Impact of Seawater Biological Activity on Sea Spray Aerosols (SSA) Number Concentration and Cloud Properties in WRF-Chem—Case Studies on the Southern Ocean

IF 3.8 2区 地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES
C. Rose, S. Banson, C. Planche, A. Lupascu, R. Salignat, J. Delanoë, J. Uitz, F. Peyrin, F. Donnadieu, C. Law, K. Sellegri
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Abstract

Sea spray is a large source of cloud condensation nuclei (CCN) over remote oceans, still the dependence of its emission number flux on marine biology is not often represented in models and is subject to high uncertainty. We implemented a recently developed parameterization which relates the number flux of sea spray aerosols to nanophytoplankton cell abundances in the mesoscale model WRF-Chem and evaluated the impact on the prediction of sea spray aerosols (SSA) number concentrations and cloud properties over the Southern Ocean. Compared to SSA concentrations simulated using the whitecap function available in the model, the use of a function derived from recent observations in the Southern Ocean leads to a decrease in predicted SSA number concentrations (by ∼46%–47% over the domain); this further translates into a decrease in the cloud droplet number concentrations and a decrease (respectively an increase) of the liquid cloud water path (CWP) and rain water path (RWP). A strong increase in SSA number concentrations is predicted when the influence of marine biota is taken into account (by 172%–343%), with a concurrent clear increase of the number of cloud droplets and a subsequent increase (decrease) of the CWP (RWP). Detailed comparison of model outputs and measurements further demonstrates that accounting for the role of marine biological activity is essential to predict more realistic SSA number concentrations and spatio-temporal variability. Comparisons of modeled vertical profiles of CWP and RWP with remote sensing measurements are also ameliorated with the account of marine biology.

南大洋WRF-Chem-Case研究中海水生物活性对海洋喷雾气溶胶(SSA)数量、浓度和云性质的影响
海雾是遥远海洋上云凝结核(CCN)的一个重要来源,但其排放数通量对海洋生物学的依赖性在模式中通常不表现出来,并且具有很高的不确定性。我们在中尺度模式WRF-Chem中实现了最近开发的一种参数化方法,该方法将海洋喷雾气溶胶的数量通量与纳米浮游植物细胞丰度联系起来,并评估了其对南大洋海洋喷雾气溶胶(SSA)数量浓度和云特性预测的影响。与使用模式中可用的白帽函数模拟的SSA浓度相比,使用来自南大洋最近观测的函数导致预测的SSA数浓度下降(在整个区域内下降约46%-47%);这进一步转化为云滴数浓度的减少和液云水路径(CWP)和雨水路径(RWP)的减少(分别增加)。当考虑到海洋生物群的影响时,预计SSA数浓度将大幅增加(增加172%-343%),同时云滴数明显增加,CWP (RWP)随之增加(减少)。对模式输出和测量结果的详细比较进一步表明,考虑海洋生物活动的作用对于预测更现实的SSA数浓度和时空变异性至关重要。模拟的CWP和RWP垂直剖面与遥感测量的比较也随着海洋生物学的考虑而得到改善。
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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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