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 flash flood events using remote sensing and atmospheric model-derived precipitation in a hydrological model
Date
2011-07-07
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
181
views
0
downloads
Cite This
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 hydrological model (HEC-HMS) to simulate the catastrophic flood events which occurred in the Ayamama basin in northwest Turkey during 7-12 September 2009. The WRF model is also run with three-dimensional variational assimilation to obtain improved precipitation forecasts. The precipitation estimates at 4-km from the HE and WRF model, with and without assimilation, were evaluated against raingauge and radar data. The 4-km HE and WRF-estimated rainfall showed capabilities in capturing the timing of the flood events and to some extent the spatial distribution and magnitude of the heavy rainfall. Hydrological modelling based on HEC-HMS is applied using rainfall data from raingauges, radar, HE and WRF model. By use of surface hydrographs obtained from HEC-HMS, the HEC-RAS hydrological model is used to simulate inundation extent. The extent of the inundated areas in the river basin changes according to the peak discharges of the surface hydrographs used in the HEC-RAS module.
Subject Keywords
Satellite rainfall
,
Radar
,
Hydrological model
,
Flash flood
,
Turkey
URI
https://hdl.handle.net/11511/52844
Collections
Department of Civil Engineering, Conference / Seminar
Suggestions
OpenMETU
Core
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...
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...
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 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...
Investigation of the dependence of satellite-based precipitation estimate errors to distance from the coastline Uydu Kaynakli Yaǧmur Verilerinin Hata Oranlarinin Deniz Kiyilarina Olan Uzakliǧa Baǧli Analizi
YILMAZ, MERİÇ; Amjad, Muhammad; Bulut, Burak; Yılmaz, Mustafa Tuğrul (2017-01-01)
In this study, Tropical Rainfall Measuring Mission (TRMM) 3B42 v7 satellite based rainfall data are verified by using cumulative monthly rainfall data measured at 257 stations operated by the General Directorate of Meteorology between 1998 and 2014. Long-term mean values of station-based and satellite-based rainfall data, correlation between them, Standard deviation of monthly average and anomaly components, and standard deviation of satellite based data error are analyzed. Variation of satellite-based data...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
İ. Yücel, “Assessment of flash flood events using remote sensing and atmospheric model-derived precipitation in a hydrological model,” Melbourne, AUSTRALIA, 2011, vol. 344, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/52844.