Mission Mausam is a Central Sector Scheme of the Ministry of Earth Sciences (MoES) to make India "Weather-ready and Climate-smart" through next-gen observation, modelling and forecasting infrastructure. [1]
Cabinet-approved on 11 September 2024 with outlay of ₹2,000 crore over two years (2024-26); formally launched by the PM on 14 January 2025. [1][2]
High-value for Prelims (numbers, HPC names, launch dates) and Mains GS-III (disaster management, S&T, climate resilience). [2]
2. Why in the News
Recurring Parliament Questions (Lok Sabha/Rajya Sabha) on status of implementation, regional roll-out (e.g., North-East, Odisha), and radar network expansion have been answered by MoES through 2025-26, including the latest PIB release dated 23 July 2026 (PRID 2288238) on implementation status. [3][4]
3. Background & Evolution
11 September 2024: Union Cabinet approves Mission Mausam, outlay ₹2,000 crore for 2024-26. [1]
26 September 2024: PM inaugurates High-Performance Computing (HPC) systems "ARKA" and "ARUNIKA" plus a dedicated AI/ML system, raising MoES total computing capacity to 21.91 petaflops. [1]
14 January 2025: Formal launch of Mission Mausam by the Prime Minister. [2]
Distinct from the earlier "Project Mausam" (Ministry of Culture, 2014), a cultural/maritime heritage initiative connecting Indian Ocean nations — frequently confused with this scheme. [1]
4. Core Static Facts
Implementing Ministry: Ministry of Earth Sciences (MoES). [2]
Outlay: ₹2,000 crore over two years (2024-26). [1]
Launch date: 14 January 2025, by the Prime Minister. [2]
Executing agencies: India Meteorological Department (IMD), Indian Institute of Tropical Meteorology (IITM), National Centre for Medium Range Weather Forecasting (NCMRWF). [2]
HPC systems: "ARKA" (11.77 petaflops), "ARUNIKA" (8.24 petaflops), plus dedicated AI/ML system (1.9 petaflops); total MoES capacity raised to 21.91 petaflops. [1]
Core objective: Strengthen Earth System observations for an Earth-System-approach-based early warning system for seamless weather and climate services. [2]
5. Multi-Dimensional Analysis
Scientific/Technological: Deployment of next-generation radars and satellites with advanced payloads; higher-resolution atmospheric observation networks; enhanced numerical weather prediction (NWP) models via new HPC/AI-ML capacity. [1][2]
Administrative: Implementation split across IMD (observation/forecasting), IITM (modelling research), NCMRWF (medium-range prediction) under MoES; region-specific roll-out queried in Parliament for North-East and Odisha. [2]
Environmental: Aims to strengthen community resilience against climate change and extreme weather events (cyclones, floods, heatwaves). [1]
Economic: ₹2,000 crore central outlay; expected downstream economic benefits via better agricultural, aviation, and disaster-preparedness forecasting. [1]