메뉴 건너뛰기




Volumn 138, Issue 2, 2010, Pages 539-562

Simultaneous estimation of microphysical parameters and the atmospheric state using simulated polarimetric radar data and an ensemble Kalman filter in the presence of an observation operator error

Author keywords

[No Author keywords available]

Indexed keywords

BULK DENSITY; CORRECT ERROR; DIFFERENTIAL REFLECTIVITY; ENSEMBLE KALMAN FILTER; ESTIMATION PROBLEM; ESTIMATION PROCESS; FORECAST MODEL; HIGHLY NONLINEAR; HORIZONTAL POLARIZATION; INTERCEPT PARAMETERS; MICROPHYSICAL PARAMETERS; MODEL ERRORS; OBSERVATION OPERATOR; OBSERVING SYSTEM SIMULATION EXPERIMENTS; PARAMETER AND STATE ESTIMATION; PARAMETER VALUES; POLARIMETRIC DATA; POLARIMETRIC MEASUREMENTS; POLARIMETRIC RADARS; RADAR REFLECTIVITIES; RADIAL VELOCITY; SIMULTANEOUS ESTIMATION; SPECIFIC DIFFERENTIAL PHASE; SQUARE ROOT KALMAN FILTER; STATE VARIABLES; THREE PARAMETERS; UNCERTAIN PARAMETERS;

EID: 77953061918     PISSN: 00270644     EISSN: None     Source Type: Journal    
DOI: 10.1175/2009MWR2748.1     Document Type: Article
Times cited : (44)

References (53)
  • 1
    • 33750616040 scopus 로고    scopus 로고
    • Ensemblebased simultaneous state and parameter estimation with MM5
    • doi:10.1029/2006GL026186
    • Aksoy,A., F. Zhang, and J.W. Nielsen-Gammon, 2006a: Ensemblebased simultaneous state and parameter estimation with MM5. Geophys. Res. Lett., 33, L12801, doi:10.1029/2006GL026186.
    • (2006) Geophys. Res. Lett. , vol.33
    • Aksoy, A.1    Zhang, F.2    Nielsen-Gammon, J.W.3
  • 2
    • 33750467661 scopus 로고    scopus 로고
    • Ensemble-based simutaneous state and parameter estimation in a two-dimensional sea breeze model
    • Aksoy,A., F. Zhang, and J.W. Nielsen-Gammon, 2006b: Ensemble-based simutaneous state and parameter estimation in a two-dimensional sea breeze model. Mon. Wea. Rev., 134, 2951-2970.
    • (2006) Mon. Wea. Rev. , vol.134 , pp. 2951-2970
    • Aksoy, A.1    Zhang, F.2    Nielsen-Gammon, J.W.3
  • 3
    • 0035655814 scopus 로고    scopus 로고
    • An ensemble adjustment Kalman filter for data assimilation
    • Anderson, J. L., 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.L.1
  • 4
    • 8744246331 scopus 로고    scopus 로고
    • Efficient parameter estimation for a highly chaotic system
    • Annan, J. D., and J. C. Hargreaves, 2004: Efficient parameter estimation for a highly chaotic system. Tellus, 56A, 520-526.
    • (2004) Tellus , vol.56 A , pp. 520-526
    • Annan, J.D.1    Hargreaves, J.C.2
  • 5
    • 3343006936 scopus 로고    scopus 로고
    • Parameter estimation in an intermediate complexity earth system model using an ensemble Kalman filter
    • Annan, J. D., and J. C. Hargreaves, N. R. Edwards, and R. Marsh, 2005a: Parameter estimation in an intermediate complexity earth system model using an ensemble Kalman filter. Ocean Modell., 8, 135-154.
    • (2005) Ocean Modell. , vol.8 , pp. 135-154
    • Annan, J.D.1    Hargreaves, J.C.2    Edwards, N.R.3    Marsh, R.4
  • 6
    • 17144401880 scopus 로고    scopus 로고
    • Parameter estimation in an atmospheric GCM using the ensemble Kalman filter
    • Annan, J. D., D. J. Lunt, J. C. Hargreaves, and P. J. Valdes, 2005b: Parameter estimation in an atmospheric GCM using the ensemble Kalman filter. Nonlinear Processes Geophys., 12, 363-371.
    • (2005) Nonlinear Processes Geophys. , vol.12 , pp. 363-371
    • Annan, J.D.1    Lunt, D.J.2    Hargreaves, J.C.3    Valdes, P.J.4
  • 7
    • 0035270690 scopus 로고    scopus 로고
    • Adaptive sampling with the ensemble transform Kalman filter. Part I: Theoretical aspects
    • Bishop, C. H., B. J. Etherton, and S. J. Majumdar, 2001: Adaptive sampling with the ensemble transform Kalman filter. Part I: Theoretical aspects. Mon. Wea. Rev., 129, 420-436.
    • (2001) Mon. Wea. Rev. , vol.129 , pp. 420-436
    • Bishop, C.H.1    Etherton, B.J.2    Majumdar, S.J.3
  • 8
    • 34250312054 scopus 로고    scopus 로고
    • A statistical and physical description of hydrometeor distributions in a Colorado snowstorm using a video disdrometer
    • Brandes, E. A., K. Ikwda, G. Zhang, M. Schonhuber, and R. M. Rasmussen, 2007: A statistical and physical description of hydrometeor distributions in a Colorado snowstorm using a video disdrometer. J. Appl. Meteor. Climatol., 46, 634-650.
    • (2007) J. Appl. Meteor. Climatol. , vol.46 , pp. 634-650
    • Brandes, E.A.1    Ikwda, K.2    Zhang, G.3    Schonhuber, M.4    Rasmussen, R.M.5
  • 9
    • 0032439201 scopus 로고    scopus 로고
    • Analysis scheme in the ensemble Kalman filter
    • Burgers, G., P. J.Van Leeuwen, andG.Evensen, 1998: Analysis scheme in the ensemble Kalman filter. Mon. Wea. Rev., 126, 1719-1724.
    • (1998) Mon. Wea. Rev. , vol.126 , pp. 1719-1724
    • Burgers, G.1    Van Leeuwen, P.J.2    Evensen, G.3
  • 10
    • 0023123538 scopus 로고
    • Variational assimilation of meteorological observations with the adjoint equation. Part II: Numerical results
    • Courtier, P., and O. Talagrand, 1987: Variational assimilation of meteorological observations with the adjoint equation. Part II: Numerical results. Quart. J. Roy. Meteor. Soc., 113, 1329-1347.
    • (1987) Quart. J. Roy. Meteor. Soc. , vol.113 , pp. 1329-1347
    • Courtier, P.1    Talagrand, O.2
  • 11
    • 0000991256 scopus 로고
    • On-line estimation of error covariance parameters for atmospheric data assimilation
    • Dee, D. P., 1995: On-line estimation of error covariance parameters for atmospheric data assimilation. Mon. Wea. Rev., 123, 1128-1145.
    • (1995) Mon. Wea. Rev. , vol.123 , pp. 1128-1145
    • Dee, D.P.1
  • 12
    • 0032750664 scopus 로고    scopus 로고
    • Maximum-likelihood estimation of forecast and observation error covariance parameters. Part I: Methodology
    • Dee, D. P., and A. M. da Silva, 1999: Maximum-likelihood estimation of forecast and observation error covariance parameters. Part I: Methodology. Mon. Wea. Rev., 127, 1822-1834.
    • (1999) Mon. Wea. Rev. , vol.127 , pp. 1822-1834
    • Dee, D.P.1    da Silva, A.M.2
  • 13
    • 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., 99 (C5), 10 143-10 162.
    • (1994) J. Geophys. Res. , vol.99 , Issue.C5
    • Evensen, G.1
  • 14
    • 84884550570 scopus 로고    scopus 로고
    • The ensemble Kalman filter: Theoretical formulation and practical implementation
    • Evensen, G., 2003: The ensemble Kalman filter: Theoretical formulation and practical implementation. Ocean Dyn., 53, 343-367.
    • (2003) Ocean Dyn. , vol.53 , pp. 343-367
    • Evensen, G.1
  • 15
    • 0002162819 scopus 로고    scopus 로고
    • Assimilation of Geosat altimeter data for the Agulhas Current using the ensemble Kalman filterwith a quasigeostrophic model
    • Evensen, G., and P. J. van Leeuwen, 1996: Assimilation of Geosat altimeter data for the Agulhas Current using the ensemble Kalman filterwith a quasigeostrophic model.Mon.Wea. Rev., 124, 85-96.
    • (1996) Mon. Wea. Rev. , vol.124 , pp. 85-96
    • Evensen, G.1    van Leeuwen, P.J.2
  • 16
    • 44449142391 scopus 로고    scopus 로고
    • An efficient dual-resolution approach for ensemble data assimilation and tests with simulated Doppler radar data
    • Gao, J., and M. Xue, 2008: An efficient dual-resolution approach for ensemble data assimilation and tests with simulated Doppler radar data. Mon. Wea. Rev., 136, 945-963.
    • (2008) Mon. Wea. Rev. , vol.136 , pp. 945-963
    • Gao, J.1    Xue, M.2
  • 17
    • 3943079207 scopus 로고    scopus 로고
    • Precipitation uncertainty due to variations in precipitation particle parameters within a simple microphysics scheme
    • Gilmore, M. S., J. M. Straka, and E. N. Rasmussen, 2004: Precipitation uncertainty due to variations in precipitation particle parameters within a simple microphysics scheme. Mon. Wea. Rev., 132, 2610-2627.
    • (2004) Mon. Wea. Rev. , vol.132 , pp. 2610-2627
    • Gilmore, M.S.1    Straka, J.M.2    Rasmussen, E.N.3
  • 18
    • 0001006063 scopus 로고
    • The distribution with size of aggregate snowflakes
    • Gunn, K. L. S., and J. S. Marshall, 1958: The distribution with size of aggregate snowflakes. J. Meteor., 15, 452-461.
    • (1958) J. Meteor. , vol.15 , pp. 452-461
    • Gunn, K.L.S.1    Marshall, J.S.2
  • 19
    • 28944444910 scopus 로고    scopus 로고
    • Ensemble Kalman filter assimilation of fixed screen-height observations in a parameterized PBL
    • Hacker, J. P., and C. Snyder, 2005: Ensemble Kalman filter assimilation of fixed screen-height observations in a parameterized PBL. Mon. Wea. Rev., 133, 3260-3275.
    • (2005) Mon. Wea. Rev. , vol.133 , pp. 3260-3275
    • Hacker, J.P.1    Snyder, C.2
  • 20
    • 27744494106 scopus 로고    scopus 로고
    • Accounting for the error due to unresolved scales in ensemble data assimilation: A comparison of different approaches
    • Hamill, T.M., and J. S.Whitaker, 2005: Accounting for the error due to unresolved scales in ensemble data assimilation: A comparison of different approaches. Mon. Wea. Rev., 133, 3132-3147.
    • (2005) Mon. Wea. Rev. , vol.133 , pp. 3132-3147
    • Hamill, T.M.1    Whitaker, J.S.2
  • 22
    • 0032024819 scopus 로고    scopus 로고
    • Data assimilation using an ensemble Kalman filter technique
    • Houtekamer, P. L., and H. L. Mitchell, 1998: Data assimilation using an ensemble Kalman filter technique. Mon. Wea. Rev., 126, 796-811.
    • (1998) Mon. Wea. Rev. , vol.126 , pp. 796-811
    • Houtekamer, P.L.1    Mitchell, H.L.2
  • 24
    • 0018293493 scopus 로고
    • Size distributions of precipitation particles in frontal clouds
    • Houze, R. A., Jr., P. V. Hobbs, P. H. Herzegh, and D. B. Parsons, 1979: Size distributions of precipitation particles in frontal clouds. J. Atmos. Sci., 36, 156-162.
    • (1979) J. Atmos. Sci. , vol.36 , pp. 156-162
    • Houze R.A., Jr.1    Hobbs, P.V.2    Herzegh, P.H.3    Parsons, D.B.4
  • 25
    • 0000096333 scopus 로고
    • Raindrop size distribution and sampling size errors
    • Joss, J., and A. Waldvogel, 1969: Raindrop size distribution and sampling size errors. J. Atmos. Sci., 26, 566-569.
    • (1969) J. Atmos. Sci. , vol.26 , pp. 566-569
    • Joss, J.1    Waldvogel, A.2
  • 26
    • 49749120240 scopus 로고    scopus 로고
    • Assimilation of simulated polarimetric radar data for a convective storm using the ensemble Kalman filter. Part I: Observation operators for reflectivity and polarimetric variables
    • Jung, Y., G. Zhang, and M. Xue, 2008a: Assimilation of simulated polarimetric radar data for a convective storm using the ensemble Kalman filter. Part I: Observation operators for reflectivity and polarimetric variables. Mon. Wea. Rev., 136, 2228-2245.
    • (2008) Mon. Wea. Rev. , vol.136 , pp. 2228-2245
    • Jung, Y.1    Zhang, G.2    Xue, M.3
  • 27
    • 44949158026 scopus 로고    scopus 로고
    • Assimilation of simulated polarimetric radar data for a convective storm using the ensemble Kalman filter. Part II: Impact of polarimetric data on storm analysis
    • Jung, Y., M. Xue, G. Zhang, and J. Straka, 2008b: Assimilation of simulated polarimetric radar data for a convective storm using the ensemble Kalman filter. Part II: Impact of polarimetric data on storm analysis. Mon. Wea. Rev., 136, 2246-2260.
    • (2008) Mon. Wea. Rev. , vol.136 , pp. 2246-2260
    • Jung, Y.1    Xue, M.2    Zhang, G.3    Straka, J.4
  • 28
    • 24944486903 scopus 로고    scopus 로고
    • Alignment error models and ensemble-based data assimilation
    • Lawson, W. G., and J. A. Hansen, 2005: Alignment error models and ensemble-based data assimilation. Mon. Wea. Rev., 133, 1687-1709.
    • (2005) Mon. Wea. Rev. , vol.133 , pp. 1687-1709
    • Lawson, W.G.1    Hansen, J.A.2
  • 29
    • 0022842584 scopus 로고
    • Variational algorithms for analysis and assimilation of meteorological observations: Theoretical aspects
    • Le Dimet, F. X., and O. Talagrand, 1986: Variational algorithms for analysis and assimilation of meteorological observations: Theoretical aspects. Tellus, 38A, 97-110.
    • (1986) Tellus , vol.38 A , pp. 97-110
    • Le Dimet, F.X.1    Talagrand, O.2
  • 30
    • 0020968202 scopus 로고
    • Bulk parameterization of the snow field in a cloud model
    • Lin, Y.-L., R. D. Farley, and H. D. Orville, 1983: Bulk parameterization of the snow field in a cloud model. J. Climate Appl. Meteor., 22, 1065-1092.
    • (1983) J. Climate Appl. Meteor. , vol.22 , pp. 1065-1092
    • Lin, Y.-L.1    Farley, R.D.2    Orville, H.D.3
  • 31
    • 34248344666 scopus 로고    scopus 로고
    • Retrieval of moisture from simulated GPS slant-path water vapor observations using 3DVAR with anisotropic recursive filters
    • Liu, H., M. Xue, R. J. Purser, and D. F. Parrish, 2007: Retrieval of moisture from simulated GPS slant-path water vapor observations using 3DVAR with anisotropic recursive filters. Mon. Wea. Rev., 135, 1506-1521.
    • (2007) Mon. Wea. Rev. , vol.135 , pp. 1506-1521
    • Liu, H.1    Xue, M.2    Purser, R.J.3    Parrish, D.F.4
  • 32
    • 34248364831 scopus 로고    scopus 로고
    • Tests of an ensemble Kalman filter for mesoscale and regional-scale data assimilation. Part I: Imperfect model experiments
    • Meng, Z., and F. Zhang, 2007: Tests of an ensemble Kalman filter for mesoscale and regional-scale data assimilation. Part I: Imperfect model experiments. Mon. Wea. Rev., 135, 1403-1423.
    • (2007) Mon. Wea. Rev. , vol.135 , pp. 1403-1423
    • Meng, Z.1    Zhang, F.2
  • 33
    • 44449094042 scopus 로고    scopus 로고
    • Tests of an ensemble Kalman filter for mesoscale and regional-scale data assimilation. Part II: Comparison with 3DVAR in a real-data case study
    • Meng, Z., and F. Zhang, 2008: Tests of an ensemble Kalman filter for mesoscale and regional-scale data assimilation. Part II: Comparison with 3DVAR in a real-data case study. Mon. Wea. Rev., 136, 522-540.
    • (2008) Mon. Wea. Rev. , vol.136 , pp. 522-540
    • Meng, Z.1    Zhang, F.2
  • 34
    • 0024254555 scopus 로고
    • Evolution of snow-size spectra in cyclonic storms. Part I: Snow growth by vapor deposition and aggregation
    • Mitchell, D. L., 1988: Evolution of snow-size spectra in cyclonic storms. Part I: Snow growth by vapor deposition and aggregation. J. Atmos. Sci., 45, 3431-3451.
    • (1988) J. Atmos. Sci. , vol.45 , pp. 3431-3451
    • Mitchell, D.L.1
  • 35
    • 0031944948 scopus 로고    scopus 로고
    • Practical and theoretical aspects of adjoint parameter estimation and identifiability in meteorology and oceanography
    • Navon, I. M., 1997: Practical and theoretical aspects of adjoint parameter estimation and identifiability in meteorology and oceanography. Dyn. Atmos. Oceans, 27, 55-79.
    • (1997) Dyn. Atmos. Oceans , vol.27 , pp. 55-79
    • Navon, I.M.1
  • 38
    • 0141571533 scopus 로고    scopus 로고
    • Assimilation of simulated Doppler radar observations with an ensemble Kalman filter
    • Snyder, C., and F. Zhang, 2003: Assimilation of simulated Doppler radar observations with an ensemble Kalman filter. Mon. Wea. Rev., 131, 1663-1677.
    • (2003) Mon. Wea. Rev. , vol.131 , pp. 1663-1677
    • Snyder, C.1    Zhang, F.2
  • 40
    • 24144494208 scopus 로고    scopus 로고
    • Ensemble Kalman filter assimilation of Doppler radar data with a compressible nonhydrostatic model: OSS experiments
    • Tong, M., and M. Xue, 2005: Ensemble Kalman filter assimilation of Doppler radar data with a compressible nonhydrostatic model: OSS experiments. Mon. Wea. Rev., 133, 1789-1807.
    • (2005) Mon. Wea. Rev. , vol.133 , pp. 1789-1807
    • Tong, M.1    Xue, M.2
  • 41
    • 44949155490 scopus 로고    scopus 로고
    • Simultaneous estimation of microphysical parameters and atmospheric state with simulated radar data and ensemble square root Kalman filter. Part I: Sensitivity analysis and parameter identifiability
    • Tong, M., and M. Xue, 2008a: Simultaneous estimation of microphysical parameters and atmospheric state with simulated radar data and ensemble square root Kalman filter. Part I: Sensitivity analysis and parameter identifiability. Mon. Wea. Rev., 136, 1630-1648.
    • (2008) Mon. Wea. Rev. , vol.136 , pp. 1630-1648
    • Tong, M.1    Xue, M.2
  • 42
    • 44449167987 scopus 로고    scopus 로고
    • Simultaneous estimation of microphysical parameters and atmospheric state with simulated radar data and ensemble square root Kalman filter. Part II: Parameter estimation experiments
    • Tong, M., and M. Xue, 2008b: Simultaneous estimation of microphysical parameters and atmospheric state with simulated radar data and ensemble square root Kalman filter. Part II: Parameter estimation experiments. Mon. Wea. Rev., 136, 1649-1668.
    • (2008) Mon. Wea. Rev. , vol.136 , pp. 1649-1668
    • Tong, M.1    Xue, M.2
  • 43
    • 0036646009 scopus 로고    scopus 로고
    • Ensemble data assimilation without perturbed observations
    • Whitaker, J. S., and T. M. Hamill, 2002: Ensemble data assimilation without perturbed observations. Mon. Wea. Rev., 130, 1913-1924.
    • (2002) Mon. Wea. Rev. , vol.130 , pp. 1913-1924
    • Whitaker, J.S.1    Hamill, T.M.2
  • 44
    • 2442668784 scopus 로고    scopus 로고
    • Reanalysis without radiosondes using ensemble data assimilation
    • Whitaker, J. S., G. P. Compo, X. Wei, and T. M. Hamill, 2004: Reanalysis without radiosondes using ensemble data assimilation. Mon. Wea. Rev., 132, 1190-1200.
    • (2004) Mon. Wea. Rev. , vol.132 , pp. 1190-1200
    • Whitaker, J.S.1    Compo, G.P.2    Wei, X.3    Hamill, T.M.4
  • 45
    • 0034345482 scopus 로고    scopus 로고
    • The Advanced Regional Prediction System (ARPS)-A multiscale nonhydrostatic atmospheric simulation and prediction tool. Part I: Model dynamics and verification
    • Xue, M., K. K. Droegemeier, and V. Wong, 2000: The Advanced Regional Prediction System (ARPS)-A multiscale nonhydrostatic atmospheric simulation and prediction tool. Part I: Model dynamics and verification. Meteor. Atmos. Phys., 75, 161-193.
    • (2000) Meteor. Atmos. Phys. , vol.75 , pp. 161-193
    • Xue, M.1    Droegemeier, K.K.2    Wong, V.3
  • 46
    • 0035532521 scopus 로고    scopus 로고
    • The Advanced Regional Prediction System (ARPS)-A multiscale nonhydrostatic atmospheric simulation and prediction tool. Part II: Model physics and applications
    • Xue, M., and Coauthors, 2001: The Advanced Regional Prediction System (ARPS)-A multiscale nonhydrostatic atmospheric simulation and prediction tool. Part II: Model physics and applications. Meteor. Atmos. Phys., 76, 143-165.
    • (2001) Meteor. Atmos. Phys. , vol.76 , pp. 143-165
    • Xue, M.1
  • 47
    • 0344898900 scopus 로고    scopus 로고
    • The Advanced Regional Prediction System (ARPS), storm-scale numerical weather prediction, and data assimilation
    • Xue, M.,D.-H. Wang, J.-D. Gao, K. Brewster, and K. K. Droegemeier, 2003: The Advanced Regional Prediction System (ARPS), storm-scale numerical weather prediction, and data assimilation. Meteor. Atmos. Phys., 82, 139-170.
    • (2003) Meteor. Atmos. Phys. , vol.82 , pp. 139-170
    • Xue, M.1    Wang, D.-H.2    Gao, J.-D.3    Brewster, K.4    Droegemeier, K.K.5
  • 48
    • 33644779514 scopus 로고    scopus 로고
    • An OSSE framework based on the ensemble square root Kalman filter for evaluating impact of data from radar networks on thunderstorm analysis and forecast
    • Xue, M., M. Tong, and K. K. Droegemeier, 2006: An OSSE framework based on the ensemble square root Kalman filter for evaluating impact of data from radar networks on thunderstorm analysis and forecast. J. Atmos. Oceanic Technol., 23, 46-66.
    • (2006) J. Atmos. Oceanic Technol. , vol.23 , pp. 46-66
    • Xue, M.1    Tong, M.2    Droegemeier, K.K.3
  • 49
    • 34447576990 scopus 로고    scopus 로고
    • Error modeling of simulated reflectivity observations for ensemble Kalman filter data assimilation of convective storms
    • doi:10.1029/2007GL029945
    • Xue, M., Y. Jung, and G. Zhang, 2007: Error modeling of simulated reflectivity observations for ensemble Kalman filter data assimilation of convective storms. Geophys. Res. Lett., 34, L10802, doi:10.1029/2007GL029945.
    • (2007) Geophys. Res. Lett. , vol.34
    • Xue, M.1    Jung, Y.2    Zhang, G.3
  • 50
    • 0019227929 scopus 로고
    • Instability in aquifer identification: Theory and case studies
    • Yakowitz, S., and L. Duckstein, 1980: Instability in aquifer identification: Theory and case studies. Water Resour. Res., 16, 1045-1064.
    • (1980) Water Resour. Res. , vol.16 , pp. 1045-1064
    • Yakowitz, S.1    Duckstein, L.2
  • 51
    • 34249077569 scopus 로고    scopus 로고
    • Ensemble-based data assimilation
    • Zhang, F., and C. Snyder, 2007: Ensemble-based data assimilation. Bull. Amer. Meteor. Soc., 88, 565-568.
    • (2007) Bull. Amer. Meteor. Soc. , vol.88 , pp. 565-568
    • Zhang, F.1    Snyder, C.2
  • 52
    • 0345148330 scopus 로고    scopus 로고
    • Impact of parameter estimation on the performance of the FSU global spectral model using its full-physics adjoint
    • Zhu, Y., and I. M. Navon, 1999: Impact of parameter estimation on the performance of the FSU global spectral model using its full-physics adjoint. Mon. Wea. Rev., 127, 1497-1517.
    • (1999) Mon. Wea. Rev. , vol.127 , pp. 1497-1517
    • Zhu, Y.1    Navon, I.M.2
  • 53
    • 0027065684 scopus 로고
    • An optimal nudging data assimilation scheme using parameter estimation
    • Zou, X., I. M. Navon, and F. X. Le Dimet, 1992: An optimal nudging data assimilation scheme using parameter estimation. Quart. J. Roy. Meteor. Soc., 118, 1163-1186.
    • (1992) Quart. J. Roy. Meteor. Soc. , vol.118 , pp. 1163-1186
    • Zou, X.1    Navon, I.M.2    Le Dimet, F.X.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.