Articles | Volume 19, issue 4
https://doi.org/10.5194/amt-19-1551-2026
https://doi.org/10.5194/amt-19-1551-2026
Research article
 | 
03 Mar 2026
Research article |  | 03 Mar 2026

Evaluate the impact of power-law scattering amplitude fitting on dual-polarization radar data assimilation – summertime cases study

Kao-Shen Chung, Chin-Chuan Chang, Bing-Xue Zhuang, Chih-Chien Tsai, Chen-Hau Lan, and Wei-Yu Chang

Related authors

Evaluation of hygroscopic cloud seeding in warm-rain processes by a hybrid microphysics scheme using a Weather Research and Forecasting (WRF) model: a real case study
Kai-I Lin, Kao-Shen Chung, Sheng-Hsiang Wang, Li-Hsin Chen, Yu-Chieng Liou, Pay-Liam Lin, Wei-Yu Chang, Hsien-Jung Chiu, and Yi-Hui Chang
Atmos. Chem. Phys., 23, 10423–10438, https://doi.org/10.5194/acp-23-10423-2023,https://doi.org/10.5194/acp-23-10423-2023, 2023
Short summary
Intercomparing radar data assimilation systems for ICE-POP 2018 snowfall cases
Ki-Hong Min, Kao-Shen Chung, Ji-Won Lee, Cheng-Rong You, and Gyuwon Lee
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2022-18,https://doi.org/10.5194/gmd-2022-18, 2022
Revised manuscript not accepted
Short summary
Aerosol impacts on warm-cloud microphysics and drizzle in a moderately polluted environment
Ying-Chieh Chen, Sheng-Hsiang Wang, Qilong Min, Sarah Lu, Pay-Liam Lin, Neng-Huei Lin, Kao-Shan Chung, and Everette Joseph
Atmos. Chem. Phys., 21, 4487–4502, https://doi.org/10.5194/acp-21-4487-2021,https://doi.org/10.5194/acp-21-4487-2021, 2021
Short summary

Cited articles

Anderson, J. L.: An ensemble adjustment Kalman filter for data assimilation, Mon. Weather Rev., 129, 2884–2903, https://doi.org/10.1175/1520-0493(2001)129<2884:AEAKFF>2.0.CO;2, 2001. 
Augros, C., Caumont, O., Ducrocq, V., Gaussiat, N., and Tabary, P.: Comparisons between S-, C- and X-band polarimetric radar observations and convective-scale simulations of the HyMeX first special observing period, Q. J. Roy. Meteor. Soc., 142, 347–362, https://doi.org/10.1002/qj.2572, 2016. 
Augros C., Caumont, O., Ducrocq, V., and Gaussiat, N.: Assimilation of radar dual-polarization observations in the AROME model, Q. J. Roy. Meteor. Soc., 144, 1352–1368, https://doi.org/10.1002/qj.3269, 2018. 
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, https://doi.org/10.1175/1520-0450(2002)041<0674:EIREWA>2.0.CO;2, 2002. 
Cao, Q., Zhang, G., Brandes, E., Schuur, T., Ryzhkov, A., and Ikeda, K.: Analysis of video disdrometer and polarimetric radar data to characterize rain microphysics in Oklahoma, J. Appl. Meteorol. Clim., 47, 2238–2255, https://doi.org/10.1175/2008JAMC1732.1, 2008. 
Download
Short summary
This study compares two configurations of the dual-polarization observation operator for radar data assimilation. The power-law method efficiently simulates reflectivity but may introduce a bias in differential reflectivity. The direct integration approach yields more accurate and realistic simulations of both variables, with lower residuals, making it the more proper operator for dual-pol radar data assimilation.
Share