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On the estimation of in-cloud vertical air motion using radar Doppler spectra
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  • Zeen Zhu,
  • Pavlos Kollias,
  • Fan Yang,
  • Edward P. Luke
Zeen Zhu
Stony Brook University

Corresponding Author:[email protected]

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Pavlos Kollias
Stony Brook University
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Fan Yang
Brookhaven National Laboratory (DOE)
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Edward P. Luke
Brookhaven National Laboratory (DOE)
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Abstract

Measurements of in-cloud vertical air motion are key to quantitatively describe cloud dynamics and their role in cloud microphysics. Here, a retrieval technique for estimating the in-cloud vertical air motion using the upward edge of the radar Doppler spectrum is presented. An additional broadening correction factor that depends on the signal-to-noise ratio (SNR) is introduced. A variety of independent measurements are used to assess the performance of the new retrieval. The vertical air motion is unbiased with an uncertainty of 0.2 ms-1for SNR less than 30. The properties of in-cloud vertical air motion are investigated from one-year of ground-based observations of warm marine boundary layer clouds. Clouds with higher LWP are characterized by stronger vertical air motions compared to those having lower LWP values.
16 Jan 2021Published in Geophysical Research Letters volume 48 issue 1. 10.1029/2020GL090682