12 citations as recorded by crossref.

1. Adjoint sensitivity of global cloud droplet number to aerosol and dynamical parameters V. Karydis et al. 10.5194/acp-12-9041-2012
2. Lidar retrievals of cloud droplet number concentration at the cumulus base: A feasibility study T. Stacewicz et al. 10.1016/j.atmosres.2013.10.023
3. An aerosol activation metamodel of v1.2.0 of the pyrcel cloud parcel model: development and offline assessment for use in an aerosol–climate model D. Rothenberg & C. Wang 10.5194/gmd-10-1817-2017
4. Inverse modelling of Köhler theory – Part 1: A response surface analysis of CCN spectra with respect to surface-active organic species S. Lowe et al. 10.5194/acp-16-10941-2016
5. Key drivers of cloud response to surface-active organics S. Lowe et al. 10.1038/s41467-019-12982-0
6. Model calibration using ESEm v1.1.0 – an open, scalable Earth system emulator D. Watson-Parris et al. 10.5194/gmd-14-7659-2021
7. Ozonolysis of Oleic Acid Aerosol Revisited: Multiphase Chemical Kinetics and Reaction Mechanisms T. Berkemeier et al. 10.1021/acsearthspacechem.1c00232
8. Inverse modelling of cloud-aerosol interactions – Part 2: Sensitivity tests on liquid phase clouds using a Markov chain Monte Carlo based simulation approach D. Partridge et al. 10.5194/acp-12-2823-2012
9. Physical and Chemical Properties of Cloud Droplet Residuals and Aerosol Particles During the Arctic Ocean 2018 Expedition L. Karlsson et al. 10.1029/2021JD036383
10. Cloud response to co-condensation of water and organic vapors over the boreal forest L. Heikkinen et al. 10.5194/acp-24-5117-2024
11. Markov chain Monte Carlo simulation using the DREAM software package: Theory, concepts, and MATLAB implementation J. Vrugt 10.1016/j.envsoft.2015.08.013
12. Embracing equifinality with efficiency: Limits of Acceptability sampling using the DREAM(LOA) algorithm J. Vrugt & K. Beven 10.1016/j.jhydrol.2018.02.026