Research Article
Specific Rain Attenuation Derived from a Gaussian Mixture Model for Rainfall Drop Size Distribution
@INPROCEEDINGS{10.1007/978-3-319-53850-1_17, author={K’ufre-Mfon Ekerete and Francis Hunt and Judith Jeffery and Ifiok Otung}, title={Specific Rain Attenuation Derived from a Gaussian Mixture Model for Rainfall Drop Size Distribution}, proceedings={Wireless and Satellite Systems. 8th International Conference, WiSATS 2016, Cardiff, UK, September 19-20, 2016, Proceedings}, proceedings_a={WISATS}, year={2017}, month={6}, keywords={Theoretical modelling Space and satellite communications Estimation and forecasting Probability distributions Rainfall drop size distribution (DSD) Gaussian Mixture Model (GMM) Specific attenuation}, doi={10.1007/978-3-319-53850-1_17} }- K’ufre-Mfon Ekerete
Francis Hunt
Judith Jeffery
Ifiok Otung
Year: 2017
Specific Rain Attenuation Derived from a Gaussian Mixture Model for Rainfall Drop Size Distribution
WISATS
Springer
DOI: 10.1007/978-3-319-53850-1_17
Abstract
Precipitation, particularly rain affects the millimetre and sub-millimetre frequencies more severely than it does for lower frequencies in the Earth-space path. There is therefore a need for accurate models that will enable the rainfall drop size distribution (DSD) to be better predicted for better planning and improved service delivery. Using data captured at Chilbolton Observatory, this paper looks at modelling the DSD using the Gaussian Mixture Model (GMM), and attempts to predict the specific attenuation due to rain based on this model and compares the result with other well-established statistical models (lognormal and gamma). Results show that specific attenuation tends to increase with the drop sizes, and the smaller drops contribute little to the overall attenuation experienced by signals. Specific attenuation was computed based on several standard statistical distributions, and compared with that derived from the ITU recommendation.