Yilun Chen

Dr. Yilun Chen

Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai 519082, China
orcid

Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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30 January 2020 in Atmospheric Chemistry and Physics
Verified
Journal Article
Open access
PDF file
Yilun ChenYilun Chen
Yilun Chen
GCGuangcan Chen
Guangcan Chen
CCChunguang Cui
Chunguang Cui
AZAoqi Zhang
Aoqi Zhang
RWRong Wan
Rong Wan
YFYunfei Fu
Yunfei Fu
The vertical evolution of the cloud effective radius (Re) reflects the precipitation-forming process. Based on observations from the first Chinese next-generation geostationary meteorological satellites (FY-4A, Feng Yun 4), we established a new method for objectively obtaining the vertical temperature vs. Re profile. First of all, Re was calculated using a bispectral lookup table. Then, cloud clusters were objectively identified using the maximum temperature gradient method. Finally, the Re profile in a certain cloud was then obtained by combining these two sets of data. Compared with the conventional method used to obtain the Re profile from the subjective division of a region, objective cloud-cluster identification establishes a unified standard, increases the credibility of the Re profile, and facilitates the comparison of different Re profiles. To investigate its performance, we selected a heavy precipitation event from the Integrative Monsoon Frontal Rainfall Experiment in summer 2018. The results showed that the method successfully identified and tracked the cloud cluster. The Re profile showed completely different morphologies in different life stages of the cloud cluster, which is important in the characterization of the formation of precipitation and the temporal evolution of microphysical processes.

6 August 2020 in Journal of Geophysical Research: Atmospheres
Verified
Journal Article
Open access
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Yilun ChenYilun Chen
Yilun Chen
Aoqi ZhangAoqi Zhang
Aoqi Zhang
YZYuheng Zhang
Yuheng Zhang
CCChunguang Cui
Chunguang Cui
RWRong Wan
Rong Wan
YFYunfei Fu
Yunfei Fu
From 29 June to 6 July 2016, China's Yangtze River Basin experienced heavy precipitation, causing more than 200 deaths and affecting tens of millions of people. Using ERA5 reanalysis, soundings, and satellite observations from FY‐2 and Global Precipitation Measurement (GPM), we reviewed this heavy rainfall event from the perspective of its meteorological triggers and the cloud microphysics. As the cloud system moved eastward from the Tibetan Plateau, precipitation particles got larger and denser, and the enhancement of stratiform precipitation contributed the most precipitation. The riming and aggregation processes, the dominant growth modes of particles, were significantly enhanced between 5.5 and 7 km. The increase in the echo‐top height had a considerable positive effect on the near‐surface particle size (from ~1.0 mm at 4 km to ~1.5 mm at 10 km), but this feature was not significant over the Tibetan Plateau. We suggest that the microphysics of this event was dominated by the combination of the eastward moving cloud system, which acted as continuous “seeder” cloud, and the increase in water vapor associated with the low‐level vortex and jet, which generated enhancing “feeder” cloud. The particles from the “seeder” cloud grew by the lower “feeder” cloud, thus increasing the particle size to enhance the precipitation. Overall, the generation and movement of such a cloud system is an important atmospheric disturbance for the generation of heavy precipitation downstream, and could be an early warning signal in the forecasting of heavy rainfall in China during the Meiyu period.


28 February 2017 in International Journal of Climatology
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Journal Article
Closed access
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Yilun ChenYilun Chen
Yilun Chen
YFYunfei Fu
Yunfei Fu
TXTao Xian
Tao Xian
XPXiao Pan
Xiao Pan

21 January 2022 in Advances in Atmospheric Sciences
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Journal Article
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TCTing Chen
Ting Chen
Shumin ChenShumin Chen
Shumin Chen
Mingsen ZhouMingsen Zhou
Mingsen Zhou
CTChaoyong Tu
Chaoyong Tu
Aoqi ZhangAoqi Zhang
Aoqi Zhang
Weibiao LiWeibiao Li
Weibiao Li

1 April 2018 in Atmospheric Research
Verified
Journal Article
Closed access
AZAoqi Zhang
Aoqi Zhang
YFYunfei Fu
Yunfei Fu
Yilun ChenYilun Chen
Yilun Chen
GLGuosheng Liu
Guosheng Liu
XZXiangdong Zhang
Xiangdong Zhang