The deadly cyclonic storm killed at least 145 people in the country and displaced hundreds of thousands when it made landfall in May 2023. “I saw the sea levels rise and water flooded everything ...

YANGON – The death toll from Cyclone Mocha has reached 145 in Myanmar, the junta said on Friday, with most of the dead from the persecuted Rohingya minority.

Myanmar's junta chief made a rare request Saturday for foreign aid to cope with deadly floods that have displaced hundreds of thousands of people who have already endured three years of war.

Myanmar’s military chief says foreign aid needed after deadly floods More than 235,000 people have been forced from their homes after floods and landslides caused by Typhoon Yagi.

A powerful cyclone has hit the coastlines of Bangladesh and Myanmar after intensifying into the equivalent of a category-five storm. Cyclone Mocha did not make landfall at the sprawling refugee ...

Cyclone Mocha rapidly intensified in the northern Indian Ocean during the middle of May. Mocha’s maximum winds of 277 km/h made the storm one of the strongest on record in this part of the world. The ...

Extremely powerful tropical Cyclone Freddy ravaged the southern Indian Ocean for more than five weeks in February and March 2023. It was particularly strong, devastating, and long-lived.

BANGKOK (AP) — A court in Myanmar sentenced a photojournalist for an underground news agency to 20 years in prison with hard labor for his coverage of a deadly May cyclone’s aftermath, the ...

In northern Rakhine state, the NUG has given survivors of Cyclone Mocha financial assistance. It gave each 1,000 households 20,000 Myanmar kyat ($9.53) each so they could buy tarpaulin.

Pope Francis on May 28 appealed for humanitarian organizations to be given access to areas hit by a deadly cyclone which tore through parts of Myanmar and Bangladesh two weeks ago. "I appeal to those ...

The Bay of Bengal faces the most deadly tropical cyclones on our planet, and experience from this region can help improve our ability to accurately and efficiently predict extreme weather events ...