| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 507557 | Computers & Geosciences | 2012 | 4 Pages |
Abstract
We develop an automated and user-trained algorithm that spatially analyzes satellite data and detects the presence of double inter-tropical convergence zones (DITCZ) and apply it to 30 years worth of satellite collected outgoing long-wave radiation data. The analysis of the data via vertical wavelet transform identifies DITCZ occurrences over the Indian Ocean in the last three decades.
► We develop an automated, user-trained algorithm to spatially analyze satellite data. ► The algorithm detects the presence of double inter-tropical convergence zones (DITCZ). ► We apply algorithm to 30 years of satellite outgoing long wave radiation data. ► Analysis via wavelet transform identifies previously undiagnosed Indian Ocean DITCZs.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Andrew Geiss, Gad Levy,