A fully automated data processing procedure has been developed for deriving the precipitation parameters from VHF Doppler radar spectra simultaneously with the background atmospheric parameters such as the mean wind velocity. The procedure has largely enhanced our capability in analyzing the data from continuous observations, which was hardly possible with human-attained analysis. The accuracy of the derived parameters are quantitatively evaluated by means of numerical simulations. It is found that the rain parameters can be determined with an accuracy of 15% at a time and height resolution of 10 min and 600 m, respectively, for high signal-to-noise ratios, for example. Parameters for the background atmospheric turbulence are estimated with an accuracy more than twice the fitting procedure currently used to analyze clear-air data. Experimental results of the MU radar observations are compared with the rain intensity measured on the ground for the first time. It is confirmed that the radar has a capability of measuring rain parameters with a rainfall rate sensitivity of about 1 m.m h-1. 961
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.