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Predictability of daily precipitation using data from newly established automated weather stations over Notwane catchment (SASSCAL Book, Biodiversity & Ecology 6)

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Title
Title Predictability of daily precipitation using data from newly established automated weather stations over Notwane catchment (SASSCAL Book, Biodiversity & Ecology 6) ?
Author Ditiro B. Moalafhi, Piet Kenabatho, Bhagabat P. Parida, and Botlhe Matlhodi ?
Abstract Already semi-arid, due to the effects of climate change, Botswana has been experiencing unreliable water supplies over the past several years. However, the limited climate information over different catchments makes engaging in an informed decision-making process difficult. The Notwane catchment at Gaborone dam, located in the headstreams of the Notwane River in eastern Botswana, is a major water supply for the country. However, due to the sparse network of hydrometeorological measurement stations, no reliable predictions can be made and, thus, creating a reliable runoff estimation for the reservoir has been difficult. Through SASSCAL, an experimental set of automated weather stations has been set up in the Notwane catchment. Preliminary analysis using artificial neural networks (ANNs) to examine the predictive capacity of the monitored variables (from July 15, 2016, through June 25, 2017: 346 days) on precipitation at four individual stations reveals that the gathered hydro-meteorological data may be useful given an increase in record length coupled with consideration of different modeling approaches to validate inherent relationships with precipitation. Study also revealed that simulated precipitation for the area exhibits similar mean and variability to the observations despite poor simulations for extreme precipitation events. These results give insight into prospects for improved hydrologic and water resource modeling over the catchment. ?
Citation Moalafhi, D.B., Kenabatho, P.K., Parida, B.P. & Matlhodi, B. (2018) Predictability of daily precipitation using data from newly established automated weather stations over Notwane catchment in Botswana In: Climate change and adaptive land management in southern Africa – assessments, changes, challenges, and solutions (ed. by Revermann, R., Krewenka, K.M., Schmiedel, U., Olwoch, J.M., Helmschrot, J. & Jürgens, N.), pp. 46-51, Biodiversity & Ecology, 6, Klaus Hess Publishers, Göttingen & Windhoek. doi:10.7809/b-e.00304 ?
Dataset
Document Reference Date Type publication ?
Date 2018-04-24 ?
Language English ?
Online Linkage http://www.biodiversity-plants.de/biodivers_ecol/article_meta.php?DOI=10.7809/b-e.00304&art_volume=6&lang=en ?
Associated project SASSCAL (Phase 1) ?
Subproject 337 Towards improved spatial data for hydrological modelling and implications for water resources management: The case of notwane catchment in Botswana ?
Dataset Classification
Type PDF ?
Category publication ?
Metadata
Metadata Contact Person Kenabatho, Piet, Dr ?
Metadata Date Stamp 2018-07-23 ?
Identifier
Internal identifier sdp_doc_documents_6451 (Link)