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

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

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 gradi...

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Main Authors: Sizah Mwalusepo, Estomih S. Massawe, Tino Johansson
Format: Article
Language:English
Published: Elsevier 2016-09-01
Series:Data in Brief
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340916304772
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spelling doaj-2ddf171e0167471fa70c27795f76a02d2020-11-25T01:32:42ZengElsevierData in Brief2352-34092016-09-01811151119Spatially continuous dataset at local scale of Taita Hills in Kenya and Mount Kilimanjaro in TanzaniaSizah Mwalusepo0Estomih S. Massawe1Tino Johansson2icipe—African Insect Science for Food and Health, P.O. Box 30772-00100, Nairobi, Kenya; Department of General Studies, Dar es Salaam Institute of Technology, P.O. Box 2958, Dar es Salaam, Tanzania; Corresponding author at: icipe—African Insect Science for Food and Health, P.O. Box 30772-00100, Nairobi, Kenya.Department of M athematics, University of Dar es Salaam, P.O. Box 35062, Dar es Salaam, Tanzaniaicipe—African Insect Science for Food and Health, P.O. Box 30772-00100, Nairobi, Kenya; Department of Geosciences and Geography, University of Helsinki, P.O. Box 68, FI-00014, FinlandClimate 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. Keywords: Spatial climate data, Climate change, Modeling, Local scalehttp://www.sciencedirect.com/science/article/pii/S2352340916304772
collection DOAJ
language English
format Article
sources DOAJ
author Sizah Mwalusepo
Estomih S. Massawe
Tino Johansson
spellingShingle Sizah Mwalusepo
Estomih S. Massawe
Tino Johansson
Spatially continuous dataset at local scale of Taita Hills in Kenya and Mount Kilimanjaro in Tanzania
Data in Brief
author_facet Sizah Mwalusepo
Estomih S. Massawe
Tino Johansson
author_sort Sizah Mwalusepo
title Spatially continuous dataset at local scale of Taita Hills in Kenya and Mount Kilimanjaro in Tanzania
title_short Spatially continuous dataset at local scale of Taita Hills in Kenya and Mount Kilimanjaro in Tanzania
title_full Spatially continuous dataset at local scale of Taita Hills in Kenya and Mount Kilimanjaro in Tanzania
title_fullStr Spatially continuous dataset at local scale of Taita Hills in Kenya and Mount Kilimanjaro in Tanzania
title_full_unstemmed Spatially continuous dataset at local scale of Taita Hills in Kenya and Mount Kilimanjaro in Tanzania
title_sort spatially continuous dataset at local scale of taita hills in kenya and mount kilimanjaro in tanzania
publisher Elsevier
series Data in Brief
issn 2352-3409
publishDate 2016-09-01
description 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. Keywords: Spatial climate data, Climate change, Modeling, Local scale
url http://www.sciencedirect.com/science/article/pii/S2352340916304772
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AT estomihsmassawe spatiallycontinuousdatasetatlocalscaleoftaitahillsinkenyaandmountkilimanjarointanzania
AT tinojohansson spatiallycontinuousdatasetatlocalscaleoftaitahillsinkenyaandmountkilimanjarointanzania
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