Articles | Volume 18, issue 10
https://doi.org/10.5194/gmd-18-2983-2025
https://doi.org/10.5194/gmd-18-2983-2025
Development and technical paper
 | 
21 May 2025
Development and technical paper |  | 21 May 2025

Accounting for effects of coagulation and model uncertainties in particle number concentration estimates based on measurements from sampling lines – a Bayesian inversion approach with SLIC v1.0

Matti Niskanen, Aku Seppänen, Henri Oikarinen, Miska Olin, Panu Karjalainen, Santtu Mikkonen, and Kari Lehtinen

Related authors

Decay phase aerosol dynamics of an indoor aerosol source has a significant role in exposure analysis
Kuisma Vesisenaho, Heino Kuuluvainen, Ukko-Ville Mäkinen, Miska Olin, and Panu Karjalainen
Aerosol Research Discuss., https://doi.org/10.5194/ar-2025-17,https://doi.org/10.5194/ar-2025-17, 2025
Preprint under review for AR
Short summary
Primary particle emissions and atmospheric secondary aerosol formation potential from a large-scale wood pellet-fired heating plant
Fanni Mylläri, Niina Kuittinen, Minna Aurela, Teemu Lepistö, Paavo Heikkilä, Laura Salo, Lassi Markkula, Panu Karjalainen, Joel Kuula, Sami Harni, Katriina Kyllönen, Satu Similä, Katriina Jalkanen, Joakim Autio, Marko Palonen, Jouni Valtatie, Anna Häyrinen, Hilkka Timonen, and Topi Rönkkö
Aerosol Research Discuss., https://doi.org/10.5194/ar-2025-14,https://doi.org/10.5194/ar-2025-14, 2025
Preprint under review for AR
Short summary
Machine Learning-Based Downscaling of Aerosol Size Distributions from a Global Climate Model
Antti Vartiainen, Santtu Mikkonen, Ville Leinonen, Tuukka Petäjä, Alfred Wiedensohler, Thomas Kühn, and Tuuli Miinalainen
EGUsphere, https://doi.org/10.5194/egusphere-2025-774,https://doi.org/10.5194/egusphere-2025-774, 2025
Short summary
The role of fuel and environmental conditions on the amount and composition of primary, fresh, and aged aerosol emissions originating from diesel- and gasoline-operated auxiliary heaters of passenger cars
Henri Oikarinen, Anni Hartikainen, Pauli Simonen, Miska Olin, Ukko-Ville Mäkinen, Petteri Marjanen, Laura Salo, Ville Silvonen, Sampsa Martikainen, Jussi Hoivala, Mika Ihalainen, Pasi Miettinen, Pasi Yli-Pirilä, Olli Sippula, Santtu Mikkonen, and Panu Karjalainen
EGUsphere, https://doi.org/10.5194/egusphere-2025-540,https://doi.org/10.5194/egusphere-2025-540, 2025
Short summary
Estimating errors in vehicle secondary aerosol production factors due to oxidation flow reactor response time
Pauli Simonen, Miikka Dal Maso, Pinja Prauda, Anniina Hoilijoki, Anette Karppinen, Pekka Matilainen, Panu Karjalainen, and Jorma Keskinen
Atmos. Meas. Tech., 17, 3219–3236, https://doi.org/10.5194/amt-17-3219-2024,https://doi.org/10.5194/amt-17-3219-2024, 2024
Short summary

Related subject area

Atmospheric sciences
The sensitivity of aerosol data assimilation to vertical profiles: case study of dust storm assimilation with LOTOS-EUROS v2.2
Mijie Pang, Jianbing Jin, Ting Yang, Xi Chen, Arjo Segers, Batjargal Buyantogtokh, Yixuan Gu, Jiandong Li, Hai Xiang Lin, Hong Liao, and Wei Han
Geosci. Model Dev., 18, 3781–3798, https://doi.org/10.5194/gmd-18-3781-2025,https://doi.org/10.5194/gmd-18-3781-2025, 2025
Short summary
Knowledge-inspired fusion strategies for the inference of PM2.5 values with a neural network
Matthieu Dabrowski, José Mennesson, Jérôme Riedi, Chaabane Djeraba, and Pierre Nabat
Geosci. Model Dev., 18, 3707–3733, https://doi.org/10.5194/gmd-18-3707-2025,https://doi.org/10.5194/gmd-18-3707-2025, 2025
Short summary
Tuning the ICON-A 2.6.4 climate model with machine-learning-based emulators and history matching
Pauline Bonnet, Lorenzo Pastori, Mierk Schwabe, Marco Giorgetta, Fernando Iglesias-Suarez, and Veronika Eyring
Geosci. Model Dev., 18, 3681–3706, https://doi.org/10.5194/gmd-18-3681-2025,https://doi.org/10.5194/gmd-18-3681-2025, 2025
Short summary
A novel method for quantifying the contribution of regional transport to PM2.5 in Beijing (2013–2020): combining machine learning with concentration-weighted trajectory analysis
Kang Hu, Hong Liao, Dantong Liu, Jianbing Jin, Lei Chen, Siyuan Li, Yangzhou Wu, Changhao Wu, Shitong Zhao, Xiaotong Jiang, Ping Tian, Kai Bi, Ye Wang, and Delong Zhao
Geosci. Model Dev., 18, 3623–3634, https://doi.org/10.5194/gmd-18-3623-2025,https://doi.org/10.5194/gmd-18-3623-2025, 2025
Short summary
Quantification of CO2 hotspot emissions from OCO-3 SAM CO2 satellite images using deep learning methods
Joffrey Dumont Le Brazidec, Pierre Vanderbecken, Alban Farchi, Grégoire Broquet, Gerrit Kuhlmann, and Marc Bocquet
Geosci. Model Dev., 18, 3607–3622, https://doi.org/10.5194/gmd-18-3607-2025,https://doi.org/10.5194/gmd-18-3607-2025, 2025
Short summary

Cited articles

Alam, M. K.: The effect of van der Waals and viscous forces on aerosol coagulation, Aerosol Sci. Tech., 6, 41–52, https://doi.org/10.1080/02786828708959118, 1987. a, b, c
Brooks, S., Gelman, A., Jones, G., and Meng, X.-L.: Handbook of Markov Chain Monte Carlo, CRC press, https://doi.org/10.1201/b10905, 2011. a
Commission Regulation (EU): 2019/1939 of 7 November 2019 amending Regulation (EU) No 582/2011 as regards Auxiliary Emission Strategies (AES), access to vehicle OBD information and vehicle repair and maintenance information, measurement of emissions during cold engine start periods and use of portable emissions measurement systems (PEMS) to measure particle numbers, with respect to heavy duty vehicles (Text with EEA relevance), https://eur-lex.europa.eu/eli/reg/2019/1939/oj (last access: 20 June 2024), 2019. a
Gelbard, F., Tambour, Y., and Seinfeld, J. H.: Sectional representations for simulating aerosol dynamics, J. Colloid. Interf. Sci., 76, 541–556, https://doi.org/10.1016/0021-9797(80)90394-x, 1980. a
Giechaskiel, B., Arndt, M., Schindler, W., Bergmann, A., Silvis, W., and Drossinos, Y.: Sampling of non-volatile vehicle exhaust particles: a simplified guide, SAE International Journal of Engines, 5, 379–399, https://doi.org/10.4271/2012-01-0443, 2012. a
Download
Short summary
Particle size is a key factor determining the properties of aerosol particles which have a major influence on the climate and on human health. When measuring the particle sizes, however, sometimes the sampling lines that transfer the aerosol to the measurement device distort the size distribution, making the measurement unreliable. We propose a method to correct for the distortions and estimate the true particle sizes, improving measurement accuracy.
Share