Articles | Volume 19, issue 4
https://doi.org/10.5194/acp-19-2461-2019
© Author(s) 2019. 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-19-2461-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
26 Feb 2019
Research article |
| 26 Feb 2019
| 26 Feb 2019
Remote sensing of aerosol properties from multi-wavelength and multi-pixel information over the ocean
Chong Shi
CORRESPONDING AUTHOR
Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disasters, Nanjing University of Information Science and
Technology, Nanjing, China
Key Laboratory of Meteorological Disaster of Ministry of Education,
Nanjing University of Information Science and Technology, Nanjing, China
Japan Aerospace Exploration Agency, Earth Observation Research Center,
Tsukuba, 305-8505, Ibaraki, Japan
Makiko Hashimoto
Japan Aerospace Exploration Agency, Earth Observation Research Center,
Tsukuba, 305-8505, Ibaraki, Japan
Teruyuki Nakajima
CORRESPONDING AUTHOR
Japan Aerospace Exploration Agency, Earth Observation Research Center,
Tsukuba, 305-8505, Ibaraki, Japan
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- Development of an Algorithm to Retrieve Aerosol Optical Properties Over Water Using an Artificial Neural Network Radiative Transfer Scheme: First Result From GOSAT-2/CAI-2 C. Shi et al. 10.1109/TGRS.2020.3038892
- Evaluation and uncertainty analysis of Himawari-8 hourly aerosol product version 3.1 and its influence on surface solar radiation before and during the COVID-19 outbreak C. Tang et al. 10.1016/j.scitotenv.2023.164456
- Instantaneous aerosol and surface retrieval using satellites in geostationary orbit (iAERUS-GEO) – estimation of 15 min aerosol optical depth from MSG/SEVIRI and evaluation with reference data X. Ceamanos et al. 10.5194/amt-16-2575-2023
- Use of AERONET-OC for validation of SGLI/GCOM-C products in Ariake Sea, Japan J. Ishizaka et al. 10.1007/s10872-022-00642-9
- Optimizing Data Consistency in UAV Multispectral Imaging for Radiometric Correction and Sensor Conversion Models W. Yang et al. 10.3390/rs17122001
- Greenhouse gases Observing SATellite 2 (GOSAT-2): mission overview R. Imasu et al. 10.1186/s40645-023-00562-2
- Physical-Optical Properties of Marine Aerosols over the South China Sea: Shipboard Measurements and MERRA-2 Reanalysis Y. Su et al. 10.3390/rs14102453
- Analysis and validation of ocean color and aerosol properties over coastal regions from SGLI based on a simultaneous method M. Sekiguchi et al. 10.1007/s10872-021-00627-0
- Quantifying mangrove export of dissolved organic carbon on large scales and at fine resolution: a review of current technologies and the path forward C. Sullivan et al. 10.1007/s44289-025-00058-5
- All-sky total and direct surface Shortwave Downward Radiation (SWDR) estimation from satellite: Applications to MODIS and Himawari-8 Y. Yu et al. 10.1016/j.jag.2021.102380
- Characterization of optically effective complex refractive index of black carbon composite aerosols X. Zhang et al. 10.1016/j.jastp.2019.105180
- Advances in Atmospheric Radiation: Theories, Models, and Their Applications. Part II: Radiative Transfer Models and Related Applications H. Zhang et al. 10.1007/s13351-024-3089-y
- Development of a hybrid algorithm for the simultaneous retrieval of aerosol optical thickness and fine-mode fraction from multispectral satellite observation combining radiative transfer and transfer learning approaches C. Tang et al. 10.1016/j.rse.2025.114619
- Multispectral and RADAR images integration for geologic, geomorphic, and structural investigation in southwestern Arabian Shield, Al Qunfudhah area, Saudi Arabia M. Abdelkareem et al. 10.1080/16583655.2020.1741957
- Optimal estimation framework for ocean color atmospheric correction and pixel-level uncertainty quantification A. Ibrahim et al. 10.1364/AO.461861
Latest update: 30 Aug 2025
Short summary
This paper presents a new technique for retrieving aerosol optical properties using multi-wavelength and multi-pixel information over the ocean. Different from the traditional satellite aerosol retrievals conducted pixel by pixel, we derive the aerosol optical properties of multiple pixels simultaneously by adding a smoothness constraint on the spatial variation of aerosols and oceanic substances. The technique asserts that the multi-pixel scheme is conducive to aerosol retrieval over the ocean.
This paper presents a new technique for retrieving aerosol optical properties using...
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