Author(s)

Elenio Avolio, S. Federico, A.M Sempreviva, C.R Calidonna, L. De Leo, C Bellecci

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A four-dimensional data assimilation (FDDA) scheme based on a Newtonian relaxation (or “nudging”) was tested using observational asynoptic data collected at a coastal site in the Central Mediterranean peninsula of Calabria, southern Italy. The study is referred to an experimental campaign carried out in summer 2008. For this period a wind profiler, a sodar and two surface meteorological stations were considered. The collected measurements were used for the FDDA scheme, and the technique was incorporated into a tailored version of the Regional Atmospheric Modeling System (RAMS). All instruments are installed and operated routinely at the experimental field of the CRATI-ISAC/CNR located at 600 m from the Tyrrhenian coastline. Several simulations were performed, and the results show that the assimilation of wind and/or temperature data, both throughout the simulation time (continuous FDDA) and for a 12 h time window (forecasting configuration), produces improvements of the model performance. Considering a whole single day, improvements are sub-stantial in the case of continuous FDDA while they are smaller in the case of forecasting configuration. En-hancements, during the first six hours of each run, are generally higher. The resulting meteorological fields are finalised as input into air quality and agro-meteorological models, for short-term predictions of renew-able energy production forecast, and for atmospheric model initialization.

Data Assimilation, Short Term Forecast, Mesoscale Model Performance

E. Avolio, S. Federico, A. Sempreviva, C. Calidonna, L. Leo and C. Bellecci, "Preliminary Meteorological Results of a Four-Dimensional Data Assimilation Technique in Southern Italy," Atmospheric and Climate Sciences, Vol. 1 No. 3, 2011, pp. 134-141. doi: 10.4236/acs.2011.13015.