Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6383824 | Deep Sea Research Part I: Oceanographic Research Papers | 2012 | 10 Pages |
Abstract
⺠To identify and forecast the strength of dominant modes of IOD events is highly desirable. ⺠Daily time series of dipole mode index (DMI) is derived from remotely sensed SST observations. ⺠Observed DMI time series is decomposed into its intrinsic modes using the EMD technique. ⺠For dominant IOD modes, a forecasting rule is given to predict the peak SST anomalies (strength). ⺠An extended-range forecast model is proposed using the growth rate of SST anomalies.
Keywords
Related Topics
Physical Sciences and Engineering
Earth and Planetary Sciences
Geology
Authors
Suneet Dwivedi,