What has the IMD announced ahead of this year’s monsoon?, Pg8

Key Highlights:

• The India Meteorological Department (IMD) introduced a new forecast system providing block-level monsoon arrival forecasts for the first time, covering 3,196 blocks across 15 States and 1 Union Territory.
• The new system blends outputs from two forecasting models, utilizing AI-based analysis and nearly a century of meteorological data to project the monsoon's progress at a finer scale.
• The 15 States covered are part of the monsoon core zone, highly dependent on rain and sensitive to southwest monsoon dynamics.
• A separate 10-day monsoon forecast model was launched for Uttar Pradesh at a 1 km resolution, leveraging the state's extensive network of automatic weather stations.

Detailed Insights:

• The conventional district-scale forecasts obscure the patchiness of the Indian monsoon, where some blocks within a district may remain dry even after the official arrival.
• Hyper-local forecasts aim to help farmers time their sowing by providing more accurate information about monsoon arrival in their specific block.
• The blending framework was developed by the Indian Institute of Tropical Meteorology, issuing probabilistic forecasts for the next four weeks.
• Extending block-level forecasts across all of India requires a denser network of observational data than is currently available in many States.
• The IMD and global models anticipate "below normal" rainfall from July onwards due to a developing El Niño, which may make accurate block-level forecasting more challenging.
• The agriculture ministry is pushing for agriculturally actionable forecasts, while the IMD is increasingly combining traditional models with AI and State-level observational networks.

Key Concepts Involved:

• Monsoon Core Zone: Regions highly dependent on rain and sensitive to southwest monsoon dynamics.
• El Niño: A climate pattern in the Pacific Ocean that can lead to weaker monsoon rains in India.
• Probabilistic Forecasts: Weather forecasts that express the likelihood of different outcomes.