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Open AccessArticle

Measurement of Planetary Boundary Layer Winds with Scanning Doppler Lidar

1
School of Earth and Environmental Sciences, Seoul National University, Seoul 08826, Korea
2
Research Center for Atmospheric Environment, Hankuk University of Foreign Studies, Yongin 17035, Korea
3
School of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology, Ulsan 44919, Korea
*
Author to whom correspondence should be addressed.
Remote Sens. 2018, 10(8), 1261; https://doi.org/10.3390/rs10081261
Received: 19 June 2018 / Revised: 7 August 2018 / Accepted: 8 August 2018 / Published: 10 August 2018
(This article belongs to the Special Issue Remote Sensing of the Atmospheric Boundary Layer)
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. View Full-Text
Keywords: wind Doppler lidar; planetary boundary layer; remote sensing; wind speed; wind direction wind Doppler lidar; planetary boundary layer; remote sensing; wind speed; wind direction
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MDPI and ACS Style

Park, S.; Kim, S.-W.; Park, M.-S.; Song, C.-K. Measurement of Planetary Boundary Layer Winds with Scanning Doppler Lidar. Remote Sens. 2018, 10, 1261.

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