Open AccessAnalysis of a severe weather event over M ecca, K ingdom of S audi A rabia, using observations and high‐resolution modelling
Author(s) -
Dasari Hari Prasad,
Attada Raju,
Knio Omar,
Hoteit Ibrahim
Publication year - 2017
Publication title -
meteorological applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.672
H-Index - 59
eISSN - 1469-8080
pISSN - 1350-4827
DOI - 10.1002/met.1662
Subject(s) - environmental science , climatology , wind speed , orographic lift , storm , meteorology , low pressure area , latent heat , troposphere , atmospheric sciences , convective storm detection , atmospheric pressure , geology , geography , precipitation
The dynamic and thermodynamic characteristics of a severe weather event that caused heavy wind and rainfall over M ecca, K ingdom of S audi A rabia, on 11 S eptember 2015 were investigated using available observations and the W eather R esearch and F orecasting model configured at 1 km resolution. Analysis of surface, upper air observations and model outputs reveals that the event was initiated by synoptic scale conditions that intensified by interaction with the local topography, triggering strong winds and high convective rainfall. The model predicted the observed characteristics of both rainfall and winds well, accurately predicting the maximum wind speed of 20–25 m s −1 that was sustained for about 2 h. A time series analysis of various atmospheric variables suggests a sudden fall in pressure, temperature and outgoing long wave radiation before the development of the storm, followed by a significant increase in wind speed, latent and moisture fluxes and change in wind direction during the mature stage of the storm. The model outputs suggest that the heavy rainfall was induced by a low‐level moisture supply from the R ed S ea combined with orographic lifting. Latent heat release from microphysical processes increased the vertical velocities in the mid‐troposphere, further increasing the low‐level convergence that strengthened the event.