Weather Forecasting — Tech Evolutions

Entry	Year	Description	Impact
Technological Leap: INSAT-1B Operationalization	1983	The operationalization of INSAT-1B marked a fundamental 'amendment' to India's weather observation capabilities. It provided the first indigenous geostationary satellite data for continuous monitoring of the Indian subcontinent and surrounding oceans, a significant upgrade from previous sporadic observations.	Revolutionized cyclone tracking, monsoon monitoring, and provided crucial real-time data for early warning systems, significantly enhancing forecast lead times and accuracy.
Policy Shift: Monsoon Mission (MM) Launch	2012	The launch of the Monsoon Mission by the Ministry of Earth Sciences was a strategic 'amendment' to India's approach to monsoon forecasting. It aimed to develop and implement a state-of-the-art dynamic prediction system for monsoon rainfall, moving beyond statistical models.	Led to significant improvements in seasonal and extended-range monsoon forecasts, benefiting agricultural planning and water resource management, and fostering indigenous model development (e.g., IMD's Monsoon Mission Coupled Forecast System).
Infrastructure Upgrade: Doppler Weather Radar (DWR) Network Expansion	2005 onwards	A sustained 'amendment' in meteorological infrastructure involved the phased expansion of the Doppler Weather Radar (DWR) network across India, particularly along the vulnerable coastline and in metropolitan areas.	Dramatically improved nowcasting capabilities (0-6 hours) for severe weather events like thunderstorms, hailstorms, and localized heavy rainfall, enhancing early warning for aviation and disaster management.
Computational Power: Supercomputer Upgrades for NWP	2010s, 2020s	Continuous 'amendments' in computational infrastructure, with successive upgrades to supercomputing facilities at NCMRWF and IMD, have been critical for running higher-resolution and more complex Numerical Weather Prediction (NWP) models.	Enabled the development and operationalization of advanced global and regional models, leading to better resolution of atmospheric processes and improved accuracy for medium-range forecasts.