Combining cloud radar and radar wind profiler for a value added estimate of vertical air motion and particle terminal velocity within clouds

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Date
2018
Volume
11
Issue
10
Journal
Series Titel
Book Title
Publisher
Göttingen : Copernicus GmbH
Abstract

Vertical-stare observations from a 482MHz radar wind profiler and a 35GHz cloud radar are combined on the level of individual Doppler spectra to measure vertical air motions in clear air, clouds and precipitation. For this purpose, a separation algorithm is proposed to remove the influence of falling particles from the wind profiler Doppler spectra and to calculate the terminal fall velocity of hydrometeors. The remaining error of both vertical air motion and terminal fall velocity is estimated to be better than 0.1ms-1 using numerical simulations. This combination of instruments allows direct measurements of in-cloud vertical air velocity and particle terminal fall velocity by means of ground-based remote sensing. The possibility of providing a profile every 10s with a height resolution of < 100m allows further insight into the process scale of in-cloud dynamics. The results of the separation algorithm are illustrated by two case studies, the first covering a deep frontal cloud and the second featuring a shallow mixed-phase cloud.

Description
Keywords
airflow, algorithm, hydrometeorology, instrumentation, numerical model, profiler, radar, remote sensing, vertical movement, wind profile, wind velocity
Citation
Radenz, M., Bühl, J., Lehmann, V., Görsdorf, U., & Leinweber, R. (2018). Combining cloud radar and radar wind profiler for a value added estimate of vertical air motion and particle terminal velocity within clouds. 11(10). https://doi.org//10.5194/amt-11-5925-2018
License
CC BY 4.0 Unported