Articles | Volume 3, issue 1
https://doi.org/10.5194/wcd-3-89-2022
https://doi.org/10.5194/wcd-3-89-2022
Research article
 | 
31 Jan 2022
Research article |  | 31 Jan 2022

Identification, characteristics and dynamics of Arctic extreme seasons

Katharina Hartmuth, Maxi Boettcher, Heini Wernli, and Lukas Papritz

Related authors

Dynamics, predictability, impacts, and climate change considerations of the catastrophic Mediterranean Storm Daniel (2023)
Emmanouil Flaounas, Stavros Dafis, Silvio Davolio, Davide Faranda, Christian Ferrarin, Katharina Hartmuth, Assaf Hochman, Aristeidis Koutroulis, Samira Khodayar, Mario Marcello Miglietta, Florian Pantillon, Platon Patlakas, Michael Sprenger, and Iris Thurnherr
EGUsphere, https://doi.org/10.5194/egusphere-2024-2809,https://doi.org/10.5194/egusphere-2024-2809, 2024
This preprint is open for discussion and under review for Weather and Climate Dynamics (WCD).
Short summary
Characteristics and dynamics of extreme winters in the Barents Sea in a changing climate
Katharina Hartmuth, Heini Wernli, and Lukas Papritz
EGUsphere, https://doi.org/10.5194/egusphere-2024-878,https://doi.org/10.5194/egusphere-2024-878, 2024
Short summary
Moisture origin, transport pathways, and driving processes of intense wintertime moisture transport into the Arctic
Lukas Papritz, David Hauswirth, and Katharina Hartmuth
Weather Clim. Dynam., 3, 1–20, https://doi.org/10.5194/wcd-3-1-2022,https://doi.org/10.5194/wcd-3-1-2022, 2022
Short summary
The role of air–sea fluxes for the water vapour isotope signals in the cold and warm sectors of extratropical cyclones over the Southern Ocean
Iris Thurnherr, Katharina Hartmuth, Lukas Jansing, Josué Gehring, Maxi Boettcher, Irina Gorodetskaya, Martin Werner, Heini Wernli, and Franziska Aemisegger
Weather Clim. Dynam., 2, 331–357, https://doi.org/10.5194/wcd-2-331-2021,https://doi.org/10.5194/wcd-2-331-2021, 2021
Short summary

Related subject area

Dynamical processes in polar regions, incl. polar–midlatitude interactions
Arctic climate response to European radiative forcing: a deep learning study on circulation pattern changes
Sina Mehrdad, Dörthe Handorf, Ines Höschel, Khalil Karami, Johannes Quaas, Sudhakar Dipu, and Christoph Jacobi
Weather Clim. Dynam., 5, 1223–1268, https://doi.org/10.5194/wcd-5-1223-2024,https://doi.org/10.5194/wcd-5-1223-2024, 2024
Short summary
Using variable-resolution grids to model precipitation from atmospheric rivers around the Greenland ice sheet
Annelise Waling, Adam Herrington, Katharine Duderstadt, Jack Dibb, and Elizabeth Burakowski
Weather Clim. Dynam., 5, 1117–1135, https://doi.org/10.5194/wcd-5-1117-2024,https://doi.org/10.5194/wcd-5-1117-2024, 2024
Short summary
Circulation responses to surface heating and implications for polar amplification
Peter Yu Feng Siew, Camille Li, Stefan Pieter Sobolowski, Etienne Dunn-Sigouin, and Mingfang Ting
Weather Clim. Dynam., 5, 985–996, https://doi.org/10.5194/wcd-5-985-2024,https://doi.org/10.5194/wcd-5-985-2024, 2024
Short summary
The study of the impact of polar warming on global atmospheric circulation and mid-latitude baroclinic waves using a laboratory analog
Andrei Sukhanovskii, Andrei Gavrilov, Elena Popova, and Andrei Vasiliev
Weather Clim. Dynam., 5, 863–880, https://doi.org/10.5194/wcd-5-863-2024,https://doi.org/10.5194/wcd-5-863-2024, 2024
Short summary
A comparison of the atmospheric response to the Weddell Sea Polynya in atmospheric general circulation models (AGCMs) of varying resolutions
Holly C. Ayres, David Ferreira, Wonsun Park, Joakim Kjellsson, and Malin Ödalen
Weather Clim. Dynam., 5, 805–820, https://doi.org/10.5194/wcd-5-805-2024,https://doi.org/10.5194/wcd-5-805-2024, 2024
Short summary

Cited articles

Arrhenius, S.: On the influence of carbonic acid in the air upon the temperature of the ground, Philos. Mag. J. Sci., 5, 237–276, https://doi.org/10.1080/14786449608620846, 1896. a
Binder, H., Boettcher, M., Grams, C. M., Joos, H., Pfahl, S., and Wernli, H.: Exceptional air mass transport and dynamical drivers of an extreme wintertime Arctic warm event, Geophys. Res. Lett., 44, 12028–12036, https://doi.org/10.1002/2017GL075841, 2017. a, b
Blunden, J. and Arndt, D. S.: State of the Climate in 2016, B. Am. Meteorol. Soc., 98, Si–S277, https://doi.org/10.1175/2017BAMSStateoftheClimate.1, 2017. a, b
Boisvert, L. N., Petty, A. A., and Stroeve, J. C.: The impact of the extreme winter 2015/16 Arctic cyclone on the Barents–Kara Seas, Mon. Weather Rev., 144, 4279–4287, https://doi.org/10.1175/MWR-D-16-0234.1, 2016. a, b, c, d
Burt, M., Randall, D., and Branson, M.: Dark warming, J. Climate, 29, 705–719, https://doi.org/10.1175/JCLI-D-15-0147.1, 2016. a
Download
Short summary
In this study, we introduce a novel method to objectively define and identify extreme Arctic seasons based on different surface variables. We find that such seasons are resulting from various combinations of unusual seasonal conditions. The occurrence or absence of different atmospheric processes strongly affects the character of extreme Arctic seasons. Further, changes in sea ice and sea surface temperature can strongly influence the formation of such a season in distinct regions.