India is testing artificial intelligence (AI) to increase the accuracy of weather forecasts

India is testing artificial intelligence (AI) to increase the accuracy of weather forecasts

In order to improve weather forecasting and address the issues brought on by extreme climate conditions, India is leading the way in the use of artificial intelligence (AI). AI-driven models are being used to predict severe weather events like floods and droughts with greater accuracy. This initiative is being led by the India Meteorological Department (IMD). The increased occurrence of floods, droughts, and other extreme weather events in the nation is the reason behind this endeavor.

The head of the climate research and services division of the Indian Meteorological Department told Reuters that the division has generated alerts for high temperatures using artificial intelligence. In order to improve weather forecasts, additional weather observation stations will be added to provide data down to the village level.


Artificial intelligence (AI) has the potential to greatly increase forecast accuracy in weather forecasting, giving communities and authorities more information to work with and more time to prepare. Conventional weather prediction techniques require intricate calculations and a thorough examination of multiple atmospheric factors. However, the benefit of using AI-based models is that they process large amounts of data more efficiently and accurately, which results in forecasts that are more accurate.

The Indian government stated that by incorporating AI into conventional models, it hopes to produce weather forecasts. “AI models do not require the high cost of running supercomputers, and they can even run on high-performance desktop computers,” stated Saurabh Rathore, assistant professor at IIT Delhi.

Furthermore, according to the Met Office, AI has the potential to “revolutionize” weather forecasting. Meteorological agencies worldwide are reportedly taking an interest in artificial intelligence (AI) due to its potential to lower expenses and boost efficiency.

Agricultural resilience to climate change

Improving climate resilience and optimizing agricultural practices are two important areas in which AI is being used in India. To manage crops, nutrients, and soil, for example, farmers in India are using AI-powered weather advisory systems to make well-informed decisions. By using artificial intelligence (AI), these systems can provide customized weather forecasts and recommendations, giving farmers the ability to lessen the negative effects of bad weather on their farming operations.

In some areas, traditional physics-based models still perform better than AI models. Nonetheless, one significant benefit of AI models is their computational efficiency. Artificial Intelligence (AI) alleviates the computational burden of conventional models, thereby facilitating prompt and efficient decision-making across diverse domains such as energy, infrastructure, and disaster management. Furthermore, power outages and storm impacts are predicted by AI algorithms trained on satellite and meteorological data, which improves preparedness and response strategies.


Artificial Intelligence has enabled notable progress in weather forecasting. However, experts warn that the changing effects of climate change may limit the predictive power of AI-based tools. New and unheard-of weather extremes are emerging right now. Additionally, the dynamics of extreme weather systems are evolving. The long-term effectiveness of AI-driven weather forecasting is called into question by these. Therefore, even as AI keeps improving its predictive powers, it’s critical to acknowledge and deal with its limitations.


India is taking a proactive stance with its attempts to incorporate AI into weather forecasting. It might deal with the growing problems brought on by harsh weather. India wants to improve its ability to forecast the weather by utilizing AI-driven models. Additionally, it seeks to strengthen sectoral resilience to climate change and enable them to more effectively lessen the effects of extreme weather events. AI has the potential to improve weather forecasts. Nonetheless, given the dynamically changing nature of the climate, it is critical to keep an eye on its effectiveness.

An encouraging trend is the application of AI to weather forecasting. It has the capacity to greatly improve weather forecasts’ precision and dependability. In the event of extreme weather events, it might make it possible to make more informed decisions and implement more successful preparation strategies. India’s efforts in this area are a prime example of proactivity. It makes use of state-of-the-art technologies to tackle the problems caused by extreme weather events and climate change.

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