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
Climate change effects on extreme flows of water supply area in Istanbul: utility of regional climate models and downscaling method
Date
2015-09-01
Author
Kara, Fatih
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
252
views
0
downloads
Cite This
This study investigates the climate change impact on the changes of mean and extreme flows under current and future climate conditions in the Omerli Basin of Istanbul, Turkey. The 15 regional climate model output from the EU-ENSEMBLES project and a downscaling method based on local implications from geophysical variables were used for the comparative analyses. Automated calibration algorithm is used to optimize the parameters of Hydrologiska Byrans Vattenbalansavdel-ning (HBV) model for the study catchment using observed daily temperature and precipitation. The calibrated HBV model was implemented to simulate daily flows using precipitation and temperature data from climate models with and without downscaling method for reference (1960-1990) and scenario (2071-2100) periods. Flood indices were derived from daily flows, and their changes throughout the four seasons and year were evaluated by comparing their values derived from simulations corresponding to the current and future climate. All climate models strongly underestimate precipitation while downscaling improves their underestimation feature particularly for extreme events. Depending on precipitation input from climate models with and without downscaling the HBV also significantly underestimates daily mean and extreme flows through all seasons. However, this underestimation feature is importantly improved for all seasons especially for spring and winter through the use of downscaled inputs. Changes in extreme flows from reference to future increased for the winter and spring and decreased for the fall and summer seasons. These changes were more significant with downscaling inputs. With respect to current time, higher flow magnitudes for given return periods will be experienced in the future and hence, in the planning of the Omerli reservoir, the effective storage and water use should be sustained.
Subject Keywords
Climate change
,
Flooding
,
Regional climate models
,
Extreme flow
,
Downscaling
URI
https://hdl.handle.net/11511/47301
Journal
ENVIRONMENTAL MONITORING AND ASSESSMENT
DOI
https://doi.org/10.1007/s10661-015-4808-8
Collections
Department of Civil Engineering, Article
Suggestions
OpenMETU
Core
Trend analysis of watershed-scale annual and seasonal precipitation in Northern California based on dynamically downscaled future climate projections
Ishida, K.; Ercan, Ali; Trinh, T.; Jang, S.; Kavvas, M. L.; Ohara, N.; Chen, Z. Q.; Kure, S.; Dib, A. (2020-03-01)
Impact of future climate change on watershed-scale precipitation was investigated over Northern California based on future climate projections by means of the dynamical downscaling approach. Thirteen different future climate projection realizations from two general circulation models (GCMs: ECHAM5 and CCSM3) based on four emission scenarios (SRES A1B, A1FI, A2, and B1) were dynamically downscaled to 9-km resolution grids over eight watersheds in Northern California for a period of 90 water years (2010-2100)...
Future climate change impact assessment of watershed scale hydrologic processes in Peninsular Malaysia by a regional climate model coupled with a physically-based hydrology modelo
Amin, M. Z. M.; Shaaban, A. J.; Ercan, Ali; Ishida, K.; Kavvas, M. L.; Chen, Z. Q.; Jang, S. (2017-01-01)
Impacts of climate change on the hydrologic processes under future climate change conditions were assessed over Muda and Dungunwatersheds of PeninsularMalaysia bymeans of a coupled regional climate and physically- based hydrology model utilizing an ensemble of future climate change projections. An ensemble of 15 different future climate realizations from coarse resolution global climate models' (GCMs) projections for the 21st century was dynamically downscaled to 6 km resolution over Peninsular Malaysia by ...
Climate Change Adaptation in Serbia: The Role of Information Networks
Stupar, Aleksandra; Mihajlov, Vladimir (Middle East Technical University, Faculty of Architecture, 2016-6-1)
The importance of problems caused by global warming and increased GHG emissions have been recognised by the international community which responded to this challenge through a growing number of studies, agreements and policies dealing with climate change prevention, mitigation and adaptation. The shift to green economy is confirmed as the highest development aim, while establishing a balanced relationship between environmental policies, economic efficiency, technological upgrading and behavioural transition...
Inter-comparison of statistical downscaling methods for projection of extreme flow indices across Europe
Hundecha, Yeshewatesfa; Sunyer, Maria A.; Lawrence, Deborah; Madsen, Henrik; Willems, Patrick; Buerger, Gerd; Kriauciuniene, Jurate; Loukas, Athanasios; Martinkova, Marta; Osuch, Marzena; Vasiliades, Lampros; Von Christierson, Birgitte; Vormoor, Klaus; Yücel, İsmail (2016-10-01)
The effect of methods of statistical downscaling of daily precipitation on changes in extreme flow indices under a plausible future climate change scenario was investigated in 11 catchments selected from 9 countries in different parts of Europe. The catchments vary from 67 to 6171 km(2) in size and cover different climate zones. 15 regional climate model outputs and 8 different statistical downscaling methods, which are broadly categorized as change factor and bias correction based methods, were used for th...
Identifying impacts of climate change on water resources using CMIP6 simulations: Havran basin case
Çaktu, Yasemin; Yücel, İsmail; Fıstıkoğlu, Okan; Department of Earth System Science (2022-9-2)
This study aims to investigate climate change effect on precipitation, temperature and discharge in Havran basin which has thousands of decares of agricultural lands. Changes in precipitation and temperature were determined using 10 global climate models (GCMs) for total precipitation and 13 GCMs for average temperature from Coupled Model Intercomparison Project Phase 6 (CMIP6) for the historical period, SSP2-4.5 (moderate-case) and SSP5-8.5 (worst-case) scenarios. Both station observations and ERA5-Land re...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
F. Kara and İ. Yücel, “Climate change effects on extreme flows of water supply area in Istanbul: utility of regional climate models and downscaling method,”
ENVIRONMENTAL MONITORING AND ASSESSMENT
, pp. 0–0, 2015, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/47301.