Articles | Volume 23, issue 14 
            
                
                    
            
            
            https://doi.org/10.5194/acp-23-8271-2023
                    © Author(s) 2023. 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-23-8271-2023
                    © Author(s) 2023. This work is distributed under 
the Creative Commons Attribution 4.0 License.
                the Creative Commons Attribution 4.0 License.
Thermal infrared dust optical depth and coarse-mode effective diameter over oceans retrieved from collocated MODIS and CALIOP observations
Jianyu Zheng
                                            Department of Physics, University of Maryland, Baltimore County,
Baltimore, MD 21250, USA
                                        
                                    
                                            Goddard Earth Sciences Technology and Research II, University of
Maryland, Baltimore County, Baltimore, MD 21250, USA
                                        
                                    
                                            Department of Physics, University of Maryland, Baltimore County,
Baltimore, MD 21250, USA
                                        
                                    
                                            Goddard Earth Sciences Technology and Research II, University of
Maryland, Baltimore County, Baltimore, MD 21250, USA
                                        
                                    Hongbin Yu
                                            NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
                                        
                                    Anne Garnier
                                            Science Systems and Applications, Inc., Hampton, VA 23666, USA
                                        
                                    
                                            NASA Langley Research Center, Hampton, VA 23666, USA
                                        
                                    Qianqian Song
                                            Department of Physics, University of Maryland, Baltimore County,
Baltimore, MD 21250, USA
                                        
                                    
                                            Goddard Earth Sciences Technology and Research II, University of
Maryland, Baltimore County, Baltimore, MD 21250, USA
                                        
                                    
                                            now at: Atmospheric and Oceanic Sciences Program, Princeton
University, Princeton, NJ 08544, USA
                                        
                                    Chenxi Wang
                                            Goddard Earth Sciences Technology and Research II, University of
Maryland, Baltimore County, Baltimore, MD 21250, USA
                                        
                                    
                                            NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
                                        
                                    Claudia Di Biagio
                                            Université Paris Cité and Univ Paris Est Creteil, CNRS, LISA, F-75013 Paris, France
                                        
                                    Jasper F. Kok
                                            Department of Atmospheric and Oceanic Sciences, University of
California, Los Angeles, CA 90095, USA
                                        
                                    Yevgeny Derimian
                                            French National Centre for Scientific Research,
CNRS Laboratoire d'Optique Atmosphérique (LOA),  59000 Lille, France
                                        
                                    Claire Ryder
                                            Department of Meteorology, University of Reading, Reading, RG6 6BB, UK
                                        
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                            Total article views: 967 (including HTML, PDF, and XML)
                        
                            
                                
                                
                            
                                
                                
                            
                        
                        
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                            Cited
12 citations as recorded by crossref.
- A novel retrieval of global dust optical depth and effective diameter based on MODIS thermal infrared observations J. Zheng et al. 10.1016/j.rse.2025.115083
- An updated review of satellite constraints on airborne dust: Current status and future prospects R. Kahn et al. 10.1051/e3sconf/202457501008
- First lunar-light mapping of nighttime dust season oceanic aerosol optical depth over North Atlantic from space M. Zhou et al. 10.1016/j.rse.2024.114315
- Mineral dust optical properties for remote sensing and global modeling: A review P. Castellanos et al. 10.1016/j.rse.2023.113982
- Improvement of Dust Retrieval Algorithm Using GK-2 A Geo Satellite Thermal Infrared Channels by Establishing Observation-based Refractive Index Dataset Tailored for East Asian Dust E. Javid et al. 10.1007/s13143-025-00410-x
- Machine learning-based generation of high-resolution 3D full-coverage aerosol distribution data over China using multisource data W. Li et al. 10.1016/j.rse.2025.114772
- Dust Aerosol Optical Centroid Height (AOCH) Over Bright Surface: First Retrieval From TROPOMI Oxygen A and B Absorption Bands X. Chen et al. 10.1109/LGRS.2025.3601046
- A Comprehensive Review of Dust Storm Detection and Prediction Techniques: Leveraging Satellite Data, Ground Observations, and Machine Learning A. Mutawa et al. 10.1109/ACCESS.2025.3541075
- Enhanced continuous aerosol optical depth (AOD) estimation using geostationary satellite data: focusing on nighttime AOD over East Asia S. Song et al. 10.1016/j.atmosenv.2025.121365
- Post-fire vegetation dynamic patterns and drivers in Greater Hinggan Mountains: Insights from long-term remote sensing data analysis B. Jiang et al. 10.1016/j.ecoinf.2024.102850
- The role of refractive indices in measuring mineral dust with high-spectral-resolution infrared satellite sounders: application to the Gobi Desert P. Alalam et al. 10.5194/acp-24-12277-2024
- Thermal infrared dust optical depth and coarse-mode effective diameter over oceans retrieved from collocated MODIS and CALIOP observations J. Zheng et al. 10.5194/acp-23-8271-2023
11 citations as recorded by crossref.
- A novel retrieval of global dust optical depth and effective diameter based on MODIS thermal infrared observations J. Zheng et al. 10.1016/j.rse.2025.115083
- An updated review of satellite constraints on airborne dust: Current status and future prospects R. Kahn et al. 10.1051/e3sconf/202457501008
- First lunar-light mapping of nighttime dust season oceanic aerosol optical depth over North Atlantic from space M. Zhou et al. 10.1016/j.rse.2024.114315
- Mineral dust optical properties for remote sensing and global modeling: A review P. Castellanos et al. 10.1016/j.rse.2023.113982
- Improvement of Dust Retrieval Algorithm Using GK-2 A Geo Satellite Thermal Infrared Channels by Establishing Observation-based Refractive Index Dataset Tailored for East Asian Dust E. Javid et al. 10.1007/s13143-025-00410-x
- Machine learning-based generation of high-resolution 3D full-coverage aerosol distribution data over China using multisource data W. Li et al. 10.1016/j.rse.2025.114772
- Dust Aerosol Optical Centroid Height (AOCH) Over Bright Surface: First Retrieval From TROPOMI Oxygen A and B Absorption Bands X. Chen et al. 10.1109/LGRS.2025.3601046
- A Comprehensive Review of Dust Storm Detection and Prediction Techniques: Leveraging Satellite Data, Ground Observations, and Machine Learning A. Mutawa et al. 10.1109/ACCESS.2025.3541075
- Enhanced continuous aerosol optical depth (AOD) estimation using geostationary satellite data: focusing on nighttime AOD over East Asia S. Song et al. 10.1016/j.atmosenv.2025.121365
- Post-fire vegetation dynamic patterns and drivers in Greater Hinggan Mountains: Insights from long-term remote sensing data analysis B. Jiang et al. 10.1016/j.ecoinf.2024.102850
- The role of refractive indices in measuring mineral dust with high-spectral-resolution infrared satellite sounders: application to the Gobi Desert P. Alalam et al. 10.5194/acp-24-12277-2024
Latest update: 30 Oct 2025
Short summary
                    We developed a multi-year satellite-based retrieval of dust optical depth at 10 µm and the coarse-mode dust effective diameter over global oceans. It reveals climatological coarse-mode dust transport patterns and regional differences over the North Atlantic, the Indian Ocean and the North Pacific.
                    We developed a multi-year satellite-based retrieval of dust optical depth at 10 µm and the...
                    
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