PARLIAMENT QUESTION: BHARAT FORECAST SYSTEM

Now I have sufficient facts from Tier-1 sources. Writing the study note.

1. At a Glance

BharatFS (Bharat Forecast System) is India's indigenously developed high-resolution Numerical Weather Prediction (NWP) model, operational at 6 km horizontal resolution — the highest resolution at which any country runs a global weather model in real time [S1].
Developed by IITM Pune under the Ministry of Earth Sciences (MoES), it generates forecasts down to the cluster-of-panchayats/village level [S1][S2].
Relevant for Prelims (S&T, institutions, numbers) and Mains GS-III (disaster management, science & tech, agriculture-linked early warning).

2. Why in the News

Answered as a Parliament Question in the Ministry of Earth Sciences on 22 July 2026, reiterating BharatFS's technical specifications (TCo grid, 6 km resolution, Arka/Arunika supercomputers) [S1].
BharatFS was officially unveiled/adopted by IMD on 26–27 May 2025 [S2][S3].

3. Background & Evolution

MoES computing capacity upgraded via new High Performance Computing (HPC) systems, dedicated to the nation by the Prime Minister on 26 September 2024 [S4].
These HPC systems — Arka (IITM, Pune) and Arunika (NCMRWF, Noida) — raised MoES's total computing power from 6.8 PetaFLOPS to 22 PetaFLOPS (Arka: 11.77 PFLOPS/33 PB storage; Arunika: 8.24 PFLOPS/24 PB storage) [S4].
This computing boost enabled BharatFS's runtime to fall from ~12 hours to 3–6 hours, making real-time operational use feasible [S1][S4].
Predecessor model: GFS T1534, resolution ~12 km, versus BharatFS's 6 km and versus other global operational models' typical 9–14 km [S1].
Earlier HPC generation for reference: Pratyush and Mihir systems (pre-Arka/Arunika era) [S4].

4. Core Static Facts

Aspect	Detail
Full name	Bharat Forecast System (BharatFS)
Nodal ministry	Ministry of Earth Sciences (MoES) [S1]
Developing institute	Indian Institute of Tropical Meteorology (IITM), Pune [S2]
Adopting/operational agency	India Meteorological Department (IMD) [S3]
Core technology	Triangular Cubic Octahedral (TCo) dynamical grid [S1]
Resolution	~6 km (6.5 km cited in some releases) horizontal resolution [S1][S3]
Predecessor resolution	GFS T1534 (~12 km) [S1]
Global peer benchmark	9–14 km typical resolution [S1]
Forecast range	Up to 10 days (short + medium range) — rainfall, temperature, low-pressure genesis [S1][S4]
Supercomputers powering it	Arka (IITM-Pune, 11.77 PFLOPS) and Arunika (NCMRWF-Noida, 8.24 PFLOPS) [S4]
Runtime reduction	~12 hours → 3–6 hours [S1][S4]
Accuracy gain	30% improvement in extreme rainfall prediction accuracy (analysis since 2022) [S3]
Public output portal	nwp.imd.gov.in/bharatfsproducts_cycle00_mausam_ar.php [S2]
Formal adoption date	26–27 May 2025 [S2][S3]
HPC dedication date	26 September 2024 (by the Prime Minister) [S4]

5. Multi-Dimensional Analysis

Scientific/Technological - First-of-its-kind: India becomes the only country running a global weather prediction model at 6 km resolution for real-time operational use [S1]. - TCo grid improves orography representation, filtering, and conservation properties over conventional grids [S3].

Administrative - Cross-institute coordination between IITM (Pune) and NCMRWF (Noida) under MoES, backed by dual HPC facilities, reflects federal-level scientific infrastructure planning [S4].

Economic - Higher-resolution, localized forecasts aid agriculture (sowing/harvest decisions) and reduce weather-related crop losses; benefits fisherfolk via localized marine warnings [S2][S4].

Social - Panchayat-cluster-level forecasting directly serves rural/village populations, disaster-prone and vulnerable communities, improving last-mile disaster preparedness [S1][S4].

Environmental - Enhanced extreme rainfall prediction accuracy (30% improvement) strengthens early warning for floods/cyclones, aiding climate-resilience planning [S3].

6. Recent Developments (last 12-18 months)

26 Sept 2024: PM dedicates Arka and Arunika HPC systems to the nation [S4].
26–27 May 2025: BharatFS officially unveiled/adopted by IMD/IITM as operational NWP model [S2][S3].
22 July 2026: Parliament Question on BharatFS answered by MoES, reaffirming technical details and India's unique 6 km real-time capability [S1].

7. Prelims Hooks

BharatFS uses the Triangular Cubic Octahedral (TCo) dynamical grid. [S1]
BharatFS resolution: 6 km, versus predecessor GFS T1534's ~12 km. [S1]
India is the only country running a global weather prediction model at 6 km resolution in real time. [S1]
Developed by IITM, Pune; nodal ministry is Ministry of Earth Sciences, not MoEFCC. [S1][S2]
BharatFS officially adopted by IMD on 26 May 2025. [S3]
Two new supercomputers: Arka (IITM-Pune) and Arunika (NCMRWF-Noida). [S1][S4]
Arka capacity: 11.77 PetaFLOPS, 33 PB storage; Arunika: 8.24 PetaFLOPS, 24 PB storage. [S4]
HPC systems dedicated to nation by PM on 26 September 2024. [S4]
Total MoES computing power rose from 6.8 to 22 PetaFLOPS after Arka/Arunika. [S4]
BharatFS runtime reduced from ~12 hours to 3–6 hours. [S1][S4]
BharatFS provides forecasts up to 10 days (rainfall, temperature, low-pressure genesis). [S1]
Forecast granularity: cluster of panchayats/village level. [S1]
Predecessor HPC systems: Pratyush and Mihir. [S4]
30% improvement in extreme rainfall prediction accuracy since 2022 baseline analysis. [S3]
Public BharatFS outputs available on IMD's nwp.imd.gov.in portal. [S2]

8. Mains Relevance

GS-III: Science & Technology — indigenous technology development; Disaster Management — early warning systems.
GS-II (peripheral): Governance — delivery of public services (weather info) to last-mile/rural units.
Possible question stems:
"Discuss how high-resolution numerical weather prediction models like the Bharat Forecast System can strengthen India's disaster preparedness and agricultural resilience."
"Examine the role of indigenous supercomputing infrastructure in advancing India's scientific self-reliance, with reference to recent developments in weather forecasting."
"What are the limitations of localized weather forecasting at the panchayat level, and how can such systems be better integrated with disaster management frameworks?"

9. Related Topics to Study Next

PARAM Rudra Supercomputers — related indigenous HPC push under National Supercomputing Mission [S4].
National Supercomputing Mission (NSM) — broader institutional framework for HPC in India.
India Meteorological Department (IMD) — parent operational body for weather services.
Indian Institute of Tropical Meteorology (IITM) — R&D institute behind BharatFS.
Mausam App / early warning systems — public dissemination layer for such forecasts.
Cyclone/flood early warning systems — downstream disaster-management application.
Digital Agriculture Mission — link between hyperlocal weather data and farm advisories.

10. Common Errors / Trap Areas

Confusing nodal ministry: BharatFS falls under Ministry of Earth Sciences, not MoEFCC or MeitY.
Mixing up supercomputer names/locations: Arka is at IITM Pune, Arunika is at NCMRWF Noida — not interchangeable.
Confusing BharatFS's TCo grid resolution (6 km) with GFS T1534 (~12 km) — a common numerical trap.
Assuming BharatFS is an ISRO/DRDO project — it is an MoES/IITM/IMD initiative, unrelated to space or defence agencies.
Mixing up dates: HPC dedication (Sept 2024) vs BharatFS operational adoption (May 2025) are distinct milestones.

11. Sources

[S1] PARLIAMENT QUESTION: BHARAT FORECAST SYSTEM (22 Jul 2026) — https://www.pib.gov.in/PressReleasePage.aspx?PRID=2287605 — (tier: 1)
[S2] Union Earth Sciences Minister Dr. Jitendra Singh Unveils One of the World's First Indigenously Developed High-Resolution 'Bharat Forecast System' by IITM — https://www.pib.gov.in/PressReleasePage.aspx?PRID=2131392 — (tier: 1)
[S3] PARLIAMENT QUESTION: BHARAT FORECAST SYSTEM — https://www.pib.gov.in/PressReleasePage.aspx?PRID=2153585 — (tier: 1)
[S4] The New HPC Systems named 'Arka' and 'Arunika' / PM dedicates PARAM Rudra Supercomputers — https://www.pib.gov.in/PressReleasePage.aspx?PRID=2059397 — (tier: 1)