DocumentCode
1513270
Title
Regime analysis of rainfall drop-size distribution models for microwave terrestrial networks
Author
Alonge, Akintunde A. ; Afullo, Thomas J.
Author_Institution
Sch. of Electr., Electron. & Comput. Eng., Univ. of KwaZulu-Natal, Durban, South Africa
Volume
6
Issue
4
fYear
2012
Firstpage
393
Lastpage
403
Abstract
In this study, parameters of statistical models for estimating the rainfall specific attenuation in Durban, South Africa are derived. The rainfall data in this work are based on 2-year measurements obtained via the Joss-Waldvogel RD-80 disdrometer between January 2009 and December 2010. Four rainfall regimes are applied: drizzle, widespread, shower and thunderstorm types. Using the third, fourth and sixth moments of the measured data, estimators for four rainfall drop-size distribution (DSD) models - 3-parameter lognormal model, negative exponential model, 3-parameter Weibull model and the modified gamma model - are computed. The specific attenuation estimates from our model are compared with the values from predicted measurements alongside the International Telecommunication Union (ITU) estimates for frequencies between 2 and 100-GHz. The results from the specific attenuation estimation are compared with the semi-empirical measurements for their respective regimes using root-mean-square and X2 error tests. From the results, the best models for the various regimes are: Weibull model for drizzle regime, modified gamma model for widespread and shower regimes and lognormal model for the thunderstorm regime.
Keywords
Mie scattering; Weibull distribution; microwave measurement; rain; 3-parameter Weibull model; 3-parameter lognormal model; disdrometer; drizzle regime; microwave terrestrial networks; modified gamma model; negative exponential model; rainfall data; rainfall drop-size distribution models; regime analysis; specific attenuation estimation; statistical models; thunderstorm regime;
fLanguage
English
Journal_Title
Microwaves, Antennas & Propagation, IET
Publisher
iet
ISSN
1751-8725
Type
jour
DOI
10.1049/iet-map.2011.0411
Filename
6197320
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