메뉴 건너뛰기




Volumn 13, Issue 23, 2013, Pages 11643-11660

Technical Note: Comparison of ensemble Kalman filter and variational approaches for CO2 data assimilation

Author keywords

[No Author keywords available]

Indexed keywords

ADVECTION-DIFFUSION EQUATION; ATMOSPHERIC CHEMISTRY; CARBON DIOXIDE; DATA ASSIMILATION; FLUX MEASUREMENT; INVERSE PROBLEM; KALMAN FILTER; NUMERICAL MODEL; SOURCE-SINK DYNAMICS;

EID: 84890043397     PISSN: 16807316     EISSN: 16807324     Source Type: Journal    
DOI: 10.5194/acp-13-11643-2013     Document Type: Article
Times cited : (13)

References (69)
  • 1
    • 58049084742 scopus 로고    scopus 로고
    • Spatially and temporally varying adaptive covari-ance inflation for ensemble filters
    • doi:10.1111/j.1600-0870.2008.00361.x
    • Anderson, J. L.: Spatially and temporally varying adaptive covari-ance inflation for ensemble filters, Tellus A-Dyn. Meteorol. Oceanogr., 61, 72-83, doi:10.1111/j.1600-0870.2008.00361.x, 2009.
    • (2009) Tellus A-Dyn. Meteorol. Oceanogr. , vol.61 , pp. 72-83
    • Anderson, J.L.1
  • 2
    • 84864864640 scopus 로고    scopus 로고
    • Localization and sampling error correction in ensemble kalman filter data assimilation
    • doi:10.1175/mwr-d-11-00013.1
    • Anderson, J. L.: Localization and Sampling Error Correction in Ensemble Kalman Filter Data Assimilation, Mon. Weather Rev., 140, 2359-2371, doi:10.1175/mwr-d-11-00013.1, 2012.
    • (2012) Mon. Weather Rev. , vol.140 , pp. 2359-2371
    • Anderson, J.L.1
  • 3
    • 0004005780 scopus 로고    scopus 로고
    • Finite-element solution of boundary-value problems
    • SIAM, Philadelphia, PA (Reprint of the 1984 original)
    • Axelsson, O. and Barker, V. A.: Finite-Element Solution of Boundary-value Problems. Theory and Computation, vol. 35 of Classics in Applied Mathematics, SIAM, Philadelphia, PA, 432 pp. (Reprint of the 1984 original), 2001.
    • (2001) Theory and Computation, 35 of Classics in Applied Mathematics , pp. 432
    • Axelsson, O.1    Barker, V.A.2
  • 5
    • 33751539052 scopus 로고    scopus 로고
    • Implementation of 1D+4D-Var assimilation of precipitation-affected microwave radiances at ECMWF. I: 1D-Var
    • DOI 10.1256/qj.05.189
    • Bauer, P., Lopez, P., Benedetti, A., Salmond, D., and Moreau, E.: Implementation of 1D+4D-Var assimilation of precipitation-affected microwave radiances at ECMWF. I: 1 D-Var, Q. J. Roy. Meteorol. Soc., 132, 2307-2332, doi:10.1256/qj.05.189, 2006. (Pubitemid 44830568)
    • (2006) Quarterly Journal of the Royal Meteorological Society , vol.132 , Issue.620 , pp. 2277-2306
    • Bauer, P.1    Lopez, P.2    Benedetti, A.3    Salmond, D.4    Moreau, E.5
  • 6
    • 1642360010 scopus 로고    scopus 로고
    • Toward a nonlinear ensemble filter for high-dimensional systems
    • doi:10.1029/2002JD002900
    • Bengtsson, T., Snyder, C., and Nychka, D.: Toward a nonlinear ensemble filter for high-dimensional systems, J. Geophys. Res., 108, 8775-8785, doi:10.1029/2002JD002900, 2003.
    • (2003) J. Geophys. Res. , vol.108 , pp. 8775-8785
    • Bengtsson, T.1    Snyder, C.2    Nychka, D.3
  • 7
    • 68249155004 scopus 로고    scopus 로고
    • Efficient parameterization of the observation error covariance matrix for square root or ensemble Kalman filters: Application to ocean altimetry
    • doi:10.1175/2008MWR2693.1
    • Brankart, J.-M., Ubelmann, C., Testut, C.-E., Cosme, E., Brasseur, P., and Verron, J.: Efficient parameterization of the observation error covariance matrix for square root or ensemble Kalman filters: application to ocean altimetry, Mon. Weather Rev., 137, 1908-1927, doi:10.1175/2008MWR2693.1, 2009.
    • (2009) Mon. Weather Rev. , vol.137 , pp. 1908-1927
    • Brankart, J.-M.1    Ubelmann, C.2    Testut, C.-E.3    Cosme, E.4    Brasseur, P.5    Verron, J.6
  • 9
    • 77955575343 scopus 로고    scopus 로고
    • Intercomparison of variational data assimilation and the ensemble kalman filter for global deterministic NWP. Part I: Description and single-observation experiments
    • Buehner, M., Houtekamer, P. L., Charette, C., Mitchell, H. L., and He, B.: Intercomparison of Variational Data Assimilation and the Ensemble Kalman Filter for Global Deterministic NWP. Part I: Description and Single-Observation Experiments, Mon. Weather Rev., 138, 1550-1566, 2010a.
    • (2010) Mon. Weather Rev. , vol.138 , pp. 1550-1566
    • Buehner, M.1    Houtekamer, P.L.2    Charette, C.3    Mitchell, H.L.4    He, B.5
  • 10
    • 77953851971 scopus 로고    scopus 로고
    • Intercomparison of variational data assimilation and the ensemble kalman filter for global deterministic NWP. Part II: One-month experiments with real observations
    • Buehner, M., Houtekamer, P. L., Charette, C., Mitchell, H. L., and He, B.: Intercomparison of Variational Data Assimilation and the Ensemble Kalman Filter for Global Deterministic NWP. Part II: One-Month Experiments with Real Observations, Mon. Weather Rev., 138, 1567-1586, 2010b.
    • (2010) Mon. Weather Rev. , vol.138 , pp. 1567-1586
    • Buehner, M.1    Houtekamer, P.L.2    Charette, C.3    Mitchell, H.L.4    He, B.5
  • 11
    • 39549083218 scopus 로고    scopus 로고
    • Predicting Air Quality: Improvements through advanced methods to integrate models and measurements
    • doi:10.1016/j.jcp.2007.02.024
    • Carmichael, G. R., Sandu, A., Chai, T., Daescu, D. N., Con-stantinescu, E. M., Tang, Y.: Predicting Air Quality: Improvements through advanced methods to integrate models and measurements, J. Comput. Phys., 227, 3540-3571, doi:10.1016/j.jcp.2007.02.024, 2008.
    • (2008) J. Comput. Phys. , vol.227 , pp. 3540-3571
    • Carmichael, G.R.1    Sandu, A.2    Chai, T.3    Daescu, D.N.4    Con-Stantinescu, E.M.5    Tang, Y.6
  • 12
    • 24144470136 scopus 로고    scopus 로고
    • A comparison between the 4DVAR and the ensemble Kalman filter techniques for radar data assimilation
    • DOI 10.1175/MWR3021.1
    • Caya, A., Sun, J., and Snyder, C.: A comparison between the 4DVAR and the ensemble Kalman filter techniques for radar data assimilation, Mon. Weather Rev., 133, 3081-3094, 2005. (Pubitemid 41782870)
    • (2005) Monthly Weather Review , vol.133 , Issue.11 , pp. 3081-3094
    • Caya, A.1    Sun, J.2    Snyder, C.3
  • 14
    • 77955250922 scopus 로고    scopus 로고
    • A hybrid approach to estimating error covariances in variational data assimilation
    • doi:10.1111/j.1600-0870.2010.00442.x
    • Cheng, H. Y., Jardak, M., Alexe, M., and Sandu, A.: A hybrid approach to estimating error covariances in variational data assimilation, Tellus A-Dyn. Meteorol. Oceanogr., 62A, 288-297, doi:10.1111/j.1600-0870.2010.00442.x, 2010.
    • (2010) Tellus A-Dyn. Meteorol. Oceanogr. , vol.62 A , pp. 288-297
    • Cheng, H.Y.1    Jardak, M.2    Alexe, M.3    Sandu, A.4
  • 18
    • 0000980873 scopus 로고    scopus 로고
    • Dual formulation of four-dimensional variational assimilation
    • Courtier, P.: Dual formulation of four-dimensional variational assimilation, Q. J. Roy. Meteorol. Soc., 123, 2449-2461, 1997. (Pubitemid 127605950)
    • (1997) Quarterly Journal of the Royal Meteorological Society , vol.123 , Issue.544 , pp. 2449-2461
    • Courtier, P.1
  • 19
    • 80054069135 scopus 로고    scopus 로고
    • Inverse modeling and combined state-source estimation for chemical weather
    • edited by: La-hoz, W., Khattatov, B., Menard, R Springer-Verlag Berlin
    • Elbern, H., Strunk, A., and Nieradzik, L.: Inverse Modeling and Combined State-Source Estimation for Chemical Weather, in Data Assimilation, Making Sense of Observations, edited by: La-hoz, W., Khattatov, B., Menard, R., 491-515, Springer-Verlag Berlin, 2010.
    • (2010) Data Assimilation, Making Sense of Observations , pp. 491-515
    • Elbern, H.1    Strunk, A.2    Nieradzik, L.3
  • 20
    • 0010416133 scopus 로고    scopus 로고
    • Inverse problems in atmospheric constituent transport
    • Cambridge University Press, Cambridge
    • Enting, I. G.: Inverse Problems in Atmospheric Constituent Transport. Atmospheric and Space Science Series, 392 pp., Cambridge University Press, Cambridge, 2002.
    • (2002) Atmospheric and Space Science Series , pp. 392
    • Enting, I.G.1
  • 21
    • 84884550570 scopus 로고    scopus 로고
    • The Ensemble Kalman Filter: Theoretical formulation and practical implementation
    • Evensen, G.: The Ensemble Kalman Filter: theoretical formulation and practical implementation. Ocean Dynamics, 53, 343-367, 2003.
    • (2003) Ocean Dynamics , vol.53 , pp. 343-367
    • Evensen, G.1
  • 23
    • 67849096591 scopus 로고    scopus 로고
    • 2 dry air mole fraction observations using an ensemble Kalman Filter
    • doi:10.5194/acp-9-2619-2009
    • 2 dry air mole fraction observations using an ensemble Kalman Filter, Atmos. Chem. Phys., 9, 2619-2633, doi:10.5194/acp-9-2619-2009, 2009.
    • (2009) Atmos. Chem. Phys. , vol.9 , pp. 2619-2633
    • Feng, L.1    Palmer, P.I.2    Bösch, H.3    Dance, S.4
  • 24
    • 33846306308 scopus 로고    scopus 로고
    • A comparative study of 4D-VAR and a 4D Ensemble Kalman Filter: Perfect model simulations with Lorenz-96
    • DOI 10.1111/j.1600-0870.2006.00205.x
    • Fertig, E. J., Harlim, J., and Hunt, B. R.: A comparative study of 4D-VAR and a 4D Ensemble Kalman Filter: perfect model simulations with Lorenz-96, Tellus A-Dyn. Meteorol. Oceanogr., 59, 96-100, 2007. (Pubitemid 46111269)
    • (2007) Tellus, Series A: Dynamic Meteorology and Oceanography , vol.59 , Issue.1 , pp. 96-100
    • Fertig, E.J.1    Harlim, J.2    Hunt, B.R.3
  • 25
    • 33750502680 scopus 로고    scopus 로고
    • Estimation of high-dimensional prior and posterior covariance matrices in Kalman filter variants
    • DOI 10.1016/j.jmva.2006.08.003, PII S0047259X06001187
    • Furrer, R. and Bengtsson, T.: Estimation of highdimensional prior and posteriori covariance matrices in Kalman filter variants, J. Multivar. Anal., 98, 227-255, doi:10.1016/j.jmva.2006.08.003, 2007. (Pubitemid 44660963)
    • (2007) Journal of Multivariate Analysis , vol.98 , Issue.2 , pp. 227-255
    • Furrer, R.1    Bengtsson, T.2
  • 26
    • 0033023511 scopus 로고    scopus 로고
    • Construction of correlation functions in two and three dimensions
    • Gaspari, G. and Cohn, S. E.: Construction of correlation functions in two and three dimensions, Q. J. Roy. Meteorol. Soc., 125, 723-757, doi:10.1256/smsqj.55416, 1999. (Pubitemid 29247364)
    • (1999) Quarterly Journal of the Royal Meteorological Society , vol.125 , Issue.554 , pp. 723-757
    • Gaspari, G.1    Cohn, S.E.2
  • 27
    • 84886314311 scopus 로고    scopus 로고
    • Analysis error covariance versus posterior covariance in varia-tional data assimilation
    • doi:10.1002/qj.2070
    • Gejadze, I. Yu., Shutyaevb, V., and Dimetc, F.-X. L.: Analysis error covariance versus posterior covariance in varia-tional data assimilation. Q.J.R. Meteorol. Soc., 139, 1826-1841, doi:10.1002/qj.2070, 2013.
    • (2013) Q.J.R. Meteorol. Soc. , vol.139 , pp. 1826-1841
    • Gejadze, I.Yu.1    Shutyaevb, V.2    Dimetc, F.-X.L.3
  • 29
    • 84890051196 scopus 로고    scopus 로고
    • Ocean data assimilation, in data assimilation
    • edited by W. Lahoz, B. Khattatov, R. Menard Springer-Verlag Berlin
    • Haines, K.: Ocean Data Assimilation, in Data Assimilation, Making Sense of Observations, edited by W. Lahoz, B. Khattatov, R. Menard, 517-547, Springer-Verlag Berlin, 2010.
    • (2010) Making Sense of Observations , pp. 517-547
    • Haines, K.1
  • 30
    • 80054052665 scopus 로고    scopus 로고
    • Land surface data assimilation
    • edited by: Lahoz, W., Khattatov, B., and Menard, R Springer-Verlag Berlin
    • Houser, P. R., De Lannoy, G. J. M., and Walker, J. P.: Land Surface Data Assimilation, in Data Assimilation, Making Sense of Observations, edited by: Lahoz, W., Khattatov, B., and Menard, R., 549-597, Springer-Verlag Berlin, 2010.
    • (2010) Data Assimilation, Making Sense of Observations , pp. 549-597
    • Houser, P.R.1    De Lannoy, G.J.M.2    Walker, J.P.3
  • 31
    • 0035129828 scopus 로고    scopus 로고
    • A sequential ensemble Kalman filter for atmospheric data assimilation
    • Houtekamer, P. L. and Mitchell, H. L.: A sequential ensemble Kalman filter for atmospheric data assimilation, Mon. Weather Rev., 129, 123-137, doi:10.1175/1520-0493(2001)129〈0123:ASEKFF〉2.0.CO;2, 2001. (Pubitemid 32180439)
    • (2001) Monthly Weather Review , vol.129 , Issue.1 , pp. 123-137
    • Houtekamer, P.L.1    Mitchell, H.L.2
  • 32
    • 84864282318 scopus 로고    scopus 로고
    • Experimental 1D+4D-Var assimilation of CloudSat observations
    • doi:10.1002/qj.988
    • Janiskova, M., Lopez, P., and Bauer, P.: Experimental 1D+4D-Var assimilation of CloudSat observations, Q. J. Roy. Meteorol. Soc., 138, 1196-1220, doi:10.1002/qj.988, 2012.
    • (2012) Q. J. Roy. Meteorol. Soc. , vol.138 , pp. 1196-1220
    • Janiskova, M.1    Lopez, P.2    Bauer, P.3
  • 33
    • 77950242739 scopus 로고    scopus 로고
    • Comparison of sequential data assimilation methods for the Kuramoto-Sivashinky equation
    • doi:10.1002/fld.2020
    • Jardak, M., Navon, I. M., and Zupanski, M.: Comparison of sequential data assimilation methods for the Kuramoto-Sivashinky equation, Int. J. Num. Meth. Fluid., 62, 374-402, doi:10.1002/fld.2020, 2010.
    • (2010) Int. J. Num. Meth. Fluid. , vol.62 , pp. 374-402
    • Jardak, M.1    Navon, I.M.2    Zupanski, M.3
  • 35
    • 0034963414 scopus 로고    scopus 로고
    • On aggregation errors in atmospheric transport inversions
    • doi:10.1029/2000JD900581
    • Kaminski, T., Rayner, P. J., Heimann, M., and Enting, I. G.: On aggregation errors in atmospheric transport inversions, J. Geophys. Res.-Atmos., 106, 4703-4715, doi:10.1029/2000JD900581, 2001.
    • (2001) J. Geophys. Res.-Atmos. , vol.106 , pp. 4703-4715
    • Kaminski, T.1    Rayner, P.J.2    Heimann, M.3    Enting, I.G.4
  • 36
    • 84871542686 scopus 로고    scopus 로고
    • Estimation of surface carbon fluxes with an advanced data assimilation methodology
    • doi:10.1029/2012JD018259
    • Kang, J.-S., Kalnay, E., Miyoshi, T., Liu, J., and Fung, I.: Estimation of surface carbon fluxes with an advanced data assimilation methodology, J. Geophys. Res.-Atmos., 117, D24101, doi:10.1029/2012JD018259, 2012.
    • (2012) J. Geophys. Res.-Atmos. , vol.117
    • Kang, J.-S.1    Kalnay, E.2    Miyoshi, T.3    Liu, J.4    Fung, I.5
  • 37
    • 84872235165 scopus 로고    scopus 로고
    • Quantifying the model structural error in carbon cycle data assimilation systems
    • doi:10.5194/gmd-6-45-2013
    • Kuppel, S., Chevallier, F., and Peylin, P.: Quantifying the model structural error in carbon cycle data assimilation systems, Geosci. Model Dev., 6, 45-55, doi:10.5194/gmd-6-45-2013, 2013.
    • (2013) Geosci. Model Dev. , vol.6 , pp. 45-55
    • Kuppel, S.1    Chevallier, F.2    Peylin, P.3
  • 38
    • 84870612116 scopus 로고    scopus 로고
    • Constituent assimilation
    • edited by: Lahoz, W., Khattatov, B., and Menard, R Springer-Verlag Berlin
    • Lahoz, W. and Errera, Q.: Constituent Assimilation, in Data Assimilation, Making Sense of Observations, edited by: Lahoz, W., Khattatov, B., and Menard, R., 449-489, Springer-Verlag Berlin, 2010.
    • (2010) Data Assimilation, Making Sense of Observations , pp. 449-489
    • Lahoz, W.1    Errera, Q.2
  • 39
    • 0036509454 scopus 로고    scopus 로고
    • Second-order information in data assimilation
    • Le Dimet, F.-X., Navon, I. M., and Daescu, D. N.: Second-Order Information in Data Assimilation, Mon. Weather Rev., 130, 629-648. doi:10.1175/1520-0493(2002)130〈0629:SOIIDA〉2.0.CO;2, 2002. (Pubitemid 34842413)
    • (2002) Monthly Weather Review , vol.130 , Issue.3 , pp. 629-648
    • Le Dimet, F.-X.1    Navon, I.M.2    Daescu, D.N.3
  • 40
    • 49149089665 scopus 로고    scopus 로고
    • Comparison between Local Ensemble Transform Kalman Filter and PSAS in the NASA finite volume GCM-perfect model experiments
    • doi:10.5194/npg-15-645-2008
    • Liu, J., Fertig, E. J., Li, H., Kalnay, E., Hunt, B. R., Kostelich, E. J., Szunyogh, I., and Todling, R.: Comparison between Local Ensemble Transform Kalman Filter and PSAS in the NASA finite volume GCM-perfect model experiments, Nonlin. Processes Geophys., 15, 645-659, doi:10.5194/npg-15-645-2008, 2008.
    • (2008) Nonlin. Processes Geophys. , vol.15 , pp. 645-659
    • Liu, J.1    Fertig, E.J.2    Li, H.3    Kalnay, E.4    Hunt, B.R.5    Kostelich, E.J.6    Szunyogh, I.7    Todling, R.8
  • 41
    • 0036544528 scopus 로고    scopus 로고
    • The interaction between model resolution, observation resolution and observation density in data assimilation: A one-dimensional study
    • DOI 10.1256/003590002320373337
    • Liu, Z.-Q. and Rabier, F.: The interaction between model resolution, observation resolution and observation density in data assimilation: A one-dimensional study, Q. J. Roy. Meteorol. Soc., 128, 1367-1386, 2002. (Pubitemid 34829752)
    • (2002) Quarterly Journal of the Royal Meteorological Society , vol.128 , Issue.582 PART B , pp. 1367-1386
    • Liu, Z.-Q.1    Rabier, F.2
  • 43
    • 0347709927 scopus 로고    scopus 로고
    • The potential of the ensemble Kalman filter for NWP - A comparison with 4D-Var
    • DOI 10.1256/qj.02.132
    • Lorenc, A. C.: The potential of the ensemble Kalman filter for NWP-a comparison with 4D-Var, Q. J. Roy. Meteorol. Soc., 129, 3183-3203, 2003. (Pubitemid 38034055)
    • (2003) Quarterly Journal of the Royal Meteorological Society , vol.129 , Issue.595 PART B , pp. 3183-3203
    • Lorenc, A.C.1
  • 44
  • 45
    • 0036322060 scopus 로고    scopus 로고
    • Four-dimensional variational assimilation of total column water vapor in rainy areas
    • Marécal, V. and Mahfouf, J. F.: Four-dimensional variational assimilation of total column water vapor in rainy areas, Mon. Weather Rev., 130, 43-58, doi:10.1175/1520-0493(2002)130〈0043:fdvaot〉2.0.CO;2, 2002. (Pubitemid 34838238)
    • (2002) Monthly Weather Review , vol.130 , Issue.1 , pp. 43-58
    • Marecal, V.1    Mahfouf, J.-F.2
  • 46
    • 78651251780 scopus 로고    scopus 로고
    • On the Merits of Using a 3D-FGAT Assimilation Scheme with an Outer Loop for Atmospheric Situations Governed by Transport
    • doi:10.1175/2010MWR3237.1
    • Massart, S., Pajot, B., Piacentini, A., and Pannekoucke, O.: On the Merits of Using a 3D-FGAT Assimilation Scheme with an Outer Loop for Atmospheric Situations Governed by Transport. Mon. Wea. Rev., 138, 4509-4522. doi:10.1175/2010MWR3237.1, 2010.
    • (2010) Mon. Wea. Rev. , vol.138 , pp. 4509-4522
    • Massart, S.1    Pajot, B.2    Piacentini, A.3    Pannekoucke, O.4
  • 47
    • 63149124096 scopus 로고    scopus 로고
    • Four-dimensional variational data assimilation for inverse modelling of atmospheric methane emissions: Method and comparison with synthesis inversion
    • doi:10.5194/acp-8-6341-2008
    • Meirink, J. F., Bergamaschi, P., and Krol, M. C.: Four-dimensional variational data assimilation for inverse modelling of atmospheric methane emissions: method and comparison with synthesis inversion, Atmos. Chem. Phys., 8, 6341-6353, doi:10.5194/acp-8-6341-2008, 2008.
    • (2008) Atmos. Chem. Phys. , vol.8 , pp. 6341-6353
    • Meirink, J.F.1    Bergamaschi, P.2    Krol, M.C.3
  • 48
    • 80052057954 scopus 로고    scopus 로고
    • 2 flux estimation using an ensemble-based 4-D data assimilation system
    • doi:10.1029/2010JD015366
    • 2 flux estimation using an ensemble-based 4-D data assimilation system, J. Geophys. Res.-Atmos., 116, D16306, doi:10.1029/2010JD015366, 2011.
    • (2011) J. Geophys. Res.-Atmos. , vol.116
    • Miyazaki, K.1    Maki, T.2    Patra, P.3    Nakazawa, T.4
  • 49
    • 84895364136 scopus 로고    scopus 로고
    • Mathematical concepts of data assimilation
    • edited by: Lahoz, W., Khattatov, B., Menard, R Springer-Verlag Berlin
    • Nichols, D.: Mathematical Concepts of Data Assimilation, in Data Assimilation, Making Sense of Observations, edited by: Lahoz, W., Khattatov, B., Menard, R., 13-40, Springer-Verlag Berlin, 2010.
    • (2010) Data Assimilation, Making Sense of Observations , pp. 13-40
    • Nichols, D.1
  • 50
    • 0003982971 scopus 로고    scopus 로고
    • Numerical optimization
    • Springer-Verlag, Berlin
    • Nocedal, J. and Wright, S. J.: Numerical Optimization, 224-229, Springer Ser. Oper. Res., Springer-Verlag, Berlin, 2006.
    • (2006) Springer Ser. Oper. Res , pp. 224-229
    • Nocedal, J.1    Wright, S.J.2
  • 52
    • 2542440581 scopus 로고    scopus 로고
    • Inverse three-dimensional variational data assimilation for an advection-diffusion problem: Impact of diffusion and hybrid application
    • doi:10.1029/2003GL018830
    • Park, S. K. and Kalnay, E.: Inverse three-dimensional variational data assimilation for an advection-diffusion problem: Impact of diffusion and hybrid application, Geophys. Res. Lett., 31, L04102, doi:10.1029/2003GL018830, 2004.
    • (2004) Geophys. Res. Lett. , vol.31
    • Park, S.K.1    Kalnay, E.2
  • 54
    • 36448964209 scopus 로고    scopus 로고
    • 1DVAR analysis of temperature and humidity using GPS radio occultation refractivity data
    • doi:10.1029/2001jd000935
    • Poli, P., Joiner, J., and Kursinski, E. R.: 1DVAR analysis of temperature and humidity using GPS radio occultation refractivity data, J. Geophys. Res.-Atmos., 107, 4448, doi:10.1029/2001jd000935, 2002.
    • (2002) J. Geophys. Res.-Atmos. , vol.107 , pp. 4448
    • Poli, P.1    Joiner, J.2    Kursinski, E.R.3
  • 55
    • 77957654040 scopus 로고    scopus 로고
    • The current state of carbon-cycle data assimilation
    • doi:10.1016/j.cosust.2010.05.005
    • Rayner, P. J.: The current state of carbon-cycle data assimilation, Current Opinion in Environmental Sustainability, 2, 289-296, doi:10.1016/j.cosust.2010.05.005, 2010.
    • (2010) Current Opinion in Environmental Sustainability , vol.2 , pp. 289-296
    • Rayner, P.J.1
  • 56
    • 27644496017 scopus 로고    scopus 로고
    • Two decades of terrestrial carbon fluxes from a carbon cycle data assimilation system (CCDAS)
    • DOI 10.1029/2004GB002254, GB2026
    • Rayner, P. J., Scholze, M., Knorr, W., Kaminski, T., Giering, R., and Widmann, H.: Two decades of terrestrial carbon fluxes from a carbon cycle data assimilation system (CCDAS), Global Bio-geochem. Cy., 19, GB2026, doi:10.1029/2004GB002254, 2005. (Pubitemid 41576425)
    • (2005) Global Biogeochemical Cycles , vol.19 , Issue.2 , pp. 1-20
    • Rayner, P.J.1    Scholze, M.2    Knorr, W.3    Kaminski, T.4    Giering, R.5    Widmann, H.6
  • 57
    • 54949158157 scopus 로고    scopus 로고
    • Data assimilation methods in the earth sciences
    • doi:10.1016/j.advwatres.2008.01.001
    • Reichle, R. H.: Data Assimilation Methods in the Earth Sciences, Adv. Water Resour., 31, 1411-1418, doi:10.1016/j.advwatres.2008.01.001, 2008.
    • (2008) Adv. Water Resour. , vol.31 , pp. 1411-1418
    • Reichle, R.H.1
  • 59
    • 0030224023 scopus 로고    scopus 로고
    • Solution of the advection-dispersion equation: Continuous load of finite duration
    • Runkel, R. L.: Solution of the advection-dispersion equation: continuous load of finite duration, J. Environ. Eng., 122, 830-832, 1996.
    • (1996) J. Environ. Eng. , vol.122 , pp. 830-832
    • Runkel, R.L.1
  • 60
    • 84870603396 scopus 로고    scopus 로고
    • Numerical weather prediction
    • edited by: Lahoz, W., Khattatov, B., Menard, R Springer-Verlag Berlin
    • Swinbank, R.: Numerical Weather Prediction, in Data Assimilation, Making Sense of Observations, edited by: Lahoz, W., Khattatov, B., Menard, R., 381-407, Springer-Verlag Berlin, 2010.
    • (2010) Data Assimilation, Making Sense of Observations , pp. 381-407
    • Swinbank, R.1
  • 61
    • 84876512588 scopus 로고    scopus 로고
    • Variational assimilation
    • edited by: Lahoz, W., Khattatov, B., Menard, R Springer-Verlag Berlin
    • Talagrand, O.: Variational Assimilation, in Data Assimilation, Making Sense of Observations, edited by: Lahoz, W., Khattatov, B., Menard, R., 41-67, Springer-Verlag Berlin, 2010.
    • (2010) Data Assimilation, Making Sense of Observations , pp. 41-67
    • Talagrand, O.1
  • 62
    • 0034962651 scopus 로고    scopus 로고
    • Summarizing multiple aspects of model performance in a single diagram
    • Taylor, K. E.: Summarizing multiple aspects of model performance in a single diagram. J. Geophys. Res.-Atmos., 106, 7183-7192, 2001.
    • (2001) J. Geophys. Res.-Atmos. , vol.106 , pp. 7183-7192
    • Taylor, K.E.1
  • 64
    • 0036646009 scopus 로고    scopus 로고
    • Ensemble data assimilation without perturbed observations
    • Whitaker, J. S. and Hamill, T. M.: Ensemble data assimilation without perturbed observations, Mon. Weather Rev., 130, 1913-1924, doi:10.1175/1520- 0493(2002)130〈1913:EDAWPO〉2.0.CO;2, 2002. (Pubitemid 34825252)
    • (2002) Monthly Weather Review , vol.130 , Issue.7 , pp. 1913-1924
    • Whitaker, J.S.1    Hamill, T.M.2
  • 65
    • 68249150817 scopus 로고    scopus 로고
    • A comparison of variational and ensemble-based data assimilation systems for reanalysis of sparse observations
    • Whitaker, J. S., Compo, G. P., and Thepaut, J. N.: A Comparison of Variational and Ensemble-Based Data Assimilation Systems for Reanalysis of Sparse Observations, Mon. Weather Rev., 137, 1991-1999, 2009.
    • (2009) Mon. Weather Rev. , vol.137 , pp. 1991-1999
    • Whitaker, J.S.1    Compo, G.P.2    Thepaut, J.N.3
  • 66
    • 58149252059 scopus 로고    scopus 로고
    • A comparison study of data assimilation algorithms for ozone forecasts
    • doi:10.1029/2008JD009991
    • Wu, L., Mallet, V., Bocquet, M., and Sportisse, B.: A comparison study of data assimilation algorithms for ozone forecasts, J. Geo-phys. Res.-Atmos., 113, D20310, doi:10.1029/2008JD009991, 2008.
    • (2008) J. Geo-phys. Res.-Atmos. , vol.113
    • Wu, L.1    Mallet, V.2    Bocquet, M.3    Sportisse, B.4
  • 67
    • 84890070399 scopus 로고    scopus 로고
    • Improving computational efficiency in large linear inverse problems: An example from carbon dioxide flux estimation
    • doi:10.5194/gmd-6-583-2013
    • Yadav, V. and Michalak, A. M.: Improving computational efficiency in large linear inverse problems: an example from carbon dioxide flux estimation, Geosci. Model Dev., 6, 583-590, doi:10.5194/gmd-6-583-2013, 2013.
    • (2013) Geosci. Model Dev. , vol.6 , pp. 583-590
    • Yadav, V.1    Michalak, A.M.2
  • 68
    • 79953213364 scopus 로고    scopus 로고
    • Inter-comparison of an Ensemble Kalman Filter with Three-and Four-Dimensional Variational Data Assimilation Methods in a Limited-Area Model over the Month of June 2003
    • Zhang, M., Zhang, F. Q., Huang, X. Y., and Zhang, X.: Inter-comparison of an Ensemble Kalman Filter with Three-and Four-Dimensional Variational Data Assimilation Methods in a Limited-Area Model over the Month of June 2003, Mon. Weather Rev., 139, 566-572, 2011.
    • (2011) Mon. Weather Rev. , vol.139 , pp. 566-572
    • Zhang, M.1    Zhang, F.Q.2    Huang, X.Y.3    Zhang, X.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.