Journal cover Journal topic
Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
doi:10.5194/acp-2016-1035
© Author(s) 2016. This work is distributed
under the Creative Commons Attribution 3.0 License.
Research article
08 Dec 2016
Review status
This discussion paper is under review for the journal Atmospheric Chemistry and Physics (ACP).
An Improved Hydrometeor Detection Method for Millimeter-Wavelength Cloud Radar
Jinming Ge1, Zeen Zhu1, Chuang Zheng1, Hailing Xie1, Tian Zhou1, Jianping Huang1, and Qiang Fu1,2 1Key Laboratory for Semi-Arid Climate Change of the Ministry of Education and College of Atmospheric Sciences, Lanzhou University, Lanzhou, 730000, PRC
2Department of Atmospheric Sciences, University of Washington, Seattle, WA, 98105, USA
Abstract. A new method is proposed to distinguish clouds and other hydrometeors from noise in cloud radar observations. Instead of examining radar return for significant levels of signals, which is used in current cloud radar hydrometeor detection algorithms, this new method extracts signals by first reducing noise distribution to a narrow range. "Square clouds" were constructed to test the two schemes. We applied our method to two months of cloud radar observations, and compared the results with those obtained by applying the U.S. Department of Energy (DOE) Atmospheric Radiation Measurements (ARM) program operational algorithm. It was found that our method has significant advantages in recognizing clouds with weak signal and reducing the rates of both failed negative and false positive hydrometeor identifications.

Citation: Ge, J., Zhu, Z., Zheng, C., Xie, H., Zhou, T., Huang, J., and Fu, Q.: An Improved Hydrometeor Detection Method for Millimeter-Wavelength Cloud Radar, Atmos. Chem. Phys. Discuss., doi:10.5194/acp-2016-1035, in review, 2016.
Jinming Ge et al.
Jinming Ge et al.
Jinming Ge et al.

Viewed

Total article views: 204 (including HTML, PDF, and XML)

HTML PDF XML Total BibTeX EndNote
151 42 11 204 5 12

Views and downloads (calculated since 08 Dec 2016)

Cumulative views and downloads (calculated since 08 Dec 2016)

Viewed (geographical distribution)

Total article views: 204 (including HTML, PDF, and XML)

Thereof 200 with geography defined and 4 with unknown origin.

Country # Views %
  • 1

Saved

Discussed

Latest update: 29 Mar 2017
Publications Copernicus
Download
Short summary
A new method, which extracts signals by reducing noise distribution to a narrow range, is proposed to distinguish clouds and other hydrometeors from noise in cloud radar observations. It was found that our method has significant advantages in recognizing clouds with weak signal and reducing the rates of both failed negative and false positive hydrometeor identifications.
A new method, which extracts signals by reducing noise distribution to a narrow range, is...
Share