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Climatologies of Mesoscale Convective Systems over China Observed by Spaceborne Radars.
- Source :
-
Monthly Weather Review . Oct2022, Vol. 150 Issue 10, p2697-2717. 21p. 1 Diagram, 2 Charts, 6 Graphs, 8 Maps. - Publication Year :
- 2022
-
Abstract
- This study investigates the characteristics of mesoscale convective systems (MCSs) as a function of MCS organizational mode over China, using long-term precipitation radar observations from the Tropical Rainfall Measuring Mission (TRMM) and Global Precipitation Measurement Mission (GPM). The spaceborne radar-based MCS climatology shows maximum population over low-elevation regions, marked decrease over the foothills, and minimum frequency over the Tibetan Plateau. Linear and nonlinear MCSs account for 17% and 83% of the MCSs over China, respectively. Linear MCSs have much stronger convective intensity and heavier precipitation than nonlinear MCSs, as indicated by TRMM convective proxies. Interestingly, though broad-stratiform MCSs have the weakest convection, they produce the heaviest (maximum) rain rate and the largest amount of heavy rainfall among nonlinear MCSs. Among various types of linear MCSs, bow echoes (BEs) and no-stratiform (NS) systems exhibit the strongest convective intensity, embedded lines exhibit the weakest, and convective lines with trailing/leading stratiform in between. BEs and NSs share the most vertically extended structure, strongest microwave ice scattering, and highest lightning flash rates, but NS systems have a much lower surface rain rate likely due to a drier environment. Vertical radar reflectivity profiles suggest that both ice-based and warm-rain processes play an important role in the precipitation processes of linear MCSs over China, including the most intense BE storms. In short, this study helps to better understand the convective organization, precipitation structure, and ensemble microphysical properties of MCSs over China, and potentially provides guidelines for evaluating high-resolution model simulations and satellite rainfall retrievals for monsoonal MCSs. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00270644
- Volume :
- 150
- Issue :
- 10
- Database :
- Academic Search Index
- Journal :
- Monthly Weather Review
- Publication Type :
- Academic Journal
- Accession number :
- 160138192
- Full Text :
- https://doi.org/10.1175/MWR-D-22-0002.1