By Marline Atieno
The Kenya Meteorological Department has released a comprehensive seven-day weather forecast, offering vital information to residents, farmers and businesses across the country.
This forecast, which spans from May 28 to June 3, 2024, provides detailed insights into expected weather patterns including rainfall, temperature variations and potential extreme weather events.
According to the forecast, several regions are expected to experience varying weather conditions.
Coastal areas will experience warm and humid conditions with occasional showers, while the Northeastern and Southeastern regions are predicted to have dry and sunny weather.
Rainfall is expected over a few areas in the Highlands East and West of the Rift Valley, the Lake Victoria Basin and the Rift Valley.
Strong southerly to south-easterly winds with speeds exceeding 25 knots (12.9 m/s) are expected over some parts of the Coast and North-eastern Kenya.
High average daytime (maximum) temperatures of more than 300c will be experienced in some parts of the Coast, North-eastern and North-western Kenya.
Average night-time (minimum) temperatures will be low (less than 100c) over some parts of the Highlands East of the Rift Valley.
Rainfall was recorded in the Highlands East and West of the Rift Valley, the Lake Victoria Basin, the Rift Valley and the Coast.
Day-time (maximum) temperatures decreased over most parts of the country with only Marsabit, Moyale and Mandera recording slight warming.
Night-time (minimum) temperatures increased over some stations including Eldoret, Nyahururu and Laikipia and decreased over Coastal stations.
In a statement accompanying the forecast, the Meteorological Department emphasized the importance of utilizing this information for effective planning and preparedness.
Farmers in particular, are urged to pay close attention to the forecast to optimize their agricultural activities.
Businesses and economic activities also stand to benefit from the forecast.
The transport and tourism sectors, which are highly sensitive to weather changes can plan their operations more effectively.