DocumentCode :
1092590
Title :
1-Min Rain Rate Statistics Predictions From 1-Hour Rain Rate Statistics Measurements
Author :
Capsoni, Carlo ; Luini, Lorenzo
Author_Institution :
Politec. di Milano, Milan
Volume :
56
Issue :
3
fYear :
2008
fDate :
3/1/2008 12:00:00 AM
Firstpage :
815
Lastpage :
824
Abstract :
A new method is presented, which allows the recovery of the cumulative distribution function (CDF) of point rain rate with 1-min integration time (P(R)1) from rain rate CDFs with longer integration time (in this case, 1-hour time average rain rate statistics P(R)60)- The method generates the scaling factors between P(R)60) and P(R)1) as a function of the probability level and of the site geographical coordinates. From the scaling factors, a scaling law of the form proposed by Chebil and Raman is devised. The method is applicable worldwide and produces predictions far more accurate than the ones provided by general P(R) estimation techniques.
Keywords :
atmospheric electromagnetic wave propagation; rain; statistics; Chebil-Raman scaling law; cumulative distribution function recovery; electromagnetic propagation; rain rate statistics measurements; rain rate statistics prediction; rainfall effects; site geographical coordinate; Attenuation; Distribution functions; Helium; Meteorology; Prediction methods; Probability; Rain; Statistical distributions; Statistics; Time measurement; Electromagnetic propagation; prediction methods; rainfall effects;
fLanguage :
English
Journal_Title :
Antennas and Propagation, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-926X
Type :
jour
DOI :
10.1109/TAP.2008.916939
Filename :
4463885
Link To Document :
بازگشت