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IMD launches two AI-enabled advanced weather forecasting systems. india news
New Delhi: The India Meteorological Department (IMD) on Tuesday launched two new services, including an AI-enabled monsoon advance forecast system, which will provide seasonal rainfall progress and “localized weather information” up to four weeks in advance to support farmers in 16 states and over 3,000 sub-districts.On the other hand, the second product relates to high resolution spatial rainfall forecast for Uttar Pradesh as a pilot service. It demonstrates the ability to generate operational rainfall forecasts at 1-km resolution up to 10 days in advance using dense observation networks and AI techniques. With continued growth of observational infrastructure, similar services will be gradually expanded to other parts of the country.The pilot system uses advanced AI-powered downscaling techniques and integrates data from automated rain gauges, automated weather stations, Doppler weather radar, and satellite-based precipitation datasets.Apart from using various methods including mobile applications, SMS alerts, WhatsApp, farmer portal, television and other digital platforms, these hyperlocal forecast information will also be relayed through displays installed in vegetable markets and other markets. This information will also be available to members of rural self-help groups.Launching the two forecast products, Union Earth Sciences Minister, Jitendra Singh said the newly launched systems mark a major shift from traditional weather forecasting towards impact-based and decision-support forecasts, capable of providing “accurate, location-specific and actionable information” to farmers, administrators, disaster managers and citizens.The system has been jointly developed by IMD, Indian Institute of Tropical Meteorology (IITM), Pune and National Center for Medium Range Weather Forecasting (NCMRWF).Singh said the initiative will be especially useful for agriculture, water resources, renewable energy, urban planning, disaster management and infrastructure sectors. He said farmers will now be able to make more informed decisions related to sowing, irrigation, crop protection and crop planning with greater local precision. M Ravichandran, Secretary, Ministry of Earth Sciences, said the newly launched products are stakeholder-driven forecasting systems, developed using a combination of numerical weather prediction models and AI-based data-driven approaches. He said the system was developed in response to growing demand from agriculture and other sectors for “highly localized and high-resolution weather forecasts.”
Big score not important in T20, discipline is important: RCB bowling coach Salvi raipur news
As Royal Challengers Bangalore look to strengthen their chances of sealing a playoff berth with a win against Kolkata Knight Riders at the Shaheed Veer Narayan Singh International Cricket Stadium on Wednesday, RCB bowling coach Omkar Salvi dismissed the obsession with high-scoring matches, insisting that disciplined execution can make totals in the 160-180 range highly defendable on the right surface.Salvi stressed on mental clarity for the bowlers amid unpredictable conditions ahead of RCB’s clash with in-form Kolkata Knight Riders. “Length and clarity at the top of the mark is very important,” he said, urging bowlers to keep plans simple, understand wickets quickly and rely on adaptability over reactive tactics.He praised the development of young fast bowlers through observation and setbacks and credited the close win for boosting the confidence of the dressing room. all-rounder Krunal PandyaThe pressure batting fits into RCB’s process-driven approach, with the focus only on controllable elements like preparation – no worries about the toss or the pitch.Against the surge in KKR’s batting, Salvi preferred RCB’s strengths. Simplicity and discipline remain decisive in high scoring T20.
