Extreme precipitation events are becoming less frequent but more intense over Jeddah, Saudi Arabia. Are shifting weather regimes the cause?
KAUST DepartmentBiological and Environmental Sciences and Engineering (BESE) Division
Earth Fluid Modeling and Prediction Group
Earth Science and Engineering Program
Physical Science and Engineering (PSE) Division
Red Sea Research Center (RSRC)
Online Publication Date2020-05-11
Print Publication Date2020-08
Permanent link to this recordhttp://hdl.handle.net/10754/662816
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AbstractThis study analyses the connection between extreme rainfall events in Jeddah, Saudi Arabia, and synoptic-scale weather patterns over the Arabian Peninsula. Mean rainfall follows a decreasing trend; however, the number of rainy days has increased. Interestingly, extreme rainfall is becoming less frequent but shows an increased intensity. Here we utilize self-organizing maps (SOMs) to identify the weather patterns of the most intense rainy days and the synoptic systems causing extreme rainfall in the Jeddah region. Three main weather patterns that cause heavy rainfall events over Jeddah during the cooler months (November–April) are identified, all reflect tropical-extratropical interactions. Extreme events in the early period (1979–1998) are characterized by a stronger tropical influence and local precipitation patterns, while a stronger extratropical forcing and higher extreme rainfall amounts are spotted in the late period (1999–2018). Our results suggest that in recent decades, the mechanism causing extreme rainfall over the city of Jeddah has shifted toward a weather regime with stronger extratropical influence.
CitationLuong, T. M., Dasari, H. P., & Hoteit, I. (2020). Extreme precipitation events are becoming less frequent but more intense over Jeddah, Saudi Arabia. Are shifting weather regimes the cause? Atmospheric Science Letters. doi:10.1002/asl.981
SponsorsThis work was funded by the Office of Sponsored Research(OSR) at King Abdullah University of Science and Tech-nology (KAUST) under the Competitive Research Grants(CRG) program Grant # URF/1/3706-01-01. We acknowl-edge all data providers that made their datasets available for this study. The comments from anonymous reviewers substantially improved the quality of the manuscript.
JournalAtmospheric Science Letters
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