The impacts of secondary ice production on microphysics and dynamics in tropical convection
The impacts of secondary ice production on microphysics and dynamics in tropical convection
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DOI：
10.5194/acp-22-12287-2022
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发表时间：
2022-09
影响因子：
6.3
通讯作者：
Z. Qu;A. Korolev;J. Milbrandt;I. Heckman;Yongjie Huang;M. Greg;McFarquhar;H. Morrison;M. Wolde;Cuong Nguyen
中科院分区：
文献类型：
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作者：
Z. Qu;A. Korolev;J. Milbrandt;I. Heckman;Yongjie Huang;M. Greg;McFarquhar;H. Morrison;M. Wolde;Cuong Nguyen
摘要。二次产冰是一种重要的物理现象，它会导致冰粒子浓度的增加，从而对云的演变产生重大影响。本文采用高分辨率（水平网格间距为250 m）中尺度模式和详细的整体微物理方案对中尺度对流系统（MCS）进行了理想模拟，以研究SIP对模拟热带MCS微物理和动力学的影响。模拟结果与2015年“高海拔冰晶-高冰水含量”（HAIC-HIWC）野外活动期间收集的空中原位和遥感观测结果进行了比较。研究发现，观测到的高冰数浓度只能通过包含SIP过程的模式来模拟。在微物理方案中包含SIP过程对于热带对流中观测到的高冰水含量的产生和维持至关重要。结果表明，SIP可以增强现有对流上升气流的强度，并导致熔融层上方新的上升气流的产生。模拟和观测之间的一致性突出了SIP对热带MCSs维持的影响，以及在模式中包括SIP参数化的重要性。
Abstract. Secondary ice production (SIP) is an important physical phenomenon that results in an increase in the ice particle concentration and can therefore have a significant impact on the evolution of clouds. In this study, idealized simulations of a mesoscale convective system (MCS) were conducted using a high-resolution (250 m horizontal grid spacing) mesoscale model and a detailed bulk microphysics scheme in order to examine the impacts of SIP on the microphysics and dynamics of a simulated tropical MCS. The simulations were compared to airborne in situ and remote sensing observations collected during the “High Altitude Ice Crystals – High Ice Water Content” (HAIC-HIWC) field campaign in 2015. It was found that the observed high ice number concentration can only be simulated by models that include SIP processes. The inclusion of SIP processes in the microphysics scheme is crucial for the production and maintenance of the high ice water content observed in tropical convection. It was shown that SIP can enhance the strength of the existing convective updrafts and result in the initiation of new updrafts above the melting layer. Agreement between the simulations and observations highlights the impacts of SIP on the maintenance of tropical MCSs in nature and the importance of including SIP parameterizations in models.