Assessment of Teleconnection Patterns Affecting Rainfall Extreme Indices(Case Study: Sistan-Baluchestan Province)

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MAHMOODABADI MEHDI; OMIDVAR KAMAL; MOZAFARI GHOLAMALI; MAZIDI AHMAD

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Journal: JOURNAL OF WATERSHED MANAGEMENT RESEARCH Year:2018 | Volume:9 | Issue:17 Page(s): 280-294

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Title

Assessment of Teleconnection Patterns Affecting Rainfall Extreme Indices(Case Study: Sistan-Baluchestan Province)

Author(s)

MAHMOODABADI MEHDI | OMIDVAR KAMAL | MOZAFARI GHOLAMALI | MAZIDI AHMAD | Issue Writer Certificate

Keywords

Rainfall Extreme indexQ1

TeleconnectionQ1

Sistan-BluchestanQ2

NAOQ1

PNAQ1

NINA1Q1

Abstract

Generally, Climatic extreme events, like the heavy rainfalls and sudden changes cause the greatest range of damages to water resources, agricultural and even human daily life. Therefore, correction and regular monitoring reduces their negative effects. Climatic signals represent changes of between temperature and pressure in ocean that they are one of the most influential parameters on climatic patterns. This study evaluates the effects of large – scale climate factors on rainfall extreme indices in Sistan-Baluchestan province as symbol of arid land in Iran that it has sever climatic oscillations. In order to at first step we use data of daily rainfall 6 synoptic stations at 1987-2014 period from meteorological organization and 19 Teleconnection indices from NCEP/NCAR. Then we calculated extreme indices. In continue correlation of extreme indices and Teleconnection calculated. In next step we analyzed affecting Teleconnection by regression model. The result of the correlation between Teleconnection indices and extreme rainfall indices showed that TSI, TNI, AO, WP, WHWP, TNA, NINO1, EA, NINO4, PDO, PNAو NAO have correlation with rainfall extreme indices but this effects are different in station to another as in Khash station the most correlation occur with R50 and in Chabahar station occur with R10. So determined that Teleconnection identify about 30 percent of changes.

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APA: Copy

MAHMOODABADI, MEHDI, OMIDVAR, KAMAL, MOZAFARI, GHOLAMALI, & MAZIDI, AHMAD. (2018). Assessment of Teleconnection Patterns Affecting Rainfall Extreme Indices(Case Study: Sistan-Baluchestan Province). JOURNAL OF WATERSHED MANAGEMENT RESEARCH, 9(17 ), 280-294. SID. https://sid.ir/paper/368659/en

Vancouver: Copy

MAHMOODABADI MEHDI, OMIDVAR KAMAL, MOZAFARI GHOLAMALI, MAZIDI AHMAD. Assessment of Teleconnection Patterns Affecting Rainfall Extreme Indices(Case Study: Sistan-Baluchestan Province). JOURNAL OF WATERSHED MANAGEMENT RESEARCH[Internet]. 2018;9(17 ):280-294. Available from: https://sid.ir/paper/368659/en

IEEE: Copy

MEHDI MAHMOODABADI, KAMAL OMIDVAR, GHOLAMALI MOZAFARI, and AHMAD MAZIDI, “Assessment of Teleconnection Patterns Affecting Rainfall Extreme Indices(Case Study: Sistan-Baluchestan Province),” JOURNAL OF WATERSHED MANAGEMENT RESEARCH, vol. 9, no. 17 , pp. 280–294, 2018, [Online]. Available: https://sid.ir/paper/368659/en

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