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.
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.
the Creative Commons Attribution 4.0 License.
Research article
| 
10 Aug 2023
Research article |
| 10 Aug 2023
| 10 Aug 2023
Particle inertial effects on radar Doppler spectra simulation
Environmental and Climate Sciences Department, Brookhaven National
Laboratory, Upton, NY, USA
Pavlos Kollias
Environmental and Climate Sciences Department, Brookhaven National
Laboratory, Upton, NY, USA
Division of Atmospheric Sciences, Stony Brook University, Stony
Brook, NY, USA
Environmental and Climate Sciences Department, Brookhaven National
Laboratory, Upton, NY, USA
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Mariko Oue, Pavlos Kollias, Sergey Y. Matrosov, Alessandro Battaglia, and Alexander V. Ryzhkov
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Katia Lamer, Mariko Oue, Alessandro Battaglia, Richard J. Roy, Ken B. Cooper, Ranvir Dhillon, and Pavlos Kollias
Atmos. Meas. Tech., 14, 3615–3629, https://doi.org/10.5194/amt-14-3615-2021, https://doi.org/10.5194/amt-14-3615-2021, 2021
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Observations collected during the 25 February 2020 deployment of the VIPR at the Stony Brook Radar Observatory clearly demonstrate the potential of G-band radars for cloud and precipitation research. The field experiment, which coordinated an X-, Ka-, W- and G-band radar, revealed that the differential reflectivity from Ka–G band pair provides larger signals than the traditional Ka–W pairing underpinning an increased sensitivity to smaller amounts of liquid and ice water mass and sizes.
Marek Jacob, Pavlos Kollias, Felix Ament, Vera Schemann, and Susanne Crewell
Geosci. Model Dev., 13, 5757–5777, https://doi.org/10.5194/gmd-13-5757-2020, https://doi.org/10.5194/gmd-13-5757-2020, 2020
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Sonja Drueke, Daniel J. Kirshbaum, and Pavlos Kollias
Atmos. Chem. Phys., 20, 13217–13239, https://doi.org/10.5194/acp-20-13217-2020, https://doi.org/10.5194/acp-20-13217-2020, 2020
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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.
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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.
We show that large rain droplets, with large inertia, are unable to follow the rapid change of...
