Jianglin Li
Chinese Academy of Sciences
8 Papers
17 Citations
Jianglin Li is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Environmental science & Storm. The author has an hindex of 6, co-authored 8 publications.
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Papers
Solving the storm split-merge problem—A combined storm identification, tracking algorithm
TL;DR: A new combined storm identification tracking algorithm (referred as CSIT) is devised after detailed testing of various existing convective storm identification and tracking methods, which ensures that newly formed storms can be detected and reduces the occurrence of storm split-merge.
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Measurements of submicron particles vertical profiles by means of topographic relief in a typical valley city, China
Suping Zhao,Suping Zhao,Ye Yu,Dahe Qin,Daiying Yin,Zhiheng Du,Jianglin Li,Longxiang Dong,Jianjun He,Ping Li +9 more
TL;DR: In this article, the authors reveal PM1 vertical profiles and key affecting factors in a typical urban valley, using medium volume air samplers during 26 December 2017 to 11 January 2018 at five different altitudes by means of high topographic relief at urban areas of Lanzhou.
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Comparison of surface sensible and latent heat fluxes over the Tibetan Plateau from reanalysis and observations
TL;DR: In this paper, the authors focused on the spatiotemporal variation of surface sensible and latent heat fluxes over the Tibetan Plateau (TP) from 1981 to 2013 using reanalysis data sets (ERA-Interim, JRA-55, and MERRA) and observations.
21
Climatic characteristics of thunderstorm days and the influence of atmospheric environment in Northwestern China
TL;DR: In this article, the authors studied the annual trend in thunderstorm activity during a 42-year period from 1971 to 2012 over the transition region of the Tibetan Plateau and the Loess Plateau in China.
15
Numerical Study of the Impact of Complex Terrain and Soil Moisture on Convective Initiation
TL;DR: The relative importance of topography and soil moisture on the initiation of an afternoon deep convection under weak synoptic-scale forcing was investigated using the weather research and forecasting (WRF) model with high resolution (1.33 km) as discussed by the authors.
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