L
Li Li
Researcher at Chinese Academy of Sciences
Publications - 44
Citations - 1041
Li Li is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Aerosol & AERONET. The author has an hindex of 12, co-authored 44 publications receiving 751 citations. Previous affiliations of Li Li include Leipzig University.
Papers
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Journal ArticleDOI
Polarimetric remote sensing of atmospheric aerosols: Instruments, methodologies, results, and perspectives
Oleg Dubovik,Zhengqiang Li,Michael I. Mishchenko,Didier Tanré,Yana Karol,Bojan Bojkov,Brian Cairns,David J. Diner,W. Reed Espinosa,W. Reed Espinosa,Philippe Goloub,Xingfa Gu,Otto Hasekamp,Jin Hong,Weizhen Hou,Kirk Knobelspiesse,Jochen Landgraf,Li Li,Pavel Litvinov,Yi Liu,Anton Lopatin,Thierry Marbach,Hal Maring,Vanderlei Martins,Yasjka Meijer,Gennadi Milinevsky,Sonoyo Mukai,Frédéric Parol,Yanli Qiao,Lorraine A. Remer,Jeroen Rietjens,Itaru Sano,Piet Stammes,Snorre Stamnes,Xiaobing Sun,Pierre Tabary,Larry D. Travis,Fabien Waquet,Feng Xu,Changxiang Yan,Dekui Yin +40 more
TL;DR: Polarimetry is one of the most promising types of remote sensing for improved characterization of atmospheric aerosol, and several new-generation retrieval approaches have recently been proposed to address these challenges.
Journal ArticleDOI
Aerosol physical and chemical properties retrieved from ground-based remote sensing measurements during heavy haze days in Beijing winter
Zhengqiang Li,Xingfa Gu,Lei Wang,Lei Wang,Donghuan Li,Yisong Xie,Kaitao Li,Oleg Dubovik,Gregory L. Schuster,Philippe Goloub,Yonggang Zhang,Li Li,Yan Ma,Hengchao Xu +13 more
TL;DR: In this article, two winter heavy haze events in Beijing that occurred in 2011 and 2012 were selected and investigated by using the ground-based remote sensing measurements, and retrieval results from a total of five haze days showed that the aerosol loading and properties during the two winter haze events were comparable.
Journal ArticleDOI
Remote sensing of atmospheric particulate mass of dry PM2.5 near the ground: Method validation using ground-based measurements
Zhengqiang Li,Ying Zhang,Jie Shao,Baosheng Li,Jin Hong,Dong Liu,Donghui Li,Peng Wei,Wei Li,Wei Li,Lei Li,Fengxia Zhang,Jie Guo,Deng Qian,Bangxin Wang,Chaolong Cui,Wanchun Zhang,Zhenzhu Wang,Yang Lv,Hua Xu,Xingfeng Chen,Li Li,Lili Qie +22 more
TL;DR: In this paper, the authors present an experimental validation of a physical PM 2.5 remote sensing (PMRS) method which is not dependent on geographical location, based on ground-based remote sensing measurements at Jinhua City, a typical middle size city in East China.
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Estimate of aerosol absorbing components of black carbon, brown carbon, and dust from ground-based remote sensing data of sun-sky radiometers
Ling Wang,Ling Wang,Zhengqiang Li,Qingjiu Tian,Yan Ma,Fengxia Zhang,Ying Zhang,Donghui Li,Kaitao Li,Li Li +9 more
TL;DR: In this paper, the columnar contents of BC, BrC, and DU were retrieved from spectral refractive indices and spectral single scattering albedo obtained from the sun-sky radiometer measurements.
Journal ArticleDOI
Retrieval of Aerosol Microphysical Properties from AERONET Photo-Polarimetric Measurements. 2: A New Research Algorithm and Case Demonstration
Xiaoguang Xu,Jun Wang,Jing Zeng,Robert Spurr,Xiong Liu,Oleg Dubovik,Li Li,Zhengqiang Li,Michael I. Mishchenko,A. Siniuk,Brent N. Holben +10 more
TL;DR: In this article, the authors used an advanced UNified and linearized vector radiative transfer model and incorporated a statistical optimization approach to retrieve aerosol microphysical properties from multispectral and multiangular photopolarimetric measurements taken by AERONET's new-generation Sun photometer.