Particle inertial effects on radar Doppler spectra simulation

Zhu, Zeen; Kollias, Pavlos; Yang, Fan

doi:https://doi.org/10.5194/amt-16-3727-2023

Articles | Volume 16, issue 15

https://doi.org/10.5194/amt-16-3727-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/amt-16-3727-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 16, issue 15

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

Data sets

W-Band (95 GHz) ARM Cloud Radar (WACRSPECCMASKCOPOL). 2007-05-09 to 2007-05-10, Southern Great Plains (SGP) Central Facility, Lamont, OK (C1) K. Johnson, D. Nelson, and A. Matthews https://doi.org/10.5439/1025318

Impact Disdrometer (DISDROMETER). 2007-05-09 to 2007-05-10, Southern Great Plains (SGP) Central Facility, Lamont, OK (C1) D. Wang https://doi.org/10.5439/1025181

Model code and software

Physics-based Doppler Spectrum Simulator Z. Zhu https://doi.org/10.5281/zenodo.7897981

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.