Abstract
Keywords
Statistical, Thermodynamic and Synoptic Analysis of Hail Phenomenon in theLorestan Province
F. Dargahian[1]
Ph.D in Climatology, Expert of Research center of Applied Meteorology in Lorestan, Khoramabad, Iran
B. Alijani
Professor of Climatology and Director of the Center of Excellence for the Spatial Analysis of Environmental Hazards, Kharazmi University, Tehran, Iran
Gh.H. Rezai
PhD Student in Climatology, Tehran University, Tehran, Iran
R. Prno
M.A in Climatology, Expert of synoptic meteorology Khuzestan, Ahvaz, Iran
Abstract
Hail is a hazardous weather element that often associated with baroclinic synoptic-scale systems. For the purpose of statistical analysis, synoptic and thermodynamic phenomena of hail in province, data were collected from the meteorological database of Lorestan province from 1378 to 1392. Arc GIS software was used in order to identify the spatial and temporal distribution of the occurrence of this phenomenon. Monthly and seasonal frequency of its occurrence are shown. In addition to the analyzing of the spatial and temporal occurrence of hail in the region, hail events according to prevailing synoptic were clustered into two instable groups. Convective-thermal cluster that mostly occurs in the warm season and low-pressure cluster that mostly occurs in the cold season and the dominant of the west wind or front system. Some dynamic features of hot and cold events were extracted and compared. The results showed that, based on dynamic indexes instability of hot cluster is higher than the cold period. Synoptic features related to cold and hot event occurrence on earth surfaces, 500 and 700 hPa with isotherm maps and 500 hPa with omega maps were compared and analyzed to express the degree of instability in the day of occurrence of hail. Identification of unstable generating hail systems and prone areas can be used to reduce the damage caused by its occurrence that leads to sustainable development in regional planning.
Keywords: Hail, Thermodynamic properties, Synoptic patterns, Warm and cold clusters, Regional planning, Lorestan.
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