Variability in the correlation between satellite-derived liquid cloud droplet effective radius and aerosol index over the northern Pacific Ocean

S. Tan, Z. Han, Biao Wang, G. Shi
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引用次数: 1

Abstract

Abstract The relationship between aerosol index (AI) and cloud effective radius (CER) was examined over five sea regions in the northern Pacific using daily Moderate Resolution Imaging Spectroradiometer data from 2002–2014. The results show that there tends to be a negative relationship between AI and CER at lower AI, becoming positive at higher AI, suggesting the Twomey effect held in low aerosol environment. Over the entire AI range, the correlation between AI and CER was significantly positive over the two marginal seas (the Bohai–Yellow Sea and the Sea of Japan), and it was significantly negative over the three open oceans (the North Pacific subtropical gyre, the western and eastern subarctic North Pacific) for all seasons, except that the correlations in summer were significantly positive over the two subarctic North Pacific regions. A series of statistical analyses showed that the AI–CER relationship (the regression slope) is significantly correlated with relative humidity (RH) and precipitable water vapour (PWV); on average, PWV accounts for 60% of the variance of the slope for the two marginal seas and higher for the three open oceans (79%). The slope can change from negative to positive at high PWV levels, suggesting that water vapour plays an important role in the variability of the slope. Aerosol hygroscopic growth and the growth of CER in humid condition may counteract the Twomey effect at high AI, particularly over the two marginal seas. The error high contribution of the low liquid cloud fraction (LCF) to AI–CER relationship may partially account for the positive slope over the two marginal seas, while the low LCF has a negligible impact on the three open oceans. Additionally, over the three open oceans, stable thermodynamic state may prevent the effect of aerosol on cloud at high AI.
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北太平洋上空卫星衍生液云滴有效半径与气溶胶指数之间相关性的变率
利用2002-2014年北太平洋5个海域的中分辨率成像光谱仪数据,研究了气溶胶指数(AI)与云有效半径(CER)的关系。结果表明:低人工智能与CER呈负相关,高人工智能与CER呈正相关,表明低气溶胶环境存在Twomey效应;在整个AI范围内,除了夏季在两个亚北极北太平洋区域显著正相关外,AI与CER在两个边缘海(渤海-黄海和日本海)呈显著正相关,在三个公海(北太平洋副热带环流、西、东亚北极北太平洋)呈显著负相关,在整个季节在两个亚北极北太平洋区域呈显著正相关。一系列统计分析表明,AI-CER关系(回归斜率)与相对湿度(RH)和可降水量(PWV)呈显著相关;平均而言,两个边缘海的PWV占斜率方差的60%,三个开放海洋的PWV占比更高(79%)。在高PWV水平下,坡度可以由负变为正,这表明水蒸气在坡度的变化中起着重要作用。气溶胶吸湿性增长和湿润条件下CER的增长可能抵消高AI时的Twomey效应,特别是在两个边缘海域。低液云分数(LCF)对AI-CER关系的误差高贡献可以部分解释两个边缘海的正斜率,而低液云分数对三个开放海洋的影响可以忽略不计。另外,在三大洋上空,稳定的热力学状态可能会阻止高人工智能下气溶胶对云的影响。
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