Assess the role of climate change and teleconnection signals at maximum temperature, Case study: Khuzestan province
In this Research, the maximum temperature of selected stations in Khuzestan province and the numerical values of 8 extreme climatic indicators belonging to the Expert Team on Climate Change Detection, Monitoring and Indices (ETCCDMI) were used in the statistical period of 1987-2017. To analyze the t...
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Kharazmi University
2022-12-01
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| Series: | تحقیقات کاربردی علوم جغرافیایی |
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| Online Access: | http://jgs.khu.ac.ir/article-1-3305-en.pdf |
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| author | Gholamabbas Fallah Ghalhari Fahimeh Shakeri |
| author_facet | Gholamabbas Fallah Ghalhari Fahimeh Shakeri |
| author_sort | Gholamabbas Fallah Ghalhari |
| collection | DOAJ |
| description | In this Research, the maximum temperature of selected stations in Khuzestan province and the numerical values of 8 extreme climatic indicators belonging to the Expert Team on Climate Change Detection, Monitoring and Indices (ETCCDMI) were used in the statistical period of 1987-2017. To analyze the trend of extreme climatic indices, the Man-Kendall test was used and to estimate the slope of the trend line, the Sen’s estimator was used. In this study, given the importance of global warming that severely affected all aspects of life, the authors explore the relationship between climatic factors and maximum temperature in Khuzestan province until to rely on it, and ones can predict and forecast air temperature at this region. For this purpose, the temperature of selected stations in Khuzestan province and numerical values of 8 climate indicators in the period 1987-2014 have been used. To understand the relationship between climate indicators and maximum temperature at 1 to 12 months of delays, Pearson’s correlation coefficient was used. The results showed that most of the extreme climatic indicators in the study period had a significant trend. The TX10 and TN10 indices have had negative trend in most stations and the TX90, TN90, TXx, TXn, TNx and TNn indices have had positive trend. According to the results of correlation coefficients can be concluded that all studied signals have a significant effect on the province's maximum temperature. The correlation between maximum temperature and indices PNA, TSA, WHWP, WP and NAO, was more than the other climate indicators. Results also showed that the entire indices except NAO have significant positive correlation with maximum temperature of the province. PNA index with a delay of 10 months has the highest positive correlation with maximum temperature of study area. |
| format | Article |
| id | doaj-art-f8de55596a3f44d393637d7636aa6984 |
| institution | Kabale University |
| issn | 2228-7736 2588-5138 |
| language | fas |
| publishDate | 2022-12-01 |
| publisher | Kharazmi University |
| record_format | Article |
| series | تحقیقات کاربردی علوم جغرافیایی |
| spelling | doaj-art-f8de55596a3f44d393637d7636aa69842025-01-31T17:29:35ZfasKharazmi Universityتحقیقات کاربردی علوم جغرافیایی2228-77362588-51382022-12-012267439457Assess the role of climate change and teleconnection signals at maximum temperature, Case study: Khuzestan provinceGholamabbas Fallah Ghalhari0Fahimeh Shakeri1 Associate professor of climatology, Hakim Sabzevari University, Sabzevar, Iran Ph.D. Student of Climatology, Hakim Sabzevari University, Sabzevar, Iran. In this Research, the maximum temperature of selected stations in Khuzestan province and the numerical values of 8 extreme climatic indicators belonging to the Expert Team on Climate Change Detection, Monitoring and Indices (ETCCDMI) were used in the statistical period of 1987-2017. To analyze the trend of extreme climatic indices, the Man-Kendall test was used and to estimate the slope of the trend line, the Sen’s estimator was used. In this study, given the importance of global warming that severely affected all aspects of life, the authors explore the relationship between climatic factors and maximum temperature in Khuzestan province until to rely on it, and ones can predict and forecast air temperature at this region. For this purpose, the temperature of selected stations in Khuzestan province and numerical values of 8 climate indicators in the period 1987-2014 have been used. To understand the relationship between climate indicators and maximum temperature at 1 to 12 months of delays, Pearson’s correlation coefficient was used. The results showed that most of the extreme climatic indicators in the study period had a significant trend. The TX10 and TN10 indices have had negative trend in most stations and the TX90, TN90, TXx, TXn, TNx and TNn indices have had positive trend. According to the results of correlation coefficients can be concluded that all studied signals have a significant effect on the province's maximum temperature. The correlation between maximum temperature and indices PNA, TSA, WHWP, WP and NAO, was more than the other climate indicators. Results also showed that the entire indices except NAO have significant positive correlation with maximum temperature of the province. PNA index with a delay of 10 months has the highest positive correlation with maximum temperature of study area.http://jgs.khu.ac.ir/article-1-3305-en.pdfpearson's correlation coefficientclimate indicesmann-kendal testsen's estimatorkhuzestan province. |
| spellingShingle | Gholamabbas Fallah Ghalhari Fahimeh Shakeri Assess the role of climate change and teleconnection signals at maximum temperature, Case study: Khuzestan province تحقیقات کاربردی علوم جغرافیایی pearson's correlation coefficient climate indices mann-kendal test sen's estimator khuzestan province. |
| title | Assess the role of climate change and teleconnection signals at maximum temperature, Case study: Khuzestan province |
| title_full | Assess the role of climate change and teleconnection signals at maximum temperature, Case study: Khuzestan province |
| title_fullStr | Assess the role of climate change and teleconnection signals at maximum temperature, Case study: Khuzestan province |
| title_full_unstemmed | Assess the role of climate change and teleconnection signals at maximum temperature, Case study: Khuzestan province |
| title_short | Assess the role of climate change and teleconnection signals at maximum temperature, Case study: Khuzestan province |
| title_sort | assess the role of climate change and teleconnection signals at maximum temperature case study khuzestan province |
| topic | pearson's correlation coefficient climate indices mann-kendal test sen's estimator khuzestan province. |
| url | http://jgs.khu.ac.ir/article-1-3305-en.pdf |
| work_keys_str_mv | AT gholamabbasfallahghalhari assesstheroleofclimatechangeandteleconnectionsignalsatmaximumtemperaturecasestudykhuzestanprovince AT fahimehshakeri assesstheroleofclimatechangeandteleconnectionsignalsatmaximumtemperaturecasestudykhuzestanprovince |