Identification and synoptic analysis of the highest precipitation linked to ARs in Iran

Lashkari, H; Esfandiari, Neda

doi:10.29252/jsaeh.7.2.187

Cited by 1 publication

(4 citation statements)

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“…It extended discontinuously towards the abovementioned first route to northeast Iran. These two paths mainly coincide with the main paths of Mediterranean cyclones and the Sudanian-Red Sea trough were explain in the literature (e.g., Alijani, 2016;Lashkari, 1996;Masoodian, 2011;Mofidi et al, 2014). It can be seen that the amount of precipitation in these routes has decreased by 2 mmÁyear −1 .…”

Section: Spatial Distribution Of Wind During the Owrs And Cwrs Phasessupporting

confidence: 73%

“…By being close to the 30°N, they reached the westerlies and form a hybrid system that produced heavy rains in the southwest of Iran. However, due to the distance from the heat‐moisture source and the dry condition in the center of Iran, the effect of the hybrid system was reduced towards the center of Iran (Jahanbakhsh & Zolfegari, 2001; Khosh Akhlaq, 1998; Lashkari, 1996). Consequently, the significant AP and RP in the WRS were consistent with the areas affected by the Sudanese‐Red Sea low pressure (Figure 5b).…”

Section: Resultsmentioning

confidence: 99%

“…When the low‐pressure trough of North Africa deepens and spreads over Egypt and Sudan, the Sudanese (MT) air mass passes through the convergence zone of the Red Sea (Figure 2a,b). It moves eastward and might bread heavy precipitation and flash floods in the western regions of Iran, particularly if it joins the Mediterranean trough (Lashkari, 1996)…”

Section: Methodsmentioning

confidence: 99%

“…When the low-pressure trough of North Africa deepens and spreads over Egypt and Sudan, the Sudanese (MT) air mass passes through the convergence zone of the Red Sea (Figure 2a,b). It moves eastward and might bread heavy precipitation and flash floods in the western regions of Iran, particularly if it joins the Mediterranean trough (Lashkari, 1996) In addition, the topography of Iran (Figure 1b) is distinguished by two mountain systems: the west-east (the Alborz mountain range in the north) and northwestsoutheast (the Zagros mountain chains in the west) systems which strongly affects the wind direction and speed on the local scale (Figure 2). These mountains are barriers against the movement of air masses and have dynamic-mechanical effects on the westerlies and southwestern systems as lifting forces (Figure 2).…”

Section: Study Areamentioning

confidence: 99%

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Identification of Iran's rainy season and its relation to some spatial features

Asakereh

Masoodian

Tarkarani

2023

Intl Journal of Climatology

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Identifying the rainy season (RS) is significantly important from the meteorological, hydrological and socio‐economic points of view. In the current study, the climatology of Iran's RS was identified based on developing a definition by mainly relying on examining daily rainfall observations from 2188 stations in the period of January 1, 1971–December 31, 2015 (45 years). Accordingly, it was revealed that at most two RSs could be distinguished in Iran; and there was a widespread rainy season (WRS) covering the entire country in three consecutive months (phases). In the northwest of the country, the Alborz Mountain chains, and in the southeast of Iran, the RS was mainly interrupted by a dry season. Therefore, two RSs occurred in these areas (widespread and regional rainy seasons [RRS]). The four withdrawal phases of the RS were relatively different on the regional scales. However, they generally showed a relation with latitudes. Unlike the onset date of phases of the RS, these phases did not occur at the same intervals. The diversity of spatial factors in Iran (including geographic coordination, topographic features and sea surface temperature of surrounding seas) caused the spatial diversity of the timing of the RS. Consequently, linear relationships could not illustrate the nature of the spatial pattern of this diversity. The linear spatial relationship was statistically significant only for the onset date of the RS. The regression model used in the present study showed that despite the effect of local factors on the onset date of the RS, the major regional differences could be attributed to systems and mechanisms that probably affected the onset date of the RS from outside of the country.

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Section: Spatial Distribution Of Wind During the Owrs And Cwrs Phasessupporting

confidence: 73%

Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Study Areamentioning

confidence: 99%

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