Journal
HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES
Volume 60, Issue 11, Pages 1911-1926Publisher
TAYLOR & FRANCIS LTD
DOI: 10.1080/02626667.2014.992789
Keywords
daily raingauge data; satellite rainfall estimates; regression-based interpolation; hydrological modelling; Tanzania
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Funding
- Danish Developing Agency (DANIDA) [09-066GEUS]
- Villum Fonden [00007367] Funding Source: researchfish
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In order to cope with a severe reduction of the raingauge network in the Great Ruaha River basin over the past 30years, 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 raingauge 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 raingauge network compares very poorly to the pattern originating from the much denser historic network. In contrast, the rainfall datasets that include patterns from satellite data show good correlation with the historic pattern. The evaluation based on hydrological modelling showed similar and good performance for all rainfall products, including raingauge records, whereas the purely satellite-based product performed poorly.
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