Articles | Volume 21, issue 9
https://doi.org/10.5194/acp-21-7271-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-21-7271-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Is a more physical representation of aerosol activation needed for simulations of fog?
School of Earth and Environment, University of Leeds, Leeds, UK
now at: Wolfson Atmospheric Chemistry Laboratories, University of York, York, UK
Andrew N. Ross
School of Earth and Environment, University of Leeds, Leeds, UK
Adrian A. Hill
Met Office, Exeter, UK
Alan M. Blyth
School of Earth and Environment, University of Leeds, Leeds, UK
National Centre of Atmospheric Sciences, University of Leeds, Leeds, UK
Ben Shipway
Met Office, Exeter, UK
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Caitlyn A. Hall, Sam Illingworth, Solmaz Mohadjer, Mathew Koll Roxy, Craig Poku, Frederick Otu-Larbi, Darryl Reano, Mara Freilich, Maria-Luisa Veisaga, Miguel Valencia, and Joey Morales
Geosci. Commun., 5, 275–280, https://doi.org/10.5194/gc-5-275-2022, https://doi.org/10.5194/gc-5-275-2022, 2022
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Deepak Waman, Julian Meusel, Behrooz Keshtgar, Gabriella Wallentin, Christian Barthlott, Sachin Patade, Sonali Shete, Thara Prabhakaran, Romain Fievet, Declan Finney, Alan Blyth, and Corinna Hoose
Atmos. Chem. Phys., 26, 11371–11407, https://doi.org/10.5194/acp-26-11371-2026, https://doi.org/10.5194/acp-26-11371-2026, 2026
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We use a weather model with aircraft and satellite data to study ice multiplication in thunderstorms across India, Mexico, Oklahoma, and the tropical Atlantic. This process can create spurious ice particles in clouds, thereby increasing latent and radiative heating that strengthens stratiform ascents in storms and extends anvil-cloud lifetimes. These results improve our understanding of how small-scale ice processes influence large-scale storm behavior and rainfall patterns.
Ezri E. Alkilani-Brown, Declan L. Finney, Alan M. Blyth, Paul R. Field, Jonathan Crosier, and Chetan R. Deva
EGUsphere, https://doi.org/10.5194/egusphere-2026-3385, https://doi.org/10.5194/egusphere-2026-3385, 2026
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Graupel continues to be one of the most poorly characterised ice particles in deep convective clouds. In situ images are critical for understanding its microphysical development. Consequently, a plethora of independent classification schemes has become commonplace. Here, an independent evaluation of several open-source algorithms was undertaken to assess if they are generalisable. Classifications were then applied to the entire DCMEX campaign, to infer graupel concentrations.
Bowen Z. Portman, Paul J. Connolly, Alan M. Blyth, Rachel L. James, and Huihui Wu
Atmos. Chem. Phys., 26, 8367–8385, https://doi.org/10.5194/acp-26-8367-2026, https://doi.org/10.5194/acp-26-8367-2026, 2026
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Secondary ice production (SIP) is key to explaining the high ice particle concentrations observed in deep convective clouds. We investigate secondary ice production in summer convective clouds over New Mexico, and our results show that collisions between supercooled water droplets and more massive ice particles are the dominant SIP mechanism in these clouds. We also find that the entrainment of external aerosols leads to earlier ice enhancement under homogeneous mixing.
Anya M. Schlich-Davies, Ann V. Rowan, Andrew N. Ross, Duncan J. Quincey, and Vivi K. Pedersen
The Cryosphere, 20, 3151–3186, https://doi.org/10.5194/tc-20-3151-2026, https://doi.org/10.5194/tc-20-3151-2026, 2026
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Glaciers in the Himalaya are shrinking in response to climate change. We use a glacier model to explore how future changes in precipitation distribution will drive the evolution of Khumbu Glacier in Nepal until 2100 CE. We find that, when compared to the impacts of climate warming alone, the combined effect of warming and the resulting increase in precipitation (rain and snowfall) could offset up to half of the glacier loss expected by the end of this Century.
William J. Dow, Amanda C. Maycock, Andrew N. Ross, Ryan S. Williams, and Thomas J. Bracegirdle
EGUsphere, https://doi.org/10.5194/egusphere-2026-1179, https://doi.org/10.5194/egusphere-2026-1179, 2026
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This study aims to advance understanding of the atmospheric drivers of extreme warm days across the Antarctic Peninsula during summer. We find that these days are linked to a range of large-scale atmospheric circulation patterns. Using a statistical method, we grouped similar events and compared their wind, temperature and pressure features, showing clear differences spatially and temporally. Understanding these dynamics improves understanding of the processes that drive these extreme events.
Mengyu Sun, Paul J. Connolly, Paul R. Field, Declan L. Finney, and Alan M. Blyth
Atmos. Chem. Phys., 25, 18549–18569, https://doi.org/10.5194/acp-25-18549-2025, https://doi.org/10.5194/acp-25-18549-2025, 2025
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We investigated how extra ice particles form inside tropical storm clouds and how they affect rainfall and sunlight reflection. By using a weather model, we found that these extra ice particles can change how clouds grow, reduce heat escaping to space, and slightly shift where rain falls. This helps improve how weather and climate models predict tropical storms.
Huihui Wu, Nicholas Marsden, Paul Connolly, Michael Flynn, Paul I. Williams, Declan Finney, Kezhen Hu, Graeme J. Nott, Navaneeth M. Thamban, Keith Bower, Alan Blyth, Martin Gallagher, and Hugh Coe
Atmos. Chem. Phys., 25, 18409–18429, https://doi.org/10.5194/acp-25-18409-2025, https://doi.org/10.5194/acp-25-18409-2025, 2025
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Airborne observations over the Magdalena Mountains in New Mexico underscore the combined influence of meteorological conditions and aerosol characteristics on the development of deep-convective clouds under different flow regimes. Model-observation comparisons emphasize the critical role of aerosol entrainment in reproducing the observed broad cloud droplet spectra. This study provides valuable constraints for improving parameterizations of aerosol-cloud interactions in deep convective systems.
Mengyu Sun, Paul J. Connolly, Paul R. Field, Declan L. Finney, and Alan M. Blyth
EGUsphere, https://doi.org/10.5194/egusphere-2025-5665, https://doi.org/10.5194/egusphere-2025-5665, 2025
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We use a high resolution weather model together with satellite and radar data to study how small particles in the air influence ice and rain in a tropical storm near Darwin. We find that when particle levels are moderate, storm clouds form more ice high in the atmosphere, spread a wider cloud cover, and produce stronger rainfall concentrated in certain regions. These results help improve how weather and climate models represent tropical storms and their rainfall.
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
Atmos. Chem. Phys., 25, 10907–10929, https://doi.org/10.5194/acp-25-10907-2025, https://doi.org/10.5194/acp-25-10907-2025, 2025
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We present observation-informed modelling from the Deep Convective Microphysics Experiment (DCMEX) to study how environmental conditions and cloud processes affect anvil cloud albedo and radiation. Aerosols influencing cloud droplets or influencing ice formation yield varying radiative effects. We introduce fingerprint metrics to discern these effects. Using detailed observations and modelling, we offer insights into high-cloud radiative effects and feedbacks.
Gary Lloyd, Alan Blyth, Zhiqiang Cui, Thomas Choularton, Keith Bower, Martin Gallagher, Michael Flynn, Nicholas Marsden, Leif Denby, and Peter Gallimore
EGUsphere, https://doi.org/10.5194/egusphere-2024-142, https://doi.org/10.5194/egusphere-2024-142, 2024
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Clouds that develop in the tropical trade-wind regions are extensive and persistent in nature. They are important for understanding how the magnitude of warming by these cloud systems might change in a warming climate. This paper describes measurements of common cloud types in these regions (shallow cumulus clouds) and the way in which they produce rainfall. During different periods, with different amounts of particulate in the air, the characteristics of the clouds were very different.
Denis E. Sergeev, Nathan J. Mayne, Thomas Bendall, Ian A. Boutle, Alex Brown, Iva Kavčič, James Kent, Krisztian Kohary, James Manners, Thomas Melvin, Enrico Olivier, Lokesh K. Ragta, Ben Shipway, Jon Wakelin, Nigel Wood, and Mohamed Zerroukat
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Three-dimensional climate models are one of the best tools we have to study planetary atmospheres. Here, we apply LFRic-Atmosphere, a new model developed by the Met Office, to seven different scenarios for terrestrial planetary climates, including four for the exoplanet TRAPPIST-1e, a primary target for future observations. LFRic-Atmosphere reproduces these scenarios within the spread of the existing models across a range of key climatic variables, justifying its use in future exoplanet studies.
Zhiqiang Cui, Alan Blyth, Ralph Burton, Sandrine Bony, Steven Böing, Alan Gadian, and Leif Denby
EGUsphere, https://doi.org/10.5194/egusphere-2023-1999, https://doi.org/10.5194/egusphere-2023-1999, 2023
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Cumulus clouds near Barbados can influence how much heat and energy reaches the Earth's surface. A cluster of clouds resembling a flower is presented. Satellite images, dropsonde data, and weather data are used to understand how this cloud system developed. A significant feature was the appearance of a large area of rain at the centre of the cloud system during its later stages. The paper also studied the environmental conditions around the cloud system.
William Stanley Torgerson, Juliane Schwendike, Andrew Ross, and Chris Short
EGUsphere, https://doi.org/10.5194/egusphere-2023-1272, https://doi.org/10.5194/egusphere-2023-1272, 2023
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Two types of fluctuations were studied in Hurricane Irma (2017) using model simulations. The first type of fluctuation, the eyewall replacement cycle, has a Hurricane’s eyewall replaced by a second outer eyewall that develops further out. The other type of fluctuation has no replacement of the eyewall but a disruption to its structure instead.
William Torgerson, Juliane Schwendike, Andrew Ross, and Chris J. Short
Weather Clim. Dynam., 4, 331–359, https://doi.org/10.5194/wcd-4-331-2023, https://doi.org/10.5194/wcd-4-331-2023, 2023
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We investigated intensity fluctuations that occurred during the rapid intensification of Hurricane Irma (2017) to understand their effects on the storm structure. Using high-resolution model simulations, we found that the fluctuations were caused by local regions of strong ascent just outside the eyewall that disrupted the storm, leading to a larger and more symmetrical storm eye. This alters the location and intensity of the strongest winds in the storm and hence the storm's impact.
Caitlyn A. Hall, Sam Illingworth, Solmaz Mohadjer, Mathew Koll Roxy, Craig Poku, Frederick Otu-Larbi, Darryl Reano, Mara Freilich, Maria-Luisa Veisaga, Miguel Valencia, and Joey Morales
Geosci. Commun., 5, 275–280, https://doi.org/10.5194/gc-5-275-2022, https://doi.org/10.5194/gc-5-275-2022, 2022
Short summary
Short summary
In this manifesto, we offer six points of reflection that higher education geoscience educators can act upon to recognise and unlearn their biases and diversify the geosciences in higher education, complementing current calls for institutional and organisational change. This serves as a starting point to gather momentum to establish community-built opportunities for implementing and strengthening diversity, equity, inclusion, and justice holistically in geoscience education.
Anthony C. Jones, Adrian Hill, John Hemmings, Pascal Lemaitre, Arnaud Quérel, Claire L. Ryder, and Stephanie Woodward
Atmos. Chem. Phys., 22, 11381–11407, https://doi.org/10.5194/acp-22-11381-2022, https://doi.org/10.5194/acp-22-11381-2022, 2022
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As raindrops fall to the ground, they capture aerosol (i.e. below-cloud scavenging or BCS). Many different BCS schemes are available to climate models, and it is unclear what the impact of selecting one scheme over another is. Here, various BCS models are outlined and then applied to mineral dust in climate model simulations. We find that dust concentrations are highly sensitive to the BCS scheme, with dust atmospheric lifetimes ranging from 5 to 44 d.
Zhiqiang Cui, Alan Blyth, Yahui Huang, Gary Lloyd, Thomas Choularton, Keith Bower, Paul Field, Rachel Hawker, and Lindsay Bennett
Atmos. Chem. Phys., 22, 1649–1667, https://doi.org/10.5194/acp-22-1649-2022, https://doi.org/10.5194/acp-22-1649-2022, 2022
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High concentrations of ice particles were observed at temperatures greater than about –8 C. The default scheme of the secondary ice production cannot explain the high concentrations. Relaxing the conditions for secondary ice production or considering dust aerosol alone is insufficient to produce the observed amount of ice particles. It is likely that multi-thermals play an important role in producing very high concentrations of secondary ice particles in some tropical clouds.
Ian Boutle, Wayne Angevine, Jian-Wen Bao, Thierry Bergot, Ritthik Bhattacharya, Andreas Bott, Leo Ducongé, Richard Forbes, Tobias Goecke, Evelyn Grell, Adrian Hill, Adele L. Igel, Innocent Kudzotsa, Christine Lac, Bjorn Maronga, Sami Romakkaniemi, Juerg Schmidli, Johannes Schwenkel, Gert-Jan Steeneveld, and Benoît Vié
Atmos. Chem. Phys., 22, 319–333, https://doi.org/10.5194/acp-22-319-2022, https://doi.org/10.5194/acp-22-319-2022, 2022
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Fog forecasting is one of the biggest problems for numerical weather prediction. By comparing many models used for fog forecasting with others used for fog research, we hoped to help guide forecast improvements. We show some key processes that, if improved, will help improve fog forecasting, such as how water is deposited on the ground. We also showed that research models were not themselves a suitable baseline for comparison, and we discuss what future observations are required to improve them.
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., 21, 17315–17343, https://doi.org/10.5194/acp-21-17315-2021, https://doi.org/10.5194/acp-21-17315-2021, 2021
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We find that ice-nucleating particles (INPs), aerosols that can initiate the freezing of cloud droplets, cause substantial changes to the properties of radiatively important convectively generated anvil cirrus. The number concentration of INPs had a large effect on ice crystal number concentration while the INP temperature dependence controlled ice crystal size and cloud fraction. The results indicate information on INP number and source is necessary for the representation of cloud glaciation.
Anthony C. Jones, Adrian Hill, Samuel Remy, N. Luke Abraham, Mohit Dalvi, Catherine Hardacre, Alan J. Hewitt, Ben Johnson, Jane P. Mulcahy, and Steven T. Turnock
Atmos. Chem. Phys., 21, 15901–15927, https://doi.org/10.5194/acp-21-15901-2021, https://doi.org/10.5194/acp-21-15901-2021, 2021
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Ammonium nitrate is hard to model because it forms and evaporates rapidly. One approach is to relate its equilibrium concentration to temperature, humidity, and the amount of nitric acid and ammonia gases. Using this approach, we limit the rate at which equilibrium is reached using various condensation rates in a climate model. We show that ammonium nitrate concentrations are highly sensitive to the condensation rate. Our results will help improve the representation of nitrate in climate models.
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Short summary
We present a new aerosol activation scheme suitable for modelling both fog and convective clouds. Most current activation schemes are designed for convective clouds, and we demonstrate that using them to model fog can negatively impact its life cycle. Our scheme has been used to model an observed fog case in the UK, where we demonstrate that a more physically based representation of aerosol activation is required to capture the transition to a deeper layer – more in line with observations.
We present a new aerosol activation scheme suitable for modelling both fog and convective...
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