| A Recognition Method of Hydrometeor in Tropical Cyclones by Using the GPM Dual‐Frequency Precipitation Radar |
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| 引用本文： | 乔俊淇,艾未华,胡 雄,胡申森,严 卫. A Recognition Method of Hydrometeor in Tropical Cyclones by Using the GPM Dual‐Frequency Precipitation Radar[J]. 热带气象学报(英文版), 2021, 27(2): 161-168. DOI: 10.46267/j.1006-8775.2021.015 |
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| 作者姓名： | 乔俊淇 艾未华 胡 雄 胡申森 严 卫 |
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| 摘 要： | In this paper, we propose a fuzzy logic algorithm to recognize the types of hydrometeors by using ka and ku reflectivity factors, temperature thresholds and an asymmetric t-form membership function. the identifiable types of hydrometeors include snow, graupel, mixed-phase particles, large raindrops, and small raindrops. the reflectivity detection data of ka and ku with attenuation correction is from dual-frequency precipitation radar onboard the global precipitation measurement satellite. the temperature data from the European Centre for medium-range weather forecasts are used to identify the hydrometeors. and the identified hydrometeors are compared with the vertical profiles of phase from official level-2 DPR products. the results show that the identified hydrometeors are reasonable and reveal the evolution process of tropical cyclones, which can befurther applied to the study of precipitation microphysical process and artificial precipitation.
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| 关 键 词： | GPM DPR hydrometeor tropical cyclones fuzzy logical phase |
| 收稿时间： | 2021-02-06 |
A Recognition Method of Hydrometeor in Tropical Cyclones by Using the GPM Dual-Frequency Precipitation Radar |
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| QIAO Jun-qi,AI Wei-hu,HU Xiong,HU Shen-sen and YAN Wei. A Recognition Method of Hydrometeor in Tropical Cyclones by Using the GPM Dual-Frequency Precipitation Radar[J]. Journal of Tropical Meteorology, 2021, 27(2): 161-168. DOI: 10.46267/j.1006-8775.2021.015 |
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| Authors: | QIAO Jun-qi AI Wei-hu HU Xiong HU Shen-sen YAN Wei |
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| Affiliation: | College of Meteorology and Oceanography, National University of Defense Technology, Nanjing 211101 China |
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| Abstract: | In this paper, we propose a fuzzy logic algorithm to recognize the types of hydrometeors by using ka and ku reflectivity factors, temperature thresholds and an asymmetric t-form membership function. the identifiable types of hydrometeors include snow, graupel, mixed-phase particles, large raindrops, and small raindrops. the reflectivity detection data of ka and ku with attenuation correction is from dual-frequency precipitation radar onboard the global precipitation measurement satellite. the temperature data from the European Centre for medium-range weather forecasts are used to identify the hydrometeors. and the identified hydrometeors are compared with the vertical profiles of phase from official level-2 DPR products. the results show that the identified hydrometeors are reasonable and reveal the evolution process of tropical cyclones, which can befurther applied to the study of precipitation microphysical process and artificial precipitation. |
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| Keywords: | GPM DPR hydrometeor tropical cyclones fuzzy logical phase |
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