Mmbando, Godfrey A. and Kleyer, Michael (2018) Mapping precipitation, temperature, and evapotranspiration in the Mkomazi River Basin, Tanzania. Climate, 6 (3). p. 63. ISSN 2225-1154

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Official URL: http://dx.doi.org/10.3390/cli6030063

Abstract

It is still a challenge to provide spatially explicit predictions of climate parameters in African regions of complex relief, where meteorological information is scarce. Here we predict rainfall, temperature, and reference evapotranspiration (ETo) for the southern Mkomazi River Basin in Northeastern Tanzania, East Africa, by means of regression-based, digital elevation models (DEM) at 90 m spatial-resolution and geographic information systems (GIS) techniques. We mapped rainfall for the period 1964–2010. The models accounted for orographic factors which strongly influenced the spatial variability of rainfall in the region. According to orography, the area was divided into three zones for modelling rainfall: windward, leeward, and transition zone. Rainfall indicates high spatial and temporal variability dominated by equatorial East-African climate circulation systems. Maximum and minimum temperatures were modelled for the period 1989–1994, the models accounted only for the altitude gradient. Mean temperature was calculated by arithmetic mean of maximum and minimum temperatures maps in ArcGIS. ETo was estimated in ArcGIS following the method described by Hargreaves and Samani. The maps were made on a monthly basis for rainfall, ETo, and mean, maximum, and minimum temperatures. The obtained maps are useful for the purpose of agriculture, ecological, and water resources management.

Item Type: Article
Additional Information: Publiziert mit Hilfe des DFG-geförderten Open Access-Publikationsfonds der Carl von Ossietzky Universität Oldenburg.
Uncontrolled Keywords: linear regression; mapping; rainfall; temperature; reference evapotranspiration (ETo); digital elevation models (DEMs); geographic information systems (GIS); East Africa
Subjects: Science and mathematics > Earth sciences and geology
Science and mathematics > Life sciences, biology
Divisions: Faculty of Mathematics and Science > Department of Biology and Environmental Sciences (IBU)
Date Deposited: 12 Sep 2019 11:35
Last Modified: 13 Sep 2019 08:53
URI: https://oops.uni-oldenburg.de/id/eprint/4166
URN: urn:nbn:de:gbv:715-oops-42477
DOI: doi:10.3390/cli6030063
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