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Philip Stier
Organization:
University of Oxford
Email:
Business Phone:
Work:
+44 1865 x272887
Business Address:
University of Oxford
Department of Physics
Parks Road
Oxford
OX1 3PU
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Co-Authored Publications:
- Carzon, J., et al. (2023), Statistical constraints on climate model parameters using a scalable cloud-based inference framework, Environmental Data Science, 2, e24, doi:10.1017/eds.2023.12.
- 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.
- Kahn, R., et al. (2023), Reducing Aerosol Forcing Uncertainty by Combining Models With Satellite and Within-The-Atmosphere Observations: A Three-Way Street, Rev. Geophys., 61, e2022RG000796, doi:10.1029/2022RG000796.
- Christensen, M. W., et al. (2022), Opportunistic experiments to constrain aerosol effective radiative forcing, Atmos. Chem. Phys., doi:10.5194/acp-22-641-2022.
- Christensen, M. W., et al. (2022), Opportunistic experiments to constrain aerosol effective radiative forcing, Atmos. Chem. Phys., doi:10.5194/acp-22-641-2022.
- Dagan, G. 1. ✉., et al. (2022), Boundary conditions representation can determine simulated aerosol effects on convective cloud fields, Nature, doi:10.1038/s43247-022-00399-5.
- 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.
- 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.
- Redemann, J., et al. (2021), An overview of the ORACLES (ObseRvations of Aerosols above CLouds and their intEractionS) project: aerosol–cloud–radiation interactions in the southeast Atlantic basin, Atmos. Chem. Phys., 21, 1507-1563, doi:10.5194/acp-21-1507-2021.
- 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.
- Gryspeerdt, E., et al. (2020), Surprising similarities in model and observational aerosol radiative forcing estimates, Atmos. Chem. Phys., 20, 613-623, doi:10.5194/acp-20-613-2020.
- Redemann, J., et al. (2020), An overview of the ORACLES (ObseRvations of Aerosols above CLouds and their intEractionS) project: aerosol-cloud-radiation interactions in the Southeast Atlantic basin, Atmos. Chem. Phys. Discuss., doi:10.5194/acp-2020-449.
- 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.
- Watson-Parris, D., et al. (2019), In situ constraints on the vertical distribution of global aerosol, Atmos. Chem. Phys., 19, 11765-11790, doi:10.5194/acp-19-11765-2019.
- Sand, M., et al. (2017), Aerosols at the poles: an AeroCom Phase II multi-model evaluation, Atmos. Chem. Phys., 17, 12197-12218, doi:10.5194/acp-17-12197-2017.
- Ghan, S., et al. (2016), Challenges in constraining anthropogenic aerosol effects on cloud radiative forcing using present-day spatiotemporal variability, Proc. Natl. Acad. Sci., 113, 5804-5811, doi:10.1073/pnas.1514036113.
- Koffi, B., et al. (2016), Evaluation of the aerosol vertical distribution in global aerosol models through comparison against CALIOP measurements: AeroCom phase II results, J. Geophys. Res., 121, 7254-7283, doi:10.1002/2015JD024639.
- Samset, B. H., et al. (2013), Black carbon vertical profiles strongly affect its radiative forcing uncertainty, Atmos. Chem. Phys., 13, 2423-2434, doi:10.5194/acp-13-2423-2013.