Sea-Salt Aerosol Forecasts Over the Mediterranean Sea Evaluated by Daily Measurements in Lampedusa from 2006 to 2010

Pavel Kishcha*, Boris Starobinets, Roberto Udisti, Silvia Becagli, Alcide di Sarra, Slobodan Nickovic, Pinhas Alpert

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review


Detailed knowledge of sea-salt aerosol (SSA) space-time variations is essential for a deeper understanding of the process of SSA loading in the atmospheric boundary layer. In order to reproduce variability of SSA concentrations over the Mediterranean Sea, the regional DREAM-Salt model has been running daily at Tel-Aviv University since February 2006 ( The model performance in producing accurate SSA forecasts over the Mediterranean Sea was evaluated using a 5-year record (2006-2010) of daily SSA mass concentration measurements at the island of Lampedusa. Model-vs.-measurement comparisons showed a distinct dependence of model performance on wind direction. On average, for wind direction from 30° to 300°, the model performance was quite acceptable. It was characterized by a relatively high correlation of over 0.65 and a rather small mean bias. For north winds (0°-30°, and 300°-360°), some discrepancy between modeled and measured SSA concentrations was observed. This was characterized by the model underestimation of SSA measurements and a rather low correlation between model data and measurements. Probably, for north winds, SSA production in the surf zone, located in the vicinity of the monitoring site, contributed to observed SSA concentrations.

Original languageEnglish
Title of host publicationAir Pollution Modeling and its Application XXII
EditorsDouw Steyn, Peter Builtjes, Renske Timmermans
PublisherDordrecht: Springer Netherlands
Number of pages2
ISBN (Print)9789400755765
StatePublished - 2013

Publication series

NameNATO Science for Peace and Security Series C: Environmental Security
ISSN (Print)1874-6519


  • Aerosol modeling
  • Marine aerosol
  • Sea-salt aerosol forecast


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