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GOVERNMENT OF INDIA
MINISTRY OF EARTH SCIENCES
LOK SABHA
UNSTARRED QUESTION NO. 558
TO BE ANSWERED ON WEDNESDAY, 22ND JULY, 2026
BHARAT FORECAST SYSTEM
†558. SHRI MITESHBHAI RAMESHBHAI PATEL:
Will the Minister of EARTH SCIENCES be pleased to state:
(a) the main features and objectives of the recently launched India Forecast System and
the manner in which this system strengthens India's weather forecasting capability;
(b) the manner in which the India Forecast System is contributing to reducing crop losses
and improving disaster preparedness especially in the context of climate change; and
(c) the manner in which it is important for the Bharat Forecast System to be developed
indigenously and is in line with the goals of Atmanirbhar Bharat and Make in India
initiatives?
ANSWER
THE MINISTER OF STATE (INDEPENDENT CHARGE) FOR
MINISTRY OF SCIENCE AND TECHNOLOGY
AND EARTH SCIENCES
(DR. JITENDRA SINGH)
(a) The Bharat Forecast System (BharatFS) is based on the newly implemented Triangular
Cubic Octahedral (TCo) dynamical grid that enables the model to operate at 6 km
horizontal resolution, surpassing its predecessor (GFS T1534 ~ 12km) and typical
global operational models having horizontal resolution of 9–14 km. The recently
acquired supercomputing facilities, Arka (IITM-Pune) and Arunika (NCMRWF-
Noida), enabled the model to be used for real-time weather prediction by reducing the
runtime. These key features have enhanced India's weather prediction capabilities by
making India the only country running a global weather prediction model at a high
resolution of 6 km for real-time weather prediction. The BharatFS was developed with
the objective of generating forecasts at the cluster of panchayats level and improving
the prediction of extremes.
(b) With the increase in horizontal resolution, the BharatFS is capable of generating
forecasts every 6 km. This allows the capturing of local weather features, thus enabling
the forecasts to cater to a cluster of panchayats/villages. Localized forecasts help
farmers with crop planning, irrigation, and harvesting. Additionally, water authorities
can better manage reservoirs during monsoons, reducing flood risk and improving yield
resilience. Climate change is increasing the frequency and severity of extreme events,
and BharatFS has demonstrated significant improvement in the skill of predicting the
core monsoon region's extreme rainfall. All these improvements are crucial for faster
and targeted disaster response, increasing the disaster preparedness of our country.(c) The BharatFS being developed indigenously is highly significant, not only for
advancing India's scientific capabilities but also for furthering national strategic and
economic goals. BharatFS represents India's own high-resolution weather prediction
model, designed by Indian scientists considering the complexities of forecasting due to
Indian geography—the Himalayas and Western Ghats.
The BharatFS was developed by a team of scientists from Indian institutions like IITM-
Pune, with support from the NCMRWF-Noida and the India Meteorological
Department (IMD). The modeling system is powered by indigenous MoES
supercomputing facilities (Arka and Arunika). These achievements are aligned with
"Make in India" – Showcasing India's capability to build world-class weather and
climate forecasting systems locally. The development and launch of BharatFS has
enabled India to upgrade its meteorological services and support neighboring countries,
reinforcing regional leadership and self-reliance.
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