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
Decadal variability analysis of extreme precipitation in Turkey and its relationship with teleconnection patterns
Download
index.pdf
Date
2017
Author
Düzenli, Eren
Metadata
Show full item record
Item Usage Stats
268
views
342
downloads
Cite This
Natural disasters as droughts and floods originate as a consequence of excessive decrease or increase in precipitation amount and/or frequency, while the variability in the climate significantly impacts the expected change in precipitation. Given that many global ocean-atmosphere teleconnection patterns (AO, WeMO, NAO, SOI, etc.) are tightly related with the climate variability and show decadal/multi-decadal oscillations, it is important to analyze precipitation variability at the decadal time-scale to understand the (expected) variability in the climate more effectively. In this study, decadal oscillations of extreme precipitation in Turkey are investigated using Quantile Perturbation Method (QPM). Daily precipitation data observed over 67 stations in Turkey between 1955 and 2014 are utilized in the analyses. AO, WeMO, NAO, and SOI teleconnection patterns are examined for their relation with the extreme precipitation variability to understand the potential drivers of extreme precipitation in Turkey. According to the analysis based on single drivers, NAO is identified as the most effective driver of Turkey’s extreme precipitation among 4 climate indices, while AO has a similar effect. When the teleconnection patterns are investigated in pairs, combination of NAO and SOI results in the highest response to the winter extremes in Turkey.
Subject Keywords
Climatic changes.
,
Precipitation anomalies.
,
Precipitation forecasting.
,
Teleconnections (Climatology).
,
Ocean-atmosphere interaction.
URI
http://etd.lib.metu.edu.tr/upload/12621354/index.pdf
https://hdl.handle.net/11511/26756
Collections
Graduate School of Natural and Applied Sciences, Thesis
Suggestions
OpenMETU
Core
Decadal variability analysis of extreme precipitation in Turkey and its relationship with teleconnection patterns
Duzenli, Eren; Tabari, Hossein; Willems, Patrick; Yılmaz, Mustafa Tuğrul (2018-11-15)
Natural disasters such as droughts and floods originate as a consequence of excessive high or low precipitation amount and/or frequency. Due to the temporal persistence of the latter, the disasters tend to cluster in time. Because global ocean-atmosphere teleconnection patterns with (multi-) decadal oscillations are tightly related with the precipitation variability, it is useful to analyse precipitation variability at the same timescale to understand any possible connection between them. In this study, dec...
Comparing ecological structure of Turkish shallow lakes between the seasons, and wet & dry years
Çağan, Ali Serhan; Beklioğlu, Meryem; Department of Biology (2015)
Due to global climate change, lakes in Mediterranean climate face the problem of reduced precipitation and enhanced evaporation along with increased water abstraction for irrigation that are largely causing changes in water level, salinity and nutrient dynamics. In this study 22 Turkish shallow lakes were investigated in the Mediterranean climate zone. All lakes were sampled with a well-established snapshot sampling protocol. There are 19 lakes, which were sampled once during both spring and summer seasons ...
Extreme precipitation and drought monitoring in northeastern China using general circulation models and pan evaporation-based drought indices
Faiz, Muhammad Abrar; Liu, Dong; Fu, Qiang; Wrzesinski, Dariusz; Baig, Faisal; Nabi, Ghulam; Khan, Muhammad Imran; Li, Tianxiao; Cui, Song (2018-01-01)
The evaluation of precipitation extremes and the usage of appropriate drought indices are very important for assessment of natural disasters (i.e. floods and drought). For this purpose, we calculated values of indices that reflect precipitation extremes and 3 drought indices, i.e. the composite index (CI), standardized precipitation evapotranspiration index (SPEI), and reconnaissance drought index (RDI), with reformulation of pan evaporation and Penman-Monteith equations (denoted as CI-Pan, RDI-Pan, RDI-PM,...
Predictability of monthly streamflow discharge using remote sensing precipitation data by data driven models
Çolak, Mehmet Ali; Yılmaz, Mustafa Tuğrul; Department of Civil Engineering (2017)
Predictability of stream flow has been the focus of many studies involving water resources management and hydroelectric energy production. Many hydrologic models have been developed to predict future and current streamflow at various time lags and locations. However, these physically-based models require reanalyzed future data sets (particularly precipitation forcing data) to predict future streamflow. Alternatively, data driven models can also provide predictions without the need of future projections by r...
Analysis of teleconnection patterns on climate of Northern Cyprus
Nabango, Hope Nabwire; Akıntuğ, Bertuğ; Sustainable Environment and Energy Systems (2019-9)
The complex interaction of components in the climate system has greatly contributed to uncertainty in climate patterns. Inarguably, anthropogenic factors have relentlessly increased this phenomenon. While innumerable research aimed at forecasting these interactions and their impacts on climate identify three streams of uncertainties as; model responses, external forcing factors and internal atmospheric variability, lack of knowledge on these factors have continue to challenge efficient results pertaining to...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
E. Düzenli, “Decadal variability analysis of extreme precipitation in Turkey and its relationship with teleconnection patterns,” M.S. - Master of Science, Middle East Technical University, 2017.