During the passage of Typhoon Nida, the raindrop size distribution parameters, the raindrop spectra, the shape and slope (mu-?) 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 D-m that was smaller than those of other TCs from the same ocean (the Pacific). The mu-? 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.
机构:
Guangzhou Institute of Tropical and Marine Meteorology,China Meteorological Administration
Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction,China Meteorological AdministrationGuangzhou Institute of Tropical and Marine Meteorology,China Meteorological Administration
Lu FENG
Hui XIAO
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Guangzhou Institute of Tropical and Marine Meteorology,China Meteorological Administration
Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction,China Meteorological AdministrationGuangzhou Institute of Tropical and Marine Meteorology,China Meteorological Administration
Hui XIAO
Xiantong LIU
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机构:
Guangzhou Institute of Tropical and Marine Meteorology,China Meteorological Administration
Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction,China Meteorological AdministrationGuangzhou Institute of Tropical and Marine Meteorology,China Meteorological Administration
Xiantong LIU
Sheng HU
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机构:
Guangzhou Institute of Tropical and Marine Meteorology,China Meteorological Administration
Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction,China Meteorological AdministrationGuangzhou Institute of Tropical and Marine Meteorology,China Meteorological Administration
Sheng HU
Huiqi LI
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机构:
Guangzhou Institute of Tropical and Marine Meteorology,China Meteorological Administration
Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction,China Meteorological AdministrationGuangzhou Institute of Tropical and Marine Meteorology,China Meteorological Administration
Huiqi LI
Liusi XIAO
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Guangzhou Meteorological Observatory,China Meteorological AdministrationGuangzhou Institute of Tropical and Marine Meteorology,China Meteorological Administration
Liusi XIAO
Xiao HAO
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机构:
Guangzhou Meteorological Observatory,China Meteorological AdministrationGuangzhou Institute of Tropical and Marine Meteorology,China Meteorological Administration