4.7 Article

Contrasting Mesoscale Convective System Features of Two Successive Warm-Sector Rainfall Episodes in Southeastern China: A Satellite Perspective

期刊

REMOTE SENSING
卷 14, 期 21, 页码 -

出版社

MDPI
DOI: 10.3390/rs14215434

关键词

mesoscale convective system; warm-sector rainfall; Himawari-8 satellite; southeastern China

资金

  1. National Natural Science Foundation of China [41905049]
  2. China Postdoctoral Science Foundation [2021M702725]
  3. Xiamen Science and Technology Program [3502Z20206079]
  4. MEL Outstanding Postdoctoral Scholarship from Xiamen University

向作者/读者索取更多资源

Based on observations from the Himawari-8 satellite, this study compares the behavior of mesoscale convective systems (MCS) in two consecutive warm-sector rainfall episodes in southeastern China. The results indicate that MCS played a dominant role in the second episode, contributing to the majority of extreme rainfall, while their contribution was limited in the first episode. The study proposes two new indices, the overlap index (OLI) and merging potential index (MPI), which show that the MCS processes in the second episode were significantly different and had a greater impact on rainfall production compared to the first episode.
Based on Himawari-8 satellite observations, the mesoscale convective system (MCS) behaviors of two successive but distinct warm-sector rainfall episodes (EP1 and EP2) on 6-7 May 2018 over southeastern China were compared, with the latter episode being a record-breaking rainfall event. Results showed that MCSs played a dominant role in EP2, but not in EP1, by contributing over 80% of the extreme rainfall total and all the 10-min rainfalls over 20 mm. MCS occurrences were more frequent in EP2 than EP1, especially in the coastal rainfall hotspots, along with more frequent merging processes. Overall, the MCS samples in EP2 were larger in size, more intense, and moved slower and more in parallel to their orientation, which facilitated local rainfall accumulation. Two new indices are proposed-the overlap index (OLI) and merging potential index (MPI)-to evaluate two MCS processes vital for rainfall production: the repeated passage of an individual MCS over given areas and the merging between MCSs, respectively. Both OLI and MPI in EP2 were significantly larger than in EP1, which tended to produce larger maximum rainfall amount and stronger 10-min rain rates in the following hour. These results demonstrate the potential value of satellite-based MCS information for heavy rainfall nowcasting, which is particularly significant for warm-sector rainfall with its limited predictability.

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