India’s journey in weather forecasting is on the brink of a significant evolution with the integration of cutting-edge artificial intelligence (AI) and machine learning (ML) technologies. Mrutyunjay Mohapatra, the visionary Director General of the India Meteorological Department (IMD), has underscored the pivotal role AI and ML will play in complementing existing numerical weather forecasting models, promising a future of unparalleled forecast accuracy.
The IMD’s unwavering commitment to refining its observational systems to cater to mesoscale weather forecasts for smaller regions, like panchayats spanning approximately 10 square kilometers, has been commendable. To bolster these endeavors, the IMD has meticulously deployed a network of 39 Doppler weather radars covering a substantial 85% of the nation’s landmass. This strategic deployment empowers the IMD to deliver hourly forecasts for key urban centers, ensuring forecasts are not just accurate but also localized to meet specific needs.
Mohapatra’s emphasis on the utilization of AI to analyze the IMD’s extensive archive of digitized weather records dating back to 1901 showcases a forward-thinking approach. By leveraging the power of AI, scientists can extract invaluable insights from this treasure trove of historical data, shedding light on intricate weather patterns. Unlike conventional physics-based models, AI models in weather forecasting pivot towards data science, tapping into past data reservoirs to enhance forecast precision.
With specialized task forces assembled under the aegis of the Ministry of Earth Sciences and IMD, the synergistic interplay between AI and numerical forecasting models is set to redefine India’s weather forecasting landscape. The collective objective is to offer hyper-localized forecasts tailored meticulously to meet the nuanced requirements of sectors such as agriculture, health, urban planning, hydrology, and environment at the grassroots level.
The incorporation of AI and ML into weather forecasting heralds a new era of data-driven decision-making amidst a sea of information abundance. Mohapatra’s affirmation that through mining historical data, AI and ML can unearth actionable insights and elevate forecast accuracy underscores the transformative potential of these technologies.
Moreover, the specter of climate change has ushered in the era of mesoscale phenomena, particularly convective clouds, with profound implications for local communities. Sensing the urgency of this challenge, the IMD’s strategic deployment of Doppler weather radars with a remarkable resolution of 350 meters per pixel covers 85% of the country, facilitating the precise detection and simulation of convective clouds. This unprecedented approach bolsters forecast accuracy for extreme events like heavy rainfall and cyclones.
The amalgamation of AI and ML paints a promising trajectory for the future of weather forecasting in India. These advanced technologies are poised to elevate forecast accuracy, localization, and sector-specific tailoring, fortifying India’s resilience against weather-related adversities.
GYIK (Gyakran Ismételt Kérdések)
The source of the article is from the blog kewauneecomet.com