Table of Contents
ISRN Meteorology
Volume 2012, Article ID 679120, 8 pages
Research Article

Sea-Salt Aerosol Mass Concentration Oscillations after Rainfall, Derived from Long-Term Measurements in Lampedusa (Central Mediterranean)

1Department of Geophysical, Atmospheric, and Planetary Sciences, Tel Aviv University, 69978 Tel Aviv, Israel
2Department of Chemistry, University of Florence, 50019 Florence, Italy
3Laboratory for Earth Observations and Analyses, National Agency for New Technologies, Energy, and Economic Sustainable Development, 00123 Rome, Italy

Received 3 February 2012; Accepted 27 February 2012

Academic Editors: V. Amiridis, M. Boy, and P. Zanis

Copyright © 2012 P. Kishcha et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Sea-salt aerosol (SSA) is the dominant contributor to cloud condensation nuclei over ocean areas, where wind speed is significant. Thereby, SSA could affect cloud formation and play an important role in the Earth weather and climate. Rainfall could produce large impact on SSA concentration due to wet removal processes. An analysis of changes in sea-salt aerosol concentration after rainfall is essential for a deeper understanding of the process of SSA loading in the boundary layer. The current experimental study focused on analyzing time variations of SSA mass concentration after rainfall, on the basis of long-term daily SSA measurements during the three-year period 2006–2008, at the tiny Mediterranean island of Lampedusa (Central Mediterranean). To study the effect of rainfall on SSA time variations, we used the superposed epoch method. We applied this approach to differing rainfall events related to different months and atmospheric/sea conditions. Integrated processing was applied to SSA concentration anomalies, in order to filter out random variability. Observational evidence of SSA mass concentration oscillations after rainfall with a maximum on the 2nd day and a minimum on the 4th day was obtained. The knowledge of SSA variations after rainfall is important for validating rainout parameterization in existing sea-salt aerosol and climate models.