Unveiling Scale‐Dependent Precipitation Microphysics in Typhoon Doksuri (2023) Using Polarimetric Radar Observations

Abstract Extending previous work focused on tropical cyclone (TC) rainband distinctions, this study employs polarimetric radar observations to examine the multiscale microphysical characteristics of Typhoon Doksuri (2023). The mean vertical profiles of polarimetric variables differ substantially between the inner‐core and outer‐rainband regions, owing to the different proportions and contributions of convection at various scales. However, a key finding is that convection at equivalent spatial scale (such as cyclonic, meso‐β, or meso‐γ scale) exhibits largely consistent microphysical signatures, including drop size, number concentration, and precipitation intensity. This scale‐dependent consistency arises from a systematic inverse relationship between convective spatial scale and both intensity and vertical depth: stronger and deeper convection typically occupies a more limited horizontal area. Consequently, meso‐γ‐scale convective cells, whether embedded in the inner core or outer TC rainbands, produce comparably intense radar signatures of heavy rainfall. Thus, we conclude that the differences in the mean radar profiles between the inner‐core and outer‐rainband regions are attributable to the differing proportions of convection at various scales. These results highlight the fundamentally multiscale nature of TC convection and serve as a potential application of scale‐aware, radar‐based quantitative precipitation estimation (QPE).

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Publication Details

Journal
Journal of Geophysical Research Atmospheres
Published
2026-11-01
DOI
https://doi.org/10.1029/2026jd046774
Primary Topic
Precipitation Measurement and Analysis
Type
article
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article

Unveiling Scale‐Dependent Precipitation Microphysics in Typhoon Doksuri (2023) Using Polarimetric Radar Observations

Xuwei Bao, Guanghua Chen, Xinyan Zhang, Hebin Huang
Journal of Geophysical Research Atmospheres
Precipitation Measurement and Analysis
article

Unveiling Scale‐Dependent Precipitation Microphysics in Typhoon Doksuri (2023) Using Polarimetric Radar Observations

Xuwei Bao, Guanghua Chen, Xinyan Zhang, Hebin Huang
article en

Abstract

Abstract Extending previous work focused on tropical cyclone (TC) rainband distinctions, this study employs polarimetric radar observations to examine the multiscale microphysical characteristics of Typhoon Doksuri (2023). The mean vertical profiles of polarimetric variables differ substantially between the inner‐core and outer‐rainband regions, owing to the different proportions and contributions of convection at various scales. However, a key finding is that convection at equivalent spatial scale (such as cyclonic, meso‐β, or meso‐γ scale) exhibits largely consistent microphysical signatures, including drop size, number concentration, and precipitation intensity. This scale‐dependent consistency arises from a systematic inverse relationship between convective spatial scale and both intensity and vertical depth: stronger and deeper convection typically occupies a more limited horizontal area. Consequently, meso‐γ‐scale convective cells, whether embedded in the inner core or outer TC rainbands, produce comparably intense radar signatures of heavy rainfall. Thus, we conclude that the differences in the mean radar profiles between the inner‐core and outer‐rainband regions are attributable to the differing proportions of convection at various scales. These results highlight the fundamentally multiscale nature of TC convection and serve as a potential application of scale‐aware, radar‐based quantitative precipitation estimation (QPE).

Journal of Geophysical Research AtmospheresVol. 131(21)
China Meteorological Administration (CN), Chinese Academy of Sciences (CN), Institute of Atmospheric Physics (CN), University of Chinese Academy of Sciences (CN), Shanghai Typhoon Institute (CN)
Openalex Percentile: Top 20%
Precipitation Measurement and Analysis
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Unveiling Scale‐Dependent Precipitation Microphysics in Typhoon Doksuri (2023) Using Polarimetric Radar Observations — Xuwei Bao, Guanghua Chen, et al. · Journal of Geophysical Research Atmospheres (2026) | TGRS Research Map | TGRS