Excelsior Correspondent
NEW DELHI, Feb 6: Union Minister of State (Independent Charge) for Science and Technology, Minister of State (Independent Charge) for Earth Sciences, Minister of State in the Prime Minister’s Office, Department of Atomic Energy, Department of Space, and Personnel, Public Grievances, and Pensions, Dr Jitendra Singh today informed the Rajya Sabha about “Mission Mausam” approved by the Union Cabinet.
In reply to a question, the Minister told the House that “Mission Mausam” is envisaged to be a multi-faceted and transformative initiative to boost India’s weather and climate-related issues, research, and services. It will help better equip stakeholders, including citizens and last-mile users, to tackle extreme weather events and the impacts of climate change. The Mission Mausam is launched to make Bharat a “weather-ready and climate-smart” nation, with the objectives of (i) Strengthening observations (in-situ & remote sensing), (ii) Gaining a better understanding and use of Science, Innovation and Technology, and Data Science for societal benefit, (iii) Improve our Model/Data Assimilation/HPC for giving accurate information to the Public and stakeholders (Numerical+Artificial Intelligence and Machine Learning), (iv) Trained Manpower in Earth System Science, (v) Forecast dissemination, and (vi) Effective communication with Society: Early Warning for ALL
The Ministry is coordinating the initiative through its R&D institutions, including the India Meteorological Department (IMD), the Indian Institute of Tropical Meteorology (IITM), and the National Centre for Medium Range Weather Forecasting (NCMRWF).
Dr Jitendra Singh stated that the Mission Mausam is designed to enhance weather monitoring and forecasting capabilities across the country and its surrounding regions.
The Mission Mausam is expected to provide accurate forecasts across various timescales, from short-term weather predictions (hours to days) to medium-term forecasts (weeks) and long-term (seasonal) predictions. This will be achieved through the deployment of next-generation observation systems, high-performance computing infrastructure, and advanced Earth system models.The integration of Artificial Intelligence (AI) and Machine Learning (ML) technologies will further improve the precision of predictions by enhancing model accuracy and prediction resolution.
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