Articles | Volume 19, issue 11
https://doi.org/10.5194/acp-19-7397-2019
© 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-19-7397-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Direct radiative effect of dust–pollution interactions
Max Planck Institute for Chemistry, Hahn-Meitner-Weg 1, 55128 Mainz, Germany
Jos Lelieveld
Max Planck Institute for Chemistry, Hahn-Meitner-Weg 1, 55128 Mainz, Germany
The Cyprus Institute, P.O. Box 27456, 1645 Nicosia, Cyprus
Vlassis A. Karydis
Max Planck Institute for Chemistry, Hahn-Meitner-Weg 1, 55128 Mainz, Germany
Institute of Energy and Climate Research, Forschungszentrum Jülich GmbH, 52425 Jülich, Germany
Georgiy L. Stenchikov
Physical Science and Engineering Division, King Abdullah University of Science and Technology, Thuwal 23955-6900, Saudi Arabia
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- Quantification of long-range transported aeolian dust towards the Indian peninsular region using satellite and ground-based data - A case study during a dust storm over the Arabian Sea M. Aswini et al. 10.1016/j.atmosres.2020.104910
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24 citations as recorded by crossref.
- Influence of Saharan Dust on the Large‐Scale Meteorological Environment for Development of Tropical Cyclone Over North Atlantic Ocean Basin Y. Sun & C. Zhao 10.1029/2020JD033454
- Impact of dust storm on the atmospheric boundary layer: a case study from western India S. Saha et al. 10.1007/s11069-022-05293-z
- In situ vertical characteristics of optical properties and heating rates of aerosol over Beijing P. Tian et al. 10.5194/acp-20-2603-2020
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- Implementation of the ISORROPIA-lite aerosol thermodynamics model into the EMAC chemistry climate model (based on MESSy v2.55): implications for aerosol composition and acidity A. Milousis et al. 10.5194/gmd-17-1111-2024
- Machine Learning-Based Improvement of Aerosol Optical Depth from CHIMERE Simulations Using MODIS Satellite Observations F. Lemmouchi et al. 10.3390/rs15061510
- African biomass burning affects aerosol cycling over the Amazon B. Holanda et al. 10.1038/s43247-023-00795-5
- Global cycling and climate effects of aeolian dust controlled by biological soil crusts E. Rodriguez-Caballero et al. 10.1038/s41561-022-00942-1
- Saharan Dust Modeling Over the Mediterranean Basin and Central Europe: Does the Resolution Matter? L. Palacios-Peña et al. 10.3389/feart.2019.00290
- Quantification of long-range transported aeolian dust towards the Indian peninsular region using satellite and ground-based data - A case study during a dust storm over the Arabian Sea M. Aswini et al. 10.1016/j.atmosres.2020.104910
- The effect of ash, water vapor, and heterogeneous chemistry on the evolution of a Pinatubo-size volcanic cloud M. Abdelkader et al. 10.5194/acp-23-471-2023
- Weaker cooling by aerosols due to dust–pollution interactions K. Klingmüller et al. 10.5194/acp-20-15285-2020
- How alkaline compounds control atmospheric aerosol particle acidity V. Karydis et al. 10.5194/acp-21-14983-2021
- Climate Change and Weather Extremes in the Eastern Mediterranean and Middle East G. Zittis et al. 10.1029/2021RG000762
- Data-driven aeolian dust emission scheme for climate modelling evaluated with EMAC 2.55.2 K. Klingmüller & J. Lelieveld 10.5194/gmd-16-3013-2023
- A novel simplified method for surface albedo together with a look-up table to get an 18-year assessment of surface aerosol direct radiative effect in Central and East China Y. Shi et al. 10.1016/j.atmosenv.2020.117858
- Mineral dust aerosol impacts on global climate and climate change J. Kok et al. 10.1038/s43017-022-00379-5
- Effect of dust on rainfall over the Red Sea coast based on WRF-Chem model simulations S. Parajuli et al. 10.5194/acp-22-8659-2022
- Reviewing the links and feedbacks between climate change and air pollution in Europe U. Im et al. 10.3389/fenvs.2022.954045
- Long-Range Atmospheric Transport of Dust from the Caspian Sea Region to the Arctic Zone of the European Part of Russia in December 2023 D. Gubanova et al. 10.1134/S1028334X24602852
- Trans-Pacific transport and evolution of aerosols: spatiotemporal characteristics and source contributions Z. Hu et al. 10.5194/acp-19-12709-2019
1 citations as recorded by crossref.
Latest update: 23 Nov 2024
Short summary
Within the atmosphere, desert dust and anthropogenic pollution are mixed and interact, which affects the abundance and optical properties of the particulate matter. This results in an anthropogenic climate forcing associated with mineral dust notwithstanding the natural origin of most aeolian dust. With a global chemistry–climate model, we estimate this forcing to represent a considerable fraction of the total dust forcing.
Within the atmosphere, desert dust and anthropogenic pollution are mixed and interact, which...
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