Abstract
Tropical cyclones (TCs, also known as hurricanes and typhoons) generally form at low latitudes with access to the warm waters of the tropical oceans, but far enough off the equator to allow planetary rotation to cause aggregating convection to spin up into coherent vortices. Yet, current prognostic frameworks for TC latitudes make contradictory predictions for climate change. Simulations of past warm climates, such as the Eocene and Pliocene, show that TCs can form and intensify at higher latitudes than of those during pre-industrial conditions. Observations and model projections for the twenty-first century indicate that TCs may again migrate poleward in response to anthropogenic greenhouse gas emissions, which poses profound risks to the planet’s most populous regions. Previous studies largely neglected the complex processes that occur at temporal and spatial scales of individual storms as these are poorly resolved in numerical models. Here we review this mesoscale physics in the context of responses to climate warming of the Hadley circulation, jet streams and Intertropical Convergence Zone. We conclude that twenty-first century TCs will most probably occupy a broader range of latitudes than those of the past 3 million years as low-latitude genesis will be supplemented with increasing mid-latitude TC favourability, although precise estimates for future migration remain beyond current methodologies.
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Data availability
All the data used in this study is freely and publicly available in perpetuity. The TC data for the contemporary period (Fig. 2 and Extended Data Fig. 4) are plotted directly from IBTrACS157. These data are freely available at https://doi.org/10.25921/82ty-9e16. Version v04r00 was downloaded and the World Meteorological Organisation’s homogenization was used. Contemporary environment fields, used in Figs. 2 and 4 and in Extended Data Figs. 4, 6 and 8, were taken from ECMWF’s ERA5 reanalysis product156. All the data were downloaded at the native horizonal resolution (0.25 × 0.25°) as monthly means for the years 1979 to 2020. These raw data are freely and publicly available for download at https://doi.org/10.24381/cds.6860a573. The idealized cloud-resolving modelling data is replotted from Fedorov et al.32. These data are freely available in the Dryad repository https://doi.org/10.5061/dryad.8pk0p2np2. The PETM modelling data (from Kiehl et al.34) are available at https://doi.org/10.1016/j.palaeo.2021.110421. CMIP6 data for the ITCZ plotted in Fig. 6 and Extended Data Fig. 7 were taken from 17 model centres that contributed to CMIP6. These data are available from the Earth System Grid Federation. Our CMIP6 analysis relies on subsets of the total model ensemble (+50 models). We used data from the following models: ACCESS-CM2158, ACCESS-ESM1-5159, BCC-CSM2-MR160, CAMS-CSM1-0161, CESM2-WACCM162, CIESM163, CanESM5164, EC-Earth3-Veg165, GFDL-CM4166, GFDL-ESM4167, INM-CM4-8168, INM-CM5-0169, IPSL-CM6A-LR170, MIROC6171, MPI-ESM1-2-HR172, MRI-ESM2-0173 and NorESM2-LM174.
References
Hsieh, T., Vecchi, G. A., Yang, W., Held, I. M. & Garner, S. T. Large-scale control on the frequency of tropical cyclones and seeds: a consistent relationship across a hierarchy of global atmospheric models. Clim. Dyn. 55, 3177–3196 (2020).
Boos, W. R., Fedorov, A. & Muir, L. Convective self-aggregation and tropical cyclogenesis under the hypohydrostatic rescaling. J. Atmos. Sci. 73, 525–544 (2016).
Emanuel, K. 100 years of progress in tropical cyclone research. Meteorol. Monogr. 59, 15.1–15.68 (2018).
Tang, B. H. et al. Recent advances in research on tropical cyclogenesis. Trop. Cyclone Res. Rev. 9, 87–105 (2020).
Shaw, N. in Hurricanes and Tropical Revolving Storms Geophysical Memoirs No. 19 (ed. Newnham E. V.) 218 (Met Office, 1922); https://digital.nmla.metoffice.gov.uk/IO_8b3319c1-b2f3-47ce-a9c0-f77c445dad6f/
Knutson, T. et al. Tropical cyclones and climate assessment: part II: projected response to anthropogenic warming. Bull. Amer. Meteorol. Soc. 101, E303–E322 (2020).
Gray, W. M. in Meteorology over the Tropical Oceans (ed. Shaw, D. B.) 155–218 (Royal Meteorological Society, 1979).
Emanuel, K., Ravela, S., Vivant, E. & Risi, C. A statistical deterministic approach to hurricane risk assessment. Bull. Am. Meteor. Soc. 87, 299–314 (2006).
Camargo, S. J. & Wing, A. A. Tropical cyclones in climate models. WIREs Clim. Change 7, 211–237 (2016).
Emanuel, K. Downscaling CMIP5 climate models shows increased tropical cyclone activity over the 21st century. Proc. Natl Acad. Sci. USA 110, 12219–12224 (2013).
Emanuel, K. Response of global tropical cyclone activity to increasing CO2: results from downscaling CMIP6 models. J. Climate 34, 57–70 (2021).
Knutson, T. R. et al. Global projections of intense tropical cyclone activity for the late twenty-first century from dynamical downscaling of CMIP5/RCP4.5 scenarios. J. Climate 28, 7203–7224 (2015).
Roberts, M. J. et al. Projected future changes in tropical cyclones using the CMIP6 HighResMIP multimodel ensemble. Geophys. Res. Lett. 47, e2020GL088662 (2020).
Vidale, P. L. et al. Impact of stochastic physics and model resolution on the simulation of tropical cyclones in climate GCMs. J. Climate 34, 4315–4341 (2021).
Lee, C.-Y., Camargo, S. J., Sobel, A. H. & Tippett, M. K. Statistical–dynamical downscaling projections of tropical cyclone activity in a warming climate: two diverging genesis scenarios. J. Climate 33, 4815–4834 (2020).
Vecchi, G. A. et al. Tropical cyclone sensitivities to CO2 doubling: roles of atmospheric resolution, synoptic variability and background climate changes. Clim. Dyn. 53, 5999–6033 (2019).
Camargo, S. J. et al. Characteristics of model tropical cyclone climatology and the large-scale environment. J. Climate 33, 4463–4487 (2020).
Sugi, M. et al. Future changes in the global frequency of tropical cyclone seeds. SOLA 16, 70–74 (2020).
Ramsay, H. A., Singh, M. S. & Chavas, D. R. Response of tropical cyclone formation and intensification rates to climate warming in idealised simulations. JAMES 12, e2020MS002086 (2020).
Yamada, Y. et al. Evaluation of the contribution of tropical cyclone seeds to changes in tropical cyclone frequency due to global warming in high-resolution multi-model ensemble simulations. Prog. Earth Planet. Sci. 8, 11 (2021).
Knutson, T. R. et al. Tropical cyclones and climate change. Nat. Geosci. 3, 157–163 (2010).
Walsh, K. J. E. et al. Tropical cyclones and climate change. WIREs Clim. Change 7, 65–89 (2016).
Merlis, T. M. & Held, I. M. Aquaplanet simulations of tropical cyclones. Curr. Clim. Change Rep. 5, 185–195 (2019).
Chen, H.-F. et al. China’s historical record when searching for tropical cyclones corresponding to Intertropical Convergence Zone (ITCZ) shifts over the past 2 kyr. Clim. Past 15, 279–289 (2019).
Pausata, F. S. R. & Camargo, S. J. Tropical cyclone activity affected by volcanically induced ITCZ shifts. Proc. Natl Acad. Sci. USA 116, 7732–7737 (2019).
McTaggart-Cowan, R., Galarneau, T. J. Jr., Bosart, L. F., Moore, R. W. & Martius, O. A global climatology of baroclinically influenced tropical cyclogenesis. Mon. Weather Rev. 141, 1963–1989 (2013).
Davis, C. A. & Bosart, L. F. Baroclinically induced tropical cyclogenesis. Mon. Weather Rev. 131, 2730–2747 (2003).
Bentley, A. M. & Metz, N. D. Tropical transition of an unnamed, high-latitude, tropical cyclone over the eastern North Pacific. Mon. Weather Rev. 144, 713–736 (2016).
Thorncroft, C. D., Hoskins, B. J. & McIntyre, M. E. Two paradigms of baroclinic-wave life-cycle behaviour. Q. J. Meteorol. Roy. Soc. 119, 17–55 (1993).
Romero, R. & Emanuel, K. Climate change and hurricane-like extratropical cyclones: projections for North Atlantic polar lows and medicanes based on CMIP5 models. J. Climate 30, 279–299 (2017).
Korty, R. L., Emanuel, K. E., Huber, M. & Zamora, R. A. Tropical cyclones downscaled from simulations with very high carbon dioxide levels. J. Climate 30, 649–667 (2017).
Fedorov, A., Muir, L., Boos, W. R. & Studholme, J. Tropical cyclogenesis in warm climates simulated by a cloud-system resolving model. Clim. Dyn. 52, 107–127 (2019).
Zhang, G., Silvers, L. G., Zhao, M. & Knutson, T. R. Idealized aquaplanet simulations of tropical cyclone activity: significance of temperature gradients, Hadley circulation, and zonal asymmetry. J. Atmos. Sci. 78, 877–902 (2021).
Kiehl, J. T., Zarzycki, C. M., Shields, C. A. & Rothstein, M. V. Simulated changes to tropical cyclones across the Paleocene–Eocene Thermal Maximum (PETM) boundary. Paleogeogr. Paleoclimatol. Palaeoecol. 572, 110421 (2021).
Yang, G.-Y., Methven, J., Woolnough, S., Hodges, K. & Hoskins, B. Linking African easterly wave activity with equatorial waves and the influence of Rossby waves from the Southern Hemisphere. J. Atmos. Sci. 75, 1783–1809 (2018).
Russell, J. O., Aiyyer, A., White, J. D. & Hannah, W. Revisiting the connection between African easterly waves and Atlantic tropical cyclogenesis. Geophys. Res. Lett. 44, 587–595 (2017).
Wu, L. & Takahashi, M. Contributions of tropical waves to tropical cyclone genesis over the western North Pacific. Clim. Dyn. 50, 4635–4649 (2018).
Thorncroft, C. D. & Hodges, K. I. 2001: African easterly wave variability and its relationship to Atlantic tropical cyclone activity. J. Climate 14, 1166–1179 (2001).
Patricola, C. M., Saravanan, R. & Chang, P. The response of Atlantic tropical cyclones to suppression of African easterly waves. Geophys. Res. Lett. 45, 471–479 (2018).
Sardeshmukh, P. D. & Hoskins, B. J. The generation of global rotational flow by steady idealised tropical divergence. J. Atmos. Sci. 45, 1228–1251 (1988).
Tang, B. H. & Neelin, D. J. ENSO influence on Atlantic hurricanes via tropospheric warming. Geophys. Res. Lett. 31, L24204 (2004).
Vecchi, G. A. & Soden, B. J. Effect of remote sea surface temperature change on tropical cyclone potential intensity. Nature 450, 1066–1070 (2007).
Yan, Q., Korty, R., Zhang, Z. & Wang, H. Evolution of tropical cyclone genesis regions during the Cenozoic era. Nat. Commun. 10, 3076 (2019).
Anagnostou, E. et al. Changing atmospheric CO2 concentration was the primary driver of early Cenozoic climate. Nature 533, 380–384 (2016).
Evans, D. et al. Eocene greenhouse climate revealed by coupled clumped isotope-Mg/Ca thermometry. Proc. Natl Acad. Sci. USA 115, 1174–1179 (2018).
Cramwinckel, M. J. et al. Synchronous tropical and polar temperature evolution in the Eocene. Nature 559, 382–386 (2018).
Van Dijk, J. et al. Spatial pattern of super-greenhouse warmth controlled by elevated specific humidity. Nat. Geosci. 13, 739–744 (2020).
Evans, D., Wade, B. S., Henehan, M., Erez, J. & Muller, W. Revisiting carbonate chemistry controls on planktic foraminifera Mg/Ca: implications for sea surface temperature and hydrology shifts over the Paleocene–Eocene Thermal Maximum and Eocene–Oligocene transition. Clim. Past 12, 819–835 (2016).
Frieling, J. et al. Extreme warmth and heat-stressed plankton in the tropics during the Paleocene–Eocene Thermal Maximum. Sci. Adv. 3, e1600891 (2017).
Huber, M. & Caballero, R. The early Eocene equable climate problem. Clim. Past 7, 603–633 (2011).
Carmichael, M. J. et al. A model–model and data–model comparison for the early Eocene hydrological. Clim. Past 12, 455–481 (2016).
Baatsen, M. et al. The middle to late Eocene greenhouse climate modelled using the CESM 1.0.5. Clim. Past 16, 2573–2597 (2020).
Lunt, D. J. et al. DeepMIP: model intercomparison of early Eocene climate optimum (EECO) large-scale climate features and comparison with proxy data. Clim. Past 17, 203–227 (2021).
Fedorov, A. V., Brierley, C. M. & Emanuel, K. E. Tropical cyclones and permanent El Niño in the early Pliocene epoch. Nature 463, 1066–1070 (2010).
Martínez-Botí, M. A. et al. Plio-Pleistocene climate sensitivity evaluated using high-resolution CO2 records. Nature 518, 49–54 (2015).
Fedorov, A. V. et al. Patterns and mechanisms of early Pliocene warmth. Nature 496, 43–49 (2013).
Abell, J. T., Winckler, G., Anderson, R. F. & Herbert, T. D. Poleward and weakened westerlies during Pliocene warmth. Nature 589, 70–74 (2021).
Brierley, C. M. et al. Greatly expanded tropical warm pool and weakened Hadley circulation in the early Pliocene. Science 323, 1714–1718 (2009).
Yan, Q. et al. Enhanced intensity of global tropical cyclones during the mid‐Pliocene warm period. Proc. Natl Acad. Sci. USA 113, 12963–12967 (2016).
Haywood, A. M. et al. The Pliocene Model Intercomparison Project Phase 2: large-scale climate features and climate sensitivity. Clim. Past 16, 2095–2123 (2020).
Haug, G. H., Sigman, D. M., Tiedemann, R., Pedersen, T. F. & Sarnthein, M. Onset of permanent stratification in the subarctic Pacific Ocean. Nature 401, 779–782 (1999).
Hobgood, J. S. & Cerveny, R. S. Ice-age hurricanes and tropical storms. Nature 333, 243–245 (1988).
Yoo, J., Galewsky, J., Camargo, S. J., Korty, R. & Zamora, R. Dynamical downscaling of tropical cyclones from CCSM4 simulations of the Last Glacial Maximum. JAMES 8, 1229–1247 (2016).
Lawton, Q. A., Korty, R. L. & Zamora, R. A. Tropical cyclones downscaled from simulations of the Last Glacial Maximum. J. Climate 34, 659–674 (2021).
Harrison, S. P. et al. Climate model benchmarking with glacial and mid-Holocene climates. Clim. Dyn. 43, 671–688 (2014).
Harrison, S. P. et al. Evaluations of CMIP5 palaeo-simulations to improve climate projections. Nat. Clim. Change 5, 735–743 (2015).
Yan, Q. & Zhang, Z. Dominating roles of ice sheets and insolation in variation of tropical cyclone genesis potential over the North Atlantic during the last 21,000 years. Geophys. Res. Lett. 44, 10624–10632 (2017).
Boos, W. R. & Korty, R. L. Regional energy budget control of the intertropical convergence zone and application to mid-Holocene rainfall. Nat. Geosci. 9, 892–897 (2016).
Adam, O., Schneider, T., Enzel, Y. & Quade, J. Both differential and equatorial heating contributed to African monsoon variations during the mid-Holocene. Earth Planet. Sci. Lett. 522, 20–29 (2019).
Lamy, F. et al. Precession modulation of the South Pacific westerly wind belt over the past million years. Proc. Natl Acad. Sci. USA 116, 23455–23460 (2019).
Routson, C. et al. Mid-latitude net precipitation decreased with Arctic warming during the Holocene. Nature 568, 83–87 (2019).
Henry, L. G. et al. North Atlantic Ocean circulation and abrupt climate change during the last glaciation. Science 353, 470–474 (2016).
McGee, D., Moreno-Chamarro, E., Marshall, J. & Galbraith, E. D. Western US lake expansions during Heinrich stadials linked to Pacific Hadley circulation. Sci. Adv. 4, eaav0118 (2018).
Yang, Y. et al. Latitudinal response of storm activity to abrupt climate change during the last 6,500 years. Geophys. Res. Lett. 47, e2020GL089859 (2020).
McGee, D., Donohoe, A., Marshall, J. & Ferreira, D. Changes in ITCZ location and cross-equatorial heat transport at the Last Glacial Maximum, Heinrich Stadial 1, and the mid-Holocene. Earth Planet. Sci. Lett. 390, 69–79 (2014).
Pausata, F. S. R. et al. Tropical cyclone activity enhanced by Sahara greening and reduced dust emissions during the African Humid Period. Proc. Natl Acad. Sci 114, 6221–6226 (2017).
Dandoy, S. et al. Atlantic hurricane response to Saharan greening and reduced dust emissions during the mid-Holocene. Clim. Past 17, 675–701 (2021).
Korty, R. L., Camargo, S. J. & Galewsky, J. Variations in tropical cyclone genesis factors in simulations of the Holocene epoch. J. Climate 25, 8196–8211 (2012).
Evans, S., Dawson, E. & Ginoux, P. Linear relation between shifting ITCZ and dust hemispheric asymmetry. Geophys. Res. Lett. 47, e2020GL090499 (2020).
Yan, Q., Korty, R. & Zhang, Z. Tropical cyclone genesis factors in a simulation of the last two millennia: results from the Community Earth System Model. J. Climate 28, 7182–7202 (2015).
Baldini, L. M. et al. Persistent northward North Atlantic tropical cyclone track migration over the past five centuries. Sci. Rep. 6, 37522 (2016).
Donnelly, J. P. et al. Climate forcing of unprecedented intense‐hurricane activity in the last 2000 years. Earth’s Future 3, 49–65 (2015).
Mann, M. E., Woodruff, J. D., Donnelly, J. P. & Zhang, Z. Atlantic hurricanes and climate over the past 1,500 years. Nature 460, 880–883 (2009).
Bramante, J. F. et al. Increased typhoon activity in the Pacific deep tropics driven by Little Ice Age circulation changes. Nat. Geosci. 13, 806–811 (2020).
Rustic, G. T., Koutavas, A., Marchitto, T. M. & Linsley, B. K. Dynamical excitation of the tropical Pacific Ocean and ENSO variability by Little Ice Age cooling. Science 350, 1537–1541 (2015).
Altman, J. et al. Poleward migration of the destructive effects of tropical cyclones during the 20th century. Proc. Natl Acad. Sci. USA 115, 11543–11548 (2018).
Donnelly, J. P. & Woodruff, J. D. Intense hurricane activity over the past 5,000 years controlled by El Niño and the West African monsoon. Nature 447, 465–468 (2007).
Hernandez, A. et al. Modes of climate variability: synthesis and review of proxy-based reconstructions through the Holocene. Earth Sci. Rev. 209, 103286 (2020).
Van Hengstum, P. J. et al. The intertropical convergence zone modulates intense hurricane strikes on the western North Atlantic margin. Sci. Rep. 6, 21728 (2016).
Liu, K.-B. & Fearn, M. L. Reconstruction of prehistoric landfall frequencies of catastrophic hurricanes in northwestern Florida from lake sediment records. Quat. Res. 54, 238–245 (2000).
Liu, K.-B. & Fearn, M. L. Lake-sediment record of late Holocene hurricane activities from coastal Alabama. Geology 21, 793–796 (1993).
Wallace, E. J., Coats, S., Emanuel, K. & Donnelly, J. P. Centennial-scale shifts in storm frequency captured in paleohurricane records from the Bahamas arise predominately from random variability. Geophys. Res. Lett. 47, e2020GL091145 (2020).
Wallace, E. J. et al. Intense hurricane activity over the past 1500 years at South Andros Island, The Bahamas. Paleooceanogr. Paleoclimatol. 34, 1761–1783 (2019).
Kossin, J. P., Emanuel, K. & Vecchi, G. A. The poleward migration of the location of tropical cyclone maximum intensity. Nature 509, 349–352 (2014).
Daloz, A. S. & Camargo, S. J. Is the poleward migration of tropical cyclone maximum intensity associated with a poleward migration of tropical cyclone genesis? Clim. Dyn. 50, 705–715 (2018).
Studholme, J. & Gulev, S. Concurrent changes to Hadley circulation and the meridional distribution of tropical cyclones. J. Climate 31, 4367–4389 (2018).
Hodges, K., Cobb, A. & Vidale, P. L. How well are tropical cyclones represented in reanalysis datasets. J. Climate 30, 5243–5264 (2017).
Wang, C., Wang, L., Wang, X., Wang, D. & Wu, L. North–South variations of tropical storm genesis locations in the Western Hemisphere. Geophys. Res. Lett. 43, 11367–11374 (2016).
Sharmila, S. & Walsh, K. J. E. Recent poleward shift of tropical cyclone formation linked to Hadley cell expansion. Nat. Clim. Change 8, 730–736 (2018).
Sun, Y. et al. Impact of ocean warming on tropical cyclone size and its destructiveness. Sci. Rep. 7, 8154 (2017).
Zhan, R. & Wang, Y. Weak tropical cyclones dominate the poleward migration of the annual mean location of lifetime maximum intensity of northwest Pacific tropical cyclones since 1980. J. Climate 30, 6873–6882 (2017).
Feng, X., Klingaman, N. P. & Hodges, K. I. Poleward migration of western North Pacific tropical cyclones related to changes in cyclone seasonality. Nat. Commun. 12, 6210 (2021).
Mokhov, I. I., Makarova, M. E. & Poroshenko, A. G. Tropical cyclones and their transformation into extratropical: estimates of the half-century trends. Phys. Atmos. 493, 592–597 (2020).
Kossin, J. P., Emanuel, K. & Camargo, S. J. Past and projected changes in western North Pacific tropical cyclone exposure. J. Climate 29, 5725–5739 (2016).
Song, J. & Klotzbach, P. J. What has controlled the poleward migration of annual averaged location of tropical cyclone lifetime maximum intensity over the western North Pacific since 1961? Geophys. Res. Lett. 45, 1148–1156 (2018).
Vecchi, G. A. & Soden, B. J. Increased tropical Atlantic wind shear in model projections of global warming. Geophys. Res. Lett. 34, L08702 (2007).
Bell, S. S., Chand, S. S. & Turville, C. Projected changes in ENSO-driven regional tropical cyclone tracks. Clim. Dyn. 54, 2533–2559 (2020).
Zhang, L. & Karnauskas, K. B. The role of tropical interbasin SST gradients in forcing Walker circulation trends. J. Climate 30, 499–508 (2017).
Hu, S. & Fedorov, A. V. Cross-equatorial winds control El Niño diversity and change. Nat. Clim. Change 8, 798–802 (2018).
Heade, U. K. & Fedorov, A, V. Eastern equatorial Pacific warming delayed by aerosols and thermostat response to CO2 increase. Nat. Clim. Change 11, 696–703 (2021).
Zhang, W. et al. Dominant role of Atlantic multidecadal oscillation in the recent decadal changes in western North Pacific tropical cyclone activity. Geophys. Res. Lett. 45, 354–362 (2018).
Zhao, B. & Fedorov, A. The seesaw response of the intertropical and South Pacific convergence zones to hemispherically asymmetric thermal forcing. Clim. Dyn. 54, 1639–1653 (2020).
Retsch, M. H., Mauritsen, T. & Hohnegger, C. Climate change feedbacks in aquaplanet experiments with explicit parameterised convection for horizontal resolutions of 2,525 up to 5 km. J. Adv. Model. Earth Syst. 11, 2070–2088 (2019).
Merlis, T. M., Zhao, M. & Held, I. M. The sensitivity of hurricane frequency to ITCZ changes and radiatively forced warming in aquaplanet simulations. Geophys. Res. Lett. 40, 4109–4114 (2013).
Walsh, K. J. E. et al. Real world and tropical cyclone world. Part II: sensitivity of tropical cyclone formation to uniform and meridionally varying sea surface temperatures under aquaplanet conditions. J. Climate 33, 1473–1486 (2020).
Emanuel, K., Sundararajan, R. & Williams, J. Hurricanes and global warming: results from downscaling IPCC AR4 simulations. Bull. Am. Meteorol. Soc. 89, 347–368 (2008).
Bell, R., Strachan, J., Vidale, P. L., Hodges, K. & Roberts, M. Response of tropical cyclones to idealized climate change experiments in a global high-resolution coupled general circulation model. J. Climate 26, 7966–7980 (2013).
Murakami, H., Delworth, T. L., Cooke, W. F., Zhao, M. & Xiang, B. Detected climatic change in global distribution of tropical cyclones. Proc. Natl Acad. Sci. USA 117, 10706–10714 (2020).
Bell, S. S. et al. Western North Pacific tropical cyclone tracks in CMIP5 models: statistical assessment using a model-independent detection and tracking scheme. J. Climate 32, 7191–7208 (2019).
Bell, S. S. et al. Projections of southern hemisphere tropical cyclone track density using CMIP5 models. Clim. Dyn. 52, 6065–6079 (2019).
Tang, B. & Camargo, S. J. Environmental control of tropical cyclones in CMIP5: a ventilation perspective. JAMES 6, 115–128 (2014).
Li, T. et al. Global warming shifts Pacific tropical cyclone location. Geophys. Res. Lett. 37, L21804 (2010).
Chu, J.-E. et al. Reduced tropical cyclone densities and ocean effects due to anthropogenic greenhouse warming. Sci. Adv. 6, eabd5109 (2020).
Murakami, H., Wang, B., Li, T. & Kitoh, A. Projected increase in tropical cyclones near Hawaii. Nat. Clim. Change 3, 749–754 (2013).
Nakamura, J. et al. Western North Pacific tropical cyclone model tracks in present and future climates. J. Geophys. Res. Atmos. 122, 9721–9744 (2017).
Liu, M., Vecchi, G. A., Smith, J. A. & Murakami, H. The present-day simulation and twenty-first century projection of the climatology of extratropical transition in the North Atlantic. J. Climate 30, 2739–2756 (2017).
Michaelis, A. C. & Lackmann, G. M. Climatological changes in the extratropical transition of tropical cyclones in high-resolution global simulations. J. Climate 32, 8733–8753 (2019).
Jung, C. & Lackmann, G. M. The response of extratropical transition of tropical cyclones to climate change: quasi-idealized numerical experiments. J. Climate 34, 4361–4381 (2021).
Zhang, G., Murakami, H., Knutson, T. R., Mizuta, R. & Yoshida, K. Tropical cyclone motion in a changing climate. Sci. Adv. 6, eaaz7610 (2020).
Camargo, S. Global and regional aspects of tropical cyclone activity in CMIP5 models. J. Climate 26, 9880–9902 (2013).
Wang, C., Zhang, L., Lee, S.-K., Wu, L. & Mechoso, C. R. A global perspective on CMIP5 climate model biases. Nat. Clim. Change 4, 201–205 (2014).
Byrne, M. P., Pendergrass, A. G., Rapp, A. D. & Wodzicki, K. R. Response of the Intertropical Convergence Zone to climate change: location, width, and strength. Curr. Clim. Change Rep. 4, 355–370 (2018).
Staten, P. W., Lu, J., Grise, K. M., Davis, S. M. & Birner, T. Re-examining tropical expansion. Nat. Clim. Change 8, 768–775 (2018).
Shaw, T. A. Mechanisms of future predicted changes in the zonal mean mid-latitude circulation. Curr. Clim. Change Rep. 5, 345–357 (2019).
Maher, P., Kelleher, M. E., Sansom, P. G. & Methven, J. Is the subtropical jet shifting poleward? Clim. Dyn. 54, 1741–1759 (2020).
Salmon, R., Held, I. M., Fields, J. & Thiffeault, J.-L. The General Circulation of the Atmosphere: 2000 Program in Geophysical Fluid Dynamics (Woods Hole Oceanographic Institute, 2001).
Davis, N. & Birner, T. On the discrepancies in tropical belt expansion between reanalyses and climate models and among tropical belt width metrics. J. Climate 30, 1211–1231 (2017).
Menzel, M. E., Waugh, D. & Grise, K. Disconnect between Hadley cell and subtropical jet variability and response to increased CO2. Geophys. Res. Lett. 46, 7045–7053 (2019).
Waugh, D. W. et al. Revisiting the relationship among metrics of tropical expansion. J. Climate 31, 7565–7581 (2018).
Chemke, R. & Polvani, L. M. Exploiting the abrupt 4 × CO2 scenario to elucidate tropical expansion mechanisms. J. Climate 32, 859–875 (2019).
Raghavendra, A., Roundy, P. E. & Zhou, L. Trends in tropical wave activity from the 1980s to 2016. J. Climate 32, 1661–1676 (2019).
Emanuel, K. The behaviour of a simple hurricane model using a convective scheme based on subcloud layer entropy equilibrium. J. Atmos. Sci. 52, 3960–3968 (1995).
Held, I. M. & Soden, B. J. Robust responses of the hydrological cycle to global warming. J. Climate 19, 5686–5699 (2006).
Chavas, D. R. & Reed, K. A. Dynamical aquaplanet experiments with uniform thermal forcing: system dynamics and implications for tropical cyclone genesis and size. J. Atmos. Sci. 76, 2257–2274 (2019).
Bembenek, E., Merlis, T. M. & Straub, D. N. Influence of latitude and moisture effects on the barotropic instability of an idealised ITCZ. J. Atmos. Sci. (in the press); https://journals.ametsoc.org/view/journals/atsc/aop/JAS-D-20-0346.1/JAS-D-20-0346.1.xml
Ferreira, R. N. & Schubert, W. H. Barotropic aspects of ITCZ breakdown. J. Atmos. Sci. 54, 261–285 (1997).
Klotzbach, P. The Madden–Julian oscillation’s impacts on worldwide tropical cyclone activity. J. Climate 27, 2317–2330 (2014).
Fine, C. M., Johnson, R. H., Ciesielski, P. E. & Taft, R. K. The role of topographically induced vortices in tropical cyclone formation over the Indian Ocean. Mon. Weather Rev 144, 4827–4847 (2016).
Rios-Berrios, R., Medeiros, B. & Bryan, G. H. Mean climate and tropical rainfall variability in aquaplanet simulations using the model for prediction across scales—atmosphere. JAMES 12, e2020MS002102 (2020).
Sriver, R. L. & Huber, M. Observational evidence for an ocean heat pump induced by tropical cyclones. Nature 44, 577–580 (2007).
Korty, R. L., Emanuel, K. A. & Scott, J. R. Tropical cyclone-induced upper-ocean mixing and climate: application to equable climates. J. Clim. 21, 638–654 (2008).
Huang, A., Li, H., Sriver, R. L., Fedorov, A. V. & Brierley, C. M. Regional variations in the ocean response to tropical cyclones: ocean mixing versus low cloud suppression. Geophys. Res. Lett. 44, 1947–1955 (2017).
O’Neill, B. C. et al. The scenario model intercomparison project (ScenarioMIP) for CMIP6. Geosci. Model Dev. 9, 3461–3482 (2016).
Fields from the Visible Infrared Imaging Radiometer Suite (VIRRS) aboard the Suomi National Polar-orbiting Partnership (NPP) Satellite (EOSDIS, accessed 21 September 2021); https://worldview.earthdata.nasa.gov/
Bony, S. et al. Cloud, circulation, and climate sensitivity. Nat. Geosci. 8, 261–268 (2015).
Bell, B., Hersbach, H., Berrisford, P., Dahlgren, P., Horányi, A., Muñoz Sabater, J., Nicolas, J., Radu, R., Schepers, D., Simmons, A., Soci, C., Thépaut, J-N. ERA5 Monthly Averaged Data on Pressure Levels from 1950 to 1978 (Preliminary Version) (Copernicus Climate Change Service (C3S) Climate Data Store (CDS, 2020); https://cds.climate.copernicus-climate.eu/cdsapp#!/dataset/reanalysis-era5-pressure-levels-monthly-means-preliminary-back-extension?tab=overview
Knapp, K. R., Diamond, H. J., Kossin, J. P., Kruk, M. C. & Schreck, C. J. International Best Track Archive for Climate Stewardship (IBTrACS) Project, Version 04r00 (NOAA National Centers for Environmental Information; accessed 21 May 2021); https://www.ncdc.noaa.gov/ibtracs/index.php?name=ib-v4-access
Dix, M. et al. CSIRO-ARCCSS ACCESS-CM2 Model Output Prepared for CMIP6 CMIP (Earth System Grid Federation, 2019); https://doi.org/10.22033/ESGF/CMIP6.4271
Ziehn, T. et al. CSIRO ACCESS-ESM1.5 Model Output Prepared for CMIP6 C4MIP (Earth System Grid Federation, 2019); https://doi.org/10.22033/ESGF/CMIP6.2286
Zhang, F. et al. BCC BCC-CSM2MR Model Output Prepared for CMIP6 C4MIP (Earth System Grid Federation, 2019); https://doi.org/10.22033/ESGF/CMIP6.1723
Rong, X. CAMS CAMS_CSM1.0 Model Output Prepared for CMIP6 CMIP (Earth System Grid Federation, 2019); https://doi.org/10.22033/ESGF/CMIP6.1399
Danabasoglu, G. NCAR CESM2-WACCM Model Output Prepared for CMIP6 AerChemMIP (Earth System Grid Federation, 2019); https://doi.org/10.22033/ESGF/CMIP6.10023
Huang, W. THU CIESM Model Output Prepared for CMIP6 CMIP (Earth System Grid Federation, 2019); https://doi.org/10.22033/ESGF/CMIP6.1352
Swart, N. C. et al. CCCma CanESM5 Model Output Prepared for CMIP6 C4MIP (Earth System Grid Federation, 2019); https://doi.org/10.22033/ESGF/CMIP6.1301
EC-Earth Consortium (EC-Earth) EC-Earth-Consortium EC-Earth3-Veg Model Output Prepared for CMIP6 CMIP (Earth System Grid Federation, 2019): https://doi.org/10.22033/ESGF/CMIP6.642
Silvers, L. et al. NOAA-GFDL GFDL-CM4 Model Output Prepared for CMIP6 CFMIP (Earth System Grid Federation, 2018); https://doi.org/10.22033/ESGF/CMIP6.1641
Horowitz, L. W. et al. NOAA-GFDL GFDL-ESM4 Model Output Prepared for CMIP6 AerChemMIP (Earth System Grid Federation, 2018); https://doi.org/10.22033/ESGF/CMIP6.1404
Volodin, E. et al. INM INM-CM4-8 Model Output Prepared for CMIP6 CMIP (Earth System Grid Federation, 2019); https://doi.org/10.22033/ESGF/CMIP6.1422
Volodin, E. et al. INM INM-CM5-0 Model Output Prepared for CMIP6 CMIP (Earth System Grid Federation, 2019); https://doi.org/10.22033/ESGF/CMIP6.1423
Boucher, O. et al. IPSL IPSL-CM6A-LR Model Output Prepared for CMIP6 C4MIP (Earth System Grid Federation, 2018); https://doi.org/10.22033/ESGF/CMIP6.1521
Takemura, T. MIROC MIROC6 Model Output Prepared for CMIP6 AerChemMIP (Earth System Grid Federation, 2019); https://doi.org/10.22033/ESGF/CMIP6.9121
Jungclaus, J. et al. MPI-M MPIESM1.2-HR Model Output Prepared for CMIP6 CMIP (Earth System Grid Federation, 2019); https://doi.org/10.22033/ESGF/CMIP6.741
Yukimoto, S. et al. MRI MRI-ESM2.0 Model Output Prepared for CMIP6 AerChemMIP (Earth System Grid Federation, 2019); https://doi.org/10.22033/ESGF/CMIP6.633
Seland, Ø. et al. NCC NorESM2-LM Model Output Prepared for CMIP6 CMIP (Earth System Grid Federation, 2019); https://doi.org/10.22033/ESGF/CMIP6.502
Emanuel, K. An air–sea interaction theory for tropical cyclone. Part I: steady state maintenance. J. Atmos. Sci. 43, 585–605 (1986).
Emanuel, K. The dependence of hurricane intensity on climate. Nature 326, 483–485 (1987).
Kossin, J. P., Knapp, K. R., Olander, T. L. & Velden, C. S. Global increase in major tropical cyclone exceedance probability over the past four decades. Proc. Ntnl Acad. Sci USA 117, 11975–11980 (2020).
Reyes, A. R. and Yang, D. Spontaneous cyclogenesis without radiative and surface flux feedbacks. J. Atmos. Sci. (in the press); https://journals.ametsoc.org/view/journals/atsc/aop/JAS-D-21-0098.1/JAS-D-21-0098.1.xml
Tang, B. & Emanuel, K. A ventilation index for tropical cyclones. Bull. Am. Meteorol. Soc. 12, 1901–1912 (2012).
Holland, G. J. Tropical cyclone motion: environmental interaction plus a beta effect. J. Atmos. Sci. 40, 328–342 (1983).
Smith, R. B. A hurricane beta-drift law. J. Atmos. Sci. 50, 3213–3215 (1993).
Arakawa, A. & Schubert, W. H. Interaction of a cumulus cloud ensemble with the large-scale environment, part I. J. Atmos. Sci. 31, 674–701 (1974).
Sobel, A. H. & Bretherton, C. S. Modeling tropical precipitation in a single column. J. Climate 13, 4378–4392 (2000).
Emanuel, K. Inferences from simple models of slow, convective coupled processes. J. Atmos. Sci. 76, 195–208 (2019).
Back, L. E. & Bretherton, C. S. On the relationship between SST gradients, boundary layer winds, and convergence over the tropical oceans. J. Climate 22, 4182–4196 (2009).
Gilford, D. M. pyPI (v1.3): Tropical cyclone potential intensity calculations in python. Geosci. Model Dev. 14, 2351–2369 (2021).
Bister, M. & Emanuel, K. A. Low frequency variability of tropical cyclone potential intensity. 1. Interannual and interdecadal variability. J. Geophys. Res. Atmos. 107, 4801 (2002).
Emanuel, K. Tropical cyclones. Ann. Rev. Earth Planet. Sci. 31, 75–104 (2003).
Garner, S. The relationship between hurricane potential intensity and CAPE. J. Atmos. Sci. 72, 141–163 (2015).
Emanuel, K. Tropical cyclone activity downscaled from NOAA-CIRES reanalysis, 1908–1958. JAMES https://agupubs.onlinelibrary.wiley.com/doi/full/10.3894/JAMES.2010.2.1 (2010).
Acknowledgements
We thank M. Byrne (at the Universities of St Andrews and Oxford) and G. Vecchi (at Princeton University) for helpful discussions. We thank C. Zarzycki (at Penn State University) for providing the PETM data and N. Henderson (at Columbia University) for assistance with CMIP6 data access. We recognize and thank NASA, NOAA, ECMWF and the CMIP6 group of the World Climate Research Programme for making their data publicly and freely available. J.S. and A.F. were supported in part by grants from NASA (80NSSC21K0558), NOAA (NA20OAR4310377) and the ARCHANGE project of the ‘Make our planet great again’ programme (ANR-18-MPGA-0001, the Government of the French Republic). S.G. benefited from the Russian Science Foundation grant no. 20-17-00139 and from the Agreement no. 14.W0331.0006 with the Russian Ministry of Science and Higher Education. K.E. is supported by the US National Science Foundation (ICER-1854929). K.H. acknowledges funding from the UK Natural Environment Research Council.
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Extended data
Extended Data Fig. 1 The development and intensification of Hurricane Goni (2020, peak intensity 87 m s–1).
Poorly organised convection over the west Pacific warm pool aggregates over the course of three days between October 22th and 24th (a b c), and then acquires coherent rotation over the subsequent three days (25th to 27th, d e f) while propagating westward away from its seeding region. Between Oct 28th and 30th, Goni developed into a fully-fledged TC (g h i) and made the strongest recorded landfall event when reaching the Philippines on Oct 31st. Data from ref. 154.
Extended Data Fig. 2 The extratropical transition of Hurricane Paulette and the simultaneous tropical transition of Subtropical Storm Alpha.
Hurricane Paulette, which originally developed out of an easterly wave on Sept 7th, reached its peak intensity on Sept 14th (47 m s-1) and then underwent extratropical transition to become an extratropical cyclone on Sept 17th. It then moved south and underwent tropical transition to intensify as a tropical cyclone on Sept 22. Subtropical Storm Alpha (peak intensity 22 m s-1) was the first ever tropical cyclone to make landfall in Portugal and the eastern-most genesis event in the North Atlantic record. At the same time as these events, a rare medicane developed, named Cyclone Ianos (peak intensity 34 m s-1), which made landfall in Greece, seen in Extended Data Fig. 3. Data from ref. 154.
Extended Data Fig. 3 The North Atlantic on September 16th, 2020.
Hurricane Sally (peak intensity 47 m s-1) can be seen making landfall over Alabama in the US, while Hurricane Teddy (peak intensity 63 m s-1) was intensifying over the tropical North Atlantic and to its northeast, Tropical Storm Vicky is being weakened by strong environmental wind shear. Hurricane Paulette can be seen midway through its extratropical transition of the coast of Nova Scotia and the extratropical cutoff low that became Subtropical Storm Alpha can be seen off the coast of Portugal. In the Mediterranean, the rare Medicane Ianos can be seen south of Italy. Tropical Storms Wilfred and Beta later developed out of the organising convection visible off equatorial Africa and in the Gulf of Mexico respectively. Data from ref. 154.
Extended Data Fig. 4 Planetary-scale atmospheric circulation, precipitation, and TC activity during the simulated Paleocene-Eocene Thermal Maximum (PETM) and the modern period.
a, c First tracked positions and b, d TC tracks for PETM and modern climates. The green overlay in b and d show the 6.5 mm/day climatological TC season precipitation contours. PETM data is replotted from simulations in ref. 34 and modern data is from IBTrACs (methods). Red and blue dots are as in Fig. 2, blue for 1980-1999 and red for 2000-2019. Note that the lysis definition marking the end of the tracks between the PETM tracking and modern data are not easily reconcilable. The suppression of the low latitude TCs in the PETM is related to the splitting of the summertime subtropical and eddy-driven jets (Extended Data Fig. 5 and Fig. 5).
Extended Data Fig. 6 Surface precipitation, tropospheric winds and recent linear trends from ERA5.
a, c, e The 1980-2019 precipitation, and upper (300 hPa) and lower level (850 hPa) wind climatology for the tropical cyclone season (July through September for the northern hemisphere, January through March for the southern hemisphere). b, d, f The linear trends in these climatologies over the same period. Only trends for which p values are < 0.05 are plotted. The contour lines in b, d, and f are used to visualise the ITCZ (6.5 mm day-1), and the jet stream locations (5 m s-1 in the lower troposphere in d and 20 m s-1 in the upper troposphere in f). Data from ERA5156.
Extended Data Fig. 7 As in Fig. 6 but for the Southern Hemisphere during TC season there: January-February-March.
Note the wide range in projections for the atmosphere only (‘amip’) simulations in blue, highlighting the important role of atmosphere-ocean coupling in tropical climate. The largest contribution to this ‘southern ITCZ’ comes from the South Pacific Convergence Zone (SPCZ). Also note that these results may be affected by the models’ double-ITCZ problem, which exaggerates the magnitude of the tropical convection to the south of the equator. Data from refs. 158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174.
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Studholme, J., Fedorov, A.V., Gulev, S.K. et al. Poleward expansion of tropical cyclone latitudes in warming climates. Nat. Geosci. 15, 14–28 (2022). https://doi.org/10.1038/s41561-021-00859-1
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DOI: https://doi.org/10.1038/s41561-021-00859-1
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