Abstract
In this paper, the three-dimensional variational data assimilation scheme (3DVAR) in the mesoscale model version 5 (MM5) of the US Pennsylvania State University/National Center for Atmospheric Research is used to study the effect of assimilating the sea-wind data from QuikSCAT on the prediction of typhoon track and intensity. The case of Typhoon Dujuan (2003) is first tested and the results show appreciable improvements. Twelve other cases in 2003 are then evaluated. The assimilation of the QuikSCAT data produces significant impacts on the structure of Dujuan in terms of the horizontal and vertical winds, sealevel pressure and temperature at the initial time. With the assimilation, the 24-h (48-h) track prediction of 11 (10) out of the 12 typhoons is improved. The 24-h (48-h) prediction of typhoon intensity is also improved in 10 (9) of the 12 cases. These experiments therefore demonstrate that assimilation of the QuikSCAT sea-wind data can increase the accuracy of typhoon track and intensity predictions through modification of the initial fields associated with the typhoon.
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Barker, D. M., W. Huang, Y.-R. Guo, and A. Bourgeois, 2003: A three-dimensional variational (3DVAR) data assimilation system for use with MM5. NCAR Technical Note, NCAR/TN-453+STR, National Center for Atmospheric Research, Boulder, Colorado, 68pp.
Bouttier, F., and G. Kelly, 2001: Observing-system experiments in the ECMWF 4D-Var data assimilation system.Quart. J. Roy. Meteor. Soc.,127, 1469–1488.
Courtier, P., and Coauthors, 1998: The ECMWF implementation of three dimensional variational (3DVAR) data assimilation. Part I: Formulation.Quant. J. Roy. Meteor. Soc.,123, 1–26.
Ebuchi, N., H. C. Graber, and M. J. Caruso, 2002: Evaluation of wind vectors observed by QuikSCAT/SeaWinds using ocean buoy data.J. Atmos. and Oceanic Tech.,19, 2049–2062.
English, S. J., R. J. Renshaw, P. C. Dibben, A. J. Smith, P. C. Rayer, C. Poulsen, F. W. Saunders, and J. R. Eyre, 2000: A comparison of the impact of TOVS and ATOVS satellite sounding data on the accuracy of numerical weather forecasts.Quart. J. Roy. Meteor. Soc.,126, 2911–2931.
Gelb, A., J. F. Kasper, R. A. Nash, C. F. Price, and A. A. Sutherland (Eds.), 1974:Applied Optimal Estimation. M. I. T. Press, Cambridge, Massachusetts, 323–336.
Grell, G. A., Y.-H. Kuo, and R. Pasch, 1991: Semiprognostic tests of cumulus parameterization schemes in the middle latitudes.Mon. Wea. Rev.,119, 5–31.
Huddleston, J. N., and B. W. Stiles, 2000: Multidimensional histogram (MUDH) rain flag product description (Version 2.1). Jet Propulsion Laboratory, Pasadena, California, 8 pp. [Available online at podaac.jpl.nasa.gov/quikscat/qscatdoc.html].
JPL, 2001: QuikSCAT science data product user’s manual, Version 2.2. Jet Propulsion Laboratory Publ. D-18053, Pasadena, California, 30–33. [Available online at podaac.jpl.nasa.gov/quikscat/qscatdoc.html].
Kazumori, M., K. Okamoto, and H. Owada, 2003: Operational use of the ATOVS radiances in global data assimilation at the JMA.Proc Thirteenth International TOVS Study Conference, Sainte-Adèle, Québec, Canada, 29 October–4 November 2003, 37–42.
Leidner, S. M., L. Isaksen, and R. N. Hoffman, 2003: Impact of NSCAT winds on tropical cyclones in the ECMWF 4DVAR Assimilation System.Mon. Wea. Rev.,131, 3–26.
Liu, K. S., and J. C. L. Chan, 2002: Synoptic flow patterns associated with small and large tropical cyclones over the western North Pacific.Mon. Wea. Rev.,130, 2134–2142.
Long, D. E., and J. M. Mendel, 1991: Identifiability in wind estimation from wind scatterometer measurements.IEEE Trans. Geosci. Remote Sens.,GE-29, 268–276.
Lorenc, A. C., 1992: Iterative analysis using covariance functions and filters.Quart. J. Roy. Meteor. Soc. 118, 569–591.
Mahfouf, J. F., and F. Rabier, 2000: The ECMWF operational implementation of four-dimensional variational assimilation. II: Experimental results with improved physics.Quart. J. Roy. Meteor. Soc.,126, 1171–1190.
McNally, A. P., J. C. Derber, W. Wu, and B. B. Katz, 2000: The use of TOVS level-1b radiances in the NCEP SSI analysis system.Quart. J. Roy. Meteor. Soc.,126, 1171–1190.
Parrish, D., and J. C. Derber, 1992: The National Meteorological Center Spectral Statistical Interpolation analysis.Mon. Wea. Rev.,120, 1747–1763.
Pasch, R. J., S. R. Stewart, and D. P. Brown, 2003: Comments on “Early Detection of Tropical Cyclones Using SeaWinds-Derived Vorticity”.Bull. Amer. Meteor. Soc.,84, 1415–1416.
Shaffer, S. J., R. S. Dunbar, S. V. Hisao, and D. G. Long, 1991: A median-filter-based ambiguity removal algorithm for NSCAT.IEEE Trans. Geosci. Remote Sens.,GE-29, 167–174.
Sharp, R. J., M. A. Bourassa, and J. J. O’Brien, 2002: Early detection of tropical cyclones using SeaWindsderived vorticity.Bull. Amer. Meteor. Soc.,83, 879–889.
Simmons, A. J., and A. Hollingsworth, 2002: Some aspects of the improvements in skill of numerical weather prediction.Quart. J. Roy. Meteor. Soc.,128, 647–677.
Xue, J., 2002: Satellite data assimilation plan in CMA. Topic chairman and rapporteur reports of the Fifth WMO International Workshop on Tropical Cyclones (IWTC-V), WMO/TD. No.1136.
Zhang, D.-L., and R. A. Anthes, 1982: A high-resolution model of the planetary boundary layer: Sensitivity tests and comparisons with SESAME-79 data.J. Appl. Meteor.,21, 1594–1609.
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Zhihua, Z., Yihong, D., Xudong, L. et al. The effect of three-dimensional variational data assimilation of QuikSCAT data on the numerical simulation of typhoon track and intensity. Adv. Atmos. Sci. 22, 534–544 (2005). https://doi.org/10.1007/BF02918486
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DOI: https://doi.org/10.1007/BF02918486