4.7 Article

Boundary Layer Heights as Derived From Ground-Based Radar Wind Profiler in Beijing

Journal

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
Volume 57, Issue 10, Pages 8095-8104

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TGRS.2019.2918301

Keywords

Beijing; boundary layer height (BLH); radar wind profiler (RWP); radiosonde; signal-to-noise ratio (SNR)

Funding

  1. National Key Research and Development Program of China [2017YFC0212600, 2017YFC1501401]
  2. National Natural Science Foundation of China [41401498, 4162780, 41127901, 41627804, 91544217, 41771399]
  3. Wuhan Technological Bureau [2017CFB404]

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The vertical structure of wind is a key factor in modulating air quality, from which the determination of boundary layer height (BLH) remains a major challenge. In this paper, we developed an improved threshold method to determine the BLH from radar wind profiler (RWP) measurements. The normalized signal-to-noise ratio (SNR) profiles were used instead of the original SNR profiles to avoid instrumental inconsistencies. Additionally, a peak filter was designed to indicate the BLH based on the maximum SNR by taking into account the multiple peaks in the SNR profile. This algorithm was then applied to the RWP measurements taken in the summer (June-July-August) of 2018 in Beijing to obtain the BLHs. Validation analyses suggested that the BLH retrievals from RWP exhibited high consistency with those from radiosondes, with an average correlation coefficient of 0.69 (0.66) and a root mean squared error of 0.39 (0.41) in the daytime (nighttime). Additionally, the major features of summertime BLHs in Beijing were examined. In particular, a distinct diurnal variation in BLH was observed with a peak (1630 +/- 510 m) occurring at 0600 universal time coordinated (UTC) and a minimum (587 +/- 343 m) at 2300 UTC. Therefore, the algorithm presented here has great potential to be applied to other regions to obtain reliable BLHs. The findings obtained here highlight the importance of vertical wind structure in air quality studies.

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