Table of Contents
International Journal of Atmospheric Sciences
Volume 2013 (2013), Article ID 241050, 11 pages
http://dx.doi.org/10.1155/2013/241050
Research Article

Heavy Rainfall Simulation over Sinai Peninsula Using the Weather Research and Forecasting Model

1Division of International Research and Development, College of Agriculture, Environment and Nutrition Sciences and College of Engineering, Tuskegee University, Tuskegee, AL 36088, USA
2Astronomy and Meteorology Department, Faculty of Science, Al Azhar University, Cairo 11884, Egypt

Received 8 August 2012; Revised 18 November 2012; Accepted 11 December 2012

Academic Editor: Prodromos Zanis

Copyright © 2013 Gamal El Afandi et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Heavy rainfall is one of major severe weather over Sinai Peninsula and causes many flash floods over the region. The good forecasting of rainfall is very much necessary for providing early warning before the flash flood events to avoid or minimize disasters. In the present study using the Weather Research and Forecasting (WRF) Model, heavy rainfall events that occurred over Sinai Peninsula and caused flash flood have been investigated. The flash flood that occurred on January 18, 2010, over different parts of Sinai Peninsula has been predicted and analyzed using the Advanced Weather Research and Forecast (WRF-ARW) Model. The predicted rainfall in four dimensions (space and time) has been calibrated with the measurements recorded at rain gauge stations. The results show that the WRF model was able to capture the heavy rainfall events over different regions of Sinai. It is also observed that WRF model was able to predict rainfall in a significant consistency with real measurements. In this study, several synoptic characteristics of the depressions that developed during the course of study have been investigated. Also, several dynamic characteristics during the evolution of the depressions were studied: relative vorticity, thermal advection, and geopotential height.