An Evaluation of Cloud-Precipitation Structures in Mixed-Phase Stratocumuli Over the Southern Ocean in Kilometer-Scale ICON Simulations During CAPRICORN

IF 3.8 2区 地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES Journal of Geophysical Research: Atmospheres Pub Date : 2024-09-14 DOI:10.1029/2022JD038251
Veeramanikandan Ramadoss, Kevin Pfannkuch, Alain Protat, Yi Huang, Steven Siems, Anna Possner
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Abstract

A persistent shortwave radiative bias of Southern Ocean (SO) clouds in climate models is strongly associated with incorrect cloud phase representation, which impacts precipitation. Measurements characterizing precipitation in low-level mixed-phase clouds, which frequently form over the SO, are rare, and our understanding of precipitation efficacy within these clouds remains limited. The simulated surface precipitation bias has an indirect effect on determining global climate sensitivity and a direct impact on the hydrological cycle. This study investigates the representation of low clouds, cloud variability, and precipitation statistics over the SO in real-case Icosahedral Nonhydrostatic (ICON) simulations at the kilometer scale. The simulations are contrasted with 48 hr of continuous shipborne observations of open and closed-cell stratocumuli, south of Tasmania. Our simulations show the significance of heavily rimed particle formation, their in-cloud growth, and subcloud melting to capture the observed cloud-precipitation vertical structure. In addition, supercooled drizzle formation impacts the vertical structure and precipitation statistics. ICON captures the observed intermittency of precipitation even at a standard vertical resolution of 200 m in the boundary layer but only captures the observed sparse distribution of intense precipitation (>1 mm hr−1) when the maximum vertical resolution is reduced to 100 m. However, the simulations of the 2-day accumulated precipitation and the radiative effect are largely insensitive to the vertical resolution. The cloud reflectivity of the broken cloud deck is underestimated due to negative biases in cloud optical depth.

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南大洋上空混合相层积物中的云-沉淀结构在北极星期间的千米级 ICON 模拟中的评估
气候模式中南大洋(SO)云持续存在的短波辐射偏差与错误的云相表示密切相关,而错误的云相表示会影响降水。对经常在南大洋上空形成的低层混合相云中降水特征的测量非常罕见,我们对这些云中降水功效的了解仍然有限。模拟地表降水偏差对确定全球气候敏感性有间接影响,对水文循环也有直接影响。本研究调查了在千米尺度的二十面体非流体静力学(ICON)实况模拟中低云层、云层变率和 SO 上降水统计的代表性。模拟结果与塔斯马尼亚南部 48 小时连续船载观测的开放和闭合层积云进行了对比。我们的模拟结果表明,重边缘颗粒的形成、它们在云中的生长以及云下融化对于捕捉观测到的云-降水垂直结构具有重要意义。此外,过冷细雨的形成也会影响垂直结构和降水统计。即使在边界层的标准垂直分辨率为 200 米时,ICON 也能捕捉到观测到的降水间歇性,但当最大垂直分辨率降低到 100 米时,ICON 只能捕捉到观测到的强降水稀疏分布(1 毫米/小时-1)。由于云光学深度的负偏差,破碎云层的云反射率被低估了。
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来源期刊
Journal of Geophysical Research: Atmospheres
Journal of Geophysical Research: Atmospheres Earth and Planetary Sciences-Geophysics
CiteScore
7.30
自引率
11.40%
发文量
684
期刊介绍: JGR: Atmospheres publishes articles that advance and improve understanding of atmospheric properties and processes, including the interaction of the atmosphere with other components of the Earth system.
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