Abstract

Abstract Zonally elongated areas of cloudiness that make up the east Pacific intertropical convergence zone (ITCZ) can take on several configurations in instantaneous observations. A novel statistical model is used to automatically assess the daily state of the east Pacific ITCZ using infrared satellite images from 1980 to 2012. Four ITCZ states are defined based on ITCZ location relative to the equator: north (nITCZ) and south (sITCZ) of the equator, simultaneously north and south of the equator (dITCZ, for double ITCZ), and over the equator (eITCZ). A fifth ITCZ state is used to classify days when no zonally elongated area of cloudiness is present (aITCZ, for absent ITCZ). The ITCZ states can occur throughout the year (except for the eITCZ, which is not present during June–October), with the nITCZ state dominating in terms of frequency of occurrence. Interannual variability of the state distribution is large. The most striking variability in ITCZ states is observed in spring. During March–April, the dITCZ state occurs on average 34% of the time, second only to the nITCZ state (39%). Composites of observed infrared temperature and precipitation by ITCZ state reveal distinct spatial configurations of cloudiness and rainfall. Strong sea surface temperature anomalies are associated only with eITCZ and sITCZ and they correspond to El Niño and La Niña, respectively. However, all five ITCZ states are associated with distinct atmospheric circulation patterns. A connection is found between the ITCZ and the South Pacific convergence zone (SPCZ), such that activity in the SPCZ is enhanced when the ITCZ is absent in the east Pacific.

Highlights

  • The intertropical convergence zone (ITCZ) is a narrow, zonally elongated region of near-surface convergence located near the equator over the oceans, where

  • This paper shows results from applying the statistical model developed in Henke et al (2012) to 3-hourly IR satellite images in the tropical east Pacific during 33 years from 1980 to 2012, focusing in particular on March–April, when there is the greatest variability of ITCZ states

  • January–April is characterized by considerable variability when the ITCZ state changes often and the north of equator ITCZ (nITCZ), double ITCZ (dITCZ), south of equator ITCZ (sITCZ), and aITCZ states all occur frequently

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Summary

15 APRIL 2016

Remote Sensing Laboratories, Department of Geography, University of Zurich, Zurich, Switzerland

Introduction
Connection to the SPCZ
Concluding remarks
Full Text
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