Evaluating the use of radar precipitation data in simulating a flood event in Terme Samsun Turkey

Akyürek, Sevda Zuhal
Özkaya, Arzu
Floods caused by convective storms in mountainous regions are sensitive to the temporal and spatial variability of precipitation. In developing countries, researches and authorities working on this issue have to deal with lack of data. Even a dense raingauge network may not be able to state variability of the precipitation patterns especially in mountainous regions. Space-time estimates of rainfall from weather radar can be a remedy to represent pattern of the rainfall with some inaccuracy. In the field of meteorology and hydrology, the use of weather radar is not new (Maynard, 1945; Battan, 1973). Although, rainfall estimate from weather radar serves as an important feature in hydrology and water resource applications, its precision is affected by factors such as; reflectivity measurement operation and Z-R conversion process (Joss and Waldvogel 1970). This study is performed in two parts. Firstly, before forming the model, datasets are analyzed in areal and point based manner. Secondly, The HEC-HMS model is used to assess the accuracy of the rainfall datasets to simulate river flows for the flood event. Kalman Filtering is used in the bias correction of radar rainfall data compared to gauge measurements. Radar, gauge and corrected radar data are used as model inputs.
Citation Formats
S. Z. Akyürek and A. Özkaya, “Evaluating the use of radar precipitation data in simulating a flood event in Terme Samsun Turkey,” presented at the ERAD -9th European Conference on Radar in Meteorology, (10-14 Ekim 2016), Samsun,Turkey, 2016, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/73284.