Background error covariances for a BlendVar assimilation system

References

• Aladin, I. T. 1997. The ALADIN project mesoscale modelling seen as basic tool for weather forecasting and atmospheric research. WMO Bull. 46, 317–324.
   Google Scholar
• Berre, L. 2000. Estimation of synoptic and mesoscale forecast error covariances in a limited-area model. Mon. Weather Rev. 128(3), 644–667.
   Web of Science ®Google Scholar
• Berre, L. and Desroziers, G. 2010. Filtering of background error variances and correlations by local spatial averaging: a review. Mon. Weather Rev. 138(10), 3693–3720.
   Web of Science ®Google Scholar
• Berre, L., Desroziers, G., Raynaud, L., Montroty, R. and Gibier, F. 2009. Consistent operational ensemble variational assimilation. In: Extended Abstracts Fifth WMO International Symposium on Data Assimilation, Paper N. 196, Melbourne, 1–8
   Google Scholar
• Berre, L., Ştefănescu, S. E. and Pereira, M. B. 2006. The representation of the analysis effect in three error simulation techniques. Tellus A 58(2), 196–209.
   Google Scholar
• Berre, L., Varella, H. and Desroziers, G. 2015. Modelling of flow-dependent ensemble-based background-error correlations using a wavelet formulation in 4D-Var at Météo-France. Q. J. R. Meteorol. Soc. 141(692), 2803–2812.
   Web of Science ®Google Scholar
• Brousseau, P., Berre, L., Bouttier, F. and Desroziers, G. 2011. Background-error covariances for a convective-scale data-assimilation system: AROME-France 3D-Var. Q. J. R. Meteorol. Soc. 137(655), 409–422.
   Web of Science ®Google Scholar
• Brožková, R., Derková, M., Belluš, M. and Farda, F. 2006. Atmospheric forcing by ALADIN/MFSTEP and MFSTEP oriented tunings. Ocean Sci. Discuss. 3(3), 319–342.
   Google Scholar
• Brožková, R., Klaric, D., Ivatek-Sahdan, S., Geleyn, J. F., Casse, V. and co-authors. 2001. DFI blending: an alternative tool for preparation of the initial conditions for LAM. PWPR Report Series No. 31 WMO-TD No. 1064, 1–7.
   Google Scholar
• Buehner, M., McTaggart-Cowan, R., Beaulne, A., Charette, C., Garand, L. and co-authors. 2015. Implementation of deterministic weather forecasting systems based on ensemble-variational data assimilation at environment Canada. Part I: the global system. Mon. Weather Rev. 143(7), 2532–2559.
   Web of Science ®Google Scholar
• Caian, M. and Geleyn, J.-F. 1997. Some limits to the variable-mesh solution and comparison with the nested-lam solution. Q. J. R. Meteorol. Soc. 123(539), 743–766.
   Web of Science ®Google Scholar
• Courtier, P., Thépaut, J.-N. and Hollingsworth, A. 1994. A strategy for operational implementation of 4D-Var, using an incremental approach. Q. J. R. Meteorol. Soc. 120(519), 1367–1387.
   Web of Science ®Google Scholar
• Dahlgren, P. and Gustafsson, N. 2012. Assimilating host model information into a limited area model. Tellus A. 64, 1–17.
   Google Scholar
• Daley, R. 1991. Atmospheric Data Analysis. Cambridge University Press, Cambridge, 457 pp.
   Google Scholar
• Derková, M. and Belluš, M. 2007. Various applications of the blending by digital filter technique in the ALADIN numerical weather prediction system. Meteorol. časopis 10(1), 27–36.
   Google Scholar
• Desroziers, G., Berre, L., Chapnik, B. and Poli, P. 2005. Diagnosis of observation, background and analysis-error statistics in observation space. Q. J. R. Meteorol. Soc. 131(613), 3385–3396.
   Web of Science ®Google Scholar
• Fischer, C., Montmerle, T., Berre, L., Auger, L. and Ştefănescu, S. E. 2005. An overview of the variational assimilation in theALADIN/France numerical weather-prediction system. Q. J. R. Meteorol. Soc. 131(613), 3477–3492.
   Web of Science ®Google Scholar
• Guidard, V. and Fischer, C. 2008. Introducing the coupling information in a limited-area variational assimilation. Q. J. R. Meteorol. Soc. 134(632), 723–735.
   Web of Science ®Google Scholar
• Guidard, V., Fischer, C., Nuret, M. and Džiedžic, A. 2006. Evaluation of the ALADIN 3D-VAR with observations of the MAP campaign. Meteorol. Atmos. Phys. 92(3–4), 161–173.
   Web of Science ®Google Scholar
• Isaksen, L., Haseler, J., Buizza, R. and Leutbecher, M. 2010. The new ensemble of data assimilations. ECMWF Newsl. 123, 17–21.
   Google Scholar
• Kretschmer, M., Hunt, B.R., Ott, E., Bishop, C.H., Rainwater, S. and co-authors. 2015. A composite state method for ensemble data assimilation with multiple limited-area models. Tellus A. 67(1), 26495. DOI:10.3402/tellusa.v67.26495.
   Google Scholar
• Liu, B. and Xie, L. 2011. A Scale-Selective Data assimilation approach to improving tropical cyclone track and intensity forecasts in a limited-area model: a case study of Hurricane Felix (2007). Weather Forecast. 27(1), 124–140.
   Web of Science ®Google Scholar
• Lynch, P., Giard, D. and Ivanovici, V. 1997. Improving the efficiency of a digital filtering scheme for diabatic initialization. Mon. Weather Rev. 125(8), 1976–1982.
   Web of Science ®Google Scholar
• Peng, S., Xie, L., Liu, B. and Semazzi, F. 2010. Application of scale-selective data assimilation to regional climate modeling and prediction. Mon. Weather Rev. 138(4), 1307–1318.
   Web of Science ®Google Scholar
• Radnóti, G., Ajjaji, R., Bubnová, R., Caian, M., Cordoneanu, E. and co-authors. 1995. The spectral limited area model ARPEGE-ALADIN. PWPR Rep. Ser. 7, WMO-TD 699. ISBN TD006266 7, 1–7.
   Google Scholar
• Široká, M., Boloni, G., Brozkova, R., Dziedzic, A., Fischer, C. and co-authors. 2001. Innovative developments for a 3DVAR analysis in a limited area model: scale selection and blended cycling. WORLD Meteorol. Organ. TD, 1–53.
   Google Scholar
• Široká, M., Fischer, C., Cassé, V., Brožková, R. and Geleyn, J.-F. 2003. The definition of mesoscale selective forecast error covariances for a limited area variational analysis. Meteorol. Atmos. Phys. 82(1–4), 227–244.
   Web of Science ®Google Scholar
• Wang, H., Huang, X.-Y., Xu, D. and Liu, J. 2014. A scale-dependent blending scheme for WRFDA: impact on regional weather forecasting. Geosci. Model Dev. 7(4), 1819–1828.
   Web of Science ®Google Scholar
• Xie, L., Liu, B. and Peng, S. 2010. Application of scale-selective data assimilation to tropical cyclone track simulation. J. Geophys. Res. Atmos. 115(D17), D17105. DOI:10.1029/2009JD013471.
   Web of Science ®Google Scholar
• Yang, X. 2005. Analysis blending using spatial filter in grid-point model coupling. Hirlam Newslett. 48, 49–55.
   Google Scholar