El Niño southern-oscillation prediction using southern oscillation index and Niño3 as onset indicators: Application of artificial neural networks

Journal of Environmental Engineering and Science

Volumn 4, Issue 2, 2005, Pages 113-121

  Baawain, Mahad S ^a   Nour, Mohamed H ^a   El Din, Ahmed G ^b   El Din, Mohamed Gamal ^a  

^a UNIVERSITY OF ALBERTA   (Canada)

^b HNTB CORPORATION   (United States)

Author keywords

Artificial neural networks; Cllimate anomalies; El Ni o; ENSO; La Ni a; Ni o3; Southern oscillation index (SOI); Teleconnections

Indexed keywords

ATMOSPHERIC PRESSURE; CLIMATE CHANGE; DISASTERS; DROUGHT; ECONOMIC AND SOCIAL EFFECTS; ECOSYSTEMS; FIRES; FLOODS; HURRICANES; INDICATORS (INSTRUMENTS); MATHEMATICAL MODELS; NEURAL NETWORKS; OSCILLATIONS; TEMPERATURE DISTRIBUTION;

CLIMATIC ANOMALIES; EL NIÑO; EL NIÑO SOUTHERN OSCILLATION (ENSO); LA NIÑA; NĨO3; SOUTHERN OSCILLATION INDEX (SOI); TELECONNECTIONS;

WEATHER FORECASTING;

EID: 20544448454     PISSN: 14962551     EISSN: None     Source Type: Journal    
DOI: 10.1139/s04-047     Document Type: Article

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