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العنوان
Improvement of precipitation performance in wrf model over Egypt /
الناشر
Moetasm Hashem Eltaweel ,
المؤلف
Moetasm Hashem Eltaweel
هيئة الاعداد
باحث / Moetasm Hashem Eltaweel
مشرف / Mohamed Magdy Abdelwahab
مشرف / Elsayed Mohamed Abdelhamed Robaa
مناقش / Said Mohamed Robaa
تاريخ النشر
2019
عدد الصفحات
73 P. :
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
الفيزياء والفلك (المتنوعة)
تاريخ الإجازة
1/12/2019
مكان الإجازة
جامعة القاهرة - كلية العلوم - (Meteorology)
الفهرس
Only 14 pages are availabe for public view

from 120

from 120

Abstract

This work aimed to investigate the precipitation prediction problem over Egyptian domain using (NWP) model on mesoscale grid called weather research and forecasting model (WRF) with ARW dynamical core and to improve the sensitivity of resulted precipitation amounts the cloud resolving model (CRM) configuration is been utilized in this study on both (12) Cumulus Convective (CU) and (19) microphysical Parameterization schemes with a coarse domain of 27 Km and fine domain on Egypt area with resolution of 3 Km. By the aid of error estimate variables and observational data comparisons the improved (CU) options appeared to be highly affected by convective amount presence and the improvement only when convective precipitation is the lowest one which was Betts-Miller-Janjic scheme and the the (MP) best performance options was the single moment schemes such as (Lin and WSM5) which perform better with high resolution and CRM configuration in high convective simulations than the double moment schemes such as (Morrison and NSSL) which perform better in the non-convective simulations. Hence, the WRF model shows an obvious overestimation results over the Egyptian domain in extreme rainy events with high convective precipitation. In addition this study showed a more detailed investigation in Microphysical species such as (QCLOUD, QRAIN, SNOW, CAPE, QFX and Surface Evaporation) and those species remarkably affected by configuration and provided more enhancement in precipitation prediction amounts