Characteristics of Raindrop Size Distribution in Typhoon Nida (2016) before and after Landfall in Southern China from 2D Video Disdrometer Data
During the passage of Typhoon Nida, the raindrop size distribution parameters, the raindrop spectra, the shape and slope (μ–Λ) relationship, the radar reflectivity factor, and rain rate (Z–R) relationship were investigated based on a two-dimensional (2D) video disdrometer in Guangdong, China, from A...
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Advances in Meteorology |
| Online Access: | http://dx.doi.org/10.1155/2021/9349738 |
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| author | Lu Feng Xiantong Liu Hui Xiao Liusi Xiao Feng Xia Xiao Hao Haiqi Lu Chenxian Zhang |
| author_facet | Lu Feng Xiantong Liu Hui Xiao Liusi Xiao Feng Xia Xiao Hao Haiqi Lu Chenxian Zhang |
| author_sort | Lu Feng |
| collection | DOAJ |
| description | During the passage of Typhoon Nida, the raindrop size distribution parameters, the raindrop spectra, the shape and slope (μ–Λ) relationship, the radar reflectivity factor, and rain rate (Z–R) relationship were investigated based on a two-dimensional (2D) video disdrometer in Guangdong, China, from August 1 to 2, 2016. Due to the underlying surface difference between the ocean and land, this process was divided into two distinct periods (before landfall and after landfall). The characteristics of raindrop size distribution between the period before landfall and the period after landfall were quite distinct. The period after landfall exhibited higher concentrations of each size bin (particularly small drops) and wider raindrop spectral width than the period before landfall. Compared with the period before landfall, the period after landfall had a higher average mass-weighted mean diameter Dm that was smaller than those of other TCs from the same ocean (the Pacific). The μ–Λ relationship and Z–R relationship in this study were also compared with other TCs from the same ocean (the Pacific). This investigation of the microphysical characteristics of Typhoon Nida before landfall and after landfall may improve radar quantitative precipitation estimation (QPE) products and microphysical schemes by providing useful information. |
| format | Article |
| id | doaj-art-ff5567ad02354685ba9ebd3701a7e6c3 |
| institution | Kabale University |
| issn | 1687-9309 1687-9317 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Meteorology |
| spelling | doaj-art-ff5567ad02354685ba9ebd3701a7e6c32025-02-03T01:25:15ZengWileyAdvances in Meteorology1687-93091687-93172021-01-01202110.1155/2021/93497389349738Characteristics of Raindrop Size Distribution in Typhoon Nida (2016) before and after Landfall in Southern China from 2D Video Disdrometer DataLu Feng0Xiantong Liu1Hui Xiao2Liusi Xiao3Feng Xia4Xiao Hao5Haiqi Lu6Chenxian Zhang7Guangzhou Institute of Tropical and Marine Meteorology, China Meteorological Administration, Guangzhou 510641, ChinaGuangzhou Institute of Tropical and Marine Meteorology, China Meteorological Administration, Guangzhou 510641, ChinaGuangzhou Institute of Tropical and Marine Meteorology, China Meteorological Administration, Guangzhou 510641, ChinaGuangzhou Meteorological Observatory, China Meteorological Administration, Guangzhou 511430, ChinaGuangzhou Institute of Tropical and Marine Meteorology, China Meteorological Administration, Guangzhou 510641, ChinaGuangzhou Meteorological Observatory, China Meteorological Administration, Guangzhou 511430, ChinaJieyang Meteorological Bureau, China Meteorological Administration, Jieyang, Guangdong 515500, ChinaQingyuan Meteorological Observatory, China Meteorological Administration, Qingyuan, Guangdong 511518, ChinaDuring the passage of Typhoon Nida, the raindrop size distribution parameters, the raindrop spectra, the shape and slope (μ–Λ) relationship, the radar reflectivity factor, and rain rate (Z–R) relationship were investigated based on a two-dimensional (2D) video disdrometer in Guangdong, China, from August 1 to 2, 2016. Due to the underlying surface difference between the ocean and land, this process was divided into two distinct periods (before landfall and after landfall). The characteristics of raindrop size distribution between the period before landfall and the period after landfall were quite distinct. The period after landfall exhibited higher concentrations of each size bin (particularly small drops) and wider raindrop spectral width than the period before landfall. Compared with the period before landfall, the period after landfall had a higher average mass-weighted mean diameter Dm that was smaller than those of other TCs from the same ocean (the Pacific). The μ–Λ relationship and Z–R relationship in this study were also compared with other TCs from the same ocean (the Pacific). This investigation of the microphysical characteristics of Typhoon Nida before landfall and after landfall may improve radar quantitative precipitation estimation (QPE) products and microphysical schemes by providing useful information.http://dx.doi.org/10.1155/2021/9349738 |
| spellingShingle | Lu Feng Xiantong Liu Hui Xiao Liusi Xiao Feng Xia Xiao Hao Haiqi Lu Chenxian Zhang Characteristics of Raindrop Size Distribution in Typhoon Nida (2016) before and after Landfall in Southern China from 2D Video Disdrometer Data Advances in Meteorology |
| title | Characteristics of Raindrop Size Distribution in Typhoon Nida (2016) before and after Landfall in Southern China from 2D Video Disdrometer Data |
| title_full | Characteristics of Raindrop Size Distribution in Typhoon Nida (2016) before and after Landfall in Southern China from 2D Video Disdrometer Data |
| title_fullStr | Characteristics of Raindrop Size Distribution in Typhoon Nida (2016) before and after Landfall in Southern China from 2D Video Disdrometer Data |
| title_full_unstemmed | Characteristics of Raindrop Size Distribution in Typhoon Nida (2016) before and after Landfall in Southern China from 2D Video Disdrometer Data |
| title_short | Characteristics of Raindrop Size Distribution in Typhoon Nida (2016) before and after Landfall in Southern China from 2D Video Disdrometer Data |
| title_sort | characteristics of raindrop size distribution in typhoon nida 2016 before and after landfall in southern china from 2d video disdrometer data |
| url | http://dx.doi.org/10.1155/2021/9349738 |
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