| Aerosol‐Cloud Interactions Near Cloud Base Deteriorating the Haze Pollution in East China X Qi, C Zhu, L Chen, X Chi, J Wang, G Niu, S Lai, W Nie, Y Zhu, X Huang, ... Geophysical Research Letters 51 (12), e2024GL109975, 2024 | | 2024 |
| Identifying Driving Factors of Atmospheric N2O5 with Machine Learning X Chen, W Ma, F Zheng, Z Wang, C Hua, Y Li, J Wu, B Li, J Jiang, C Yan, ... Environmental Science & Technology, 2024 | | 2024 |
| On the potential of Cluster Ion Counter (CIC) to observe local new particle formation, condensation sink and growth rate of newly formed particles M Kulmala, S Tuovinen, S Mirme, P Koemets, L Ahonen, Y Liu, ... Aerosol Research Discussions 2024, 1-22, 2024 | | 2024 |
| Vertical distribution of ice nucleating particles over the boreal forest of Hyytiälä, Finland Z Brasseur, J Schneider, J Lampilahti, V Vakkari, VA Sinclair, ... EGUsphere 2024, 1-42, 2024 | | 2024 |
| Aerosol, Clouds and Trace Gases Research Infrastructure–ACTRIS, the European research infrastructure supporting atmospheric science P Laj, C Lund Myhre, V Riffault, V Amiridis, H Fuchs, K Eleftheriadis, ... Bulletin of the American Meteorological Society, 2024 | 2 | 2024 |
| Key drivers of the oxidative potential of PM2. 5 in Beijing in the context of air quality improvement from 2018 to 2022 J Li, C Hua, L Ma, K Chen, F Zheng, Q Chen, X Bao, J Sun, R Xie, ... Environment International 187, 108724, 2024 | | 2024 |
| Cloud response to co-condensation of water and organic vapors over the boreal forest L Heikkinen, DG Partridge, S Blichner, W Huang, R Ranjan, P Bowen, ... Atmospheric Chemistry and Physics 24 (8), 5117-5147, 2024 | | 2024 |
| Seamless modeling of direct and indirect aerosol effects during April 2020 wildfire episode in Ukraine M Savenets, V Rybchynska, A Mahura, R Nuterman, A Baklanov, ... Atmosphere 15 (5), 550, 2024 | 3 | 2024 |
| Applicability of small-scale black carbon sensors to explore high resolution spatial variability of ambient black carbon T Elomaa, K Luoma, S Harni, A Virkkula, H Timonen, T Petäjä Aerosol Research Discussions 2024, 1-31, 2024 | | 2024 |
| Ice-nucleating particles active below-24° C in a Finnish boreal forest and their relationship to bioaerosols F Vogel, MP Adams, L Lacher, P Foster, GCE Porter, B Bertozzi, K Höhler, ... EGUsphere 2024, 1-25, 2024 | 1 | 2024 |
| Towards seamless environmental prediction–development of Pan-Eurasian EXperiment (PEEX) modelling platform A Mahura, A Baklanov, R Makkonen, M Boy, T Petäjä, HK Lappalainen, ... Big Earth Data, 1-42, 2024 | 1 | 2024 |
| Comparative analysis of the effects of different purification methods on the yield and purity of cow milk extracellular vesicles S Kankaanpää, M Nurmi, M Lampimäki, H Leskinen, A Nieminen, ... Journal of Extracellular Biology 3 (4), e149, 2024 | | 2024 |
| Opinion: A paradigm shift in investigating the general characteristics of atmospheric new particle formation using field observations M Kulmala, D Aliaga, S Tuovinen, R Cai, H Junninen, C Yan, F Bianchi, ... Aerosol Research 2 (1), 49-58, 2024 | | 2024 |
| IrMaSet: Intelligent Weather Forecaster System for Hyper-Local Renewable Energies MA Zaidan, NH Motlagh, B Zakeri, T Petäjä, M Kulmala, S Tarkoma IEEE Consumer Electronics Magazine, 2024 | | 2024 |
| Aerosol Processes at the Pristine High-Altitude Izaña Atmospheric Observatory (2367 m asl), Canary Islands W Huang, J Shen, M Okuljar, M Agrò, D Aliaga, Á Barretov, S Rodríguez, ... EGU24, 2024 | | 2024 |
| Near-surface meteorology changes driven by aerosol effects during the April 2020 wildfires in the Chornobyl Exclusion Zone, Ukraine M Savenets, A Mahura, R Nuterman, T Petäjä EGU24, 2024 | | 2024 |
| ACTRIS-University of Helsinki Topical Centre units provide support for measurements of secondary aerosol formation N Sarnela, J Lampilahti, T Petäjä, K Lehtipalo, S Häme EGU24, 2024 | | 2024 |
| Links between boreal forest and clouds inferred from long-term atmospheric observations E Ezhova, A Aarne, A Arola, A Liponen, A Lintunen, T Yli-Juuti, J Bäck, ... EGU24, 2024 | | 2024 |
| Corrigendum to" Constructing transferable and interpretable machine learning models for black carbon concentrations"[Environ. Int. 184 (2024) 108449] PL Fung, M Savadkoohi, MA Zaidan, JV Niemi, H Timonen, M Pandolfi, ... Environment international 185, 108561, 2024 | | 2024 |
| Recommendations for reporting equivalent black carbon (eBC) mass concentrations based on long-term pan-European in-situ observations M Savadkoohi, M Pandolfi, O Favez, JP Putaud, K Eleftheriadis, M Fiebig, ... Environment international 185, 108553, 2024 | 1 | 2024 |
Heikki JunninenUniversity of Tartu, Institute of Physics在 ut.ee 的电子邮件经过验证
