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Business Standard
a day ago
- Science
- Business Standard
AI transforming meteorological prediction through innovation: IIT Delhi
Artificial intelligence is transforming meteorological prediction through innovative approaches to tropical cyclone tracking and monsoon forecasting, two recent studies by the Indian Institute of Technology (IIT), Delhi, researchers have demonstrated. The studies conducted under Professors Sandeep Sukumaran and Hairprasad Kodamana, have been published in the "Journal of Geophysical Research: Machine Learning and Computation". The first study achieved significant advances in monsoon prediction through the application of transformer neural networks. The research team trained their model on a quarter-century of high-resolution satellite precipitation data, enabling the system to accurately forecast monsoon intraseasonal oscillation patterns with an 18-day lead time. "This represents a substantial improvement over existing dynamical models while requiring dramatically fewer computational resources. The AI system's ability to reliably predict active and break phases of the monsoon could have profound implications for agricultural planning and water resource management across South Asia," said PhD scholar KM Anirudh. For the second study, the researchers conducted a comprehensive evaluation of four leading AI weather prediction systems. The research team compared the performance of GraphCast, PanguWeather, Aurora and FourCastNet against conventional numerical weather prediction models. "The AI systems demonstrated remarkable capability in 96-hour cyclone track forecasting, maintaining positional accuracy within 200 kilometres while completing computations in seconds rather than hours. "The Aurora model emerged as the top performer, with researchers attributing its superior performance to the system's transformer-based architecture and incorporation of diverse meteorological datasets," said PhD scholar Pankaj Lal Sahu. "Notably, these AI models successfully internalised complex atmospheric dynamics, including vorticity patterns and pressure gradients, without explicit programming of physical equations, achieving this through advanced machine learning techniques alone," he said. Hariprasad Kodamana, Associate Professor at the Department of Chemical Engineering, informed that the two studies collectively highlight the transformative potential of artificial intelligence in weather prediction. "As extreme weather events become more frequent due to climate change, such AI-powered forecasting tools may prove indispensable for vulnerable communities worldwide," he said. Sandeep Sukumaran, Associate Professor at the Centre for Atmospheric Sciences, explained that by combining the accuracy of traditional physical models with the speed and efficiency of machine learning, these systems offer new possibilities for early warning and climate adaptation. "The research underscores the importance of continued innovation in model architectures and training methodologies to further improve prediction capabilities while maintaining scientific rigour," he added.
Yahoo
13-05-2025
- Climate
- Yahoo
LSUS students develop AI-powered weather app for Air Force
SHREVEPORT, La. (KTAL/KMSS) – Six LSU Shreveport students have created an artificial intelligence tool to help the Air Force Global Strike Command Center (AFGSC) better predict the weather. The tool helps AFGSC make medium-range weather forecasts (3-10 days) to improve mission planning. 'Students developed a user-friendly app that integrates GraphCast overlayed with global maps, predictions for temperature, precipitation and wind speed, comparative analysis between the AI model and traditional weather models, and traditional weather alerts, among other functions,' a press release stated. LSU Shreveport encouraging children to explore their passions According to U.S. Air Force Tech. Sgt. Brian Tubbs, the app delivered an instantaneous solution for Kirtland Air Force Base in New Mexico, where it is being beta-tested as part of 'Project Airstorm.' 'Collaborating with LSUS students on 'Project Airstorm' through STRIKEWERX and the LSUS Collaboratory has been exceptional,' said Tubbs, 377th Test Support Squadron flight chief of mission weather operations, who serves as the Air Force's primary point of contact for the project. 'The students, including those in the National Security Fellowship Program, brought technical expertise in computer science, mathematics, and AI along with enthusiasm for addressing real-world Air Force challenges. 'Their work – from coding and integrating GraphCast to designing a user-friendly interface – has delivered a practical tool for Kirtland's immediate needs. The LSUS team's creativity and adaptability shone in design sprints and collaborative efforts, making them invaluable partners.' LSU Health Shreveport celebrates its largest graduation ever While GraphCast is the app's foundation, the students switched to other services for different app areas because of budget and time constraints. 'We needed a different AI model to do the map imaging, and we found Media Source map data to generate our map tiles,' said Antonio Mata, a senior from Shreveport. 'We needed more time and money to use GraphCast for this, but we were able to integrate Media Source into the app. We definitely had to learn how to communicate with each other, with our points of contact, and solve problems.' One tweak to the app included map files that made lightning strike points available to view. 'That's useful to the Air Force because they can see if it's safe for a plane to go into this area or tell them to avoid this area,' Mata explained. Shreveport and LSUS launch GIS training for local residents LSUS computer science faculty member Keyvan Shahrdar added that experimental learning is integral to the curriculum. 'This kind of project gives students practical experience working in a collaborative software development environment and helps bridge the gap between classroom theory and real-world application,' Shahrdar said. 'They're not only writing code but also managing timelines, understanding budgets, selecting tools, and adapting to evolving requirements – skills that are critical in any professional tech role. 'The real strength of AI lies in its ability to analyze vast datasets and uncover trends that would be difficult or impossible for humans to detect manually.' Copyright 2025 Nexstar Media, Inc. All rights reserved. This material may not be published, broadcast, rewritten, or redistributed.
