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Time Correlation Used to Improve Time Diversity Gain of Rainfall Prediction

Time Correlation Used to Improve Time Diversity Gain of Rainfall Prediction

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Advances in Communications Satellite Systems Proceedings of The 36th International Communications Satellite Systems Conference (ICSSC-2018) — Recommend this title to your library

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Correlation of the rainfall rate with time depends on geography, environment, and the type of rainfall. In this letter, we consider the use of such a correlation to improve the time diversity gain of a system that predicts rainfall over Japan. From a rain may with 4 years of data, we selected 43 locations throughout mainland Japan, and from these data, we derived the cumulative time percentage, the diversity gain from a time diversity method using 10 to 120 min delays, and the correlation from a time series of rainfall. This information is used to improve the prediction of rainfall. Root-mean-square errors show an improvement in the diversity gain.

Inspec keywords: mean square error methods; diversity reception; rain; time series

Other keywords: rainfall rate; time 4.0 year; time 10.0 min to 120.0 min; time series; cumulative time percentage; time correlation; time diversity method; rainfall prediction; time diversity gain

Subjects: Water in the atmosphere (humidity, clouds, evaporation, precipitation); Interpolation and function approximation (numerical analysis); Other topics in statistics; Other topics in statistics; Interpolation and function approximation (numerical analysis); Instrumentation and techniques for geophysical, hydrospheric and lower atmosphere research

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