research, the influence of wind on track prediction is theoretically described, or the
wind speed and wind direction are assumed in the form of vector diagrams. Simple
modeling: Since the above method cannot accurately obtain the real data of the
meteorological department, the effect of the four-dimensional track prediction is not
convincing. Therefore, it is particularly important to model the track prediction wind
information and to use the meteorological model covering the wind information as an
independent module to participate in the construction of the track prediction model. By
analyzing the meteorological data in GRIB format, this paper realizes the storage of the
specific wind data in the form of database, and then in the process of track prediction,
real-time reading and calculation can effectively improve the accuracy of 4D track
prediction.
2 Format and Processing of Wind Data
2.1 Wind Data Format
The European Center for Medium Range Weather Forecasts (ECMWF) provides
meteorological information on a global scale, and its numerical forecast is currently at a
high level in the world and has a high use value. The meteorological data provided by
ECMWF can be selected according to the isobaric surface, that is, the numerical
information under different levels is found. The meteorological information is stored in
the file in the GRIB data type, and the forecasting center updates the data every 6 h.
The GRIB code [7] is a computer-independent compressed binary code used primarily to represent numerical weather analysis and product forecast data. For highspeed communication links using modern communication protocols, GRIB is an
effective tool for delivering large volumes of gridded data. By packaging and compressing various related data into GRIB codes, the information is organized much more
compactly than the character-based form, thus facilitating the storage of data and
speeding up the transfer between computers.
2.2 Wind Data Processing
GRIB is an effective tool for a large number of gridded data. The global positioning of
meteorological information is determined by grid points, and the grid position is
uniquely represented by latitude and longitude. The process of obtaining wind data in a
certain area has the following four steps:
(1) Select the required weather data. Select the data of the upper air pressure layer,
including the date, time (0, 6, 12, 18 h), wind component, required pressure layer,
etc., where the time is UTC time.
(2) Crop the area. Select the meteorological data of a certain area of the world, and
determine the north–south area by the latitude range, and determine the east–west
area by the longitude range.
(3) Determine the unit grid span. The data is defined at 0.75° Â 0.75° latitude and
longitude spans, you can also customize the grid span to the required accuracy.
Application of GRIB Data for 4D Trajectory Prediction
423
wind speed and wind direction are assumed in the form of vector diagrams. Simple
modeling: Since the above method cannot accurately obtain the real data of the
meteorological department, the effect of the four-dimensional track prediction is not
convincing. Therefore, it is particularly important to model the track prediction wind
information and to use the meteorological model covering the wind information as an
independent module to participate in the construction of the track prediction model. By
analyzing the meteorological data in GRIB format, this paper realizes the storage of the
specific wind data in the form of database, and then in the process of track prediction,
real-time reading and calculation can effectively improve the accuracy of 4D track
prediction.
2 Format and Processing of Wind Data
2.1 Wind Data Format
The European Center for Medium Range Weather Forecasts (ECMWF) provides
meteorological information on a global scale, and its numerical forecast is currently at a
high level in the world and has a high use value. The meteorological data provided by
ECMWF can be selected according to the isobaric surface, that is, the numerical
information under different levels is found. The meteorological information is stored in
the file in the GRIB data type, and the forecasting center updates the data every 6 h.
The GRIB code [7] is a computer-independent compressed binary code used primarily to represent numerical weather analysis and product forecast data. For highspeed communication links using modern communication protocols, GRIB is an
effective tool for delivering large volumes of gridded data. By packaging and compressing various related data into GRIB codes, the information is organized much more
compactly than the character-based form, thus facilitating the storage of data and
speeding up the transfer between computers.
2.2 Wind Data Processing
GRIB is an effective tool for a large number of gridded data. The global positioning of
meteorological information is determined by grid points, and the grid position is
uniquely represented by latitude and longitude. The process of obtaining wind data in a
certain area has the following four steps:
(1) Select the required weather data. Select the data of the upper air pressure layer,
including the date, time (0, 6, 12, 18 h), wind component, required pressure layer,
etc., where the time is UTC time.
(2) Crop the area. Select the meteorological data of a certain area of the world, and
determine the north–south area by the latitude range, and determine the east–west
area by the longitude range.
(3) Determine the unit grid span. The data is defined at 0.75° Â 0.75° latitude and
longitude spans, you can also customize the grid span to the required accuracy.
Application of GRIB Data for 4D Trajectory Prediction
423