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Q49 (IAS/2026) Science & Technology › New Materials, Energy & Environment-linked Tech Official Key

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:

Result
Your answer: —  ·  Correct: A

Explanation

Statement 1 is correct: The Bharat Forecast System (BharatFS) operates on a 6 km horizontal resolution, which is roughly the size of a cluster of panchayats or villages. Its primary objective is to generate highly accurate, location-specific forecasts at the panchayat cluster level and improve the prediction of extreme weather events like cyclones, heavy rainfall, and heatwaves.

Statement 2 is incorrect: The BharatFS was developed by the Indian Institute of Tropical Meteorology (IITM), Pune, an autonomous institute under the Ministry of Earth Sciences, not by IIT Delhi. The model is based on the Triangular Cubic Octahedral (TCo) dynamical grid and utilizes India's advanced supercomputing facilities to provide real-time weather predictions, significantly reducing runtime and improving accuracy over earlier models.

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Don’t just practise – reverse-engineer the question. This panel shows where this PYQ came from (books / web), how the examiner broke it into hidden statements, and which nearby micro-concepts you were supposed to learn from it. Treat it like an autopsy of the question: what might have triggered it, which exact lines in the book matter, and what linked ideas you should carry forward to future questions.
Which of the following statements with regard to India's indigenous new high resolution weather model, the 'Bharat Forecast System,' is/are …
At a glance
Origin: Mostly Current Affairs Fairness: Low / Borderline fairness Books / CA: 0/10 · 10/10
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This is a pure Current Affairs bouncer from the Science & Tech and Disaster Management overlap. It tests your awareness of major government initiatives (Mission Mausam) launched recently. If you don't track PIB or MoES announcements, the institutional developer is a hard guess.

How this question is built

This question can be broken into the following sub-statements. Tap a statement sentence to jump into its detailed analysis.

Current-affairs signal
CA salience: high_clustered CA window: 2025-05-26 → 2025-08-08 Strong web sources: 9
Statement 1
What is the primary objective of the Bharat Forecast System weather model?
Origin: Web / Current Affairs Fairness: CA heavy Web-answerable
Web / Current Affairs
www.pib.gov.in Primary · Govt
Presence: 5/5
"The goal of BharatFS's development was to enhance the accuracy of extreme weather prediction and produce forecasts at the panchayat cluster level. The recently launched BharatFS has been developed primarily for improving the short- and medium-range weather prediction and not for long range forecasting."
Why this source?
  • The Bharat Forecast System (BharatFS) was developed to enhance the accuracy of extreme weather prediction.
  • A primary objective is to produce high-resolution weather forecasts at the panchayat or village cluster level.
  • It aims to improve short- and medium-range weather prediction (up to 10 days) rather than long-range forecasting.
www.moes.gov.in Primary · Govt
Presence: 5/5
Why this source?
  • The system enhances India's weather prediction resolution from 12 km to 6 km.
  • It is designed to provide village-specific forecasts to supplement economic growth by reducing potential losses in climate-sensitive sectors.
  • It is a key component of the 'Mission Mausam' initiative launched to make India 'weather-ready and climate-smart'.
ddnews.gov.in Primary · Govt
Presence: 5/5
Why this source?
  • The model uses a Triangular Cubic Octahedral (TCo) dynamical grid to achieve its 6 km resolution.
  • It specifically targets the improvement of rainfall forecasts over the core monsoon region and extreme rainfall events.
  • It provides actionable guidance for emergency services and sectors like agriculture and disaster management.
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