Articles | Volume 2, issue 4
https://doi.org/10.5194/wcd-2-1225-2021
https://doi.org/10.5194/wcd-2-1225-2021
Research article
 | 
16 Dec 2021
Research article |  | 16 Dec 2021

A characterisation of Alpine mesocyclone occurrence

Monika Feldmann, Urs Germann, Marco Gabella, and Alexis Berne

Related authors

Biological and dust aerosols as sources of ice-nucleating particles in the eastern Mediterranean: source apportionment, atmospheric processing and parameterization
Kunfeng Gao, Franziska Vogel, Romanos Foskinis, Stergios Vratolis, Maria I. Gini, Konstantinos Granakis, Anne-Claire Billault-Roux, Paraskevi Georgakaki, Olga Zografou, Prodromos Fetfatzis, Alexis Berne, Alexandros Papayannis, Konstantinos Eleftheridadis, Ottmar Möhler, and Athanasios Nenes
Atmos. Chem. Phys., 24, 9939–9974, https://doi.org/10.5194/acp-24-9939-2024,https://doi.org/10.5194/acp-24-9939-2024, 2024
Short summary
Verification of weather-radar-based hail metrics with crowdsourced observations from Switzerland
Jérôme Kopp, Alessandro Hering, Urs Germann, and Olivia Martius
Atmos. Meas. Tech., 17, 4529–4552, https://doi.org/10.5194/amt-17-4529-2024,https://doi.org/10.5194/amt-17-4529-2024, 2024
Short summary
A quest for precipitation attractors in weather radar archives
Loris Foresti, Bernat Puigdomènech Treserras, Daniele Nerini, Aitor Atencia, Marco Gabella, Ioannis V. Sideris, Urs Germann, and Isztar Zawadzki
Nonlin. Processes Geophys., 31, 259–286, https://doi.org/10.5194/npg-31-259-2024,https://doi.org/10.5194/npg-31-259-2024, 2024
Short summary
Drone-based photogrammetry combined with deep learning to estimate hail size distributions and melting of hail on the ground
Martin Lainer, Killian P. Brennan, Alessandro Hering, Jérôme Kopp, Samuel Monhart, Daniel Wolfensberger, and Urs Germann
Atmos. Meas. Tech., 17, 2539–2557, https://doi.org/10.5194/amt-17-2539-2024,https://doi.org/10.5194/amt-17-2539-2024, 2024
Short summary
Double moment normalization of hail size number distributions over Switzerland
Alfonso Ferrone, Jérôme Kopp, Martin Lainer, Marco Gabella, Urs Germann, and Alexis Berne
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2024-2,https://doi.org/10.5194/amt-2024-2, 2024
Revised manuscript accepted for AMT
Short summary

Related subject area

Other aspects of weather and climate dynamics
ClimaMeter: contextualizing extreme weather in a changing climate
Davide Faranda, Gabriele Messori, Erika Coppola, Tommaso Alberti, Mathieu Vrac, Flavio Pons, Pascal Yiou, Marion Saint Lu, Andreia N. S. Hisi, Patrick Brockmann, Stavros Dafis, Gianmarco Mengaldo, and Robert Vautard
Weather Clim. Dynam., 5, 959–983, https://doi.org/10.5194/wcd-5-959-2024,https://doi.org/10.5194/wcd-5-959-2024, 2024
Short summary
Large-ensemble assessment of the Arctic stratospheric polar vortex morphology and disruptions
Ales Kuchar, Maurice Öhlert, Roland Eichinger, and Christoph Jacobi
Weather Clim. Dynam., 5, 895–912, https://doi.org/10.5194/wcd-5-895-2024,https://doi.org/10.5194/wcd-5-895-2024, 2024
Short summary
Elevation-dependent warming: observations, models, and energetic mechanisms
Michael P. Byrne, William R. Boos, and Shineng Hu
Weather Clim. Dynam., 5, 763–777, https://doi.org/10.5194/wcd-5-763-2024,https://doi.org/10.5194/wcd-5-763-2024, 2024
Short summary
Meeting summary: Exploring cloud dynamics with Cloud Model 1 and 3D visualization – insights from a university modeling workshop
Lisa Schielicke, Yidan Li, Jerome Schyns, Aaron Sperschneider, Jose Pablo Solano Marchini, and Christoph Peter Gatzen
Weather Clim. Dynam., 5, 703–710, https://doi.org/10.5194/wcd-5-703-2024,https://doi.org/10.5194/wcd-5-703-2024, 2024
Short summary
Waviness of the Southern Hemisphere wintertime polar and subtropical jets
Jonathan E. Martin and Taylor Norton
Weather Clim. Dynam., 4, 875–886, https://doi.org/10.5194/wcd-4-875-2023,https://doi.org/10.5194/wcd-4-875-2023, 2023
Short summary

Cited articles

Allen, J. T.: Climate Change and Severe Thunderstorms, January, Oxford Research Encyclopedia of Climate Science, Oxford University Press, Oxford, https://doi.org/10.1093/acrefore/9780190228620.013.62, 2018. a
AMS Glossary of Meteorology: Effective earth radius model, https://glossary.ametsoc.org/wiki/Effective_earth_radius (last access: 4 October 2021), 2012. a
Avolio, E., Nisi, L., Panziera, L., Peyraud, L., and Miglietta, M. M.: A multi-sensor and modeling analysis of a severe convective storm in Lake Maggiore area (northwestern Italy), Atmos. Res., 242, 105008, https://doi.org/10.1016/j.atmosres.2020.105008, 2020. a
Barras, H., Hering, A., Martynov, A., Noti, P. A., Germann, U., and Martius, O.: Experiences with >50,000 crowdsourced hail reports in Switzerland, B. Am. Meteorol. Soc., 100, 1429–1440, https://doi.org/10.1175/BAMS-D-18-0090.1, 2019. a, b
Barras, H., Martius, O., Nisi, L., Schroeer, K., Hering, A., and Germann, U.: Multi-day hail clusters and isolated hail days in Switzerland – large-scale flow conditions and precursors, Weather Clim. Dynam. Discuss. [preprint], https://doi.org/10.5194/wcd-2021-25, in review, 2021. a, b
Download
Short summary
Mesocyclones are the rotating updraught of supercell thunderstorms that present a particularly hazardous subset of thunderstorms. A first-time characterisation of the spatiotemporal occurrence of mesocyclones in the Alpine region is presented, using 5 years of Swiss operational radar data. We investigate parallels to hailstorms, particularly the influence of large-scale flow, daily cycles and terrain. Improving understanding of mesocyclones is valuable for risk assessment and warning purposes.