Verification of meteorological forecasts of three basic quantities

One of the main aspects of the development of a meteorological model is the verification its reliability. It allows to know the behaviour of the model in different weather situations and to assess its performances in terms of both average and extremes. The verification helps to figure out how to tune the model in order to have better results. The quantitative prediction of precipitation and relative humidity (related to the onset of fungal pathogens and other diseases) has a fundamental role in agriculture and therefore its verification becomes particularly relevant. Aim of this study was to compare daily precipitation, relative humidity, and temperature data forecasted by the model at 2, 3, 4,... 7 days, for the year 2015, with data from the agrometeorological station of the University of Bologna in Cadriano (BO). The forecast data were compared with measurements collected at the station. Statistical indexes useful for assessing the model performances showed a good performance for the temperatures, quite good for precipitation and relative humidity.