Skip to main content
Log in

Northern Hemisphere winter storm track trends since 1959 derived from multiple reanalysis datasets

  • Published:
Climate Dynamics Aims and scope Submit manuscript

Abstract

In this study, a comprehensive comparison of Northern Hemisphere winter storm track trend since 1959 derived from multiple reanalysis datasets and rawinsonde observations has been conducted. In addition, trends in terms of variance and cyclone track statistics have been compared. Previous studies, based largely on the National Center for Environmental Prediction–National Center for Atmospheric Research Reanalysis (NNR), have suggested that both the Pacific and Atlantic storm tracks have significantly intensified between the 1950s and 1990s. Comparison with trends derived from rawinsonde observations suggest that the trends derived from NNR are significantly biased high, while those from the European Center for Medium Range Weather Forecasts 40-year Reanalysis and the Japanese 55-year Reanalysis are much less biased but still too high. Those from the two twentieth century reanalysis datasets are most consistent with observations but may exhibit slight biases of opposite signs. Between 1959 and 2010, Pacific storm track activity has likely increased by 10 % or more, while Atlantic storm track activity has likely increased by <10 %. Our analysis suggests that trends in Pacific and Atlantic basin wide storm track activity prior to the 1950s derived from the two twentieth century reanalysis datasets are unlikely to be reliable due to changes in density of surface observations. Nevertheless, these datasets may provide useful information on interannual variability, especially over the Atlantic.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

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

Similar content being viewed by others

Notes

  1. http://www.ecmwf.int/en/research/climate-reanalysis/era-20c.

  2. Note that at the time when the analyses were performed, 300 hPa meridional wind data  were not readily available for individual ensemble members from 20CR.

  3. SPHEREPACK is a programing package that facilitates modeling and analysis on a spherical grid.

References

  • Adams J, Swarztrauber P (1997) SPHEREPACK 2.0: A model development facility. NCAR Technical Note-TN-436+STR

  • Ashley WS, Black AW (2008) Fatalities associated with nonconvective high-wind events in the United States. J Appl Meteorol Climatol 47:717–725

    Article  Google Scholar 

  • Bengtsson L, Hagemann S, Hodges KI (2004) Can climatic trends be calculated from reanalysis data? J Geophys Res 109:D11111. doi:10.1029/2004JD004536

    Article  Google Scholar 

  • Bengtsson L, Hodges LI, Roeckner E (2006) Storm tracks and climate change. J Clim 19:3518–3543. doi:10.1175/JCLI3815.1

    Article  Google Scholar 

  • Blackmon ML (1976) A climatological spectral study of the 500 mb geopotential height of the Northern Hemisphere. J Atmos Sci 33:1607–1623. doi:10.1175/1520-0469(1976)033<1607:ACSSOT>2.0.CO;2

    Article  Google Scholar 

  • Broennimann S et al (2012) A multi-data set comparison of the vertical structure of temperature variability and change over the Arctic during the past 100 years. Clim Dyn 39:157–1598

    Google Scholar 

  • Chang EKM (2005) Effects of changes in frequency of observations and observational errors on monthly mean MSLP summary statistics derived from ICOADS. J Clim 18:3623–3633

    Article  Google Scholar 

  • Chang EKM (2007) Assessing the increasing trend in Northern Hemisphere winter storm track activity using surface ship observations and a statistical storm track model. J Clim 20:5607–5628

    Article  Google Scholar 

  • Chang EKM (2014) Impacts of background field removal on CMIP5 projected changes in Pacific winter cyclone activity. J Geophys Res Atmos 119:4626–4639. doi:10.1002/2013JD020746

    Article  Google Scholar 

  • Chang EKM, Fu Y (2002) Interdecadal variations in Northern Hemisphere winter storm track intensity. J Clim 15:642–658. doi:10.1175/1520-0442(2002)015<0642:IVINHW>2.0.CO;2

    Article  Google Scholar 

  • Chang EKM, Lee S, Swanson KL (2002) Storm track dynamics. J Clim 15:2163–2183

    Article  Google Scholar 

  • Chang EKM, Guo Y, Xia X (2012) CMIP5 multimodel ensemble projection of storm track change under global warming. J Geophys Res 117:D23118

    Google Scholar 

  • Chang EKM, Guo Y, Xia X, Zheng M (2013) Storm-track activity in IPCC AR4/CMIP3 model simulations. J Clim 26:246–260. doi:10.1175/JCLI-D-11-00707.1

    Article  Google Scholar 

  • Colle BA et al (2008) New York City’s vulnerability to coastal flooding. Bull Am Meteorol Soc 89:829–841

    Article  Google Scholar 

  • Colle BA, Zhang Z, Lombardo KA, Chang EKM, Liu P, Zhang M (2013) Historical evaluation and future projection of eastern North American and western Atlantic extratropical cyclones in the CMIP5 models during the cool season. J Clim 26:6882–6903

    Article  Google Scholar 

  • Compo GP, Whitaker JS, Sardeshmukh PD (2006) Feasibility of a 100-year reanalysis using only surface pressure data. Bull Am Meteorol Soc 87:175–190

    Article  Google Scholar 

  • Compo G, Whitaker J, Sardeshmukh P, Matsui N, Allan R, Yin X, Gleason B, Vose R, Rutledge G, Bessemoulin P et al (2011) The twentieth century reanalysis project. Q J R Meteorol Soc 137(654):1–28

    Article  Google Scholar 

  • Dangendorf S, Muller-Navarra S, Jensen J, Schenk F, Wahl T, Weisse R (2014) North Sea storminess from a novel storm surge record since AD 1843. J Clim 27:3582–3595

    Article  Google Scholar 

  • Dee DP et al (2011) The ERA-Interim reanalysis: configuration and performance of the data assimilation system. Q J R Meteorol Soc 137:553–597. doi:10.1002/qj.828

    Article  Google Scholar 

  • Feser F, Barcikowska M, Krueger O, Schenk F, Weisse R, Xia L (2015) Storminess over the North Atlantic and northwestern Europe—a review. Q J R Meteorol Soc 141:350–382

    Article  Google Scholar 

  • Geng Q, Sugi M (2001) Variability of the North Atlantic cyclone activity in winter analyzed from NCEP–NCAR reanalysis data. J Clim 14:3863–3873

    Article  Google Scholar 

  • Graham NE, Diaz HF (2001) Evidence for intensification of North Pacific winter cyclones since 1948. Bull Am Meteorol Soc 82:1869–1893

    Article  Google Scholar 

  • Guo Y, Chang EKM (2008) Impacts of assimilation of satellite and rawinsonde observations on Southern Hemisphere baroclinic wave activity in the NCEP–NCAR reanalysis. J Climate 21:3290–3309

    Article  Google Scholar 

  • Hall R, Erdelyi R, Hanna E, Jones JM, Scaife AA (2014) Drivers of North Atlantic polar front jet stream variability. Int J Climatol. doi:10.1002/joc.4121

    Google Scholar 

  • Harnik N, Chang EKM (2003) Storm track variations as seen in radiosonde observations and reanalysis data. J Clim 16:480–495

    Article  Google Scholar 

  • Harnik N, Chang EKM (2004) The effects of variations in jet width on the growth of baroclinic waves: implications for midwinter Pacific storm track variability. J Atmos Sci 61:23–40

    Article  Google Scholar 

  • Hodges KI (1994) A general method for tracking analysis and its application to meteorological data. Mon Weather Rev 122:2573–2586

    Article  Google Scholar 

  • Hodges KI (1999) Adaptive constraints for feature tracking. Mon Weather Rev 127:1362–1373

    Article  Google Scholar 

  • Hodges KI, Hoskins BJ, Boyle J, Thorncroft C (2003) A comparison of recent reanalysis datasets using objective feature tracking: storm tracks and tropical easterly waves. Mon Weather Rev 131:2012–2037

    Article  Google Scholar 

  • Hodges KI, Lee RW, Bengtsson L (2011) A comparison of extratropical cyclones in recent reanalysis ERA-Interim, NASA MERRA, NCEP CFSR, and JRA-25. J Clim 24:4888–4906

    Article  Google Scholar 

  • Hoskins BJ, Hodges KI (2002) New perspectives on the Northern Hemisphere winter storm tracks. J Atmos Sci 59:1041–1061

    Article  Google Scholar 

  • Hoskins BJ, Hodges KI (2005) A new perspective on Southern Hemisphere storm tracks. J. Clim 18:4108–4129

    Article  Google Scholar 

  • Kalnay E et al (1996) The NCEP/NCAR 40-year reanalysis project. Bull Am Meteorol Soc 77:437–471. doi:10.1175/1520-0477(1996)077,0437:TNYRP.2.0.CO;2

    Article  Google Scholar 

  • Kidson JW, Trenberth KE (1988) Effects of missing data on estimates of monthly mean general circulation statistics. J Clim 1:1261–1275

    Article  Google Scholar 

  • Kistler R et al (2001) The NCEP–NCAR 50-year reanalysis: monthly means CD-ROM and documentation. Bull Am Meteorol Soc 82:247–267

    Article  Google Scholar 

  • Klein WH (1958) The frequency of cyclones and anticyclones in relation to the mean circulation. J Meteorol 15:98–102. doi:10.1175/1520-0469(1958)015<0098:TFOCAA>2.0.CO;2

    Article  Google Scholar 

  • Kobayashi S et al (2015) The JRA-55 reanalysis: general specifications and basic characteristics. J Meteorol Soc Jpn. doi:10.2151/jmsj.2015-001

    Google Scholar 

  • Krueger O, Schenk F, Feser F, Weisse R (2013) Inconsistencies between long-term trends in storminess derived from the 20CR reanalysis and observations. J Clim 26(3):868–874. doi:10.1175/JCLI-D-12-00309.1

    Article  Google Scholar 

  • Krueger O, Feser F, Baerring L, Kaas E, Schmith T, Tuomenvirta H, von Storch H (2014) Comment on “Trends and low frequency variability of extra-tropical cyclone activity in the ensemble of twentieth century reanalysis”. Clim Dyn 42:1127–1128. doi:10.1007/s00382-013-1814-9

    Article  Google Scholar 

  • Kunkel KE, Andsager K, Easterling DR (1999) Long-term trends in extreme precipitation events over the conterminous United States and Canada. J Clim 12:2515–2527

    Article  Google Scholar 

  • Kunkel KE, Easterling DR, Kristovich DAR, Gleason B, Stoecker L, Smith R (2012) Meteorological causes of the secular variations in observed extreme precipitation events for the conterminous United States. J Hydrometeorol 13:1131–1141. doi:10.1175/JHM-D-11-0108.1

    Article  Google Scholar 

  • Lau N-C (1978) On the three-dimensional structure of the observed transient eddy statistics of the Northern Hemisphere wintertime circulation. J Atmos Sci 35:1900–1923. doi:10.1175/1520-0469(1978)035<1900:OTTDSO>2.0.CO;2

    Article  Google Scholar 

  • Murray RJ, Simmonds I (1991) A numerical scheme for tracking cyclone centres from digital data. Part I: development and operation of the scheme. Aust Meteorol Mag 39:155–166

    Google Scholar 

  • Neu U et al (2013) IMILAST a community effort to intercompare extratropical cyclone detection and tracking algorithms. Bull Am Meteorol Soc 94:529–547. doi:10.1175/BAMS-D-11-00154.1

    Article  Google Scholar 

  • Novak D, Colle BA, Yuter S (2008) High resolution observations and model simulations of an intense mesoscale snowband. Mon Weather Rev 136:1433–1456

    Article  Google Scholar 

  • Pfahl S, Wernli H (2012) Quantifying the relevance of cyclones for precipitation extremes. J Clim 25:6770–6780

    Article  Google Scholar 

  • Raible CC, Della-Marta PM, Schwierz C, Wernli H, Blender R (2008) Northern Hemisphere extratropical cyclones: a comparison of detection and tracking methods and different reanalyses. Mon Weather Rev 136:880–897

    Article  Google Scholar 

  • Sinclair MR, Watterson IG (1999) Objective assessment of extratropical weather systems in simulated climates. J Clim 12:3467–3485

    Article  Google Scholar 

  • Ulbrich U, Leekenbusch GC, Pinto JG (2009) Extra-tropical cyclones in the present and future climate: a review. Theor Appl Climatol 96:117–131

    Article  Google Scholar 

  • Uppala SM et al (2005) The ERA-40 re-analysis. Quart J Roy Meteor Soc 131:2961–3012. doi:10.1256/qj.04.176

    Article  Google Scholar 

  • Wallace JM, Lim G-H, Blackmon ML (1988) Relationship between cyclone tracks, anticyclone tracks, and baroclinic waveguides. J Atmos Sci 45:439–462

    Article  Google Scholar 

  • Wang XL, Swail VR, Zwiers FW (2007) Climatology and changes of extratropical cyclone activity: comparison of ERA-40 with NCEP–NCAR reanalysis for 1958-2001. J Clim 19:3145–3166

    Article  Google Scholar 

  • Wang XL, Feng Y, Compo G, Swail V, Zwiers F, Allan R, Sardeshmukh P (2013) Trends and low frequency variability of extra-tropical cyclone activity in the ensemble of twentieth century reanalysis. Clim Dyn 40(11–12):2775–2800. doi:10.1007/s00382-012-1450-9

    Article  Google Scholar 

  • Wang XL, Feng Y, Compo GP, Zwiers FW, Allan RF, Swail VR, Sardeshmukh PD (2014) Is the storminess in the twentieth century reanalysis really inconsistent with obesrvations? A reply to the comment by Krueger et al. (2013b). Clim Dyn 42:1113–1125. doi:10.1007/s00382-013-1828-3

    Article  Google Scholar 

  • Yin JH (2005) A consistent poleward shift of the storm tracks in simulations of 21st century climate. Geophys Res Lett 32:L18701. doi:10.1029/2005GL023684

    Article  Google Scholar 

Download references

Acknowledgments

The authors would like to thank ECMWF, JMA, NCEP, and NOAA for making available the various reanalysis and observation datasets. The authors would also like to thank four anonymous reviewers for useful comments. This research has been supported by NOAA Grant NA11OAR4310081 and NSF Grant AGS1261311.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Edmund K. M. Chang.

Appendix: Trends derived from individual ensemble members of 20CR

Appendix: Trends derived from individual ensemble members of 20CR

In Sect. 6, we have examined the ensemble mean analysis from 20CR. Compo et al. (2011) suggested an alternative strategy of using the 56 individual ensemble members (instead of the ensemble mean analysis) from 20CR to derive storm track activity before taking the ensemble mean of the storm track activity to quantify its time evolution. This procedure has been carried out for pp and results are shown in Fig. 12d, e. As expected, results based on averaging pp computed from individual ensemble members are consistently larger than those based on the ensemble mean analysis. Over 1900–2010, no significant trend is found in both the Pacific and the Atlantic. Nevertheless, it is not clear how reliable these century long trends are.

A similar procedure was carried out by Wang et al. (2013) to derive trends of cyclone activity over the period 1871–2010. However, the fidelity of trends derived by this procedure has been questioned by Krueger et al. (2013, 2014) who suggested that storminess trends derived from the 20CR using this procedure is not consistent with those derived from pressure observations over the North Atlantic. Wang et al. (2014) argued that the storminess derived from 20CR shows high temporal correlation with those derived directly from observations throughout the entire period, and the correlation increases after erroneous observations have been removed.

By comparing storm surge data from tide gauges with predictions based on reanalysis wind and pressure data, Dangendorf et al. (2014) suggested that long term trends in storminess derived from 20CR may be useful over the North Sea (around 54°N, 8°E) all the way back to about 1910. Prior to that, predictions based on either the ensemble mean analysis or individual ensemble members exhibit significant biases. Examining the time series of pp from 20CR and ERA-20C from 1901–2010 over this region (not shown), the 31-year running correlation between the two time series remains above 0.97 all the way back to the beginning of the period, and the value of the spread in 20CR (Fig. 12f), even when normalized by the value of pp, remains small even back to 1910 compared to the spread over either the Atlantic or Pacific storm track prior to the 1950s, but the spread over that region is increasing steadily before 1910. In addition, the value of the ensemble averaged pp computed from individual ensemble members over this region is only slightly (<2 %) larger than those computed based on the ensemble mean analysis all the way back to 1900. These results suggest that the North Sea region is an area with high enough observation density that the reanalyses are strongly constrained by the available observations all the way back to the early 1900s. These results indicate that useful long term trends from 20CR may only be derivable from regions with consistently high observation density, and the utility of such trends probably needs to be assessed on a case by case basis. Given that the uncertainties in 20CR prior to 1950 over the Pacific and Atlantic basins are much larger than those over the North Sea region around the early 1900s, and the results of Dangendorf et al. (2014) suggesting that 20CR trends are not reliable over the North Sea region around that time, it is unlikely that the long term trends are reliable over the Pacific and Atlantic basins prior to 1950.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Chang, E.K.M., Yau, A.M.W. Northern Hemisphere winter storm track trends since 1959 derived from multiple reanalysis datasets. Clim Dyn 47, 1435–1454 (2016). https://doi.org/10.1007/s00382-015-2911-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00382-015-2911-8

Keywords

Navigation