Initialization and simulation of a landfalling hurricane using a variational bogus data assimilation scheme

Monthly Weather Review

Volumn 128, Issue 7 I, 2000, Pages 2252-2269

  Xiao, Qingnong ^a   Zou, Xiaolei ^a   Wang, Bin ^a,b  

^a FLORIDA STATE UNIVERSITY   (United States)

^b INSTITUTE OF ATMOSPHERIC PHYSICS   (China)

Author keywords

[No Author keywords available]

Indexed keywords

DATA ASSIMILATION; HURRICANE; MATHEMATICAL MODELING;

DATA ASSIMILATION; HURRICANE; NUMERICAL MODEL; TROPICAL CYCLONE;

EID: 0033825533     PISSN: 00270644     EISSN: None     Source Type: Journal    
DOI: 10.1175/1520-0493(2000)128<2252:IASOAL>2.0.CO;2     Document Type: Article

References (33)

1. Bender, M. A., R. J. Ross, R. E. Tuleya, and Y. Kurihara, 1993: Improvements in tropical cyclone track and intensity forecasts using the GFDL initialization system. Mon. Wea. Rev., 121, 2046-2061.
2. Blackadar, A. K., 1979: High resolution models of the planetary boundary layer. Advances in Environmental Science and Engineering, Vol. 1, 50-85.
3. Dadhia, J., 1993: A nonhydrostatic version of the Penn State-NCAR mesoscale model: Validation tests and simulation of an Atlantic cyclone and cold front. Mon. Wea. Rev., 121, 1493-1513.
4. Elsberry, R. L., K. A. Emanuel, G. Holland, H. Gerrish, M. DeMaria, and C. Guard, 1992: Is there any hope for tropical cyclone in tensity prediction? A panel discussion. Bull. Amer. Meteor. Soc., 73, 264-275.
5. Fiorino, M., and R. L. Elsberry, 1989: Some aspects of vortex structure related to tropical cyclone motion. J. Atmos. Sci., 46, 975-990.
6. Fujita, T., 1952: Pressure distribution within a typhoon. Geophys. Mag., 23, 437-451.
7. Fujiyoshi, Y., T. Endoh, T. Yamada, K. Tsuboki, Y. Tachibana, and G. Wakahana, 1990: Determination of a Z-R relationship for snowfall using a radar and high sensitivity snow gauges. J. Appl. Meteor., 29, 147-152.
8. Grell, G. A., 1993: Prognostic evaluation of assumptions used by cumulus parameterization. Mon. Wea. Rev., 121, 764-787.
9. _, J. Dudhia, and D. R. Stauffer, 1994; A description of the fifth generation Penn State/NCAR mesoscale model (MM5), NCAR Tech Note NCAR/TN-398+STR, 138 pp.
10. Jorgenson, D. P., and P. T. Wills, 1982: A Z-R relationship for hurricanes. J. Appl. Meteor., 21, 356-366.
11. Krishnamurti, T. N., H. S. Bedi, and K. Ingles, 1993: Physical initialization using SSM/I rain rates. Tellus, 45A, 247-269.
12. _, S. K. Roy Bhowmik, D. Oosterhof, and G. Rohaly, 1995: Mesoscale signatures within the Tropics generated by physical initialization. Mon. Wea. Rev., 123, 2771-2790.
13. _, R. Correa-Torres, G. Rohaly, and D. Oosterhof, 1997: Physical initialization and hurricane ensemble forecasts. Wea. Forecasting, 12, 503-514.
14. _, W. Han, B. Jha, and H. S. Bedi, 1998: Numerical prediction of Hurricane Opal. Mon. Wea. Rev., 126, 1347-1363.
15. Kurihara, Y., and R. J. Ross, 1993: An initialization scheme of hurricane models by vortex specification. Mon. Wea. Rev., 121, 2030-2045.
16. _, M. A. Bender, R. E. Tuleya, and R. J. Ross, 1995: Improvements in the GFDL hurricane prediction system. Mon. Wea. Rev., 123, 2791-2801.
17. Leslie, L. M., and G. J. Holland, 1995: On the bogusing of tropical cyclones in numerical models: A comparision of vortex profiles. Meteor. Atmos. Phys., 56, 101-100.
18. Liu, D. C., and J. Nocedal, 1989: On the limited memory BFGS method for large scale optimization. Math. Proramming, 45, 503-528.
19. Liu, Y., D.-L. Zhang, and M. K. Yau, 1997: A multiscle study of Hurricane Andrew (1992). Part I: Explicit simulation and verification. Mon. Wea. Rev., 125, 3073-3093.
20. Mathur, M. B., 1991: The National Meteorological Center's quasiLagrangian model for hurricane prediction. Mon. Wea. Rev., 109, 1419-1447.
21. Molinari, J., and M. Dudek, 1992: Parameterization of convective precipitation in mesoscale numerical models: A critical review. Mon. Wea. Rev., 120, 326-344.
22. Navon, I. M., X. Zou, J. Derber, and J. Sela, 1992: Variational data assimilation with an adiabatic version of the NMC spectral model. Mon. Wea. Rev., 120, 1433-1446.
23. Pasch, R. J., and L. A. Avila, 1999: Atlantic hurricane season of 1996. Mon. Wea. Rev., 127, 581-610.
24. Peng, M. S., B.-F. Jeng, and C.-P. Chang, 1993: Forecast of typhoon motion in the vicinity of Taiwan during 1989-90 using a dynamical model. Wea. Forecasting. 8, 309-325.
25. Ross, R. J., and Y. Kurihara, 1995: A numerical study on influences of Hurricane Gloria (1985) on the environment. Mon. Wea. Rev., 123, 332-346.
26. Serrano, E., and P. Unden, 1994: Evaluation of a tropical cyclone bogusing method in data assimilation and forecasting. Mon. Wea. Rev., 122, 1523-1547.
27. Ueno, M., 1989: Operational bogussing and numerical prediction of Typhoon in JMA. JMA/NPD Tech. Rep. 28, 48 pp. [Available from Japan Meteorological Agency, Numerical Prediction Division, 1-3-4; Ote-Machi, Chiyodaku, Tokyo, 100, Japan.]
28. Wang, Y., 1998: On the bogusing of tropical cyclones in numerical models: The influence of vertical structure. Meteor. Atmos. Phys., 65, 153-170.
29. Willoughby, H. E., 1995: Mature structure and evolution. Global Perspectives on Tropical Cyclones, WMO Tech. Doc. WMO/ TD-No. 693, 21-62.
30. 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.
31. _, E.-Y. Hsie, and M. W. Moncrieff, 1988: A comparison of explicit and implicit predictions of convective and stratiform precipitating weather system with a meso-β scale numerical model. Quart. J. Roy. Meteor. Soc., 114, 31-60.
32. 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.
33. _, F. Vandenberghe, M. Pondeca, and Y.-H. Kuo, 1997: Introduction to adjoint techniques and the MM5 adjoint modeling system. NCAR Tech. Note NCAR/TN-435-STR, 110 pp.