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Moon, I.-J., Kim, S.-H. & Chan, J. C. L. Climate change and tropical cyclone trend. Nature https://doi.org/10.1038/s41586-019-1222-3 (2019).
Lanzante, J. R. Uncertainties in tropical-cyclone translation speed. Nature https://doi.org/10.1038/s41586-019-1223-2 (2019).
Kossin, J. P. A global slowdown of tropical cyclone translation speed. Nature 558, 104–108 (2018); Author Correction Nature 564, E11–E16 (2018).
Mann, M. E. et al. Influence of anthropogenic climate change on planetary wave resonance and extreme weather events. Sci. Rep. 7, 19831 (2017).
Held, I. M. & Soden, B. J. Robust responses of the hydrological cycle to global warming. J. Clim. 19, 5686–5699 (2006).
He, J. & Soden, B. J. Anthropogenic weakening of the tropical circulation: the relative roles of direct CO2 forcing and sea surface temperature change. J. Clim. 28, 8728–8742 (2015).
Vecchi, G. A. & Soden, B. J. Global warming and the weakening of the tropical circulation. J. Clim. 20, 4316–4340 (2007).
Vecchi, G. A. et al. Weakening of tropical Pacific atmospheric circulation due to anthropogenic forcing. Nature 441, 73–76 (2006).
Grise, K. M. & Polvani, L. M. Understanding the timescales of the tropospheric circulation response to abrupt CO2 forcing in the Southern Hemisphere: seasonality and the role of the stratosphere. J. Clim. 30, 8497–8515 (2017).
Plesca, E., Grützun, V. & Buehler, S. A. How robust is the weakening of the Pacific Walker circulation in CMIP5 idealized transient climate simulations? J. Clim. 31, 81–97 (2018).
Plesca, E., Buehler, S. A. & Grützun, V. The fast response of the tropical circulation to CO2 forcing. J. Clim. 31, 9903–9920 (2018).
Coumou, D., Di Capua, G., Vavrus, S., Wang, L. & Wang, S. The influence of Arctic amplification on mid-latitude summer circulation. Nat. Commun. 9, 2959 (2018).
Coumou, D., Lehmann, J. & Beckmann, J. The weakening summer circulation in the Northern Hemisphere mid-latitudes. Science 348, 324–327 (2015).
Kosaka, Y. & Xie, S.-P. Recent global-warming hiatus tied to equatorial Pacific surface cooling. Nature 501, 403–407 (2013).
Kossin, J. P., Olander, T. L. & Knapp, K. R. Trend analysis with a new global record of tropical cyclone intensity. J. Clim. 26, 9960–9976 (2013).
Vecchi, G. A. & Knutson, T. R. Estimating annual numbers of Atlantic hurricanes missing from the HURDAT database (1878–1965) using ship track density. J. Clim. 24, 1736–1746 (2011).
Landsea, C. W., Vecchi, G. A., Bengtsson, L. & Knutson, T. R. Impact of duration thresholds on Atlantic tropical cyclone counts. J. Clim. 23, 2508–2519 (2010).
Landsea, C. W. Counting atlantic tropical cyclones back to 1900. Eos 88, 197–208 (2007).
Klotzbach, P. J., Bowen, S. G., Pielke, R., Jr & Bell, M. Continental U.S. hurricane landfall frequency and associated damage: observations and future risks. Bull. Am. Meteorol. Soc. 99, 1359–1376 (2018).
Landsea, C. W. Comments on “Monitoring and understanding trends in extreme storms: state of knowledge.”. Bull. Am. Meteorol. Soc. 96, 1175–1176 (2015).
Landsea, C. W. Hurricanes and global warming. Nature 438, E11–E12 (2005).
Kossin, J. P. et al. in Climate Science Special Report: Fourth National Climate Assessment (eds Wuebbles, D. J. et al.) Vol. I, 257–276 (U.S. Global Change Research Program, 2017).
Murakami, H. et al. Investigating the influence of anthropogenic forcing and natural variability on the 2014 Hawaiian hurricane season. Bull. Am. Meteorol. Soc. 96, S115–S119 (2015).
Gutmann, E. D. et al. Changes in hurricanes from a 13-yr convection-permitting pseudo–global warming simulation. J. Clim. 31, 3643–3657 (2018).
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Extended data figures and tables
Extended Data Fig. 1 Time series of global annual-mean tropical-cyclone translation speed with inter-basin frequency variability removed.
Bold lines show the low-pass filtered time series and trend. Grey shading shows the 95% confidence bounds of the trend. The slope of the trend line is –0.02 km h–1 yr–1 with a 95% confidence interval of [–0.03, –0.01] and P value of 0.0003. The change over the period represents a 7% slowdown.
Extended Data Fig. 2 Time series of annual-mean tropical-cyclone translation speed over the continental USA (CONUS).
The trend, which is constrained to the reliable period 1900–2017, has a slope of –0.04 km hr–1 yr–1 with a 95% confidence interval of [–0.07, 0.0008] and P value = 0.058. The change over the period represents a 17% slowdown. Grey shading shows the 95% confidence bounds of the trend.
The bold line shows the low-pass filtered time series. There is no trend in the time series.
The bold line shows the low-pass filtered time series. The increasing trend prior to 1900 is due to data collection changes. The increasing trend at the end of the time series is associated with the present active phase in Atlantic tropical-cyclone activity, which is associated with the present warm AMV phase.