Synoptic analysis of heavy precipitations of Kurdistan province

The aim of this study is synoptic analysis of heavy precipitations in Kurdistan Province during 1/1/1961 to 31/12/2010(18263days). By using two thresholds of extensively and intensity of precipitation, 107 days have been recognized. In temporal view, the selected days occurrences in wet seasons of y...

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Main Author: Mohammad Darand
Format: Article
Language:fas
Published: Kharazmi University 2015-09-01
Series:تحقیقات کاربردی علوم جغرافیایی
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Online Access:http://jgs.khu.ac.ir/article-1-2419-en.pdf
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author Mohammad Darand
author_facet Mohammad Darand
author_sort Mohammad Darand
collection DOAJ
description The aim of this study is synoptic analysis of heavy precipitations in Kurdistan Province during 1/1/1961 to 31/12/2010(18263days). By using two thresholds of extensively and intensity of precipitation, 107 days have been recognized. In temporal view, the selected days occurrences in wet seasons of year that start from October to June. By applying the principle component analysis on the sea level pressure during the 107 days, the results showed that 12 components explain about 93 percent of sea level pressure variation. The results of the applying cluster analysis on the component score showed that two circulation patterns result in occurrence of extreme and heavy precipitations in Kurdistan province. In order to recognize heavy precipitation in dry season (June to October), the area mean precipitation for the province have been calculated. According to the 99 percentile threshold and extensively of precipitation the heavy phenomena recognized. By two thresholds 32 days selected and same as to the wet season precipitation the sea level pressure data from NOAA extracted. The data analyzed by Principle Component Analysis and 11 components extracted that explain the 93 percent of variation sea level pressure in the frame study. By doing cluster analysis on the 11 components, one pattern recognized for the sea level pressure.  The results showed that in lower atmospheric levels (1000, 925 and 850 hpa) occurred highest convergence on the study region during wet season. The source of humidity in the lower levels is Arabian, Red, Oman, Persian Gulf and Mediterranean Seas. In the high level atmosphere, the value of convergence is low. The sources of humidity in high levels atmosphere are Red and Mediterranean Seas. In the mid level atmosphere (500 hpa) the presence of trough results in nutrition of the instability on the study region. Also during dry season, the highest moisture flux convergence occurred in the low levels but the resource of the moisture is Caspian Sea. In the upper levels (from 700 hpa to up) in addation to Caspian Sea, Mediterranean and Red sea are the resource of heavy precipitations.
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institution Kabale University
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2588-5138
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series تحقیقات کاربردی علوم جغرافیایی
spelling doaj-art-2b93b9fdea194a5facda7e85be3644952025-01-31T17:22:30ZfasKharazmi Universityتحقیقات کاربردی علوم جغرافیایی2228-77362588-51382015-09-0115374770Synoptic analysis of heavy precipitations of Kurdistan provinceMohammad Darand0 The aim of this study is synoptic analysis of heavy precipitations in Kurdistan Province during 1/1/1961 to 31/12/2010(18263days). By using two thresholds of extensively and intensity of precipitation, 107 days have been recognized. In temporal view, the selected days occurrences in wet seasons of year that start from October to June. By applying the principle component analysis on the sea level pressure during the 107 days, the results showed that 12 components explain about 93 percent of sea level pressure variation. The results of the applying cluster analysis on the component score showed that two circulation patterns result in occurrence of extreme and heavy precipitations in Kurdistan province. In order to recognize heavy precipitation in dry season (June to October), the area mean precipitation for the province have been calculated. According to the 99 percentile threshold and extensively of precipitation the heavy phenomena recognized. By two thresholds 32 days selected and same as to the wet season precipitation the sea level pressure data from NOAA extracted. The data analyzed by Principle Component Analysis and 11 components extracted that explain the 93 percent of variation sea level pressure in the frame study. By doing cluster analysis on the 11 components, one pattern recognized for the sea level pressure.  The results showed that in lower atmospheric levels (1000, 925 and 850 hpa) occurred highest convergence on the study region during wet season. The source of humidity in the lower levels is Arabian, Red, Oman, Persian Gulf and Mediterranean Seas. In the high level atmosphere, the value of convergence is low. The sources of humidity in high levels atmosphere are Red and Mediterranean Seas. In the mid level atmosphere (500 hpa) the presence of trough results in nutrition of the instability on the study region. Also during dry season, the highest moisture flux convergence occurred in the low levels but the resource of the moisture is Caspian Sea. In the upper levels (from 700 hpa to up) in addation to Caspian Sea, Mediterranean and Red sea are the resource of heavy precipitations.http://jgs.khu.ac.ir/article-1-2419-en.pdfheavy precipitationfloodsynoptic analysiskurdistanmoisture convergence flux
spellingShingle Mohammad Darand
Synoptic analysis of heavy precipitations of Kurdistan province
تحقیقات کاربردی علوم جغرافیایی
heavy precipitation
flood
synoptic analysis
kurdistan
moisture convergence flux
title Synoptic analysis of heavy precipitations of Kurdistan province
title_full Synoptic analysis of heavy precipitations of Kurdistan province
title_fullStr Synoptic analysis of heavy precipitations of Kurdistan province
title_full_unstemmed Synoptic analysis of heavy precipitations of Kurdistan province
title_short Synoptic analysis of heavy precipitations of Kurdistan province
title_sort synoptic analysis of heavy precipitations of kurdistan province
topic heavy precipitation
flood
synoptic analysis
kurdistan
moisture convergence flux
url http://jgs.khu.ac.ir/article-1-2419-en.pdf
work_keys_str_mv AT mohammaddarand synopticanalysisofheavyprecipitationsofkurdistanprovince