SEARCH

SEARCH BY CITATION

References

  • Aumann H, Chahine M, Gautier C, Goldberg M, Kalnay E, McMillin L, Revercomb H, Rosenkranz P, Smith W, Staelin D, Strow L, Susskind J. 2003. AIRS/AMSU/HSB in the Aqua mission: Design, science objectives, data products, and processing system. IEEE Trans. Geosci. Remote Sensing 41: 253264.
  • Bormann N, Bauer P. 2010. Estimates of spatial and interchannel observation-error characteristics for current sounder radiances for numerical weather prediction. I: Methods and application to ATOVS data. Q. J. R. Meteorol. Soc. 136.Submitted. (Paper I.).
  • Bormann N, Kobayashi S, Matricardi M, McNally A, Krzeminski B, Thépaut J-N, Bauer P. 2008. ‘Recent developments in the use of ATOVS data at ECMWF’. In Proceedings of the 16th International TOVS Study Conference, Angra dos Reis, Brazil. CIMSS, Univ. Wisonsin: Madison, USA.
  • Bormann N, Salmond D, Matricardi M, Geer A, Hamrud M. 2009. ‘The RTTOV-9 upgrade for clear-sky radiance assimilation in the IFS’, Technical Memorandum 586, 26pp. ECMWF: Reading, UK. (Available at http://www.ecmwf.int/publications/library/do/references/ list/14.).
  • Chalon G, Cayla F, Diebel D. 2001. ‘IASI: An advanced sounder for operational meteorology’. In Proc. 52nd Congress of IAF, Toulouse France, 1–5 Oct 2001. (Available at http://smsc.cnes.fr/IASI/A_publications.htm.).
  • Chapnik B. 2009. ‘On-line observation covariance matrix tuning based on optimality diagnostic’. In Proceedings of the ECMWF Workshop on Diagnostics of Data Assimilation System Performance. ECMWF: Reading, UK. In press.
  • Collard A. 2007. Selection of IASI channels for use in numerical weather prediction. Q. J. R. Meteorol. Soc. 133: 19771991.
  • Collard A, McNally A. 2009. The assimilation of Infrared Atmospheric Sounding Interferometer radiances at ECMWF. Q. J. R. Meteorol. Soc. 135: 10441058.
  • Dee D. 2004. ‘Variational bias correction of radiance data in the ECMWF system’. In ECMWF Workshop on Assimilation of High Spectral Resolution Sounders in NWP. ECMWF: Reading, UK; pp 97112.
  • 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: 33853396.
  • Desroziers G, Berre L, Chapnik B. 2009. ‘Objective validation of data assimilation systems: Diagnosing sub-optimality’. In Proceedings of the ECMWF Workshop on Diagnostics of Data Assimilation System Performance. ECMWF: Reading, UK. In press.
  • Garand L, Heilliette S, Buehner M. 2007. Interchannel error correlation associated with AIRS radiance observations: Inference and impact in data assimilation. J. Appl. Meteorol. 46: 714725.
  • 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: 111136.
  • Liu Z-Q, Rabier F. 2003. The potential of high-density observations for numerical weather prediction: A study with simulated observations. Q. J. R. Meteorol. Soc. 129: 30133035.
  • McNally A, Watts P. 2003. A cloud detection algorithm for high-spectral-resolution infrared sounders. Q. J. R. Meteorol. Soc. 129: 34113423.
  • McNally A, Watts P, Smith J, Engelen R, Kelly G, Thépaut J-N, Matricardi M. 2006. The assimilation of AIRS radiance data at ECMWF. Q. J. R. Meteorol. Soc. 132: 935957.
  • Rutherford ID. 1972. Data assimilation by statistical interpolation of forecast error fields. J. Atmos. Sci. 29: 809815.
  • Saunders R, Matricardi M, Brunel P. 1999. An improved fast radiative transfer model for assimilation of satellite radiance observations. Q. J. R. Meteorol. Soc. 125: 14071426.