Spatially continuous dataset at local scale of Taita Hills in Kenya and Mount Kilimanjaro in Tanzania

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http://hdl.handle.net/10138/208106

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Mwalusepo , S , Massawe , E & Johansson , T P 2016 , ' Spatially continuous dataset at local scale of Taita Hills in Kenya and Mount Kilimanjaro in Tanzania ' Data in Brief , vol. 8 , pp. 1115-1119 . DOI: 10.1016/j.dib.2016.07.041

Title: Spatially continuous dataset at local scale of Taita Hills in Kenya and Mount Kilimanjaro in Tanzania
Author: Mwalusepo, Sizah; Massawe, Estomih; Johansson, Tino Petri
Contributor: University of Helsinki, Department of Geosciences and Geography
Date: 2016-09
Language: eng
Number of pages: 5
Belongs to series: Data in Brief
ISSN: 2352-3409
URI: http://hdl.handle.net/10138/208106
Abstract: Climate change is a global concern, requiring local scale spatially continuous dataset and modeling of meteorological variables. This dataset article provided the interpolated temperature, rainfall and relative humidity dataset at local scale along Taita Hills and Mount Kilimanjaro altitudinal gradients in Kenya and Tanzania, respectively. The temperature and relative humidity were recorded hourly using automatic onset THHOBO data loggers and rainfall was recorded daily using GENERALR wireless rain gauges. Thin plate spline (TPS) was used to interpolate, with the degree of data smoothing determined by minimizing the generalized cross validation. The dataset provide information on the status of the current climatic conditions along the two mountainous altitudinal gradients in Kenya and Tanzania. The dataset will, thus, enhance future research.
Subject: 1171 Geosciences
1172 Environmental sciences
1184 Genetics, developmental biology, physiology
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