Title :
The wind and temperature information of AMDAR data applying to the analysis of severe weather nowcasting of airport
Author :
Yuan Zhou ; Ming Wei ; Zhoujie Cheng ; Yinghui Ning ; Linlin Qi
Author_Institution :
Atmos. Remote Sensing Sci. & Technol., Nanjing Univ. of Inf. Sci. & Technol., Nanjing, China
Abstract :
Strong convection is the important weather phenomenon impacting the flight safety, always causes sudden changes of meteorological elements. AMDAR data is of high resolution on spatial and temporal, which can provide vital information for the short-term forecast of strong convection weather in the airport terminal area. This paper extracts the three-dimensional vertical wind profiles and temperature profiles, and produces the wind shear warning analysis diagram in the horizontal and vertical direction. The case studied in this paper is a strong convection at April 2011 in Guangdong Province, AMDAR data, together with multi-source information such as radar, satellite and air sounding is analyzed. The study has found that with high resolution spatial and temporal AMDAR data, wind and temperature disturbance information could reveal the motion of wind shear and turbulence in the airport, so that the unique observational basis for protecting the aircraft´s take-off and landing safety is provided.
Keywords :
atmospheric temperature; weather forecasting; wind; 3D vertical wind profiles; AD 2011 04; AMDAR data; Guangdong province; aircraft landing safety; aircraft take-off; airport severe weather nowcasting analysis; airport terminal area; convection weather; meteorological elements; strong convection; temperature disturbance information; temperature information; temperature profiles; weather phenomenon; wind disturbance information; wind information; wind shear motion; wind shear warning analysis diagram; Aircraft; Airports; Temperature distribution; Wind forecasting; Wind speed;
Conference_Titel :
Information Science and Technology (ICIST), 2013 International Conference on
Conference_Location :
Yangzhou
Print_ISBN :
978-1-4673-5137-9
DOI :
10.1109/ICIST.2013.6747706