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
fDate :
3/1/2008 12:00:00 AM
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;
Journal_Title :
Antennas and Propagation, IEEE Transactions on
DOI :
10.1109/TAP.2008.916939