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

Date

2016-10-10

Author

Akyürek, Sevda Zuhal

Metadata

Show full item record

Item Usage Stats

169
views

0
downloads

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.

URI

https://hdl.handle.net/11511/73284

Conference Name

ERAD -9th European Conference on Radar in Meteorology, (10-14 Ekim 2016)

Collections

Department of Civil Engineering, Conference / Seminar

Suggestions

OpenMETU
Core

Evaluating the use of different precipitation datsets in flood modelling Akyürek, Sevda Zuhal (2016-04-17) Satellite based precipitation products, numerical weather prediction model precipitation forecasts and weather radar precipitation estimates can be a remedy for gauge sparse regions especially in flood forecasting studies. However, there is a strong need for evaluation of the performance and limitations of these estimates in hydrology. This study compares the Hydro-Estimator precipitation product, Weather Research and Forecasting (WRF) model precipitation and weather radar values with gauge data in Samsun-T...
Evluating the use of different precipitation datasets in simulating a flood event Akyürek, Sevda Zuhal (2016-12-12) Floods caused by convective storms in mountainous regions are sensitive to the temporal and spatial variability of rainfall. Space-time estimates of rainfall from weather radar, satellites and numerical weather prediction models can be a remedy to represent pattern of the rainfall with some inaccuracy. However, there is a strong need for evaluation of the performance and limitations of these estimates in hydrology. This study aims to provide a comparison of gauge, radar, satellite (Hydro-Estimator (HE)) and...
Assessment of flash flood events using remote sensing and atmospheric model-derived precipitation in a hydrological model Yücel, İsmail (2011-07-07) Remotely-sensed precipitation estimates and regional atmospheric model precipitation forecasts provide rainfall data at high spatial and temporal resolutions with a large-scale coverage, and can therefore be potentially used for hydrological applications for making flash flood forecasts and warnings. This study investigates the performance of the rainfall products obtained from the Hydro Estimator (HE) algorithm of NOAA/NESDIS and the Weather Research and Forecasting (WRF) model, and their use in a hydrolog...
The importance of allochthonous organic matter quality when investigating pulse disturbance events in freshwater lakes: a mesocosm experiment Caldero-Pascual, Maria; Yildiz, Dilvin; Yalçın, Gülce; Metin, Melisa; Yetim, Sinem; Fiorentin, Claudia; Andersen, Mikkel Rene; Jennings, Eleanor; Jeppesen, Erik; Ger, Kemal Ali; Beklioğlu, Meryem; McCarthy, Valerie (2021-11-01) Extreme precipitation is occurring with greater frequency and intensity as a result of climate change. Such events boost the transport of allochthonous organic matter (allo-OM) to freshwater ecosystems, yet little is known about the impacts on dissolved organic matter (DOM) quality and seston elemental stoichiometry, especially for lakes in warm climates. A mesocosm experiment located in a Turkish freshwater lake was designed to simulate a pulse event leading to increased inputs of allo-OM by examining the ...
Evaluation of the WRF & WRF-Hydro modeling system to better understand the hydrometeorological interactions over humid and semi-arid climate conditions Düzenli, Eren; Yılmaz, Mustafa Tuğrul; Yücel, İsmail; Department of Civil Engineering (2022-10-7) Changing climate causes extreme weather events, such as heavy precipitation and flash floods, to occur more destructive and frequently. Thus, it is worthwhile to perform a reliable prediction of hydrometeorological circumstances reasonably before extreme events occur. Similarly, robust estimation of future weather conditions would contribute significantly to long-term water management issues, one of the most crucial problems of our time. Accordingly, this study evaluates the skill of (un)coupled WRF/WRF-Hyd...

Citation Formats

S. Z. Akyürek, “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.