India Rainfall Analysis: Shortfall and Post-Monsoon Increase

On: Tuesday, December 9, 2025 4:39 PM
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India’s Rainfall: A Detailed Analysis

The Indian Meteorological Department (IMD) has released a new report examining rainfall patterns across India. This analysis focuses on the period from October 1st to December 3rd, 2025, covering both the Post-Monsoon Season and the overall long-term averages. It’s important to understand how much rain we’re getting and if it’s normal.

Key Points

Overall Rainfall: India saw a 21% shortfall in rainfall during the week ending December 3rd. Post-Monsoon Season: The Post-Monsoon Season showed a +23% increase in rainfall. National Trend: The entire country experienced below-average rainfall in the last week. Seasonal Update: The Post-Monsoon season was significantly wetter than usual. Significant Difference: These numbers paint a complex picture of rainfall distribution. Strategic Implications: This information is key for planning and resource allocation.

Understanding the Numbers

The key finding is a discrepancy between the recent weekly rainfall data and the seasonal rainfall data. The IMD reported a negative departure of -21% for the week ending December 3rd. This means that India received 21% less rain than it typically does during that specific week, based on historical averages.

Post-Monsoon Season Perspective

However, the analysis also highlighted a positive trend for the entire Post-Monsoon Season, which spans from October 1st to December 3rd. Rainfall during this season was 23% higher than the long-term average. This suggests that despite the weaker recent week, the season as a whole was characterized by above-average precipitation.

Why This Matters

These figures are important for various reasons. They inform decisions related to agriculture, water resource management, disaster preparedness, and infrastructure planning. The IMD’s analysis provides a critical foundation for understanding current weather conditions and predicting future rainfall patterns.

Effective resource management hinges on accurate and timely rainfall data assessment.