5:15 PM - 7:15 PM
[ACG54-P02] Preliminary Study and Environment Construction for Extracting Weather Information under a Typhoon around Okinawa Using Aircraft Track Data
Keywords:Aircraft Track Data, CARAT Open Data, Typhoon
Okinawa Prefecture has many islands scattered over a vast sea area stretching approximately 1,000 km from east to west and 400 km from north to south. In addition, typhoons approach the Prefecture more frequently than other prefectures, and severe weather causes cancellations and delays of public transportation services, greatly affecting transportation within the prefecture. The storms and weather conditions caused by approaching typhoons limit the operation of ships, and airplanes are the only means of transporting goods and people to remote islands. For example, according to Ito et al. (Front. Earth Sci., 10, 1058262, 2022.), more than 10,000 airplane flights have been observed within 100 km of the center of a typhoon.
Based on these backgrounds, our group has conducted research to obtain local meteorological information, such as the occurrence of turbulence, from aircraft position information to contribute to predicting the path and intensity of typhoons. In this study, as a preliminary step of the research, we extract the necessary aircraft location information and convert it into flight path data to compare the paths of planes taking off and landing at Naha Airport in years when a typhoon approached Okinawa Prefecture and in years when it did not. Then, we report on our investigation of whether the presence or absence of a typhoon causes differences in track data.
Figure 1 shows the paths of typhoons treated in this study. The typhoon in Fig. 1 occurred in September 2016 and can be seen approaching from the west side of the main island of Okinawa Prefecture. The number in the figure is the date, which in this study is 17 September, when the typhoon approached the island, and the minimum pressure was the lowest. The images in Fig. 1 were taken from the website “Digital Typhoon” and added to the images. Figure 2 shows the track data extracted from the location information of airplanes corresponding to this figure. The track data is based on CARATS Open Data provided by the Ministry of Land, Infrastructure, Transport, and Tourism, and is limited to Boeing 737-400s operating both outside the prefecture and on remote islands within the prefecture at the time. The data for September 17, 2015. was also used for comparison when no typhoon was approaching.
Figure 2 shows that there is no data for landings on Ishigaki Island in 2016, the year of the typhoon. The reason is thought to be flight cancellations due to the typhoon. In addition, the landing paths at Naha Airport were observed in a northerly course when a typhoon was approaching. However, they took the opposite course is observed when there was no typhoon. The track data is scattered over the area from Oshima Island to the main island of Okinawa Prefecture in the Nansel Islands when a typhoon occurs. It is thought that the planes are landing from the south of Naha airport because their flight paths are disrupted by the presence of the typhoon. The above results of this study show that the aircraft track data provides information on the location of airplanes depending on the presence or absence of a typhoon. However, it was found during the discussion that the sampling time interval is too large to extract weather information from the CARTAT Open Data. Currently, we will construct an environment that can directly receive ADS-B signals and link it to a signal sharing service (Filghtrader24) to obtain aircraft position information over a wide area with short sampling time intervals for more precise analysis of the track data.
Based on these backgrounds, our group has conducted research to obtain local meteorological information, such as the occurrence of turbulence, from aircraft position information to contribute to predicting the path and intensity of typhoons. In this study, as a preliminary step of the research, we extract the necessary aircraft location information and convert it into flight path data to compare the paths of planes taking off and landing at Naha Airport in years when a typhoon approached Okinawa Prefecture and in years when it did not. Then, we report on our investigation of whether the presence or absence of a typhoon causes differences in track data.
Figure 1 shows the paths of typhoons treated in this study. The typhoon in Fig. 1 occurred in September 2016 and can be seen approaching from the west side of the main island of Okinawa Prefecture. The number in the figure is the date, which in this study is 17 September, when the typhoon approached the island, and the minimum pressure was the lowest. The images in Fig. 1 were taken from the website “Digital Typhoon” and added to the images. Figure 2 shows the track data extracted from the location information of airplanes corresponding to this figure. The track data is based on CARATS Open Data provided by the Ministry of Land, Infrastructure, Transport, and Tourism, and is limited to Boeing 737-400s operating both outside the prefecture and on remote islands within the prefecture at the time. The data for September 17, 2015. was also used for comparison when no typhoon was approaching.
Figure 2 shows that there is no data for landings on Ishigaki Island in 2016, the year of the typhoon. The reason is thought to be flight cancellations due to the typhoon. In addition, the landing paths at Naha Airport were observed in a northerly course when a typhoon was approaching. However, they took the opposite course is observed when there was no typhoon. The track data is scattered over the area from Oshima Island to the main island of Okinawa Prefecture in the Nansel Islands when a typhoon occurs. It is thought that the planes are landing from the south of Naha airport because their flight paths are disrupted by the presence of the typhoon. The above results of this study show that the aircraft track data provides information on the location of airplanes depending on the presence or absence of a typhoon. However, it was found during the discussion that the sampling time interval is too large to extract weather information from the CARTAT Open Data. Currently, we will construct an environment that can directly receive ADS-B signals and link it to a signal sharing service (Filghtrader24) to obtain aircraft position information over a wide area with short sampling time intervals for more precise analysis of the track data.