TY - GEN
T1 - Multi-angle Asymmetric Coplanar Analysis Technology for Three-dimensional Wind Field Retrieval Using the Shipborne Weather Radar
AU - Dong, Xichao
AU - Li, Man
AU - Hu, Jiaqi
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Typhoons and other disaster weather have long development cycles and are extremely destructive. Three-dimensional (3D) wind field retrieval is crucial to understanding the internal kinematics and dynamics of severe weather and predicting its evolution and tracking. The stratospheric airship is large in size, can fly at high altitudes, and has a long time in the air. It is very suitable for complete observations of weather systems with long development cycles. However, the flying speed of airships is slow, and the traditional fixed elevation angle symmetrical coplanar technology is no longer applicable. Therefore, it is very necessary to conduct the 3D wind field retrieval research under airship platforms. The paper proposes a multi-angle asymmetric coplanar analysis technology (MA-ASCAT) model suitable for shipborne weather radar, and compares the performance with the traditional method. It initially verifies the feasibility of the method and provides a theoretical basis for further research.
AB - Typhoons and other disaster weather have long development cycles and are extremely destructive. Three-dimensional (3D) wind field retrieval is crucial to understanding the internal kinematics and dynamics of severe weather and predicting its evolution and tracking. The stratospheric airship is large in size, can fly at high altitudes, and has a long time in the air. It is very suitable for complete observations of weather systems with long development cycles. However, the flying speed of airships is slow, and the traditional fixed elevation angle symmetrical coplanar technology is no longer applicable. Therefore, it is very necessary to conduct the 3D wind field retrieval research under airship platforms. The paper proposes a multi-angle asymmetric coplanar analysis technology (MA-ASCAT) model suitable for shipborne weather radar, and compares the performance with the traditional method. It initially verifies the feasibility of the method and provides a theoretical basis for further research.
KW - MA-ASCAT
KW - shipborne weather radar
KW - three-dimensional wind field retrieval
UR - https://www.scopus.com/pages/publications/86000003160
U2 - 10.1109/ICSIDP62679.2024.10868807
DO - 10.1109/ICSIDP62679.2024.10868807
M3 - Conference contribution
AN - SCOPUS:86000003160
T3 - IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024
BT - IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024
Y2 - 22 November 2024 through 24 November 2024
ER -