Hard Factual Recall

Hyper-Local Meteorological Infrastructure

Deconstruct Hyper-Local Meteorological Infrastructure through official answer keys.

Official Question UPSC 2026

Which of the following statements with regard to India's indigenous new high resolution weather model, the 'Bharat Forecast System,' is/are correct? 1. Its objective is to generate forecasts at the Panchayats cluster level. 2. It was developed by IIT Delhi. Select the answer using the code given below:

Solution & Analysis

Answer: A
Let us examine the administrative and technological background of the Bharat Forecast System (BFS) under the Ministry of Earth Sciences (MoES):
•Statement 1 is Correct: The BFS represents a massive leap in Indian meteorology. By utilizing a highly granular 6 km x 6 km grid, its primary objective is to deliver hyper-local, highly accurate weather predictions down to the Panchayat cluster level (block/village level). This precision is vital for issuing localized agricultural advisories and managing rural disaster responses.
•Statement 2 is Incorrect: While IIT Delhi is a premier technology institute, meteorology is governed by specialized bodies. The BFS was indigenously modeled and developed by the Indian Institute of Tropical Meteorology (IITM) in Pune, an autonomous institute under MoES. The computational heavy lifting is powered by new MoES supercomputers, such as 'Arka' at IITM.
Conclusion: Because the model was built by IITM Pune and not IIT Delhi, only Statement 1 is factually correct.

Quick Recall

The Bharat Forecast System is an indigenous, ultra-high-resolution weather model designed to generate hyper-local forecasts at the Panchayat cluster level. It was developed by the Indian Institute of Tropical Meteorology (IITM) in Pune, utilizing advanced supercomputing infrastructure.

Concept Flow Mapping

Bharat Forecast System
Generates
Panchayat-Level Forecasts
Bharat Forecast System
Developed By
Indian Institute of Tropical Meteorology (IITM)
IITM
Located In
Pune

Concept Question

Which institute is responsible for the indigenous development of the high-resolution Bharat Forecast System?

Key Takeaway

The Indian Institute of Tropical Meteorology (IITM), Pune.

Examiner's Trap

The examiner uses the prestige of 'IIT Delhi' as a distractor. Because candidates frequently associate advanced technology immediately with the IITs, they might overlook the specialized mandate of MoES institutes like IITM Pune in meteorological development.

Core Insight

India's agriculture is highly dependent on micro-climates and the monsoon. A broad state-level forecast is useless to a farmer facing localized hail or a flash flood. Panchayat-level (6km grid) precision allows for hyper-local agricultural advisories and precise disaster evacuation protocols.