Preprints
https://doi.org/10.5194/amt-2022-247
https://doi.org/10.5194/amt-2022-247
 
08 Sep 2022
08 Sep 2022
Status: this preprint is currently under review for the journal AMT.

Retrieval of Terahertz Ice Cloud Properties from airborne measurements based on the irregularly shaped Voronoi ice scattering models

Ming Li1,2, Husi Letu1, Hiroshi Ishimoto3, Shulei Li4, Lei Liu4, Takashi Y. Nakajima5, Dabin Ji1, Huazhe Shang1, and Chong Shi1 Ming Li et al.
  • 1State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100101, China
  • 2University of Chinese Academy of Sciences, Beijing, 100049, China
  • 3Meteorological Research Institute, Japan Meteorological Agency (JMA), Nagamine 1-1, Tsukuba, 305-0052, Japan
  • 4College of Meteorology and Oceanography, National University of Defense Technology, Changsha, 410073, China
  • 5Research and Information Center (TRIC), Tokai University, 4-1-1 Kitakaname Hiratsuka, Kanagawa, 259-1292, Japan

Abstract. Currently, the terahertz remote sensing technology is one of the best ways to detect the microphysical properties of ice clouds. Influenced by the representativeness of the ice crystal scattering (ICS) model, the existing terahertz ice cloud remote sensing inversion algorithms still have significant uncertainties. In this study, we developed a terahertz remote sensing inversion algorithm of the ice water path (IWP) and effective particle radius (Re) of ice clouds based on the Voronoi ICS model. This study utilized the single-scattering properties (extinction efficiency, single-scattering albedo and asymmetry factor) of the Voronoi and Sphere ICS models in the terahertz region. Combined with 14,408 groups of particle size distributions obtained from aircraft-based measurements, we completed the Voronoi and Sphere ICS schemes based on the Voronoi and Sphere ICS models. The two schemes were applied to the RSTAR radiative transfer model to carry out the sensitivity analysis of the top of cloud (TOC) terahertz brightness temperature differences (BTDs) on the IWP and Re. The sensitivity results showed that the TOC BTDs between 640 and 874 GHz are functions of the IWP, and the TOC BTDs between 380, 640 and 874 GHz are functions of the Re. The Voronoi ICS scheme possesses stronger sensitivity to the Re than the Sphere ICS scheme. Based on the sensitivity results, we built a multi-channel look-up table for BTDs. The IWP and Re were searched from the look-up table using an optimal estimation algorithm. We used 2000 BTD test data randomly generated by the RSTAR model to assess the algorithm’ s accuracy. Test results showed the correlation coefficients of the retrieved IWP and Re reach 0.99 and 0.98, respectively. As an application, we used the inversion algorithm to retrieve the ice cloud IWP and Re based on the CoSSIR airborne terahertz radiation measurements. Validation against the retrievals of the Bayesian algorithm reveals that the Voronoi ICS model performs better than the Sphere ICS model, with the enhancement of the Mean absolute error of 5.0 % and 12.8 % for IWP and Re, respectively. In summary, the results of this study confirmed the practicality and effectiveness of the Voronoi ICS model in the terahertz remote sensing inversion of ice cloud microphysical properties.

Ming Li et al.

Status: open (until 13 Oct 2022)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on amt-2022-247', Anonymous Referee #2, 22 Sep 2022 reply
  • RC2: 'Comment on amt-2022-247', Anonymous Referee #3, 22 Sep 2022 reply
  • RC3: 'Comment on amt-2022-247', Anonymous Referee #4, 26 Sep 2022 reply
  • RC4: 'Comment on amt-2022-247', Anonymous Referee #1, 26 Sep 2022 reply

Ming Li et al.

Ming Li et al.

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Short summary
Influenced by the representativeness of ice crystal scattering models, the existing terahertz ice cloud remote sensing inversion algorithms still have significant uncertainties. We developed an ice cloud remote sensing retrieval algorithm of the ice water path and particle size from aircraft-based terahertz radiation measurements based on the Voronoi model. Validation revealed that the Voronoi model performs better than the Sphere model.