High Resolution RAMS Implementation On Apulia Region And Forecast Fields Validation By Comparison With Ground Observations
Abstract
A forecasting system has been implemented for operational forest fire hazard prediction over Apulia region (Italy) in the framework of an agreement between Geophysical Applications Processing (Polytechnic of Bari) and Apulia Region Civil Protection. The modelling chain, composed of a limited area model for weather forecasting and a model based on Fire Weather Index, has been executed during the whole summer season June-September 2009 and validated by comparison with available meteorological observations and fire occurrence data. In this paper the validation results of weather forecasting module are presented. Atmospheric fields prediction has been performed by the Regional Atmospheric Modeling System (RAMS), in a two nested grids configuration with the inner grid resolution at 4km. The atmospheric boundary and initial conditions were obtained from GFS data available every 6h with 0.5° resolution. Vertical discretization consisted of a 30-level stretched vertical coordinate with a 50m spacing near the surface increasing gradually up to 1200m near the model top at 19000m. The Kuo convective parameterization scheme has been activated on both grids and the full package for microphysics has been used with a single-moment bulk scheme. In the present work the validation of precipitation and temperature forecast fields is discussed. The validation criteria were based on the comparison with rain gauges and thermometer observations: in both cases measurements from regional Civil Protection thermo-pluviometric monitoring network have been employed. The tests conducted show a generally satisfactory RAMS model performance and forecast values in a good agreement with ground measurements. Currently, there is a sperimentation (in the context of recent research projects funded by Italian Space Agency) of further applications of the model with reference to atmospheric correction estimation in the development of advanced processing techniques for focusing of COSMO-SkyMed data and interferometric DEM generation.
Autore Pugliese
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Franco Intini , G. Amoruso , CHIARADIA M.T. , R. Corbino , Francesca Intini , G. Tedeschi , K. Tijani
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2011
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