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| 003 | EG-GiCUC | ||
| 005 | 20250223032403.0 | ||
| 008 | 190921s2019 ua a f m 000 0 eng d | ||
| 040 |
_aEG-GiCUC _beng _cEG-GiCUC |
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| 041 | 0 | _aeng | |
| 049 | _aDeposite | ||
| 097 | _aPh.D | ||
| 099 | _aCai01.12.01.Ph.D.2019.Da.E | ||
| 100 | 0 | _aDalal Mohammed Sadallh Elbeshary | |
| 245 | 1 | 0 |
_aEvaluation of the prediction of flash flood in benghazi by using weather research and forecasting (WRF) model / _cDalal Mohammed Sadallh Elbeshary ; Supervised Magdy Abdelwahab , Elsayed M. Robaa |
| 246 | 1 | 5 | _aتقييم التنبؤ بالسيول فى بنغازي باستخدام نموذج أبحاث التنبؤ بالطقس |
| 260 |
_aCairo : _bDalal Mohammed Sadallh Elbeshary , _c2019 |
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| 300 |
_a139 P. : _bill. ; _c25cm |
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| 502 | _aThesis (Ph.D.) - Cairo University - Faculty of Science - Department of Astronomy and Meteorology | ||
| 520 | _aThe principal objective of this study is to detect the climatic features and variability's over the Benghazi at Benina Meteorological Stations of Benghazi- Libya. Libya had suffered several floods that have caused many lives and property damage. This thesis investigates the flash floods occurred over Benghazi in the north eastern of Libya, which experienced successive flood events in successive years and in one year. Developing of our understanding of these floods and how they occur leads to improvement of forecasting of them. For that, this study introduces the climatology of the flash floods occurrence over Benina station, which represents Benghazi, during the years of 1965-2006, and their intensities.The numerical models are vital tools in weather forecasting, and in the recent two decades many models were developed to improve the weather forecast. WRF model is considered one of the most usable models to forecast the different weather phenomena, especially extreme precipitation. We used WRF model to study the synoptic situations associated with four flood events occurred over Benghazi. From the comparison between WRF and the reanalysis data of GPCP, WRF can simulate the precipitation amounts and their spatial distribution over northern of Libya, including Benghazi. The stability indices can be useful tools in measuring and predication of the extreme unstable conditions as what before and during the flash flood occurrence | ||
| 530 | _aIssued also as CD | ||
| 653 | 4 | _aFlash Flood | |
| 653 | 4 | _aModel | |
| 653 | 4 | _aPredict rainfall | |
| 700 | 0 |
_aElsayed M. Robaa , _eSupersor |
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| 700 | 0 |
_aMagdy Abdelwahab , _eSupersor |
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| 856 | _uhttp://172.23.153.220/th.pdf | ||
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_aNazla _eRevisor |
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_aShimaa _eCataloger |
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_2ddc _cTH |
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_c74026 _d74026 |
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