IMD also collects feedback from government agencies, disaster management authorities, farmers, fishermen, and other stakeholders to understand whether warnings are translating into timely action and reduced losses. With climate change making extreme weather events more frequent, intense, and localised, IMD says the biggest challenge ahead is predicting hyperlocal events such as sudden heavy rainfall, thunderstorms, lightning, and squalls. To address this, India is expanding its observation network under Mission Mausam; increasing radar coverage from 49 to 126, adding automated weather stations, improving computing capacity, and integrating artificial intelligence with traditional forecasting models. By 2030, IMD expects these upgrades to deliver further improvement in forecast accuracy, especially at the local level. The focus now is on creating a seamless forecasting ecosystem, from seasonal predictions to hourly alerts, helping sectors such as agriculture, aviation, disaster management, and urban planning better prepare for a changing climate.