Huizheng Che
China Meteorological Administration
277 Papers
336 Citations
Huizheng Che is an academic researcher from China Meteorological Administration. The author has contributed to research in topics: Aerosol & Environmental science. The author has an hindex of 49, co-authored 211 publications. Previous affiliations of Huizheng Che include Chinese Academy of Sciences & CMA CGM.
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Papers
Nine-year spatial and temporal evolution of desert dust aerosols over South and East Asia as revealed by CALIOP
Emmanouil Proestakis,Vassilis Amiridis,Eleni Marinou,Aristeidis K. Georgoulias,Stavros Solomos,Stelios Kazadzis,Julien Chimot,Huizheng Che,Georgia Alexandri,Ioannis Binietoglou,Vasiliki Daskalopoulou,Konstantinos Kourtidis,Gerrit de Leeuw,Gerrit de Leeuw,Ronald van der A +14 more
TL;DR: In this paper, a 3D climatology of the desert dust distribution over South and East Asia derived using CALIPSO (Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation) data is presented.
Separating emission and meteorological contributions to long-term PM 2.5 trends over eastern China during 2000–2018
Qingyang Xiao,Yixuan Zheng,Guannan Geng,Cuihong Chen,Xiaomeng Huang,Huizheng Che,Xiaoye Zhang,Kebin He,Qiang Zhang +8 more
TL;DR: In this article, a combination of a machine learning model, statistical method, and chemical transport model was used to quantify the meteorological impacts on PM 2.5 pollution during 2000-2018.
Retrieval of aerosol components directly from satellite and ground-based measurements
Lei Li,Oleg Dubovik,Yevgeny Derimian,Gregory L. Schuster,Tatyana Lapyonok,Pavel Litvinov,Fabrice Ducos,David Fuertes,Cheng Chen,Zhengqiang Li,Anton Lopatin,Benjamin Torres,Huizheng Che +12 more
TL;DR: In this paper, the authors present a method for the remote monitoring of aerosol components over large spatial and temporal domains based on the GRASP (Generalized Retrieval of Aerosol and Surface Properties) algorithm.
Construction of a virtual PM2.5 observation network in China based on high-density surface meteorological observations using the Extreme Gradient Boosting model.
Ke Gui,Huizheng Che,Zhaoliang Zeng,Yaqiang Wang,Shixian Zhai,Zemin Wang,Ming Luo,Lei Zhang,Tingting Liao,Hujia Zhao,Lei Li,Yu Zheng,Xiaoye Zhang +12 more
TL;DR: A virtual ground-based PM2.5 observation network based on high-density surface meteorological observations using the Extreme Gradient Boosting model shows great potential in reconstructing historical PM 2.5 data, and surface visibility plays the dominant role in terms of the relative importance of variables in the XGBoost model.
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Characteristics of visibility and particulate matter (PM) in an urban area of Northeast China
Hujia Zhao,Hujia Zhao,Huizheng Che,Xiaoye Zhang,Yanjun Ma,Yangfeng Wang,Hong Wang,Yaqiang Wang +7 more
TL;DR: The relationship between visibility and PM indicates that fine particles are already a main source of pollutants, the existence of which is the most important factor in the deterioration of visibility in an urban area of Northeast China.
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