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Monitoring the occurrence of frost through an analysis of air masses in south west basins of Iran | ||
| Desert | ||
| مقاله 5، دوره 13، شماره 2، اسفند 2008، صفحه 137-146 اصل مقاله (265.3 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22059/jdesert.2008.36297 | ||
| نویسندگان | ||
| E. Fattahi* ؛ K. Noohi | ||
| Atmospheric Science & Meteorological Research Center, Tehran, Iran | ||
| چکیده | ||
| Frost is one of the atmospheric phenomena which seriously threaten crop production. It also causes numerous accidents in mountainous roads. In this research the Spatial Synoptic Classification SSC method was employed to classify the type of air masses. For the classification, such meteorological data as: temperature, dew point, mean sea level pressure, cloudiness, direction and speed of wind were collected for a period of 45 years from 1961 to 2005. For a classification of air masses a discernment method was applied and while typical characteristics of seed days being used as input for this discernment function method. The results indicated that, spring season air masses, Dry Polar (DP) air masses, Moist Polar (MP) and Moist Moderate (MM) air masses have contributed most to the occurrence of advection frosts respectively. Dry Polar air masses bore the lowest temperature and dew point, along with northerly and easterly wind components and a clear sky. These air masses caused the occurrence of the most severe and most extensive advection frosts in south west basins of Iran. | ||
| کلیدواژه‌ها | ||
| Air masses؛ Spatial Synoptic Classification SSC؛ Principal Component Analysis (PCA)؛ Frosts؛ Iran | ||
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