Skip to main content

Large-scale environmental controls on the seasonal statistics of rapidly intensifying North Atlantic tropical cyclones

Abstract

This study is concerned with the connections between the large-scale environment and the seasonal occurrence of rapid intensification (RI) of North Atlantic tropical cyclones. Physically-motivated statistical analysis using observations and reanalysis products suggests that for tropical cyclones over the open tropical North Atlantic, the interannual variability of the probability of storms undergoing RI is influenced by seasonal large-scale atmospheric and oceanic variables, but not so for storms over the Gulf of Mexico and western Caribbean Sea. We suggest that this differentiated response is due to the former region exhibiting a strong negative correlation between the seasonal anomalies of vertical wind shear and potential intensity. Differences in the mean climatology and subseasonal variations of the large-scale environment in these regions appear to play an insignificant role in the distinctive seasonal environmental controls on RI. We suggest that the interannual correlation of vertical wind shear and potential intensity is an indicator of seasonal predictability of tropical cyclone activity (including RI) across the tropics .

This is a preview of subscription content, access via your institution.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14

References

  • Barnston AG, Tippett MK, L'Heureux ML, Li S, DeWitt DG (2012) Skill of real-time seasonal ENSO model predictions during 2002–11: Is our capability increasing? Bull Am Meteor Soc 93:631–651

    Google Scholar 

  • Behringer DW, Ji M, Leetmaa A (1998) An improved coupled model for ENSO prediction and implications for ocean initialization. Part I: the ocean data assimilation system. Mon Weather Rev 126:1013–1021

    Google Scholar 

  • Bhatia K, Vecchi G, Murakami H, Underwood S, Kossin J (2018) Projected response of tropical cyclone intensity and intensification in a global climate model. J Clim 31:8281–8303

    Google Scholar 

  • Bhatia KT, Vecchi GA, Knutson TR, Murakami H, Kossin J, Dixon KW, Whitlock CE (2019) Recent increases in tropical cyclone intensification rates. Nat Commun 10:635

    Google Scholar 

  • Bister M, Emanuel KA (1998) Dissipative heating and hurricane intensity. Meteorol Atmos Phys 65:233–240

    Google Scholar 

  • Bister M, Emanuel KA (2002) Low frequency variability of tropical cyclone potential intensity 1. Interannual to interdecadal variability. J Geophys Res Atmos 107: ACL-26

  • Bosart LF, Bracken WE, Molinari J, Velden CS, Black PG (2000) Environmental influences on the rapid intensification of Hurricane Opal (1995) over the Gulf of Mexico. Mon Weather Rev 128:322–352

    Google Scholar 

  • Camargo SJ (2013) Global and regional aspects of tropical cyclone activity in the CMIP5 models. J Clim 26:9880–9902

    Google Scholar 

  • Camargo SJ, Emanuel KA, Sobel AH (2007) Use of a genesis potential index to diagnose ENSO effects on tropical cyclone genesis. J Clim 20:4819–4834

    Google Scholar 

  • Chen X, Wang Y, Zhao K, Wu D (2017) A numerical study on rapid intensification of Typhoon Vicente (2012) in the South China Sea. Part I: Verification of simulation, storm-scale evolution, and environmental contribution. Mon Weather Rev 145:877–898

    Google Scholar 

  • Chiang JC, Vimont DJ (2004) Analogous Pacific and Atlantic meridional modes of tropical atmosphere-ocean variability. J Clim 17:4143–4158

    Google Scholar 

  • DeMaria M, Knaff JA, Sampson C (2007) Evaluation of long-term trends in tropical cyclone intensity forecasts. Meteorol Atmos Phys 97:19–28

    Google Scholar 

  • Elsberry RL (2014) Advances in research and forecasting of tropical cyclones from 1963–2013. Asia-Pac J Atmos Sci 50:3–16

    Google Scholar 

  • Elsberry RL, Lambert TD, Boothe MA (2007) Accuracy of Atlantic and eastern North Pacific tropical cyclone intensity forecast guidance. Weather Forecast 22:747–762

    Google Scholar 

  • Elsner JB (2003) Tracking hurricanes. Bull Am Meteor Soc 84:353–356

    Google Scholar 

  • Elsner JB, Liu KB (2003) Examining the ENSO-typhoon hypothesis. Climate Res 25:43–54

    Google Scholar 

  • Emanuel K (2010) Tropical cyclone activity downscaled from NOAA-CIRES reanalysis, 1908–1958. J Adv Model Earth Syst 2(1)

  • Emanuel K (2017) Will global warming make hurricane forecasting more difficult? Bull Am Meteor Soc 98:495–501

    Google Scholar 

  • Enfield DB, Mayer DA (1997) Tropical Atlantic sea surface temperature variability and its relation to El Niño-Southern Oscillation. J Geophys Res Oceans 102:929–945

    Google Scholar 

  • Ge X, Shi D, Guan L (2018) Monthly variations of tropical cyclone rapid intensification ratio in the western North Pacific. Atmos Sci Lett 19:e814

    Google Scholar 

  • Gray WM (1984) Atlantic seasonal hurricane frequency. Part I: El Niño and 30mb quasi-biennial oscillation influences. Mon Weather Rev 112:1649–1668

    Google Scholar 

  • Hendricks EA, Peng MS, Fu B, Li T (2010) Quantifying environmental control on tropical cyclone intensity change. Mon Weather Rev 138:3243–3271

    Google Scholar 

  • Hurrell JW, Kushnir Y, Ottersen G, Visbeck M (2003) An overview of the North Atlantic Oscillation. N Atl Oscil Clim Signif Environ Impact 134:1–35

    Google Scholar 

  • Jones E, Oliphant E, Peterson P, et al. (2001) SciPy: open source scientific tools for Python

  • Kaplan J, DeMaria M (2003) Large-scale characteristics of rapidly intensifying tropical cyclones in the North Atlantic basin. Weather Forecast 18:1093–1108

    Google Scholar 

  • Kaplan J, DeMaria M, Knaff JA (2010) A revised tropical cyclone rapid intensification index for the Atlantic and eastern North Pacific basins. Weather Forecast 25:220–241. https://doi.org/10.1175/2009WAF2222280.1

    Article  Google Scholar 

  • Klotzbach PJ (2012) El Niño-Southern Oscillation, the Madden-Julian Oscillation and Atlantic basin tropical cyclone rapid intensification. J Geophys Res Atmos. https://doi.org/10.1029/2012JD017714

    Article  Google Scholar 

  • Knapp KR, Kruk MC, Levinson DH, Diamond HJ, Neumann CJ (2010) The international best track archive for climate stewardship (IBTrACS) unifying tropical cyclone data. Bull Am Meteor Soc 91:363–376

    Google Scholar 

  • Knutson TR, Sirutis JJ, Vecchi GA, Garner S, Zhao M, Kim HS, Bender M, Tuleya RE, Held IM, Villarini G (2013) Dynamical downscaling projections of twenty-first-century Atlantic hurricane activity: CMIP3 and CMIP5 model-based scenarios. J Clim 26:6591–6617

    Google Scholar 

  • Kobayashi S, Ota Y, Harada Y, Ebita A, Moriya M, Onoda H, Onogi K, Kamahori H, Kobayashi C, Endo H, Miyaoka K (2015) The JRA-55 reanalysis: General specifications and basic characteristics. J Meteorol Soc Jpn Ser II 93:5–48

    Google Scholar 

  • Kossin JP, Camargo SJ, Sitkowski M (2010) Climate modulation of North Atlantic hurricane tracks. J Clim 23:3057–3076

    Google Scholar 

  • Landsea CW, Franklin JL (2013) Atlantic hurricane database uncertainty and presentation of a new database format. Mon Weather Rev 141:3576–3592

    Google Scholar 

  • Lanzante JR (1996) Resistant, robust and non-parametric techniques for the analysis of climate data: Theory and examples, including applications to historical radiosonde station data. Int J Climatol A J R Meteorol Soc 16:1197–1226

    Google Scholar 

  • Lee CY, Tippett MK, Sobel AH, Camargo SJ (2016) Rapid intensification and the bimodal distribution of tropical cyclone intensity. Nat Commun 7:10625

    Google Scholar 

  • Lin II, Chen CH, Pun IF, Liu WT, Wu CC (2009) Warm ocean anomaly, air sea fluxes, and the rapid intensification of tropical cyclone Nargis (2008). Geophys Res Lett 36:L03817

    Google Scholar 

  • Liu M, Vecchi GA, Smith JA, Murakami H, Gudgel R, Yang X (2018) Towards dynamical seasonal forecast of extratropical transition in the north atlantic. Geophys Res Lett 45:12–602

    Google Scholar 

  • Lloyd ID, Marchok T, Vecchi GA (2011) Diagnostics comparing sea surface temperature feedbacks from operational hurricane forecasts to observations. J Adv Model Earth Syst. https://doi.org/10.1029/2011MS000075

    Article  Google Scholar 

  • Maloney ED, Hartmann DL (2000) Modulation of hurricane activity in the Gulf of Mexico by the Madden–Julian oscillation. Science 287:2002–2004

    Google Scholar 

  • Murakami H, Vecchi GA, Underwood S, Delworth TL, Wittenberg AT, Anderson WG, Chen JH, Gudgel RG, Harris LM, Lin SJ, Zeng F (2015) Simulation and prediction of category 4 and 5 hurricanes in the high-resolution GFDL HiFLOR coupled climate model. J Clim 28:9058–9079

    Google Scholar 

  • Murakami H, Vecchi GA, Villarini G, Delworth TL, Gudgel R, Underwood S, Yang X, Zhang W, Lin SJ (2016a) Seasonal forecasts of major hurricanes and landfalling tropical cyclones using a high-resolution GFDL coupled climate model. J Clim 29:7977–7989

    Google Scholar 

  • Murakami H, Villarini G, Vecchi GA, Zhang W, Gudgel R (2016b) Statistical-dynamical seasonal forecast of North Atlantic and US landfalling tropical cyclones using the high-resolution GFDL FLOR coupled model. Mon Weather Rev 144:2101–2123

    Google Scholar 

  • Ramsay HA, Camargo SJ, Kim D (2012) Cluster analysis of tropical cyclone tracks in the Southern Hemisphere. Clim Dyn 39:897–917

    Google Scholar 

  • Rappaport EN, Franklin JL, Avila LA, Baig SR, Beven JL, Blake ES, Burr CA, Jiing JG, Juckins CA, Knabb RD, Landsea CW (2009) Advances and challenges at the National Hurricane Center. Weather Forecast 24:395–419

    Google Scholar 

  • Rayner NA, Parker DE, Horton EB, Folland CK, Alexander LV, Rowell DP, Kent EC, Kaplan A (2003) Global analyses of sea surface temperature, sea ice, and night marine air temperature since the late nineteenth century. J Geophys Res Atmos. https://doi.org/10.1029/2002JD002670

    Article  Google Scholar 

  • Reynolds RW, Smith TM, Liu C, Chelton DB, Casey KS, Schlax MG (2007) Daily high-resolution-blended analyses for sea surface temperature. J Clim 20:5473–5496

    Google Scholar 

  • Rienecker MM, Suarez MJ, Gelaro R, Todling R, Bacmeister J, Liu E, Bosilovich MG, Schubert SD, Takacs L, Kim GK, Bloom S (2011) MERRA: NASA’s modern-era retrospective analysis for research and applications. J Clim 24:3624–3648

    Google Scholar 

  • Ryan BF, Watterson IG, Evans JL (1992) Tropical cyclone frequencies inferred from Gray's yearly genesis parameter: Validation of GCM tropical climates. Geophys Res Lett 19:1831–1834

    Google Scholar 

  • Seabold S, Perktold J (2010) Statsmodels: econometric and statistical modeling with python. In: Proceedings of the 9th Python in science conference, pp 57–61

  • Shapiro LJ (1987) Month-to-month variability of the Atlantic tropical circulation and its relationship to tropical storm formation. Mon Weather Rev 115:2598–2614

    Google Scholar 

  • Shieh OH, Fiorino M, Kucas ME, Wang B (2013) Extreme rapid intensification of Typhoon Vicente (2012) in the South China Sea. Weather Forecast 28:1578–1587

    Google Scholar 

  • Shu S, Ming J, Chi P (2012) Large-scale characteristics and probability of rapidly intensifying tropical cyclones in the western North Pacific basin. Weather Forecast 27:411–423

    Google Scholar 

  • Smirnov D, Vimont DJ (2011) Variability of the Atlantic Meridional Mode during the Atlantic hurricane season. J Clim 24:1409–1424

    Google Scholar 

  • Sobel AH, Camargo SJ, Hall TM, Lee CY, Tippett MK, Wing AA (2016) Human influence on tropical cyclone intensity. Science 353:242–246

    Google Scholar 

  • Tang B, Emanuel K (2012) A ventilation index for tropical cyclones. Bull Am Meteor Soc 93:1901–1912

    Google Scholar 

  • Truchelut RE, Hart RE, Luthman B (2013) Global identification of previously undetected pre-satellite-era tropical cyclone candidates in NOAA/CIRES Twentieth-Century Reanalysis data. J Appl Meteorol Climatol 52:2243–2259

    Google Scholar 

  • Vecchi GA, Soden BJ (2007) Effect of remote sea surface temperature change on tropical cyclone potential intensity. Nature 450:1066

    Google Scholar 

  • Vecchi GA, Zhao M, Wang H, Villarini G, Rosati A, Kumar A, Held IM, Gudgel R (2011) Statistical-dynamical predictions of seasonal North Atlantic hurricane activity. Mon Weather Rev 139:1070–1082

    Google Scholar 

  • Vecchi GA, Fueglistaler S, Held IM, Knutson TR, Zhao M (2013) Impacts of atmospheric temperature trends on tropical cyclone activity. J Clim 26:3877–3891

    Google Scholar 

  • Vecchi GA, Delworth T, Gudgel R, Kapnick S, Rosati A, Wittenberg AT, Zeng F, Anderson W, Balaji V, Dixon K, Jia L (2014) On the seasonal forecasting of regional tropical cyclone activity. J Clim 27:7994–8016

    Google Scholar 

  • Vecchi GA, Delworth TL, Murakami H, Underwood SD, Wittenberg AT, Zeng F, Zhang W, Baldwin JW, Bhatia KT, Cooke W, He J (2019) Tropical cyclone sensitivities to CO2 doubling: roles of atmospheric resolution, synoptic variability and background climate changes. Clim Dyn 53:5999–6033

    Google Scholar 

  • Villarini G, Vecchi GA, Smith JA (2010) Modeling the dependence of tropical storm counts in the North Atlantic basin on climate indices. Mon Weather Rev 138:2681–2705

    Google Scholar 

  • Vimont DJ (2012) Analysis of the Atlantic Meridional Mode using linear inverse modeling: Seasonality and regional influences. J Clim 25:1194–1212

    Google Scholar 

  • Vimont DJ, Kossin JP (2007) The Atlantic Meridional Mode and hurricane activity. Geophys Res Lett. https://doi.org/10.1029/2007GL029683

    Article  Google Scholar 

  • Wang B, Zhou X (2008) Climate variation and prediction of rapid intensification in tropical cyclones in the western North Pacific. Meteorol Atmos Phys 99:1–16

    Google Scholar 

  • Wang C, Wang X, Weisberg RH, Black ML (2017) Variability of tropical cyclone rapid intensification in the North Atlantic and its relationship with climate variations. Clim Dyn 49:3627–3645

    Google Scholar 

  • Watterson IG, Evans JL, Ryan BF (1995) Seasonal and interannual variability of tropical cyclogenesis: Diagnostics from large-scale fields. J Clim 8:3052–3066

    Google Scholar 

  • Wing AA, Emanuel K, Solomon S (2015) On the factors affecting trends and variability in tropical cyclone potential intensity. Geophys Res Lett 42:8669–8677

    Google Scholar 

  • Wong ML, Chan JC (2004) Tropical cyclone intensity in vertical wind shear. J Atmos Sci 61:1859–1876

    Google Scholar 

  • Yu J, Wang Y, Hamilton K (2010) Response of tropical cyclone potential intensity to a global warming scenario in the IPCC AR4 CGCMs. J Clim 23:1354–1373

    Google Scholar 

  • Zhang W, Vecchi GA, Murakami H, Villarini G, Jia L (2016a) The Pacific meridional mode and the occurrence of tropical cyclones in the western North Pacific. J Clim 29:381–398

    Google Scholar 

  • Zhang W, Vecchi GA, Murakami H, Delworth T, Wittenberg AT, Rosati A, Underwood S, Anderson W, Harris L, Gudgel R, Lin SJ (2016b) Improved simulation of tropical cyclone responses to ENSO in the western North Pacific in the high-resolution GFDL HiFLOR coupled climate model. J Clim 29:1391–1415

    Google Scholar 

  • Zhuge XY, Ming J, Wang Y (2015) Reassessing the use of inner-core hot towers to predict tropical cyclone rapid intensification. Weather and Forecast 30:1265–1279

    Google Scholar 

Download references

Acknowledgements

This work is supported in part by National Oceanic and Atmospheric Administration (NOAA) Grants NA14OAR4320106 and NA18OAR4320123. Gabriel A. Vecchi is supported by the Carbon Mitigation Initiative (CMI) at Princeton University.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ching Ho Justin Ng.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and Permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ng, C.H.J., Vecchi, G.A. Large-scale environmental controls on the seasonal statistics of rapidly intensifying North Atlantic tropical cyclones. Clim Dyn 54, 3907–3925 (2020). https://doi.org/10.1007/s00382-020-05207-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00382-020-05207-4

Keywords