Abstract

This study investigates the causes of the double intertropical convergence zone (ITCZ) bias, characterized by too northward northern Pacific ITCZ, too dry equatorial Pacific, and too zonally elongated southern Pacific rainband. While the biases within one fully coupled model GFDL CM2.1 are examined, the large-scale bias patterns are broadly common to CMIP5/6 models. We disentangle the individual contribution of regional sea surface temperature (SST) biases to the double-ITCZ bias pattern using a series of slab ocean model experiments. A previously suggested Southern Ocean warm bias effect in displacing the zonal-mean ITCZ southward is manifested in the northern Pacific ITCZ while having little contribution to the zonally elongated wet bias south of the equatorial Pacific. The excessive southern Pacific precipitation is instead induced by the warm bias along the west coast of South America. The Southern Ocean bias effect on the zonal-mean ITCZ position is diminished by the neighboring midlatitude bias of opposite sign in GFDL CM2.1. As a result, the northern extratropical cold bias turns out to be most responsible for a southward-displaced zonal-mean ITCZ. However, this southward ITCZ displacement results from the northern Pacific branch, so ironically fixing the extratropical biases only deteriorates the northern Pacific precipitation bias. Thus, we emphasize that the zonal-mean diagnostics poorly represent the spatial pattern of the tropical Pacific response. Examination of longitude-latitude structure indicates that the overall tropical precipitation bias is mostly locally driven from the tropical SST bias. While our model experiments are idealized with no ocean dynamics, the results shed light on where preferential foci should be applied in model development to improve particular features of tropical precipitation bias.

Highlights

  • Climate models’ fidelity in projecting the future climate relies on their ability to accurately simulate the mean climate state (Shukla et al 2006)

  • We respectively measure the degree of change in each component using the equatorial precipitation index ( ), defined as the equatorial (2°S-2°N) precipitation divided by the tropical mean (20°S-20°N) subtracted from unity (Adam et al 2016), and the precipitation centroid ( ), defined as the centroid latitude that renders an equal areaintegrated precipitation from 20°S to 20°N (Frierson and Hwang 2012)

  • A large negative bias in TRO is due to the negative equatorial QBIAS by design (Figures 1b and S3) since the symmetric component is related to NEI0 (Figure 3a)

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Summary

Introduction

Climate models’ fidelity in projecting the future climate relies on their ability to accurately simulate the mean climate state (Shukla et al 2006). The symmetric component is characterized by excessive precipitation off the equator and deficient equatorial precipitation (Lin 2007), linked to the biases in net energy input (NEI) to the atmospheric column in the equatorial region (Adam et al 2016; Bischoff and Schneider 2016), owing to the erroneous ocean heat uptake associated with the equatorial upwelling (Kim et al 2021). With regard to intermodel uncertainty, the hemispherically anti-symmetric component of double-ITCZ bias is tied to the tropical asymmetry in net surface heat flux estimated from their corresponding Atmospheric Model Intercomparison Project (AMIP) simulations (Xiang et al 2017)

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