文章基本信息

标题：Large-scale controls of propagation of the Madden-Julian Oscillation
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作者：Xianan Jiang ; Eric Maloney ; Hui Su 等
期刊名称：npj Climate and Atmospheric Science
电子版ISSN：2397-3722
出版年度：2022
卷号：5
期号：1
页码：1-8
DOI：10.1038/s41612-020-00134-x
语种：English
出版社：Nature Publishing Group
摘要：With widespread influence on global climate and weather extremes, the Madden-Julian Oscillation (MJO) plays a crucial role in subseasonal prediction. Our latest global climate models (GCMs), however, have great difficulty in realistically simulating the MJO. This model inability is largely due to problems in representation of MJO’s cumulus organization. This study, based on a series of idealized aqua-planet model experiments using an atmospheric-only GCM, clearly demonstrates that MJO propagation is strongly modulated by the large-scale background state in which the lower-tropospheric mean moisture gradient and zonal winds are critical. Therefore, when tuning climate models to achieve improved MJO simulations, particular attention needs to be placed on the model large-scale mean state that is also significantly affected by cumulus parameterizations. This study indicates that model biases in representing MJO propagation may be related to the widely reported double-ITCZ (intertropical convergence zone) problem in climate models.