Articles | Volume 14, issue 23
https://doi.org/10.5194/acp-14-12665-2014
https://doi.org/10.5194/acp-14-12665-2014
Research article
 | 
02 Dec 2014
Research article |  | 02 Dec 2014

Using cloud ice flux to parametrise large-scale lightning

D. L. Finney, R. M. Doherty, O. Wild, H. Huntrieser, H. C. Pumphrey, and A. M. Blyth

Related authors

Microphysical fingerprints in anvil cloud albedo
Declan L. Finney, Alan M. Blyth, Paul R. Field, Martin I. Daily, Benjamin J. Murray, Mengyu Sun, Paul J. Connolly, Zhiqiang Cui, and Steven Böing
EGUsphere, https://doi.org/10.5194/egusphere-2025-1227,https://doi.org/10.5194/egusphere-2025-1227, 2025
Short summary
Deep Convective Microphysics Experiment (DCMEX) coordinated aircraft and ground observations: microphysics, aerosol, and dynamics during cumulonimbus development
Declan L. Finney, Alan M. Blyth, Martin Gallagher, Huihui Wu, Graeme J. Nott, Michael I. Biggerstaff, Richard G. Sonnenfeld, Martin Daily, Dan Walker, David Dufton, Keith Bower, Steven Böing, Thomas Choularton, Jonathan Crosier, James Groves, Paul R. Field, Hugh Coe, Benjamin J. Murray, Gary Lloyd, Nicholas A. Marsden, Michael Flynn, Kezhen Hu, Navaneeth M. Thamban, Paul I. Williams, Paul J. Connolly, James B. McQuaid, Joseph Robinson, Zhiqiang Cui, Ralph R. Burton, Gordon Carrie, Robert Moore, Steven J. Abel, Dave Tiddeman, and Graydon Aulich
Earth Syst. Sci. Data, 16, 2141–2163, https://doi.org/10.5194/essd-16-2141-2024,https://doi.org/10.5194/essd-16-2141-2024, 2024
Short summary
The impact of lightning on tropospheric ozone chemistry using a new global lightning parametrisation
D. L. Finney, R. M. Doherty, O. Wild, and N. L. Abraham
Atmos. Chem. Phys., 16, 7507–7522, https://doi.org/10.5194/acp-16-7507-2016,https://doi.org/10.5194/acp-16-7507-2016, 2016
Short summary

Related subject area

Subject: Clouds and Precipitation | Research Activity: Atmospheric Modelling and Data Analysis | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
Counteracting influences of gravitational settling modulate aerosol impacts on cloud-base-lowering fog characteristics
Nathan H. Pope and Adele L. Igel
Atmos. Chem. Phys., 25, 5433–5444, https://doi.org/10.5194/acp-25-5433-2025,https://doi.org/10.5194/acp-25-5433-2025, 2025
Short summary
The critical number and size of precipitation embryos to accelerate warm rain initiation
Jung-Sub Lim, Yign Noh, Hyunho Lee, and Fabian Hoffmann
Atmos. Chem. Phys., 25, 5313–5329, https://doi.org/10.5194/acp-25-5313-2025,https://doi.org/10.5194/acp-25-5313-2025, 2025
Short summary
Impact on the stratocumulus-to-cumulus transition of the interaction of cloud microphysics and macrophysics with large-scale circulation
Je-Yun Chun, Robert Wood, Peter N. Blossey, and Sarah J. Doherty
Atmos. Chem. Phys., 25, 5251–5271, https://doi.org/10.5194/acp-25-5251-2025,https://doi.org/10.5194/acp-25-5251-2025, 2025
Short summary
Technical note: Phase space depiction of cloud condensation nuclei activation and cloud droplet diffusional growth
Wojciech W. Grabowski and Hanna Pawlowska
Atmos. Chem. Phys., 25, 5273–5285, https://doi.org/10.5194/acp-25-5273-2025,https://doi.org/10.5194/acp-25-5273-2025, 2025
Short summary
Impact of wildfire smoke on Arctic cirrus formation – Part 2: Simulation of MOSAiC 2019–2020 cases
Albert Ansmann, Cristofer Jimenez, Daniel A. Knopf, Johanna Roschke, Johannes Bühl, Kevin Ohneiser, and Ronny Engelmann
Atmos. Chem. Phys., 25, 4867–4884, https://doi.org/10.5194/acp-25-4867-2025,https://doi.org/10.5194/acp-25-4867-2025, 2025
Short summary

Cited articles

Ahlgrimm, M. and Köhler, M.: Evaluation of trade cumulus in the ECMWF model with observations from CALIPSO, Mon. Weather Rev., 138, 3071–3083, https://doi.org/10.1175/2010MWR3320.1, 2010.
Allen, D. J. and Pickering, K. E.: Evaluation of lightning flash rate parametrizations for use in a global chemical transport model, J. Geophys. Res., 107, 4711, https://doi.org/10.1029/2002JD002066, 2002.
Barthe, C. and Pinty, J.-P.: Simulation of electrified storms with comparison of the charge structure and lightning efficiency, J. Geophys. Res., 112, D19204, https://doi.org/10.1029/2006JD008241, 2007.
Barthe, C., Deierling, W., and Barth, M. C.: Estimation of total lightning from various storm parameters: A cloud-resolving model study, J. Geophys. Res., 115, D24202, https://doi.org/10.1029/2010JD014405, 2010.
Beirle, S., Koshak, W., Blakeslee, R., and Wagner, T.: Global patterns of lightning properties derived by OTD and LIS, Nat. Hazards Earth Syst. Sci. Discuss., 2, 2765–2787, https://doi.org/10.5194/nhessd-2-2765-2014, 2014.
Download
Short summary
Lightning is important in atmospheric chemistry models as a source of nitrogen oxides which affect the greenhouse gases ozone and methane. We present a new approach to modelling lightning using the upward movement of ice in clouds, an essential part of the charging mechanism in thunderstorms. The new approach performs well compared to those already in use and provides a novel, physically based scheme that has the potential to improve the robustness of simulated flash rates and emissions.
Share
Altmetrics
Final-revised paper
Preprint