Union Minister Dr. Jitendra Singh announces major expansion of Automatic Weather Stations; India Meteorological Department (IMD) to install 50 AWS each in Delhi, Mumbai, Chennai, and Pune in 2026

On January 16, 2026, Union Minister Dr. Jitendra Singh announced a significant expansion of the Automatic Weather Stations (AWS) network, with the India Meteorological Department (IMD) set to deploy 200 AWS across major cities including Delhi, Mumbai, Chennai, and Pune by 2026. This initiative is crucial for enhancing disaster preparedness and hyper-local weather forecasting, aligning with the objectives outlined in GS Paper 3. Last Updated: 2026-01-16

Key Facts About Automatic Weather Stations (AWS)

• 200 AWS will be deployed in major cities by 2026.
• Announcement made during IMD's 151st Foundation Day celebrations.
• AWS aims to enhance disaster preparedness and response.
• Provides continuous, high-resolution data for accurate forecasting.
• Reduces human error and operational costs in weather monitoring.
• Supports sectors like agriculture, aviation, and public safety.
• IMD's forecast accuracy has improved by 40-50% due to AWS.
• Cyclone prediction accuracy has improved by 35-40% with enhanced data.
• Weather radar network currently covers 87% of India.
• IMD will install 50 AWS each in Delhi, Mumbai, Chennai, and Pune.
• Minister emphasized the need for a dense network of AWS for better forecasting.
• Infrastructure enhancements will include solar and aerosol monitoring technologies.
• IMD plans to establish Centres of Excellence to further improve services.
• IMD's credibility is expected to grow in its 152nd year of operation.
• Supports regional cooperation with neighboring countries for better weather data sharing.
• Strengthens real-time weather forecasting capabilities across urban areas.

Broader Context: Enhancing Urban Weather Forecasting in India

The expansion of the AWS network is a vital step towards improving urban weather forecasting in India, which is essential for achieving the country's economic and social goals. With rapid urbanization, cities face increasing challenges from climate change and extreme weather events. By enhancing forecasting capabilities, India aims to mitigate the impacts of such events, thereby improving public safety and economic resilience. The IMD's initiatives are expected to position India favorably in international rankings related to disaster management and climate adaptation.

Related Government Schemes/Policies

• National Disaster Management Plan: Aims to create a disaster-resilient India.
• Pradhan Mantri Fasal Bima Yojana: Provides insurance to farmers against crop loss due to adverse weather.
• Soil Health Card Scheme: Promotes sustainable agriculture through soil health monitoring.

UPSC Relevance

This initiative is relevant to several aspects of the UPSC syllabus. It aligns with GS Paper 1 (Geography) concerning climate and weather patterns, GS Paper 2 (Governance) in terms of disaster management policies, and GS Paper 3 (Environment) focusing on technology for environmental monitoring. In the Prelims, questions may arise regarding the number of AWS being installed or the cities involved. For the Mains, candidates could explore themes such as the role of technology in disaster management or the impact of climate change on urban planning.

FAQ Section

What is an Automatic Weather Station (AWS)?

An Automatic Weather Station (AWS) is a set of instruments that automatically measures and records weather parameters such as temperature, humidity, wind speed, and precipitation. It provides continuous and high-resolution data crucial for accurate weather forecasting.

Why is the expansion of AWS important?

The expansion of AWS is vital for enhancing disaster preparedness and improving the accuracy of weather forecasts. With the deployment of 200 AWS, the IMD aims to reduce human error and operational costs while supporting critical sectors like agriculture and public safety.

What are the key features of the AWS initiative announced by IMD?

The key features of the AWS initiative include the installation of 200 AWS in major cities, improved forecast accuracy by 40-50%, and enhanced cyclone prediction accuracy by 35-40%. The initiative also emphasizes the need for a dense network of AWS to support real-time weather forecasting.