NAIROBI, Kenya, Jan 31 – Kenyans should brace for predominantly sunny and dry weather over the coming week, with isolated rainfall expected in a few parts of the country, according to the Kenya Meteorological Department (KMD).
In its weekly weather forecast covering January 27 to February 2, 2026, the Met Department said most regions will experience dry conditions, although occasional showers are likely in the Highlands east and west of the Rift Valley, the Rift Valley itself, the Lake Victoria Basin, the Coastal region and parts of the south-eastern lowlands.
“Predominantly sunny and dry conditions are expected over much of the country, with isolated rainfall in a few areas,” the department said in the advisory issued by the State Department for Environment and Climate Change.
The forecast shows that daytime temperatures are expected to remain high across several regions. Average maximum temperatures above 30 degrees Celsius are anticipated in the Coastal region, North-eastern and North-western Kenya, as well as parts of the south-eastern lowlands, the Lake Victoria Basin, the Rift Valley and the Highlands west of the Rift Valley.
At night, cooler conditions are expected in some areas, with minimum temperatures dropping below 10 degrees Celsius in parts of the Highlands east and west of the Rift Valley, the Rift Valley region and areas surrounding Mt. Kilimanjaro.
The weather outlook follows a relatively dry review period between January 19 and 25, during which limited rainfall was recorded across the country. The highest seven-day rainfall total during that period was 1.5 millimetres, recorded at Mpala in Laikipia County.
According to the department, Lodwar Meteorological Station recorded the highest daytime temperatures during the review period, underscoring the persistent heat in arid and semi-arid areas.
The Kenya Meteorological Department has advised residents, particularly in hot regions, to take precautions against heat-related illnesses, while farmers in areas expected to receive isolated rainfall are urged to monitor local forecasts closely.
