Da Silva Nicolas A, Muller Caroline, Shamekh Sara, Fildier Benjamin
Complexity and Climate, Leibniz Centre for Tropical Marine Research Bremen Germany.
Laboratoire de Météorologie Dynamique (LMD)/Institut Pierre Simon Laplace (IPSL) École Normale Supérieure Paris Sciences & Lettres (PSL) Research University Sorbonne Université École Polytechnique CNRS Paris France.
J Adv Model Earth Syst. 2021 Nov;13(11):e2021MS002607. doi: 10.1029/2021MS002607. Epub 2021 Nov 18.
This work explores the effect of convective self-aggregation on extreme rainfall intensities through an analysis at several stages of the cloud lifecycle. In addition to increases in 3-hourly extremes consistent with previous studies, we find that instantaneous rainrates increase significantly (+30%). We mainly focus on instantaneous extremes and, using a recent framework, relate their increase to increased precipitation efficiency: the local increase in relative humidity drives larger accretion efficiency and lower re-evaporation. An in-depth analysis based on an adapted scaling for precipitation extremes reveals that the dynamic contribution decreases (-25%) while the thermodynamic is slightly enhanced (+5%) with convective self-aggregation, leading to lower condensation rates. When the atmosphere is more organized into a moist convecting region and a dry convection-free region, deep convective updrafts are surrounded by a warmer environment which reduces convective instability and thus the dynamic contribution. The moister boundary-layer explains the positive thermodynamic contribution. The microphysic contribution is increased by +50% with aggregation. The latter is partly due to reduced evaporation of rain falling through a moister near-cloud environment, but also to the associated larger accretion efficiency. Thus, a potential change in convective organization regimes in a warming climate could lead to an evolution of tropical precipitation extremes significantly different than that expected from thermodynamical considerations. The relevance of self-aggregation to the real tropics is still debated. Improved fundamental understanding of self-aggregation, its sensitivity to warming and connection to precipitation extremes, is hence crucial to achieve accurate rainfall projections in a warming climate.
这项工作通过对云生命周期几个阶段的分析,探讨了对流自聚集对极端降雨强度的影响。除了与先前研究一致的每3小时极端降雨增加外,我们还发现瞬时降雨率显著增加(+30%)。我们主要关注瞬时极端情况,并使用最近的一个框架,将其增加与降水效率的提高联系起来:局部相对湿度的增加推动了更大的吸积效率和更低的再蒸发。基于对极端降水的适应性尺度进行的深入分析表明,随着对流自聚集,动力贡献减少(-25%),而热力贡献略有增强(+5%),导致凝结率降低。当大气更有组织地分为一个潮湿对流区域和一个无干对流区域时,深厚对流上升气流被更温暖的环境包围,这降低了对流不稳定性,从而减少了动力贡献。更潮湿的边界层解释了热力贡献为正的原因。聚集使微物理贡献增加了+50%。后者部分是由于降雨在更潮湿的近云环境中下落时蒸发减少,也归因于相关的更大吸积效率。因此,变暖气候中对流组织模式的潜在变化可能导致热带极端降水的演变与热力学考虑所预期的有显著不同。自聚集与真实热带地区的相关性仍存在争议。因此,更好地从根本上理解自聚集、其对变暖的敏感性以及与极端降水的联系,对于在变暖气候中实现准确的降雨预测至关重要。