IMD warns of heavy to extremely heavy rain in South India, including Tamil Nadu, till October 24
The India Meteorological Department (IMD) has issued a fresh warning for intense rainfall activity over parts of South Peninsular India, including Tamil Nadu, Andhra Pradesh and Puducherry, between October 22 and 24, 2025.
According to the IMD, heavy to very heavy rainfall (7–20 cm) is expected to lash several regions in the coming days, with extremely heavy rainfall (≥ 21 cm) forecast for specific areas on October 22, including:
- North Tamil Nadu
- Puducherry and Karaikal
- Rayalaseema
- Coastal Andhra Pradesh and Yanam
Isolated heavy rain expected across Kerala
Light to moderate rainfall or thundershowers are likely in Kerala over the next five days. According to the India Meteorological Department (IMD), isolated extremely heavy rainfall is possible today (October 22), and isolated heavy rainfall is likely from October 22 to 24.
What’s causing the heavy rain?
The ongoing rain activity is likely linked to increased moisture incursion from the Bay of Bengal, possibly triggered by a low-pressure system or trough in the region. While no cyclone alert has been issued as of now, meteorological conditions remain under close observation.
These conditions are typical during the northeast monsoon season, which usually begins around mid to late October and is crucial for states like Tamil Nadu and coastal Andhra Pradesh. This period brings a major portion of annual rainfall to these areas — but also increases the risk of urban flooding, traffic disruption and landslides in vulnerable zones.
Advisory for residents:
- Authorities urge residents in the affected regions to
- Avoid waterlogged and low-lying areas
- Stay updated through official IMD bulletins and local administration
- Limit non-essential travel during heavy rainfall hours
- Ensure drainage systems around homes remain unclogged
Disaster response teams have reportedly been kept on standby in areas prone to flash floods and waterlogging.
The IMD is continuously monitoring the situation and will update forecasts based on real-time data.