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
Assessing nonstationarity impacts for historical and projected extreme precipitation in Turkey
Date
2021-01-01
Author
Aziz, Rizwan
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
274
views
0
downloads
Cite This
The temporal variability in yearly and seasonal extreme precipitation across Turkey is investigated using stationary and nonstationary frequency approach. Four frequency distributions namely, generalized extreme value (GEV), gumbel, normal, and lognormal distributions are used for the historical period (1971-2016) as well as the projection period (2051-2100). The nonstationarity impacts are determined by calculating the percentage difference of return levels (30 years) between stationary and nonstationary cases for both periods. The results are presented as nonstationarity impact maps across Turkey, providing information about the spatial variability of the magnitude of impacts as well as the impact types, i.e., the increase or decrease in return levels of extreme precipitation. For nonstationarity analysis during the projection period, the projected precipitation data is obtained from a 12-member ensemble of the Coordinated Regional Downscaling Experiment (CORDEX) regional climate models (RCM) based on the worst emission scenario (RCP8.5). In addition to this, the effects of bias-corrections on stationarities are also investigated for selected RCMs. Performance evaluation of CORDEX ensemble members suggested significant intramodel and intraregion variability in the simulation of historical precipitation. Overall, GEV provided the best fit while normal distribution provided the worst fit to precipitation extremes. However, with a few exceptions, all the distributions exhibited a similar pattern for the historical impacts of nonstationarities across the country. The yearly nonstationarity impacts for the 30-year return level reached 35, 30, 25, and 20% for the Mediterranean, Aegean, Marmara, and Black sea regions, respectively, while a mixed type of nonstationarity impacts was found in Central, Eastern, and South-Eastern Anatolia regions. Moreover, the magnitude and impact type of nonstationarity showed important variations between the seasons. The ensemble analyses of CORDEX-based projected precipitation demonstrated that during the projection period, the nonstationarity impacts are found to be different in magnitude and type as compared to the impacts during the historical period in many regions (particularly in the eastern part of Turkey). The 30-year return levels of extreme precipitations are expected to increase (up to 30%) across Turkey in the yearly, winter, spring, and autumn seasons during the projection period. However, during the same period, the summer extremes in Eastern Anatolia and Mediterranean regions decreased ( up to 30%) with nonstationarity. Projected increases in the precipitation extremes lead to more floods and winter storms, while decreases in the summer precipitations will further dwindle water availability.
Subject Keywords
Atmospheric Science
URI
https://hdl.handle.net/11511/88592
Journal
THEORETICAL AND APPLIED CLIMATOLOGY
DOI
https://doi.org/10.1007/s00704-020-03503-x
Collections
Department of Civil Engineering, Article
Suggestions
OpenMETU
Core
Nonstationarity impacts on frequency analysis of yearly and seasonal extreme temperature in Turkey
Aziz, Rizwan; Yücel, İsmail; Yozgatlıgil, Ceylan (Elsevier BV, 2020-07-01)
This study investigates the temporal variability in yearly and seasonal extreme temperatures across Turkey using stationary and nonstationary frequency analysis. The analyses are conducted using Generalized Extreme Value (GEV), Gumbel and Normal distributions for minimum and maximum temperatures during historical (1971-2016) and projection period (2051-2100). The future nonstationarity impacts are quantified using a 12-member ensemble of The Coordinated Regional Downscaling Experiment (CORDEX) regional clim...
Clustering current climate regions of Turkey by using a multivariate statistical method
İyigün, Cem; Batmaz, İnci; Yozgatlıgil, Ceylan; Koc, Elcin Kartal; Ozturk, Muhammed Z. (Springer Science and Business Media LLC, 2013-10-01)
In this study, the hierarchical clustering technique, called Ward method, was applied for grouping common features of air temperature series, precipitation total and relative humidity series of 244 stations in Turkey. Results of clustering exhibited the impact of physical geographical features of Turkey, such as topography, orography, land-sea distribution and the high Anatolian peninsula on the geographical variability. Based on the monthly series of nine climatological observations recorded for the period...
Intercomparison of rain gauge, radar, and satellite-based precipitation estimates with emphasis on hydrologic forecasting
Yılmaz, Koray Kamil; Hsu, KL; Sorooshian, S; Gupta, HV; Wagener, T (American Meteorological Society, 2005-08-01)
This study compares mean areal precipitation (MAP) estimates derived from three sources: an operational rain gauge network (MAPG), a radar/gauge multisensor product (MAPX), and the Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN) satellite-based system (MAPS) for the time period from March 2000 to November 2003. The study area includes seven operational basins of varying size and location in the southeastern United States. The analysis indicates that agre...
Extreme value analysis and forecasting of maximum precipitation amounts in the western Black Sea subregion of Turkey
Yozgatlıgil, Ceylan (Wiley, 2018-12-01)
Monthly maximum precipitation amounts for the period 1950-2010 were modelled for seven climatological stations in the western Black Sea subregion of Turkey using a distributional and time series analysis approach. First, the generalized extreme value (GEV) distribution was fitted using the location parameter of the GEV distribution as a function of several explanatory variables that affect the maximum precipitation. We quantified the change in extreme precipitation for each location and derived estimates of...
Evaluation of Multiple Satellite-Based Precipitation Products over Complex Topography
DERIN, Yagmur; Yılmaz, Koray Kamil (American Meteorological Society, 2014-08-01)
This study evaluates the performance of four satellite-based precipitation (SBP) products over the western Black Sea region of Turkey, a region characterized by complex topography that exerts strong controls on the precipitation regime. The four SBP products include the Tropical Rainfall Measuring Mission (TRMM) Multisatellite Precipitation Analysis version 7 experimental near-real-time product (TMPA-7RT) and post-real-time research-quality product (TMPA-7A), the Climate Prediction Center morphing technique...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
R. Aziz and İ. Yücel, “Assessing nonstationarity impacts for historical and projected extreme precipitation in Turkey,”
THEORETICAL AND APPLIED CLIMATOLOGY
, pp. 0–0, 2021, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/88592.