Targeted observations of tropical cyclone movement based on the adjoint-derived sensitivity steering vector

Journal of the Atmospheric Sciences

Volumn 64, Issue 7, 2007, Pages 2611-2626

  Wu, Chun Chieh ^a   Chen, Jan Huey ^a   Lin, Po Hsiung ^a   Chou, Kun Hsuan ^a  

^a NATIONAL TAIWAN UNIVERSITY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

HURRICANES; STORMS; SURVEILLANCE RADAR; WEATHER FORECASTING;

ADJOINT-DERIVED SENSITIVITY STEERING VECTOR; TARGETED OBSERVATION;

CLIMATOLOGY;

CLIMATOLOGY; HURRICANES; STORMS; SURVEILLANCE RADAR; WEATHER FORECASTING;

HURRICANE; MESOSCALE METEOROLOGY; OBSERVATIONAL METHOD; SENSITIVITY ANALYSIS; TROPICAL CYCLONE; TYPHOON; VECTOR;

EID: 34547792233     PISSN: 00224928     EISSN: None     Source Type: Journal    
DOI: 10.1175/JAS3974.1     Document Type: Article

References (24)

1. Aberson, S. D., 2003: Targeted observations to improve operational tropical cyclone track forecast guidance. Mon. Wea. Rev., 131, 1613-1628.
2. Chan, J. C.-L., and W. M. Gray, 1982: Tropical cyclone movement and surrounding flow relationship. Mon. Wea. Rev., 110, 1354-1376.
3. Errico, R. M., 1997: What is an adjoint model? Bull. Amer. Meteor. Soc., 78, 2577-2591.
4. Etherton, B., C.-C. Wu, S. J. Majumdar, and S. D. Aberson, 2006: A comparison of targeting techniques for 2005 Atlantic tropical cyclones. Preprints, 27th Conf. on Hurricanes and Tropical Meteorology, Monterey, CA, Amer. Meteor. Soc., CD-ROM, P7.3.
5. Gelaro, R., T. E. Rosmond, and R. Daley, 2002: Singular vector calculations with an analysis error variance metric. Mon. Wea. Rev., 130, 1166-1186.
6. Huang, W.-P., C.-C. Wu, P.-H. Lin, and K.-H. Chou, 2006: The impact of the dropwindsonde data from DOTSTAR on the prediction of Typhoon Conson (2004). Preprints, 27th Conf. on Hurricanes and Tropical Meteorology, Monterey, CA, Amer. Meteor. Soc., CD-ROM, 10A.5.
7. Kleist, D. T., and M. C. Morgan, 2005a: Interpretation of the structure and evolution of adjoint-derived forecast sensitivity gradients. Mon. Wea. Rev., 133, 466-484.
8. Kleist, D. T., and M. C. Morgan, 2005b: Application of adjoint-derived forecast sensitivities to the 24-25 January 2000 U.S. East Coast snowstorm. Mon. Wea. Rev., 133, 3148-3175.
9. Langland, R. H., M. A. Shapiro, and R. Gelaro, 2002: Initial condition sensitivity and error growth in forecasts of the 25 January 2000 east coast snowstorm. Mon. Wea. Rev., 130, 957-974.
10. Majumdar, S. J., C. H. Bishop, R. Buizza, and R. Gelaro, 2002: A comparison of ensemble-transform Kalman-filter targeting guidance with ECMWF and NRL total-energy singular-vector guidance. Quart. J. Roy. Meteor. Soc., 128, 2527-2549.
11. Majumdar, S. J., S. D. Aberson, C. H. Bishop, R. Buizza, M. S. Peng, and C. A. Reynolds, 2006: A comparison of adaptive observing guidance for Atlantic tropical cyclones. Mon. Wea. Rev., 134, 2354-2372.
12. Mu, M., and Z. Zhang, 2006: Conditional nonlinear optimal perturbations of a two-dimensional quasigeostrophic model. J. Atmos. Sci., 63, 1587-1604.
13. Neumann, C. J., 1979: On the use of deep-layer mean geopotential height fields in statistical prediction of tropical cyclone motion. Preprints, Sixth Conf. on Probability and Statistics in Atmosphere Sciences, Banff, AB, Canada, Amer. Meteor. Soc., 32-38.
14. Palmer, T. N., R. Gelaro, J. Barkmeijer, and R. Buizza, 1998: Singular vectors, metrics, and adaptive observations. J. Atmos. Sci., 55, 633-653.
15. Peng, M. S., and C. A. Reynolds, 2006: Sensitivity of tropical cyclone forecasts as revealed by singular vectors. J. Atmos. Sci., 63, 2508-2528.
16. Rohaly, G. D., R. H. Langland, and R. Gelaro, 1998: Identifying regions where the forecast of tropical cyclone tracks is most sensitive to initial condition uncertainty using adjoint methods. Preprints, 12th Conf. on Numerical Weather Prediction, Phoenix, AZ, Amer. Meteor. Soc., 337-340.
17. Rosmond, T. E., 1997: A technical description of the NRL adjoint model system. Naval Research Laboratory Tech. Doc. NRL/MR/7532/97/7230, 62 pp. [Available from Naval Research Laboratory, Monterey, CA 93943-5502.]
18. Wu, C.-C., 2006: Targeted observation and data assimilation in track prediction. Proc. Sixth Int. Workshop on Tropical Cyclones, San Jose, Costa Rica, WMO/CAS/WWW, 409-423.
19. Wu, C.-C., T.-S. Huang, W.-P. Huang, and K.-H. Chou, 2003: A new look at the binary interaction: Potential vorticity diagnosis of the unusual southward movement of Typhoon Bopha (2000) and its interaction with Typhoon Saomai (2000). Mon. Wea. Rev., 131, 1289-1300.
20. Wu, C.-C., and Coauthors, 2005: Dropwindsonde Observations for Typhoon Surveillance near the Taiwan Region (DOTSTAR): An overview. Bull. Amer. Meteor. Soc., 86, 787-790.
21. Wu, C.-C., K.-H. Chou, Y. Wang, and Y.-H. Kuo, 2006: Tropical cyclone initialization and prediction based on four-dimensional variational data assimilation. J. Atmos. Sci., 63, 2383-2395.
22. Wu, C.-C., K.-H. Chou, P.-H. Lin, S. D. Aberson, M. S. Peng, and T. Nakazawa, 2007: The impact of dropwindsonde data on typhoon track forecasts in DOTSTAR. Wea. Forecasting, in press.
23. Yang, C.-C., and C.-C. Wu, 2004: Binary interaction between Typhoons Fengshen (2002) and Fungwong (2002) based on the potential vorticity diagnosis. Preprints, 26th Conf. on Hurricanes and Tropical Meteorology, Miami, FL, Amer. Meteor. Soc., 663-664.
24. Zou, X., 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. [Available from NCAR, P.O. Box 3000, Boulder, CO 80307-3000.]