Mission Mausam: Enhancing Weather Forecasting and Early Warning Systems

Why in news

Parliamentary question highlights the objectives and components of Mission Mausam, a government initiative aimed at improving weather forecasting and early warning systems in India.

Exam relevance

GS3, GS1 · Science & Technology, Environment & Ecology, Governance · Prelims · Mains

Key facts

1. Mission Mausam was launched on January 14, 2025.
2. The mission aims to make India 'Weather-ready and Climate-smart'.
3. Key objectives include enhancing Earth System observations, developing an early warning system, and providing seamless weather and climate services.
4. It seeks to improve weather and climate observations, understanding, modelling, and forecasting.
5. Components include developing advanced surveillance technologies, higher-resolution atmospheric observations, deploying next-generation radars, wind profilers, and satellites.
6. Implementation of advanced High-Performance Computing (HPC) systems and AI/ML for prediction is part of the mission.
7. The mission also focuses on creating technologies for weather management and establishing a Decision Support System (DSS).

Prelims pointers

• Mission Mausam launched in 2025.
• Objective: 'Weather-ready and Climate-smart' nation.
• Focus on Earth System observations and early warning systems.
• Involves advanced technologies: next-gen radars, satellites, HPC, AI/ML.

Mains practice question

Discuss the significance of Mission Mausam in strengthening India's weather forecasting capabilities and its implications for disaster management and climate resilience.

Static linkage

The initiative relates to India's efforts in disaster management, climate change adaptation, and leveraging scientific and technological advancements for public welfare and national security. It also connects to the role of meteorological departments and scientific institutions in providing critical data for various sectors.

Significance

Mission Mausam is crucial for enhancing India's resilience to weather-related disasters by providing timely and accurate forecasts and early warnings. Improved weather and climate services can support sectors like agriculture, water resource management, and disaster preparedness, leading to economic benefits and safeguarding lives and property. The integration of advanced technologies like AI/ML and HPC signifies a move towards a more sophisticated and data-driven approach to environmental monitoring and forecasting.