Articles | Volume 19, issue 21
https://doi.org/10.5194/amt-19-6991-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-19-6991-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Retrieval of bimodal aerosol size distributions for stratospheric sulfate and smoke aerosols using multi–wavelength satellite measurements
Atmospheric Science Research Center, University at Albany, State University of New York, Albany, NY 12226, USA
Cheng-Hsuan Lu
Atmospheric Science Research Center, University at Albany, State University of New York, Albany, NY 12226, USA
Joint Center for Satellite Data Assimilation, University Corporation for Atmospheric Research, Boulder, CO 80301, USA
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Shih-Wei Wei, Jérôme Barré, Soyoung Ha, Maryam Abdi-Oskouei, Benjamin Ménétrier, Cheng Dang, and Cheng-Hsuan Lu
Geosci. Model Dev., 19, 8367–8384, https://doi.org/10.5194/gmd-19-8367-2026, https://doi.org/10.5194/gmd-19-8367-2026, 2026
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This paper presents a flexible workflow using a unified data assimilation framework to evaluate atmospheric composition models. It enables comparison of observations with forecasts of trace gases and aerosols from different models. The system is consistent and adaptable, reducing repetitive work, supporting model validation and observation assessment, and aligning evaluation with operational data assimilation for research and practical applications.
Shih-Wei Wei, Mariusz Pagowski, Arlindo da Silva, Cheng-Hsuan Lu, and Bo Huang
Geosci. Model Dev., 17, 795–813, https://doi.org/10.5194/gmd-17-795-2024, https://doi.org/10.5194/gmd-17-795-2024, 2024
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This study describes the modeling system and the evaluation results for the first prototype version of a global aerosol reanalysis product at NOAA, prototype NOAA Aerosol ReAnalysis version 1.0 (pNARA v1.0). We evaluated pNARA v1.0 against independent datasets and compared it with other reanalyses. We identified deficiencies in the system (both in the forecast model and in the data assimilation system) and the uncertainties that exist in our reanalysis.
Dustin Francis Phillip Grogan, Cheng-Hsuan Lu, Shih-Wei Wei, and Sheng-Po Chen
Atmos. Chem. Phys., 22, 2385–2398, https://doi.org/10.5194/acp-22-2385-2022, https://doi.org/10.5194/acp-22-2385-2022, 2022
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This study shows that incorporating aerosols into satellite radiance calculations affects the representation of African easterly waves (AEWs), and their environment, over North Africa and the eastern Atlantic in a numerical weather model. These changes are driven by radiative effects of Saharan dust captured by the aerosol-affected radiances, which modify the initial fields and can improve the forecasting of AEWs.
Cheng-Hsuan Lu, Quanhua Liu, Shih-Wei Wei, Benjamin T. Johnson, Cheng Dang, Patrick G. Stegmann, Dustin Grogan, Guoqing Ge, Ming Hu, and Michael Lueken
Geosci. Model Dev., 15, 1317–1329, https://doi.org/10.5194/gmd-15-1317-2022, https://doi.org/10.5194/gmd-15-1317-2022, 2022
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This article is a technical note on the aerosol absorption and scattering calculations of the Community Radiative Transfer Model (CRTM) v2.2 and v2.3. It also provides guidance for prospective users of the CRTM aerosol option and Gridpoint Statistical Interpolation (GSI) aerosol-aware radiance assimilation. Scientific aspects of aerosol-affected BT in atmospheric data assimilation are also briefly discussed.
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Short summary
A new approach to retrieve stratospheric aerosol size distributions is developed to characterize smoke aerosol properties. Pyrocumulonimbus can strongly perturb stratospheric aerosol concentrations. Simulations are conducted to describe stratospheric aerosol properties for bimodal lognormal distributions. Observations from SAGEIII/ISS are used to determined stratospheric smoke aerosol size distributions and optical and microphysical properties and are validated against in situ measurements.
A new approach to retrieve stratospheric aerosol size distributions is developed to characterize...
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