메뉴 건너뛰기




Volumn 75, Issue 1 B, 1997, Pages 181-189

Unified notation for data assimilation: Operational, sequential and variational

Author keywords

[No Author keywords available]

Indexed keywords


EID: 22444452396     PISSN: 00261165     EISSN: None     Source Type: Journal    
DOI: 10.2151/jmsj1965.75.1B_181     Document Type: Article
Times cited : (714)

References (32)
  • 2
    • 0031510266 scopus 로고    scopus 로고
    • Generalized inversion of a global numerical weather prediction model, II: Analysis and implementation
    • in press
    • Bennett, A.F., B.S. Chua and L.M. Leslie, 1997: Generalized inversion of a global numerical weather prediction model, II: analysis and implementation. Meteor. Atmos. Phys., in press.
    • (1997) Meteor. Atmos. Phys.
    • Bennett, A.F.1    Chua, B.S.2    Leslie, L.M.3
  • 4
    • 38249023088 scopus 로고
    • Applications of multi-variate statistical objective analysis to the circulation in the tropical Atlantic
    • Carton, J.A. and E.C. Hackert, 1989: Applications of multi-variate statistical objective analysis to the circulation in the tropical Atlantic. Dyn. Atm. Oceans, 13, 491-515.
    • (1989) Dyn. Atm. Oceans , vol.13 , pp. 491-515
    • Carton, J.A.1    Hackert, E.C.2
  • 5
    • 0028561614 scopus 로고
    • A strategy for operational implementation of 4D-Var using an incremental approach
    • Courtier, P., J.-N. Thépaut and A. Hollingsworth, 1994: A strategy for operational implementation of 4D-Var using an incremental approach. Q. J. R. Meteorol. Soc., 120, 1367-1387.
    • (1994) Q. J. R. Meteorol. Soc. , vol.120 , pp. 1367-1387
    • Courtier, P.1    Thépaut, J.-N.2    Hollingsworth, A.3
  • 7
    • 85040897227 scopus 로고
    • Cambridge University Press, Cambridge, England
    • Daley, R., 1991: Atmospheric Data Analysis. Cambridge University Press, Cambridge, England, 457 pp.
    • (1991) Atmospheric Data Analysis
    • Daley, R.1
  • 8
    • 0000092802 scopus 로고
    • A global ocean data assimilation system
    • Derber, J.C. and A. Rosati, 1989: A global ocean data assimilation system. J. Phys. Oceanogr., 19, 1333-1347.
    • (1989) J. Phys. Oceanogr. , vol.19 , pp. 1333-1347
    • Derber, J.C.1    Rosati, A.2
  • 9
    • 0027047114 scopus 로고
    • Using the extended Kalman filter with a multilayer quasi-geostrophic ocean model
    • Evensen, G., 1994: Using the extended Kalman filter with a multilayer quasi-geostrophic ocean model. J. Geophys. Res., 97, 17905-17924.
    • (1994) J. Geophys. Res. , vol.97 , pp. 17905-17924
    • Evensen, G.1
  • 10
    • 0003497202 scopus 로고
    • Gidrometeorol. Izd. Leningrad (in Russian), (English Translation by Israel Program for Scientific Translations, Jerusalem, 1965).
    • Gandin, L.S., 1963: Objective Analysis of Meteorological Fields. Gidrometeorol. Izd. Leningrad (in Russian), (English Translation by Israel Program for Scientific Translations, Jerusalem, 1965).
    • (1963) Objective Analysis of Meteorological Fields
    • Gandin, L.S.1
  • 12
    • 0024813579 scopus 로고
    • Meteorological data assimilation for oceanographers. Part I: Description and theoretical framework
    • Ghil, M., 1989: Meteorological data assimilation for oceanographers. Part I: Description and theoretical framework. Dyn. Atmos. Oceans, 13, 171-218.
    • (1989) Dyn. Atmos. Oceans , vol.13 , pp. 171-218
    • Ghil, M.1
  • 13
    • 33645807073 scopus 로고
    • Data assimilation in meteorology and oceanography
    • Ghil, M. and P. Malanotte-Rizzoli, 1991: Data assimilation in meteorology and oceanography. Adv. Geophys., 33, 141-266.
    • (1991) Adv. Geophys. , vol.33 , pp. 141-266
    • Ghil, M.1    Malanotte-Rizzoli, P.2
  • 15
    • 0031881635 scopus 로고    scopus 로고
    • Extended Kalman filtering for vortex systems. Part I: Methodology and point vortices
    • in press
    • Ide, K. and M. Ghil, 1997a: Extended Kalman filtering for vortex systems. Part I: Methodology and point vortices. Dyn. Atmos. Oceans, in press.
    • (1997) Dyn. Atmos. Oceans
    • Ide, K.1    Ghil, M.2
  • 16
    • 0031906544 scopus 로고    scopus 로고
    • Extended Kalman filtering for vortex systems. Part II: Rankine vortices and observing-system design
    • in press
    • Ide, K. and M. Ghil, 1997b: Extended Kalman filtering for vortex systems. Part II: Rankine vortices and observing-system design. Dyn. Atmos. Oceans, in press.
    • (1997) Dyn. Atmos. Oceans
    • Ide, K.1    Ghil, M.2
  • 18
    • 85024429815 scopus 로고
    • A new approach to linear filtering and prediction problems
    • Kalman, R.E., 1960: A new approach to linear filtering and prediction problems. Trans. ASME, 82D, 35-45.
    • (1960) Trans. ASME , vol.82 D , pp. 35-45
    • Kalman, R.E.1
  • 21
    • 0019707006 scopus 로고
    • A global three-dimensional multi-variate statistical interpolation scheme
    • Lorenc, A., 1981: A global three-dimensional multi-variate statistical interpolation scheme. Mon. Wea. Rev., 109, 701-721.
    • (1981) Mon. Wea. Rev. , vol.109 , pp. 701-721
    • Lorenc, A.1
  • 22
    • 84975888044 scopus 로고
    • Analysis methods for numerical weather prediction
    • Lorenc, A.C., 1986: Analysis methods for numerical weather prediction. Q. J. R. Meteorol. Soc., 112, 1177-1194.
    • (1986) Q. J. R. Meteorol. Soc. , vol.112 , pp. 1177-1194
    • Lorenc, A.C.1
  • 23
    • 0016628928 scopus 로고
    • Formulation of theory of perturbations for complicated models
    • Marchuk, G.I., 1975: Formulation of theory of perturbations for complicated models. Appl. Math. Optimization, 2, 1-33.
    • (1975) Appl. Math. Optimization , vol.2 , pp. 1-33
    • Marchuk, G.I.1
  • 25
    • 0029775260 scopus 로고    scopus 로고
    • The application of Kalman smoother theory to the estimation of 4DVAR error statistics
    • Ménard, R. and R. Daley, 1996: The application of Kalman smoother theory to the estimation of 4DVAR error statistics. Tellus, 48A, 221-237.
    • (1996) Tellus , vol.48 A , pp. 221-237
    • Ménard, R.1    Daley, R.2
  • 26
    • 0028554556 scopus 로고
    • Advanced data assimilation in strongly nonlinear dynamical systems
    • Miller, R.N., M. Ghil and F. Gauthiez, 1994: Advanced data assimilation in strongly nonlinear dynamical systems. J. Atmos. Sci., 51, 1037-1056.
    • (1994) J. Atmos. Sci. , vol.51 , pp. 1037-1056
    • Miller, R.N.1    Ghil, M.2    Gauthiez, F.3
  • 28
    • 0000549151 scopus 로고
    • Data assimilation by statistical interpolation for forecast error fields
    • Rutherford, I.D., 1972: Data assimilation by statistical interpolation for forecast error fields. J. Atmos. Sci., 29, 809-815.
    • (1972) J. Atmos. Sci. , vol.29 , pp. 809-815
    • Rutherford, I.D.1
  • 29
    • 0000783155 scopus 로고
    • Some basic formalisms in numerical variational analysis
    • Sasaki, Y., 1970: Some basic formalisms in numerical variational analysis. Mon. Wea. Rev., 98, 875-883.
    • (1970) Mon. Wea. Rev. , vol.98 , pp. 875-883
    • Sasaki, Y.1
  • 31
    • 0028579150 scopus 로고
    • Suboptimal schemes for atmospheric data assimilation based on the Kalman filter
    • Todling, R. and S.E. Cohn, 1994: Suboptimal schemes for atmospheric data assimilation based on the Kalman filter. Mon. Wea. Rev., 122, 2530-2557.
    • (1994) Mon. Wea. Rev. , vol.122 , pp. 2530-2557
    • Todling, R.1    Cohn, S.E.2
  • 32
    • 0003466536 scopus 로고
    • Society for Industrial and Applied Mathematics, Philadelphia
    • Wahba, G. 1990: Spline Models for Observational Data. Society for Industrial and Applied Mathematics, Philadelphia, 169 pp.
    • (1990) Spline Models for Observational Data
    • Wahba, G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.