Abstract
This work analyses the extratropical cyclone-related extreme waves in the ocean surface and their trends in the North and South Atlantic Oceans. Atmospheric and ocean wave products are obtained from ERA5, from 1979 to 2020 with 1-hourly outputs, covering 42 years with the present climate changes evaluated by the difference between the two 21-years-time slices. The cyclones are tracked through the relative vorticity at 850 hPa and then associated with extreme wave events using an automated scheme that searches for an extreme wave region 1500 km from the centre of the cyclone, following criteria that exclude possible swell dominated events. The hot spot regions of cyclone-related waves occurrence found by the method agree with previous studies and relate to the cyclogenesis region, and storm track orientation. Most cyclones associated with extreme wave events are generated in the western boundary of the domains. The east-poleward side of the ocean basins presents the highest density of occurrences related to the higher density of cyclone track and the dominance of more mature stage cyclones while in the west side prevail systems on developing stages, with notable propagating fronts and consequently, lower wind persistence. The storm track variations alone cannot explain the observed changes in the wave occurrence during the period due to the lack of statistical confidence. However, the wave occurrence responds to changes in the cyclone intensity, modulated by cyclone displacement speed. Regions with an increase of extreme waves are related to the effect of more intense cyclones or cyclones with slower propagation, being the last associated with a longer interaction of winds with the ocean surface.
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Availability of data and material
The ERA5 products were obtained with Copernicus Climate Change Service (C3S) (2017) (https://cds.climate.copernicus.eu/, last access: June 2021). The Cyclone tracks used in this study are available at “Atlantic extratropical cyclone tracks databases” (https://data.mendeley.com/datasets/kwcvfr52hp/5; Gramcianinov et al. 2020b). The cyclone track associated with extreme wave events obtained in this study can be shared upon request by email.
Code availability
The codes used in Sect. 3.3 can be shared upon request by email.
References
Alves JHG (2006) Numerical modeling of ocean swell contributions to the global wind-wave climate. Ocean Model 11(1–2):98–122. https://doi.org/10.1016/j.ocemod.2004.11.007
Ardhuin F, Orfila A (2018) Wind waves. New Front Oper Oceanogr, pp 393–422. https://doi.org/10.17125/gov2018.ch14
Ardhuin F, Chapron B, Collard F (2009) Observation of swell dissipation across oceans. Geophys Res Lett 36(6):1–5. https://doi.org/10.1029/2008GL037030. https://arxiv.org/abs/0809.2497
Bell RJ, Gray SL, Jones OP (2017) North Atlantic storm driving of extreme wave heights in the North Sea. J Geophys Res Ocean 122(4):3253–3268. https://doi.org/10.1002/2016JC012501
Belmonte Rivas M, Stoffelen A (2019) Characterizing ERA-Interim and ERA5 surface wind biases using ASCAT. Ocean Sci 15(3):831–852. https://doi.org/10.5194/os-15-831-2019
Bengtsson L, Hodges KI, Keenlyside N (2009) Will extratropical storms intensify in a warmer climate? J Clim 22(9):2276–2301. https://doi.org/10.1175/2008JCLI2678.1. https://arxiv.org/abs/9501047 [cond-mat]
Bernardino M, Goncalves M, Guedes Soares C (2021) Marine climate projections toward the end of the twenty-first century in the north Atlantic. J Offshore Mech Arct Eng. https://doi.org/10.1115/1.4050698
Bitner-Gregersen EM, Vanem E, Gramstad O et al (2018) Climate change and safe design of ship structures. Ocean Eng 149:226–237. https://doi.org/10.1016/j.oceaneng.2017.12.023
Caires S, Sterl A (2005) 100-year return value estimates for ocean wind speed and significant wave height from the ERA-40 data. J Clim 18(7):1032–1048. https://doi.org/10.1175/JCLI-3312.1
Campos RM, Guedes Soares C (2016a) Comparison and assessment of three wave hindcasts in the North Atlantic Ocean. J Oper Oceanogr 9(1):26–44. https://doi.org/10.1080/1755876x.2016.1200249
Campos RM, Guedes Soares C (2016b) Comparison of HIPOCAS and ERA wind and wave reanalyses in the North Atlantic Ocean. Ocean Eng 112:320–334. https://doi.org/10.1016/j.oceaneng.2015.12.028
Campos RM, Alves JH, Guedes Soares C et al (2018) Extreme wind-wave modeling and analysis in the South Atlantic ocean. Ocean Model 124(August 2017):75–93. https://doi.org/10.1016/j.ocemod.2018.02.002
Campos RM, Guedes Soares C, Alves JH et al (2019) Regional long-term extreme wave analysis using hindcast data from the South Atlantic Ocean. Ocean Eng 179(March):202–212. https://doi.org/10.1016/j.oceaneng.2019.03.023
Campos RM, D’Agostini A, Franca BRL et al (2020) Extreme wind and wave predictability from operational forecasts at the drake passage. J Offshore Mech Arct Eng. DOI 10(1115/1):4048151
Catto JL, Ackerley D, Booth JF et al (2019) The future of midlatitude cyclones. Curr Clim Chang Rep 5(4):407–420. https://doi.org/10.1007/s40641-019-00149-4
Chen G, Chapron B, Ezraty R et al (2002) A global view of swell and wind sea climate in the ocean by satellite altimeter and scatterometer. J Atmos Ocean Technol 19(11):1849–1859. https://doi.org/10.1175/1520-0426(2002)019h1849:AGVOSAi2.0.CO;2
Copernicus Climate Change Service (C3S) (2017) ERA5: fifth generation of ECMWF atmospheric reanalyses of the global climate. Copernicus Climate Change Service Climate Data Store (CDS). https://cds.climate.copernicus.eu/cdsapp#!/home. Accessed 20 Jan 2021
Crespo NM, da Rocha RP, Sprenger M et al (2021) A potential vorticity perspective on cyclogenesis over centre-eastern South America. Int J Climatol 41(1):663–678
da Rocha RP, Sugahara S, da Silveira RB (2004) Sea Waves generated by extratropical cyclones in the south Atlantic ocean: hindcast and validation against altimeter data. Weather Forecast 19(2):398–410. https://doi.org/10.1175/1520-0434(2004)019h0398:swgbeci2.0.co;2
da Rocha RP, Reboita MS, Gozzo LF et al (2019) Subtropical cyclones over the oceanic basins: a review. Ann N Y Acad Sci 1436(1):138–156. https://doi.org/10.1111/nyas.13927
Dacre HF, Gray SL (2009) The spatial distribution and evolution characteristics of North Atlantic cyclones. Mon Weather Rev 137(1):99–115. https://doi.org/10.1175/2008MWR2491.1
de Jesus EM, da Rocha RP, Crespo NM et al (2020) Multi-model climate projections of the main cyclogenesis hot-spots and associated winds over the eastern coast of south America. Clim Dyn 56(1–2):537–557. https://doi.org/10.1007/s00382-020-05490-1
Dobrynin M, Murawsky J, Yang S (2012) Evolution of the global wind wave climate in CMIP5 experiments. Geophys Res Lett 39(17):2–7. https://doi.org/10.1029/2012GL052843
Fyfe JC (2003) Extratropical Southern Hemisphere cyclones: harbingers of climate change? J Clim 16(17):2802–2805. https://doi.org/10.1175/1520-0442(2003)016h2802:ESHCHOi2.0.CO;2
Gan MA, Rao VB (1991) Surface cyclogenesis over South America. Mon Weather Rev 119(5):1293–1302. https://doi.org/10.1175/1520-0493(1991)119h1293:SCOSAi2.0.CO;2
Geng Q, Sugi M (2003) Possible change of extratropical cyclone activity due to enhanced greenhouse gases and sulfate aerosols—study with a high-resolution AGCM. J Clim 16(13):2262–2274. https://doi.org/10.1175/1520-0442(2003)16h2262:PCOECAi2.0.CO;2
Godoi VA, Torres Junior AR (2020) A global analysis of austral summer ocean wave variability during SAM–ENSO phase combinations. Clim Dyn 54(9–10):3991–4004. https://doi.org/10.1007/s00382-020-05217-2
Godoi VA, de Andrade FM, Durrant TH et al (2020) What happens to the ocean surface gravity waves when ENSO and MJO phases combine during the extended boreal winter? Clim Dyn 54(3–4):1407–1424. https://doi.org/10.1007/s00382-019-05065-9
Gozzo LF, da Rocha RP, Reboita MS et al (2014) Subtropical cyclones over the southwestern South Atlantic: climatological aspects and case study. J Clim 27(22):8543–8562. https://doi.org/10.1175/JCLI-D-14-00149.1
Gozzo LF, da Rocha RP, Gimeno L et al (2017) Climatology and numerical case study of moisture sources associated with subtropical cyclogenesis over the southwestern Atlantic Ocean. J Geophys Res 122(11):5636–5653. https://doi.org/10.1002/2016JD025764
Gramcianinov CB, Hodges KI, Camargo R (2019) The properties and genesis environments of South Atlantic cyclones. Clim Dyn 53(7–8):4115–4140. https://doi.org/10.1007/s00382-019-04778-1
Gramcianinov CB, Campos RM, de Camargo R et al (2020a) Analysis of Atlantic extratropical storm tracks characteristics in 41 years of ERA5 and CFSR/CFSv2 databases. Ocean Eng 216(108):111. https://doi.org/10.1016/j.oceaneng.2020.108111
Gramcianinov CB, Campos RM, de Camargo R, et al. (2020b) Atlantic extratropical cyclone tracks in 41 years of ERA5 and CFSR/CFSv2 databases. Mendeley Data V4. https://doi.org/10.17632/kwcvfr52hp.4
Gramcianinov CB, Campos RM, Guedes Soares C et al (2020c) Extreme waves generated by cyclonic winds in the western portion of the South Atlantic Ocean. Ocean Eng 213(1):107745. https://doi.org/10.1016/j.oceaneng.2020c.107745
Gramcianinov CB, Campos RM, de Camargo R et al (2021a) Relation between cyclone evolution and fetch associated with extreme wave events in the South Atlantic Ocean. J Offshore Mech Arct Eng 2A–2020:1–27. https://doi.org/10.1115/1.4051038
Gramcianinov CB, Campos RM, Guedes Soares C et al (2021b) Distribution and characteristics of extreme waves generated by extratropical cyclones in the North Atlantic Ocean. In: Guedes Soares C, Santos TA (eds) Developments in maritime technology and engineering. Taylor and Francis, London, pp 797–804
Grise KM, Son SW, Gyakum JR (2013) Intraseasonal and interannual variability in north American storm tracks and its relationship to equatorial pacific variability. Mon Weather Rev 141(10):3610–3625. https://doi.org/10.1175/MWR-D-12-00322.1
Guedes Soares C (1984) Representation of double-peaked sea wave spectra. Ocean Eng 11(2):185–207. https://doi.org/10.1016/0029-8018(84)90019-2
Hasselmann K, Barnett TP, Bouws E et al (1973) Measurements of windwave growth and swell decay during the Joint North Sea wave project (JONSWAP). Deutches Hydrographisches Institut Zeit A8:1–95
Hemer MA, Church JA, Hunter JR (2010) Variability and trends in the directional wave climate of the southern hemisphere. Int J Climatol 30(4):475–491. https://doi.org/10.1002/joc.1900
Hersbach H, Bell B, Berrisford P et al (2020) The ERA5 global reanalysis. Q J R Meteorol Soc 146(730):1999–2049. https://doi.org/10.1002/qj.3803
Hodges KI (1994) A general method for tracking analysis and its application to meteorological data. Mon Weather Rev 122(11):2573–2586. https://doi.org/10.1175/1520-0493(1994)122h2573:AGMFTAi2.0.CO;2
Hodges KI (1995) Feature tracking on the unit sphere. Mon Weather Rev 123(12):3458–3465. https://doi.org/10.1175/1520-0493(1995)123h3458:FTOTUSi2.0.CO;2
Hodges KI (1996) Spherical nonparametric estimators applied to the UGAMP model integration for AMIP. Mon Weather Rev 124(12):2914–2932. https://doi.org/10.1175/1520-0493(1996)124h2914:SNEATTi2.0.CO;2
Hodges KI (1999) Adaptative constraints for feature tracking. Mon Weather Rev 127:1362–1373. https://doi.org/10.4324/9781315658032
Hodges KI (2008) Confidence intervals and significance tests for spherical data derived from feature tracking. Mon Weather Rev 136(5):1758–1777. https://doi.org/10.1175/2007MWR2299.1
Hoskins BJ, Hodges KI (2002) New perspectives on the northern hemisphere winter storm tracks. J Atmos Sci 59(6):1041–1061. https://doi.org/10.1175/1520-0469(2002)059h1041:NPOTNHi2.0.CO;2
Hoskins BJ, Hodges KI (2005) A new perspective on southern hemisphere storm tracks. J Clim 18(20):4108–4129. https://doi.org/10.1175/JCLI3570.1. https://arxiv.org/abs/joc.1492 [10.1002]
Hoskins BJ, Hodges KI (2019) The annual cycle of Northern Hemisphere storm tracks. Part I: seasons. J Clim 32(6):1743–1760. https://doi.org/10.1175/JCLI-D-17-0870.1
Kita Y, Waseda T, Webb A (2018) Development of waves under explosive cyclones in the Northwestern Pacific. Ocean Dyn 68(10):1403–1418. https://doi.org/10.1007/s10236-018-1195-z
Lambert SJ, Fyfe JC (2006) Changes in winter cyclone frequencies and strengths simulated in enhanced greenhouse warming experiments: results from the models participating in the IPCC diagnostic exercise. Clim Dyn 26(7–8):713–728. https://doi.org/10.1007/s00382-006-0110-3
Lemos G, Semedo A, Dobrynin M et al (2019) Mid-twenty-first century global wave climate projections: results from a dynamic CMIP5 based ensemble. Glob Planet Change 172:69–87. https://doi.org/10.1016/j.gloplacha.2018.09.011
Lim EP, Simmonds I (2002) explosive cyclone development in the southern hemisphere and a comparison with northern hemisphere events. Mon Weather Rev 130(9):2188–2209. https://doi.org/10.1175/1520-0493(2002)130h2188:ecditsi2.0.co;2
Meucci A, Young IR, Hemer M et al (2020) Projected 21st century changes in extreme wind-wave events. Sci Adv 6(24):eaaz7295. https://doi.org/10.1126/sciadv.aaz7295
Pezza AB, Ambrizzi T (2003) Variability of southern hemisphere cyclone and anticyclone behavior: further analysis. J Clim 16:1075–1083. https://doi.org/10.1175/1520-0442(2003)016h1075:VOSHCAi2.0.CO;2
Ponce de Léon S, Bettencourt J (2021) Composite analysis of North Atlantic extra-tropical cyclone waves from satellite altimetry observations. Adv Sp Res 68(2):762–772. https://doi.org/10.1016/j.asr.2019.07.021
Ponce de Léon S, Guedes Soares C (2014) Extreme wave parameters under North Atlantic extratropical cyclones. Ocean Model 81:78–88. https://doi.org/10.1016/j.ocemod.2014.07.005
Ponce de Léon S, Guedes Soares C (2015) Hindcast of extreme sea states in North Atlantic extratropical storms. Ocean Dyn 65(2):241–254. https://doi.org/10.1007/s10236-014-0794-6
Ponce de Léon S, Guedes Soares C (2021) Numerical modelling of the effects of the gulf stream on the wave characteristics. J Mar Sci Eng 9(1):42. https://doi.org/10.3390/jmse9010042
Rapizo H, Babanin AV, Schulz E et al (2015) Observation of wind-waves from a moored buoy in the Southern Ocean. Ocean Dyn 65(9–10):1275–1288. https://doi.org/10.1007/s10236-015-0873-3
Reboita MS, da Rocha RP, Ambrizzi T et al (2015) Trend and teleconnection patterns in the climatology of extratropical cyclones over the Southern Hemisphere. Clim Dyn 45(7–8):1929–1944. https://doi.org/10.1007/s00382-014-2447-3
Reboita MS, da Rocha RP, de Souza MR et al (2018) Extratropical cyclones over the southwestern South Atlantic Ocean: HadGEM2-ES and RegCM4 projections. Int J Climatol 38(6):2866–2879. https://doi.org/10.1002/joc.5468
Reboita MS, Reale M, da Rocha RP et al (2020) Future changes in the wintertime cyclonic activity over the CORDEX-CORE Southern Hemisphere domains in a multi-model approach. Clim Dyn 57(5–6):1533–1549. https://doi.org/10.1007/s00382-020-05317-z
Reboita MS, Crespo NM, Torres JA et al (2021) Future changes in winter explosive cyclones over the Southern Hemisphere domains from the CORDEX-CORE ensemble. Clim Dyn. https://doi.org/10.1007/s00382-021-05867-w
Sanders F, Gyakum JR (1980) Synoptic-dynamic climatology of the “bomb.” Mon Weather Rev 108(10):1589–1606. https://doi.org/10.1175/1520-0493(1980)108h1589:sdcoti2.0.co;2
Sasaki DK, Gramcianinov CB, Castro B et al (2021) Intraseasonal variability of ocean surface wind waves in the western south Atlantic: the role of cyclones and the pacific south American pattern. Weather Clim Dyn 2(4):1149–1166. https://doi.org/10.5194/wcd-2-1149-2021
Simmonds I, Keay K (2000) Mean Southern Hemisphere extratropical cyclone behavior in the 40-year NCEP-NCAR reanalysis. J Clim 13(5):873–885. https://doi.org/10.1175/1520-0442(2000)013h0873:MSHECBi2.0.CO;2
Sinclair MR (1994) An objective cyclone climatology for the Southern Hemisphere.https://doi.org/10.1175/1520-0493(1994)122h2239:AOCCFTi2.0.CO;2
Stopa JE, Cheung KF (2014) Intercomparison of wind and wave data from the ECMWF reanalysis Interim and the NCEP climate forecast system reanalysis. Ocean Model 75:65–83. https://doi.org/10.1016/j.ocemod.2013.12.006
Takbash A, Young IR (2020) Long-term and seasonal trends in global wave height extremes derived from ERA-5 reanalysis data. J Mar Sci Eng 8(12):1–16. https://doi.org/10.3390/jmse8121015
Takbash A, Young IR, Breivik Ø (2019) Global wind speed and wave height extremes derived from long-duration satellite records. J Clim 32(1):109–126. https://doi.org/10.1175/JCLI-D-18-0520.1
Ulbrich U, Leckebusch GC, Pinto JG (2009) Extra-tropical cyclones in the present and future climate: a review. Theor Appl Climatol 96(1–2):117–131. https://doi.org/10.1007/s00704-008-0083-8, https://arxiv.org/abs/9605103 [cs]
Vettor R, Guedes Soares C (2020) A global view on bimodal wave spectra and crossing seas from ERA-interim. Ocean Eng 210(107):439. https://doi.org/10.1016/j.oceaneng.2020.107439
Vinoth J, Young IR (2011) global estimates of extreme wind speed and wave height. J Clim 24(6):1647–1665. https://doi.org/10.1175/2010JCLI3680.1
Wang XL, Swail VR, Zwiers FW (2006) Climatology and changes of extratropical cyclone activity: comparison of ERA-40 with NCEP-NCAR reanalysis for 1958–2001. J Clim 19(13):3145–3166. https://doi.org/10.1175/JCLI3781.1
Wang XL, Swail VR, Zwiers FW et al (2008) Detection of external influence on trends of atmospheric storminess and northern oceans wave heights. Clim Dyn 32(2–3):189–203. https://doi.org/10.1007/s00382-008-0442-2
Young IR (1999) Seasonal variability of the global ocean wind and wave climate. Int J Climatol 19(9):931–950. https://doi.org/10.1002/(SICI)1097-0088(199907)19:9h931::AID-JOC412i3.0.CO;2-O
Young IR, Ribal A (2019) Multiplatform evaluation of global trends in wind speed and wave height. Science (80-) 364(6440):548–552. https://doi.org/10.1126/science.aav9527
Acknowledgements
The authors acknowledge the anonymous reviewer, who helped us to improve this article. This work is part of the project “Extreme wind and wave modelling and statistics in the Atlantic Ocean” (EXWAV) funded by the São Paulo Research Foundation (FAPESP) Grant #2018/08057-5 and by the Portuguese Foundation for Science and Technology (Fundação para a Ciência e Tecnologia—FCT) under contract PTDC/EAM-OCE/31325/2017 RD0504. This work contributes to the Strategic Research Plan of the Centre for Marine Technology and Ocean Engineering (CENTEC), which is financed by the Portuguese Foundation for Science and Technology (Fundação para a Ciência e Tecnologia—FCT) under contract UIDB/UIDP/00134/2020. C.B.G. was funded by a FAPESP postdoc scholarship Grant #2020/01416-0. R.M.C. is funded by the Cooperative Institute for Marine and Atmospheric Studies (CIMAS), a Cooperative Institute of the University of Miami and the National Oceanic and Atmospheric Administration, cooperative Agreement NA20OAR4320472. The authors would like to acknowledge the ECMWF for providing the atmospheric and wave data for the study. The ERA5 products were generated using Copernicus Climate Change Service Information [2019]. This study used the high-performance computing resources of the SDumont supercomputer (http://sdumont.lncc.br), which is provided by the National Laboratory for Scientific Computing (LNCC/MCTI, Brazil).
Funding
Grant #2018/08057-5, São Paulo Research Foundation (FAPESP); Grant #2020/01416-0, São Paulo Research Foundation (FAPESP); contract PTDC/EAM-OCE/31325/2017, Fundação para a Ciência e Tecnologia—FCT; contract UIDB/UIDP/00134/2020, Fundação para a Ciência e Tecnologia—FCT.
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Gramcianinov, C.B., de Camargo, R., Campos, R.M. et al. Impact of extratropical cyclone intensity and speed on the extreme wave trends in the Atlantic Ocean. Clim Dyn 60, 1447–1466 (2023). https://doi.org/10.1007/s00382-022-06390-2
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DOI: https://doi.org/10.1007/s00382-022-06390-2