Articles | Volume 12, issue 6
https://doi.org/10.5194/acp-12-2823-2012
https://doi.org/10.5194/acp-12-2823-2012
Research article
 | 
16 Mar 2012
Research article |  | 16 Mar 2012

Inverse modelling of cloud-aerosol interactions – Part 2: Sensitivity tests on liquid phase clouds using a Markov chain Monte Carlo based simulation approach

D. G. Partridge, J. A. Vrugt, P. Tunved, A. M. L. Ekman, H. Struthers, and A. Sorooshian

Related subject area

Subject: Clouds and Precipitation | Research Activity: Atmospheric Modelling | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
Impact of formulations of the homogeneous nucleation rate on ice nucleation events in cirrus
Peter Spichtinger, Patrik Marschalik, and Manuel Baumgartner
Atmos. Chem. Phys., 23, 2035–2060, https://doi.org/10.5194/acp-23-2035-2023,https://doi.org/10.5194/acp-23-2035-2023, 2023
Short summary
Temperature and cloud condensation nuclei (CCN) sensitivity of orographic precipitation enhanced by a mixed-phase seeder–feeder mechanism: a case study for the 2015 Cumbria flood
Julia Thomas, Andrew Barrett, and Corinna Hoose
Atmos. Chem. Phys., 23, 1987–2002, https://doi.org/10.5194/acp-23-1987-2023,https://doi.org/10.5194/acp-23-1987-2023, 2023
Short summary
Aerosol–precipitation elevation dependence over the central Himalayas using cloud-resolving WRF-Chem numerical modeling
Pramod Adhikari and John F. Mejia
Atmos. Chem. Phys., 23, 1019–1042, https://doi.org/10.5194/acp-23-1019-2023,https://doi.org/10.5194/acp-23-1019-2023, 2023
Short summary
Machine learning of cloud types in satellite observations and climate models
Peter Kuma, Frida A.-M. Bender, Alex Schuddeboom, Adrian J. McDonald, and Øyvind Seland
Atmos. Chem. Phys., 23, 523–549, https://doi.org/10.5194/acp-23-523-2023,https://doi.org/10.5194/acp-23-523-2023, 2023
Short summary
A modeling study of an extreme rainfall event along the northern coast of Taiwan on 2 June 2017
Chung-Chieh Wang, Ting-Yu Yeh, Chih-Sheng Chang, Ming-Siang Li, Kazuhisa Tsuboki, and Ching-Hwang Liu
Atmos. Chem. Phys., 23, 501–521, https://doi.org/10.5194/acp-23-501-2023,https://doi.org/10.5194/acp-23-501-2023, 2023
Short summary

Cited articles

Andreae, M. O. and Rosenfeld, D.: Aerosol-cloud-precipitation interactions. Part 1. The nature and sources of cloud-active aerosols, Earth Sci. Rev., 89, 13–41, 2008.
Anttila, T. and Kerminen, V.-M.: On the contribution of Aitken mode particles to cloud droplet populations at continental background areas – a parametric sensitivity study, Atmos. Chem. Phys., 7, 4625–4637, https://doi.org/10.5194/acp-7-4625-2007, 2007.
Ayers, G. P. and Larson, T. V.: Numerical study of droplet size dependent chemistry in oceanic, wintertime, stratus cloud at southern midlattitudes, J. Atmos. Chem., 11, 143–167, 1990.
Benke, K. K., Lowell, K. E., and Hamilton, A. J.: Parameter uncertainty, sensitivity analysis and prediction error in a water-balance hydrological model, Math. Comput. Model., 47, 1134–1149, 2008.
Bikowski, J., van der Kruk, J., Huisman, J. A., Vereecken, H., and Vrugt, J. A.: Inversion and sensitivity analysis of GPR data with waveguide dispersion using Markov Chain Monte Carlo simulation, Ground Penetrating Radar (GPR), 13th International Conference, 2010.
Download
Altmetrics
Final-revised paper
Preprint