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Volumn 138, Issue 4, 2010, Pages 1050-1083

Filtering turbulent sparsely observed geophysical flows

Author keywords

Filtering techniques; Kalman filter; Rossby waves; Turbulence

Indexed keywords

BAROCLINIC INSTABILITY; BAROTROPIC; CENTRAL PROBLEMS; COMPUTATIONAL COSTS; DATA ASSIMILATION; ENSEMBLE ADJUSTMENT KALMAN FILTER; FILTERING PERFORMANCE; FILTERING TECHNIQUE; FILTERING TECHNIQUES; GEOPHYSICAL FLOWS; LOCAL LEAST SQUARES; MODEL ERRORS; MULTIPLICATIVE BIAS; NON-GAUSSIAN STATISTICS; ON THE FLIES; QUASI-GEOSTROPHIC MODEL; REGIME TRANSITION; RMS ERRORS; ROSSBY WAVE; ROSSBY WAVES; SHEAR TURBULENCES; SPATIAL PATTERNS; STOCHASTIC FILTERING; STRINGENT TEST; TURBULENT CASCADE; TURBULENT FLUCTUATION; TURBULENT SPECTRUM; TWO LAYERS; ZONAL JETS;

EID: 77955547132     PISSN: 00270644     EISSN: None     Source Type: Journal    
DOI: 10.1175/2009MWR3113.1     Document Type: Article
Times cited : (42)

References (41)
  • 2
    • 0035655814 scopus 로고    scopus 로고
    • An ensemble adjustment Kalman filter for data assimilation
    • Anderson, J., 2001: An ensemble adjustment Kalman filter for data assimilation. Mon. Wea. Rev., 129, 2884-2903.
    • (2001) Mon. Wea. Rev. , vol.129 , pp. 2884-2903
    • Anderson, J.1
  • 3
    • 0042821672 scopus 로고    scopus 로고
    • A local least squares framework for ensemble filtering
    • Anderson, J., 2003: A local least squares framework for ensemble filtering. Mon. Wea. Rev., 131, 634-642.
    • (2003) Mon. Wea. Rev. , vol.131 , pp. 634-642
    • Anderson, J.1
  • 4
    • 34247642674 scopus 로고    scopus 로고
    • An adaptive covariance inflation error correction algorithm for ensemble filters
    • Anderson, J., 2007: An adaptive covariance inflation error correction algorithm for ensemble filters. Tellus, 59A, 210-224.
    • (2007) Tellus , vol.59 A , pp. 210-224
    • Anderson, J.1
  • 5
    • 33645575318 scopus 로고    scopus 로고
    • Local ensemble Kalman filtering in the presence of model bias
    • Baek, S.-J., B. Hunt, E. Kalnay, E. Ott, and I. Szunyogh, 2006: Local ensemble Kalman filtering in the presence of model bias. Tellus, 58A, 293-306.
    • (2006) Tellus , vol.58 A , pp. 293-306
    • Baek, S.-J.1    Hunt, B.2    Kalnay, E.3    Ott, E.4    Szunyogh, I.5
  • 6
    • 0035270690 scopus 로고    scopus 로고
    • Adaptive sampling with the ensemble transform Kalman filter Part I: The theoretical aspects
    • Bishop, C., B. Etherton, and S. Majumdar, 2001: Adaptive sampling with the ensemble transform Kalman filter. Part I: The theoretical aspects. Mon. Wea. Rev., 129, 420-436.
    • (2001) Mon. Wea. Rev. , vol.129 , pp. 420-436
    • Bishop, C.1    Etherton, B.2    Majumdar, S.3
  • 7
    • 0002531176 scopus 로고    scopus 로고
    • Potential forecast skill of ensemble prediction and spread and skill distributions of the ECMWF ensemble prediction system
    • Buizza, R., 1997: Potential forecast skill of ensemble prediction and spread and skill distributions of the ECMWF ensemble prediction system. Mon. Wea. Rev., 125, 99-119.
    • (1997) Mon. Wea. Rev. , vol.125 , pp. 99-119
    • Buizza, R.1
  • 8
    • 0030424167 scopus 로고    scopus 로고
    • Mapping tropical Pacific sea level: Data assimilation via a reduced state space Kalman filter
    • Cane, M., A. Kaplan, R. Miller, B. Tang, E. Hackert, and A. Busalacchi, 1996: Mapping tropical Pacific sea level: Data assimilation via a reduced state space Kalman filter. J. Geophys. Res., 101, 22 599-22 617.
    • (1996) J. Geophys. Res. , vol.101
    • Cane, M.1    Kaplan, A.2    Miller, R.3    Tang, B.4    Hackert, E.5    Busalacchi, A.6
  • 9
    • 39649123724 scopus 로고    scopus 로고
    • Mathematical criteria for filtering complex systems: Plentiful observations
    • Castronovo, E., J. Harlim, and A. Majda, 2008: Mathematical criteria for filtering complex systems: Plentiful observations. J. Comput. Phys., 227 (7), 3678-3714.
    • (2008) J. Comput. Phys. , vol.227 , Issue.7 , pp. 3678-3714
    • Castronovo, E.1    Harlim, J.2    Majda, A.3
  • 11
    • 0000674568 scopus 로고    scopus 로고
    • Data assimilation in the presence of forecast bias
    • Dee, D., and A. Da Silva, 1998: Data assimilation in the presence of forecast bias. Quart. J. Roy. Meteor. Soc., 124, 269-295.
    • (1998) Quart. J. Roy. Meteor. Soc. , vol.124 , pp. 269-295
    • Dee, D.1    Da Silva, A.2
  • 12
    • 0034277367 scopus 로고    scopus 로고
    • Data assimilation in the presence of forecast bias: The GEOS moisture analysis
    • Dee, D., and R. Todling, 2000: Data assimilation in the presence of forecast bias: The GEOS moisture analysis. Mon. Wea. Rev., 128, 3268-3282.
    • (2000) Mon. Wea. Rev. , vol.128 , pp. 3268-3282
    • Dee, D.1    Todling, R.2
  • 13
    • 0030466551 scopus 로고    scopus 로고
    • Can quasigeostrophic turbulence be modeled stochastically?
    • Delsole, T., 1996: Can quasigeostrophic turbulence be modeled stochastically? J. Atmos. Sci., 53, 1617-1633.
    • (1996) J. Atmos. Sci. , vol.53 , pp. 1617-1633
    • Delsole, T.1
  • 14
    • 2442433325 scopus 로고    scopus 로고
    • Stochastic models of quasigeostrophic turbulence
    • Delsole, T., 2004: Stochastic models of quasigeostrophic turbulence. Surv. Geophys., 25 (2), 107-149.
    • (2004) Surv. Geophys. , vol.25 , Issue.2 , pp. 107-149
    • Delsole, T.1
  • 15
    • 0028193070 scopus 로고
    • Sequential data assimilation with a nonlinear quasi-geostrophic model using Monte Carlo methods to forecast error statistics
    • Evensen, G., 1994: Sequential data assimilation with a nonlinear quasi-geostrophic model using Monte Carlo methods to forecast error statistics. J. Geophys. Res., 99C, 10 143-10 162.
    • (1994) J. Geophys. Res. , vol.99 C
    • Evensen, G.1
  • 16
    • 33645104155 scopus 로고    scopus 로고
    • Low-order stochastic mode reduction for a prototype atmospheric GCM
    • Franzke, C., and A. Majda, 2006: Low-order stochastic mode reduction for a prototype atmospheric GCM. J. Atmos. Sci., 63, 457-479.
    • (2006) J. Atmos. Sci. , vol.63 , pp. 457-479
    • Franzke, C.1    Majda, A.2
  • 17
    • 0014552637 scopus 로고
    • Treatment of bias in recursive filtering
    • Friedland, B., 1969: Treatment of bias in recursive filtering. IEEE Trans. Automat. Contr., AC-14, 359-367.
    • (1969) IEEE Trans. Automat. Contr. , vol.AC-14 , pp. 359-367
    • Friedland, B.1
  • 18
    • 0020087929 scopus 로고
    • Estimating sudden changes of biases in linear dynamic systems
    • Friedland, B., 1982: Estimating sudden changes of biases in linear dynamic systems. IEEE Trans. Automat. Contr., AC-27, 237-240.
    • (1982) IEEE Trans. Automat. Contr. , vol.AC-27 , pp. 237-240
    • Friedland, B.1
  • 20
    • 56349129188 scopus 로고    scopus 로고
    • A nonlinear test model for filtering slow-fast systems
    • Gershgorin, B., and A. Majda, 2008: A nonlinear test model for filtering slow-fast systems. Comm. Math. Sci., 6 (3), 611-649.
    • (2008) Comm. Math. Sci. , vol.6 , Issue.3 , pp. 611-649
    • Gershgorin, B.1    Majda, A.2
  • 21
    • 77954691038 scopus 로고    scopus 로고
    • Filtering a nonlinear slow-fast system with strong fast forcing
    • Gershgorin, B., and A. Majda, 2010: Filtering a nonlinear slow-fast system with strong fast forcing. Comm. Math. Sci., 8, 67-92.
    • (2010) Comm. Math. Sci. , vol.8 , pp. 67-92
    • Gershgorin, B.1    Majda, A.2
  • 22
    • 70350427663 scopus 로고    scopus 로고
    • Improving filtering and prediction of spatially extended turbulent systems with model errors through stochastic parameter estimation
    • Gershgorin, B., J. Harlim, and A. Majda, 2009a: Improving filtering and prediction of spatially extended turbulent systems with model errors through stochastic parameter estimation. J. Comput. Phys., 229, 32-57.
    • (2009) J. Comput. Phys. , vol.229 , pp. 32-57
    • Gershgorin, B.1    Harlim, J.2    Majda, A.3
  • 23
    • 70350425221 scopus 로고    scopus 로고
    • Test models for improving filtering with model errors through stochastic parameter estimation
    • Gershgorin, B., J. Harlim, and A. Majda, 2009b: Test models for improving filtering with model errors through stochastic parameter estimation. J. Comput. Phys., 229, 1-32.
    • (2009) J. Comput. Phys. , vol.229 , pp. 1-32
    • Gershgorin, B.1    Harlim, J.2    Majda, A.3
  • 24
    • 0035506430 scopus 로고    scopus 로고
    • Distance-dependent filtering of background error covariance estimates in an ensemble Kalman filter
    • Hamill, T., J. Whitaker, and C. Snyder, 2001: Distance-dependent filtering of background error covariance estimates in an ensemble Kalman filter. Mon. Wea. Rev., 129, 2776-2790.
    • (2001) Mon. Wea. Rev. , vol.129 , pp. 2776-2790
    • Hamill, T.1    Whitaker, J.2    Snyder, C.3
  • 25
    • 44949245827 scopus 로고    scopus 로고
    • Filtering nonlinear dynamical systems with linear stochastic models
    • Harlim, J., and A. Majda, 2008a: Filtering nonlinear dynamical systems with linear stochastic models. Nonlinearity, 21, 1281-1306.
    • (2008) Nonlinearity , vol.21 , pp. 1281-1306
    • Harlim, J.1    Majda, A.2
  • 26
    • 41249100391 scopus 로고    scopus 로고
    • Mathematical strategies for filtering complex systems: Regularly spaced sparse observations
    • Harlim, J., and A. Majda, 2008b: Mathematical strategies for filtering complex systems: Regularly spaced sparse observations. J. Comput. Phys., 227, 5304-5341.
    • (2008) J. Comput. Phys. , vol.227 , pp. 5304-5341
    • Harlim, J.1    Majda, A.2
  • 27
    • 77953316289 scopus 로고    scopus 로고
    • Catastrophic filter divergence in filtering nonlinear dissipative systems
    • Harlim, J., and A. Majda, 2010: Catastrophic filter divergence in filtering nonlinear dissipative systems. Comm. Math. Sci., 8, 27-42.
    • (2010) Comm. Math. Sci. , vol.8 , pp. 27-42
    • Harlim, J.1    Majda, A.2
  • 28
    • 0035129828 scopus 로고    scopus 로고
    • A sequential ensemble Kalman filter for atmospheric data assimilation
    • Houtekamer, P., and H. Mitchell, 2001: A sequential ensemble Kalman filter for atmospheric data assimilation. Mon. Wea. Rev., 129, 123-137.
    • (2001) Mon. Wea. Rev. , vol.129 , pp. 123-137
    • Houtekamer, P.1    Mitchell, H.2
  • 29
    • 0001332237 scopus 로고
    • Stochastic Processes and Filtering Theory
    • Jazwinski, A., 1970: Stochastic Processes and Filtering Theory. Academic, 376 pp.
    • (1970) Academic , pp. 376
    • Jazwinski, A.1
  • 30
    • 23744485056 scopus 로고    scopus 로고
    • Predictability in a model of geophysical turbulence
    • Kleeman, R., and A. Majda, 2005: Predictability in a model of geophysical turbulence. J. Atmos. Sci., 62, 2864-2879.
    • (2005) J. Atmos. Sci. , vol.62 , pp. 2864-2879
    • Kleeman, R.1    Majda, A.2
  • 31
    • 0001846226 scopus 로고    scopus 로고
    • Predictability-A problem partly solved
    • Reading, United Kingdom, ECMWF
    • Lorenz, E., 1996: Predictability-A problem partly solved. Proc. Workshop on Predictability, Reading, United Kingdom, ECMWF, 1-18.
    • (1996) Proc. Workshop on Predictability , pp. 1-18
    • Lorenz, E.1
  • 32
    • 0032004313 scopus 로고    scopus 로고
    • Optimal sites for supplementary weather observations: Simulation with a small model
    • Lorenz, E., and K. Emanuel, 1998: Optimal sites for supplementary weather observations: Simulation with a small model. J. Atmos. Sci., 55, 399-414.
    • (1998) J. Atmos. Sci. , vol.55 , pp. 399-414
    • Lorenz, E.1    Emanuel, K.2
  • 33
    • 10644246719 scopus 로고    scopus 로고
    • Low dimensional chaotic dynamics versus intrinsic stochastic chaos: A paradigm model
    • Majda, A., and I. Timofeyev, 2004: Low dimensional chaotic dynamics versus intrinsic stochastic chaos: A paradigm model. Physica D, 199, 339-368.
    • (2004) Physica D , vol.199 , pp. 339-368
    • Majda, A.1    Timofeyev, I.2
  • 34
    • 33846636049 scopus 로고    scopus 로고
    • Explicit off-line criteria for stable accurate time filtering of strongly unstable spatially extended systems
    • Majda, A., and M. Grote, 2007: Explicit off-line criteria for stable accurate time filtering of strongly unstable spatially extended systems. Proc. Natl. Acad. Sci. USA, 104, 1124-1129.
    • (2007) Proc. Natl. Acad. Sci. USA , vol.104 , pp. 1124-1129
    • Majda, A.1    Grote, M.2
  • 35
    • 0043127074 scopus 로고    scopus 로고
    • Systematic strategies for stochastic mode reduction in climate
    • Majda, A., I. Timofeyev, and E. Vanden-Eijnden, 2003: Systematic strategies for stochastic mode reduction in climate. J. Atmos. Sci., 60, 1705-1722.
    • (2003) J. Atmos. Sci. , vol.60 , pp. 1705-1722
    • Majda, A.1    Timofeyev, I.2    Vanden-Eijnden, E.3
  • 36
    • 34548411618 scopus 로고    scopus 로고
    • Information Theory and Stochastics for Multiscale Nonlinear Systems
    • American Mathematical Society
    • Majda, A., R. Abramov, and M. Grote, 2005: Information Theory and Stochastics for Multiscale Nonlinear Systems. CRM Monograph Series, Vol. 25, American Mathematical Society, 43 pp.
    • (2005) CRM Monograph Series , vol.25 , pp. 43
    • Majda, A.1    Abramov, R.2    Grote, M.3
  • 38
    • 0010385470 scopus 로고
    • Application of stochastic dynamic prediction to real data
    • Pitcher, E., 1977: Application of stochastic dynamic prediction to real data. J. Atmos. Sci., 34, 3-21.
    • (1977) J. Atmos. Sci. , vol.34 , pp. 3-21
    • Pitcher, E.1
  • 41
    • 0032999101 scopus 로고    scopus 로고
    • The relationship between ensemble spread and ensemble mean skill
    • Whitaker, J., and A. Loughe, 1998: The relationship between ensemble spread and ensemble mean skill. Mon. Wea. Rev., 126, 3292-3302.
    • (1998) Mon. Wea. Rev. , vol.126 , pp. 3292-3302
    • Whitaker, J.1    Loughe, A.2


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