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Assessing Variations in Climate Extremes Over Euphrates Basin, Turkey

dc.authorid Bostan, Pinar/0000-0002-8947-1938
dc.authorscopusid 55825406000
dc.authorwosid Bostan, Pınar/Aaa-5913-2021
dc.contributor.author Bostan, Pinar
dc.date.accessioned 2025-05-10T17:09:09Z
dc.date.available 2025-05-10T17:09:09Z
dc.date.issued 2020
dc.department T.C. Van Yüzüncü Yıl Üniversitesi en_US
dc.department-temp [Bostan, Pinar] Van Yuzuncu Yil Univ, Fac Architecture & Design, Landscape Architecture Dept, TR-65080 Van, Turkey; [Bostan, Pinar] Twente Univ, ITC, Enschede, Netherlands en_US
dc.description Bostan, Pinar/0000-0002-8947-1938 en_US
dc.description.abstract The variation in climate extremes at different spatial and temporal scales can be conceived as an important indicator of climate change. The focus of this study is to reveal linear trends and observe space-time (ST) variation in extreme climate indices over the Euphrates Basin in Turkey. Extreme climate indices are calculated using daily maximum, minimum, and mean temperatures, including observations of daily precipitation measured from 41 meteorological stations from 1970 to 2017. Three precipitation indices, consecutive dry days (CDD), consecutive wet days (CWD), and precipitation intensity (SDII), together with three temperature indices, number of summer days (SU), number of frost days (FD), and growing season length (GSL), are analysed. Linear trends in these extreme indices are examined using the Mann-Kendall test. The ST distribution and variation in climate indices are examined through prediction maps for this study period. Ordinary kriging (OK), which has proven to be accurate and reliable in many studies, is used to obtain prediction maps on ST framework. Results indicated that there is an evident trend in the temperature-related indices. Regarding SU and GSL, about 66% and 34% of all stations, respectively, show a significant increasing trend. The downward trend (negativeZstatistic) for the FD is observed at approximately 83% of all meteorological stations, of which 35% show a significant trend. The ST variation in temperature-related extremes is evident from prediction maps; the trend is not as dominant for precipitation-related indices. In terms of ST prediction maps, the most prominent variation is observed in the south and northeast parts of the basin in CDD and CWD prediction maps from 2013 to 2017. en_US
dc.description.woscitationindex Science Citation Index Expanded
dc.identifier.doi 10.1007/s00704-020-03238-9
dc.identifier.endpage 1473 en_US
dc.identifier.issn 0177-798X
dc.identifier.issn 1434-4483
dc.identifier.issue 3-4 en_US
dc.identifier.scopus 2-s2.0-85086431900
dc.identifier.scopusquality Q2
dc.identifier.startpage 1461 en_US
dc.identifier.uri https://doi.org/10.1007/s00704-020-03238-9
dc.identifier.uri https://hdl.handle.net/20.500.14720/7063
dc.identifier.volume 141 en_US
dc.identifier.wos WOS:000539870200001
dc.identifier.wosquality Q2
dc.institutionauthor Bostan, Pinar
dc.language.iso en en_US
dc.publisher Springer Wien en_US
dc.relation.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Extreme Climate Indices en_US
dc.subject Mann-Kendall Test en_US
dc.subject Space-Time Interpolation en_US
dc.subject Euphrates Basin en_US
dc.title Assessing Variations in Climate Extremes Over Euphrates Basin, Turkey en_US
dc.type Article en_US

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