SciELO - Scientific Electronic Library Online

 
vol.31 número1Influence of initial soil moisture and vegetation conditions on monsoon precipitation events in northwest MéxicoInfluences of boundary layer phenomena and meteorology on ambient air quality status of an urban area in eastern India índice de autoresíndice de assuntospesquisa de artigos
Home Pagelista alfabética de periódicos  

Serviços Personalizados

Journal

Artigo

Indicadores

Links relacionados

  • Não possue artigos similaresSimilares em SciELO

Compartilhar


Atmósfera

versão impressa ISSN 0187-6236

Resumo

SAMMAN, Ahmad E.  e  GALLUS JR., William A.. A classification of synoptic patterns inducing heavy precipitation in Saudi Arabia during the period 2000-2014. Atmósfera [online]. 2018, vol.31, n.1, pp.47-67. ISSN 0187-6236.  https://doi.org/10.20937/atm.2018.31.01.04.

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.

Palavras-chave : Heavy rainfall; Synoptic classification; Saudi Arabia; Red Sea; Trough.

        · resumo em Espanhol     · texto em Inglês     · Inglês ( pdf )