Please wait a minute...
Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering)  2012, Vol. 13 Issue (10): 723-746    DOI: 10.1631/jzus.A1100245
Aeronautical Meteorology Engineering     
Improving the wind and temperature measurements of an airborne meteorological measuring system
Stephen Foster, P. W. Chan
Aventech Research Inc., Barrie, ON L4N 2E3, Canada; Hong Kong Observatory, Kowloon, Hong Kong, China
Download:     PDF (0 KB)     
Export: BibTeX | EndNote (RIS)      

Abstract  The Aircraft Integrated Meteorological Measuring System 20 Hz (AIMMS-20) has been used by the Hong Kong Observatory (HKO), China in data collection for tropical cyclone situations over the South China Sea and windshear and turbulence measurement at the Hong Kong International Airport (HKIA). This paper discusses possible methods for further enhancing the quality of the wind and temperature measurements from the system. For wind measurement, the enhancement methods include: error modelling of the accelerometer (e.g., bias offset and cross-axis rate sensitivity), global positioning system (GPS) phase lag consideration, better representation of the inertial measurement unit (IMU) velocity based on the GPS velocities and considering their location differences, consideration of the slower update of GPS velocity, and wing flexure. For temperature measurement, the methods include the consideration of the temperature sensor response and the sensor housing response. The results of typical flights using AIMMS-20 show that the accuracy of the wind and temperature data could be improved by 20%–30%. Though the discussion in the present paper is related mainly to a specific meteorological measuring system on a particular aircraft, the techniques so employed should be a useful reference for similar systems installed on other aircraft.

Key wordsAirborne meteorological measurements      Kalman filter      Comparison with radiosonde measurement     
Received: 19 September 2011      Published: 28 June 2012
CLC:  P43  
Cite this article:

Stephen Foster, P. W. Chan. Improving the wind and temperature measurements of an airborne meteorological measuring system. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2012, 13(10): 723-746.

URL:

http://www.zjujournals.com/xueshu/zjus-a/10.1631/jzus.A1100245     OR     http://www.zjujournals.com/xueshu/zjus-a/Y2012/V13/I10/723

[1] Xi-ming Cheng, Li-guang Yao, Michael Pecht. Lithium-ion battery state-of-charge estimation based on deconstructed equivalent circuit at different open-circuit voltage relaxation times[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2017, 18(4): 256-267.
[2] Xing-huai Huang, Shirley Dyke, Zhao-dong Xu. An in-time damage identification approach based on the Kalman filter and energy equilibrium theory[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2015, 16(2): 105-116.
[3] . A novel method for fast identification of a machine tool selected point temperature rise based on an adaptive unscented Kalman filter[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2014, 15(10): 761-773.
[4] Sheng Jin, Dian-hai Wang, Cheng Xu, Dong-fang Ma. Short-term traffic safety forecasting using Gaussian mixture model and Kalman filter[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2013, 14(4): 231-243.
[5] Xiao-song Hu, Feng-chun Sun, Xi-ming Cheng. Recursive calibration for a lithium iron phosphate battery for electric vehicles using extended Kalman filtering[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2011, 12(11): 818-825.
[6] Ke Han, Hao Wang, Zhong-he Jin. Magnetometer-only linear attitude estimation for bias momentum pico-satellite[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2010, 11(6): 455-464.
[7] Xiang-ping WU, Jie-yue LI, Ying-ke XU, Ke-di XU, Xiao-xiang ZHENG. Three-dimensional tracking of GLUT4 vesicles in TIRF microscopy[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2008, 9(2): 232-240.
[8] S. Sp. PAPPAS, L. EKONOMOU, V. C. MOUSSAS, P. KARAMPELAS, S. K. KATSIKAS. Adaptive load forecasting of the Hellenic electric grid[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2008, 9(12): 1724-1730.
[9] WU Xue-dong, SONG Zhi-huan. Gaussian particle filter based pose and motion estimation[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2007, 8(10): 1604-1613.
[10] He Bo. Precise navigation for a 4WS mobile robot[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2006, 7(2): 185-193.
[11] XIANG Zhi-yu, LIU Ji-lin, GU Wei-kang, TIAN Yuan. OBSTACLE DETECTION BY ALV USING TWO 2D LASER RANGE FINDERS[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2001, 2(4): 388-394.