The Effect of Pacific Ocean Teleconnection Patterns on Relative Humidity along the Southern Coasts of Iran

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Esmaeilzadeh Zeinab; Salahi Bromand; Saber Mahnaz

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Journal Paper

Paper Information

Journal: HYDROPHYSICS Year:2024 | Volume:10 | Issue:1 Page(s): 35-52

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Title

The Effect of Pacific Ocean Teleconnection Patterns on Relative Humidity along the Southern Coasts of Iran

Author(s)

Esmaeilzadeh Zeinab | Salahi Bromand | Saber Mahnaz | Issue Writer Certificate

Keywords

Climate Patterns

Pacific Ocean

southern coasts of Iran

Correlation

Teleconnection

Abstract

This study examines the relationship between relative humidity at stations located in the plains and along the southern coasts of Iran and Pacific Ocean Teleconnection patterns. Using statistical methods—including Pearson Correlation analysis, analysis of variance, and backward regression—data from 25 synoptic stations and 14 Pacific Ocean Teleconnection indices were analyzed. The results revealed that, at the regional scale, the strongest Correlations between Pacific Ocean patterns and relative humidity along Iran’s southern coasts were observed with the SOI pattern (-0.75), followed by the TROPICAL SST, PDO, and PWARMPOOL patterns (0.7). These patterns explained relative humidity variations at Kangan-e-Jam (91%) and Bandar Mahshahr (90%) stations with high accuracy. Additionally, multiple Correlation coefficients and coefficients of determination were calculated for Minab (84%), Bandar Jask (80%), Omidiyeh (77%), Bandar Lengeh (74%), Bushehr (73%), Abadan (66%), Bandar Abbas (61%), and Chabahar (46%). These variations reflect differing regional sensitivities to climatic patterns, likely influenced by local geographical and climatic factors. Multivariate regression models indicated the strongest relationships between relative humidity and the SOI, NINO3.4, ENSO, and TNI indices, followed by the PWPOOL and WHWP patterns. The findings demonstrate that Pacific Ocean Teleconnection patterns effectively explain relative humidity variability. Moreover, the complexity of the regional climate system and the simultaneous influence of multiple Teleconnection patterns highlight the need for comprehensive multivariate models in regional climate change analyses. This study underscores the importance of Teleconnection pattern analysis in understanding regional climate variability and suggests their potential as valuable tools for climate risk prediction and management.

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