The effect of three-dimensional variational data assimilation of QuikSCAT data on the numerical simulation of typhoon track and intensity

Advances in Atmospheric Sciences

Volumn 22, Issue 4, 2005, Pages 534-544

  Zeng, Zhihua ^a   Duan, Yihong ^a   Liang, Xudong ^a   Ma, Leiming ^a   Chan, Johnny Chung Leung ^a,b  

^a Shanghai Typhoon Institute   (China)

^b CITY UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

MM5 3DVAR; Numerical simulation; QuikSCAT; Typhoon Dujuan

Indexed keywords

EID: 22944437392     PISSN: 02561530     EISSN: None     Source Type: Journal    
DOI: 10.1007/bf02918486     Document Type: Article

References (23)

1. 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.
2. 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.
3. 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.
4. 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.
5. 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.
6. 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.
7. 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.
8. 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/qscat_doc.html].
9. 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/qscat_doc.html].
10. 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.
11. 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.
12. 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.
13. 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.
14. Lorenc, A. C., 1992: Iterative analysis using covariance functions and filters. Quart. J. Roy. Meteor. Soc., 118, 569-591.
15. 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.
16. 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.
17. Parrish, D., and J. C. Derber, 1992: The National Meteorological Center Spectral Statistical Interpolation analysis. Mon. Wea. Rev., 120, 1747-1763.
18. 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.
19. 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.
20. Sharp, R. J., M. A. Bourassa, and J. J. O'Brien, 2002: Early detection of tropical cyclones using SeaWinds-derived vorticity. Bull. Amer. Meteor. Soc., 83, 879-889.
21. 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.
22. 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.
23. 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.