Articles | Volume 16, issue 15
https://doi.org/10.5194/amt-16-3727-2023
https://doi.org/10.5194/amt-16-3727-2023
Research article
 | 
10 Aug 2023
Research article |  | 10 Aug 2023

Particle inertial effects on radar Doppler spectra simulation

Zeen Zhu, Pavlos Kollias, and Fan Yang

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Cited articles

Acquistapace, C., Löhnert, U., Maahn, M., and Kollias, P.: A New Criterion to Improve Operational Drizzle Detection with Ground-Based Remote Sensing, J. Atmos. Ocean. Tech., 36, 781+-801, 2019. 
Atlas, D., Srivastava, R., and Sekhon, R. S.: Doppler radar characteristics of precipitation at vertical incidence, Rev. Geophys., 11, 1–35, 1973. 
Borque, P., Luke, E., and Kollias, P.: On the unified estimation of turbulence eddy dissipation rate using Doppler cloud radars and lidars, J. Geophys. Res.-Atmos., 121, 5972–5989, 2016. 
Capsoni, C., D'Amico, M., and Nebuloni, R.: A multiparameter polarimetric radar simulator, J. Atmos. Ocean. Tech., 18, 1799–1809, 2001. 
Cheynet, E.: Wind field simulation (text-based input), Version 1.3, Zenodo [code], https://doi.org/10.5281/ZENODO.3774136, 2020. 
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Short summary
We show that large rain droplets, with large inertia, are unable to follow the rapid change of velocity field in a turbulent environment. A lack of consideration for this inertial effect leads to an artificial broadening of the Doppler spectrum from the conventional simulator. Based on the physics-based simulation, we propose a new approach to generate the radar Doppler spectra. This simulator provides a valuable tool to decode cloud microphysical and dynamical properties from radar observation.
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