Examination of the Relationship Between Macrosynoptic Patterns and Analog Forecasting of Aviation Meteorology

Abstract

The majority of forecast products of aviation meteorology have ultra-short or short time validity. The typical refresh period of traditional numerical weather prediction (NWP) models applied in aviation meteorological support is 6 to 12 hours. This fact valorizes the role of observational data from the internal periods. This is especially true in case of upper air measurements due to their emphasized importance in aviation meteorology. Unfortunately, routine radiosonde measurements are not adjusted to users’ needs neither spatially nor in time. Application of automated weather reports from Aircraft Meteorological Data Relay system (AMDAR) may benefit because of the reasons above. In this paper we examined the utilization of these types of data. In parallel, we verified the accuracy and reliability of AMDAR information by the mean of comparison of acoustic radar (SODAR) data. Considering the difficulties of the measuring procedures, we can declare that the application of this information can be an efficient tool in the process of producing and verifying aviation meteorology forecasts.