An estimation method of rain rate distributions is described to facilitate estimation of rain attenuation in terrestial and satellite communication systems using frequencies above 10 GHz. The results of this research are summarized as follows.
(1) Using observational data for rainfall, recorded by meteorological observatories located in various parts of Japan, data on rainfall differentiated by meteorological phenomena, such as thunderstorm rain, rain caused by typhoon and other sorts of rain and cumulative ten minute rain rate distribution were obtained.
(2) Using meteorological data regarding rain and other factors provided by meteorological observatories at various locations throughout Japan, P % level of cumulative ten minute rain rate distribution Rp, total amount of rainfall per average year E, number of thunderstorm rain days per average year Dts and number of rain days per average year caused by typhoon Dt, were, obtained. A statistical analysis was carried out on these data, and the empirical formula for Rp was derived therefrom, using E, Dts and Dt as parameters.
(3) Furthermore, using data regarding cumulative ten minute rain rate distribution for both one year and for the worst month at each location, the empirical formula was derived for relation between cumulative probability of rain rate for a year P(R)y and for a worst month P(R)wm for the same rain rate level.
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Kazuo MORITA, "A Method for Estimating Year and Worst-Month Rain Rate Distribution" in IEICE TRANSACTIONS on transactions,
vol. E61-E, no. 8, pp. 618-624, August 1978, doi: .
Abstract: An estimation method of rain rate distributions is described to facilitate estimation of rain attenuation in terrestial and satellite communication systems using frequencies above 10 GHz. The results of this research are summarized as follows.
(1) Using observational data for rainfall, recorded by meteorological observatories located in various parts of Japan, data on rainfall differentiated by meteorological phenomena, such as thunderstorm rain, rain caused by typhoon and other sorts of rain and cumulative ten minute rain rate distribution were obtained.
(2) Using meteorological data regarding rain and other factors provided by meteorological observatories at various locations throughout Japan, P % level of cumulative ten minute rain rate distribution Rp, total amount of rainfall per average year E, number of thunderstorm rain days per average year Dts and number of rain days per average year caused by typhoon Dt, were, obtained. A statistical analysis was carried out on these data, and the empirical formula for Rp was derived therefrom, using E, Dts and Dt as parameters.
(3) Furthermore, using data regarding cumulative ten minute rain rate distribution for both one year and for the worst month at each location, the empirical formula was derived for relation between cumulative probability of rain rate for a year P(R)y and for a worst month P(R)wm for the same rain rate level.
URL: https://global.ieice.org/en_transactions/transactions/10.1587/e61-e_8_618/_p
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@ARTICLE{e61-e_8_618,
author={Kazuo MORITA, },
journal={IEICE TRANSACTIONS on transactions},
title={A Method for Estimating Year and Worst-Month Rain Rate Distribution},
year={1978},
volume={E61-E},
number={8},
pages={618-624},
abstract={An estimation method of rain rate distributions is described to facilitate estimation of rain attenuation in terrestial and satellite communication systems using frequencies above 10 GHz. The results of this research are summarized as follows.
(1) Using observational data for rainfall, recorded by meteorological observatories located in various parts of Japan, data on rainfall differentiated by meteorological phenomena, such as thunderstorm rain, rain caused by typhoon and other sorts of rain and cumulative ten minute rain rate distribution were obtained.
(2) Using meteorological data regarding rain and other factors provided by meteorological observatories at various locations throughout Japan, P % level of cumulative ten minute rain rate distribution Rp, total amount of rainfall per average year E, number of thunderstorm rain days per average year Dts and number of rain days per average year caused by typhoon Dt, were, obtained. A statistical analysis was carried out on these data, and the empirical formula for Rp was derived therefrom, using E, Dts and Dt as parameters.
(3) Furthermore, using data regarding cumulative ten minute rain rate distribution for both one year and for the worst month at each location, the empirical formula was derived for relation between cumulative probability of rain rate for a year P(R)y and for a worst month P(R)wm for the same rain rate level.},
keywords={},
doi={},
ISSN={},
month={August},}
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TY - JOUR
TI - A Method for Estimating Year and Worst-Month Rain Rate Distribution
T2 - IEICE TRANSACTIONS on transactions
SP - 618
EP - 624
AU - Kazuo MORITA
PY - 1978
DO -
JO - IEICE TRANSACTIONS on transactions
SN -
VL - E61-E
IS - 8
JA - IEICE TRANSACTIONS on transactions
Y1 - August 1978
AB - An estimation method of rain rate distributions is described to facilitate estimation of rain attenuation in terrestial and satellite communication systems using frequencies above 10 GHz. The results of this research are summarized as follows.
(1) Using observational data for rainfall, recorded by meteorological observatories located in various parts of Japan, data on rainfall differentiated by meteorological phenomena, such as thunderstorm rain, rain caused by typhoon and other sorts of rain and cumulative ten minute rain rate distribution were obtained.
(2) Using meteorological data regarding rain and other factors provided by meteorological observatories at various locations throughout Japan, P % level of cumulative ten minute rain rate distribution Rp, total amount of rainfall per average year E, number of thunderstorm rain days per average year Dts and number of rain days per average year caused by typhoon Dt, were, obtained. A statistical analysis was carried out on these data, and the empirical formula for Rp was derived therefrom, using E, Dts and Dt as parameters.
(3) Furthermore, using data regarding cumulative ten minute rain rate distribution for both one year and for the worst month at each location, the empirical formula was derived for relation between cumulative probability of rain rate for a year P(R)y and for a worst month P(R)wm for the same rain rate level.
ER -