Conversion of Rain Rate Cumulative Distributions by Multiple Regression Model

Conversion of Rain Rate Cumulative Distributions by Multiple Regression Model

At frequencies above 10 GHz, rain is a dominant propagation phenomenon on satellite link attenuation. The prediction ofrain attenuation is based on the point rainfall rate for 0.01 % of an average year with one minute integration time. Mostof available rain data have been measured with 60 minutes integration time, and many researchers have been studying onconverting the rainfall rate data from various integration times to one minute integration time. This paper proposes a newMultiple Regression model for the conversion, and the proposed schemes show better performance than the existing schemes.

At frequencies above 10 GHz, rain is a dominant propagation phenomenon on satellite link attenuation. The prediction ofrain attenuation is based on the point rainfall rate for 0.01 % of an average year with one minute integration time. Mostof available rain data have been measured with 60 minutes integration time, and many researchers have been studying onconverting the rainfall rate data from various integration times to one minute integration time. This paper proposes a newMultiple Regression model for the conversion, and the proposed schemes show better performance than the existing schemes.