Aerosol effects on deep convective cloud (DCC) have been recognized as one of the complex subjects in climatic studies because of the difficulty in quantifying the sole effect of aerosols on DCC. The complexity further arises if the atmosphere has very strong temporal and spatial variations such as that of Indo-Pacific Warm Pool (IPWP) region. Considering the strong influence of IPWP region on global climate change and water circulation, we investigated aerosol effects on DCC over this region by using data of 2015-2016 El Niño and the 2017-2018 La Niña events. We developed a spectral analysis based framework to identify and decouple the influences of major external factors on aerosol-DCC relationship. We found that temporal variations of aerosols, clouds, and meteorology longer than 2 days' time scale can have larger influences than their diurnal and spatial variations on aerosol-DCC relationship. By removing the effects of those spatial and temporal variations of different scales, the study suggests that aerosols of IPWP region can affect DCC properties with time lags less than ∼5 hours and by increasing cloud-top height, cloud coverage, and DCC number concentration with the increase of aerosols.

由于难以量化气溶胶对DCC的唯一影响，因此对深对流云（DCC）的气溶胶作用已被认为是气候研究中的复杂课题之一。如果大气具有非常强烈的时空变化（例如印度太平洋暖池（IPWP）区域），那么复杂性就会进一步增加。考虑到IPWP地区对全球气候变化和水循环的强烈影响，我们使用2015-2016年厄尔尼诺现象和2017-2018年拉尼娜事件的数据调查了该地区DCC的气溶胶效应。我们开发了基于光谱分析的框架，以识别和分离主要外部因素对气溶胶-DCC关系的影响。我们发现气溶胶，云和气象的时间变化超过2天 时间尺度对气溶胶-DCC关系的影响比其日变化和空间变化要大。通过消除那些不同尺度的时空变化的影响，该研究表明IPWP区域的气溶胶可以影响DCC的性质，时滞小于5小时，并且可以通过增加云顶高度，云层覆盖和DCC数浓度来影响。气溶胶的增加。