Simulation of rainfall temporal distribution pattern using WRF Model (case study of Parsian dam basin)
During the rainfall, the intensity of precipitation varies. Changes in the amount of precipitation during an event of rainfall are effective in the resulting of flood and its intensity. Knowledge of how rainfall changes over time during rainfall is determined by temporal distribution pattern of rain...
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Kharazmi University
2023-06-01
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| Series: | تحقیقات کاربردی علوم جغرافیایی |
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| Online Access: | http://jgs.khu.ac.ir/article-1-3585-en.pdf |
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| author | Elaheh Ghasemi Karakani Ebrahim Fattahi Loabat Salehi Pak Hooshang Ghaemi |
| author_facet | Elaheh Ghasemi Karakani Ebrahim Fattahi Loabat Salehi Pak Hooshang Ghaemi |
| author_sort | Elaheh Ghasemi Karakani |
| collection | DOAJ |
| description | During the rainfall, the intensity of precipitation varies. Changes in the amount of precipitation during an event of rainfall are effective in the resulting of flood and its intensity. Knowledge of how rainfall changes over time during rainfall is determined by temporal distribution pattern of rainfall. For this purpose, availability of short-term time scales rainfalls data are important that obtained by rain gauge stations. However, the low density of the rain gauge network and the lack of sufficient data from the time pattern of rainfall have always been a problem in determining storm patterns for executive plans. Therefore, the simulation of WRF numerical weather models can be used. The WRF model is one of the most responsive models for predicting precipitation, temperature and atmospheric elements that used in this study. In this paper, three great storm events on 15 December 2003, 24 - 26 December 2006 and 6-7 March 2007 have been selected in the Parsian dam basin and surrounding areas in south west of Iran. The result of WRF numerical weather prediction model for these great storms compared with data loggers. It showed that the WRF model was able to performance the heavy rainfall and simulates the rainfall pattern in these dates. |
| format | Article |
| id | doaj-art-24b0de560e6b4a44b8528f81f5cc80fb |
| institution | Kabale University |
| issn | 2228-7736 2588-5138 |
| language | fas |
| publishDate | 2023-06-01 |
| publisher | Kharazmi University |
| record_format | Article |
| series | تحقیقات کاربردی علوم جغرافیایی |
| spelling | doaj-art-24b0de560e6b4a44b8528f81f5cc80fb2025-01-31T17:29:56ZfasKharazmi Universityتحقیقات کاربردی علوم جغرافیایی2228-77362588-51382023-06-012369259275Simulation of rainfall temporal distribution pattern using WRF Model (case study of Parsian dam basin)Elaheh Ghasemi Karakani0Ebrahim Fattahi1Loabat Salehi Pak2Hooshang Ghaemi3 PH.D. Student of climatology, tehran uni Associate Professor, Atmospheric Science & Meteorogical Research Center Masters of Gegropgy, Atmospheric Science & Meteorogical Research Center Professor, Atmospheric Science & Meteorogical Research Center During the rainfall, the intensity of precipitation varies. Changes in the amount of precipitation during an event of rainfall are effective in the resulting of flood and its intensity. Knowledge of how rainfall changes over time during rainfall is determined by temporal distribution pattern of rainfall. For this purpose, availability of short-term time scales rainfalls data are important that obtained by rain gauge stations. However, the low density of the rain gauge network and the lack of sufficient data from the time pattern of rainfall have always been a problem in determining storm patterns for executive plans. Therefore, the simulation of WRF numerical weather models can be used. The WRF model is one of the most responsive models for predicting precipitation, temperature and atmospheric elements that used in this study. In this paper, three great storm events on 15 December 2003, 24 - 26 December 2006 and 6-7 March 2007 have been selected in the Parsian dam basin and surrounding areas in south west of Iran. The result of WRF numerical weather prediction model for these great storms compared with data loggers. It showed that the WRF model was able to performance the heavy rainfall and simulates the rainfall pattern in these dates.http://jgs.khu.ac.ir/article-1-3585-en.pdfshort-term time scalesrainfallwrfparsian dam basin |
| spellingShingle | Elaheh Ghasemi Karakani Ebrahim Fattahi Loabat Salehi Pak Hooshang Ghaemi Simulation of rainfall temporal distribution pattern using WRF Model (case study of Parsian dam basin) تحقیقات کاربردی علوم جغرافیایی short-term time scales rainfall wrf parsian dam basin |
| title | Simulation of rainfall temporal distribution pattern using WRF Model (case study of Parsian dam basin) |
| title_full | Simulation of rainfall temporal distribution pattern using WRF Model (case study of Parsian dam basin) |
| title_fullStr | Simulation of rainfall temporal distribution pattern using WRF Model (case study of Parsian dam basin) |
| title_full_unstemmed | Simulation of rainfall temporal distribution pattern using WRF Model (case study of Parsian dam basin) |
| title_short | Simulation of rainfall temporal distribution pattern using WRF Model (case study of Parsian dam basin) |
| title_sort | simulation of rainfall temporal distribution pattern using wrf model case study of parsian dam basin |
| topic | short-term time scales rainfall wrf parsian dam basin |
| url | http://jgs.khu.ac.ir/article-1-3585-en.pdf |
| work_keys_str_mv | AT elahehghasemikarakani simulationofrainfalltemporaldistributionpatternusingwrfmodelcasestudyofparsiandambasin AT ebrahimfattahi simulationofrainfalltemporaldistributionpatternusingwrfmodelcasestudyofparsiandambasin AT loabatsalehipak simulationofrainfalltemporaldistributionpatternusingwrfmodelcasestudyofparsiandambasin AT hooshangghaemi simulationofrainfalltemporaldistributionpatternusingwrfmodelcasestudyofparsiandambasin |