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:: Volume 22, Issue 77 (5-2022) ::
جغرافیایی 2022, 22(77): 35-56 Back to browse issues page
ANALYSIS AND SYNOPTIC PATTERNS CLASSIFICATION OF SNOWFALL EVENTS IN GUILAN PROVINCE
Amer Gandomkar * 1, Sedighrh Ganji2 , Parviz Rezaei3 , Ail reza Abbasi1
1- , Islamic Azad University, Najafabad
2- , Islamic Azad University
3- , Islamic Azad University, Rasht
Abstract:   (1866 Views)
   In order to identify and classification of synoptic patterns of snowfall in Guilan province was used NCEP/NCAR reanalysis 1 database. For this purpose, 253 snowfall days from 1998 to 2018 (20 years) were determined and then 500 hPa geopotential level were used to classify patterns by PCA method. In this study, an environmental to circulation approach was used. The results of the data classification showed that four European high pressure patterns, bipolar blocking, Siberian and North Caspian Sea dynamic-thermal high pressure and Mediterranean cyclones control the area's snowfall days. In the first three patterns, the arrangement of the western wind waves and the amplification of the high pressure through the convergence of the air flow in the mid-atmosphere are considered to be obvious and the air subsidence in this level increases the vertical upward extend of high pressure to higher levels. Thus the above three high pressures and Mediterranean cyclones are also dynamic and this is one of the prominent features of synoptic patterns of snowfall days.
 
Keywords: : Snowfall event, environmental to circulation approach, principle component analysis, European High Pressure, Guilan province.
Full-Text [PDF 1970 kb]   (481 Downloads)    
Type of Study: Research | Subject: Special
Received: 2019/12/26 | Accepted: 2020/02/20 | Published: 2022/05/23
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gandomkar A, ganji S, Rezaei P, Abbasi A R. ANALYSIS AND SYNOPTIC PATTERNS CLASSIFICATION OF SNOWFALL EVENTS IN GUILAN PROVINCE. جغرافیایی 2022; 22 (77) :35-56
URL: http://geographical-space.iau-ahar.ac.ir/article-1-3597-en.html


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Volume 22, Issue 77 (5-2022) Back to browse issues page
فضای جغرافیایی Geographic Space
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