Articles | Volume 22, issue 19
https://doi.org/10.5194/acp-22-13115-2022
© Author(s) 2022. 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-22-13115-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Size-resolved dust direct radiative effect efficiency derived from satellite observations
Qianqian Song
CORRESPONDING AUTHOR
Physics Department, UMBC, Baltimore, Maryland, USA
Goddard Earth Sciences Technology and Research II, UMBC, Baltimore,
Maryland, USA
Zhibo Zhang
Physics Department, UMBC, Baltimore, Maryland, USA
Goddard Earth Sciences Technology and Research II, UMBC, Baltimore,
Maryland, USA
Hongbin Yu
Climate and Radiation Laboratory, NASA Goddard Space Flight Center,
Greenbelt, Maryland, USA
Jasper F. Kok
Department of Atmospheric and Oceanic Sciences, University of California, Los Angeles, CA 90095, USA
Claudia Di Biagio
Université Paris Cité and Univ Paris Est Creteil, CNRS, LISA, 75013 Paris, France
Samuel Albani
Department of Environmental and Earth Sciences, University of
Milano–Bicocca, Milan, Italy
Jianyu Zheng
Physics Department, UMBC, Baltimore, Maryland, USA
Goddard Earth Sciences Technology and Research II, UMBC, Baltimore,
Maryland, USA
Jiachen Ding
Department of Atmospheric Sciences, Texas A&M University, College Station, Texas, USA
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Cited
9 citations as recorded by crossref.
- A sensitivity study on radiative effects due to the parameterization of dust optical properties in models I. Fountoulakis et al. 10.5194/acp-24-4915-2024
- Effects of surface coating on the shortwave and longwave radiative effects of dust aerosol in comparison with external mixing: A theoretical study Z. Zhang et al. 10.1016/j.jqsrt.2024.109060
- Modeling impacts of dust mineralogy on fast climate response Q. Song et al. 10.5194/acp-24-7421-2024
- Quantifying the dust direct radiative effect in the southwestern United States: findings from multiyear measurements A. Kuwano et al. 10.5194/acp-24-9843-2024
- Opinion: Aerosol remote sensing over the next 20 years L. Remer et al. 10.5194/acp-24-2113-2024
- Mineral dust optical properties for remote sensing and global modeling: A review P. Castellanos et al. 10.1016/j.rse.2023.113982
- Modelling the European wind-blown dust emissions and their impact on particulate matter (PM) concentrations M. Liaskoni et al. 10.5194/acp-23-3629-2023
- 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
- Dust event identification and characterization with one-year online observations in Beijing F. Zheng et al. 10.1016/j.scitotenv.2024.177296
9 citations as recorded by crossref.
- A sensitivity study on radiative effects due to the parameterization of dust optical properties in models I. Fountoulakis et al. 10.5194/acp-24-4915-2024
- Effects of surface coating on the shortwave and longwave radiative effects of dust aerosol in comparison with external mixing: A theoretical study Z. Zhang et al. 10.1016/j.jqsrt.2024.109060
- Modeling impacts of dust mineralogy on fast climate response Q. Song et al. 10.5194/acp-24-7421-2024
- Quantifying the dust direct radiative effect in the southwestern United States: findings from multiyear measurements A. Kuwano et al. 10.5194/acp-24-9843-2024
- Opinion: Aerosol remote sensing over the next 20 years L. Remer et al. 10.5194/acp-24-2113-2024
- Mineral dust optical properties for remote sensing and global modeling: A review P. Castellanos et al. 10.1016/j.rse.2023.113982
- Modelling the European wind-blown dust emissions and their impact on particulate matter (PM) concentrations M. Liaskoni et al. 10.5194/acp-23-3629-2023
- 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
- Dust event identification and characterization with one-year online observations in Beijing F. Zheng et al. 10.1016/j.scitotenv.2024.177296
Latest update: 20 Nov 2024
Short summary
This study developed a dataset that enables us to efficiently calculate dust direct radiative effect (DRE, i.e., cooling or warming our planet) for any given dust size distribution in addition to three sets of dust mineral components and two dust shapes. We demonstrate and validate the method of using this dataset to calculate dust DRE. Moreover, using this dataset we found that dust mineral composition is a more important factor in determining dust DRE than dust size and shape.
This study developed a dataset that enables us to efficiently calculate dust direct radiative...
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