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Ghahramani, A., Zolfaghari, H., Masoompour Samakosh, J. (2022). Sea Level Circulation Patterns and Their Relationship with Atmospheric Rivers Affecting Heavy Rainfall in Iran. , 20(4), 66-39. doi: 10.22067/jgrd.2022.68440.1008
Aminallah Ghahramani; Hasan Zolfaghari; Jafar Masoompour Samakosh. "Sea Level Circulation Patterns and Their Relationship with Atmospheric Rivers Affecting Heavy Rainfall in Iran". , 20, 4, 2022, 66-39. doi: 10.22067/jgrd.2022.68440.1008
Ghahramani, A., Zolfaghari, H., Masoompour Samakosh, J. (2022). 'Sea Level Circulation Patterns and Their Relationship with Atmospheric Rivers Affecting Heavy Rainfall in Iran', , 20(4), pp. 66-39. doi: 10.22067/jgrd.2022.68440.1008
Ghahramani, A., Zolfaghari, H., Masoompour Samakosh, J. Sea Level Circulation Patterns and Their Relationship with Atmospheric Rivers Affecting Heavy Rainfall in Iran. , 2022; 20(4): 66-39. doi: 10.22067/jgrd.2022.68440.1008

Sea Level Circulation Patterns and Their Relationship with Atmospheric Rivers Affecting Heavy Rainfall in Iran

جغرافیاوتوسعه ناحیه ای
Article 2, Volume 20, Issue 4 - Serial Number 41, December 2022, Pages 66-39    PDF (3.88 M)
Document Type: Research
DOI: 10.22067/jgrd.2022.68440.1008
Authors
Aminallah Ghahramani1; Hasan Zolfaghari* 2; Jafar Masoompour Samakosh2
1PhD Candidate in Climatology, Razi University, Kermanshah, Iran
2Associate Professor in Climatology, Razi University, Kermanshah, Iran
Abstract
The main goal of this research was identifying effective sea level circulation patterns in creating atmospheric rivers associated by heavy rains in Iran. Precipitation data were obtained from the Iranian Meteorological Organization and atmospheric gridded data including specific humidity, zonal wind, meridional wind and sea level pressure were obtained from the European Center for Medium-Range Weather Forecasts (ECMWF) for the period 1988-2018. The data were analyzed using the 99th percentile to identify heavy rains, integrated vapor transport (IVT) was used to identify atmospheric rivers, principal component analysis with S array and Varimax rotation was used to reduce variables and Ward Hierarchical Clustering Analysis was used to identify effective circulation patterns. From 13 principal components as inputs of cluster analysis, 5 main circulation patterns were obtained which were effective in heavy rains caused by atmospheric rivers. The results showed that the atmospheric rivers are mainly effective in 50% of the events under the influence of strong and relatively strong Sudanese low pressure. Moreover, Siberian and Tibetan high pressures are observed in most of the patterns and western high pressures are observed in some of them, which have often extended to the borders of Iran and show their influence on Iran. The influence of southern low pressure, including the Sudanese and the convergence of the Red Sea, is also evident, which is mainly strengthened over the Red Sea and the Persian Gulf and comes towards Iran. In general, the expansion of eastern and western high pressures in mid-latitudes and relatively strong to strong low pressures in low latitudes, shows more prominent role of the two extratropical (North Atlantic Ocean and the Mediterranean Sea) and tropical (Indian Ocean and The Red Sea) moisture sources in providing the moisture of the atmospheric rivers.
Keywords
Sea Level Circulation Types and Patterns; Atmospheric Rivers; Heavy Rainfall; Cluster Analysis; Iran
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