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In this paper we study the abilities of an atmospherical mesoscale model inforecasting the classical atmospherical parameters relevant for astronomicalapplications at the surface layer (wind speed, wind direction, temperature,relative humidity) on the Large Binocular Telescope (LBT) site - Mount Graham,Arizona. The study is carried out in the framework of the ALTA project aimingat implementing an automated system for the forecasts of atmosphericalparameters (Meso-Nh code) and the optical turbulence (Astro-Meso-Nh code) forthe service-mode operation of the LBT. The final goal of such an operationaltool is to provide predictions with high time frequency of atmospheric andoptical parameters for an optimized planning of the telescope operation (domethermalization, wind-dependent dome orientation, observation planning based onpredicted seeing, adaptive optics optimization, etc...). Numerical simulationsare carried out with the Meso-Nh and Astro-Meso-Nh codes, which were proven togive excellent results in previous studies focused on the two ESO sites ofCerro Paranal and Cerro Armazones (MOSE Project). In this paper we will focusour attention on the comparison of atmospherical parameters forescasted by themodel close to the ground with measurements taken by the observatoryinstrumentations and stored in the LBT telemetry in order to validate thenumerical predictions. As previously done for Cerro Paranal (Lascaux et al.,2015), we will also present an analysis of the model performances based on themethod of the contingency tables, that allows us to provide complementary keyinformation with the respect to the bias and RMSE (systematic and statisticalerrors), such as the percentage of correct detection and the probability toobtain a correct detection inside a defined interval of values.

Forecasts of the atmospherical parameters close to the ground at the LBT site in the context of the ALTA project