Articles | Volume 19, issue 21
https://doi.org/10.5194/amt-19-7255-2026
https://doi.org/10.5194/amt-19-7255-2026
Research article
 | 
12 Nov 2026
Research article |  | 12 Nov 2026

A new method to estimate the characteristic raindrop size from space-borne Doppler radars: validation with the Monte Carlo model

Takahisa Kobayashi, Kazuhiko Masuda, Hiroshi Yamauchi, and Ahoro Adachi

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Cited articles

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Bayewitz, M. H., Yerushalmi, J., Katz, S., and Shinnar, R.: The extent of correlations in a stochastic coalescence process, J. Atmos. Sci., 31, 1604–1614, https://doi.org/10.1175/1520-0469(1974)031<1604:TEOCIA>2.0.CO;2, 1974. 
Barthes, L. and Mallet, X.: Vertical evolution of raindrop size distribution: Impact on the shape of the DSD, Atmos. Res., 119, 13–22, https://doi.org/10.1016/j.atmosres.2011.07.011, 2013. 
Berry, E. X. and Reinhardt, R. L.: An analysis of cloud droplet growth by collection: Part I. Double distributions, J. Atmos. Sci., 31, 1814–1824, https://doi.org/10.1175/1520-0469(1974)031<1814:AAOCDG>2.0.CO;2, 1974. 
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Short summary
This paper describes a physically-based algorithm for estimating the mass-weighted raindrop diameter (Dm) and the corresponding Doppler velocities. The algorithm exploits the radar reflectivity and the specific attenuation observed by space-borne Doppler radars and estimate Dm assuming a specified drop size distribution DSD. The uncertainties related to the variability of DSD were reduced by using the dependence of Z–R relationship on Dm and by utilizing parameters representing the shape of DSD.
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