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Volumn 137, Issue 655, 2011, Pages 467-482

Improving the use of observations to calibrate ensemble spread

Author keywords

ATOVS; ETKF; Inflation factor; Innovation covariance; MOGREPS; Observation error; Spread skill regression

Indexed keywords

ATOVS; ETKF; INFLATION FACTORS; MOGREPS; OBSERVATION ERROR; SPREAD/SKILL REGRESSION;

EID: 79952551555     PISSN: 00359009     EISSN: 1477870X     Source Type: Journal    
DOI: 10.1002/qj.744     Document Type: Article
Times cited : (18)

References (37)
  • 1
    • 58049107252 scopus 로고    scopus 로고
    • Ensemble covariances adaptively localized with ECO-RAP. Part 1: tests on simple error models
    • Bishop CH, Hodyss D. 2009. Ensemble covariances adaptively localized with ECO-RAP. Part 1: tests on simple error models. Tellus 61A: 84-96.
    • (2009) Tellus , vol.61 A , pp. 84-96
    • Bishop, C.1    Hodyss, D.2
  • 2
    • 42549148763 scopus 로고    scopus 로고
    • Accounting for the effect of observation errors on verification of MOGREPS
    • Bowler NE. 2008. Accounting for the effect of observation errors on verification of MOGREPS. Met. Appl. 15: 199-205.
    • (2008) Met. Appl. , vol.15 , pp. 199-205
    • Bowler, N.1
  • 3
    • 69549098197 scopus 로고    scopus 로고
    • ETKF perturbations for a regional ensemble prediction system
    • Bowler NE, Mylne KR. 2009. ETKF perturbations for a regional ensemble prediction system. Q. J. R. Meteorol. Soc. 135: 757-766.
    • (2009) Q. J. R. Meteorol. Soc. , vol.135 , pp. 757-766
    • Bowler, N.1    Mylne, K.2
  • 5
    • 69549083390 scopus 로고    scopus 로고
    • The local ETKF and SKEB: Upgrades to the MOGREPS short-range ensemble prediction system
    • Bowler NE, Arribas A, Beare SE, Mylne KR, Shutts G. 2009. The local ETKF and SKEB: Upgrades to the MOGREPS short-range ensemble prediction system. Q. J. R. Meteorol. Soc. 135: 767-776.
    • (2009) Q. J. R. Meteorol. Soc. , vol.135 , pp. 767-776
    • Bowler, N.1    Arribas, A.2    Beare, S.3    Mylne, K.4    Shutts, G.5
  • 6
    • 58049193006 scopus 로고    scopus 로고
    • Potential use of an ensemble of analyses in the ECMWF ensemble prediction system
    • Buizza R, Leutbecher M, Isaksen L. 2008. Potential use of an ensemble of analyses in the ECMWF ensemble prediction system. Q. J. R. Meteorol. Soc. 134: 2051-2066.
    • (2008) Q. J. R. Meteorol. Soc. , vol.134 , pp. 2051-2066
    • Buizza, R.1    Leutbecher, M.2    Isaksen, L.3
  • 7
    • 77953226947 scopus 로고    scopus 로고
    • Vertical covariance localization for satellite radiances in Ensemble Kalman Filters
    • Campbell WF, Bishop CH, Hodyss D. 2010. Vertical covariance localization for satellite radiances in Ensemble Kalman Filters. Mon. Weather Rev. 138: 282-290.
    • (2010) Mon. Weather Rev. , vol.138 , pp. 282-290
    • Campbell, W.1    Bishop, C.2    Hodyss, D.3
  • 8
    • 21144479676 scopus 로고
    • Estimating observation error statistics for atmospheric data assimilation
    • Daley R. 1993. Estimating observation error statistics for atmospheric data assimilation. Ann. Geophys. 11: 634-647.
    • (1993) Ann. Geophys. , vol.11 , pp. 634-647
    • Daley, R.1
  • 9
    • 38849191109 scopus 로고    scopus 로고
    • The optimal density of atmospheric sounder observations in the Met Office NWP system
    • Dando ML, Thorpe AJ, Eyre JR. 2007. The optimal density of atmospheric sounder observations in the Met Office NWP system. Q. J. R. Meteorol. Soc. 133: 1933-1943.
    • (2007) Q. J. R. Meteorol. Soc. , vol.133 , pp. 1933-1943
    • Dando, M.1    Thorpe, A.2    Eyre, J.3
  • 10
    • 0000991256 scopus 로고
    • On-line estimation of error covariance parameters for atmospheric data assimilation
    • Dee DP. 1995. On-line estimation of error covariance parameters for atmospheric data assimilation. Mon. Weather Rev. 123: 1128-1145.
    • (1995) Mon. Weather Rev. , vol.123 , pp. 1128-1145
    • Dee, D.1
  • 11
    • 0032750664 scopus 로고    scopus 로고
    • Maximum-likelihood estimation of forecast and observation error covariance parameters. Part I: Methodology
    • Dee DP, Da Silva AM. 1999. Maximum-likelihood estimation of forecast and observation error covariance parameters. Part I: Methodology. Mon. Weather Rev. 127: 1822-1834.
    • (1999) Mon. Weather Rev. , vol.127 , pp. 1822-1834
    • Dee, D.1    Da Silva, A.2
  • 12
    • 69749084907 scopus 로고    scopus 로고
    • Diagnosis of observation, background and analysis-error statistics in observation space
    • Desroziers G, Berre L, Chapnik B, Poli P. 2005. Diagnosis of observation, background and analysis-error statistics in observation space. Q. J. R. Meteorol. Soc. 131: 3385-3396.
    • (2005) Q. J. R. Meteorol. Soc. , vol.131 , pp. 3385-3396
    • Desroziers, G.1    Berre, L.2    Chapnik, B.3    Poli, P.4
  • 13
    • 0033764148 scopus 로고    scopus 로고
    • A comparison of the impact of TOVS and ATOVS satellite sounding data on the accuracy of numerical weather forecasts
    • English SJ, Renshaw RJ, Dibben PC, Smith AJ, Rayer PJ, Poulsen C, Saunders FW, Eyre JR. 2000. A comparison of the impact of TOVS and ATOVS satellite sounding data on the accuracy of numerical weather forecasts. Q. J. R. Meteorol. Soc. 126: 2911-2931.
    • (2000) Q. J. R. Meteorol. Soc. , vol.126 , pp. 2911-2931
    • English, S.1    Renshaw, R.2    Dibben, P.3    Smith, A.4    Rayer, P.5    Poulsen, C.6    Saunders, F.7    Eyre, J.8
  • 14
    • 77957112738 scopus 로고    scopus 로고
    • Development and evaluation of an ensemble forecasting system for coastal storm surges
    • Flowerdew J, Horsburgh K, Wilson C, Mylne K. 2010. Development and evaluation of an ensemble forecasting system for coastal storm surges. Q. J. R. Meteorol. Soc. 136: 1444-1456.
    • (2010) Q. J. R. Meteorol. Soc. , vol.136 , pp. 1444-1456
    • Flowerdew, J.1    Horsburgh, K.2    Wilson, C.3    Mylne, K.4
  • 15
    • 0022842583 scopus 로고
    • The statistical structure of short-range forecast errors as determined from radiosonde data. Part I: The wind field
    • Hollingsworth A, Lönnberg P. 1986. The statistical structure of short-range forecast errors as determined from radiosonde data. Part I: The wind field. Tellus 38A: 111-136.
    • (1986) Tellus , vol.38 A , pp. 111-136
    • Hollingsworth, A.1    Lönnberg, P.2
  • 16
    • 0032024819 scopus 로고    scopus 로고
    • Data assimilation using an Ensemble Kalman Filter technique
    • Houtekamer PL, Mitchell HL. 1998. Data assimilation using an Ensemble Kalman Filter technique. Mon. Weather Rev. 126: 796-811.
    • (1998) Mon. Weather Rev. , vol.126 , pp. 796-811
    • Houtekamer, P.1    Mitchell, H.2
  • 18
    • 70149088574 scopus 로고    scopus 로고
    • Covariance localisation and balance in an Ensemble Kalman Filter
    • Kepert JD. 2009. Covariance localisation and balance in an Ensemble Kalman Filter. Q. J. R. Meteorol. Soc. 135: 1157-1176.
    • (2009) Q. J. R. Meteorol. Soc. , vol.135 , pp. 1157-1176
    • Kepert, J.1
  • 19
    • 4444303259 scopus 로고    scopus 로고
    • Implications of stochastic and deterministic filters as ensemble-based data assimilation methods in varying regimes of error growth
    • Lawson WG, Hansen JA. 2004. Implications of stochastic and deterministic filters as ensemble-based data assimilation methods in varying regimes of error growth. Mon. Weather Rev. 132: 1966-1981.
    • (2004) Mon. Weather Rev. , vol.132 , pp. 1966-1981
    • Lawson, W.1    Hansen, J.2
  • 21
    • 66849124453 scopus 로고    scopus 로고
    • Simultaneous estimation of covariance inflation and observation errors within an Ensemble Kalman Filter
    • Li Z, Kalnay E, Miyoshi T. 2009. Simultaneous estimation of covariance inflation and observation errors within an Ensemble Kalman Filter. Q. J. R. Meteorol. Soc. 135: 523-533.
    • (2009) Q. J. R. Meteorol. Soc. , vol.135 , pp. 523-533
    • Li, Z.1    Kalnay, E.2    Miyoshi, T.3
  • 22
    • 0036544528 scopus 로고    scopus 로고
    • The interaction between model resolution, observation resolution and observation density in data assimilation: A one-dimensional study
    • Liu ZQ, Rabier F. 2002. The interaction between model resolution, observation resolution and observation density in data assimilation: A one-dimensional study. Q. J. R. Meteorol. Soc. 128: 1367-1386.
    • (2002) Q. J. R. Meteorol. Soc. , vol.128 , pp. 1367-1386
    • Liu, Z.1    Rabier, F.2
  • 23
    • 61349158711 scopus 로고    scopus 로고
    • Flow-dependent verses flow-independent initial perturbations for ensemble prediction
    • Magnusson L, Nycander J, Kallen E. 2008. Flow-dependent verses flow-independent initial perturbations for ensemble prediction. Tellus 61A: 194-209.
    • (2008) Tellus , vol.61 A , pp. 194-209
    • Magnusson, L.1    Nycander, J.2    Kallen, E.3
  • 24
    • 60349097732 scopus 로고    scopus 로고
    • Hydrological aspects of meteorological verification
    • Pappenberger F, Scipal K, Buizza R. 2008. Hydrological aspects of meteorological verification. Atmos. Sci. Lett. 9: 43-52.
    • (2008) Atmos. Sci. Lett. , vol.9 , pp. 43-52
    • Pappenberger, F.1    Scipal, K.2    Buizza, R.3
  • 25
    • 58049196895 scopus 로고    scopus 로고
    • TIGGE: Preliminary results on comparing and combining ensembles
    • Park Y-Y, Buizza R, Leutbecher M. 2008. TIGGE: Preliminary results on comparing and combining ensembles. Q. J. R. Meteorol. Soc. 134: 2029-2050.
    • (2008) Q. J. R. Meteorol. Soc. , vol.134 , pp. 2029-2050
    • Park, Y.-Y.1    Buizza, R.2    Leutbecher, M.3
  • 27
    • 0034052601 scopus 로고    scopus 로고
    • Skill and relative economic value of the ECMWF ensemble prediction system
    • Richardson DS. 2000. Skill and relative economic value of the ECMWF ensemble prediction system. Q. J. R. Meteorol. Soc. 126: 649-667.
    • (2000) Q. J. R. Meteorol. Soc. , vol.126 , pp. 649-667
    • Richardson, D.1
  • 28
    • 3142779257 scopus 로고    scopus 로고
    • Effects of observation errors on the statistics for ensemble spread and reliability
    • Saetra Ø, Hersbach H, Bidlot J, Richardson DS. 2004. Effects of observation errors on the statistics for ensemble spread and reliability. Mon. Weather Rev. 132: 1487-1501.
    • (2004) Mon. Weather Rev. , vol.132 , pp. 1487-1501
    • Saetra, O.1    Hersbach, H.2    Bidlot, J.3    Richardson, D.4
  • 30
    • 0037980372 scopus 로고    scopus 로고
    • A comparison of breeding and ensemble transform Kalman Filter ensemble forecast systems
    • Wang X, Bishop CH. 2003. A comparison of breeding and ensemble transform Kalman Filter ensemble forecast systems. J. Atmos. Sci. 60: 1140-1158.
    • (2003) J. Atmos. Sci. , vol.60 , pp. 1140-1158
    • Wang, X.1    Bishop, C.2
  • 31
    • 3943069649 scopus 로고    scopus 로고
    • Which is better, an ensemble of positive-negative pairs or a centred spherical simplex ensemble?
    • Wang X, Bishop CH, Julier SJ. 2004. Which is better, an ensemble of positive-negative pairs or a centred spherical simplex ensemble? Mon. Weather Rev. 132: 1590-1605.
    • (2004) Mon. Weather Rev. , vol.132 , pp. 1590-1605
    • Wang, X.1    Bishop, C.2    Julier, S.3
  • 32
    • 34047222707 scopus 로고    scopus 로고
    • A comparison of hybrid ensemble transform Kalman filter-optimal interpolation and ensemble square root filter analysis schemes
    • Wang X, Hamill TM, Whitaker JS. 2007. A comparison of hybrid ensemble transform Kalman filter-optimal interpolation and ensemble square root filter analysis schemes. Mon. Weather Rev. 135: 1055-1076.
    • (2007) Mon. Weather Rev. , vol.135 , pp. 1055-1076
    • Wang, X.1    Hamill, T.2    Whitaker, J.3
  • 33
    • 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 DM, Hamill TM, Snyder C. 2008. A Hybrid ETKF-3DVAR data assimilation scheme for the WRF Model. Part I: Observing System Simulation Experiment. Mon. Weather Rev. 136: 5116-5131.
    • (2008) Mon. Weather Rev. , vol.136 , pp. 5116-5131
    • Wang, X.1    Barker, D.2    Hamill, T.3    Snyder, C.4
  • 34
    • 0141459914 scopus 로고    scopus 로고
    • A new measure of ensemble performance: Perturbation versus Error Correlation Analysis (PECA)
    • Wei M, Toth Z. 2003. A new measure of ensemble performance: Perturbation versus Error Correlation Analysis (PECA). Mon. Weather Rev. 131: 1549-1565.
    • (2003) Mon. Weather Rev. , vol.131 , pp. 1549-1565
    • Wei, M.1    Toth, Z.2
  • 35
    • 37549070304 scopus 로고    scopus 로고
    • Initial perturbations based on the ensemble transform (ET) technique in the NCEP global operational forecast system
    • Wei M, Toth Z, Wobus R, Zhu Y. 2008. Initial perturbations based on the ensemble transform (ET) technique in the NCEP global operational forecast system. Tellus 60A: 62-79.
    • (2008) Tellus , vol.60 A , pp. 62-79
    • Wei, M.1    Toth, Z.2    Wobus, R.3    Zhu, Y.4
  • 36
    • 0036646009 scopus 로고    scopus 로고
    • Ensemble Data Assimilation without Perturbed Observations
    • Whitaker JS, Hamill TM. 2002. Ensemble Data Assimilation without Perturbed Observations. Mon. Weather Rev. 130: 1913-1924.
    • (2002) Mon. Weather Rev. , vol.130 , pp. 1913-1924
    • Whitaker, J.1    Hamill, T.2
  • 37
    • 0003632941 scopus 로고    scopus 로고
    • Statistical methods in the atmospheric sciences.
    • 2nd ed.) Elsevier: Amsterdam.
    • Wilks DS. 2006. Statistical methods in the atmospheric sciences. (2nd ed.) Elsevier: Amsterdam.
    • (2006)
    • Wilks, D.1


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