Abstract
The accurate measurement of wind profiles in the planetary boundary layer (PBL) is important not only for numerical weather prediction, but also for air quality modeling. Two wind retrieval methods using scanning Doppler light detection and ranging (lidar) measurements were compared and validated with simultaneous radiosonde soundings. A comparison with 17 radiosonde sounding profiles showed that the sine-fitting method was able to retrieve a larger number of data points, but the singular value decomposition method showed significantly smaller bias (0.57 m s−1) and root-mean-square error (1.75 m s−1) with radiosonde soundings. Increasing the averaging time interval of radial velocity for obtaining velocity azimuth display scans to 15 min resulted in better agreement with radiosonde soundings due to the signal averaging effect on noise. Simultaneous measurements from collocated wind Doppler lidar and aerosol Mie-scattering lidar revealed the temporal evolution of PBL winds and the vertical distribution of aerosols within the PBL.
Highlights
Understanding planetary boundary layer (PBL) winds is important for air quality modeling, because winds within the PBL have a significant influence on the dispersion and transport of aerosols and their precursors [1,2]
The sine-fitting method was employed by the instrument manufacturer and independent wind data were retrieved by applying the singular value decomposition (SVD) to the radial velocity, lidar elevation, and azimuth angle data
Comparing 17 radiosonde sounding experiments, it was concluded that the sine-fitting method showed better performance with regard to the number of points, but the SVD method resulted in significantly smaller bias and root-mean-square error with radiosonde soundings
Summary
Understanding planetary boundary layer (PBL) winds is important for air quality modeling, because winds within the PBL have a significant influence on the dispersion and transport of aerosols and their precursors [1,2]. Continuous WDL observations provide information regarding the temporal evolution of wind profiles within the PBL, which is useful as input and validation data for air quality and NWP modeling. The objectives of this study are to ensure the performance and reliability of winds measured by the scanning Doppler lidar and to investigate the evolution of wind profiles within the PBL. Diurnal variations of wind profiles and aerosol distributions in the PBL are investigated using simultaneous measurements of WDL and aerosol Mie-scattering lidar
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
