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Operational ACCESS-TC: Vortex Specification, 4DVAR Initialization, Verification and Structure Diagnostics

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Advanced Numerical Modeling and Data Assimilation Techniques for Tropical Cyclone Prediction

Abstract

The Australian Community Climate and Earth System Simulator, ACCESS (Puri et al., 2010, 2012) has been configured for operational and research applications on Tropical Cyclones. ACCESS is an implementation at the Australian Bureau of Meteorology of the full UK Meteorological Office’s Numerical Modelling System (Gregory and Rowntree, 1990; Wilson and Ballard, 1999; Webster et al., 2003; Davies et al., 2005; Rawlins et al., 2007 and references therein). The ACCESS-TC system runs at a resolution of 0.11° and 50 levels. The domain is re-locatable and nested in coarser-resolution forecasts. Initialization consists of five cycles of 4DVAR over 24 hours and forecasts to 72 hours are made. Without vortex specification, initial conditions usually contain a weak and misplaced circulation (Zou and Xiao, 2000). This makes it necessary to incorporate a synthetic TC vortex at the observed location in initial conditions and preferably during the data assimilation (e.g., Kurihara et al., 1995; Davidson and Weber, 2000). In ACCESS-TC, based on estimates of central pressure and storm size, vortex specification is used to filter the analysed circulation from the original analysis, construct the inner-core of the storm, merge it with the large scale analysis at outer radii, and relocate it to the observed position. Since TC reconnaissance is not conducted in the Australian Region, significant effort has been devoted to building physically based, synthetic inner-core structures, validated using historical dropsonde archives from the Atlantic and northeast Pacific. The power of the 4DVAR method allows the use of only synthetic mean sea level pressure observations to build the horizontal and vertical structure of storms.

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References

  • Chan, J.C. and R.T. Williams, 1987: Analytical and numerical studies of the beta-effect in tropical cyclone motion. Part I: Zero mean flow. J. Atmos. Sci., 44, 1257-1265.

    Article  Google Scholar 

  • Davidson, N.E. and Y. Ma, 2012: Surface Pressure Profiles, Vortex Structure and Initialization for Hurricane Prediction. Part II: Numerical Simulations of Track, Structure and Intensity. Meteorol. Atmos. Phys, 117, 25-45.

    Article  Google Scholar 

  • Davidson, N.E. and H.C. Weber, 2000: The BMRC High-Resolution Tropical Cyclone Prediction System: TC-LAPS. Mon. Wea. Rev., 128, 1245-1265.

    Article  Google Scholar 

  • Davies, T., M.J.P. Cullen, A.J. Malcolm, M.H. Mawson, A. Staniforth, A.A. White and N. Wood, 2005: A new dynamical core for the Met Office’s global and regional modelling of the atmosphere. Q. J. Roy. Meteorol. Soc., 131, 1759-1782.

    Article  Google Scholar 

  • Demuth, J., M. DeMaria and J.A. Knaff, 2006: Improvement of advanced microwave sounder unit tropical cyclone intensity and size estimation algorithms. J. Appl. Meteor., 45, 1573-1581.

    Article  Google Scholar 

  • Gregory, D. and P.R. Rowntree, 1990: A mass flux convection scheme with representation of cloud ensemble characteristics and stability-dependent closure. Mon. Wea. Rev., 118, 1483-1506.

    Article  Google Scholar 

  • Kurihara, Y., M.A. Bender, R.E. Tuleya and R.J. Ross, 1995: Improvements in the GFDL Hurricane Prediction System. Mon. Wea. Rev., 123, 2791-2801.

    Article  Google Scholar 

  • Rawlins, F., S.P. Ballard, K.J. Bovis, A.M. Clayton, D. Li, G.W. Inverarity, A.C. Lorenc and T.J. Payne, 2007: The Met Office global four-dimensional variational data assimilation scheme. Quart. J. Roy. Met. Soc., 133, 347-362.

    Article  Google Scholar 

  • Ma, Y., M. Kafatos and N.E. Davidson, 2012: Surface Pressure Profiles and Initialization for Hurricane Prediction. Part I: Analysis of Observed and Synthetic Structures. Meteorol. Atmos. Phys, 117, 5-23.

    Article  Google Scholar 

  • Puri, K. et al., 2013: Implementation of the initial ACCESS Numerical Weather Prediction system. Aust. Meteor. Oceanograph. J., 63, 265-284.

    Google Scholar 

  • Puri, K. et al., 2010: Preliminary results from Numerical Weather Prediction implementation of ACCESS. CAWCR Research Letters, 5, 15-22. http://www.cawcr.gov.au/publications/researchletters/CAWCR_Research_Letters_5.pdf.

    Google Scholar 

  • Webster, S., A.R. Brown, D.R. Cameron and C.P. Jones, 2003: Improvements to the representation of orography in the Met. Office Unified Model. Q. J. Roy. Meteorol. Soc., 129, 1989-2010.

    Article  Google Scholar 

  • Wilson, M. and S.P. Ballard, 1999: A microphysically based precipitation scheme for the UK Meteorological Office Unified Model. Q. J. Roy. Meteorol. Soc., 125, 1607-1636.

    Article  Google Scholar 

  • Zou, X. and Q. Xiao, 2000: Studies on the Initialization and Simulation of a Mature Hurricane Using a Variational Bogus Data Assimilation Scheme. J. Atmos. Sci., 57, 836-860.

    Article  Google Scholar 

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Davidson, N. et al. (2016). Operational ACCESS-TC: Vortex Specification, 4DVAR Initialization, Verification and Structure Diagnostics. In: Mohanty, U.C., Gopalakrishnan, S.G. (eds) Advanced Numerical Modeling and Data Assimilation Techniques for Tropical Cyclone Prediction. Springer, Dordrecht. https://doi.org/10.5822/978-94-024-0896-6_14

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