Popp Max, Lutsko Nicholas J, Bony Sandrine
Laboratoire de Météorologie Dynamique (LMD/IPSL), Sorbonne Université, Centre National de la Recherche Scientifique (CNRS), École Polytechnique, École Normale Supérieure Paris France.
Scripps Institution of Oceanography University of California, San Diego La Jolla CA USA.
Geophys Res Lett. 2020 Nov 28;47(22):e2020GL090479. doi: 10.1029/2020GL090479. Epub 2020 Nov 21.
Strong links are seen in observations between convective clustering and several properties of the Intertropical Convergence Zone (ITCZ). These links suggest that biases in how climate models simulate the ITCZ may be related to model biases in convective clustering or that there may be biases in how models represent the relationship between clustering and the ITCZ. We investigate these issues by analyzing convective clustering, and the link between clustering and ITCZ properties in 18 climate models. We find that the links between variability in convective clustering and variability of ITCZ properties are generally weaker and less robust in models than in observations. By contrast, model biases in the climatological convective clustering explain a substantial fraction of the climatological double-ITCZ bias, though they do not explain biases in the climatological ITCZ width.
在对热带辐合带(ITCZ)的对流聚类与若干特性之间的观测中发现了紧密联系。这些联系表明,气候模式模拟ITCZ的方式存在的偏差可能与对流聚类方面的模式偏差有关,或者模式在表示聚类与ITCZ之间的关系时可能存在偏差。我们通过分析18个气候模式中的对流聚类以及聚类与ITCZ特性之间的联系来研究这些问题。我们发现,与观测结果相比,对流聚类变率与ITCZ特性变率之间的联系在模式中通常更弱且更不稳定。相比之下,气候学对流聚类中的模式偏差解释了很大一部分气候学双ITCZ偏差,尽管它们无法解释气候学ITCZ宽度方面的偏差。