Search

Subscribe Our News

Subscribe Our News

New Tech in Weather Forecasting in Chennai

The National Institute of Ocean Technology (NIOT), Chennai, is embarking on a significant initiative to revolutionize India’s weather forecasting systems. Under the “Mission Mausam”, the institute is developing advanced tools such as autonomous floats, high-resolution radar, and lidar-based systems to enhance the accuracy of cyclone and atmospheric predictions. This move comes at a critical time when India faces increasing threats from extreme weather events, including cyclones, floods, and heatwaves, which directly impact millions of lives and livelihoods.

One of the key innovations includes the deployment of ocean floats and buoys capable of collecting real-time data on sea surface temperature, salinity, and wave conditions. These observations will feed into forecasting models, helping scientists better predict the intensity and path of cyclones before landfall. Additionally, lidar (light detection and ranging) systems are being tested to provide high-precision data on cloud formation and wind speeds at different altitudes.

The integration of this technology with existing satellite data is expected to significantly reduce the margin of error in forecasts. According to NIOT experts, the improved accuracy could give disaster management agencies a wider window to prepare and evacuate vulnerable populations. This is especially crucial for coastal states like Tamil Nadu, Andhra Pradesh, and Odisha, which are frequently exposed to cyclonic storms.

Beyond disaster preparedness, the technology will also support long-term climate research, helping India track changing monsoon patterns and assess the impact of climate change on regional weather systems. As the country strengthens its capability in indigenous forecasting technologies, it also reduces reliance on international data models.

By combining scientific innovation with national preparedness, Chennai’s NIOT is positioning India as a global leader in climate resilience and disaster forecasting, a step that could save countless lives and safeguard economic stability in the years ahead.