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http://dx.doi.org/10.5515/JKIEES.2008.8.2.084

Empirical Prediction Models of 1-min Rain Rate Distribution for Various Integration Time  

Jung, Myoung-Won (Dept. of Radio Science & Engineering, Chungnam National University)
Han, Il-Tak (Dept. of Radio Science & Engineering, Chungnam National University)
Choi, Moon-Young (Dept. of Radio Science & Engineering, Chungnam National University)
Lee, Joo-Hwan (Digital Broadcasting Technology Lab., ETRI)
Pack, Jeong-Ki (Dept. of Radio Science & Engineering, Chungnam National University)
Publication Information
Abstract
In a wireless channel above microwave frequency, rain attenuation is very important. In order to predict rain attenuation, 1-min. rain rate distribution is required. This paper discusses appropriate conversion methods to estimate 1-minute rain rate from that of other integration time. Based on the measurement data filed in ITU-R WP3J including ETRI data for 6 consecutive years, distributions of rain rate with 1-, 5-, 10-, 20-, 30-minute integration time were analyzed, both on the global and regional basis, and the parametric relationship between the statistical characteristics of 1-minute and other measurement data were investigated to deduce the conversion methods. It is shown that the global model works good with good accuracy for 5-, 10-, 20-min integration time, and the global model is also applicable globally with good accuracy for 5-, 10-, 20-min integration time. The global conversion model was adopted last year as an ITU-R document for new recommendation. The regional conversion model would also be very useful for locations of similar climatic zone.
Keywords
Conversion Coefficient; Conversion Coefficient; Integration Time; Rain Rate; Rain Rate Distribution;
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  • Reference
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