Generation of an eddy dissipation rate map at the Hong Kong International Airport based on Doppler lidar data

Journal of Atmospheric and Oceanic Technology

Volumn 28, Issue 1, 2011, Pages 37-49

  Chan, P W ^a  

^a Hong Kong Observatory   (China)

Author keywords

Eddies; Lidar observations; Turbulence

Indexed keywords

BLOW OFF; CALCULATION METHODS; DOPPLER LIDARS; EDDIES; EDDY DISSIPATION RATE; GROUND BASED; HONG KONG INTERNATIONAL - AIRPORT; LIDAR OBSERVATION; PLAN POSITION INDICATORS; SCAN AREA; TURBULENCE INTENSITY; VELOCITY STRUCTURE FUNCTIONS;

AIRPORTS; TURBULENCE;

OPTICAL RADAR;

ANEMOMETER; DISSIPATION; EDDY; ESTIMATION METHOD; GROUND-BASED MEASUREMENT; LIDAR; OBSERVATIONAL METHOD; SPATIAL DISTRIBUTION; TURBULENCE;

CHINA; HONG KONG;

EID: 79952301322     PISSN: 07390572     EISSN: None     Source Type: Journal    
DOI: 10.1175/2010JTECHA1458.1     Document Type: Article

References (13)

1. Chan, P. W., 2004: Measurement of eddy dissipation rate by a minisodar for aviation application: Comparison with tower measurement. Preprints, 11th Conf. on Aviation, Range, and Aerospace Meteorology, Hyannis, MA, Amer. Meteor. Soc., P4.9. [Available online at http://ams.confex.com/ams/pdfpapers/81174.pdf.].
2. Chan, P. W., and S. T. Chan, 2004: Performance of eddy dissipation rate estimates from wind profilers in turbulence detection. Preprints, 11th Conf. on Aviation, Range, and Aerospace Meteorology, Hyannis, MA, Amer. Meteor. Soc., P1.0. [Available online at http://ams.confex.com/ams/pdfpapers/81175.pdf.].
3. Chan, P. W., K. K. Lai, and C. M. Shun, 2005: Measurement of turbulence in terrain-disrupted airflow at the Hong Kong International Airport using aDoppler LIDAR. Croat.Meteor. J., 40, 503-506.
4. Chan, P. W., C. M. Shun, and K. C. Wu, 2006: Operational LIDAR-based system for automatic windshear alerting at the Hong Kong International Airport. Preprints, 12th Conf. on Aviation, Range, and Aerospace Meteorology, Atlanta, GA, Amer. Meteor. Soc., 6.11. [Available online at http://ams.confex.com/ams/pdfpapers/100601.pdf.].
5. Chan, S. T., and C. W. Mok, 2004: Comparison of Doppler LIDAR observations of severe turbulence and aircraft data. Preprints, 11th Conf. on Aviation, Range, and Aerospace Meteorology, Hyannis, MA, Amer. Meteor. Soc., 4.6.
6. Frehlich, R., 2001: Estimation of velocity error for Doppler lidar measurements. J. Atmos. Oceanic Technol., 18, 1628-1639.
7. Frehlich, R., and L. Cornman, 2002: Estimating spatial velocity statistics with coherent Doppler lidar. J. Atmos. Oceanic Technol., 19, 355-366.
8. Frehlich, R., S.M. Hannon, and S. W. Henderson, 1998: Coherent Doppler lidar measurements of wind field statistics. Bound.-Layer Meteor., 86, 233-256.
9. Hannon, S.M., J. V. Pelk, and P.Benda, 2005: Autonomous Doppler Lidar wind and aerosol measurements for Pentagon Shield. Preprints, Second Symp. on Lidar Atmospheric Applications, San Diego, CA, Amer. Meteor. Soc., 2.2. [Available online at http://ams.confex.com/ams/Annual2005/techprogram/paper_84481.htm.].
10. Haverdings, H., and P. W. Chan, 2009: Quick Access Recorder (QAR) data analysis software for windshear and turbulence studies. Proc. First AIAA Atmospheric and Space Environments Conf., San Antonio, TX, AIAA.
11. Shun, C. M., and P. W. Chan, 2008: Applications of an infrared Doppler lidar in detection of wind shear. J. Atmos. Oceanic Technol., 25, 637-655.
12. Smalikho, I. N., 1997: Accuracy of turbulent energy dissipation rate estimation from wind velocity temporal spectrum. Atmos. Oceanic Opt., 10, 898-904.
13. Szeto, K. C., and P. W. Chan, 2006: High-resolution numerical modelling of windshear episodes at the Hong Kong International Airport. Preprints, 12th Conf. on Aviation, Range, and Aerospace Meteorology, Atlanta, GA, Amer. Meteor. Soc., P5.8. [Available online at http://ams.confex.com/ams/pdfpapers/100319.pdf.].