PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
May 20, 2026Remote Sensing0 citationsOpen Access

Characterizing Stratiform and Convective Precipitation Based on Multi-Source Observations in South Coastal China During 2022–2023

View Full Paper
XLXiaofeng LiXXXinxin XieYLYing Liu

Key Points

  • This research aims to characterize the differences between stratiform and convective rainfall based on multi-source observations in South China.
  • Analyzed rainfall observations from an OTT Parsivel2 disdrometer and Micro Rain Radar–2 in Zhuhai during 2022-2023.
  • Compared characteristics of stratiform rainfall (SR) and convective rainfall (CR) based on rain rate, mass-weighted mean diameter, and normalized intercept parameter.
  • Utilized vertical rain profiles from MRR and Global Precipitation Measurement Dual-frequency Precipitation Radar for evaluation.
  • Stratiform rainfall lasts longer but contributes less to total rainfall, with RR &lt; 5 mm h−1 accounting for 27% of occurrences and <10% of rainfall.
  • Convective rainfall, with RR &gt; 8 mm h−1 only 7% of occurrences, contributes over 45% of total rainfall.
  • CR shows larger rain rates, radar reflectivity, and stronger vertical variability compared to SR.

Abstract

South China is characterized by abundant and complex precipitation, with frequent typhoons, heavy rainfall, and pronounced extreme events, making it an ideal region for precipitation microphysics research. This study uses rainfall observations from an OTT Parsivel2 (Parsivel) laser disdrometer and a Micro Rain Radar–2 (MRR–2) collected in Zhuhai during 2022–2023 to analyze the characteristics of stratiform rainfall (SR) and convective rainfall (CR). The results show that, although SR lasts longer, CR contributes much more to the total accumulated rainfall. In SR, samples with rain rate (RR) 8 mm h−1 represent only 7% of occurrences but contribute more than 45% of the accumulated rainfall. CR is characterized by a larger mass-weighted mean diameter (Dm), while SR shows a higher normalized intercept parameter (Nw). In SR, Dm increases with RR, whereas Nw changes little; in CR, both Dm and Nw increase with RR. Finally, by analyzing temporal/spatial collocated vertical rain profiles from MRR and Global Precipitation Measurement Dual-frequency Precipitation Radar (GPM DPR), the results show that CR exhibits larger RR, radar reflectivity and stronger vertical variability than SR, along with greater variations in Dm and log10(Nw). Ground-based MRR also provides an independent vertical reference for evaluating DPR-derived precipitation structure and interpreting the consistency and discrepancies between satellite and ground-based observations. Although the results are not conclusive due to a limited number of events, both instruments capture distinct microphysical characteristics in the analyzed SR and CR cases, despite differences in their retrieved vertical DSD structures.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Li et al. (2026) studied this question.

synapsesocial.com/papers/6a0d50aef03e14405aa9c9c4https://doi.org/10.3390/rs18101601
Ask AI
Helpful
Bookmark
Share
View Full Paper