Search In this Thesis
   Search In this Thesis  
العنوان
Numerical weather modelling and satellite data assimilation for simulation severe dust events over Egypt /
الناشر
Mohamed Samir Mohamed Kamel Eltahan ,
المؤلف
Mohamed Samir Mohamed Kamel Eltahan
هيئة الاعداد
باحث / Mohamed Samir Mohamed Kamel Eltahan
مشرف / Atef O.Sherif
مشرف / Mohammed Shokr
مناقش / Mohamed Madbouli Abdelrahman
مناقش / Yunsoo, Choi
تاريخ النشر
2018
عدد الصفحات
93 P. :
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
هندسة الطيران والفضاء
الناشر
Mohamed Samir Mohamed Kamel Eltahan ,
تاريخ الإجازة
22/6/2018
مكان الإجازة
جامعة القاهرة - كلية الهندسة - Aerospace Engineering
الفهرس
Only 14 pages are availabe for public view

from 152

from 152

Abstract

In this Thesis, Remote sensing AOD data from MODIS , MISR, OMI and SeaWiFS were investigated over the MENA domain and Egypt then Long Term , Spatial and Temporal High Resolution Survey of Atmospheric Aerosols over Egypt With MODIS 10 km resolution were studied as reference to capture the Severe Events over Egypt . two different dust severe events were selected to be simulated using Weather Research and Forecasting model coupled with Chemistry (WRF - Chem) . Testing Performance of different dust schemes in terms of optical properties were performed. Effect of different data assimilation methods (3DVar and 4Dvar) and changing domain setup on dust simulation were shown .Validation of the two simulations were against both satellite data from MODIS 10 Km spatial resolution and Ground observation from aerosol robotic network (AERONET)