Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Validation of TRMM Data in the Black Volta Basin of Ghana
This study was conducted in the Black Volta basin, Ghana, to determine how Tropical Rainfall Measuring Mission (TRMM) satellite-derived rainfall compares with ground-measured values and the possibility of using it to complement ground-measured rainfall. Bilinear interpolation was used to resample TRMM 3B42V6 monthly rainfall grids to determine site-specific rainfall of the basin based on rain gauge locations and analyzed statistically. The study showed that the correlation between the monthly datasets ranged from 0.73 to 0.88. A plot of the average monthly data of all the stations gave a correlation coefficient () of 0.94. The overall catchment rainfall was well represented by TRMM data. However, the annual station rainfalls were either underestimated or overestimated. The underestimations and overestimations were mostly below 20% and 10%, respectively, of the raingauge measurements. Although the TRMM rainfall data did not perfectly match with the ground measurements, it can still be used to supplement ground measurements and for estimating rainfalls in ungauged basins.
Validation of TRMM Data in the Black Volta Basin of Ghana
This study was conducted in the Black Volta basin, Ghana, to determine how Tropical Rainfall Measuring Mission (TRMM) satellite-derived rainfall compares with ground-measured values and the possibility of using it to complement ground-measured rainfall. Bilinear interpolation was used to resample TRMM 3B42V6 monthly rainfall grids to determine site-specific rainfall of the basin based on rain gauge locations and analyzed statistically. The study showed that the correlation between the monthly datasets ranged from 0.73 to 0.88. A plot of the average monthly data of all the stations gave a correlation coefficient () of 0.94. The overall catchment rainfall was well represented by TRMM data. However, the annual station rainfalls were either underestimated or overestimated. The underestimations and overestimations were mostly below 20% and 10%, respectively, of the raingauge measurements. Although the TRMM rainfall data did not perfectly match with the ground measurements, it can still be used to supplement ground measurements and for estimating rainfalls in ungauged basins.
Validation of TRMM Data in the Black Volta Basin of Ghana
Adjei, Kwaku Amaning (Autor:in) / Ren, Liliang (Autor:in) / Appiah-Adjei, Emmanual Kwame (Autor:in) / Kankam-Yeboah, Kwabena (Autor:in) / Agyapong, Albert Anning (Autor:in)
Journal of Hydrologic Engineering ; 17 ; 647-654
06.08.2011
82012-01-01 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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