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GOVERNMENT OF INDIA
MINISTRY OF EARTH SCIENCES
RAJYA SABHA
UNSTARRED QUESTION NO. 2288
ANSWERED ON 12/03/2026
STATUS OF IMPLEMENTATION OF MISSION MAUSAM
2288. # SHRI MAYANKKUMAR NAYAK:
DR. KAVITA PATIDAR:
SMT. KIRAN CHOUDHRY:
SMT. SEEMA DWIVEDI:
SHRI BABUBHAI JESANGBHAI DESAI:
DR. BHAGWAT KARAD:
SHRI CHUNNILAL GARASIYA:
SMT. MAYA NAROLIYA:
SHRI SUBHASH BARALA:
Will the Minister of EARTH SCIENCES be pleased to state:
(a) the progress made in the implementation of Mission Mausam, launched under IMD
Vision 2047, with High Performance Computing (HPC) augmentation to 21 petaFlops
for high-resolution weather forecasting, Al/ML integration and seamless services;
(b) the improvements in forecast accuracy for cyclones, monsoons and heatwaves and
economic impact quantified,
(c) whether the Ministry has assessed public benefit and proposes phase-II expansion; and
(d) if so, the details thereof?
ANSWER
THE MINISTER OF STATE (INDEPENDENT CHARGE) FOR
MINISTRY OF SCIENCE AND TECHNOLOGY
AND EARTH SCIENCES
(DR. JITENDRA SINGH)
(a) Under Mission Mausam, the High-Performance Computing (HPC) systems of the
Ministry of Earth Sciences were inaugurated on 26 September 2024 by the Hon’ble
Prime Minister at the Indian Institute of Tropical Meteorology, Pune and the National
Centre for Medium Range Weather Forecasting, Noida. The systems, named “ARKA”
(computing capacity of 11.77 petaflops) and “ARUNIKA” (8.24 petaflops), along with
a dedicated 1.9 petaflops AI/ML system, have increased the Ministry’s total computing
capacity to 21.91 petaflops. This enhanced computational infrastructure enables
development of advanced high-resolution weather and climate models, and the
application of Artificial Intelligence and Machine Learning for forecasting.
(b) IMD has achieved a significant leap in tropical cyclone forecasting accuracy during the
2021-2025 period compared to 2016-2020. Track forecast errors have been reduced by
5-10% for lead times up to 48 hours and by 20-25% for longer lead times. Intensity
forecasting has also shown substantial improvement, with a 33-35% enhancement forlead times up to 72 hours, while errors at the 96-hour lead time have decreased by 10%.
The most pronounced improvement has been observed in landfall prediction, which is
critical for timely coastal evacuations. Landfall point errors decreased by 35-45% for
24 to 48 hours and by about 20% for other lead periods. The average 24- hour landfall
point error reduced from 31.9 km during 2016-20 to 19.0 km during 2021-25, while the
48-hour landfall error declined from 61.5 km to 34.4 km. Heatwave forecasts are now
issued 4–5 days in advance, enabling effective implementation of heat action plans by
State and district authorities. These improvements have resulted in significant socio-
economic benefits, including timely evacuation during cyclones, better agricultural
planning during the monsoon, and improved disaster preparedness, thereby reducing
loss of life, property, and economic disruptions across multiple sectors.
(c) Yes. The Ministry of Earth Sciences (MoES) periodically evaluates the benefits of
improvements in weather and climate services through impact assessments, verification
of forecast skill scores, and feedback from user sectors such as agriculture, disaster
management, aviation, fisheries, and energy. These assessments indicate that improved
forecasting capabilities—implemented by institutions such as the India Meteorological
Department, Indian Institute of Tropical Meteorology, and the National Centre for
Medium Range Weather Forecasting—have resulted in significant public benefits,
including better early warnings for cyclones, heatwaves, heavy rainfall, and other
extreme weather events. The improvements have enabled timely evacuations, enhanced
disaster preparedness, better agricultural decision-making, and reduced loss of life and
property. Yes, the Ministry of Earth Sciences (MoES) is proposing the extension of
Mission Mausam to Phase-II based on the progress achieved and the growing demand
for improved weather and climate services.
(d) Further, Mission Mausam has been designed as a multi-phase programme. The
Government proposes to continue and expand the initiative in subsequent phases based
on the outcomes of the first phase. Several initiatives under the mission expected to
improve our understanding of the complex weather processes. The proposed second
phase will focus on further strengthening the national weather observation network,
enhancing high-resolution weather and climate modelling capabilities using advanced
High-Performance Computing, integrating Artificial Intelligence and Machine
Learning in forecasting systems.
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