Articles | Volume 20, issue 13
Atmos. Chem. Phys., 20, 7979–8001, 2020
https://doi.org/10.5194/acp-20-7979-2020
Atmos. Chem. Phys., 20, 7979–8001, 2020
https://doi.org/10.5194/acp-20-7979-2020

Research article 10 Jul 2020

Research article | 10 Jul 2020

Vertical redistribution of moisture and aerosol in orographic mixed-phase clouds

Annette K. Miltenberger et al.

Related authors

Model emulation to understand the joint effects of ice-nucleating particles and secondary ice production on deep convective anvil cirrus
Rachel E. Hawker, Annette K. Miltenberger, Jill S. Johnson, Jonathan M. Wilkinson, Adrian A. Hill, Ben J. Shipway, Paul R. Field, Benjamin J. Murray, and Ken S. Carslaw
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2021-513,https://doi.org/10.5194/acp-2021-513, 2021
Revised manuscript accepted for ACP
Short summary
Automated detection and classification of synoptic scale fronts from atmospheric data grids
Stefan Niebler, Annette Miltenberger, Bertil Schmidt, and Peter Spichtinger
Weather Clim. Dynam. Discuss., https://doi.org/10.5194/wcd-2021-27,https://doi.org/10.5194/wcd-2021-27, 2021
Revised manuscript under review for WCD
Short summary
The temperature dependence of ice-nucleating particle concentrations affects the radiative properties of tropical convective cloud systems
Rachel E. Hawker, Annette K. Miltenberger, Jonathan M. Wilkinson, Adrian A. Hill, Ben J. Shipway, Zhiqiang Cui, Richard J. Cotton, Ken S. Carslaw, Paul R. Field, and Benjamin J. Murray
Atmos. Chem. Phys., 21, 5439–5461, https://doi.org/10.5194/acp-21-5439-2021,https://doi.org/10.5194/acp-21-5439-2021, 2021
Short summary
Sensitivity of mixed-phase moderately deep convective clouds to parameterizations of ice formation – an ensemble perspective
Annette K. Miltenberger and Paul R. Field
Atmos. Chem. Phys., 21, 3627–3642, https://doi.org/10.5194/acp-21-3627-2021,https://doi.org/10.5194/acp-21-3627-2021, 2021
Short summary
Large simulated radiative effects of smoke in the south-east Atlantic
Hamish Gordon, Paul R. Field, Steven J. Abel, Mohit Dalvi, Daniel P. Grosvenor, Adrian A. Hill, Ben T. Johnson, Annette K. Miltenberger, Masaru Yoshioka, and Ken S. Carslaw
Atmos. Chem. Phys., 18, 15261–15289, https://doi.org/10.5194/acp-18-15261-2018,https://doi.org/10.5194/acp-18-15261-2018, 2018
Short summary

Related subject area

Subject: Clouds and Precipitation | Research Activity: Atmospheric Modelling | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
Aerosol–cloud interactions: the representation of heterogeneous ice activation in cloud models
Bernd Kärcher and Claudia Marcolli
Atmos. Chem. Phys., 21, 15213–15220, https://doi.org/10.5194/acp-21-15213-2021,https://doi.org/10.5194/acp-21-15213-2021, 2021
Short summary
Sensitivity of precipitation formation to secondary ice production in winter orographic mixed-phase clouds
Zane Dedekind, Annika Lauber, Sylvaine Ferrachat, and Ulrike Lohmann
Atmos. Chem. Phys., 21, 15115–15134, https://doi.org/10.5194/acp-21-15115-2021,https://doi.org/10.5194/acp-21-15115-2021, 2021
Short summary
Environmental sensitivities of shallow-cumulus dilution – Part 2: Vertical wind profile
Sonja Drueke, Daniel J. Kirshbaum, and Pavlos Kollias
Atmos. Chem. Phys., 21, 14039–14058, https://doi.org/10.5194/acp-21-14039-2021,https://doi.org/10.5194/acp-21-14039-2021, 2021
Short summary
Supersaturation, buoyancy, and deep convection dynamics
Wojciech W. Grabowski and Hugh Morrison
Atmos. Chem. Phys., 21, 13997–14018, https://doi.org/10.5194/acp-21-13997-2021,https://doi.org/10.5194/acp-21-13997-2021, 2021
Short summary
Statistical properties of a stochastic model of eddy hopping
Izumi Saito, Takeshi Watanabe, and Toshiyuki Gotoh
Atmos. Chem. Phys., 21, 13119–13130, https://doi.org/10.5194/acp-21-13119-2021,https://doi.org/10.5194/acp-21-13119-2021, 2021
Short summary

Cited articles

Abdul-Razzak, H. and Ghan, S. J.: A parameterization of aerosol activation. 2. Multiple aerosol types, J. Geophys. Res., 105, 6837–6844, 2000. a
Aranami, K., Zerroukat, M., and Wood, N.: Mixing properties of SLICE and other mass-conservative semi-Lagrangian schemes, Q. J. Roy. Meteor. Soc., 140, 2084–2089, https://doi.org/10.1002/qj.2268, 2014. a
Aranami, K., Davies, T., and Wood, N.: A mass restoration scheme for limited-area models with semi-Lagrangian advection, Q. J. Roy. Meteor. Soc., 141, 1795–1803, https://doi.org/10.1002/qj.2482, 2015. a
Atkinson, J. D., Murray, B. J., Woodhouse, M. T., Whale, T. F., Baustian, K. J., Carslaw, K. S., Dobbie, S., O'Sullivan, D., and Malkin, T. L.: The importance of feldspar for ice nucleation by mineral dust in mixed-phase clouds, Nature, 498, 355–358, https://doi.org/10.1038/nature12278, 2013. a, b, c, d, e, f
Baker, B. A. and Lawson, R. P.: In Situ Observations of the Microphysical Properties of Wave, Cirrus, and Anvil Clouds. Part I: Wave Clouds, J. Atmos. Sci., 63, 3160–3185, https://doi.org/10.1175/JAS3802.1, 2006. a
Download
Short summary
Orographic wave clouds offer a natural laboratory to investigate cloud microphysical processes and their representation in atmospheric models. They impact the larger-scale flow by a vertical redistribution of moisture and aerosol. We use detailed observations from the ICE-L campaign to evaluate the representation of these clouds in a state-of-the-art numerical weather prediction model and explore the impact of environmental conditions on the vertical redistribution of moisture.
Altmetrics
Final-revised paper
Preprint