Interpolation of Daily Rain Gauge Data for Hydrological Modeling in Data Sparse Regions Using Pattern Information from Satellite Data

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dc.contributor.authorStisen, Simon
dc.contributor.authorTumbo, Madaka
dc.date.accessioned2016-05-26T08:56:38Z
dc.date.available2016-05-26T08:56:38Z
dc.date.issued2015
dc.description.abstractIn order to cope with a severe reduction of the rain gauge network in the Great Ruaha River Basin over the past 30 years, an interpolation scheme using spatial patterns from satellite images as covariate has been evaluated. The regression based interpolation attempts to combine the advantages of accurate rainfall amounts from rain gauge records with the unique spatial pattern information obtained from satellite based rainfall estimates. A spatial pattern analysis reveals that the simple interpolation of the sparse current rain gauge network compares very poorly to the pattern originating from the much denser historic network. In contrast, the rainfall data sets that include patterns from satellite data show good correlation with the historic pattern. The evaluation based on hydrological modeling, showed similar and good performance for all rainfall products including rain gauge records, whereas the purely satellite based product performed poorly.en_US
dc.identifier.citationStisen, S. and Tumbo, M., 2015. Interpolation of daily raingauge data for hydrological modelling in data sparse regions using pattern information from satellite data. Hydrological Sciences Journal, 60(11), pp.1911-1926.en_US
dc.identifier.doi10.1080/02626667.2014.992789
dc.identifier.urihttp://hdl.handle.net/20.500.11810/2256
dc.language.isoenen_US
dc.subjectDaily raingauge dataen_US
dc.subjectSatellite rainfall estimatesen_US
dc.subjectRegression-based interpolationen_US
dc.subjectHydrological modellingen_US
dc.subjectTanzaniaen_US
dc.titleInterpolation of Daily Rain Gauge Data for Hydrological Modeling in Data Sparse Regions Using Pattern Information from Satellite Dataen_US
dc.typeJournal Article, Peer Revieweden_US
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