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
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