weather to climate change.

It was reported that India would continue using artificial intelligence for climate change management.