A cold wave is expected to persist across large parts of North India, with temperatures predicted to drop further on Sunday morning, according to weather projections by Devendra Tripathi, founder of Mausam Tak and a prominent weather expert for Kisan Tak.
No major synoptic changes are anticipated on January 11, meaning biting cold conditions will continue to grip several states, keeping minimum temperatures well below normal in many areas. Cold wave and cold day conditions are likely in pockets of Punjab, Rajasthan, and Uttar Pradesh, especially during the early morning hours.
States including Punjab, Haryana, Rajasthan, Delhi, Uttar Pradesh, Bihar, Jharkhand, Chhattisgarh, Odisha, and Madhya Pradesh are expected to record below-normal minimum temperatures at multiple locations. Cities such as Ranchi, Patna, Varanasi, Lucknow, Kanpur, Rewa, Jaipur, Ajmer, Jaisalmer, and Bikaner are likely to remain colder than usual. Similar chilly conditions will persist across Punjab and Haryana, while Delhi is expected to experience a cold morning as well.
Fog is expected to be limited, with dense fog likely only in isolated areas of Punjab and northeastern Rajasthan, including Bharatpur, Kota, Sawai Madhopur, and Alwar. Parts of Madhya Pradesh, such as Gwalior and Guna, may also experience fog patches. In contrast, Uttar Pradesh and Bihar are likely to see significant relief from fog, and any fog that forms is expected to be short-lived.
In southern India, cloud cover may extend to Rayalaseema in Andhra Pradesh, north interior Karnataka, and parts of southern Maharashtra, including Pune, Sangli, Satara, Kolhapur, Solapur, Sindhudurg, Ratnagiri, Raigad, and Goa. Isolated, patchy rainfall cannot be ruled out over southern coastal Maharashtra, south-central Maharashtra, and north interior Karnataka. Light cloud cover may also affect parts of Telangana, Odisha, north coastal Andhra Pradesh, and Chhattisgarh.
Overall, North India should brace for another cold morning on Sunday, while southern states prepare for cloudy skies and scattered rainfall.
