Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Assessment of a flash flood event using different precipitation datasets
Date
2015-12-01
Author
Yücel, İsmail
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
187
views
0
downloads
Cite This
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 Center's Hydrological Modeling System to simulate the catastrophic flood events that occurred in the Ayamama Basin in Istanbul, Turkey during 7-12 September 2009. The precipitation estimates at 4 km were evaluated against gridded precipitation obtained from 34 rain gauges in the study area. The HE, WRF, and radar precipitation showed capabilities in capturing the timing of the flood events and, to some degree, the spatial distribution. They all, however, underestimated the magnitude of the heavy rainfall which caused the flooding. Among these products, the HE showed the best performance, yielding the lowest bias and root mean squared error. Correlations for radar and HE precipitation were close to each other and substantially greater than that of the WRF model. Traces of flood water available for a portion of the Ayamama basin showed that the 9 September flood event is categorized as an event greater than the 500-year return period, with peak discharge of 253.8 m(3)/s. Among the flood hydrographs produced using radar, WRF, HE, and rain gauge precipitation inputs, only the gauge-based precipitation produced a flood peak (264.7 m(3)/s) greater than the 500-year return period on the morning of 9 September 2009. The HE precipitation produced a 100-year flood value (160 m(3)/s), while radar and WRF precipitation both yielded a 25-year flood value (150 m(3)/s) on the flood day. Given the poor drainage capacity of the Ayamama basin, however, this 25-year peak discharge value is also capable of causing flooding in the area.
Subject Keywords
Satellite rainfall
,
Turkey
,
Flash flood
,
Hydrological model
,
Radar
,
NWP
URI
https://hdl.handle.net/11511/38672
Journal
NATURAL HAZARDS
DOI
https://doi.org/10.1007/s11069-015-1938-9
Collections
Department of Civil Engineering, Article
Suggestions
OpenMETU
Core
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...
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...
Evaluating the utility of satellite-based precipitation estimates for runoff prediction in ungauged basins
Yılmaz, Koray Kamil; Hogue, Terri S.; Hsu, Kuo-Lin; Wagener, Thorsten; Sorooshian, Soroosh (2005-04-09)
Increased availability of global satellite-based precipitation estimates makes them potentially suitable for hydrological applications in remote regions where ground-based measurement networks are missing or sparse. This potential can be evaluated by testing the satellite estimates at locations where relatively dense ground-based networks are available. This study was conducted for two sites in the southeastern United States where precipitation estimates from a raingauge networks weather radar and satellite...
Calibration and evaluation of a flood forecasting system: Utility of numerical weather prediction model, data assimilation and satellite-based rainfall
Yücel, İsmail; Yılmaz, Koray Kamil (2015-04-01)
A fully-distributed, multi-physics, multi-scale hydrologic and hydraulic modeling system, WRF-Hydro, is used to assess the potential for skillful flood forecasting based on precipitation inputs derived from the Weather Research and Forecasting (WRF) model and the EUMETSAT Multi-sensor Precipitation Estimates (MPEs). Similar to past studies it was found that WRF model precipitation forecast errors related to model initial conditions are reduced when the three dimensional atmospheric data assimilation (3DVAR)...
Evaluating the one way coupling of WRF Hydro for flood forecasting
Yücel, İsmail; Yılmaz, Koray Kamil (null; 2016-04-18)
A fully-distributed, multi-physics, multi-scale hydrologic and hydraulic modeling system, WRF-Hydro, is used to assess the potential for skillful flood forecasting based on precipitation inputs derived from the Weather Research and Forecasting (WRF) model and the EUMETSAT Multi-sensor Precipitation Estimates (MPEs). Similar to past studies it was found that WRF model precipitation forecast errors related to model initial conditions are reduced when the three dimensional atmospheric data assimilation (3DVAR)...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
İ. Yücel, “Assessment of a flash flood event using different precipitation datasets,”
NATURAL HAZARDS
, pp. 1889–1911, 2015, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/38672.