Ken Carslaw
Organization:
University of Leeds
Email:
Business Phone:
+44 7427 491118
Business Address:
University of Leeds
School of Earth and Environment, University of Leeds
Leeds
LS2 9JT
Website:
Co-Authored Publications:
- Ahsan, H., et al. (2024), The Emissions Model Intercomparison Project (Emissions-MIP): quantifying model sensitivity to emission characteristics, Atmos. Chem. Phys., doi:10.5194/acp-23-14779-2023.
- Gordon, H., et al. (2024), NUMAC: Description of the Nested Unified Model With Aerosols and Chemistry, and Evaluation With KORUS-AQ Data, J. Adv. Modeling Earth Syst..
- 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.
- Regayre, L. A., et al. (2023), Identifying climate model structural inconsistencies allows for tight constraint of aerosol radiative forcing, Atmos. Chem. Phys., doi:10.5194/acp-23-8749-2023.
- Wang, X., et al. (2023), Contribution of regional aerosol nucleation to low-level CCN in an Amazonian deep convective environment: results from a regionally nested global model, Atmos. Chem. Phys., doi:10.5194/acp-23-4431-2023.
- Ranjithkumar, A., et al. (2021), Constraints on global aerosol number concentration, SO2 and condensation sink in UKESM1 using ATom measurements, Atmos. Chem. Phys., 21, 4979-5014, doi:10.5194/acp-21-4979-2021.
- Ding, K., et al. (2020), Asian monsoon amplifies semi-direct effect of biomass burning aerosols on low cloud formation, EarthArXiv Preprint Ding et al..
- Gordon, H., et al. (2020), Development of aerosol activation in the double-moment Unified Model and evaluation with CLARIFY measurements, Atmos. Chem. Phys., 20, 10997-11024, doi:10.5194/acp-20-10997-2020.
- 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.
- 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.