PUMA
Istituto di Scienze Marine     
Balzarini A., Pirovano G., Riva G. M., Toppetti A., Bozzano R., Pensieri S., Canepa E., Schiano E. WRF evaluation exercise using open sea in situ measurements and land coastal data. In: HARMO14 - 14th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes (Kos Island, Greece, 2-6 October 2011). Proceedings, pp. 335 - 339. Environmental Technology Laboratory, Department of Mechanical Engineering, University of West Macedonia, Greece, 2011.
 
 
Abstract
(English)
The quality of the prediction of the atmospheric transport and dispersion of toxic, hazardous materials and pollutants strongly depends on the assimilated atmospheric forcing and in particular on the wind field. In coastal regions, another important factor for correctly predicting the pollutant levels is the precise quantification of the sea aerosol particles formed predominantly by the action of the wind on the ocean surface. Indeed, acting as a cloud condensation nuclei to form cloud drops, exchanging gases with the atmosphere and engaging other reactions, scattering lights and exchange moisture with the atmosphere, sea aerosol plays a fundamental role in the Earth's weather and climate regulation. Despite its importance, no continuous and long term monitoring of this parameter is available and the measurements performed during dedicated campaigns are extremely scarce and spotted. As a consequence, sea aerosol trends are only predicted by simulations whose skill and precision rely on the atmospheric forcing fields used to initialise and drive the model. The "Research on Energy Systems" (RSE S.p.A.) implemented the model system WRF-SMOKE-CAMx in order to simulate both concentration and deposition of pollutants in Italy. In particular, the Weather Research and Forecasting (WRF) model was used for modeling the meteorological fields, the SMOKE model was selected to process the emission inventory and the CAMx was selected as the chemical and transport model to simulate different control scenarios. The paper addresses an analysis of an overall WRF model performance of two versions (WRF-ARW 3.0 and WRF-ARW 3.2.1) in the Ligurian coastal region carried out by comparing model outputs against observations at five different monitoring sites, four along the coast and one in the open ocean. The new parameterizations introduced in the 3.2.1 version of the WRF model contribute to improve the overall skill of temperature and wind speed although, for both the model releases, the limited spatial resolution of the model doesn't allow a satisfactory reproduction of the wind field due to the particular orography of the enclosed Ligurian basin. Nonetheless, the analysis evidences the feasibility of using the WRF model outputs as conditioning meteorological fields for estimating the sea aerosol emissions in the open sea.
Subject model evaluation
WRF-ARW model
Ligurian Sea
coastal data
buoy data


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