Articles | Volume 10, issue 9
https://doi.org/10.5194/amt-10-3203-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-10-3203-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
01 Sep 2017
Research article |
| 01 Sep 2017
Estimation of aerosol complex refractive indices for both fine and coarse modes simultaneously based on AERONET remote sensing products
Ying Zhang
State Environmental Protection Key Laboratory of Satellite Remote Sensing, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China
Zhengqiang Li
CORRESPONDING AUTHOR
State Environmental Protection Key Laboratory of Satellite Remote Sensing, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China
Yuhuan Zhang
Satellite Environment Center, Ministry of Environmental Protection, Beijing 100094, China
Donghui Li
State Environmental Protection Key Laboratory of Satellite Remote Sensing, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China
Lili Qie
State Environmental Protection Key Laboratory of Satellite Remote Sensing, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China
Huizheng Che
Chinese Academy of Meteorological Sciences, Chinese Meteorological Administration, Beijing 100081, China
Hua Xu
State Environmental Protection Key Laboratory of Satellite Remote Sensing, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China
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26 citations as recorded by crossref.
- Optimal Estimation Retrieval of Aerosol Fine-Mode Fraction from Ground-Based Sky Light Measurements F. Zheng et al. 10.3390/atmos10040196
- Aerosol microphysical parameters’ vertical profiles measured by a dual Raman-Mie lidar during 2007–2013 at Hefei, China S. Hu et al. 10.1364/AO.58.001537
- Modelling Complex Refractive Indices of Sub-micron Pure and Polluted Dust based on Compositional Sensitive Analysis . Sarla et al. 10.1007/s12647-022-00547-4
- In situ optical and microphysical properties of tropospheric aerosols in the Canadian High Arctic from 2016 to 2019 A. Vicente-Luis et al. 10.1016/j.atmosenv.2021.118254
- The SMART‐s Trace Gas and Aerosol Inversions: I. Algorithm Theoretical Basis for Column Property Retrievals U. Jeong et al. 10.1029/2019JD032088
- 海洋大气气溶胶复折射率反演方法研究 刘. Liu Menglei et al. 10.3788/LOP222921
- The significant impact of aerosol vertical structure on lower atmosphere stability and its critical role in aerosol–planetary boundary layer (PBL) interactions T. Su et al. 10.5194/acp-20-3713-2020
- The AERONET Version 3 aerosol retrieval algorithm, associated uncertainties and comparisons to Version 2 A. Sinyuk et al. 10.5194/amt-13-3375-2020
- An analysis of air pollution associated with the 2023 sand and dust storms over China: Aerosol properties and PM10 variability M. Filonchyk et al. 10.1016/j.gsf.2023.101762
- Derivation of PM10 mass concentration from advanced satellite retrieval products based on a semi-empirical physical approach Y. Wei et al. 10.1016/j.rse.2021.112319
- Inferring the absorption properties of organic aerosol in Siberian biomass burning plumes from remote optical observations I. Konovalov et al. 10.5194/amt-14-6647-2021
- Inferring Fine-Mode and Coarse-Mode Aerosol Complex Refractive Indices from AERONET Inversion Products over China Q. Chen et al. 10.3390/atmos10030158
- Aerosol retrieval study from multiangle polarimetric satellite data based on optimal estimation method F. Zheng et al. 10.1117/1.JRS.14.014516
- Characteristics of Absorbing Aerosols in Mexico City: A Study of Morphology and Columnar Microphysical Properties G. Carabali et al. 10.3390/atmos15010108
- Research on the distribution and influencing factors of fine mode aerosol optical depth (AODf) in China H. Xu et al. 10.1016/j.atmosenv.2024.120721
- The Fundamental Aerosol Models Over China Region: A Cluster Analysis of the Ground‐Based Remote Sensing Measurements of Total Columnar Atmosphere Z. Li et al. 10.1029/2019GL082056
- Improved inversion of aerosol components in the atmospheric column from remote sensing data Y. Zhang et al. 10.5194/acp-20-12795-2020
- Directional Polarimetric Camera (DPC): Monitoring aerosol spectral optical properties over land from satellite observation Z. Li et al. 10.1016/j.jqsrt.2018.07.003
- Meteorological and anthropogenic contributions to changes in the Aerosol Optical Depth (AOD) over China during the last decade G. de Leeuw et al. 10.1016/j.atmosenv.2023.119676
- Estimation of atmospheric columnar organic matter (OM) mass concentration from remote sensing measurements of aerosol spectral refractive indices Y. Zhang et al. 10.1016/j.atmosenv.2018.02.010
- Sub-Mode Aerosol Volume Size Distribution and Complex Refractive Index from the Three-Year Ground-Based Measurements in Chengdu China C. Zhang et al. 10.3390/atmos10020046
- Comparisons of aerosol types and optical characters over Shouxian Area China observed from ground- and space-based systems X. Deng et al. 10.1364/OE.524152
- Retrieval of Atmospheric Fine Particulate Density Based on Merging Particle Size Distribution Measurements: Multi‐instrument Observation and Quality Control at Shouxian Z. Li et al. 10.1029/2018JD028956
- Atmospheric Aerosol Outbreak over Nicosia, Cyprus, in April 2019: Case Study Y. Yukhymchuk et al. 10.3390/atmos13121997
- Assessment of two intense dust storm characteristics over Indo – Gangetic basin and their radiative impacts: A case study S. Tiwari et al. 10.1016/j.atmosres.2019.05.011
- Estimation of Surface Concentrations of Black Carbon from Long-Term Measurements at Aeronet Sites over Korea Y. Choi et al. 10.3390/rs12233904
Latest update: 16 Nov 2024
