Organization
University of Oxford
Email
Co-Authored Publications
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Che, H., et al. (2023), Source attribution of cloud condensation nuclei and their impact on stratocumulus clouds and radiation in the south-eastern Atlantic, Atmos. Chem. Phys., doi:10.5194/acp-22-10789-2022.
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Christensen, M.W., et al. (2022), Opportunistic experiments to constrain aerosol effective radiative forcing, Atmos. Chem. Phys., doi:10.5194/acp-22-641-2022.
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Christensen, M.W., et al. (2022), Opportunistic experiments to constrain aerosol effective radiative forcing, Atmos. Chem. Phys., doi:10.5194/acp-22-641-2022.
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Salzmann, M., et al. (2022), The Global Atmosphere-aerosol Model ICON-A-HAM2.3– Initial Model Evaluation and Effects of Radiation Balance Tuning on Aerosol Optical Thickness, J. Adv. Modeling Earth Syst., 22(9), 6347-6364, doi:10.1029/2021MS002699.
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Che, H., et al. (2021), Cloud adjustments dominate the overall negative aerosol radiative effects of biomass burning aerosols in UKESM1 climate model simulations over the south-eastern Atlantic, Atmos. Chem. Phys., 21, 17-33, doi:10.5194/acp-21-17-2021.
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Che, H., et al. (2020), The significant role of biomass burning aerosols in clouds and radiation in the South-eastern Atlantic Ocean, Atmos. Chem. Phys., doi:10.5194/acp-2020-532.
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Haywood, J., et al. (2020), Overview: The CLoud-Aerosol-Radiation Interaction and Forcing: Year2017 (CLARIFY-2017) measurement campaign, Atmos. Chem. Phys., doi:10.5194/acp-2020-729.
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Fanourgakis, G.S., et al. (2019), Evaluation of global simulations of aerosol particle and cloud condensation nuclei number, with implications for cloud droplet formation, Atmos. Chem. Phys., 19, 8591-8617, doi:10.5194/acp-19-8591-2019.
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Heikenfeld, M., et al. (2019), tobac 1.2: towards a flexible framework for tracking and analysis of clouds in diverse datasets, Geosci. Model. Dev., 12, 4551-4570, doi:10.5194/gmd-12-4551-2019.
Note: Only publications that have been uploaded to the ESD Publications database are listed here.