This paper shows the performance of an operational forecasting system, based on the regional atmospheric modeling system (RAMS), at 3 kmhorizontal resolution over southern Italy.Themodel is initialized fromthe 12UTCoperational analysis/forecasting cycle of the European Centre for Medium range Weather Forecasts (ECMWF). The forecast is issued for the following three days. Theperformance is evaluated for a whole year for the surface parameters: temperature, relative humidity, wind speed and direction, and precipitation.The verification has been performed against SYNOP stations over southern Italy. A dense non-GTS network over Calabria is used for precipitation. Results show that RMSE is about 2-3K for temperature, 12-16% for relative humidity, 2.0-2.8m/s for wind speed, and 55-75? for wind direction, the performance varying with the season and with the forecasting time.The error increases between the first and third forecast days. The verification of the rainfall forecast shows that the model underestimates the area of the precipitation. The model output statistics (MOS) is applied to all parameters but precipitation. Results show that the MOS reduces the RMSE by 0-30%, depending on the forecasting time, on the season and on the meteorological parameter.
Verification of a Real Time Weather Forecasting System in Southern Italy
Luca Tiriolo;Rosa Claudia Torcasio;Stefania Montesanti;Stefano Federico
2015
Abstract
This paper shows the performance of an operational forecasting system, based on the regional atmospheric modeling system (RAMS), at 3 kmhorizontal resolution over southern Italy.Themodel is initialized fromthe 12UTCoperational analysis/forecasting cycle of the European Centre for Medium range Weather Forecasts (ECMWF). The forecast is issued for the following three days. Theperformance is evaluated for a whole year for the surface parameters: temperature, relative humidity, wind speed and direction, and precipitation.The verification has been performed against SYNOP stations over southern Italy. A dense non-GTS network over Calabria is used for precipitation. Results show that RMSE is about 2-3K for temperature, 12-16% for relative humidity, 2.0-2.8m/s for wind speed, and 55-75? for wind direction, the performance varying with the season and with the forecasting time.The error increases between the first and third forecast days. The verification of the rainfall forecast shows that the model underestimates the area of the precipitation. The model output statistics (MOS) is applied to all parameters but precipitation. Results show that the MOS reduces the RMSE by 0-30%, depending on the forecasting time, on the season and on the meteorological parameter.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.