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The performance of the new tropical cyclone track prediction system of the China National Meteorological Center

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Summary

The global spectral model (GSM) at T213 horizontal resolution with 31 vertical levels has been used operationally in the China National Meteorological Center (CNMC) since 2002. The results show that the GSM is skillful in predicting large-scale circulations because of both the high spatial resolution and the improved model physics. However, because of the low skill in predicting the tropical cyclone (TC) genesis, the model has low skill in predicting TC tracks. In order to improve the prediction skill for TC tracks, an asymmetric bogus vortex scheme was implemented in the CNMCs operational GSM, and has being run in an experimental mode in 2003 and in an operational mode since 2004.

In this paper, the performance of the new system in predicting TC tracks over the western North Pacific in the last 3 years are evaluated together with a description of the construction of the asymmetric vortex bogus scheme and its implementation into the CNMCs GSM. It is shown that the asymmetric bogus vortex scheme can improve the track forecast skill not only in short term but also beyond 72 h compared with the corresponding axisymmetric vortex bogus scheme. The results also show that the performance of the GSM with the asymmetric vortex bogus scheme is superior to that of the current operational limited area TC model used at CNMC. However, systematic errors are found in the new TC prediction system: the model predicted tracks tend to deflect westward when TCs travel northeastward while northward when TCs travel westward or northwestward. The plan for future improvement and development of the TC prediction system at CNMC is also briefly discussed.

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References

  • Chan JCL (1992) Performance of the UK Meteorological Office global model in predicting the movement of tropical cyclone. Research Report AP-92-16, Department of Applied Science, City Polytechnic of Hong Kong, 36 pp

  • Chen QY, Jin ZY (2001) Main characteristics in new medium ranger forecast model, Technical Report of NMC (in Chinese)

  • S-H Chen FC Vandenberghe GW Petty JF Bresch (2004) ArticleTitleApplication of SSM/I satellite data to a hurricane simulation Q J Roy Meteor Soc 130 801–825 Occurrence Handle10.1256/qj.02.67

    Article  Google Scholar 

  • T Fujita (1952) ArticleTitlePressure distribution within a typhoon Geophys Mag 23 437–451

    Google Scholar 

  • JS Goerss RA Jeffries (1994) ArticleTitleAssimilation of synthetic tropical cyclone observations into the Navy operational global atmospheric prediction system Wea Forecast 9 557–576 Occurrence Handle10.1175/1520-0434(1994)009<0557:AOSTCO>2.0.CO;2

    Article  Google Scholar 

  • JS Goerss CR Sampson JM Gross (2004) ArticleTitleA history of western North Pacific tropical cyclone track forecast skill Wea Forecast 19 633–638 Occurrence Handle10.1175/1520-0434(2004)019<0633:AHOWNP>2.0.CO;2

    Article  Google Scholar 

  • T Iwasaki H Nakano M Sugi (1987) ArticleTitleThe performance of typhoon track prediction model with cumulus parameterization J Meteor Soc Japan 65 555–570

    Google Scholar 

  • Y Kurihara MA Bender RJ Ross (1993) ArticleTitleAn initialization scheme of hurricane models by vortex specification Mon Wea Rev 121 2030–2045 Occurrence Handle10.1175/1520-0493(1993)121<2030:AISOHM>2.0.CO;2

    Article  Google Scholar 

  • SM Leidner L Isaksen RN Hoffman (2003) ArticleTitleImpact of NSCAT winds on tropical cyclones in the ECMWF 4DVAR assimilation system Mon Wea Rev 131 3–26 Occurrence Handle10.1175/1520-0493(2003)131<0003:IONWOT>2.0.CO;2

    Article  Google Scholar 

  • LM Leslie GJ Holland (1995) ArticleTitleOn the bogussing of tropical cyclones in numerical models: A comparison of vortex profiles Meteorol Atmos Phys 56 101–110 Occurrence Handle10.1007/BF01022523

    Article  Google Scholar 

  • MT Montgomery RJ Kallenbach (1997) ArticleTitleA theory for vortex Rossby-waves and its application to spiral bands and intensity changes in hurricanes Q J Roy Meteor Soc 123 435–465 Occurrence Handle10.1002/qj.49712353810

    Article  Google Scholar 

  • DS Nolan MT Montgomery LD Grasso (2001) ArticleTitleThe wavenumber-one instability and trochoidal motion of hurricane-like vortices J Atmos Sci 58 3243–3270 Occurrence Handle10.1175/1520-0469(2001)058<3243:TWOIAT>2.0.CO;2

    Article  Google Scholar 

  • Z-X Pu SA Braun (2001) ArticleTitleEvaluation of bogus vortex techniques with four-dimensional variational data assimilation Mon Wea Rev 129 2023–2039 Occurrence Handle10.1175/1520-0493(2001)129<2023:EOBVTW>2.0.CO;2

    Article  Google Scholar 

  • Ueno M (1989) Operational bogusing and numerical prediction of typhoon in JMA, JMA/NPD Technical Report. No. 28, 48 pp

  • M Ueno (1995) ArticleTitleA Study on the impact of asymmetric components around tropical cyclone center on the accuracy of bogus data and the track forecast Meteorol Atmos Phys 56 125–134 Occurrence Handle10.1007/BF01022525

    Article  Google Scholar 

  • SW Wang J-J Li (1994) ArticleTitlePrimary results in typhoon track real-time forecast J Appl Meteor 5 462–469

    Google Scholar 

  • Y Wang (1998) ArticleTitleOn the bogusing of tropical cyclones in numerical models: The influence of vertical structure Meteorol Atmos Phys 65 153–170 Occurrence Handle10.1007/BF01030785

    Article  Google Scholar 

  • Y Wang (2002a) ArticleTitleVortex Rossby waves in a numerically simulated tropical cyclone. Part I: Overall structure, potential vorticity and kinetic energy budgets J Atmos Sci 59 1213–1238 Occurrence Handle10.1175/1520-0469(2002)059<1213:VRWIAN>2.0.CO;2

    Article  Google Scholar 

  • Y Wang (2002b) ArticleTitleVortex Rossby waves in a numerically simulated tropical cyclone. Part II: The role in tropical cyclone structure and intensity changes J Atmos Sci 59 1239–1262 Occurrence Handle10.1175/1520-0469(2002)059<1239:VRWIAN>2.0.CO;2

    Article  Google Scholar 

  • Y Wang C-C Wu (2004) ArticleTitleCurrent understanding of tropical cyclone structure and intensity changes – a review Meteorol Atmos Phys 87 257–278 Occurrence Handle10.1007/s00703-003-0055-6

    Article  Google Scholar 

  • Wu C-C, Chou K-H, Wang Y, Kuo Y-H (2006) Tropical cyclone initialization and prediction based on four-dimensional variational data assimilation. J Atmos Sci (in press)

  • Q Xiao X Zou B Wang (2000) ArticleTitleInitialization and simulation of a landfalling hurricane using a variational bogus data assimilation scheme Mon Wea Rev 128 2252–2269 Occurrence Handle10.1175/1520-0493(2000)128<2252:IASOAL>2.0.CO;2

    Article  Google Scholar 

  • T Zhu D-L Zhang F Weng (2002) ArticleTitleImpact of the Advanced Microwave Sounding Unit data on hurricane prediction Mon Wea Rev 130 2416–2432 Occurrence Handle10.1175/1520-0493(2002)130<2416:IOTAMS>2.0.CO;2

    Article  Google Scholar 

  • T Zhu D-L Zhang F Weng (2004) ArticleTitleNumerical simulation of hurricane Bonnie (1998). Part I: Eyewall evolution and intensity changes Mon Wea Rev 132 225–241 Occurrence Handle10.1175/1520-0493(2004)132<0225:NSOHBP>2.0.CO;2

    Article  Google Scholar 

  • X Zou Q Xiao (2000) ArticleTitleStudies on the initialization and simulation of a mature hurricane using bogus data assimilation scheme J Atmos Sci 57 836–860 Occurrence Handle10.1175/1520-0469(2000)057<0836:SOTIAS>2.0.CO;2

    Article  Google Scholar 

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Ma, S., Qu, A. & Wang, Y. The performance of the new tropical cyclone track prediction system of the China National Meteorological Center. Meteorol. Atmos. Phys. 97, 29–39 (2007). https://doi.org/10.1007/s00703-006-0242-3

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