Comparison of JMA Numerical Prediction GPV Meteorological Data and Airliner Flight Data

Abstract

Flight trajectory optimization as well as trajectory based operations is considered as a key concept of future air traffic control system. Now, one of the significant subjects is to clarify the accuracy of numerical weather data such as wind speed or wind direction, which is used for calculation of flight trajectory optimization and trajectory prediction. In this study, the accuracy evaluation of numerical prediction GPV (Grid Point Value) data published from JMA (Japan Meteorological Agency) is assumed to be possible by comparing with flight data provided from an airline company. Accuracy of static air temperature and wind speed of GSM (Global Spectral Model) and MSM (Meso-Scale Model) weather data are evaluated and measured by RMSE (Root Mean Square Error). The analysis shows that temperature and wind RMSE of GSM and MSM initial time data are less than 2 degrees and 5 m/s respectively. It is also revealed that forecast data of GSM provides greater precision than MSM by referring to the obtained RMSE.