Specific Rain Attenuation Derived from a Gaussian Mixture Model for Rainfall Drop Size Distribution

K'ufre-mfon E. Ekerete; Francis Hunt; Judith L. Jeffery; Ifiok Otung

doi:10.1007/978-3-319-53850-1_17

Specific Rain Attenuation Derived from a Gaussian Mixture Model for Rainfall Drop Size Distribution

K'ufre-mfon E. Ekerete, Francis Hunt, Judith L. Jeffery, Ifiok Otung

Faculty of Computing, Engineering and Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Wireless and Satellite Systems
Subtitle of host publication	8th International Conference, WiSATS 2016, Proceedings
Publisher	Springer
Pages	156-166
Number of pages	11
Volume	186 LNICST
ISBN (Print)	9783319538495
DOIs	https://doi.org/10.1007/978-3-319-53850-1_17
Publication status	Published - 24 Mar 2017
Event	8th International Conference on Wireless and Satellite Systems, WiSATS 2016 - Cardiff, United Kingdom Duration: 19 Sep 2016 → 20 Sep 2016

Publication series

Name	Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume	186 LNICST
ISSN (Print)	18678211

Conference

Conference	8th International Conference on Wireless and Satellite Systems, WiSATS 2016
Country/Territory	United Kingdom
City	Cardiff
Period	19/09/16 → 20/09/16

Keywords

THeoretical modelling
Space and satellite communications
Estimation and forecasting
Probability distributions
rainfall drop size distribution (DSD)
Gaussian Mixture Model (GMM)
Specific attenuation

Access to Document

10.1007/978-3-319-53850-1_17Licence: CC BY-NC-ND

Cite this

Ekerete, K. E., Hunt, F., Jeffery, J. L., & Otung, I. (2017). Specific Rain Attenuation Derived from a Gaussian Mixture Model for Rainfall Drop Size Distribution. In Wireless and Satellite Systems : 8th International Conference, WiSATS 2016, Proceedings (Vol. 186 LNICST, pp. 156-166). (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 186 LNICST). Springer. https://doi.org/10.1007/978-3-319-53850-1_17

Ekerete, K'ufre-mfon E. ; Hunt, Francis ; Jeffery, Judith L. et al. / Specific Rain Attenuation Derived from a Gaussian Mixture Model for Rainfall Drop Size Distribution. Wireless and Satellite Systems : 8th International Conference, WiSATS 2016, Proceedings. Vol. 186 LNICST Springer, 2017. pp. 156-166 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST).

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title = "Specific Rain Attenuation Derived from a Gaussian Mixture Model for Rainfall Drop Size Distribution",

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.",

keywords = "THeoretical modelling, Space and satellite communications, Estimation and forecasting, Probability distributions, rainfall drop size distribution (DSD), Gaussian Mixture Model (GMM), Specific attenuation ",

author = "Ekerete, {K'ufre-mfon E.} and Francis Hunt and Jeffery, {Judith L.} and Ifiok Otung",

year = "2017",

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doi = "10.1007/978-3-319-53850-1_17",

language = "English",

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volume = "186 LNICST",

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Ekerete, KE, Hunt, F, Jeffery, JL & Otung, I 2017, Specific Rain Attenuation Derived from a Gaussian Mixture Model for Rainfall Drop Size Distribution. in Wireless and Satellite Systems : 8th International Conference, WiSATS 2016, Proceedings. vol. 186 LNICST, Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, vol. 186 LNICST, Springer, pp. 156-166, 8th International Conference on Wireless and Satellite Systems, WiSATS 2016, Cardiff, United Kingdom, 19/09/16. https://doi.org/10.1007/978-3-319-53850-1_17

Specific Rain Attenuation Derived from a Gaussian Mixture Model for Rainfall Drop Size Distribution. / Ekerete, K'ufre-mfon E.; Hunt, Francis; Jeffery, Judith L. et al.

Wireless and Satellite Systems : 8th International Conference, WiSATS 2016, Proceedings. Vol. 186 LNICST Springer, 2017. p. 156-166 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 186 LNICST).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Specific Rain Attenuation Derived from a Gaussian Mixture Model for Rainfall Drop Size Distribution

AU - Ekerete, K'ufre-mfon E.

AU - Hunt, Francis

AU - Jeffery, Judith L.

AU - Otung, Ifiok

PY - 2017/3/24

Y1 - 2017/3/24

N2 - 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.

AB - 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.

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KW - Estimation and forecasting

KW - Probability distributions

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KW - Specific attenuation

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BT - Wireless and Satellite Systems

PB - Springer

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Y2 - 19 September 2016 through 20 September 2016

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Ekerete KE, Hunt F, Jeffery JL, Otung I. Specific Rain Attenuation Derived from a Gaussian Mixture Model for Rainfall Drop Size Distribution. In Wireless and Satellite Systems : 8th International Conference, WiSATS 2016, Proceedings. Vol. 186 LNICST. Springer. 2017. p. 156-166. (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST). doi: 10.1007/978-3-319-53850-1_17

Specific Rain Attenuation Derived from a Gaussian Mixture Model for Rainfall Drop Size Distribution

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