Articles | Volume 18, issue 13
https://doi.org/10.5194/acp-18-10039-2018
© Author(s) 2018. 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-18-10039-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
16 Jul 2018
Research article |
| 16 Jul 2018
| 16 Jul 2018
Advancing global aerosol simulations with size-segregated anthropogenic particle number emissions
Filippo Xausa
CORRESPONDING AUTHOR
Division of Atmospheric Sciences, Department of Physics, University of Helsinki, Helsinki, Finland
Pauli Paasonen
Division of Atmospheric Sciences, Department of Physics, University of Helsinki, Helsinki, Finland
International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria
Risto Makkonen
Division of Atmospheric Sciences, Department of Physics, University of Helsinki, Helsinki, Finland
Mikhail Arshinov
Institute of Atmospheric Optics, SB RAS, 634055, Tomsk, Russia
Aijun Ding
Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University, Nanjing 210023, China
Hugo Denier Van Der Gon
TNO, Department of Climate, Air and Sustainability, Utrecht, the Netherlands
Veli-Matti Kerminen
Division of Atmospheric Sciences, Department of Physics, University of Helsinki, Helsinki, Finland
Markku Kulmala
Division of Atmospheric Sciences, Department of Physics, University of Helsinki, Helsinki, Finland
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Total article views: 3,802 (including HTML, PDF, and XML)
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Total article views: 3,111 (including HTML, PDF, and XML)
Thereof 3,111 with geography defined
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Total article views: 691 (including HTML, PDF, and XML)
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Cited
14 citations as recorded by crossref.
- Shipping Remains a Globally Significant Source of Anthropogenic PN Emissions Even after 2020 Sulfur Regulation N. Kuittinen et al.
- Impact of Dilution Ratio and Burning Conditions on the Number Size Distribution and Size-Dependent Mixing State of Primary Particles from Domestic Solid Fuel Burning S. Zheng et al.
- Mitigation Impact of Different Harvest Scenarios of Finnish Forests That Account for Albedo, Aerosols, and Trade-Offs of Carbon Sequestration and Avoided Emissions T. Kalliokoski et al.
- Overview: Recent advances in the understanding of the northern Eurasian environments and of the urban air quality in China – a Pan-Eurasian Experiment (PEEX) programme perspective H. Lappalainen et al.
- A Lagrangian view on severe haze in Beijing: local and long-range sources of trace gases and primary and secondary aerosols B. Foreback et al.
- Ultrafine Particles in the Lower Troposphere: Major Sources, Invisible Plumes, and Meteorological Transport Processes W. Junkermann & J. Hacker
- Global–regional nested simulation of particle number concentration by combing microphysical processes with an evolving organic aerosol module X. Chen et al.
- Implementation of the MOSAIC aerosol module (v1.0) in the Canadian air quality model GEM-MACH (v3.1) K. Semeniuk et al.
- The variation in the particle number size distribution during the rainfall: wet scavenging and air mass changing G. Niu et al.
- The potential role of methanesulfonic acid (MSA) in aerosol formation and growth and the associated radiative forcings A. Hodshire et al.
- A comprehensive review of vertical profiling of ambient air quality-particulate matter and its impacts on climatic & environmental health P. Nyayapathi et al.
- Simulating the Fate of Dimethyl Sulfide (DMS) in the Atmosphere: A Review of Emission and Chemical Parameterizations E. Pino-Cortés et al.
- Size-resolved particle number emissions in Beijing determined from measured particle size distributions J. Kontkanen et al.
- SALSA2.0: The sectional aerosol module of the aerosol–chemistry–climate model ECHAM6.3.0-HAM2.3-MOZ1.0 H. Kokkola et al.
14 citations as recorded by crossref.
- Shipping Remains a Globally Significant Source of Anthropogenic PN Emissions Even after 2020 Sulfur Regulation N. Kuittinen et al.
- Impact of Dilution Ratio and Burning Conditions on the Number Size Distribution and Size-Dependent Mixing State of Primary Particles from Domestic Solid Fuel Burning S. Zheng et al.
- Mitigation Impact of Different Harvest Scenarios of Finnish Forests That Account for Albedo, Aerosols, and Trade-Offs of Carbon Sequestration and Avoided Emissions T. Kalliokoski et al.
- Overview: Recent advances in the understanding of the northern Eurasian environments and of the urban air quality in China – a Pan-Eurasian Experiment (PEEX) programme perspective H. Lappalainen et al.
- A Lagrangian view on severe haze in Beijing: local and long-range sources of trace gases and primary and secondary aerosols B. Foreback et al.
- Ultrafine Particles in the Lower Troposphere: Major Sources, Invisible Plumes, and Meteorological Transport Processes W. Junkermann & J. Hacker
- Global–regional nested simulation of particle number concentration by combing microphysical processes with an evolving organic aerosol module X. Chen et al.
- Implementation of the MOSAIC aerosol module (v1.0) in the Canadian air quality model GEM-MACH (v3.1) K. Semeniuk et al.
- The variation in the particle number size distribution during the rainfall: wet scavenging and air mass changing G. Niu et al.
- The potential role of methanesulfonic acid (MSA) in aerosol formation and growth and the associated radiative forcings A. Hodshire et al.
- A comprehensive review of vertical profiling of ambient air quality-particulate matter and its impacts on climatic & environmental health P. Nyayapathi et al.
- Simulating the Fate of Dimethyl Sulfide (DMS) in the Atmosphere: A Review of Emission and Chemical Parameterizations E. Pino-Cortés et al.
- Size-resolved particle number emissions in Beijing determined from measured particle size distributions J. Kontkanen et al.
- SALSA2.0: The sectional aerosol module of the aerosol–chemistry–climate model ECHAM6.3.0-HAM2.3-MOZ1.0 H. Kokkola et al.
Saved (final revised paper)
Latest update: 11 May 2026
Short summary
Our project describes the feasibility of implementing particle number emissions taken from the GAINS model in global climate modeling through a simulation with the ECHAM-HAM global climate model. The results from the simulations have important implications regarding modeled particle number concentrations and future climate effects. Our findings represent an important starting point for further simulations concerning climate effects derived from anthropogenic particle emissions on a global scale.
Our project describes the feasibility of implementing particle number emissions taken from the...
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