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Tellus A: Dynamic Meteorology and Oceanography Volume 63, 2011 - Issue 5
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Original Articles

Application of conditional non-linear optimal perturbations to tropical cyclone adaptive observation using theWeather Research Forecasting (WRF) model

Hongli WangNational Center for Atmospheric Research†, P.O. Box 3000, Boulder, Colorado, 80307, USA;Correspondencee-mail: [email protected]
,
Mu MuKey Laboratory of Ocean Circulation and Waves, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, Shandong, China
&
Xiang-Yu HuangNational Center for Atmospheric Research†, P.O. Box 3000, Boulder, Colorado, 80307, USA;
Pages 939-957 | Received 19 Apr 2011, Accepted 28 Jun 2011, Published online: 15 Dec 2016

  • Aberson, S. D. 2003. Targeted observations to improve operational trop-ical cyclone track. Mon. Weather Rev. 131, 1613–1628.
  • Aberson, S. D. and Etherton, B. J. 2006. Targeting and data assimila-tion studies during Hurricane Humberto (2001). J. Atmos. Sci. 63, 175–186.
  • Barker, D. M., Huang, W., Guo, Y-R., Bourgeois, A. J. and Xiao, Q. N. 2004. A three-dimensional variational data assimilation sys-tem for MM5: implementation and initial results. Mon. Weather Rev. 132, 897-914.
  • Barker, D. M., Lee, M. S., Guo, Y.-R., Huang, W., Rizvi, S. and co-authors. 2005. WRF-Var—a unified 3/4D-Var variational data assim-ilation system for WRF. In: Proceedings of the Sixth WRFI15th MM5 Users’ Workshop, NCAR, Boulder, CO,17 pp.
  • Birgin, E. G., Martinez, J. E. and Marcos, R. 2001. Algorithm 813: SPG—software for convex-constrained optimization. ACM Trans. Math. Softw 27, 340-349.
  • Bishop, C. H. and Toth, Z. 1999. Ensemble transformation and adaptive observations. J. Atmos. Sci. 56, 1748–1765.
  • Bishop, C. H., Etherton, B. J. and Majumdar, S. J. 2001. Adaptive sampling with the ensemble transform Kalman filter. Part I: theoretical aspects. Mon. Weather Rev. 129, 430-436.
  • Cardinali, C., Buizza, R., Kelly, G., Shapiro, M. and Thepaut, J.-N. 2007. The value of observations. Part DI: influence of weather regimes on targeting. Q. J. R. MeteoroL Soc. 133, 1833–1842.
  • Duan, W. S., Mu, M. and Wang, B. 2004. Conditional nonlinear op-timal perturbations as the optimal precursors for El Nino-Southern Oscillation events. J. Geophys. Res. 109, 1029–1041.
  • Ehrendorfer, M. and Errico, R. M. 1995. Mesoscale predictability and the spectrum of optimal perturbations. J. Atmos. Sci. 52, 3475–3500.
  • Ehrendorfer, M., Errico, R. M. and Raeder, K. D. 1999. Singular-vector perturbation growth in a primitive equation model with moist physics. J. Atmos. Sci. 56, 1627–1648.
  • Errico, R. M. 1985. Spectra computed from a limited area grid. Mon. Weather Rev. 113, 1554–1562.
  • Grell, G. A., Dudhia, J. and Stauffer, D. R. 1995. A description of the fifth generation Penn State/NCAR Mesoscale Model (MM5). NCAR Tech. Note NCARTTN-398±STR,122 pp.
  • Gustafsson, N. and Huang, X.-Y. 1996. Sensitivity experiments with the spectral HIRLAM and its adjoint. Tellus 48A, 501–517.
  • Hamill, T. M. and Snyder, C. 2002. Using improved background error covariances from an ensemble Kalman filter for adaptive observations. Mon. Weather Rev. 130, 1552–1572.
  • Hoover, B. T. and Morgan, M. C. 2010. Validation of a tropical cyclone steering response function with a barotropic adjoint model. J. Atmos. Sci. 67, 1806–1816.
  • Hsiao, L.-E, Liou, C.-S., Yeh, T.-C., Guo, Y.-R., Chen, D.-S. and co-authors. 2010. A vortex relocation scheme for tropical cyclone initialization in Advanced Research WRF. Mon. Weather Rev. 138, 3298-3315.
  • Huang, X.-Y., Xiao, Q. N., Barker, D. M., Zhang, X., Michalakes, J. and co-authors. 2009. Four-dimensional variational data assimilation for WRF: formulation and preliminary results. Mon. Weather Rev. 137, 299-314.
  • Jiang, Z. N. and Mu, M. 2009. A comparison study of the methods of conditional nonlinear optimal perturbations and singular vectors in ensemble prediction. Adv. Atmos. Sci. 26,465–470.
  • Langland R. H. 2005. Issues in targeted observing. Q. J. R. MeteoroL Soc. 131, 3409–3425.
  • Langland, R. H. and Rohaly, G. D. 1996. Analysis error and adjoint sensi-tivity in prediction of a North Atlantic frontal cyclone. In: Proceedings of the 11th Conf on Numerical Weather Prediction, Preprints, Amer. Meteor. Soc.150-152.
  • Lorenz, E. N. and Emanuel, K. A. 1998. Optimal sites for supplementary weather observations: simulation with a small model. J. Atmos. Sci. 55, 399–414.
  • Majumdar, S. J., Aberson, S. D., Bishop, C. H., Buizza, R., Peng, M. S. and co-authors. 2006. A comparison of adaptive observing guidance for Atlantic tropical cyclones. Mon. Weather Rev. 134, 2354-2372.
  • Montani, A., Thorpe, A. J., Buizza, R. and Unden, P. 2006. Forecast skill of the ECMWF model using targeted observations during FASTEX. Q. J. R. MeteoroL Soc. 125, 3219-3240.
  • Mu, M. and Duan, W. S. 2003. A new approach to studying ENSO predictability: conditional nonlinear optimal perturbation. Chin. Sci. Bull. 48, 1045–1047.
  • Mu, M. and Zhang, Z. Y. 2006. Conditional nonlinear optimal pertur-bations of a two-dimensional quasigeostrophic model. J. Atmos. Sci. 63, 1587–1604.
  • Mu, M., Wang, H. L. and Zhou, F. F. 2007. Application of conditional op-timal perturbation to adaptive observation: preliminary results. Chin. J. Atmos. Sci. 31, 1102–1112.
  • Mu, M., Zhou, F. E and Wang, H. L. 2009. A method for identifying the sensitive areas in targeted observations for tropical cyclone prediction: conditional nonlinear optimal perturbation. Mon. Weather Rev. 137, 1623–1639.
  • Palmer, T. N., Gelaro, R., Barameijer, J. and Buizza, R. 1998. Sin-gular vectors, metrics, and adaptive observations. J. Atmos. Sci. 55, 633–653.
  • Parrish, D. F. and Derber, J. C. 1992. The National Meteorological Cen-ter’s spectral statistical-interpolation analysis system. Mon. Weather Rev. 120, 1747–1763.
  • Pu, Z. X. and Kalnay, E. 1999. Targeting observations with the quasi-linear inverse and adjoint NCEP global models: performance during FASTEX. Q. J. R. MeteoroL Soc. 125, 3329–3337.
  • Qin, Q. H. and Mu, M. 2011. A study on the reduction of forecast error variance by three adaptive observation approaches for tropical cyclone prediction. Mon. Weather Rev. 139, 2218–2232.
  • Rabier, F., Klinker, E., Courtier, P. and Hollingsworth, A. 1996. Sensi-tivity of forecast errors to initial conditions. Q. J. R. MeteoroL Soc. 122, 121–150.
  • Reynolds, C. A., Peng, M. S., Majumdar, S. J., Aberson, S. D., Bishop, C. H. and co-authors. 2007. Interpretation of adaptive observing guidance for Atlantic tropical cyclones. Mon. Weather Rev. 135, 4006-4029.
  • Skamarock, W. C., Klemp, J. B., Dudhia, J., Gill, D. O., Barker, D. M., and co-authors. 2008. A description of the advanced research WRF version 3. NCAR Tech. Note TN-475±STR, 113 pp.
  • Wang, H. L., Sun J. Z., Guo Y.-R. and Huang X.-Y. 2011. Radar re-flectivity assimilation with the four-dimensional variational system of the Weather Research and Forecast Model. In: Proceedings of the 91st American Meteorological Society Annual Meeting. Seattle, WA. Available at: http://ams.confex.com/ams/91Annua1/webprogram/Manuscript/Paper185272/4DVAR_RF_AMS2011_Wang.pdf. Accessed on 23-27 January 2011.
  • Wu, C. C., Chen, J. H. and Lin, P. H. 2007a. The impact of drop-windsonde data on typhoon track forecasts in DOTSTAR. Weather Forecast. 22, 1157–1176.
  • Wu, C. C., Chen, J. H., Lin, P. H. and Chou, K. H. 2007b. Targeted ob-servations of tropical cyclone movement based on the adjoint-derived sensitivity steering vector. J. Atmos. Sci. 64, 2611-2626.
  • Wu, C. C., Chen, J. H., Majumdar, S. J., Peng, M. S., Reynolds, C. A. and co-authors. 2009a. Intercomparison of targeted observation guidance for tropical cyclones in the northwestern Pacific. Mon. Weather Rev. 137, 2471-2492.
  • Wu, C. C., Chen, S.-G., Chen, J. H., Chou, K.-H. and Lin, P.-H. 2009b. Interaction of typhoon Shanshan (2006) with the midlatitude trough from both adjoint-derived sensitivity steering vector and potential voracity perspectives. Mon. Weather Rev. 137, 852-862.
  • Xiao, Q. N., Kuo, Y.-H., Ma, Z. Z., Huang, W., Huang, X.-Y., and co-authors. 2008. Development of the WRF adjoint modeling system and its application to the investigation of the May 2004 McMurdo Antarctica severe wind event. Mon. Weather Rev. 136, 3696-3713.
  • Zhang, M., Zhang F. Q., Huang X.-Y. and Zhang X. 2010. Inter-comparison of an ensemble Kalman filter with three-and four-dimensional variational data assimilation methods in a limited-area model over the month ofJune 2003. Mon. Weather Rev. 139,566–572.
  • Zhou F. F. and Mu M. 2011. The impact of verification area design on tropical cyclone targeted observations based on the CNOP method. Adv. Atmos. Sci. In press.
  • Zou, X. L., Vandenberghe, E, Pondeca, M. and Kuo Y.-H. 1997. Introduction to adjoint techniques and the MM5 adjoint model-ing system. NCAR Technical Note, NCAR/TN2435 STR, 110 pp, [Available from NCAR, P.O. Box 3000, Boulder, CO 80307-3000].

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