Evluating the use of different precipitation datasets in simulating a flood event

Date

2016-12-12

Author

Akyürek, Sevda Zuhal

Metadata

Show full item record

Item Usage Stats

175
views

0
downloads

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 numerical weather prediciton model (Weather Research and Forecasting (WRF)) precipitation datasets during an extreme flood event (22.11.2014) lasting 40 hours in Samsun-Turkey. For this study, hourly rainfall data from 13 ground observation stations were used in the analyses. This event having a peak discharge of 541 m3/sec created flooding at the downstream of Terme Basin. Comparisons were performed in two parts. First the analysis were performed in areal and point based manner. Secondly, a semi-distributed hydrological model was used to assess the accuracy of the rainfall datasets to simulate river flows for the flood event. Kalman Filtering was used in the bias correction of radar rainfall data compared to gauge measurements. Radar, gauge, corrected radar, HE and WRF rainfall data were used as model inputs. Generally, the HE product underestimates the cumulative rainfall amounts in all stations, radar data underestimates the results in cumulative sense but keeps the consistency in the results. On the other hand, almost all stations in WRF mean statistics computations have better results compared to the HE product but worse than the radar dataset. Results in point comparisons indicated that, trend of the rainfall is captured by the radar rainfall estimation well but radar underestimates the maximum values. According to cumulative gauge value, radar underestimated the cumulative rainfall amount by % 32. Contrary to other datasets, the bias of WRF is positive due to the overestimation of rainfall forecasts. It was seen that radar-based flow predictions demonstrated good potential for successful hydrological modeling. Moreover, flow predictions obtained from bias corrected radar rainfall values produced an increase in the peak flows compared to the ones obtained from radar data itself.

URI

www.agu.com
https://hdl.handle.net/11511/72925

Conference Name

American Geophysical Union, Fall Meeting, (2016)

Collections

Department of Civil Engineering, Conference / Seminar

Suggestions

OpenMETU
Core

Evaluating the use of radar precipitation data in simulating a flood event in Terme Samsun Turkey Akyürek, Sevda Zuhal (2016-10-10) 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 ...
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 ...
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...
Assessment of a flash flood event using different precipitation datasets Yücel, İsmail (2015-12-01) Remotely sensed precipitation estimates and regional atmospheric model precipitation forecasts provide rainfall data at high spatial and temporal resolutions and can therefore be potentially used for hydrological applications for flash flood forecasting and warning. This study investigates the performance of the rainfall products obtained from weather radar, the Hydro-Estimator (HE) algorithm of NOAA/NESDIS and the Weather Research and Forecasting (WRF) model, and their use in the Hydrologic Engineering Cen...
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...

Citation Formats

S. Z. Akyürek, “Evluating the use of different precipitation datasets in simulating a flood event,” presented at the American Geophysical Union, Fall Meeting, (2016), 2016, Accessed: 00, 2021. [Online]. Available: www.agu.com.