Simulating Mixed-Phase Clouds Over Coastal Antarctica During a Significant Snowfall Event in a High-Resolution Regional Model

IF 3.8 2区 地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES
Zhangcheng Pei, Sonya L. Fiddes, Marc D. Mallet, Simon P. Alexander, Kalli Furtado, Greg Roff, Alain Protat, Adrian McDonald, W. John R. French
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Abstract

Global climate models and reanalysis products have revealed large, persistent downwelling shortwave radiation biases over the Southern Ocean and coastal Antarctica, likely caused by the incapability of models to accurately simulate frequent low-level mixed-phase clouds in these regions. In this study, we use the ground-based observations collected at Davis, Antarctica during the Precipitation over Land and The Southern Ocean field campaign in austral summer of 2019 to assess the capability of the high-resolution regional Unified Model (UM) to reproduce precipitating clouds off coastal Antarctica. We test the new UM RAL3 (Regional Atmosphere and Land 3) configuration with double-moment Cloud AeroSol Interacting Microphysics scheme and bimodal cloud fraction scheme, running at the spatial resolution of 1.5-km. We compare it to the previous RA2M configuration with a single-moment cloud microphysics scheme and unimodal cloud fraction scheme. The RAL3 exhibits marginally degraded meteorological conditions relative to RA2M compared with observations. For cloud properties, the UM regional models can generally simulate the phase, vertical structure and timing of events during the sublimation and precipitation periods. Nevertheless, overestimated ice water path and potentially underestimated liquid water path (LWP) contribute to positive surface shortwave biases and negative longwave biases. The RA2M simulates more LWP, though we suggest for the wrong reasons due to its ice nucleating parameterization. Our results suggest that the new double-moment cloud microphysics combined with bimodal cloud fraction parameterizations, while having reduced performance in some respects, has large potential to better represent low-level mixed phase clouds for this region.

在高分辨率区域模式中模拟重大降雪事件期间南极洲沿海地区的混合相云
全球气候模式和再分析产品显示,在南大洋和南极洲沿海地区存在较大的持续下行的短波辐射偏差,这可能是由于模式无法准确模拟这些地区频繁出现的低层混合相云造成的。在本研究中,我们利用2019年南部夏季陆地降水和南大洋野外活动期间在南极洲戴维斯收集的地面观测数据,评估高分辨率区域统一模型(UM)重现南极洲沿海降水云的能力。我们使用双矩云气溶胶相互作用微物理方案和双峰云分数方案,在1.5 km空间分辨率下测试了新的UM RAL3(区域大气和陆地3)配置。我们将其与具有单矩云微物理方案和单峰云分数方案的先前RA2M配置进行比较。与观测结果相比,RAL3的气象条件相对RA2M略有退化。对于云的性质,UM区域模式一般可以模拟升华和降水期间事件的相位、垂直结构和时间。然而,高估的冰水路径和潜在低估的液态水路径(LWP)会导致正的地表短波偏差和负的长波偏差。RA2M模拟了更多的LWP,尽管我们认为由于其冰核参数化的错误原因。我们的研究结果表明,新的双矩云微物理与双峰云分数参数化相结合,虽然在某些方面性能有所降低,但有很大的潜力更好地表征该地区的低层混合相云。
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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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