The Role of Relative Humidity in Estimating Cloud Condensation Nuclei Number Concentration Through Aerosol Optical Data: Mechanisms and Parameterization Strategies
Year: 2025
Type: article
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%).
Source: Geophysical Research Letters
DOI: 10.1029/2024gl112734
Language: English
Subfield: Global and Planetary Change
Field: Environmental Science
Domain: Physical Sciences
SDG: Climate action
Open Access status: gold
Estimated APC paid: $3,190
Awards: G4330682825, G6896346887
OpenAlex ID: W4409584452
