Strong monsoon winds may bring heavy rain to parts of Myanmar (May 27 – June 2)

Strong monsoon winds may bring heavy rain to parts of Myanmar (May 27 – June 2)
Published 28 May 2025

The Department of Meteorology and Hydrology has issued a warning that heavy rainfall is likely in several regions of Myanmar between May 27 and June 2. This weather system is being driven by strong southwest monsoon winds, increased atmospheric instability over the Bay of Bengal and Andaman Sea, and intensified cloud development.

During this period, moderate to heavy rain may occur in parts of Nay Pyi Taw, Yangon Region, Mandalay Region, Bago Region, Magway Region, lower Sagaing Region, Ayeyarwady Region, and Tanintharyi Region. States including Kachin, Kayah, Kayin, Chin, Mon, Rakhine, and Shan may also experience scattered to widespread rainfall.

The public is advised to be aware of potential natural hazards caused by the intense weather. These include strong winds, thunderstorms, lightning, hail, flash flooding, and landslides. People living near hillsides or in low-lying areas close to streams and rivers are especially urged to take precautions. Inland transportation services and aviation operators should also prepare for possible disruptions.

According to meteorological forecasts, a low-pressure system may form over the Andaman Sea and the Bay of Bengal during this week. It could intensify into a depression or minor cyclone. The southwest monsoon is expected to become stronger, and dense cloud cover is likely over the northern Bay of Bengal.

Rain is expected to fall for about seven to nine days in regions such as Yangon, Bago, Ayeyarwady, Tanintharyi, Kayah, Kayin, Mon, and northern and eastern Shan State. In Nay Pyi Taw, Mandalay, Magway, upper Sagaing, Kachin, Chin, Rakhine, and southern Shan State, rain may occur over a period of four to six days.

Eastern Shan State could see slightly lower temperatures, about 1.5°C (or 35°F) below the seasonal average. Most other regions are expected to maintain average May temperatures throughout the forecast period.