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Imprint of the convective parameterization and sea-surface temperature on large-scale convective self-aggregation

机译:对流参数化和海面温度对大规模对流自聚集的印记

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摘要

Radiative-convective equilibrium simulations with the general circulation model ECHAM6 are used to explore to what extent the dependence of large-scale convective self-aggregation on sea-surface temperature (SST) is driven by the convective parameterization. Within the convective parameterization, we concentrate on the entrainment parameter and show that large-scale convective self-aggregation is independent of SST when the entrainment rate for deep convection is set to zero or when the convective parameterization is removed from the model. In the former case, convection always aggregates very weakly, whereas in the latter case, convection always aggregates very strongly. With a non-trivial representation of convective entrainment, large-scale convective self-aggregation depends non-monotonically on SST. For SSTs below 295 K, convection is more aggregated the smaller the SST because large-scale moisture convergence is relatively small, constraining convective activity to regions with high wind-induced surface moisture fluxes. For SSTs above 295 K, convection is more aggregated the higher the SST because entrainment is most efficient in decreasing updraft buoyancy at high SSTs, amplifying the moisture-convection feedback. When halving the entrainment rate, convection is less efficient in reducing updraft buoyancy, and convection is less aggregated, in particular at high SSTs. Despite most early work on self-aggregation highlighted the role of non-convective processes, we conclude that convective self-aggregation and the global climate state are sensitive to the convective parameterization.
机译:利用常规环流模型ECHAM6进行的辐射对流平衡模拟,探讨了对流参数化在多大程度上对了大规模对流自聚集对海面温度(SST)的依赖性。在对流参数化中,我们集中在夹带参数上,表明当深对流的夹带率设置为零或从模型中删除对流参数化时,大规模对流自聚集与SST无关。在前一种情况下,对流总是聚集非常弱,而在后一种情况下,对流总是聚集非常强。通过对流夹带的非平凡表示,大规模对流自聚集非单调地依赖于SST。对于低于295 K的SST,SST越小,对流聚集的越多,因为大规模的水汽汇聚相对较小,从而将对流活动限制在风致表面湿气通量较高的区域。对于高于295 K的SST,SST越高,对流越聚集,因为夹带在降低高SST时最有效的降低上浮浮力,从而放大了水分对流反馈。当将夹带率减半时,对流在降低上升气流的浮力方面效率较低,并且对流的聚集较少,特别是在高SST时。尽管大多数关于自聚集的早期工作都强调了非对流过程的作用,但我们得出的结论是,对流自聚集和全球气候状况对对流参数化很敏感。

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