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Improvement of precipitation performance in wrf model over Egypt / Moetasm Hashem Eltaweel ; Supervised Mohamed Magdy Abdelwahab , Elsayed Mohamed Robaa

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Moetasm Hashem Eltaweel , 2019Description: 73 P. : charts , photographs ; 25cmOther title:
  • على مصر (WRF) تحسين توقع كمية الأمطار فى نموذج التنبؤ العددى [Added title page title]
Subject(s): Available additional physical forms:
  • Issued also as CD
Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Science - Department of Astronomy and Meteorology Summary: 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
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Item type Current library Home library Call number Copy number Status Barcode
Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.12.01.M.Sc.2019.Mo.I (Browse shelf(Opens below)) Not for loan 01010110080017000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.12.01.M.Sc.2019.Mo.I (Browse shelf(Opens below)) 80017.CD Not for loan 01020110080017000

Thesis (M.Sc.) - Cairo University - Faculty of Science - Department of Astronomy and Meteorology

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

Issued also as CD

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