Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Radial Power Spectral Characterizations of Near Surface Rainfall Rates Using Time-Height Vertically Pointing Doppler Radar Measurements

Version 1 : Received: 8 June 2022 / Approved: 10 June 2022 / Online: 10 June 2022 (10:21:15 CEST)

How to cite: Jameson, A.R.; Larsen, M. Radial Power Spectral Characterizations of Near Surface Rainfall Rates Using Time-Height Vertically Pointing Doppler Radar Measurements. Preprints 2022, 2022060159. https://doi.org/10.20944/preprints202206.0159.v1 Jameson, A.R.; Larsen, M. Radial Power Spectral Characterizations of Near Surface Rainfall Rates Using Time-Height Vertically Pointing Doppler Radar Measurements. Preprints 2022, 2022060159. https://doi.org/10.20944/preprints202206.0159.v1

Abstract

It has been shown that the Micro-Rain Radar (MRR) can be used to derive rainfall rates every 10 m over a depth of 1.28 km using the mean vertical air velocity corrected Doppler raindrop fall speed spectra. Furthermore, it has been shown that by assuming a reasonable advection velocity for the rain, these data can be analyzed to produce spatial radial power spectra often readily fit using a power function. Previous work has shown, however, that each spectrum applies only to each particular set of data and usually lacks the statistical qualifications necessary to be considered generally applicable. However, this limitation does not preclude the potential existence of other generalizations that can be used to explore the rainfall formation processes. The intent of this study, then, is to perform an initial look for such possible behaviors using time-height profiles of the rainfall rate. It is found that once the rainfall rate, R, exceeds about 20 mm h-1, there is, apparently, an associated flattening of the spectra with increasing R so that the smaller scales play an ever increasingly important role in such rain near the ground perhaps reflecting the increasing importance of such scales in the formation of pockets of more intense convective rain. The true generality of this finding needs additional scrutiny using more data particularly from two spatially separated MRR as is currently under preparation.

Keywords

Raindrop size distributions (DSD) from Doppler radar; Computing radial power spectra using radar Doppler spectra; Vertical pointing Doppler rain observations.

Subject

Environmental and Earth Sciences, Atmospheric Science and Meteorology

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