The use of automated feature extraction for diagnosing double inter-tropical convergence zones

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.