Last Updated Sep - 28 - 2024, 05:30 PM | Source : HT | Visitors : 100
The Indian Institute of Tropical Meteorology (IITM) enhances weather forecasting capabilities with high-performance computing systems 'Arka' and 'Arunika,' laun
The Indian Institute of Tropical Meteorology (IITM) has incorporated ‘high-performance computing’ (HPC) to improve the computational capabilities of its global weather prediction models and sharpen their horizontal resolution. On September 26, Prime Minister Narendra Modi launched the Ministry of Earth Sciences’ meteorological and climate research system.
The enhanced computational capabilities provided by this HPC will allow the Ministry of Earth Sciences to refine the horizontal resolution of its global weather prediction models to an impressive 6 km.
Furthermore, regional models will achieve even finer resolutions of 1 km or less over select Indian domains. These high-resolution models will significantly enhance the accuracy and lead time of predictions related to tropical cyclones, heavy precipitation, thunderstorms, hailstorms, heat waves, droughts, and other extreme weather phenomena.
Suryachandra Rao, project director-HPC, IITM, said, “Leveraging these advanced HPC resources, the Ministry of Earth Sciences aims to significantly improve the precision and reliability of weather forecasts, ensuring better preparedness and response to the challenges posed by climate variability and extreme weather events.”
Around ₹850 crore is being invested in this ambitious project, marking a significant leap in India’s computational capabilities for more reliable and accurate weather and climate forecasting, particularly extreme events.
The HPC is located at two key sites – the Indian Institute of Tropical Meteorology (IITM) at Pune and National Centre for Medium Range Weather Forecasting (NCMRWF) at Noida. The IITM system is equipped with an impressive capacity of 11.77 Peta FLOPS and 33 petabytes of storage, while the NCMRWF facility features 8.24 Peta FLOPS with 24 petabytes of storage. Additionally, there is a dedicated standalone system for Artificial Intelligence (AI) and Machine Learning (ML) applications with a capacity of 1.9 Peta FLOPS. With this augmentation, the Ministry of Earth Sciences will enhance its total computing power to 22 Peta FLOPS, a substantial increase from the previous capacity of 6.8 Peta FLOPS.
In keeping with the tradition, the state-of-the-art system has been named after celestial entities connected to the Sun. Previous systems were named Aditya, Bhaskara, Pratyush, and Mihir. The new HPC system is aptly named ‘Arka’ and ‘Arunika,’ reflecting its connection to Surya or the Sun, the primary energy source for the Earth system. This enhanced computational framework will enable the development of sophisticated models leveraging advanced technologies such as AI and ML, thereby significantly improving last-mile services rendered to various stakeholders.
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