IMD Forecasts Above-Normal Cold Wave Events, Temperature Deviations, and Rainfall Trends for January 2025
The India Meteorological Department (IMD) has released its outlook for January 2025, highlighting significant weather patterns across the country. The forecast includes details on cold waves, temperature deviations, and rainfall probabilities for the month and the upcoming season.
Above-Normal Cold Wave Events in Central India
IMD’s projections indicate that western and northern parts of central India are likely to experience above-normal cold wave days during January 2025. This could lead to colder-than-usual conditions in these regions, making it crucial for residents to prepare for potential temperature drops.
Temperature Forecast: Minimum and Maximum Trends
- Minimum Temperature: Monthly minimum temperatures are expected to be above-normal across most of India. However, exceptions include parts of east northwest, north central, and east India, where normal to below-normal minimum temperatures are likely.
- Maximum Temperature: Maximum temperatures are predicted to remain above-normal in most areas. Parts of the northwest, central, and adjoining east India, along with central South Peninsula, may experience normal to below-normal maximum temperatures.
Rainfall Predictions for January 2025 and Beyond
- January 2025 Rainfall: Above-normal rainfall is anticipated in most regions. However, some parts of northwest, northeast, and central India might see normal to below-normal rainfall.
- January to March 2025 Rainfall: Seasonal rainfall is expected to be normal to above-normal across much of India. However, below-normal rainfall may occur in northwest India, parts of the east, and many parts of the northeast. Regions typically receiving minimal rainfall during this period will align with climatological probabilities.
These forecasts serve as a critical resource for agricultural planning, disaster management, and individual preparedness. The IMD’s probabilistic maps and analysis provide detailed insights into potential weather scenarios, helping stakeholders make informed decisions.
