Spatio-Temporal Variability of Simulated 2 m Air Temperature for Nairobi City, Kenya — Oak Academic Publishing
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Spatio-Temporal Variability of Simulated 2 m Air Temperature for Nairobi City, Kenya
Department of Landscape and Environmental Sciences, College of Agriculture and Natural Resources, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya
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Institute of Meteorology, Freie Universit?t, Berlin, Germany
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Department of Landscape and Environmental Sciences, College of Agriculture and Natural Resources, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya
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Department of Landscape and Environmental Sciences, College of Agriculture and Natural Resources, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya
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Department of Horticulture and Food Security, College of Agriculture and Natural Resources, Jomo Kenyatta University of Agri-culture and Technology, Nairobi, Kenya
1 Department of Landscape and Environmental Sciences, College of Agriculture and Natural Resources, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya
2 Institute of Meteorology, Freie Universit?t, Berlin, Germany
3 Department of Landscape and Environmental Sciences, College of Agriculture and Natural Resources, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya
4 Department of Landscape and Environmental Sciences, College of Agriculture and Natural Resources, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya
5 Department of Horticulture and Food Security, College of Agriculture and Natural Resources, Jomo Kenyatta University of Agri-culture and Technology, Nairobi, Kenya
Nairobi city in Kenya is an example of the many cities in Africa experiencing rapid growth and too many environmental impacts, including the urban heat islands (UHI) phenomenon. UHI develops and escalates under outrageous hot periods, such as during heatwave, which can affect outdoor microclimate, human thermal comfort, and health and also increase the energy demand for cooling. This study used the MUKLIMO_3 model to reveal the spatial hete rogeneity and temporal variability of 2 m air temperature fields and thermally sensitive areas within Nairobi city. The model reproduced the potential summer day conditions through idealized simulations of temperature, wind, and relative humidity based on the urban topography and local climate zones (LCZs) data at a spatial resolution of 200 m. The aim was to expand knowledge of urban climate change based on the accompanying extensive modification of land use and land cover that are critical for the local-scale atmospheric circulation. The model results revealed intricate spatiotemporal patterns of 2 m air temperature fields, which accrued from terrain-induced flows and land surface heterogeneity as described by the LCZ parameters. The variation in canopy layer UHI was a joined impact of the unfavorable location of the town and urbanization process, which added to the formation of excessive urban heat load. The study concluded that the enhancement of urban heat load in Nairobi city could be linked to the concept of rapid urbanization process and its historical development. Therefore urban planning strategies such as optimization of mixed building heights and the introduction of green & blue infrastructure were critical to mitigating heat-stress across Nairobi city.
Keywords2 m Air TemperatureMUKLIMO_3 ModelCanopy Layer Urban Heat Is-landLand Use TableUrban TopographyUrban Parameters
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