Journal cover Journal topic
Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union

Journal metrics

  • IF value: 3.089 IF 3.089
  • IF 5-year<br/> value: 3.700 IF 5-year
    3.700
  • CiteScore<br/> value: 3.59 CiteScore
    3.59
  • SNIP value: 1.273 SNIP 1.273
  • SJR value: 2.026 SJR 2.026
  • IPP value: 3.082 IPP 3.082
  • h5-index value: 45 h5-index 45
https://doi.org/10.5194/amt-2018-155
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Research article
05 Jun 2018
Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Atmospheric Measurement Techniques (AMT).
Graphics Algorithm for Deriving Atmospheric Boundary Layer Heights from CALIPSO Data
Boming Liu1, Yingying Ma1,2, Jiqiao Liu3, Wei Gong1,2, Wei Wang4, and Ming Zhang1 1State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, Wuhan 430079, China
2Collaborative Innovation Centre for Geospatial Technology, Wuhan 430079, China
3Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai, 201800
4School of Geoscience and Info-Physics, Central South University, Changsha, 410083
Abstract. The atmospheric boundary layer is an important atmospheric feature that affects environmental health and weather forecasting. In this study, we proposed a graphics algorithm for the derivation of atmospheric boundary layer height (BLH) from the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) data. Owing to the differences in scattering intensity between molecular and aerosol particles, the total attenuated backscatter coefficient 532 and attenuated backscatter coefficient 1064 were used simultaneously for BLH detection. The proposed algorithm transformed the gradient solution into graphics distribution solution to overcome the effects of large noise and improve the horizontal resolution. This method was then tested with real signals under different horizontal smoothing numbers (1, 3, 15 and 30). The algorithm provided a reliable result when the horizontal smoothing number was greater than 5. Finally, the results of BLH obtained by CALIPSO data were compared with the results retrieved by the ground-based Lidar and radiosonde (RS) measurements. Under the horizontal smoothing number of 15, 9 and 3, the correlation coefficients between the BLH derived by the proposed algorithm and ground-based Lidar were 0.72, 0.72 and 0.14, respectively, and those between the BLH derived by the proposed algorithm and radiosonde measurements were 0.59, 0.59 and 0.07. When the horizontal smoothing number was 15 and 9, the CALIPSO BLH derived by the proposed method demonstrated a good correlation with ground-based Lidar and RS. This finding indicated that the proposed algorithm can be applied to the CALIPSO satellite data with 3 and 5 km horizontal resolution.
Citation: Liu, B., Ma, Y., Liu, J., Gong, W., Wang, W., and Zhang, M.: Graphics Algorithm for Deriving Atmospheric Boundary Layer Heights from CALIPSO Data, Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2018-155, in review, 2018.
Boming Liu et al.
Boming Liu et al.
Boming Liu et al.

Viewed

Total article views: 237 (including HTML, PDF, and XML)

HTML PDF XML Total BibTeX EndNote
194 39 4 237 4 4

Views and downloads (calculated since 05 Jun 2018)

Cumulative views and downloads (calculated since 05 Jun 2018)

Viewed (geographical distribution)

Total article views: 237 (including HTML, PDF, and XML)

Thereof 235 with geography defined and 2 with unknown origin.

Country # Views %
  • 1

Saved

Discussed

Latest update: 19 Jun 2018
Publications Copernicus
Download
Share