Articles | Volume 23, issue 13
https://doi.org/10.5194/acp-23-7521-2023
https://doi.org/10.5194/acp-23-7521-2023
Research article
 | 
11 Jul 2023
Research article |  | 11 Jul 2023

The variation in the particle number size distribution during the rainfall: wet scavenging and air mass changing

Guangdong Niu, Ximeng Qi, Liangduo Chen, Lian Xue, Shiyi Lai, Xin Huang, Jiaping Wang, Xuguang Chi, Wei Nie, Veli-Matti Kerminen, Tuukka Petäjä, Markku Kulmala, and Aijun Ding

Related authors

Modelling the impact of anthropogenic aerosols on CCN concentrations over a rural boreal forest environment
Petri Clusius, Metin Baykara, Carlton Xavier, Putian Zhou, Juniper Tyree, Benjamin Foreback, Mikko Äijälä, Frans Graeffe, Tuukka Petäjä, Markku Kulmala, Pauli Paasonen, Paul I. Palmer, and Michael Boy
Atmos. Chem. Phys., 26, 1967–1992, https://doi.org/10.5194/acp-26-1967-2026,https://doi.org/10.5194/acp-26-1967-2026, 2026
Short summary
GloPINE dataset: model-ready measurements of INP concentrations using PINE instruments
Ross James Herbert, Larissa Lacher, Alexander Böhmländer, Mark D. Tarn, Antione Canzi, Aidan Pantoya, Evelyn Freney, Kristina Höhler, Pia Bogert, Celine Planche, Ping Tian, Michael Adams, Sarah Barr, David Brus, Nicole Büttner, Martin Daily, Konstantinos Doulgeris, Konstantinos Eleftheridadis, Grant Forster, Romy Fösig, Dimitrios Georgakopoulos, Maria Gini, A. Gannett Hallar, Radovan Krejci, Elke Ludewig, Mauro Mazzola, Ian B. McCubbin, Tuukka Petäjä, Joseph Robinson, Franziska Vogel, Paul Zieger, Stephen R. Arnold, Kenneth S. Carslaw, Naruki Hiranuma, Ottmar Möhler, and Benjamin J. Murray
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2026-41,https://doi.org/10.5194/essd-2026-41, 2026
Preprint under review for ESSD
Short summary
Predicting Ice Nucleation Particle properties in a Boreal Environment using machine learning
Yusheng Wu, Zoé Brasseur, Dimtri Castarède, Paavo Heikkilä, Jorma Keskinen, Ottmar Möhler, Markku Kulmala, Tuukka Petäjä, Erik S. Thomson, and Jonathan Duplissy
Aerosol Research Discuss., https://doi.org/10.5194/ar-2026-4,https://doi.org/10.5194/ar-2026-4, 2026
Preprint under review for AR
Short summary
Deciphering isoprene variability across dozen of Chinese and overseas cities using deep transfer learning
Song Liu, Xiaopu Lyu, Fumo Yang, Zongbo Shi, Xin Huang, Tengyu Liu, Hongli Wang, Mei Li, Jian Gao, Nan Chen, Guoliang Shi, Yu Zou, Chenglei Pei, Chengxu Tong, Xinyi Liu, Li Zhou, Alex B. Guenther, and Nan Wang
Atmos. Chem. Phys., 26, 635–646, https://doi.org/10.5194/acp-26-635-2026,https://doi.org/10.5194/acp-26-635-2026, 2026
Short summary
Measurement report: New particle formation and aerosol properties at a newly founded atmospheric observatory at the Finnish Baltic Sea coast
Maija Peltola, Roseline Thakur, Kurt Spence, Janne Lampilahti, Ronja Mäkelä, Sasu Karttunen, Ekaterina Ezhova, Sami Haapanala, Aki Vähä, Juha Kangasluoma, Tommy Chan, Pauli Paasonen, Joanna Norkko, Alf Norkko, Markku Kulmala, and Mikael Ehn
Atmos. Chem. Phys., 26, 489–513, https://doi.org/10.5194/acp-26-489-2026,https://doi.org/10.5194/acp-26-489-2026, 2026
Short summary

Cited articles

Andronache, C., Grönholm, T., Laakso, L., Phillips, V., and Venäläinen, A.: Scavenging of ultrafine particles by rainfall at a boreal site: observations and model estimations, Atmos. Chem. Phys., 6, 4739–4754, https://doi.org/10.5194/acp-6-4739-2006, 2006. 
Atkinson, R. W., Kang, S., Anderson, H. R., Mills, I. C., and Walton, H. A.: Epidemiological time series studies of PM2.5 and daily mortality and hospital admissions: a systematic review and meta-analysis, Thorax, 69, 660–665, https://doi.org/10.1136/thoraxjnl-2013-204492, 2014. 
Bae, S. Y., Jung, C. H., and Kim, Y. P.: Derivation and verification of an aerosol dynamics expression for the below-cloud scavenging process using the moment method, J. Aerosol Sci., 41, 266–280, https://doi.org/10.1016/j.jaerosci.2009.11.006, 2010. 
Blanco-Alegre, C., Castro, A., Calvo, A. I., Oduber, F., Alonso-Blanco, E., Fernández-González, D., Valencia-Barrera, R. M., Vega-Maray, A. M., and Fraile, R.: Below-cloud scavenging of fine and coarse aerosol particles by rain: The role of raindrop size, Q. J. Roy. Meteor. Soc., 144, 2715–2726, https://doi.org/10.1002/qj.3399, 2018. 
Download
Short summary
The reported below-cloud wet-scavenging coefficients (BWSCs) are much higher than theoretical data, but the reason remains unclear. Based on long-term observation, we find that air mass changing during rainfall events causes the overestimation of BWSCs. Thus, the discrepancy in BWSCs between observation and theory is not as large as currently believed. To obtain reasonable BWSCs and parameterizations from field observations, the effect of air mass changes needs to be considered.
Share
Altmetrics
Final-revised paper
Preprint