Campus Units
Geological and Atmospheric Sciences, Environmental Science, Human Computer Interaction
Document Type
Article
Publication Version
Published Version
Publication Date
1-2018
Journal or Book Title
Atmósfera
Volume
31
Issue
1
First Page
47
Last Page
67
DOI
10.20937/atm.2018.31.01.04
Abstract
This study investigates the synoptic patterns associated with the development of heavy rainfall in five different regions of Saudi Arabia. Different synoptic patterns were derived for the heavy rainfall events using a correlation-based map of pattern classifications applied to 1000 hPa gridded NCEP/UCAR reanalysis data for the period 2000-2014. The study summarizes six major synoptic features and classifies 28 detailed synoptic patterns emerging from 186 cases. The derived synoptic patterns differ significantly at lower levels but are relatively similar at upper levels. Heavy rainfall events were most frequent in winter and then spring, while a small percentage occurred during fall in all the regions of the country. In summer, heavy precipitation was restricted to the southern region, which is influenced by an upslope flow.
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial 4.0 License
Copyright Owner
Universidad Nacional Autónoma de México, Centro de Ciencias de la Atmósfera.
Copyright Date
2018
Language
en, es
File Format
application/pdf
Recommended Citation
Samman, Ahmad E. and Gallus, William A. Jr., "A classification of synoptic patterns inducing heavy precipitation in Saudi Arabia during the period 2000-2014" (2018). Geological and Atmospheric Sciences Publications. 331.
https://lib.dr.iastate.edu/ge_at_pubs/331
Comments
This article is published as Samman, Ahmad E., and William A. Gallus Jr. "A classification of synoptic patterns inducing heavy precipitation in Saudi Arabia during the period 2000-2014." Atmósfera 31, no. 1 (2018): 47-67. DOI: 10.20937/atm.2018.31.01.04. Posted with permission.