New Critical Length for the Onset of Self‐Aggregation of Moist Convection

New Critical Length for the Onset of Self‐Aggregation of Moist Convection
复制标题

湿对流自聚集开始的新临界长度

DOI:
10.1029/2020gl088763
复制
发表时间:
2020
影响因子:
5.2
通讯作者:
Tomita Hirofumi
Tomita Hirofumi
中科院分区:
地球科学1区
文献类型:
--
作者:
Yanase Tomoro;Nishizawa Seiya;Miura Hiroaki;Takemi Tetsuya;Tomita Hirofumi

文献摘要

参考文献

相似文献

理想模型框架中的对流自聚集(CSA)是理解云的作用的关键。为了研究CSA开始的特征长度的存在性,我们进行了系统的云解析模拟,其范围涵盖了水平域的大小和分辨率。在高分辨率模拟中,CSA可以在大于~500 km的平方域内发生。基于两个近地表水平发散流的竞争,讨论了特征长度的存在性。沉降区辐射冷却诱导的流动对水汽扰动具有正反馈作用,且随区域尺度变化而变化;对流区降雨蒸发冷却诱导的流动具有负反馈作用,且不随区域尺度变化而变化。该研究表明,即使在现实世界条件下,湿对流组织的特征长度也存在。
Convective self‐aggregation (CSA) in an idealized modeling framework is key to understanding the role of clouds. To investigate the existence of characteristic length of CSA onset, we conducted systematic cloud‐resolving simulations, with a scope covering the horizontal domain size and resolution. In the high‐resolution simulation, CSA can occur with a square domain larger than ~500 km. Based on the competition between two near‐surface horizontal divergent flows, we discuss the characteristic length existence. While the flow induced by radiative cooling in the subsidence region acts as positive feedback for moisture perturbation and scales with the domain size, the other flow induced by evaporative cooling of falling rain in the convective region acts as negative feedback and does not scale. The study suggests characteristic length existence for the organization of moist convection, even in real‐world conditions.
DOI: 10.1016/0169-8095(94)90006-x
发表时间: 1994-04
影响因子: 5.5
作者:
D. Randall;Q. Hu;Kuan Xu;S. Krueger
通讯作者: D. Randall;Q. Hu;Kuan Xu;S. Krueger
辐射对流平衡中积云统计的分辨率依赖性
DOI: --
发表时间: 2014
期刊:
影响因子: --
作者:
Katrin Scheufele
通讯作者: Katrin Scheufele
DOI: 10.1029/2019ms001820
发表时间: 2019
影响因子: 6.8
作者:
J. Windmiller;C. Hohenegger
通讯作者: C. Hohenegger
数值模拟中的对流自聚集:综述
DOI: 10.1007/s10712-017-9408-4
发表时间: 2017
影响因子: 4.6
作者:
A. Wing;K. Emanuel;C. Holloway;C. Muller
通讯作者: C. Muller
DOI: 10.1007/s40641-019-00120-3
发表时间: 2019
影响因子: 9.5
作者:
Wing, Allison A.
通讯作者: Wing, Allison A.