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
Evaluation of a Hydro-Meteorological Model System for Flood Forecasting of a Mediterranean Basin in Turkey
Date
2020-05-08
Author
Kılıçarslan, Berina
Duzenli, Eren
Pilatin, Heves
Yücel, İsmail
Yılmaz, Mustafa Tuğrul
Metadata
Show full item record
Item Usage Stats
317
views
0
downloads
Cite This
Floods, which are considered as one of the most destructive extreme weather events, are being more severe issues with changing climate, and they are threatening both human life and property. To address flood hazard issues, this study evaluates the application of a hydro-meteorological model system as an early warning system approach. The Weather Research and Forecasting Hydrological model system (WRF-Hydro), a fully-distributed, multi-physics, multi-scale hydrologic model, has the capability of accurately capturing the flood hydrographs in terms of shape and peak time corresponding to storm precipitation. WRF-Hydro model system is implemented with meteorological forcing data obtained from the Weather Research and Forecasting (WRF) atmospheric model. WRF/WRF-Hydro model system is operated in uncoupled mode. The study area is the Oymapinar Basin in Southern Turkey has complex topographic characteristics, and in the upstream basin area, the river network originates from mountainous region. Five heavy rainfall events occurred between January 2015 and May 2015 in the basin selected to assess the model performance of simulating flood hydrograph. The model calibration process is performed by covering three heavy rainfall events, while two of them are used for validation of the model system. This study provides an initial evaluation for possible coupled atmospheric-hydrological model simulations between WRF and WRF-Hydro model systems for future applications.
URI
https://doi.org/10.5194/egusphere-egu2020-519
https://hdl.handle.net/11511/81286
Conference Name
Evaluation of a Hydro-Meteorological Model System for Flood Forecasting of a Mediterranean Basin in Turkey", EGU General Assembly 2020, 4 - 08 Mayıs 2020
Collections
Department of Civil Engineering, Conference / Seminar
Suggestions
OpenMETU
Core
Experimental investigations of flood management by an engineered levee breach
Ibrahim, Ibrahim Adil; Çalamak, Melih; LaRocque, Lindsey; Imran, Jasim (2019-01-01)
Extreme flooding has become more prevalent due to climate change and has been causing extensive damage, loss of property, and fatalities around the world. Levees are often constructed to prevent inundation in floodplains and urban areas. Flood mitigation efforts during extreme floods include forcing a breach in the levee at a strategic location to avoid flooding at target locations. A well-known example of engineered levee breaches along the Mississippi River is the New Madrid Floodway at Birds Point, contr...
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...
Evaluation of Relations among Drought Indices and Remotely Sensed Soil: Moisture Datasets over Turkey
Bulut, Burak; Afshar, Mehdi; Yılmaz, Mustafa Tuğrul (null; 2018-04-08)
Drought is globally classified as a natural disaster due to the damage it causes. As a result, detection of its characteristics is essential for understanding and reducing the adverse effects of this natural disaster and improving its prediction. Spatial distribution and temporal changes of soil moisture is one of the important components in climatic, ecological and natural hazards at global, regional and local levels scales. In this study, different drought indices (i.e. SPI, SPEI, PDSI) and remotely sense...
Evaluation of numerical weather prediction models for flash flood warnings in Turkey
Aksoy, Mehmet; Yücel, İsmail; Department of Civil Engineering (2020-10-15)
Flash floods are among the most destructive natural disasters in both Turkey and world that cause loss of life and property. In this study, monthly distribution of heavy rainfall events in the period of 2015-2019 is examined to show the frequency and distribution of flash floods associated with these heavy rainfall events in Turkey. The monthly distribution of lightning observations for the period of 2015 and 2019 is also studied to release the relationship between heavy rainfall events and lightning ...
Advancement of Satellite Rainfall Applications for Hydrologic Modeling with Emphasis on Flood Monitoring (FLOODSAT)
Yılmaz, Koray Kamil(2014-3-31)
"Floods are the most widespread and frequent natural disaster responsible for significant loss of lives and property each year. The European Environmental Agency estimated that floods in Europe between 1998 and 2002 caused about 700 deaths, the displacement of about half a million people and at least 25 billion Euros in insured economic losses. As such, one of the four priority areas in FP7 has been identified as triggering factors and forecasting and mitigation strategies for natural hazards. Flood early ...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
B. Kılıçarslan, E. Duzenli, H. Pilatin, İ. Yücel, and M. T. Yılmaz, “Evaluation of a Hydro-Meteorological Model System for Flood Forecasting of a Mediterranean Basin in Turkey,” presented at the Evaluation of a Hydro-Meteorological Model System for Flood Forecasting of a Mediterranean Basin in Turkey”, EGU General Assembly 2020, 4 - 08 Mayıs 2020, 2020, Accessed: 00, 2021. [Online]. Available: https://doi.org/10.5194/egusphere-egu2020-519.