DocumentCode :
1201830
Title :
Modeling El Nino: a force behind world weather
Author :
Gorder, P.F.
Volume :
7
Issue :
1
fYear :
2005
Firstpage :
5
Lastpage :
7
Abstract :
Today, scientists can predict the Earth´s climate months ahead of time. A new synergy between two competing analysis methods, statistical and dynamic, is helping push forecasts out even further. To truly be able to predict accurate forecasts years into the future, however, scientist must began accurately forecasting the weather phenomenon El Nino.
Keywords :
El Nino Southern Oscillation; climatology; geophysics computing; statistical analysis; weather forecasting; Earth climate months; El Nino modeling; climate modeling; computer forecasting system; dynamic analysis; statistical analysis; weather forecasting; weather phenomenon; world weather; Atmospheric modeling; Computational modeling; Inductors; Ocean temperature; Physics; Power engineering computing; Predictive models; Production; Snow; Weather forecasting; El Nino; climate modeling; computer forecasting system;
fLanguage :
English
Journal_Title :
Computing in Science & Engineering
Publisher :
ieee
ISSN :
1521-9615
Type :
jour
DOI :
10.1109/MCSE.2005.19
Filename :
1377068
Link To Document :
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