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Changes in precipitation and air temperature over Turkey using innovative trend pivot analysis method
This study aims to investigate variability in precipitation and air temperature data of all provinces in Turkey. The Innovative Trend Pivot Analysis Method (ITPAM) was used to analyze the trend in precipitation (mm) and air temperature (oC) data of Turkey in this study. Analyzing the country as a wh...
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Published in: | Journal of water and climate change 2024-05, Vol.15 (5), p.2446-2463 |
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creator | Ceyhunlu, Ahmet Iyad Ceribasi, Gokmen |
description | This study aims to investigate variability in precipitation and air temperature data of all provinces in Turkey. The Innovative Trend Pivot Analysis Method (ITPAM) was used to analyze the trend in precipitation (mm) and air temperature (oC) data of Turkey in this study. Analyzing the country as a whole using this method is one of the strengths of the study. 30-year data sets between 1991 and 2020 were analyzed. As a result of the study, trend analysis results of precipitation and air temperature data of 81 provinces in Turkey were obtained. The significance level in trends was determined as 5%. Forty-one percent of monthly total precipitation data of Turkey showed an increasing trend, 41% showed a decreasing trend, while 18% showed no trend in this study. In the standard deviation of precipitation data, 44% of the data showed an increasing trend, 42% showed a decreasing trend and 14% showed no trend. Moreover, it was concluded that there was an increasing trend of 67% in monthly average air temperature data and an increasing trend of 46% in the standard deviation data. According to these results, it is concluded that monthly average air temperature data has a largely increasing trend. |
doi_str_mv | 10.2166/wcc.2024.041 |
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The Innovative Trend Pivot Analysis Method (ITPAM) was used to analyze the trend in precipitation (mm) and air temperature (oC) data of Turkey in this study. Analyzing the country as a whole using this method is one of the strengths of the study. 30-year data sets between 1991 and 2020 were analyzed. As a result of the study, trend analysis results of precipitation and air temperature data of 81 provinces in Turkey were obtained. The significance level in trends was determined as 5%. Forty-one percent of monthly total precipitation data of Turkey showed an increasing trend, 41% showed a decreasing trend, while 18% showed no trend in this study. In the standard deviation of precipitation data, 44% of the data showed an increasing trend, 42% showed a decreasing trend and 14% showed no trend. Moreover, it was concluded that there was an increasing trend of 67% in monthly average air temperature data and an increasing trend of 46% in the standard deviation data. According to these results, it is concluded that monthly average air temperature data has a largely increasing trend.</description><identifier>ISSN: 2040-2244</identifier><identifier>EISSN: 2408-9354</identifier><identifier>DOI: 10.2166/wcc.2024.041</identifier><language>eng</language><publisher>London: IWA Publishing</publisher><subject>Air temperature ; Climate change ; Hydrologic data ; Hydrology ; Innovations ; itpam ; Methods ; Monthly ; Precipitation ; Precipitation data ; Standard deviation ; Temperature data ; Time series ; Trend analysis ; Trends ; turkey</subject><ispartof>Journal of water and climate change, 2024-05, Vol.15 (5), p.2446-2463</ispartof><rights>Copyright IWA Publishing 2024</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c254t-3bb0e1ddd4af76959b858a79b50aba7d7c909907a0c85735a7d0377e6ea0a293</cites><orcidid>0000-0003-3145-418X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Ceyhunlu, Ahmet Iyad</creatorcontrib><creatorcontrib>Ceribasi, Gokmen</creatorcontrib><title>Changes in precipitation and air temperature over Turkey using innovative trend pivot analysis method</title><title>Journal of water and climate change</title><description>This study aims to investigate variability in precipitation and air temperature data of all provinces in Turkey. The Innovative Trend Pivot Analysis Method (ITPAM) was used to analyze the trend in precipitation (mm) and air temperature (oC) data of Turkey in this study. Analyzing the country as a whole using this method is one of the strengths of the study. 30-year data sets between 1991 and 2020 were analyzed. As a result of the study, trend analysis results of precipitation and air temperature data of 81 provinces in Turkey were obtained. The significance level in trends was determined as 5%. Forty-one percent of monthly total precipitation data of Turkey showed an increasing trend, 41% showed a decreasing trend, while 18% showed no trend in this study. In the standard deviation of precipitation data, 44% of the data showed an increasing trend, 42% showed a decreasing trend and 14% showed no trend. Moreover, it was concluded that there was an increasing trend of 67% in monthly average air temperature data and an increasing trend of 46% in the standard deviation data. 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The Innovative Trend Pivot Analysis Method (ITPAM) was used to analyze the trend in precipitation (mm) and air temperature (oC) data of Turkey in this study. Analyzing the country as a whole using this method is one of the strengths of the study. 30-year data sets between 1991 and 2020 were analyzed. As a result of the study, trend analysis results of precipitation and air temperature data of 81 provinces in Turkey were obtained. The significance level in trends was determined as 5%. Forty-one percent of monthly total precipitation data of Turkey showed an increasing trend, 41% showed a decreasing trend, while 18% showed no trend in this study. In the standard deviation of precipitation data, 44% of the data showed an increasing trend, 42% showed a decreasing trend and 14% showed no trend. Moreover, it was concluded that there was an increasing trend of 67% in monthly average air temperature data and an increasing trend of 46% in the standard deviation data. According to these results, it is concluded that monthly average air temperature data has a largely increasing trend.</abstract><cop>London</cop><pub>IWA Publishing</pub><doi>10.2166/wcc.2024.041</doi><tpages>18</tpages><orcidid>https://orcid.org/0000-0003-3145-418X</orcidid><oa>free_for_read</oa></addata></record> |
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language | eng |
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subjects | Air temperature Climate change Hydrologic data Hydrology Innovations itpam Methods Monthly Precipitation Precipitation data Standard deviation Temperature data Time series Trend analysis Trends turkey |
title | Changes in precipitation and air temperature over Turkey using innovative trend pivot analysis method |
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