Articles | Volume 23, issue 3
https://doi.org/10.5194/acp-23-1987-2023
© Author(s) 2023. 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-23-1987-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
08 Feb 2023
Research article |
| 08 Feb 2023
| 08 Feb 2023
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
CORRESPONDING AUTHOR
Institute of Meteorology and Climate Research, Department Troposphere Research (IMK-TRO), Karlsruhe Institute of Technology, Karlsruhe, Germany
Andrew Barrett
Institute of Meteorology and Climate Research, Department Troposphere Research (IMK-TRO), Karlsruhe Institute of Technology, Karlsruhe, Germany
Institute of Meteorology and Climate Research, Department Troposphere Research (IMK-TRO), Karlsruhe Institute of Technology, Karlsruhe, Germany
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EGUsphere, https://doi.org/10.5194/egusphere-2025-6129, https://doi.org/10.5194/egusphere-2025-6129, 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 Atlantic. This process can create spurious ice particles in clouds, thereby increasing latent and radiative heating that strengthens storms and extends cloud lifetimes. These results improve our understanding of how small-scale ice processes influence large-scale storm behavior and rainfall patterns.
Fatemeh Zarei, Julia Bruckert, Gholam Ali Hoshyaripour, and Corinna Hoose
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Volcanic eruptions are a rich source of aerosol particles, such as sulfate and ash, that can impact cloud droplet and ice crystal formation. They lead to strong local perturbations of clouds. In this study, these processes were simulated with a numerical model. In two contrasting case studies of an Icelandic and a Caribbean volcano, the perturbations to processes involving liquid droplets and ice crystals are investigated.
Sebastian Vergara-Palacio, Alexei Kiselev, Franziska Vogel, Adolfo González-Romero, Romy Fösig, Xavier Querol, Corinna Hoose, Ottmar Möhler, Konrad Kandler, Carlos Pérez García-Pando, and Martina Klose
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Atmospheric mineral dust can help clouds form ice, changing cloud properties and affecting weather and climate. We tested dust from Morocco and Iceland in more than 300 controlled laboratory experiments. Icelandic samples were up to 100 times less able to promote ice formation than Moroccan samples, and showed mineral-composition dependence. The results show the role of larger dust particles in ice nucleation and their relationship with mineralogy and size for low- and high-latitude sources.
Lina Lucas, Christian Barthlott, Corinna Hoose, and Peter Knippertz
Atmos. Chem. Phys., 25, 18527–18548, https://doi.org/10.5194/acp-25-18527-2025, https://doi.org/10.5194/acp-25-18527-2025, 2025
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Lisa Janina Muth, Sascha Bierbauer, Corinna Hoose, Bernhard Vogel, Heike Vogel, and Gholam Ali Hoshyaripour
Atmos. Chem. Phys., 25, 16027–16040, https://doi.org/10.5194/acp-25-16027-2025, https://doi.org/10.5194/acp-25-16027-2025, 2025
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Christian Barthlott, Beata Czajka, Christoph Gebhardt, and Corinna Hoose
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This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
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Gabriella Wallentin, Luisa Ickes, Peggy Achtert, Matthias Tesche, and Corinna Hoose
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Multilayer clouds are cloud systems with two or more vertically stacked cloud layers. Using a weather prediction model, we simulate clouds in the Arctic during a month. The model is evaluated against observations collected during the ship campaign MOSAiC. We find that multilayer clouds frequently occur in the region, in fact, they dominate the cloud occurrence. The study highlights the importance of representing these clouds in simulations over the Arctic.
Lisa Janina Muth, Gholam Ali Hoshyaripour, Bernhard Vogel, Heike Vogel, and Corinna Hoose
EGUsphere, https://doi.org/10.5194/egusphere-2025-4853, https://doi.org/10.5194/egusphere-2025-4853, 2025
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Wildfire plume injection height is key for atmospheric impact but hard to model. This study simulates the 2019/2020 Australian wildfires, testing fire-atmosphere feedbacks. Heat release increases plume rise; moisture has minor effects. Aerosol-radiation interaction lowers injection height initially, then lofts it. Only the combined simulation matches observed upper troposphere aerosol layers, especially during peak fire intensity.
Gholam Ali Hoshyaripour, Andreas Baer, Sascha Bierbauer, Julia Bruckert, Dominik Brunner, Jochen Foerstner, Arash Hamzehloo, Valentin Hanft, Corina Keller, Martina Klose, Pankaj Kumar, Patrick Ludwig, Enrico Metzner, Lisa Muth, Andreas Pauling, Nikolas Porz, Thomas Reddmann, Luca Reißig, Roland Ruhnke, Khompat Satitkovitchai, Axel Seifert, Miriam Sinnhuber, Michael Steiner, Stefan Versick, Heike Vogel, Michael Weimer, Sven Werchner, and Corinna Hoose
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Peggy Achtert, Torsten Seelig, Gabriella Wallentin, Luisa Ickes, Matthew D. Shupe, Corinna Hoose, and Matthias Tesche
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We quantify the occurrence of single- and multi-layer clouds in the Arctic based on combining soundings with cloud-radar observations. We also assess the rate of ice-crystal seeding in multi-layer cloud systems as this is an important initiator of glaciation in super-cooled liquid cloud layers. We find an abundance of multi-layer clouds in the Arctic with seeding in about half to two thirds of cases in which the gap between upper and lower layers ranges between 100 and 1000 m.
Gabriella Wallentin, Annika Oertel, Luisa Ickes, Peggy Achtert, Matthias Tesche, and Corinna Hoose
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Multilayer clouds are common in the Arctic but remain underrepresented. We use an atmospheric model to simulate multilayer cloud cases from the Arctic expedition MOSAiC 2019/2020. We find that it is complex to accurately model these cloud layers due to the lack of correct temperature profiles. The model also struggles to capture the observed cloud phase and the relative concentration of cloud droplets and cloud ice. We constrain our model to measured aerosols to mitigate this issue.
Barbara Dietel, Odran Sourdeval, and Corinna Hoose
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A narrow rainfall belt in the tropics is an important feature for large-scale circulations and the global water cycle. The accurate simulation of this rainfall feature has been a long-standing problem, with the reasons behind that unclear. We present a novel diagnostic tool that allows us to disentangle processes important for rainfall, which changes due to modifications in model. Using our diagnostic tool, one can potentially identify sources of uncertainty in weather and climate models.
Cunbo Han, Corinna Hoose, Martin Stengel, Quentin Coopman, and Andrew Barrett
Atmos. Chem. Phys., 23, 14077–14095, https://doi.org/10.5194/acp-23-14077-2023, https://doi.org/10.5194/acp-23-14077-2023, 2023
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Cloud phase has been found to significantly impact cloud thermodynamics and Earth’s radiation budget, and various factors influence it. This study investigates the sensitivity of the cloud-phase distribution to the ice-nucleating particle concentration and thermodynamics. Multiple simulation experiments were performed using the ICON model at the convection-permitting resolution of 1.2 km. Simulation results were compared to two different retrieval products based on SEVIRI measurements.
Annika Oertel, Annette K. Miltenberger, Christian M. Grams, and Corinna Hoose
Atmos. Chem. Phys., 23, 8553–8581, https://doi.org/10.5194/acp-23-8553-2023, https://doi.org/10.5194/acp-23-8553-2023, 2023
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Warm conveyor belts (WCBs) are cloud- and precipitation-producing airstreams in extratropical cyclones that are important for the large-scale flow and cloud radiative forcing. We analyze cloud formation processes during WCB ascent in a two-moment microphysics scheme. Quantification of individual diabatic heating rates shows the importance of condensation, vapor deposition, rain evaporation, melting, and cloud-top radiative cooling for total heating and WCB-related potential vorticity structure.
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Forecasting extratropical cyclones is challenging due to many physical factors influencing their behavior. One such factor is the impact of heating and cooling of the atmosphere by the interaction between clouds and radiation. In this study, we show that cloud-radiative heating (CRH) increases the intensity of an idealized cyclone and affects its predictability. We find that CRH affects the cyclone mostly via increasing latent heat release and subsequent changes in the synoptic circulation.
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Atmos. Chem. Phys., 22, 3535–3552, https://doi.org/10.5194/acp-22-3535-2022, https://doi.org/10.5194/acp-22-3535-2022, 2022
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Volcanic emissions endanger aviation and public health and also influence weather and climate. Forecasting the volcanic-plume dispersion is therefore a critical yet sophisticated task. Here, we show that explicit treatment of volcanic-plume dynamics and eruption source parameters significantly improves volcanic-plume dispersion forecasts. We further demonstrate the lofting of the SO2 due to a heating of volcanic particles by sunlight with major implications for volcanic aerosol research.
Cited articles
Alizadeh-Choobari, O.: Impact of aerosol number concentration on precipitation under different precipitation rates, Meteorol. Appl., 25, 596–605, https://doi.org/10.1002/met.1724, 2018. a, b
Alizadeh-Choobari, O. and Gharaylou, M.: Aerosol impacts on radiative and microphysical properties of clouds and precipitation formation, Atmos. Res., 185, 53–64, https://doi.org/10.1016/j.atmosres.2016.10.021, 2017. a
Allen, R. and Ingram, W.: Constraints on future changes in climate and the hydrologic cycle, Nature, 419, 224–232, https://doi.org/10.1038/nature01092, 2002. a
Bechtold, P., Köhler, M., Jung, T., Doblas-Reyes, F., Leutbecher, M., Rodwell, M. J., Vitart, F., and Balsamo, G.: Advances in simulating atmospheric variability with the ECMWF model: From synoptic to decadal time-scales, Q. J. Roy. Meteor. Soc., 134, 1337–1351, https://doi.org/10.1002/qj.289, 2008. a
Browning, K., Pardoe, C., and Hill, F.: The nature of orographic rain at wintertime cold fronts, Q. J. Roy. Meteor. Soc., 101, 333–352, https://doi.org/10.1002/qj.49710142815, 1975. a, b, c
Dipankar, A., Stevens, B., Heinze, R., Moseley, C., Zängl, G., Giorgetta, M., and Brdar, S.: Large eddy simulation using the general circulation model ICON, J. Adv. Model. Earth Sy., 7, 963–986, https://doi.org/10.1002/2015MS000431, 2015. a
Douglas, C. K. M. and Glasspoole, J.: Meteorological conditions in heavy
orographic rainfall in the British isles, Q. J. Roy. Meteor. Soc., 73, 11–42, https://doi.org/10.1002/qj.49707331503, 1947. a
Garvert, M. F., Smull, B., and Mass, C.: Multiscale Mountain Waves Influencing a Major Orographic Precipitation Event, J. Atmos. Sci., 64, 711–737, https://doi.org/10.1175/jas3876.1, 2007. a
Grabowski, W. W.: Extracting microphysical impacts in large-eddy simulations of shallow convection, J. Atmos. Sci., 71, 4493–4499, https://doi.org/10.1175/JAS-D-14-0231.1, 2014. a, b
Hande, L. B., Engler, C., Hoose, C., and Tegen, I.: Parameterizing cloud condensation nuclei concentrations during HOPE, Atmos. Chem. Phys., 16, 12059–12079, https://doi.org/10.5194/acp-16-12059-2016, 2016. a, b
Heinze, R., Dipankar, A., Henken, C. C., Moseley, C., Sourdeval, O., Trömel, S., Xie, X., Adamidis, P., Ament, F., Baars, H., Barthlott, C., Behrendt, A., Blahak, U., Bley, S., Brdar, S., Brueck, M., Crewell, S., Deneke, H., Di Girolamo, P., Evaristo, R., Fischer, J., Frank, C., Friederichs, P., Göcke, T., Gorges, K., Hande, L., Hanke, M., Hansen, A., Hege, H., Hoose, C., Jahns, T., Kalthoff, N., Klocke, D., Kneifel, S., Knippertz, P., Kuhn, A., van Laar, T., Macke, A., Maurer, V., Mayer, B., Meyer, C. I., Muppa, S. K., Neggers, R. A. J., Orlandi, E., Pantillon, F., Pospichal, B., Röber, N., Scheck, L., Seifert, A., Seifert, P., Senf, F., Siligam, P., Simmer, C., Steinke, S., Stevens, B., Wapler, K., Weniger, M., Wulfmeyer, V., Zängl, G., Zhang, D., and Quaas, J.: Large‐eddy simulations over Germany using ICON: a comprehensive evaluation, Q. J. Roy. Meteor. Soc., 143, 69–100, https://doi.org/10.1002/qj.2947, 2017. a
Held, I. M. and Soden, B. J.: Robust Responses of the Hydrological Cycle to
Global Warming, J. Climate, 19, 5686–5699, https://doi.org/10.1175/JCLI3990.1, 2006. a, b
Houze Jr., R. A. J.: Orographic effects on precipitating clouds, Rev. Geophys., 50, RG1001, https://doi.org/10.1029/2011RG000365, 2012. a
Khain, A. P.: Notes on state-of-the-art investigations of aerosol effects on precipitation: A critical review, Environ. Res. Lett., 4, 015004, https://doi.org/10.1088/1748-9326/4/1/015004, 2009. a
Kunz, M. and Kottmeier, C.: Orographic enhancement of precipitation over low mountain ranges. Part I: Model Formulation and Idealized Simulations, J. Appl. Meteorol. Clim., 45, 1025–1040, https://doi.org/10.1175/JAM2389.1, 2006a. a, b, c
Kunz, M. and Kottmeier, C.: Orographic enhancement of precipitation over low mountain ranges. Part II: simulations of heavy precipitation events over Southwest Germany, J. Appl. Meteorol. Clim., 45, 1041–1055, https://doi.org/10.1175/JAM2390.1, 2006b. a, b
Lavers, D. A. and Villarini, G.: The contribution of atmospheric rivers to precipitation in Europe and the United States, J. Hydrol., 522, 382–390, https://doi.org/10.1016/j.jhydrol.2014.12.010, 2015. a
Lavers, D. A., Pappenberger, F., Richardson, D. S., and Zsoter, E.: ECMWF Extreme Forecast Index for water vapor transport: A forecast tool for atmospheric rivers and extreme precipitation, Geophys. Res. Lett., 43, 11852–11858, https://doi.org/10.1002/2016gl071320, 2016. a
Matthews, T., Murphy, C., McCarthy, G., Broderick, C., and Wilby, R. L.: Super Storm Desmond: a process-based assessment, Environ. Res. Lett., 13, 014024, https://doi.org/10.1088/1748-9326/aa98c8, 2018. a, b
Mlawer, E. J., Taubman, S. J., Brown, P. D., Iacono, M. J., and Clough, S. A.: Radiative transfer for inhomogeneous atmospheres: RRTM, a validated correlated-k model for the longwave, J. Geophys. Res.-Atmos., 102, 16663–16682, https://doi.org/10.1029/97jd00237, 1997. a
O'Gorman, P. A.: Precipitation extremes under climate change, Current Climate Change Reports, 1, 49–59, https://doi.org/10.1007/s40641-015-0009-3, 2015. a
Payne, A. E., Demory, M. E., Leung, L. R., Ramos, A. M., Shields, C. A., Rutz, J. J. Siler, N., Villarini, G., Hall, A., and Ralph, F. M.: Responses and impacts of atmospheric rivers to climate change, Nature Reviews Earth & Environment, 1, 143–157, https://doi.org/10.1038/s43017-020-0030-5, 2020. a
Pfahl, S., O'Gorman, P. A., and Fischer, E. M.: Understanding the regional pattern of projected future changes in extreme precipitation, Nat. Clim. Change, 7, 423–427, https://doi.org/10.1038/nclimate3287, 2017. a
Pörtner, H.-O., Roberts, D., Tignor, M., Poloczanska, E., Mintenbeck, K., Alegría, A., Craig, M., Langsdorf, S., Löschke, S., Möller, V., Okem, A., and Rama, B.: Climate Change 2022: Impacts, Adaptation and Vulnerability. Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press, Cambridge, UK and New York, NY, USA, 2022. a, b
Poujol, B., Mooney, P. A., and Sobolowski, S. P.: Physical processes driving intensification of future precipitation in the mid- to high latitudes, Environ. Res. Lett., 16, 034051, https://doi.org/10.1088/1748-9326/abdd5b, 2021.
a, b
Prill, F., Reinert, D., Rieger, D., and Zängl, G.: ICON Tutorial – Working with the ICON Model, Deutscher Wetterdienst, Offenbach,
Tech. rep., https://doi.org/10.5676/DWD_pub/nwv/icon_tutorial2022, 2022. a
Reinert, D., Prill, F., Frank, H., Denhard, M., Baldauf, M., Schraff, C., Gebhardt, C., Marsigli, C., and Zängl, G.: DWD Database Reference for the Global and Regional ICON and ICON-EPS Forecasting System, Version 2.2.0, Deutscher Wetterdienst, Tech. rep., https://www.dwd.de/DWD/forschung/nwv/fepub/icon_database_main.pdf (last
access: 9 January 2023), 2022. a
Seifert, A. and Beheng, K.: A two-moment cloud microphysics parameterization for mixed-phase clouds. Part 1: Model description, Meteorol. Atmos. Phys., 92, 45–66, https://doi.org/10.1007/s00703-005-0112-4, 2006. a, b
Shi, X. and Durran, D. R.: The Response of Orographic Precipitation over Idealized Midlatitude Mountains Due to Global Increases in CO2, J. Climate, 27, 3938–3956, https://doi.org/10.1175/JCLI-D-13-00460.1, 2014. a
Smith, R. B. and Evans, J. P.: Orographic Precipitation and Water Vapor Fractionation over the Southern Andes, J. Hydrometeorol., 8, 3–19, https://doi.org/10.1175/jhm555.1, 2007. a
Smith, S. A., Vosper, S. B., and Field, P. R.: Sensitivity of orographic precipitation enhancement to horizontal resolution in the operational Met Office Weather forecasts, Meteorol. Appl., 22, 14–24, https://doi.org/10.1002/met.1352, 2015. a
Stow, D., Bradley, S., and Gray, W.: A preliminary investigation of orographic rainfall enhancement over low hills near Auckland New Zealand, J. Meteorol. Soc. Jpn., 69, 489–495, https://doi.org/10.2151/jmsj1965.69.4_489, 1991. a
Thomas, J., Barrett, A. I., and Hoose, C.: Research data for “Temperature and CCN sensitivity of orographic precipitation enhanced by a mixed-phase seeder-feeder mechanism: a case study for the 2015 Cumbria flood”, KITopen [data set], https://doi.org/10.5445/IR/1000154410, 2023. a
Thompson, G. and Eidhammer, T.: A study of aerosol impacts on clouds and precipitation development in a large winter cyclone, J. Atmos. Sci., 71, 3636–3658, https://doi.org/10.1175/JAS-D-13-0305.1, 2014. a
Zängl, G., Reinert, D., Rípodas, P., and Baldauf, M.: The ICON (ICOsahedral Non-hydrostatic) modelling framework of DWD and MPI-M: Description of the non-hydrostatic dynamical core, Q. J. Roy. Meteor. Soc., 141, 563–579, https://doi.org/10.1002/qj.2378, 2015. a, b
Short summary
We study the sensitivity of rain formation processes during a heavy-rainfall event over mountains to changes in temperature and pollution. Total rainfall increases by 2 % K−1, and a 6 % K−1 increase is found at the highest altitudes, caused by a mixed-phase seeder–feeder mechanism (frozen cloud particles melt and grow further as they fall through a liquid cloud layer). In a cleaner atmosphere this process is enhanced. Thus the risk of severe rainfall in mountains may increase in the future.
We study the sensitivity of rain formation processes during a heavy-rainfall event over...
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