Distribution characteristics of minute rainfall rate in Anhui Province

LUO Xichang; YANG Bin; ZHANG Yusheng; WANG Chuanhui; YAO Yeqing

doi:10.13443/j.cjors.2020103001

Volume 35 Issue 6

Dec. 2020

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CHINESE JOURNAL OF RADIO SCIENCE > 2020 > 35(6): 908-913. > DOI: 10.13443/j.cjors.2020103001

LUO Xichang, YANG Bin, ZHANG Yusheng, WANG Chuanhui, YAO Yeqing. Distribution characteristics of minute rainfall rate in Anhui Province[J]. CHINESE JOURNAL OF RADIO SCIENCE, 2020, 35(6): 908-913. doi: 10.13443/j.cjors.2020103001

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Distribution characteristics of minute rainfall rate in Anhui Province

1.
Anhui Public Meteorological Service Center, Hefei 230000, China
2.
National Key Laboratory of Electromagnetic Environment, China Research Institute of Radiowave Propagation, Qingdao 266107, China

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Received Date: October 29, 2020
Available Online: January 08, 2021
Published Date: December 29, 2020

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Abstract

Abstract

Using the measured minute rainfall data of 81 national meteorological stations in Anhui Province from 2017 to 2019, we calculate the cumulative distribution of minute rainfall rate at the station, and analyze the temporal and spatial distribution characteristics of minute rainfall rate in Anhui Province. Finally, the measured rainfall rate is compared with the prediction result of the ITU rainfall rate model. The results show that the cumulative distribution of minute rainfall rate in mountainous areas in Anhui Province is generally higher than that in other regions. The eastern part of the Huaibei Plain shows a higher cumulative distribution of minute rainfall rates within 0.03% of the time percentage. In mountainous areas, affected by terrain rainfall, the minute rainfall rate at high altitudes is generally higher than that at low altitudes. The interannual variability of R(0.01) in the plain area is more significant than that in other areas. The worst months of the province's rainfall rate are August, July and June. The distribution of the measured minute rainfall rate is generally consistent with the ITU model prediction results. Within 0.03% of the time, the model prediction results are generally low; in the Huaibei Plain and high altitude areas in the mountains, and the model prediction results have large errors.
- minute rainfall rate,
- temporal and spatial distribution,
- topographic rainfall,
- worst month,
- interannual variation

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