Articles | Volume 20, issue 21
https://doi.org/10.5194/acp-20-12795-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-20-12795-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
04 Nov 2020
Research article |
| 04 Nov 2020
| 04 Nov 2020
Improved inversion of aerosol components in the atmospheric column from remote sensing data
Ying Zhang
Aerospace Information Research Institute, Chinese Academy of Sciences,
Beijing 100101, China
Zhengqiang Li
CORRESPONDING AUTHOR
Aerospace Information Research Institute, Chinese Academy of Sciences,
Beijing 100101, China
Yu Chen
Public Meteorological Service Center, China Meteorological
Administration, Beijing 100081, China
Gerrit de Leeuw
Aerospace Information Research Institute, Chinese Academy of Sciences,
Beijing 100101, China
R&D Satellite
Observations, Royal Netherlands Meteorological Institute (KNMI), 3730AE De Bilt, the Netherlands
Chi Zhang
Aerospace Information Research Institute, Chinese Academy of Sciences,
Beijing 100101, China
Yisong Xie
Aerospace Information Research Institute, Chinese Academy of Sciences,
Beijing 100101, China
Kaitao Li
Aerospace Information Research Institute, Chinese Academy of Sciences,
Beijing 100101, China
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Cited
17 citations as recorded by crossref.
- Retrieving aerosols single scattering albedo from MODIS reflectances Q. Wang et al. 10.1016/j.atmosres.2022.106381
- Direct radiative forcing of light-absorbing carbonaceous aerosols in China L. Yang et al. 10.1016/j.atmosres.2024.107396
- Air Quality over China G. de Leeuw et al. 10.3390/rs13173542
- Spatio-Temporal Variability of Aerosol Components, Their Optical and Microphysical Properties over North China during Winter Haze in 2012, as Derived from POLDER/PARASOL Satellite Observations Y. Ou et al. 10.3390/rs13142682
- Identification of polluted clouds and composition analysis based on GF-5 DPC data F. Shen et al. 10.1016/j.jqsrt.2021.107659
- Remote sensing of aerosol water fraction, dry size distribution and soluble fraction using multi-angle, multi-spectral polarimetry B. van Diedenhoven et al. 10.5194/amt-15-7411-2022
- Radiative Impacts of Aerosols During COVID-19 Lockdown Period Over the Indian Region R. Bhawar et al. 10.3389/fenvs.2021.746090
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- Satellite remote sensing of atmospheric particulate matter mass concentration: Advances, challenges, and perspectives Y. Zhang et al. 10.1016/j.fmre.2021.04.007
- Simple retrieval of the real part of the refractive index for ambient aerosols using extinction coefficient analysis via camera and volume size distribution J. Shin et al. 10.1016/j.atmosenv.2024.120537
- The Effects of Local Pollution and Transport Dust on Aerosol Properties in Typical Arid Regions of Central Asia during DAO-K Measurement Y. Wei et al. 10.3390/atmos13050729
- Diagnosing uncertainties in global biomass burning emission inventories and their impact on modeled air pollutants W. Hua et al. 10.5194/acp-24-6787-2024
- Combining Mie–Raman and fluorescence observations: a step forward in aerosol classification with lidar technology I. Veselovskii et al. 10.5194/amt-15-4881-2022
- Algorithm for vertical distribution of boundary layer aerosol components in remote-sensing data F. Wang et al. 10.5194/amt-15-6127-2022
- Improvement of Space-Observation of Aerosol Chemical Composition by Synergizing a Chemical Transport Model and Ground-Based Network Data Z. Li et al. 10.3390/rs16234390
- The polarimetric characteristics of dust with irregular shapes: evaluation of the spheroid model for single particles J. Luo et al. 10.5194/amt-15-2767-2022
- Multi-dimensional satellite observations of aerosol properties and aerosol types over three major urban clusters in eastern China Y. Liu et al. 10.5194/acp-21-12331-2021
17 citations as recorded by crossref.
- Retrieving aerosols single scattering albedo from MODIS reflectances Q. Wang et al. 10.1016/j.atmosres.2022.106381
- Direct radiative forcing of light-absorbing carbonaceous aerosols in China L. Yang et al. 10.1016/j.atmosres.2024.107396
- Air Quality over China G. de Leeuw et al. 10.3390/rs13173542
- Spatio-Temporal Variability of Aerosol Components, Their Optical and Microphysical Properties over North China during Winter Haze in 2012, as Derived from POLDER/PARASOL Satellite Observations Y. Ou et al. 10.3390/rs13142682
- Identification of polluted clouds and composition analysis based on GF-5 DPC data F. Shen et al. 10.1016/j.jqsrt.2021.107659
- Remote sensing of aerosol water fraction, dry size distribution and soluble fraction using multi-angle, multi-spectral polarimetry B. van Diedenhoven et al. 10.5194/amt-15-7411-2022
- Radiative Impacts of Aerosols During COVID-19 Lockdown Period Over the Indian Region R. Bhawar et al. 10.3389/fenvs.2021.746090
- 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
- Satellite remote sensing of atmospheric particulate matter mass concentration: Advances, challenges, and perspectives Y. Zhang et al. 10.1016/j.fmre.2021.04.007
- Simple retrieval of the real part of the refractive index for ambient aerosols using extinction coefficient analysis via camera and volume size distribution J. Shin et al. 10.1016/j.atmosenv.2024.120537
- The Effects of Local Pollution and Transport Dust on Aerosol Properties in Typical Arid Regions of Central Asia during DAO-K Measurement Y. Wei et al. 10.3390/atmos13050729
- Diagnosing uncertainties in global biomass burning emission inventories and their impact on modeled air pollutants W. Hua et al. 10.5194/acp-24-6787-2024
- Combining Mie–Raman and fluorescence observations: a step forward in aerosol classification with lidar technology I. Veselovskii et al. 10.5194/amt-15-4881-2022
- Algorithm for vertical distribution of boundary layer aerosol components in remote-sensing data F. Wang et al. 10.5194/amt-15-6127-2022
- Improvement of Space-Observation of Aerosol Chemical Composition by Synergizing a Chemical Transport Model and Ground-Based Network Data Z. Li et al. 10.3390/rs16234390
- The polarimetric characteristics of dust with irregular shapes: evaluation of the spheroid model for single particles J. Luo et al. 10.5194/amt-15-2767-2022
- Multi-dimensional satellite observations of aerosol properties and aerosol types over three major urban clusters in eastern China Y. Liu et al. 10.5194/acp-21-12331-2021
Latest update: 13 Dec 2024
Short summary
Observation of atmospheric aerosol components plays an important role in reducing uncertainty in climate assessment. In this study, an improved remote sensing method which can better distinguish scattering components is developed, and the aerosol components in the atmospheric column over China are retrieved based on the Sun–sky radiometer Observation NETwork (SONET). The component distribution shows there could be a sea salt component in northwest China from a paleomarine source in desert land.
Observation of atmospheric aerosol components plays an important role in reducing uncertainty in...
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