Examine the role of indigenous supercomputing infrastructure in advancing India's scientific self-reliance, with reference to recent developments in weather forecasting.

Q. Examine the role of indigenous supercomputing infrastructure in advancing India's scientific self-reliance, with reference to recent developments in weather forecasting. (15 marks, 250-350 words)

High-Performance Computing (HPC) is the laboratory of modern earth sciences: forecasts, climate projections and ocean models are only as good as the compute behind them. India's leap from 6.8 to 22 PetaFLOPS of Ministry of Earth Sciences (MoES) computing capacity [1] shows how indigenous infrastructure converts imported science into home-grown capability.

Compute as the enabler of indigenous models - The HPC systems Arka (IITM, Pune — 11.77 PFLOPS, 33 PB storage) and Arunika (NCMRWF, Noida — 8.24 PFLOPS, 24 PB), a ₹850 crore investment dedicated in September 2024, form the backbone [1]. - They cut the runtime of the Bharat Forecast System (BharatFS) from about 12 hours to 3–6 hours, making an experimental model operationally viable in real time [2].

Frontier science, not catch-up - BharatFS, built on the indigenous Triangular Cubic Octahedral (TCo) grid, runs at 6 km resolution against its predecessor GFS T1534's ~12 km and global peers' 9–14 km — making India the only country operating a global model at this resolution in real time [2]. - Developed by IITM-Pune with NCMRWF and IMD, it demonstrates end-to-end domestic capacity in model design, computing and delivery [3].

Developmental dividend - Forecasts now reach the cluster-of-panchayats level up to 10 days ahead, aiding farm operations, fisherfolk advisories and flood/cyclone preparedness [3]. - Extreme-rainfall prediction accuracy has improved by about 30 per cent, strengthening disaster early warning [2].

Limitations - Hardware remains largely imported, and gains depend on a denser observation network, sustained scientific manpower and last-mile dissemination — high resolution alone does not guarantee usable local advisories.

Indigenous supercomputing thus shifts India from being a consumer of foreign forecasts to a producer of frontier ones. Deepening this requires domestic processor development under the National Supercomputing Mission, expanded radar and buoy networks, and tighter integration of forecasts with agricultural extension and disaster-response machinery — turning computational self-reliance into resilience for the most weather-vulnerable citizens.

(~320 words)

Sources: 1. The New HPC Systems named 'Arka' and 'Arunika', PIB (26 September 2024) — 6.8 to 22 PetaFLOPS upgrade, Arka and Arunika capacities and storage, ₹850 crore investment 2. Parliament Question: Bharat Forecast System, PIB/Ministry of Earth Sciences — TCo grid, 6 km versus 12 km and 9–14 km resolutions, runtime reduction, extreme-rainfall accuracy gain 3. Union Earth Sciences Minister Unveils Indigenously Developed High-Resolution 'Bharat Forecast System' by IITM, PIB (May 2025) — development by IITM-Pune with NCMRWF and IMD, panchayat-cluster forecasts up to 10 days