Browsing by Author "Stisen, Simon"

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    Climate, Water and Adaptation: Climate Related Projections on Future Water Resources and Human Adaptation in the Great Ruaha River Basin in Tanzania
    (2015) Thomsen, Torben B.; Liwenga, Emma; Pauline, Noah; Tumbo, Madaka; Osima, Sarah; Mpeta, Emmanual; Norbert, Joel; Stendel, Martin; Stisen, Simon; Villholth, Karen; D’haen, Sarah
    Main findings: - Temperatures will likely increase by 1-2 degrees by the middle of the century and 3-4 degrees by the end of the century. - A likely overall increase in precipitation and larger seasonal variation might lead to water related stress during a prolonged dry season and flood risks during the wet season. - The overall climate related effect on water resources is a status quo. - Increased rainy season rainfall offers opportunities for rain fed agriculture and water storage for hydro-power and irrigation. - Local governments are already effectively dealing with these climate related impacts. Assigning more responsibilities and capacities to LG can unlock great potential for adequately delivering locally diversified climate change adaptation.
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    Interpolation of Daily Rain Gauge Data for Hydrological Modeling in Data Sparse Regions Using Pattern Information from Satellite Data
    (2015) Stisen, Simon; Tumbo, Madaka
    In 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.