Rainfall Characteristics Joint Regionalization Based on MST-Clustering Algorithm for Rain Attenuation Prediction

Yu Long Zhang; Jian Zhang

doi:10.4028/www.scientific.net/AMM.543-547.1694

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 543-547Rainfall Characteristics Joint Regionalization...

Rainfall Characteristics Joint Regionalization Based on MST-Clustering Algorithm for Rain Attenuation Prediction

Abstract:

Rain attenuation prediction model of earth-satellite link, based on numerical weather forecast (NMF) statistics, require regionalization synthesizing the precipitation, rain-top height , and rainfall pattern (or time distribution) information, which ITU regionalization ignored. Thus, based on the MST-Clustering regionalization of average precipitation ,the mean delta binary (MDB) coding is presented to record rainfall pattern information, and Rainfall Characteristics Joint Regionalization is put forward to combine the precipitation and rain-top information. Finally, on the basis of Chinese meteorological monthly statistics, the Rainfall Characteristics Region Map is given, which is the essential step in the rain attenuation prediction model based on NMF statistics.

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Periodical:

Applied Mechanics and Materials (Volumes 543-547)

Pages:

1694-1697

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.543-547.1694

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Online since:

March 2014

Authors:

Yu Long Zhang*, Jian Zhang

Keywords:

Attenuation by Rain, Earth-Satellite Link, MST-Clustering, Regionalization

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* - Corresponding Author

References

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