메뉴 건너뛰기




Volumn 8, Issue 3, 2015, Pages 669-696

Generalized background error covariance matrix model (GEN-BE v2.0)

Author keywords

[No Author keywords available]

Indexed keywords

COVARIANCE ANALYSIS; DATA ASSIMILATION; ERROR ANALYSIS; GEOPHYSICAL METHOD; HYDROMETEOROLOGY; MATRIX; MULTIVARIATE ANALYSIS; SOFTWARE; WEATHER FORECASTING;

EID: 84925447199     PISSN: 1991959X     EISSN: 19919603     Source Type: Journal    
DOI: 10.5194/gmd-8-669-2015     Document Type: Article
Times cited : (70)

References (54)
  • 3
    • 0026486542 scopus 로고
    • Toward the 4-dimensional assimilation of stratospheric chemical-constituents
    • Austin, J.: Toward the 4-dimensional assimilation of stratospheric chemical-constituents, J. Geophys. Res., 97, 2569-2588, 1992.
    • (1992) J. Geophys. Res. , vol.97 , pp. 2569-2588
    • Austin, J.1
  • 4
    • 58049201686 scopus 로고    scopus 로고
    • A review of forecast error covariance statistics in atmospheric variational data assimilation. I: Characterisitics and measurements of forecast error covariances
    • Bannister, R. N.: A review of forecast error covariance statistics in atmospheric variational data assimilation. I: Characterisitics and measurements of forecast error covariances, Q. J. Roy. Meteor. Soc., 134, 1951-1970, doi:10.1002/qj.339, 2008a.
    • (2008) Q. J. Roy. Meteor. Soc. , vol.134 , pp. 1951-1970
    • Bannister, R.N.1
  • 5
    • 58049193556 scopus 로고    scopus 로고
    • A review of forecast error covariance statistics in atmospheric variational data assimilation. II: Modelling the forecast error statistics
    • Bannister, R. N.: A review of forecast error covariance statistics in atmospheric variational data assimilation. II: Modelling the forecast error statistics, Q. J. Roy. Meteor. Soc., 134, 1971-1996, doi:10.1002/qj.340, 2008b.
    • (2008) Q. J. Roy. Meteor. Soc. , vol.134 , pp. 1971-1996
    • Bannister, R.N.1
  • 6
    • 79954528298 scopus 로고    scopus 로고
    • Ensemble prediction with a convection-permitting model for nowcasting, Part II: Forecast error statistics
    • Bannister, R., Migliorini, S., and Dixon, M.: Ensemble prediction with a convection-permitting model for nowcasting, Part II: Forecast error statistics, Tellus, 63A, 497-51, doi:10.1111/j.1600-0870.2010.00500.x, 2011.
    • (2011) Tellus , vol.63 A , pp. 497-551
    • Bannister, R.1    Migliorini, S.2    Dixon, M.3
  • 7
    • 3042798251 scopus 로고    scopus 로고
    • A Three-Dimensional (3DVAR) data assimilation system for use with MM5: Implementation and initial results
    • Barker, D. M., Huang, W., Guo, Y. R., and Xiao, Q. N.: A Three-Dimensional (3DVAR) data assimilation system for use with MM5: implementation and initial results, Mon. Weather Rev., 132, 897-914, 2004.
    • (2004) Mon. Weather Rev. , vol.132 , pp. 897-914
    • Barker, D.M.1    Huang, W.2    Guo, Y.R.3    Xiao, Q.N.4
  • 11
    • 77953202951 scopus 로고    scopus 로고
    • An Examination of Background Error Correlations between Mass and Rotational Wind over Precipitation Regions
    • Caron, J. F. and Fillion, L.: An Examination of Background Error Correlations between Mass and Rotational Wind over Precipitation Regions, Mon. Weather Rev., 138, 563-578, doi:10.1175/2009MWR2998.1, 2010.
    • (2010) Mon. Weather Rev. , vol.138 , pp. 563-578
    • Caron, J.F.1    Fillion, L.2
  • 12
    • 0028561614 scopus 로고
    • A strategy for operational implementation of 4D-Var, using an incremental approach
    • Courtier, P., Thépaut, J. N., and Hollingsworth, A.: A strategy for operational implementation of 4D-Var, using an incremental approach, Q. J. Roy. Meteor. Soc., 120, 1367-1387, 1994.
    • (1994) Q. J. Roy. Meteor. Soc. , vol.120 , pp. 1367-1387
    • Courtier, P.1    Thépaut, J.N.2    Hollingsworth, A.3
  • 15
    • 69749084907 scopus 로고    scopus 로고
    • Diagnosis of observation, background and analysis-error statistics in observation space
    • Desroziers, G., Berre, L., Chapnik, B., and Poli, P.: Diagnosis of observation, background and analysis-error statistics in observation space, Q. J. Roy. Meteorol. Soc., 131, 3385-3396, doi:10.1256/qj.05.108, 2005.
    • (2005) Q. J. Roy. Meteorol. Soc. , vol.131 , pp. 3385-3396
    • Desroziers, G.1    Berre, L.2    Chapnik, B.3    Poli, P.4
  • 16
    • 0031395796 scopus 로고    scopus 로고
    • Variational data assimilation for tropospheric chemistry modeling
    • Elbern, H., Schimdt, H., and Ebel, A.: Variational data assimilation for tropospheric chemistry modeling, J. Geophys Res. Rev., 102, 15967-15985, 1997.
    • (1997) J. Geophys Res. Rev. , vol.102 , pp. 15967-15985
    • Elbern, H.1    Schimdt, H.2    Ebel, A.3
  • 17
    • 84891926186 scopus 로고    scopus 로고
    • Combined assimilation of IASI and MLS observations to constrain tropospheric and stratospheric ozone in a global chemical transport model
    • Emili, E., Barret, B., Massart, S., Le Flochmoen, E., Piacentini, A., El Amraoui, L., Pannekoucke, O., and Cariolle, D.: Combined assimilation of IASI and MLS observations to constrain tropospheric and stratospheric ozone in a global chemical transport model, Atmos. Chem. Phys., 14, 177-198, doi:10.5194/acp-14-177-2014, 2014.
    • (2014) Atmos. Chem. Phys. , vol.14 , pp. 177-198
    • Emili, E.1    Barret, B.2    Massart, S.3    Le Flochmoen, E.4    Piacentini, A.5    El Amraoui, L.6    Pannekoucke, O.7    Cariolle, D.8
  • 20
    • 0029530057 scopus 로고
    • Lagrangian four-dimensional variational data assimilation of chemical species
    • Fisher, M. and Lary, D. J.: Lagrangian four-dimensional variational data assimilation of chemical species, Q. J. Roy. Meteorol. Soc., 121, 1681-1704, 1995.
    • (1995) Q. J. Roy. Meteorol. Soc. , vol.121 , pp. 1681-1704
    • Fisher, M.1    Lary, D.J.2
  • 21
    • 84897594834 scopus 로고    scopus 로고
    • Regional scale ozone data assimilation using an ensemble Kalman filter and the CHIMERE chemical transport model
    • Gaubert, B., Coman, A., Foret, G., Meleux, F., Ung, A., Rouil, L., Ionescu, A., Candau, Y., and Beekmann, M.: Regional scale ozone data assimilation using an ensemble Kalman filter and the CHIMERE chemical transport model, Geosci. Model Dev., 7, 283-302, doi:10.5194/gmd-7-283-2014, 2014.
    • (2014) Geosci. Model Dev. , vol.7 , pp. 283-302
    • Gaubert, B.1    Coman, A.2    Foret, G.3    Meleux, F.4    Ung, A.5    Rouil, L.6    Ionescu, A.7    Candau, Y.8    Beekmann, M.9
  • 22
    • 0004066241 scopus 로고
    • A description of the fifth-generation Penn State/NCAR Mesoscale Model (MM5)
    • Grell, G. A., Dudhia, J., and Stauffer, D.: A description of the fifth-generation Penn State/NCAR Mesoscale Model (MM5), NCAR Technical Note NCAR/TN-398CSTR, doi:10.5065/D60Z716B, 1994.
    • (1994) NCAR Technical Note NCAR/TN-398CSTR
    • Grell, G.A.1    Dudhia, J.2    Stauffer, D.3
  • 24
    • 33746885462 scopus 로고    scopus 로고
    • Estimates of global terrestrial isoprene emissions using MEGAN (Model of Emissions of Gases and Aerosols from Nature)
    • Guenther, A., Karl, T., Harley, P., Wiedinmyer, C., Palmer, P. I., and Geron, C.: Estimates of global terrestrial isoprene emissions using MEGAN (Model of Emissions of Gases and Aerosols from Nature), Atmos. Chem. Phys., 6, 3181-3210, doi:10.5194/acp-6-3181-2006, 2006.
    • (2006) Atmos. Chem. Phys. , vol.6 , pp. 3181-3210
    • Guenther, A.1    Karl, T.2    Harley, P.3    Wiedinmyer, C.4    Palmer, P.I.5    Geron, C.6
  • 25
    • 0033792589 scopus 로고    scopus 로고
    • A Hybrid Ensemble Kalman Filter-3D Variational Analysis Scheme
    • Hamill, T. M. and Snyder, C.: A Hybrid Ensemble Kalman Filter-3D Variational Analysis Scheme, Mon. Weather Rev., 128, 2905-2919, doi:10.1175/1520-0493(2000)128〈2905:AHEKFV〉 2.0.CO;2, 2000.
    • (2000) Mon. Weather Rev. , vol.128 , pp. 2905-2919
    • Hamill, T.M.1    Snyder, C.2
  • 27
    • 84880536654 scopus 로고    scopus 로고
    • Impact of a time-dependent background error covariance matrix on air quality analysis
    • Jaumouillé, E., Massart, S., Piacentini, A., Cariolle, D., and Peuch, V.-H.: Impact of a time-dependent background error covariance matrix on air quality analysis, Geosci. Model Dev., 5, 1075-1090, doi:10.5194/gmd-5-1075-2012, 2012.
    • (2012) Geosci. Model Dev. , vol.5 , pp. 1075-1090
    • Jaumouillé, E.1    Massart, S.2    Piacentini, A.3    Cariolle, D.4    Peuch, V.-H.5
  • 28
    • 74549226096 scopus 로고    scopus 로고
    • Introduction of the GSI into the NCEP Global Data Assimilation System
    • Kleist, D. T., Parrish, D. F., Derber, J. C., Treadon, R., Wu, W. S., and Lord, S.: Introduction of the GSI into the NCEP Global Data Assimilation System, Mon. Weather Rev., 24, 1691-1705, doi:10.1175/2009WAF2222201.1, 2009.
    • (2009) Mon. Weather Rev. , vol.24 , pp. 1691-1705
    • Kleist, D.T.1    Parrish, D.F.2    Derber, J.C.3    Treadon, R.4    Wu, W.S.5    Lord, S.6
  • 29
    • 0347709927 scopus 로고    scopus 로고
    • The potential of the ensemble Kalman Filter for NWP-A comparison with 4-D VAR
    • Lorenc, A. C.: The potential of the ensemble Kalman Filter for NWP-A comparison with 4-D VAR, Q. J. Roy. Meteorol. Soc., 595, 3183-3203, doi:10.1256/qj.02.132, 2003.
    • (2003) Q. J. Roy. Meteorol. Soc. , vol.595 , pp. 3183-3203
    • Lorenc, A.C.1
  • 30
    • 84862238181 scopus 로고    scopus 로고
    • Importance of using ensemble estimated background error covariances for the quality of atmospheric ozone analyses
    • Massart, S., Piacentini, A., and Pannekoucke, O.: Importance of using ensemble estimated background error covariances for the quality of atmospheric ozone analyses, Q. J. Roy. Meteorol. Soc., 138, 889-905, doi:10.1002/qj.971, 2012.
    • (2012) Q. J. Roy. Meteorol. Soc. , vol.138 , pp. 889-905
    • Massart, S.1    Piacentini, A.2    Pannekoucke, O.3
  • 31
    • 0034252195 scopus 로고    scopus 로고
    • Assimilation of stratospheric chemical tracer observations using a Kalman filter. Part II: χ2-validated results and analysis of variance and correlation dynamics
    • Ménard, R. and Chang, L. P.: Assimilation of stratospheric chemical tracer observations using a Kalman filter. Part II: χ2-validated results and analysis of variance and correlation dynamics, Mon. Weather Rev., 128, 2672-2686, 2000.
    • (2000) Mon. Weather Rev. , vol.128 , pp. 2672-2686
    • Ménard, R.1    Chang, L.P.2
  • 32
    • 80053192584 scopus 로고    scopus 로고
    • Heterogeneous background-error covariances for the analysis and forecast of fog events
    • Ménétrier, B. and Montmerle, T.: Heterogeneous background-error covariances for the analysis and forecast of fog events, Q. J. Roy. Meteorol. Soc., 137, 2004-2013, doi:10.1002/qj.802, 2011.
    • (2011) Q. J. Roy. Meteorol. Soc. , vol.137 , pp. 2004-2013
    • Ménétrier, B.1    Montmerle, T.2
  • 33
    • 84908868970 scopus 로고    scopus 로고
    • Estimation and diagnosis of heterogeneous flow-dependent background-error covariances at the convective scale using either large or small ensembles
    • Ménétrier, B., Montmerle, T., Berre, L., and Michel, Y.: Estimation and diagnosis of heterogeneous flow-dependent background-error covariances at the convective scale using either large or small ensembles, Q. J. Roy. Meteorol. Soc., 140, 2050-2061, doi:10.1002/qj.2267, 2014.
    • (2014) Q. J. Roy. Meteorol. Soc. , vol.140 , pp. 2050-2061
    • Ménétrier, B.1    Montmerle, T.2    Berre, L.3    Michel, Y.4
  • 34
    • 77955572031 scopus 로고    scopus 로고
    • Inhomogeneous Background Error Modeling Over Antarctica
    • Michel, Y. and Auligné, T.: Inhomogeneous Background Error Modeling Over Antarctica, Mon. Weather Rev., 138, 2229-2252, doi:10.1175/2009MWR3139.1, 2010.
    • (2010) Mon. Weather Rev. , vol.138 , pp. 2229-2252
    • Michel, Y.1    Auligné, T.2
  • 35
    • 80053213295 scopus 로고    scopus 로고
    • Heterogeneous convective-scale Background Error Covariances with the inclusion of hydrometeor variables
    • Michel, Y., Auligné, T., and Montmerle, T.: Heterogeneous convective-scale Background Error Covariances with the inclusion of hydrometeor variables, Mon. Weather Rev., 139, 2994-3015, doi:10.1175/2011MWR3632.1, 2011.
    • (2011) Mon. Weather Rev. , vol.139 , pp. 2994-3015
    • Michel, Y.1    Auligné, T.2    Montmerle, T.3
  • 36
    • 79954558836 scopus 로고    scopus 로고
    • Ensemble prediction for nowcasting with a convection-permitting model - Part I: Description of the system and the impact of radar-derived surface precipitation rates
    • Migliorini, S., Dixon, M., Bannister, R., and Ballard, S.: Ensemble prediction for nowcasting with a convection-permitting model - Part I: description of the system and the impact of radar-derived surface precipitation rates, Tellus, 63A, 468-496, doi:10.1111/j.1600-0870.2010.00503.x, 2011.
    • (2011) Tellus , vol.63 A , pp. 468-496
    • Migliorini, S.1    Dixon, M.2    Bannister, R.3    Ballard, S.4
  • 37
    • 77957141625 scopus 로고    scopus 로고
    • Diagnosis and formulation of heterogeneous background error covariances at mesoscale
    • Montmerle, T. and Berre, L.: Diagnosis and formulation of heterogeneous background error covariances at mesoscale, Q. J. Roy. Meteorol. Soc., 136, 1408-1420, doi:10.1002/qj.655, 2010.
    • (2010) Q. J. Roy. Meteorol. Soc. , vol.136 , pp. 1408-1420
    • Montmerle, T.1    Berre, L.2
  • 38
    • 78650066834 scopus 로고    scopus 로고
    • Three-dimensional variational data assimilation of ozone and fine particulate matter observations: Some results using the Weather Research and Forecasting - Chemistry model and Grid-point Statistical Interpolation
    • Pagowski, M., Grell, G. A., McKeen, S. A., Peckham, S. E., and Devenyi, D.: Three-dimensional variational data assimilation of ozone and fine particulate matter observations: some results using the Weather Research and Forecasting - Chemistry model and Grid-point Statistical Interpolation, Q. J. Roy. Meteorol. Soc., 136, 2013-2024, doi:10.1002/qj.700, 2010.
    • (2010) Q. J. Roy. Meteorol. Soc. , vol.136 , pp. 2013-2024
    • Pagowski, M.1    Grell, G.A.2    McKeen, S.A.3    Peckham, S.E.4    Devenyi, D.5
  • 39
    • 84925440886 scopus 로고    scopus 로고
    • Implementation of aerosol assimilation in Grid-point Statistical Interpolation (v. 3.2) and WRF-Chem (v. 3.4.1)
    • Pagowski, M., Liu, Z., Grell, G. A., Hu, M., Lin, H.-C., and Schwartz, C. S.: Implementation of aerosol assimilation in Grid-point Statistical Interpolation (v. 3.2) and WRF-Chem (v. 3.4.1), Geosci. Model Dev., 7, 1621-1627, doi:10.5194/gmd-7-1621-2014, 2014.
    • (2014) Geosci. Model Dev. , vol.7 , pp. 1621-1627
    • Pagowski, M.1    Liu, Z.2    Grell, G.A.3    Hu, M.4    Lin, H.-C.5    Schwartz, C.S.6
  • 40
    • 44349153459 scopus 로고    scopus 로고
    • Background-error correlation length-scale estimates and their sampling statistics
    • Pannekoucke, O., Berre, L., and Desroziers, G.: Background-error correlation length-scale estimates and their sampling statistics, Q. J. Roy. Meteorol. Soc., 134, 497-508, doi:10.1002/qj.212, 2008.
    • (2008) Q. J. Roy. Meteorol. Soc. , vol.134 , pp. 497-508
    • Pannekoucke, O.1    Berre, L.2    Desroziers, G.3
  • 41
    • 0027040023 scopus 로고
    • The National Meteorological Center's Spectral Statistical-interpolation Analysis System
    • Parrish, D. F. and Derber, J. C.: The National Meteorological Center's Spectral Statistical-interpolation Analysis System, Mon. Weather Rev., 120, 1747-1763, 1992.
    • (1992) Mon. Weather Rev. , vol.120 , pp. 1747-1763
    • Parrish, D.F.1    Derber, J.C.2
  • 42
    • 33749027769 scopus 로고    scopus 로고
    • The Use of an Ensemble Approach to Study the Background Error Covariances in a Global NWP Model
    • Pereira, M. B. and Berre, L.: The Use of an Ensemble Approach to Study the Background Error Covariances in a Global NWP Model, Mon. Weather Rev., 134, 2466-2489, doi:10.1175/MWR3189.1, 2006.
    • (2006) Mon. Weather Rev. , vol.134 , pp. 2466-2489
    • Pereira, M.B.1    Berre, L.2
  • 43
    • 0038293594 scopus 로고    scopus 로고
    • Numerical aspects of the application of recursive filters to variational statistical analysis, Part I: Spatially homogeneous and isotropic Gaussian covariances
    • Purser, R. J., Wu, W. S., Parrish, D. F., and Roberts, N. M.: Numerical aspects of the application of recursive filters to variational statistical analysis, Part I: Spatially homogeneous and isotropic Gaussian covariances, Mon. Weather Rev., 131, 1524-1535, doi:10.1175//1520-0493(2003)131〈1524:NAOTAO〉2.0.CO;2, 2003a.
    • (2003) Mon. Weather Rev. , vol.131 , pp. 1524-1535
    • Purser, R.J.1    Wu, W.S.2    Parrish, D.F.3    Roberts, N.M.4
  • 44
    • 0141682980 scopus 로고    scopus 로고
    • Numerical Aspects of the Application of Recursive Filters to Variational Statistical Analysis, Part II: Spatially Inhomogeneous and Anisotropic General Covariances
    • Purser, R. J., Wu, W. S., Parrish, D. F., and Roberts, N. M.: Numerical Aspects of the Application of Recursive Filters to Variational Statistical Analysis, Part II: Spatially Inhomogeneous and Anisotropic General Covariances, Mon. Weather Rev., 131, 1536-1548, doi:10.1175/2543.1, 2003b.
    • (2003) Mon. Weather Rev. , vol.131 , pp. 1536-1548
    • Purser, R.J.1    Wu, W.S.2    Parrish, D.F.3    Roberts, N.M.4
  • 47
    • 84863481035 scopus 로고    scopus 로고
    • Simultaneous three-dimensional variational assimilation of surface fine particulate matter and MODIS aerosol optical depth
    • Schwartz, C. S., Liu, Z., Lin, H. C., and McKeen, S. A.: Simultaneous three-dimensional variational assimilation of surface fine particulate matter and MODIS aerosol optical depth, J. Geophys. Res., 117, D13202, doi:10.1029/2011JD017383, 2012.
    • (2012) J. Geophys. Res. , vol.117 , pp. D13202
    • Schwartz, C.S.1    Liu, Z.2    Lin, H.C.3    McKeen, S.A.4
  • 49
    • 84872238276 scopus 로고    scopus 로고
    • Assimilation of OMI NO2 retrievals into the limited-area chemistry-transport model DEHM (V2009.0) with a 3-D OI algorithm
    • Silver, J. D., Brandt, J., Hvidberg, M., Frydendall, J., and Christensen, J. H.: Assimilation of OMI NO2 retrievals into the limited-area chemistry-transport model DEHM (V2009.0) with a 3-D OI algorithm, Geosci. Model Dev., 6, 1-16, doi:10.5194/gmd-6-1-2013, 2013.
    • (2013) Geosci. Model Dev. , vol.6 , pp. 1-16
    • Silver, J.D.1    Brandt, J.2    Hvidberg, M.3    Frydendall, J.4    Christensen, J.H.5
  • 51
    • 62749149846 scopus 로고    scopus 로고
    • A hybrid ETKF-3DVAR data assimilation scheme for the WRF model. Part I: Observing system simulation experiment
    • Wang, X., Barker, D. M., Snyder, C., and Hamill, T. M.: A hybrid ETKF-3DVAR data assimilation scheme for the WRF model. Part I: observing system simulation experiment, Mon. Weather Rev., 136, 5116-5131, doi:10.1175/2008MWR2444.1, 2008a.
    • (2008) Mon. Weather Rev. , vol.136 , pp. 5116-5131
    • Wang, X.1    Barker, D.M.2    Snyder, C.3    Hamill, T.M.4
  • 52
    • 64149125046 scopus 로고    scopus 로고
    • A hybrid ETKF-3DVAR data assimilation scheme for the WRF model. Part II: Real observation experiments
    • Wang, X., Barker, D. M., Snyder, C., and Hamill, T. M.: A hybrid ETKF-3DVAR data assimilation scheme for the WRF model. Part II: real observation experiments, Mon. Weather Rev., 136, 5132-5147, doi:10.1175/2008MWR2445.1, 2008b.
    • (2008) Mon. Weather Rev. , vol.136 , pp. 5132-5147
    • Wang, X.1    Barker, D.M.2    Snyder, C.3    Hamill, T.M.4
  • 54
    • 0036968196 scopus 로고    scopus 로고
    • Three-Dimensional Variational Analysis with Spatially Inhomogeneous Covariances
    • Wu, W. S., Purser, R. J., and Parrish, D. F.: Three-Dimensional Variational Analysis with Spatially Inhomogeneous Covariances, Mon. Weather Rev., 130, 2905-2916, doi:10.1175/1520-0493(2002)130〈2905:TDVAWS〉2.0.CO;2, 2002.
    • (2002) Mon. Weather Rev. , vol.130 , pp. 2905-2916
    • Wu, W.S.1    Purser, R.J.2    Parrish, D.F.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.