| Empirical Prediction Models of 1-min Rain Rate Distribution for Various Integration Time |
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Myoung-Won Jung1, Il-Tak Han1, Moon-Young Choi1, Joo-Hwan Lee2, Jeong-Ki Pack1 |
1Dept. of Radio Science & Engineering, Chungnam National University
2Digital Broadcasting Technology Lab., ETRI |
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| Abstract |
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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. |
| Key words:
Conversion Coefficient, Conversion Coefficient, Integration Time, Rain Rate, Rain Rate Distribution |
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