Rainfall estimation from satellite observations has uncertainties and inconsistency at different locations and so four different satellite products were selected for validation in Saudi Arabia. The satellite products selected for this study are TRMM, PERSIANN, CMORPH, and GSMap-MVK which are compared with gauge observed rainfall data using conventional statistical methods at daily, 10-daily, and monthly time scale. The validation results show that all the products can predict rainfall in the study area reasonably well but overestimates rainfall in the regions. However, this bias is comparatively less in the semi-arid part of the country where most of the rain falls. Therefore, all the four satellite products were used in SWAT model to study the hydrologic response in a semi-arid watershed located in the western part of the country. Results show that simulation from TRMM rainfall estimates agrees better with that of gauge observations at daily time scale.
|School:||California State University, Long Beach|
|School Location:||United States -- California|
|Source:||MAI 52/05M(E), Masters Abstracts International|
|Subjects:||Engineering, Civil engineering|
|Keywords:||ArcSWAT, CMORPH, PERSIANN, Remote sensing|
Copyright in each Dissertation and Thesis is retained by the author. All Rights Reserved
The supplemental file or files you are about to download were provided to ProQuest by the author as part of a
dissertation or thesis. The supplemental files are provided "AS IS" without warranty. ProQuest is not responsible for the
content, format or impact on the supplemental file(s) on our system. in some cases, the file type may be unknown or
may be a .exe file. We recommend caution as you open such files.
Copyright of the original materials contained in the supplemental file is retained by the author and your access to the
supplemental files is subject to the ProQuest Terms and Conditions of use.
Depending on the size of the file(s) you are downloading, the system may take some time to download them. Please be