TY - GEN
T1 - Development of a three-dimensional aviation unusual weather detection system based on the use of ADS-B 1090MHz data
AU - Peng, Hao Wei
AU - Jan, Shau Shiun
N1 - Publisher Copyright:
© 2016 by Institute of Navigation. All right reserved.
PY - 2016
Y1 - 2016
N2 - Unusual weather conditions, such as low level wind shear, downdraft and clear-air turbulence, are potential hazards for aviation operations. The current aviation unusual weather detection systems used around airports utilize several ground-based meteorological monitoring stations to observe the weather information. However, these systems, such as of the low level wind shear alert system (LLWAS), can only detect the unusual weather near the ground surface level. It is thus necessary to improve current aviation unusual weather detection systems. In this paper we propose using aircraft ADS-B Mode-S ES data to develop a vertical weather profile to augment the current aviation unusual weather detection system, and by doing so all aircrafts with ADS-B systems can serve as our weather sensors in the air, and thus a three-dimensional aviation unusual weather detection system can be established. As a result, the objective of this work is the evaluation of the correlation between the decoded ADS-B data and the unusual weather conditions. This paper first conducts the necessary transformations of the decoded ADS-B data to the weather parameters. After these transformations and adjustments of the parameters derived from ADS-B Mode-S ES data, their feasibilities for use with the unusual weather detection algorithms are analyzed. In addition, the abnormal movements of the aircraft observed from the decoded ADS-B data might be interpreted as possible turbulence. Therefore, the observed abnormal movements of aircraft are validated using the turbulence alert messages from pilot reports. Finally, the results of using a three-dimensional aviation unusual weather detection system prototype based on the ADS-B data are presented in this paper.
AB - Unusual weather conditions, such as low level wind shear, downdraft and clear-air turbulence, are potential hazards for aviation operations. The current aviation unusual weather detection systems used around airports utilize several ground-based meteorological monitoring stations to observe the weather information. However, these systems, such as of the low level wind shear alert system (LLWAS), can only detect the unusual weather near the ground surface level. It is thus necessary to improve current aviation unusual weather detection systems. In this paper we propose using aircraft ADS-B Mode-S ES data to develop a vertical weather profile to augment the current aviation unusual weather detection system, and by doing so all aircrafts with ADS-B systems can serve as our weather sensors in the air, and thus a three-dimensional aviation unusual weather detection system can be established. As a result, the objective of this work is the evaluation of the correlation between the decoded ADS-B data and the unusual weather conditions. This paper first conducts the necessary transformations of the decoded ADS-B data to the weather parameters. After these transformations and adjustments of the parameters derived from ADS-B Mode-S ES data, their feasibilities for use with the unusual weather detection algorithms are analyzed. In addition, the abnormal movements of the aircraft observed from the decoded ADS-B data might be interpreted as possible turbulence. Therefore, the observed abnormal movements of aircraft are validated using the turbulence alert messages from pilot reports. Finally, the results of using a three-dimensional aviation unusual weather detection system prototype based on the ADS-B data are presented in this paper.
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U2 - 10.33012/2016.13435
DO - 10.33012/2016.13435
M3 - Conference contribution
AN - SCOPUS:84978895688
T3 - Institute of Navigation International Technical Meeting 2016, ITM 2016
SP - 564
EP - 572
BT - Institute of Navigation International Technical Meeting 2016, ITM 2016
PB - The Institute of Navigation
T2 - Institute of Navigation International Technical Meeting 2016, ITM 2016
Y2 - 25 January 2016 through 28 January 2016
ER -