Abstract
In applied hydrology, estimating the peak flood discharge in ungauged or poorly gauged river sections is vital for urbanized areas. Spatially distributed rainfall data such as weather radar data may be a good choice to represent the driving force in hydrologic models for ungauged regions. However, it is important to examine the accuracy of this product, especially over mountainous regions. The bias between radar rainfall and rain gauge rainfall can be progressively removed by using information provided by rain gauges. The Kalman Filter algorithm is applied for the mean field bias correction of radar rainfall data using past estimates and observations. Regarding the bias-correction methods, two filtering approaches are developed from 8 events observed at 13 rain gauge stations, and the bias-corrected radar (BCR) rainfall data are used to compare simulated and observed hydrographs for the three flood events that caused severe consequences in Samsun–Terme. It is found out that in frontal type rainfall, BCR rainfall estimates improve the Nash–Sutcliffe efficiency from 0.56 to 0.80 in runoff simulation of the event occurred on 22 November 2014; however, simulations of the event occurred on 2 August 2015 and 28 May 2016 have poorer statistical results probably owing to the effect of convective type rainfall and snow melting, respectively.
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Acknowledgements
Much of the work described here is the result of a project Funded by METU (BAP-03-03-2015-001). The WRF, radar and gauge rainfall data were provided by the State Meteorological Office, and discharge data were provided by the State Water Works. Snow cover data were provided by EUMETESAT in the framework of the EUMETSAT Satellite Application Facility in Support of Operational Hydrology and Water Management (H-SAF) project. A. Ozkaya acknowledges support of the Scientific and Technological Research Council of Turkey (TUBITAK) BIDEB 2211-A PhD Scholarship Program.
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Ozkaya, A., Akyurek, Z. Evaluating the use of bias-corrected radar rainfall data in three flood events in Samsun, Turkey. Nat Hazards 98, 643–674 (2019). https://doi.org/10.1007/s11069-019-03723-z
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DOI: https://doi.org/10.1007/s11069-019-03723-z