Skip to main content

The Tropical Cyclone Climate Model Intercomparison Project

  • Chapter
  • First Online:
Hurricanes and Climate Change

Abstract

In this chapter, a review is given of progress to date on an intercomparison project designed to compare and evaluate the ability of climate models to generate tropical cyclones, the Tropical Cyclone climate Model Intercomparison Project (TC-MIP). Like other intercomparison projects, this project aims to evaluate climate models using common metrics in order to make suggestions regarding future development of such models. A brief summary is given of the current ability of these models and some initial conclusions are made. Coarser-resolution climate models appear to have difficulty simulating tropical formation in the Atlantic basin, but simply increasing the resolution of such models does not necessarily lead to improved simulations in this region. The choice of convective scheme is also important in determining the tropical cyclone formation rate. There appears to be little relationship between the simulated details of the large-scale climate and model tropical cyclone formation rates, and possible reasons are given for this. Recent fine-resolution models have shown considerable improvement in their simulation of both global and Atlantic tropical cyclone formation, leading to the possibility that such models could be used for detection and attribution studies of the causes of observed changes in tropical cyclone formation rate, particularly in the Atlantic basin.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    www.earthsci.unimelb.edu.au/ kwalsh/tcmip_index.html

References

  • Bélair S, Mailhot J, Girard C, Vaillancourt P (2005) Boundary layer and shallow cumulus clouds in a medium-range forecast of a large-scale weather system. Mon Wea Rev 133:1938–1959

    Article  Google Scholar 

  • Bengtsson L, Hodges KI, Esch M (2007) Tropical cyclones in a T159 resolution global climate model: comparison with observations and reanalyses. Tellus 59:396–496

    Article  Google Scholar 

  • Bister M, Emanuel KA (1998) Dissipative heating and hurricane intensity. Met Atmos Phys 52:233–240

    Article  Google Scholar 

  • Bretherton CS, McCaa JR, Grenier H (2004) A new parameterization for shallow cumulus convection and its application to marine subtropical cloud-topped boundary layers. Part I: Description and 1-d results. Mon Wea Rev 132:864–882

    Article  Google Scholar 

  • Camargo SJ, Zebiak SE (2002) Improving the detection and tracking of tropical storms in atmospheric general circulation models. Wea Forecast 17:1152–1162

    Article  Google Scholar 

  • Camargo SJ, Barnston AG, Emanuel KA (2007) Tropical cyclone genesis potential in climate models. Tellus 59A:428–443

    Google Scholar 

  • Emanuel KA (1987) The dependence of hurricane intensity on climate. Nature 326:483–485

    Article  Google Scholar 

  • Emanuel KA (2007) Environmental factors affecting tropical cyclone power dissipation. J Climate 22:5497–5509

    Article  Google Scholar 

  • Emanuel KA, Nolan DS (2004) Tropical cyclone activity and global climate. In: Proceedings of 26th conference on hurricanes and tropical meteorology, American Meteorological Society, pp 240–241

    Google Scholar 

  • Emanuel K, Sundararajan R, Williams J (2008) Hurricanes and global warming: Results from downscaling IPCC AR4 simulations. Bull Am Meteor Soc 89:347–367

    Article  Google Scholar 

  • Gualdi S, Scoccimarro E, Navarra A (2008) Changes in tropical cyclone activity due to global warming: Results from a high-resolution coupled general circulation model. J Climate 21:5204–5228

    Article  Google Scholar 

  • Hegerl GC, Zwiers FW, Braconnot P, Gillett NP, Luo Y, Marengo Orsini JA, Nicholls N, Penner JE, Stott PA (2007) Understanding and attributing climate change. In: Solomon S, Qin D, Manning M, Chen Z, Marquis M, Averyt KB, Tignor M, Miller HL (eds) Climate change 2007: The physical science basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge/ New York, pp 663–745

    Google Scholar 

  • IPCC (2007) Climate change 2007: The physical science basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. In: Solomon S, Qin D, Manning M, Chen Z, Marquis M, Averyt KB, Tignor M, Miller HL (eds) Cambridge University Press, Cambridge/New York, 996 pp

    Google Scholar 

  • Kain JS, Fritsch JM (1990) A one-dimensional entraining/detraining plume model and application in convective parameterization. J Atmos Sci 47:2784–2802

    Article  Google Scholar 

  • Knapp KR, Kruk MC, Levinson DH, Gibney EJ (2009) Archive compiles new resource for global tropical cyclone research. Eos Trans 90:doi:10.1029/2009EO060002

    Google Scholar 

  • Knutson TR, Sirutis JJ, Garner ST, Vecchi GA, Held IM (2008) Simulated reduction in Atlantic hurricane frequency under twenty-first-century warming conditions. Nat Geosci 1:479–483

    Article  Google Scholar 

  • Kossin JP, Knapp KR, Vimont DJ, Murnane RJ, Harper BA (2007) A globally consistent reanalysis of hurricane variability and trends. Geophys Res Lett 34:L04815. doi:10.1029/2006GL028836

    Article  Google Scholar 

  • Kuo HL (1965) On formation and intensification of tropical cyclones through latent heat release by cumulus convection. J Atmos Sci 22:40–63

    Article  Google Scholar 

  • Madec G, Delecluse P, Imbard M, Levy C (1998) OPA 8.1 Ocean General circulation model reference manual, Internal Rep. 11, Institut Pierre-Simon Laplace, Paris, France

    Google Scholar 

  • McBride JL (1995) Tropical cyclone formation. In: Elsberry RL (ed) Global perspectives on tropical cyclones. WMO/TD-No. 693

    Google Scholar 

  • Mizuta R, Oouchi K, Yoshimura H, Noda A, Katayama K, Yukimoto S, Hosaka M, Kusunoki S, Kawai H, Nakagawa M (2006) 20-km-mesh global climate simulations using JMA-GSM model: Mean climate states. J Met Soc Japan 84:165–185

    Article  Google Scholar 

  • Nordeng TE (1994) Extended versions of the convective parameterization scheme at ECMWF and their impact on the mean and transient activity of the model in the Tropics. ECMWF Research Department Technical Memo 206, 41 pp

    Google Scholar 

  • Randall D, Pan D-M (1993) Implementation of the Arakawa-Schubert cumulu parameterization with a prognostic closure. In: Emanuel KA, Raymond DJ (eds) The representation of cumulus convection in numerical models. Meteor Monogr, Am Meteor Soc 46:137–144

    Google Scholar 

  • Roeckner E, Bäuml G, Bonaventura L, Brokopf R, Esch M, Giorgetta M, Hagemann S, Kirchner I, Kornblueh L, Manzini E, Rhodin A, Schlese U, Schulzweida U, Tompkins A (2003) The atmospheric general circulation model ECHAM5. Part I: Model description. Rep. No. 349, Max-Planck-Institut für Meteorologie, Hamburg, Germany, 127 pp

    Google Scholar 

  • Semmler T, Varghese S, McGrath R, Nolan P, Wang S, Lynch P, O’Dowd C (2008) Regional climate model simulations of North Atlantic cyclones: frequency and intensity changes. Clim Res 36:1–16

    Article  Google Scholar 

  • Stott PA, Tett SFB, Jones GS, Allen MR, Ingram WJ, Mitchell JFB (2001) Attribution of twentieth century temperature change to natural and anthropogenic causes. Clim Dyn 18:1–21

    Article  Google Scholar 

  • Tiedtke M (1989) A comprehensive mass flux scheme for cumulus parameterization in large–scale models. Mon Wea Rev 117:1779–1800

    Article  Google Scholar 

  • Trenberth KE, Fasullo J, Smith L (2005) Trends and variability in column-integrated water vapour. Clim Dyn 24:741–758

    Article  Google Scholar 

  • Uppala SM and Coauthors (2005) The ERA-40 reanalysis. Quart J Roy Meteor Soc 131:2961–3012

    Article  Google Scholar 

  • Walsh K (2008) The ability of climate models to generate tropical cyclones: implications for prediction. In: Peretz L (ed) Climate change research progress, Nova, New York, pp 313–329

    Google Scholar 

  • Walsh K, Fiorino M, Landsea C, McInnes K (2007) Objectively-determined resolution-dependent threshold criteria for the detection of tropical cyclones in climate models and reanalyses. J Clim 20:2307–2314

    Article  Google Scholar 

  • Yokoi S, Takayabu Y, Chan J (2009) Tropical cyclone genesis frequency over the western North Pacific simulated in medium-resolution coupled general circulation models. Clim Dyn:doi 10.1007/s00382-009-0593-9

    Google Scholar 

  • Zadra A, Caya D, Côté J, Dugas B, Jones C, Laprise R, Winger K, Caron L-P (2008) The next Canadian Regional climate model. Phys Can 64:75–83

    Google Scholar 

  • Zhao M, Held I, Lin S-J, Vecchi GA (2010) Simulations of global hurricane climatology, interannual variability, and response to global warming using a 50km resolution GCM. J Clim 22:6653–6678

    Article  Google Scholar 

Download references

Acknowledgments

The authors would like to thank the Australian Research Council Network for Earth System Science (ARCNESS) and Woodside Energy for supplying funding for the creation of the data sets analysed in this project. We would like to thank Aurel Moise, Aaron McDonough and Peter Edwards of the CSIRO’s Advanced Scientific Computing group for assistance in creating a subset of the PCMDI data set, and the CSIRO Climate Adaptation Flagship for supplying funding for a related project. We would like to thank Damien Irving of CSIRO, who worked on an earlier version of this document. The authors would also like to thank their respective institutions for supporting this work. This chapter is a considerably extended version of a paper presented at the Centre for Australian Weather and Climate Research (CAWCR) Modelling Workshop, held November 25–28, 2009.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Kevin Walsh .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer Science+Business Media B.V.

About this chapter

Cite this chapter

Walsh, K., Lavender, S., Murakami, H., Scoccimarro, E., Caron, LP., Ghantous, M. (2010). The Tropical Cyclone Climate Model Intercomparison Project. In: Elsner, J., Hodges, R., Malmstadt, J., Scheitlin, K. (eds) Hurricanes and Climate Change. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-9510-7_1

Download citation

Publish with us

Policies and ethics