Articles | Volume 7, issue 2
https://doi.org/10.5194/wcd-7-659-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wcd-7-659-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Relating extratropical atmospheric heat transport to cyclone life cycle characteristics and numbers in Southern Hemispheric winter
Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland
Alejandro Hermoso
Climate and Environmental Physics and Oeschger Centre for Climate Change Research, University of Bern, Bern, Switzerland
Aaron Donohoe
Department of Atmospheric Sciences, University of Washington, Seattle, WA, US
Applied Physics Laboratory, University of Washington, Seattle, WA, USA
Sebastian Schemm
Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland
Department of Applied Mathematics and Theoretical Physics, Centre for Mathematical Sciences, University of Cambridge, Cambridge, UK
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Land cover and management changes can affect the climate and water availability. In this study we use climate model simulations of extreme global land cover changes (afforestation, deforestation) and land management changes (irrigation) to understand the effects on the global water cycle and local to continental water availability. We show that cropland expansion generally leads to higher evaporation and lower amounts of precipitation and afforestation and irrigation expansion to the opposite.
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Philippe Besson, Luise J. Fischer, Sebastian Schemm, and Michael Sprenger
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The strongest cyclone intensification is associated with a strong dry-dynamical forcing. Moreover, strong forcing and strong intensification correspond to a tendency for poleward cyclone propagation, which occurs in distinct regions in the Northern Hemisphere. There is a clear spatial pattern in the occurrence of certain forcing combinations. This implies a fundamental relationship between dry-dynamical processes and the intensification as well as the propagation of extratropical cyclones.
Gabriel Vollenweider, Elisa Spreitzer, and Sebastian Schemm
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The interactions between the dry and moist components of the atmosphere and the influence of, for example, the phase transition of water on the atmospheric circulation are often studied from the potential vorticity (PV) framework. Changes in the PV due to, for example, condensation can relate to changes in the static stability or vorticity. To better the interaction between these two drivers of PV changes, we explore the usefulness of a novel vorticity-and-stability diagram.
Cited articles
Armour, K. C., Siler, N., Donohoe, A., and Roe, G. H.: Meridional Atmospheric Heat Transport Constrained by Energetics and Mediated by Large-Scale Diffusion, J. Climate, 32, 3655–3680, https://doi.org/10.1175/JCLI-D-18-0563.1, 2019. a
Attinger, R., Spreitzer, E., Boettcher, M., Forbes, R., Wernli, H., and Joos, H.: Quantifying the role of individual diabatic processes for the formation of PV anomalies in a North Pacific cyclone, Q. J. Roy. Meteor. Soc., 145, 2454–2476, https://doi.org/10.1002/QJ.3573, 2019. a
Boer, G.: Some dynamical consequences of Greenhouse gas warming, Atmos. Ocean, 33, 731–751, https://doi.org/10.1080/07055900.1995.9649551, 1995. a
Boer, G. J. and Sargent, N. E.: Vertically Integrated Budgets of Mass and Energy for the Globe, J. Atmos. Sci., 42, 1592–1613, https://doi.org/10.1175/1520-0469(1985)042<1592:VIBOMA>2.0.CO;2, 1985. a
Booth, J. F., Wang, S., and Polvani, L.: Midlatitude storms in a moister world: lessons from idealized baroclinic life cycle experiments, Clim. Dynam., 41, 787–802, https://doi.org/10.1007/s00382-012-1472-3, 2013. a
Büeler, D. and Pfahl, S.: Potential Vorticity Diagnostics to Quantify Effects of Latent Heating in Extratropical Cyclones. Part I: Methodology, J. Atmos. Sci., 74, 3567–3590, https://doi.org/10.1175/JAS-D-17-0041.1, 2017. a
Cardinale, C. J., Rose, B. E. J., Lang, A. L., and Donohoe, A.: Stratospheric and Tropospheric Flux Contributions to the Polar Cap Energy Budgets, J. Climate, 34, 4261–4278, https://doi.org/10.1175/JCLI-D-20-0722.1, 2021. a, b
Catto, J. L., Shaffrey, L. C., and Hodges, K. I.: Can Climate Models Capture the Structure of Extratropical Cyclones?, J. Climate, 23, 1621–1635, https://doi.org/10.1175/2009JCLI3318.1, 2010. a
Chang, E. K.: Projected Significant Increase in the Number of Extreme Extratropical Cyclones in the Southern Hemisphere, J. Climate, 30, 4915–4935, https://doi.org/10.1175/JCLI-D-16-0553.1, 2017. a
Chang, E. K., Guo, Y., and Xia, X.: CMIP5 multimodel ensemble projection of storm track change under global warming, J. Geophys. Res.-Atmos., 117, D23118, https://doi.org/10.1029/2012JD018578, 2012. a
Chang, E. K. M.: CMIP5 Projected Change in Northern Hemisphere Winter Cyclones with Associated Extreme Winds, J. Climate, 31, 6527–6542, https://doi.org/10.1175/JCLI-D-17-0899.1, 2018. a
Charney, J. G.: The dynamics of long waves in a baroclinic westerly current, J. Atmos. Sci., 4, 136–162, https://doi.org/10.1175/1520-0469(1947)004<0136:TDOLWI>2.0.CO;2, 1947. a
Clark, J. P., Feldstein, S. B., and Lee, S.: Moist Static Energy Transport Trends in Four Global Reanalyses: Are They Downgradient?, Geophys. Res. Lett., 49, https://doi.org/10.1029/2022GL098822, 2022. a
Cornér, J., Bouvier, C., Doiteau, B., Pantillon, F., and Sinclair, V. A.: Classification of North Atlantic and European extratropical cyclones using multiple measures of intensity, Nat. Hazards Earth Syst. Sci., 25, 207–229, https://doi.org/10.5194/nhess-25-207-2025, 2025. a
Cox, T., Donohoe, A., Armour, K. C., Frierson, D. M., and Roe, G. H.: Comment on “Moist Static Energy Transport Trends in Four Global Reanalyses: Are They Downgradient?” by Clark et al. (2022), Geophys. Res. Lett., 50, https://doi.org/10.1029/2023GL102804, 2023. a
Cox, T., Donohoe, A., Armour, K. C., Frierson, D. M., and Roe, G. H.: Trends in Atmospheric Heat Transport Since 1980, J. Climate, 37, 1539–1550, https://doi.org/10.1175/JCLI-D-23-0385.1, 2024a. a
Cox, T., Donohoe, A., Armour, K. C., Roe, G. H., and Frierson, D. M. W.: A New Method for Calculating Instantaneous Atmospheric Heat Transport, J. Climate, 37, 4337–4346, https://doi.org/10.1175/JCLI-D-23-0521.1, 2024b. a, b, c
Dai, P. and Nie, J.: Robust Expansion of Extreme Midlatitude Storms Under Global Warming, Geophys. Res. Lett., 49, e2022GL099007, https://doi.org/10.1029/2022GL099007, 2022. a
Donohoe, A., Armour, K. C., Roe, G. H., Battisti, D. S., and Hahn, L.: The Partitioning of Meridional Heat Transport from the Last Glacial Maximum to CO2 Quadrupling in Coupled Climate Models, J. Climate, 33, 4141–4165, https://doi.org/10.1175/JCLI-D-19-0797.1, 2020. a
Eady, E. T.: Long Waves and Cyclone Waves, Tellus, 1, 33–52, https://doi.org/10.3402/tellusa.v1i3.8507, 1949. a, b, c
Fearon, M. G., Doyle, J. D., Ryglicki, D. R., Finocchio, P. M., and Sprenger, M.: The Role of Cyclones in Moisture Transport into the Arctic, Geophys. Res. Lett., 48, e2020GL090353, https://doi.org/10.1029/2020GL090353, 2021. a
Franzke, C. L. E. and Harnik, N.: Long-Term Trends of the Atmospheric Circulation and Moist Static Energy Budget in the JRA-55 Reanalysis, J. Climate, 36, 2959–2984, https://doi.org/10.1175/jcli-d-21-0724.1, 2023. a, b, c
Fritsch, F. N. and Carlson, R. E.: Monotone Piecewise Cubic Interpolation, SIAM J. Numer. Anal., 17, 238–246, https://doi.org/10.1137/0717021, 1980. a
Geen, R., Czaja, A., and Haigh, J. D.: The effects of increasing humidity on heat transport by extratropical waves, Geophys. Res. Lett., 43, 8314–8321, https://doi.org/10.1002/2016GL070214, 2016. a, b, c, d
Geng, Q. and Sugi, M.: Possible Change of Extratropical Cyclone Activity due to Enhanced Greenhouse Gases and Sulfate Aerosols–Study with a High-Resolution AGCM, J. Climate, 16, 2262–2274, https://doi.org/10.1175/1520-0442(2003)16<2262:PCOECA>2.0.CO;2, 2003. a
Gill, A. E.: Atmosphere–ocean dynamics, Academic Press, New York, 520 pp., ISBN: 978-0-12-283522-3, 1982. a
Grieger, J., Leckebusch, G. C., Donat, M. G., Schuster, M., and Ulbrich, U.: Southern Hemisphere winter cyclone activity under recent and future climate conditions in multi-model AOGCM simulations, Int. J. Climatol., 34, 3400–3416, https://doi.org/10.1002/JOC.3917, 2014. a
Heitmann, K., Sprenger, M., Binder, H., Wernli, H., and Joos, H.: Warm conveyor belt characteristics and impacts along the life cycle of extratropical cyclones: case studies and climatological analysis based on ERA5, Weather Clim. Dynam., 5, 537–557, https://doi.org/10.5194/wcd-5-537-2024, 2024. a
Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A., Muñoz‐Sabater, J., Nicolas, J., Peubey, C., Radu, R., Schepers, D., Simmons, A., Soci, C., Abdalla, S., Abellan, X., Balsamo, G., Bechtold, P., Biavati, G., Bidlot, J., Bonavita, M., Chiara, G., Dahlgren, P., Dee, D., Diamantakis, M., Dragani, R., Flemming, J., Forbes, R., Fuentes, M., Geer, A., Haimberger, L., Healy, S., Hogan, R. J., Hólm, E., Janisková, M., Keeley, S., Laloyaux, P., Lopez, P., Lupu, C., Radnoti, G., Rosnay, P., Rozum, I., Vamborg, F., Villaume, S., and Thépaut, J.: The ERA5 global reanalysis, Q. J. Roy. Meteor. Soc., 146, 1999–2049, https://doi.org/10.1002/qj.3803, 2020. a
Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horányi, A., Muñoz Sabater, J., Nicolas, J., Peubey, C., Radu, R., Rozum, I., Schepers, D., Simmons, A., Soci, C., Dee, D., and Thépaut, J.-N.: ERA5 hourly data on pressure levels from 1940 to present, Copernicus Climate Change Service (C3S) Climate Data Store (CDS) [data set], https://doi.org/10.24381/cds.bd0915c6, 2023. a
Hoskins, B. J., James, I. N., and White, G. H.: The Shape, Propagation and Mean-Flow Interaction of Large-Scale Weather Systems, J. Atmos. Sci., 40, 1595–1612, https://doi.org/10.1175/1520-0469(1983)040<1595:TSPAMF>2.0.CO;2, 1983. a
Kang, J. M., Shaw, T. A., Kang, S. M., Simpson, I. R., and Yu, Y.: Revisiting the reanalysis-model discrepancy in Southern Hemisphere winter storm track trends, npj Clim. Atmos. Sci., 7, 1–10, https://doi.org/10.1038/s41612-024-00801-3, 2024. a
Karwat, A., Franzke, C. L., and Blender, R.: Long-Term Trends of Northern Hemispheric Winter Cyclones in the Extended ERA5 Reanalysis, J. Geophys. Res.-Atmos., 127, e2022JD036952, https://doi.org/10.1029/2022JD036952, 2022. a
Kaspi, Y. and Schneider, T.: The Role of Stationary Eddies in Shaping Midlatitude Storm Tracks, J. Atmos. Sci., 70, 2596–2613, https://doi.org/10.1175/JAS-D-12-082.1, 2013. a
Kolstad, E. W. and Bracegirdle, T. J.: Marine cold-air outbreaks in the future: An assessment of IPCC AR4 model results for the Northern Hemisphere, Clim. Dynam., 30, 871–885, https://doi.org/10.1007/S00382-007-0331-0, 2008. a
König, W., Sausen, R., and Sielmann, F.: Objective Identification of Cyclones in GCM Simulations, J. Climate, 6, 2217–2231, https://doi.org/10.1175/1520-0442(1993)006<2217:OIOCIG>2.0.CO;2, 1993. a
Lambert, S. J. and Fyfe, J. C.: Changes in winter cyclone frequencies and strengths simulated in enhanced greenhouse warming experiments: Results from the models participating in the IPCC diagnostic exercise, Clim. Dynam., 26, 713–728, https://doi.org/10.1007/S00382-006-0110-3, 2006. a
Lembo, V., Fabiano, F., Galfi, V. M., Graversen, R. G., Lucarini, V., and Messori, G.: Meridional-energy-transport extremes and the general circulation of Northern Hemisphere mid-latitudes: dominant weather regimes and preferred zonal wavenumbers, Weather Clim. Dynam., 3, 1037–1062, https://doi.org/10.5194/wcd-3-1037-2022, 2022. a
Lindzen, R. S. and Farrell, B.: A Simple Approximate Result for the Maximum Growth Rate of Baroclinic Instabilities, J. Atmos. Sci., 37, 1648–1654, https://doi.org/10.1175/1520-0469(1980)037<1648:ASARFT>2.0.CO;2, 1980. a
Lopez-Marti, F., Ginesta, M., Faranda, D., Rutgersson, A., Yiou, P., Wu, L., and Messori, G.: Future changes in compound explosive cyclones and atmospheric rivers in the North Atlantic, Earth Syst. Dynam., 16, 169–187, https://doi.org/10.5194/esd-16-169-2025, 2025. a
Marshall, J., Donohoe, A., Ferreira, D., and McGee, D.: The ocean's role in setting the mean position of the Inter-Tropical Convergence Zone, Clim. Dynam., 42, 1967–1979, https://doi.org/10.1007/s00382-013-1767-z, 2014. a, b
Mayer, J., Mayer, M., and Haimberger, L.: Consistency and Homogeneity of Atmospheric Energy, Moisture, and Mass Budgets in ERA5, J. Climate, 34, 3955–3974, https://doi.org/10.1175/JCLI-D-20-0676.1, 2021. a
Mayer, M., Kato, S., Bosilovich, M., Bechtold, P., Mayer, J., Schröder, M., Behrangi, A., Wild, M., Kobayashi, S., Li, Z., and L'Ecuyer, T.: Assessment of Atmospheric and Surface Energy Budgets Using Observation-Based Data Products, Surv. Geophys., 45, 1–28, https://doi.org/10.1007/S10712-024-09827-x, 2024. a
Messori, G. and Czaja, A.: On the sporadic nature of meridional heat transport by transient eddies, Q. J. Roy. Meteor. Soc., 139, 999–1008, https://doi.org/10.1002/qj.2011, 2013. a
Messori, G. and Czaja, A.: Some considerations on the spectral features of meridional heat transport by transient eddies, Q. J. Roy. Meteor. Soc., 140, 1377–1386, https://doi.org/10.1002/QJ.2224, 2014. a, b
Neelin, J. D. and Held, I. M.: Modeling Tropical Convergence Based on the Moist Static Energy Budget, Mon. Weather Rev., 115, 3–12, https://doi.org/10.1175/1520-0493(1987)115<0003:MTCBOT>2.0.CO;2, 1987. a
Novak, L., Ambaum, M. H. P., and Tailleux, R.: The Life Cycle of the North Atlantic Storm Track, J. Atmos. Sci., 72, 821–833, https://doi.org/10.1175/JAS-D-14-0082.1, 2015. a
Papritz, L., Pfahl, S., Rudeva, I., Simmonds, I., Sodemann, H., and Wernli, H.: The Role of Extratropical Cyclones and Fronts for Southern Ocean Freshwater Fluxes, J. Climate, 27, 6205–6224, https://doi.org/10.1175/JCLI-D-13-00409.1, 2014. a
Priestley, C. H.: Heat transport and zonal stress between latitudes, Q. J. Roy. Meteor. Soc., 75, 28–40, https://doi.org/10.1002/qj.49707532307, 1949. a, b
Priestley, M. D. K. and Catto, J. L.: Future changes in the extratropical storm tracks and cyclone intensity, wind speed, and structure, Weather Clim. Dynam., 3, 337–360, https://doi.org/10.5194/wcd-3-337-2022, 2022. a, b
Rudeva, I. and Gulev, S. K.: Climatology of Cyclone Size Characteristics and Their Changes during the Cyclone Life Cycle, Mon. Weather Rev., 135, 2568–2587, https://doi.org/10.1175/MWR3420.1, 2007. a, b
Rudeva, I., Simmonds, I., Crock, D., and Boschat, G.: Midlatitude Fronts and Variability in the Southern Hemisphere Tropical Width, J. Climate, 32, 8243–8260, https://doi.org/10.1175/JCLI-D-18-0782.1, 2019. a
Rüdisühli, S., Sprenger, M., Leutwyler, D., Schär, C., and Wernli, H.: Attribution of precipitation to cyclones and fronts over Europe in a kilometer-scale regional climate simulation, Weather Clim. Dynam., 1, 675–699, https://doi.org/10.5194/wcd-1-675-2020, 2020. a
Ruggieri, P., Alvarez-Castro, M. C., Athanasiadis, P., Bellucci, A., Materia, S., and Gualdi, S.: North Atlantic Circulation Regimes and Heat Transport by Synoptic Eddies, J. Climate, 33, 4769–4785, https://doi.org/10.1175/JCLI-D-19-0498.1, 2020. a
Rydsaa, J. H., Graversen, R. G., Heiskanen, T. I., and Stoll, P. J.: Changes in atmospheric latent energy transport into the Arctic: Planetary versus synoptic scales, Q. J. Roy. Meteor. Soc., 147, 2281–2292, https://doi.org/10.1002/QJ.4022, 2021. a
Sanders, F. and Gyakum, J. R.: Synoptic-Dynamic Climatology of the “Bomb”, Mon. Weather Rev., 108, 1589–1606, https://doi.org/10.1175/1520-0493(1980)108<1589:SDCOT>2.0.CO;2, 1980. a
Schemm, S. and Rivière, G.: On the Efficiency of Baroclinic Eddy Growth and How It Reduces the North Pacific Storm-Track Intensity in Midwinter, J. Climate, 32, 8373–8398, https://doi.org/10.1175/JCLI-D-19-0115.1, 2019. a
Schemm, S. and Sprenger, M.: Frontal‐wave cyclogenesis in the North Atlantic – a climatological characterisation, Q. J. Roy. Meteor. Soc., 141, 2989–3005, https://doi.org/10.1002/qj.2584, 2015. a
Schemm, S., Rudeva, I., and Simmonds, I.: Extratropical fronts in the lower troposphere–global perspectives obtained from two automated methods, Q. J. Roy. Meteor. Soc., 141, 1686–1698, https://doi.org/10.1002/QJ.2471, 2015. a
Schemm, S., Sprenger, M., and Wernli, H.: When during Their Life Cycle Are Extratropical Cyclones Attended by Fronts?, B. Am. Meteorol. Soc., 99, 149–165, https://doi.org/10.1175/BAMS-D-16-0261.1, 2018. a, b, c
Schemm, S., Papritz, L., and Rivière, G.: Storm track response to uniform global warming downstream of an idealized sea surface temperature front, Weather Clim. Dynam., 3, 601–623, https://doi.org/10.5194/wcd-3-601-2022, 2022. a
Schulzweida, U.: CDO User Guide, Version 1.9.5, Zenodo, https://doi.org/10.5281/zenodo.1435455, 2018. a
Seiler, C. and Zwiers, F. W.: How will climate change affect explosive cyclones in the extratropics of the Northern Hemisphere?, Clim. Dynam., 46, 3633–3644, https://doi.org/10.1007/s00382-015-2791-y, 2016. a
Shapiro, M. A. and Keyser, D.: Fronts, Jet Streams and the Tropopause, in: Extratropical Cyclones: The Erik Palmén Memorial Volume, edited by: Newton, C. W. and Holopainen, E. O., American Meteorological Society, Boston, MA, 167–191, https://doi.org/10.1007/978-1-944970-33-8_10, ISBN 978-1-944970-33-8, 1990. a, b
Shaw, T. A., Baldwin, M., Barnes, E. A., Caballero, R., Garfinkel, C. I., Hwang, Y. T., Li, C., O'Gorman, P. A., Rivière, G., Simpson, I. R., and Voigt, A.: Storm track processes and the opposing influences of climate change, Nat. Geosci., 9, 656–664, https://doi.org/10.1038/ngeo2783, 2016. a
Shaw, T. A., Barpanda, P., and Donohoe, A.: A Moist Static Energy Framework for Zonal-Mean Storm-Track Intensity, J. Atmos. Sci., 75, 1979–1994, https://doi.org/10.1175/JAS-D-17-0183.1, 2018. a
Shields, C. A., Rutz, J. J., Leung, L.-Y., Ralph, F. M., Wehner, M., Kawzenuk, B., Lora, J. M., McClenny, E., Osborne, T., Payne, A. E., Ullrich, P., Gershunov, A., Goldenson, N., Guan, B., Qian, Y., Ramos, A. M., Sarangi, C., Sellars, S., Gorodetskaya, I., Kashinath, K., Kurlin, V., Mahoney, K., Muszynski, G., Pierce, R., Subramanian, A. C., Tome, R., Waliser, D., Walton, D., Wick, G., Wilson, A., Lavers, D., Prabhat, Collow, A., Krishnan, H., Magnusdottir, G., and Nguyen, P.: Atmospheric River Tracking Method Intercomparison Project (ARTMIP): project goals and experimental design, Geosci. Model Dev., 11, 2455–2474, https://doi.org/10.5194/gmd-11-2455-2018, 2018. a, b
Simmons, A. J.: Trends in the tropospheric general circulation from 1979 to 2022, Weather Clim. Dynam., 3, 777–809, https://doi.org/10.5194/wcd-3-777-2022, 2022. a
Sinclair, V. A. and Catto, J. L.: The relationship between extra-tropical cyclone intensity and precipitation in idealised current and future climates, Weather Clim. Dynam., 4, 567–589, https://doi.org/10.5194/wcd-4-567-2023, 2023. a
Sinclair, V. A. and Dacre, H. F.: Which Extratropical Cyclones Contribute Most to the Transport of Moisture in the Southern Hemisphere?, J. Geophys. Res.-Atmos., 124, 2525–2545, https://doi.org/10.1029/2018JD028766, 2019. a, b
Sinclair, V. A., Rantanen, M., Haapanala, P., Räisänen, J., and Järvinen, H.: The characteristics and structure of extra-tropical cyclones in a warmer climate, Weather Clim. Dynam., 1, 1–25, https://doi.org/10.5194/wcd-1-1-2020, 2020. a
Sprenger, M., Fragkoulidis, G., Binder, H., Croci-Maspoli, M., Graf, P., Grams, C. M., Knippertz, P., Madonna, E., Schemm, S., Škerlak, B., and Wernli, H.: Global Climatologies of Eulerian and Lagrangian Flow Features based on ERA-Interim, B. Am. Meteorol. Soc., 98, 1739–1748, https://doi.org/10.1175/BAMS-D-15-00299.1, 2017. a, b
Thorncroft, C. D., Hoskins, B. J., and McIntyre, M. E.: Two paradigms of baroclinic-wave life-cycle behaviour, Q. J. Roy. Meteor. Soc., 119, 17–55, https://doi.org/10.1002/qj.49711950903, 1993. a
Trenberth, K. E.: Climate Diagnostics from Global Analyses: Conservation of Mass in ECMWF Analyses, J. Climate, 4, 707–722, https://doi.org/10.1175/1520-0442(1991)004<0707:CDFGAC>2.0.CO;2, 1991. a
Tsukernik, M. and Lynch, A. H.: Atmospheric Meridional Moisture Flux over the Southern Ocean: A Story of the Amundsen Sea, J. Climate, 26, 8055–8064, https://doi.org/10.1175/JCLI-D-12-00381.1, 2013. a
Ullrich, P. A., Zarzycki, C. M., McClenny, E. E., Pinheiro, M. C., Stansfield, A. M., and Reed, K. A.: TempestExtremes v2.1: a community framework for feature detection, tracking, and analysis in large datasets, Geosci. Model Dev., 14, 5023–5048, https://doi.org/10.5194/gmd-14-5023-2021, 2021. a
Vannière, B., Czaja, A., Dacre, H., Woollings, T., and Parfitt, R.: A potential vorticity signature for the cold sector of winter extratropical cyclones, Q. J. Roy. Meteor. Soc., 142, 432–442, https://doi.org/10.1002/QJ.2662, 2016. a
Wernli, H. and Schwierz, C.: Surface Cyclones in the ERA-40 Dataset (1958–2001). Part I: Novel Identification Method and Global Climatology, J. Atmos. Sci., 63, 2486–2507, https://doi.org/10.1175/JAS3766.1, 2006. a
Wernli, H., Dirren, S., Liniger, M. A., and Zillig, M.: Dynamical aspects of the life cycle of the winter storm 'Lothar' (24–26 December 1999), Q. J. Roy. Meteor. Soc., 128, 405–429, https://doi.org/10.1256/003590002321042036, 2002. a
Zhang, Y. and Wang, W.-C.: Model-Simulated Northern Winter Cyclone and Anticyclone Activity under a Greenhouse Warming Scenario, J. Climate, 10, 1616–1634, https://doi.org/10.1175/1520-0442(1997)010<1616:MSNWCA>2.0.CO;2, 1997. a
Zibell, J.: Relating extratropical atmospheric heat transport to cyclone life cycle characteristics and numbers in Southern Hemispheric winter, ETH Zurich [data set], https://doi.org/10.3929/ethz-c-000797410, 2026. a
Zibell, J., Hermoso, A., Donohoe, A., and Schemm, S.: Relating extratropical atmospheric heat transport to cyclone life cycle characteristics and numbers in Southern Hemispheric winter, Version v1, Zenodo [code], https://doi.org/10.5281/zenodo.19061298, 2026. a
Zolina, O. and Gulev, S. K.: Synoptic Variability of Ocean–Atmosphere Turbulent Fluxes Associated with Atmospheric Cyclones, J. Climate, 16, 2717–2734, https://doi.org/10.1175/1520-0442(2003)016<2717:SVOOTF>2.0.CO;2, 2003. a
Short summary
The transient moist static energy (MSE) flux dominates the poleward atmospheric heat transport in the Southern Hemisphere. In this study, we investigate how this transient MSE flux evolves over the life cycle of extratropical cyclones. By attributing transient MSE fluxes to nearby cyclones, we assess the contribution of individual cyclones to zonally integrated atmospheric heat transport and discuss the relationship between cyclone numbers and atmospheric heat transport on a seasonal scale.
The transient moist static energy (MSE) flux dominates the poleward atmospheric heat transport...