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首页> 外文期刊>Atmospheric environment >Consistency and applicability of parameterization schemes for the size- resolved aerosol activation ratio based on field measurements in the North China Plain
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Consistency and applicability of parameterization schemes for the size- resolved aerosol activation ratio based on field measurements in the North China Plain

机译：基于华北平原野外实测资料的尺寸解析气溶胶活化率参数化方案的一致性和适用性

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摘要

Parameterization of the size-resolved particle activation ratio (AR) is useful for the prediction and analysis of the cloud condensation nuclei (CCN) number concentration (N-CCN). Critical issues for the application of AR parameterizations in models are (1) the consistency of the different parameterization schemes in terms of fitting AR curves and (2) the applicability of the estimate of N-CCN under different aerosol conditions. These issues are discussed in this study based on summertime measurements of the size-resolved AR in the North China Plain. By comparing parameterized AR curves, variations in the fitting parameters and application to N-CCN calculations, the consistency of the three existing parameterization schemes is confirmed. Based on an analysis using representative AR fitting parameters, the method commonly used to calculate N-CCN with a fixed AR was found to be accurate, except during periods affected by strong black carbon (BC) emissions or new particle formation (NPF) events. The N-CCN value was overestimated by approximately 10% when BC aerosol emissions were abundant and deviated from the 1:1 line by 15% during NPF events. The bias of the calculated N-CCN due to these significant emission or aerosol production events cannot be eliminated by using the appropriate representative fitting parameters. Under these circumstances, accurate prediction of N-CCN requires real-time aerosol hygroscopicity data based on CCN measurements. This research furthers our understanding of the relationship between aerosol cloud activation and aerosol spectra.
机译：尺寸分辨颗粒活化率（AR）的参数化可用于云凝结核（CCN）数浓度（N-CCN）的预测和分析。在模型中应用AR参数化的关键问题是（1）就拟合AR曲线而言，不同参数化方案的一致性以及（2）在不同气溶胶条件下估算N-CCN的适用性。在本研究中，基于夏季对华北平原大小分辨AR的测量，讨论了这些问题。通过比较参数化的AR曲线，拟合参数的变化以及在N-CCN计算中的应用，证实了三个现有参数化方案的一致性。基于使用代表性AR拟合参数进行的分析，发现通常用于计算具有固定AR的N-CCN的方法是准确的，除了在受到强烈黑碳（BC）排放或新颗粒形成（NPF）事件影响的时期内。当BC气溶胶排放量丰富并且在NPF事件期间偏离1：1线15％时，N-CCN值被高估了大约10％。通过使用适当的代表性拟合参数，无法消除由于这些明显的排放或气溶胶产生事件而导致的计算得出的N-CCN偏差。在这种情况下，要准确预测N-CCN，需要基于CCN测量值的实时气溶胶吸湿性数据。这项研究使我们进一步了解了气溶胶云活化与气溶胶光谱之间的关系。

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