DocumentCode :
1429523
Title :
Spectral analysis of 49 years of rainfall rate and relation to fade dynamics
Author :
Burgueño, August ; Vilar, Enric ; Puigcerver, Manuel
Author_Institution :
Dept. of Atmos. Phys., Astron., & Astrophys., Barcelona Univ., Spain
Volume :
38
Issue :
9
fYear :
1990
fDate :
9/1/1990 12:00:00 AM
Firstpage :
1359
Lastpage :
1366
Abstract :
The nature of the rainfall rate R(t) as a transient random process is presented in the context of microwave attenuation and fade dynamics. Using 49 years of data recorded in Barcelona, the spectral densities of energy and power and the autocorrelation function are presented, together with their analytical model. Examples for specific rain events are also presented. Several regimes covering a wide range of intensities have been investigated, and it is found that the spectral densities all exhibit a similar form which is independent of the average regime of R considered. This leads to a mean frequency and a spectral width which appear to be universal constants and independent of the regime. Similar features are found for the autocorrelation function. The mathematical models and numerical values found are compared to the Maseng-Bakken model (1981) proposed in earlier work of fade dynamics, and the agreement is good. The method is proposed for modeling the denormalized autocorrelation, and hence the spectrum, using only the measured average rainfall rate during a period of interest. Finally, the average number of crossings per unit of time is modeled and compared to the experimental results, and the agreement is satisfactory
Keywords :
fading; radiowave propagation; rain; spectral analysis; tropospheric electromagnetic wave propagation; Barcelona; Spain; autocorrelation function; energy spectral density; fade dynamics; microwave attenuation; power spectral density; radiowave propagation; rainfall rate; spectral analysis; transient random process; Attenuation; Autocorrelation; Mathematical model; Rain; Random processes; Spectral analysis; Statistical analysis; Statistical distributions; Time series analysis; Transient analysis;
fLanguage :
English
Journal_Title :
Communications, IEEE Transactions on
Publisher :
ieee
ISSN :
0090-6778
Type :
jour
DOI :
10.1109/26.61377
Filename :
61377
Link To Document :
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