The Role of Relative Humidity in Estimating Cloud Condensation Nuclei Number Concentration Through Aerosol Optical Data: Mechanisms and Parameterization Strategies
Yuying Wang, Rui Zhang, Nan Wang, Jialu Xu, Junhui Zhang, Chen Cui, Chunsong Lu, Bin Zhu, Yele Sun, Yannian Zhu
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引用次数: 0
Abstract
The number concentration of cloud condensation nuclei (NCCN) is vital for quantifying aerosol-cloud interactions. Estimating NCCN using aerosol optical properties is essential for obtaining continuous NCCN data. This study highlights the significant impact of relative humidity (RH) on NCCN estimation through aerosol optical data, especially at low supersaturations (SS). When RH exceeds a threshold (e.g., 60% at 0.2% SS), NCCN estimation shifts from underestimation to overestimation, with the overestimation degree increasing with RH. Including RH in the estimation formula can effectively reduce this bias, although the aerosol optical hygroscopicity parameter is found to have a minimal effect on NCCN estimation. Based on these insights, a new parameterization scheme for NCCN estimation is proposed, which can significantly reduce NCCN estimation bias when using wet aerosol optical data at high RH levels (40%–90%).
期刊介绍:
Geophysical Research Letters (GRL) publishes high-impact, innovative, and timely research on major scientific advances in all the major geoscience disciplines. Papers are communications-length articles and should have broad and immediate implications in their discipline or across the geosciences. GRLmaintains the fastest turn-around of all high-impact publications in the geosciences and works closely with authors to ensure broad visibility of top papers.