Urban Testbed and Aerosol Observatory
Why in News?
The facility is in the news because it was officially inaugurated on May 6, 2026, at the SRM Institute of Science and Technology (SRMIST) in Ramapuram, Chennai.
Key details of the launch:
- Inaugurated by: Dr. M. Ravichandran, Secretary of the Ministry of Earth Sciences (MoES).
- Developed by: The Indian Institute of Tropical Meteorology (IITM), Pune, under the flagship "Mission Mausam" initiative.
- Launch of CASRI: Alongside the observatory, the Centre for Atmospheric Science Research and Innovation (CASRI) was also launched to foster academic and scientific synergy.
High-End Instrumentation
- Investment: Houses sophisticated instruments valued at over ₹60 crore.
- Data Tracking: Equipped with approximately 15 advanced instruments designed to monitor nearly 50 different atmospheric parameters.
- Core Technology: Includes a Ceilometer, SODAR, and Micro Rain Radar to provide continuous 3D observations of wind, aerosols, and clouds.
- Future Expansion: Plans include deploying 100 Automatic Weather Stations (AWS) across Chennai and additional X-band radars.
Primary Objectives
- Aerosol Study: Analysing the size, speed, and nature (organic/inorganic) of airborne particles to predict their specific impact on local weather.
- Sea-Land Breeze Interactions: Studying how the transition between sea and land breezes affects urban heat and precipitation.
- Improved Forecasting: Enhancing "Nowcasting" (short-term forecasts) and monsoon predictions for climate-vulnerable coastal cities.
- Climate Resilience: Providing vital short-term data on global warming to assist in long-term urban planning and disaster management.
Collaborative Ecosystem
- Mission Mausam: Part of a larger national mission to make India a "Weather-Ready and Climate-Smart Nation".
- Academic Synergy: A Memorandum of Understanding (MoU) was signed between IITM and SRMIST to facilitate joint research and student training in climate sciences.
- Data Integration: The data will be fed into India Meteorological Department (IMD) models to provide hyper-local, high-resolution weather intelligence for the public.
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