29 January 2026·PIB

PARLIAMENT QUESTION: FORECAST SYSTEM

In this note

1. At a Glance

BharatFS is India's indigenously developed high-resolution Numerical Weather Prediction (NWP) model operating at ~6 km horizontal resolution, the world's highest for an operational global model. [1][3]
Developed by IITM-Pune under Ministry of Earth Sciences (MoES), supported by NCMRWF-Noida and IMD. [1][2]
Significant for UPSC: intersects GS-III (S&T, Disaster Management), agriculture, and India's push for indigenous scientific capability ("Atmanirbhar Bharat" in weather modelling). [3]

Subject of a Parliament Question (Lok Sabha) answered by MoES on 29 January 2026 on accuracy of weather predictions. [1]
Operationally launched on 26 May 2025 at Vigyan Bhawan, New Delhi, by Union Minister of Earth Sciences Dr. Jitendra Singh. [3]

Predecessor: Global Forecast System GFS T1534 running at ~12 km resolution. [1]
Built on the newly implemented Triangular Cubic Octahedral (TCo) dynamical grid — improved orography representation, filtering, and conservation properties. [1]
Enabled by acquisition of two supercomputers — Arka (IITM-Pune) and Arunika (NCMRWF-Noida) — which cut model runtime from ~12 hours to 3–6 hours. [1]
Project spearheaded by a team including four women scientists. [3]

Parent ministry: Ministry of Earth Sciences (MoES). [1]
Developer: Indian Institute of Tropical Meteorology (IITM), Pune. [1][3]
Supporting bodies: NCMRWF (Noida), India Meteorological Department (IMD). [1]
Grid: Triangular Cubic Octahedral (TCo). [1]
Resolution: ~6 km (vs. 9–14 km for typical global operational models; 12 km for predecessor GFS T1534). [1]
Forecast horizon: 10-day forecast of rainfall, temperature, low-pressure genesis. [1]
Supercomputers: Arka + Arunika. [1]
Data inputs: Integrates real-time data from 40 Doppler Weather Radars. [3]

Scientific / Technological

TCo grid offers better mass/energy conservation than standard Gaussian grids — important for tropical convection. [1]
Resolution leap from 12 km → 6 km enables block-level forecasts (existing administrative blocks span ~12 km+). [1]
Runtime reduction (12 h → 3–6 h) is what makes the high-res model operationally viable. [1]

Administrative / Disaster Management

Improves early warning for farmers, fishermen, and disaster-prone communities — feeding into IMD's dissemination chain. [1]
Higher skill for extreme rainfall events (~30% improvement claimed) is critical for monsoon-flood preparedness. [3]

Economic

Better block-level rainfall forecasts directly support agro-advisories (Krishi Vigyan Kendras) and fisheries advisories (potential fishing zone). [1]
Inputs to insurance (PMFBY) and commodity planning.

Strategic / Indigenous Capability

One of the world's first indigenously developed high-resolution global NWP models — reduces dependence on ECMWF/NCEP outputs. [3]

26 May 2025: Operational launch at Vigyan Bhawan by Dr. Jitendra Singh. [3]
29 Jan 2026: MoES reply to Parliament Question detailing BharatFS performance and accuracy claims. [1]

BharatFS operates at ~6 km horizontal resolution. [1]
Uses the Triangular Cubic Octahedral (TCo) dynamical grid. [1]
Developed by IITM-Pune under Ministry of Earth Sciences (not MoEFCC, not DST). [1]
Predecessor model: GFS T1534 at ~12 km. [1]
Supercomputers used: Arka (IITM-Pune) and Arunika (NCMRWF-Noida). [1]
Provides a 10-day forecast of rainfall, temperature and low-pressure genesis. [1]
Launched on 26 May 2025 at Vigyan Bhawan, New Delhi. [3]
Integrates real-time data from 40 Doppler Weather Radars. [3]
Model runtime reduced from ~12 hours to 3–6 hours. [1]
Project team prominently includes four women scientists. [3]
Supporting agencies include NCMRWF (Noida) and IMD. [1]
Targets forecasts at the district and block level. [1]

GS-III: Science & Technology — indigenisation of weather modelling; Disaster Management — early warning for cyclones/floods; Agriculture — agro-advisories.
GS-I: Indian Geography — monsoon dynamics.
Possible question stems:
"Discuss how the Bharat Forecast System represents a paradigm shift in India's weather prediction capability and its implications for disaster preparedness."
"High-resolution numerical weather prediction is as much a computational achievement as a meteorological one. Examine in the context of BharatFS."
"Evaluate the role of indigenous supercomputing (Arka, Arunika) in advancing India's earth system services."

Mission Mausam — MoES umbrella programme; BharatFS is a key deliverable.
NCMRWF & IMD — institutional architecture of weather services.
National Supercomputing Mission — Param series; backbone for NWP.
Doppler Weather Radar network — observational input to BharatFS.
Cyclone early warning — IMD colour-coded alerts; application of high-res NWP.
PMFBY (crop insurance) — downstream user of block-level rainfall forecasts.
AI in weather forecasting — parallel MoES initiative (separate PIB note PRID 2158416).
Monsoon Mission — earlier MoES initiative that seeded indigenous modelling.

Confusing developer (IITM-Pune) with IMD — IMD is the disseminator; IITM is the modeller.
Mixing up Arka (IITM) and Arunika (NCMRWF) supercomputers.
Treating BharatFS as a satellite mission — it is a numerical model, not a satellite.
Citing ministry as MoEFCC or DST — correct parent is Ministry of Earth Sciences.
Quoting resolution as 12 km — that is the predecessor GFS T1534; BharatFS is 6 km.