Cyclone Arnab
Status: Closed
| Type of posting | Posting date(EST): | Summary | Downloads |
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| Similar Stochastic Events | 10/28/2026 11:00:00 AM |
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Similar Stochastic Events | Summary
Posting Date: October 28, 2026, 11:00:00 AM
Cyclone Arnab made landfall on the morning of October 28, 2026, crossing the Andhra Pradesh and Yanam coast between 2 am and 8 am after weakening from a very severe to a severe cyclonic storm. IMD put the crossing point about 20 km east-northeast of Narsapur and 60 km southwest of Kakinada. Peak winds reached 135 km/h, with gusts up to 150 km/h. Andhra Pradesh took the brunt of the storm, while preliminary reports showed no serious impact in Odisha. Around 57,000 people were moved to relief camps in Andhra Pradesh before and during the storm, and 39 NDRF teams were deployed across Andhra Pradesh, Odisha and neighboring regions. The storm has since weakened and is expected to dissipate into a deep depression.
ALERT™ subscribers can now download similar stochastic events (SSEs) for impacts from Cyclone Arnab from the Downloads tab for this posting on the ALERT Website. They should only be used with exposures in India. The information provided herein is strictly confidential and is solely for the use of Verisk clients; disclosure to others is prohibited unless noted in your Verisk software license.
Early building damage figures are small but preliminary. The NDRF reported 31 houses of various types damaged and three deaths in Andhra Pradesh, with 764 villages affected as of Wednesday morning. Damage was concentrated along the coast of Kakinada and Dr. B.R. Ambedkar Konaseema districts. A protective wall at Kothapatnam near Uppada was severely damaged by waves, and the storm also caused widespread damage in the Yanam region. Chief Minister Naidu’s letter to the Centre highlighted damage to crops, houses, roads and electricity poles and asked for assessment teams to be sent urgently. The 31-house count will almost certainly rise, since assessments in the worst-hit coastal districts have barely begun. IMD had warned beforehand that strong winds may damage kutcha (non-engineered) structures, which are typically the most vulnerable. Most of the other reported damage was to trees and power infrastructure rather than buildings.
Similar Stochastic Events | Downloads
Posting Date: October 28, 2026, 11:00:00 AM
The information provided herein is strictly confidential and is solely for the use of Verisk clients; disclosure to others is prohibited.
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