Articles | Volume 23, issue 4
https://doi.org/10.5194/acp-23-2439-2023
https://doi.org/10.5194/acp-23-2439-2023
Research article
 | 
22 Feb 2023
Research article |  | 22 Feb 2023

Microphysical processes of super typhoon Lekima (2019) and their impacts on polarimetric radar remote sensing of precipitation

Yabin Gou, Haonan Chen, Hong Zhu, and Lulin Xue

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Cited articles

Bao, X., Wu, L., Zhang, S., Yuan, H., and Wang, H.: A comparison of convective raindrop size distributions in the eyewall and spiral rainbands of Typhoon Lekima (2019), Geophys. Res. Lett., 47, e2020GL090729, https://doi.org/10.1029/2020GL090729, 2020. 
Beard, K. V.: Terminal velocity adjustment for cloud and precipitation drops aloft, J. Atmos. Sci., 34, 1293–1298, 1977. 
Brandes, E. A., Zhang, G., and Vivekanandan, J.: Experiments in rainfall estimation with a polarimetric radar in a subtropical environment, J. Appl. Meteorol., 41, 674–685, 2002. 
Bringi, V. N., Keenan, T. D., and Chandrasekar, V.: Correcting C-band Radar Reflectivity and Differential Reflectivity Data for Rain Attenuation: A Self-consistent Method with Constraints, IEEE T. Geosci. Remote, 39, 1906–1915. 2001. 
Bringi, V. N., Rico-Ramirez, M. A., and Thurai, M.: Rainfall Estimation with An Operational Polarimetric C-Band Radar in the United Kingdom: Comparison with A Gauge Network and Error Analysis, J. Hydrometeorol., 12, 935–954, 2010. 
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Short summary
This article investigates the complex precipitation microphysics associated with super typhoon Lekima using a host of in situ and remote sensing observations, including rain gauge and disdrometer data, as well as polarimetric radar observations. The impacts of precipitation microphysics on multi-source data consistency and radar precipitation estimation are quantified. It is concluded that the dynamical precipitation microphysical processes must be considered in radar precipitation estimation.
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