Articles | Volume 19, issue 11
https://doi.org/10.5194/acp-19-7397-2019
https://doi.org/10.5194/acp-19-7397-2019
Research article
 | 
04 Jun 2019
Research article |  | 04 Jun 2019

Direct radiative effect of dust–pollution interactions

Klaus Klingmüller, Jos Lelieveld, Vlassis A. Karydis, and Georgiy L. Stenchikov

Related authors

Global atmospheric hydrogen chemistry and long-term source-sink budget simulation with the EMAC v2.55 model
Nic Surawski, Benedikt Steil, Christoph Brühl, Sergey Gromov, Klaus Klingmüller, Anna Martin, Andrea Pozzer, and Jos Lelieveld
EGUsphere, https://doi.org/10.5194/egusphere-2025-1559,https://doi.org/10.5194/egusphere-2025-1559, 2025
This preprint is open for discussion and under review for Geoscientific Model Development (GMD).
Short summary
Impact of mineral dust on the global nitrate aerosol direct and indirect radiative effect
Alexandros Milousis, Klaus Klingmüller, Alexandra P. Tsimpidi, Jasper F. Kok, Maria Kanakidou, Athanasios Nenes, and Vlassis A. Karydis
Atmos. Chem. Phys., 25, 1333–1351, https://doi.org/10.5194/acp-25-1333-2025,https://doi.org/10.5194/acp-25-1333-2025, 2025
Short summary
Evaluation of the coupling of EMACv2.55 to the land surface and vegetation model JSBACHv4
Anna Martin, Veronika Gayler, Benedikt Steil, Klaus Klingmüller, Patrick Jöckel, Holger Tost, Jos Lelieveld, and Andrea Pozzer
Geosci. Model Dev., 17, 5705–5732, https://doi.org/10.5194/gmd-17-5705-2024,https://doi.org/10.5194/gmd-17-5705-2024, 2024
Short summary
Data-driven aeolian dust emission scheme for climate modelling evaluated with EMAC 2.55.2
Klaus Klingmüller and Jos Lelieveld
Geosci. Model Dev., 16, 3013–3028, https://doi.org/10.5194/gmd-16-3013-2023,https://doi.org/10.5194/gmd-16-3013-2023, 2023
Short summary
Climate-model-informed deep learning of global soil moisture distribution
Klaus Klingmüller and Jos Lelieveld
Geosci. Model Dev., 14, 4429–4441, https://doi.org/10.5194/gmd-14-4429-2021,https://doi.org/10.5194/gmd-14-4429-2021, 2021
Short summary

Related subject area

Subject: Aerosols | Research Activity: Atmospheric Modelling and Data Analysis | Altitude Range: Troposphere | Science Focus: Chemistry (chemical composition and reactions)
Implications of reduced-complexity aerosol thermodynamics on organic aerosol mass concentration and composition over North America
Camilo Serrano Damha, Kyle Gorkowski, and Andreas Zuend
Atmos. Chem. Phys., 25, 5773–5792, https://doi.org/10.5194/acp-25-5773-2025,https://doi.org/10.5194/acp-25-5773-2025, 2025
Short summary
Trends and drivers of soluble iron deposition from East Asian dust to the Northwest Pacific: a springtime analysis (2001–2017)
Hanzheng Zhu, Yaman Liu, Man Yue, Shihui Feng, Pingqing Fu, Kan Huang, Xinyi Dong, and Minghuai Wang
Atmos. Chem. Phys., 25, 5175–5197, https://doi.org/10.5194/acp-25-5175-2025,https://doi.org/10.5194/acp-25-5175-2025, 2025
Short summary
Modelling of atmospheric variability in gas and aerosols during the ACROSS campaign 2022 of the greater Paris area: evaluation of the meteorology, dynamics and chemistry
Ludovico Di Antonio, Matthias Beekmann, Guillaume Siour, Vincent Michoud, Christopher Cantrell, Astrid Bauville, Antonin Bergé, Mathieu Cazaunau, Servanne Chevaillier, Manuela Cirtog, Joel F. de Brito, Paola Formenti, Cecile Gaimoz, Olivier Garret, Aline Gratien, Valérie Gros, Martial Haeffelin, Lelia N. Hawkins, Simone Kotthaus, Gael Noyalet, Diana L. Pereira, Jean-Eudes Petit, Eva Drew Pronovost, Véronique Riffault, Chenjie Yu, Gilles Foret, Jean-François Doussin, and Claudia Di Biagio
Atmos. Chem. Phys., 25, 4803–4831, https://doi.org/10.5194/acp-25-4803-2025,https://doi.org/10.5194/acp-25-4803-2025, 2025
Short summary
Spatial–temporal patterns in anthropogenic and biomass burning emission contributions to air pollution and mortality burden changes in India from 1995 to 2014
Bin Luo, Yuqiang Zhang, Tao Tang, Hongliang Zhang, Jianlin Hu, Jiangshan Mu, Wenxing Wang, and Likun Xue
Atmos. Chem. Phys., 25, 4767–4783, https://doi.org/10.5194/acp-25-4767-2025,https://doi.org/10.5194/acp-25-4767-2025, 2025
Short summary
A comprehensive global modeling assessment of nitrate heterogeneous formation on desert dust
Rubén Soussé Villa, Oriol Jorba, María Gonçalves Ageitos, Dene Bowdalo, Marc Guevara, and Carlos Pérez García-Pando
Atmos. Chem. Phys., 25, 4719–4753, https://doi.org/10.5194/acp-25-4719-2025,https://doi.org/10.5194/acp-25-4719-2025, 2025
Short summary

Cited articles

Abdelkader, M., Metzger, S., Mamouri, R. E., Astitha, M., Barrie, L., Levin, Z., and Lelieveld, J.: Dust–air pollution dynamics over the eastern Mediterranean, Atmos. Chem. Phys., 15, 9173–9189, https://doi.org/10.5194/acp-15-9173-2015, 2015. a, b, c
Abdelkader, M., Metzger, S., Steil, B., Klingmüller, K., Tost, H., Pozzer, A., Stenchikov, G., Barrie, L., and Lelieveld, J.: Sensitivity of transatlantic dust transport to chemical aging and related atmospheric processes, Atmos. Chem. Phys., 17, 3799–3821, https://doi.org/10.5194/acp-17-3799-2017, 2017. a, b, c
Astitha, M., Lelieveld, J., Abdel Kader, M., Pozzer, A., and de Meij, A.: Parameterization of dust emissions in the global atmospheric chemistry-climate model EMAC: impact of nudging and soil properties, Atmos. Chem. Phys., 12, 11057–11083, https://doi.org/10.5194/acp-12-11057-2012, 2012. a
Balkanski, Y., Schulz, M., Claquin, T., and Guibert, S.: Reevaluation of Mineral aerosol radiative forcings suggests a better agreement with satellite and AERONET data, Atmos. Chem. Phys., 7, 81–95, https://doi.org/10.5194/acp-7-81-2007, 2007. a
Bangalath, H. K. and Stenchikov, G.: Role of dust direct radiative effect on the tropical rain belt over Middle East and North Africa: A high-resolution AGCM study, J. Geophys. Res.-Atmos., 120, 4564–4584, https://doi.org/10.1002/2015JD023122, 2015. a
Download
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.
Share
Altmetrics
Final-revised paper
Preprint