Classification of Iranian weather types based on Woś method
Understanding the daily weather types of any specific location is crucial for identifying its long-term climate patterns. In this study, we utilized the Wos classification method in conjunction with a comprehensive climatological approach to analyze key variables, including minimum, average, and max...
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Kharazmi University
2025-06-01
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| Series: | تحقیقات کاربردی علوم جغرافیایی |
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| Online Access: | http://jgs.khu.ac.ir/article-1-4291-en.pdf |
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| author | Hassan Heidari Ebrahim Mesgari |
| author_facet | Hassan Heidari Ebrahim Mesgari |
| author_sort | Hassan Heidari |
| collection | DOAJ |
| description | Understanding the daily weather types of any specific location is crucial for identifying its long-term climate patterns. In this study, we utilized the Wos classification method in conjunction with a comprehensive climatological approach to analyze key variables, including minimum, average, and maximum temperatures, as well as cloud cover and daily precipitation. Data from 1985 to 2021 were collected from 39 synoptic stations, which exhibited a well-distributed representation across the country and provided complete datasets. Weather types were identified using established coding techniques. The findings indicated that the predominant temperature types in the country are primarily categorized as hot and very hot, with sub-codes reflecting generally low to moderate cloud cover and negligible precipitation. Furthermore, the application of Ward's clustering method facilitated the identification of three distinct climatic groups. The geographical characteristics of each location, including factors such as altitude, latitude, proximity to the sea, and synoptic influences, play a significant role in the regional differentiation of these groups within the country. The outcomes of this research can be instrumental in developing weather calendars for various regions, with implications for numerous sectors including agriculture and tourism. |
| format | Article |
| id | doaj-art-c272e25c611c4bc1b214083517d1ed50 |
| institution | Kabale University |
| issn | 2228-7736 2588-5138 |
| language | fas |
| publishDate | 2025-06-01 |
| publisher | Kharazmi University |
| record_format | Article |
| series | تحقیقات کاربردی علوم جغرافیایی |
| spelling | doaj-art-c272e25c611c4bc1b214083517d1ed502025-01-31T17:34:08ZfasKharazmi Universityتحقیقات کاربردی علوم جغرافیایی2228-77362588-51382025-06-012577106127Classification of Iranian weather types based on Woś methodHassan Heidari0Ebrahim Mesgari1 Associate Professor of Climatology, Faculty of Literature and Humanities, Urmia University,Urmia, Iran. Phd. in Climatology, Department of Climatology, Faculty of Geography and environmental planing, University of Sistan and Baluchestan, Zahedan, Iran. Understanding the daily weather types of any specific location is crucial for identifying its long-term climate patterns. In this study, we utilized the Wos classification method in conjunction with a comprehensive climatological approach to analyze key variables, including minimum, average, and maximum temperatures, as well as cloud cover and daily precipitation. Data from 1985 to 2021 were collected from 39 synoptic stations, which exhibited a well-distributed representation across the country and provided complete datasets. Weather types were identified using established coding techniques. The findings indicated that the predominant temperature types in the country are primarily categorized as hot and very hot, with sub-codes reflecting generally low to moderate cloud cover and negligible precipitation. Furthermore, the application of Ward's clustering method facilitated the identification of three distinct climatic groups. The geographical characteristics of each location, including factors such as altitude, latitude, proximity to the sea, and synoptic influences, play a significant role in the regional differentiation of these groups within the country. The outcomes of this research can be instrumental in developing weather calendars for various regions, with implications for numerous sectors including agriculture and tourism.http://jgs.khu.ac.ir/article-1-4291-en.pdfweathertypewoścomplex climatologyclimate diversity |
| spellingShingle | Hassan Heidari Ebrahim Mesgari Classification of Iranian weather types based on Woś method تحقیقات کاربردی علوم جغرافیایی weathertype woś complex climatology climate diversity |
| title | Classification of Iranian weather types based on Woś method |
| title_full | Classification of Iranian weather types based on Woś method |
| title_fullStr | Classification of Iranian weather types based on Woś method |
| title_full_unstemmed | Classification of Iranian weather types based on Woś method |
| title_short | Classification of Iranian weather types based on Woś method |
| title_sort | classification of iranian weather types based on wos method |
| topic | weathertype woś complex climatology climate diversity |
| url | http://jgs.khu.ac.ir/article-1-4291-en.pdf |
| work_keys_str_mv | AT hassanheidari classificationofiranianweathertypesbasedonwosmethod AT ebrahimmesgari classificationofiranianweathertypesbasedonwosmethod |