Precipitation Microphysics of Locally-Originated Typhoons in the South China Sea Based on GPM Satellite Observations

Locally-originated typhoons in the South China Sea (SCS) are characterized by long duration, complex track, and high probability of landfall, which tend to cause severe wind, rainstorm, and flood disasters in coastal regions. Therefore, it is of great significance to conduct research on typhoon precipitation microphysics in the SCS. Using GPM satellite observations, the precipitation microphysics of typhoons in the SCS are analyzed by combining case and statistical studies. The precipitation of Typhoon Ewiniar (2018) in the SCS is found to be highly asymmetric. In the eyewall, the updraft is strong, the coalescence process of particles is distinct, and the precipitation is mainly concentrated in large raindrops. In the outer rainbands, the “bright-band” of melting layer is distinct, the melting of ice particles and the evaporation of raindrops are distinct, and there exist a few large raindrops in the precipitation. Overall, the heavy precipitation of typhoons in the SCS is composed of higher concentration of smaller raindrops than that in the western Pacific (WP), leading to a more “oceanic deep convective” feature of typhoons in the SCS. While the heavy precipitation of typhoons in the SCS is both larger in drop size and number concentration than that in the North Indian Ocean (NIO), leading to more abundant rainwater of typhoons in the SCS. For the relatively weak precipitation (R < 10 mm h−1), the liquid water path (LWP) of typhoons in the SCS is higher than that of the NIO, while the ice water path (IWP) of the locally-originated typhoons in the SCS is lower than that of the WP. For the heavy precipitation (R ≥ 10 mm h−1), the LWP and IWP of typhoons in the SCS are significantly higher than those in the WP and NIO.

[1]  Balaji Kumar Seela,et al.  An insight into the microphysical attributes of northwest Pacific tropical cyclones , 2023, Scientific Reports.

[2]  Hui Xiao,et al.  Precipitation Microphysical Characteristics of Typhoon Ewiniar (2018) before and after Its Final Landfall over Southern China , 2023, Advances in Atmospheric Sciences.

[3]  S. Das,et al.  Regional variability of precipitation characteristics in Tropical Cyclones over the North Indian Ocean from GPM-DPR measurements , 2022, Atmospheric Research.

[4]  Zuhang Wu,et al.  Improving the WRF Forecast of Landfalling Tropical Cyclones Over the Asia‐Pacific Region by Constraining the Cloud Microphysics Model With GPM Observations , 2022, Geophysical Research Letters.

[5]  S. Niu,et al.  Variations of Raindrop Size Distribution and Radar Retrieval in Outer Rainbands of Typhoon Mangkhut (2018) , 2022, Journal of Meteorological Research.

[6]  Yilun Chen,et al.  Precipitation Microphysics of Tropical Cyclones over Northeast China in 2020 , 2022, Remote. Sens..

[7]  Zuhang Wu,et al.  A Comparison of Spectral Bin Microphysics versus Bulk Parameterization in Forecasting Typhoon In-Fa (2021) before, during, and after Its Landfall , 2022, Remote. Sens..

[8]  Zuhang Wu,et al.  A Comparison of Convective and Stratiform Precipitation Microphysics of the Record-breaking Typhoon In-Fa (2021) , 2022, Remote. Sens..

[9]  Hengchi Lei,et al.  Precipitation characteristics of typhoon Lekima (2019) at landfall revealed by joint observations from GPM satellite and S-band radar , 2021 .

[10]  B. Sohn,et al.  Global Distribution of Three Types of Drop Size Distribution Representing Heavy Rainfall From GPM/DPR Measurements , 2021, Geophysical Research Letters.

[11]  Noah S. Brauer,et al.  The Inland Maintenance and Re-intensification of Tropical Storm Bill (2015) Part 2: Precipitation Microphysics , 2021 .

[12]  L. Bai,et al.  Western North Pacific Tropical Cyclone Database Created by the China Meteorological Administration , 2021, Advances in Atmospheric Sciences.

[13]  Hengchi Lei,et al.  Precipitation Microphysical Processes in the Inner Rainband of Tropical Cyclone Kajiki (2019) over the South China Sea Revealed by Polarimetric Radar , 2020, Advances in Atmospheric Sciences.

[14]  Liguang Wu,et al.  Variable Raindrop Size Distributions in Different Rainbands Associated With Typhoon Fitow (2013) , 2019, Journal of Geophysical Research: Atmospheres.

[15]  Zuhang Wu,et al.  Validation of GPM Precipitation Products by Comparison with Ground-Based Parsivel Disdrometers over Jianghuai Region , 2019, Water.

[16]  Yanqiong Xie,et al.  Characteristics of Summer Season Raindrop Size Distribution in Three Typical Regions of Western Pacific , 2019, Journal of Geophysical Research: Atmospheres.

[17]  Fengjiao Chen,et al.  Precipitation Microphysics of Tropical Cyclones Over the Western North Pacific Based on GPM DPR Observations: A Preliminary Analysis , 2019, Journal of Geophysical Research: Atmospheres.

[18]  Matthew R. Kumjian,et al.  Examining Storm Asymmetries in Hurricane Irma (2017) Using Polarimetric Radar Observations , 2018, Geophysical Research Letters.

[19]  Long Wen,et al.  Drop Size Distribution Characteristics of Seven Typhoons in China , 2018, Journal of Geophysical Research: Atmospheres.

[20]  Dan Wu,et al.  Kinematics and Microphysics of Convection in the Outer Rainband of Typhoon Nida (2016) Revealed by Polarimetric Radar , 2018, Monthly Weather Review.

[21]  K. V. Subrahmanyam,et al.  CloudSat Observations of Three-Dimensional Distribution of Cloud Types in Tropical Cyclones , 2018, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[22]  Guifu Zhang,et al.  Precipitation microphysics characteristics of a Typhoon Matmo (2014) rainband after landfall over eastern China based on polarimetric radar observations , 2016 .

[23]  Wei Zhang,et al.  An Overview of the China Meteorological Administration Tropical Cyclone Database , 2014 .

[24]  Clemens Simmer,et al.  PARSIVEL Snow Observations: A Critical Assessment , 2010 .

[25]  Pay-Liam Lin,et al.  Characteristics of the Raindrop Size Distribution and Drop Shape Relation in Typhoon Systems in the Western Pacific from the 2D Video Disdrometer and NCU C-Band Polarimetric Radar , 2009 .

[26]  P. May,et al.  Polarimetric Radar Observations of the Persistently Asymmetric Structure of Tropical Cyclone Ingrid , 2008 .

[27]  S. Fujiwhara,et al.  The natural tendency towards symmetry of motion and its application as a principle in meteorology , 2007 .

[28]  Takis Kasparis,et al.  Raindrop Size Distribution Measurements in Tropical Cyclones , 2006 .

[29]  Eugenio Gorgucci,et al.  Raindrop Size Distribution in Different Climatic Regimes from Disdrometer and Dual-Polarized Radar Analysis , 2003 .

[30]  B. Morton,et al.  South China Sea. , 2001, Marine pollution bulletin.

[31]  D. Short,et al.  Evidence from Tropical Raindrop Spectra of the Origin of Rain from Stratiform versus Convective Clouds , 1996 .

[32]  Yanqiong Xie,et al.  Radiance-based assessment of bulk microphysics models with seven hydrometeor species in forecasting Super-typhoon Lekima (2019) near landfall , 2022, Atmospheric Research.

[33]  Haonan Chen,et al.  Validation of Precipitation Measurements From the Dual-Frequency Precipitation Radar Onboard the GPM Core Observatory Using a Polarimetric Radar in South China , 2021, IEEE Transactions on Geoscience and Remote Sensing.