Spatially Continuous Dataset at Local Scale of Taita Hills in Kenya and Mount Kilimanjaro in Tanzania

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dc.contributor.authorMwalusepo, Sizah
dc.contributor.authorMassawe, Estomih S.
dc.contributor.authorJohansson, Tino
dc.date.accessioned2016-09-21T13:19:32Z
dc.date.available2016-09-21T13:19:32Z
dc.date.issued2016
dc.descriptionFull text can be accessed at http://www.sciencedirect.com/science/article/pii/S2352340916304772en_US
dc.description.abstractClimate 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.en_US
dc.identifier.citationMwalusepo, S., Massawe, E.S. and Johansson, T., 2016. Spatially continuous dataset at local scale of Taita Hills in Kenya and Mount Kilimanjaro in Tanzania. Data in Brief.en_US
dc.identifier.doi10.1016/j.dib.2016.07.041
dc.identifier.urihttp://hdl.handle.net/20.500.11810/3918
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.subjectSpatial climate dataen_US
dc.subjectClimate changeen_US
dc.subjectModelingen_US
dc.subjectLocal scaleen_US
dc.titleSpatially Continuous Dataset at Local Scale of Taita Hills in Kenya and Mount Kilimanjaro in Tanzaniaen_US
dc.typeJournal Article, Peer Revieweden_US
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