Internal processes within the African Easterly Wave system

2014 ◽  
Vol 141 (689) ◽  
pp. 1121-1136 ◽  
Author(s):  
D. Emmanuel Poan ◽  
Jean-Philippe Lafore ◽  
Romain Roehrig ◽  
Fleur Couvreux
Keyword(s):  
Wave System ◽  
African Easterly Wave ◽  
Easterly Wave

Future characteristics of African Easterly Wave tracks

2018 ◽  
Vol 52 (9-10) ◽  
pp. 5567-5584
Author(s):  
Allison Lynn Brannan ◽  
Elinor R. Martin
Keyword(s):  
African Easterly Wave ◽  
Easterly Wave

scholarly journals The interaction between moist diabatic processes and the atmospheric circulation in African Easterly Wave propagation

2017 ◽  
Vol 143 (709) ◽  
pp. 3207-3227 ◽  
Author(s):  
Lorenzo Tomassini ◽  
Douglas J. Parker ◽  
Alison Stirling ◽  
Caroline Bain ◽  
Catherine Senior ◽  
...  
Keyword(s):  
Wave Propagation ◽  
Atmospheric Circulation ◽  
African Easterly Wave ◽  
Easterly Wave ◽  
Diabatic Processes

scholarly journals Meteorological Analysis of Floods in Ghana

2020 ◽  
Vol 2020 ◽  
pp. 1-14 ◽  
Author(s):  
S. O. Ansah ◽  
M. A. Ahiataku ◽  
C. K. Yorke ◽  
F. Otu-Larbi ◽  
Bashiru Yahaya ◽  
...  
Keyword(s):  
Heavy Rainfall ◽  
Wrf Model ◽  
Extreme Rainfall ◽  
Economic Loss ◽  
Daily Maximum ◽  
Maximum Rainfall ◽  
African Easterly Wave ◽  
Easterly Wave ◽  
Forest Region ◽  
National Disaster

The first episodes of floods caused by heavy rainfall during the major rainy season in 2018 occurred in Accra (5.6°N and 0.17°W), a coastal town, and Kumasi (6.72°N and 1.6°W) in the forest region on the 18th and 28th of June, respectively. We applied the Weather Research and Forecasting (WRF) model to investigate and examine the meteorological dynamics, which resulted in the extreme rainfall and floods that caused 14 deaths, 34076 people being displaced with damaged properties, and economic loss estimated at $168,289 for the two cities according to the National Disaster Management Organization (NADMO). The slow-moving thunderstorms lasted for about 8 hours due to the weak African Easterly Wave (AEW) and Tropical Easterly Jet (TEJ). Results from the analysis showed that surface pressures were low with significant amount of moisture influx aiding the thunderstorms intensification, which produced 90.1 mm and 114.6 mm of rainfall over Accra and Kumasi, respectively. We compared the rainfall amount from this event to the historical rainfall data to investigate possible changes in rainfall intensities over time. A time series of annual daily maximum rainfall (ADMR) showed an increasing trend with a slope of 0.45 over Accra and a decreasing trend and a slope of –0.07 over Kumasi. The 95th percentile frequencies of extreme rainfall with thresholds of 45.10 mm and 42.16 mm were analyzed for Accra and Kumasi, respectively, based on the normal distribution of rainfall. Accra showed fewer days with more heavy rainfall, while Kumasi showed more days with less heavy rainfalls.

scholarly journals Genesis of Hurricane Julia (2010) within an African Easterly Wave: Developing and Nondeveloping Members from WRF–LETKF Ensemble Forecasts

2014 ◽  
Vol 71 (7) ◽  
pp. 2763-2781 ◽  
Author(s):  
Stefan F. Cecelski ◽  
Da-Lin Zhang ◽  
Takemasa Miyoshi
Keyword(s):  
Surface Pressure ◽  
Mesoscale Convective System ◽  
Convective System ◽  
Ensemble Forecasts ◽  
Upper Troposphere ◽  
African Easterly Wave ◽  
Easterly Wave ◽  
Mesoscale Convective ◽  
Rossby Radius Of Deformation ◽  
Faster Development

Abstract In this study, the predictability of and parametric differences in the genesis of Hurricane Julia (2010) are investigated using 20 mesoscale ensemble forecasts with the finest resolution of 1 km. Results show that the genesis of Julia is highly predictable, with all but two members undergoing genesis. Despite the high predictability, substantial parametric differences exist between the stronger and weaker members. Notably, the strongest-developing member exhibits large upper-tropospheric warming within a storm-scale outflow during genesis. In contrast, the nondeveloping member has weak and more localized warming due to inhibited convective development and a lack of a storm-scale outflow. A reduction in the Rossby radius of deformation in the strongest member aids in the accumulation of the warmth, while little contraction takes place in the nondeveloping member. The warming in the upper troposphere is responsible for the development of meso-α-scale surface pressure falls and a meso-β surface low in the strongest-developing member. Such features fail to form in the nondeveloping member as weak upper-tropospheric warming is unable to induce meaningful surface pressure falls. Cloud ice content is nearly doubled in the strongest member as compared to its nondeveloping counterparts, suggesting the importance of depositional heating of the upper troposphere. It is found that the stronger member undergoes genesis faster due to the lack of convective inhibition near the African easterly wave (AEW) pouch center prior to genesis. This allows for the faster development of a mesoscale convective system and storm-scale outflow, given the already favorable larger-scale conditions.

scholarly journals Intermittent African Easterly Wave Activity in a Dry Atmospheric Model: Influence of the Extratropics

2011 ◽  
Vol 24 (20) ◽  
pp. 5378-5396 ◽  
Author(s):  
Stephanie Leroux ◽  
Nicholas M. J. Hall ◽  
George N. Kiladis
Keyword(s):  
Storm Track ◽  
Atmospheric Model ◽  
Convective Heating ◽  
African Easterly Waves ◽  
Easterly Waves ◽  
Global Circulation ◽  
African Easterly Jet ◽  
African Easterly Wave ◽  
The North ◽  
Easterly Wave

Abstract A dynamical model is constructed of the northern summertime global circulation, maintained by empirically derived forcing, based on the same dynamical code that has recently been used to study African easterly waves (AEWs) as convectively triggered perturbations (Thorncroft et al.; Leroux and Hall). In the configuration used here, the model faithfully simulates the observed mean distributions of jets and transient disturbances, and explicitly represents the interactions between them. This simple GCM is used to investigate the origin and intraseasonal intermittency of AEWs in an artificially dry (no convection) context. A long integration of the model produces a summertime climatology that includes a realistic African easterly jet and westward-propagating 3–5-day disturbances over West Africa. These simulated waves display intraseasonal intermittency as the observed AEWs also do. Further experiments designed to discern the source of this intermittency in the model show that the simulated waves are mainly triggered by dynamical precursors coming from the North Atlantic storm track. The model is at least as sensitive to this remote influence as it is to local triggering by convective heating.

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