2025

Prank, M., Tonttila, J., Shang, X., Romakkaniemi, S. and Raatikainen, T., 2025. Can pollen affect precipitation?. Atmospheric Chemistry and Physics, 25(1), 183-197. https://doi.org/10.5194/acp-25-183-2025

Kokkola, H., Tonttila, J., Calderón, S.M., Romakkaniemi, S., Lipponen, A., Peräkorpi, A., Mielonen, T., Gryspeerdt, E., Virtanen, T.H., Kolmonen, P. and Arola, A., 2025. Model analysis of biases in the satellite-diagnosed aerosol effect on the cloud liquid water path. Atmospheric Chemistry and Physics, 25(3), 1533-1543. https://doi.org/10.5194/acp-25-1533-2025

Petrenko, M., Kahn, R., Chin, M., Bauer, S.E., Bergman, T., Bian, H., Curci, G., Johnson, B., Kaiser, J.W., Kipling, Z. and Kokkola, H., 2025. Biomass burning emission analysis based on MODIS aerosol optical depth and AeroCom multi-model simulations: implications for model constraints and emission inventories. Atmospheric Chemistry and Physics, 25(3), 1545-1567. https://doi.org/10.5194/acp-25-1545-2025

Mielonen, T., Marshak, A. and Hu, Y., 2025. Towards 2030: a remote sensing perspective on achieving sustainable development goal 13–climate action. Frontiers in Remote Sensing, 6, 1553347. https://doi.org/10.3389/frsen.2025.1553347

2024

Blichner, S.M., Yli-Juuti, T., Mielonen, T., Pöhlker, C., Holopainen, E., Heikkinen, L., Mohr, C., Artaxo, P., Carbone, S., Meller, B.B. and Quaresma Dias-Júnior, C., 2024. Process-evaluation of forest aerosol-cloud-climate feedback shows clear evidence from observations and large uncertainty in models. Nature Communications, 15(1), 969. https://doi.org/10.1038/s41467-024-45001-y

Fadnavis, S., Sonbawne, S.M., Laakso, A., Ploeger, F., Rap, A., Heinold, B., Sabin, T.P. and Müller, R., 2024. Long range transport of South and East Asian anthropogenic aerosols counteracting Arctic warming. npj Climate and Atmospheric Science, 7(1), 101. https://doi.org/10.1038/s41612-024-00633-1

Jordan, G., Malavelle, F., Chen, Y., Peace, A., Duncan, E., Partridge, D.G., Kim, P., Watson-Parris, D., Takemura, T., Neubauer, D. and Myhre, G., 2024. How well are aerosol–cloud interactions represented in climate models?–Part 1: Understanding the sulfate aerosol production from the 2014–15 Holuhraun eruption. Atmospheric Chemistry and Physics, 24(3), 1939-1960. https://doi.org/10.5194/acp-24-1939-2024

Brodowsky, C.V., Sukhodolov, T., Chiodo, G., Aquila, V., Bekki, S., Dhomse, S.S., Höpfner, M., Laakso, A., Mann, G.W., Niemeier, U. and Pitari, G., 2024. Analysis of the global atmospheric background sulfur budget in a multi-model framework. Atmospheric Chemistry and Physics, 24(9), 5513-5548. https://doi.org/10.5194/acp-24-5513-2024

Laakso, A., Visioni, D., Niemeier, U., Tilmes, S. and Kokkola, H., 2024. Dependency of the impacts of geoengineering on the stratospheric sulfur injection strategy–Part 2: How changes in the hydrological cycle depend on the injection rate and model used. Earth System Dynamics, 15(2), 405-427. https://doi.org/10.5194/esd-15-405-2024

Mahura, A., Baklanov, A., Makkonen, R., Boy, M., Petäjä, T., Lappalainen, H.K., Nuterman, R., Kerminen, V.M., Arnold, S.R., Jochum, M. and Shvidenko, A., 2024. Towards seamless environmental prediction–development of Pan-Eurasian EXperiment (PEEX) modelling platform. Big Earth Data, 1-42. https://doi.org/10.1080/20964471.2024.2325019

Nordling, K., Keskinen, J.P., Romakkaniemi, S., Kokkola, H., Räisänen, P., Lipponen, A., Partanen, A.I., Ahola, J., Tonttila, J., Alper, M.E. and Korhonen, H., 2024. Emulation of a large-eddy simulator for stratocumulus clouds in a general circulation model. Atmospheric Chemistry and Physics, 24(2), 869-890. https://doi.org/10.5194/acp-24-869-2024

Baró Pérez, A., Diamond, M.S., Bender, F.A.M., Devasthale, A., Schwarz, M., Savre, J., Tonttila, J., Kokkola, H., Lee, H., Painemal, D. and Ekman, A.M., 2024. Comparing the simulated influence of biomass burning plumes on low-level clouds over the southeastern Atlantic under varying smoke conditions. Atmospheric Chemistry and Physics, 24(8), 4591-4610. https://doi.org/10.5194/acp-24-4591-2024

Kommula, S.M., Buchholz, A., Gramlich, Y., Mielonen, T., Hao, L., Pullinen, I., Vettikkat, L., Ylisirniö, A., Joutsensaari, J., Schobesberger, S. and Tiitta, P., 2024. Effect of long‐range transported fire aerosols on cloud condensation nuclei concentrations and cloud properties at high latitudes. Geophysical Research Letters, 51(6), e2023GL107134. https://doi.org/10.1029/2023GL107134

Hulkkonen, M., Mielonen, T., Leppänen, S., Laakso, A. and Kokkola, H., 2024. How tailored climate information affects attitudes towards climate policy and psychological distance of climate change. npj Climate Action, 3(1), 54. https://doi.org/10.1038/s44168-024-00136-y

Shang, X., Lipponen, A., Filioglou, M., Sundström, A.M., Parrington, M., Buchard, V., Darmenov, A.S., Welton, E.J., Marinou, E., Amiridis, V. and Sicard, M., 2024. Monitoring biomass burning aerosol transport using CALIOP observations and reanalysis models: a Canadian wildfire event in 2019. Atmospheric Chemistry and Physics, 24(2), 1329-1344. https://doi.org/10.5194/acp-24-1329-2024

Irfan, M., Kühn, T., Yli-Juuti, T., Laakso, A., Holopainen, E., Worsnop, D.R., Virtanen, A. and Kokkola, H., 2024. A model study investigating the sensitivity of aerosol forcing to the volatilities of semi-volatile organic compounds. Atmospheric Chemistry and Physics, 24(14), 8489-8506. https://doi.org/10.5194/acp-24-8489-2024

Kesti, J., O'Connor, E.J., Hirsikko, A., Backman, J., Filioglou, M., Sundström, A.M., Tonttila, J., Lihavainen, H., Korhonen, H. and Asmi, E., 2024. How horizontal transport and turbulent mixing impact aerosol particle and precursor concentrations at a background site in the UAE. Atmospheric Chemistry and Physics, 24(16), 9369-9386. https://doi.org/10.5194/acp-24-9369-2024

2023

Zhong, Q., Schutgens, N., van der Werf, G.R., Takemura, T., van Noije, T., Mielonen, T., Checa-Garcia, R., Lohmann, U., Kirkevåg, A., Olivié, D.J. and Kokkola, H., 2023. Threefold reduction of modeled uncertainty in direct radiative effects over biomass burning regions by constraining absorbing aerosols. Science advances, 9(48), eadi3568. https://doi.org/10.1126/sciadv.adi3568

Quaglia, I., Timmreck, C., Niemeier, U., Visioni, D., Pitari, G., Brodowsky, C., Brühl, C., Dhomse, S.S., Franke, H., Laakso, A. and Mann, G.W., 2023. Interactive stratospheric aerosol models' response to different amounts and altitudes of SO2 injection during the 1991 Pinatubo eruption. Atmospheric Chemistry and Physics, 23(2), 921-948. https://doi.org/10.5194/acp-23-921-2023

Miinalainen, T., Kokkola, H., Lipponen, A., Hyvärinen, A.P., Soni, V.K., Lehtinen, K.E. and Kühn, T., 2023. Assessing the climate and air quality effects of future aerosol mitigation in India using a global climate model combined with statistical downscaling. Atmospheric Chemistry and Physics, 23(6), 3471-3491. https://doi.org/10.5194/acp-23-3471-2023

Vepsäläinen, S., Calderón, S.M. and Prisle, N.L., 2023. Comparison of six approaches to predicting droplet activation of surface active aerosol–Part 2: strong surfactants. Atmospheric Chemistry and Physics, 23(23), 15149-15164. https://doi.org/10.5194/acp-23-15149-2023

Hulkkonen, M., Kaaronen, R.O., Kokkola, H., Mielonen, T., Clusius, P., Xavier, C., Hellén, H., Niemi, J.V. and Malila, J., 2023. Modeling non-linear changes in an urban setting: From pro-environmental affordances to responses in behavior, emissions and air quality. Ambio, 52(5), 976-994. https://doi.org/10.1007/s13280-022-01827-8