360
FLORENCE RABIER
Desroziers, G. and S. Ivanov. 2001, Diagnosis and adaptive tuning of information error
parameters in a variational assimilation. Quart. J. Roy. Meteor. Soc., 127, 1433-1452.
Doerenbecher A. and Bergot T., 2001: Sensitivity to observations applied to FASTEX cases.
Non-linear Processes in Geophysics, 8(6), 467-481.
Fourrié, N., A. Doerenbecher, T. Bergot and A. Joly, 2002: Adjoint sensitivity of the forecast
to TOVS observations. Quart. J. Roy. Meteor. Soc., 128, 2759-2777
Fourrié, N. and F. Rabier, 2004: Cloud characteristics and channel selection for IASI
radiances in meteorologically sensitive areas. Quart. J. Roy. Meteor. Soc., 130, 18391856.
Girard. D., 1987: A fast Monte Carlo cross-validation procedure for large leastsquares
problems with noisy data. Technical Report 687-M,IMAG, Grenoble, France.
Järvinen, H., E. Andersson and F. Bouttier, 1999: Variational assimilation of time sequences
of surface observations with serially correlated errors. Tellus, 51A, 469-488.
Joiner, J. and A. M. da Silva, 1998: Efficient methods to assimilate remotely sensed data
based on information content. Quart. J. Roy. Meteor. Soc., 124, 1669-1694.
Liu,Z. and F. Rabier, 2002: The interaction between model resolution and observation
resolution and density in data assimilation. Quart. J. Roy. Meteor. Soc., 128, 1367-1386
Liu, Z. and F. Rabier, 2003: The potential of high-density observations for numerical weather
prediction: A study with simulated observations. Quart. J. Roy. Meteor. Soc., 129, 30133035.
transform Kalman-filter targeting guidance with ECMWF and NRL total energy singular
vector guidance. Quart. J. Roy. Meteor. Soc., 128, 2527.
Rabier, F., H. Jarvinen, E. Klinker, J-F. Mahfouf and A. Simmons, 2000: The ECMWF
operational implementation of four-dimensional variational assimilation. Part I:
experimental results with simplified physics. Quart. J. Roy. Meteor. Soc., 126, 1143-1170.
Rabier, F., N. Fourrié, D. Chafaï, and P. Prunet, 2002: Channel selection methods for infrared
atmospheric sounding interferometer radiances. Quart. J. Roy. Meteor. Soc., 128, 10111027.
Rabier,F. and Z. Liu, 2003: Variational Data Assimilation: Theory and Overview. ECMWF
Seminar on Recent developments in data assimilation for atmosphere and ocean.
Rodgers, C. D., 1996: Information content and optimisation of high spectral resolution
measurements. Optical Spectroscopic Techniques and Instrumentation for Atmospheric
and Space Research II, SPIE Volume 2830, 136-147.
Rodgers, C. D., 2000: Inverse methods for atmospheres: Theory and practice. World
Scientific Publishers, Singapore.
Simmons, A., 2003: Observations, assimilation and the improvement of global weather
prediction- Some results from operational forecasting and ERA-40. ECMWF Seminar on
Recent developments in data assimilation for atmosphere and ocean.
Talagrand., O., 1999: A posteriori verification of analysis and assimilation algorithms.
Thépaut, J-N., 2003: Satellite data assimilation in Numerical Weather Prediction: an
overview. ECMWF Seminar on Recent developments in data assimilation for atmosphere
and ocean.
THORPEX International Science Plan: Mel Shapiro and Alan Thorpe (THORPEX Web site
http://www.wmo.int)
.
.
Majumdar,S. J, C. H. Bishop, R. Buizza and R. Gelaro, 2002: A comparison of ensembleIn Proceedings of the ECMWF Workshop on Diagnosis of Data Assimilation Systems,
24 November pages 17--28, Reading.
FLORENCE RABIER
Desroziers, G. and S. Ivanov. 2001, Diagnosis and adaptive tuning of information error
parameters in a variational assimilation. Quart. J. Roy. Meteor. Soc., 127, 1433-1452.
Doerenbecher A. and Bergot T., 2001: Sensitivity to observations applied to FASTEX cases.
Non-linear Processes in Geophysics, 8(6), 467-481.
Fourrié, N., A. Doerenbecher, T. Bergot and A. Joly, 2002: Adjoint sensitivity of the forecast
to TOVS observations. Quart. J. Roy. Meteor. Soc., 128, 2759-2777
Fourrié, N. and F. Rabier, 2004: Cloud characteristics and channel selection for IASI
radiances in meteorologically sensitive areas. Quart. J. Roy. Meteor. Soc., 130, 18391856.
Girard. D., 1987: A fast Monte Carlo cross-validation procedure for large leastsquares
problems with noisy data. Technical Report 687-M,IMAG, Grenoble, France.
Järvinen, H., E. Andersson and F. Bouttier, 1999: Variational assimilation of time sequences
of surface observations with serially correlated errors. Tellus, 51A, 469-488.
Joiner, J. and A. M. da Silva, 1998: Efficient methods to assimilate remotely sensed data
based on information content. Quart. J. Roy. Meteor. Soc., 124, 1669-1694.
Liu,Z. and F. Rabier, 2002: The interaction between model resolution and observation
resolution and density in data assimilation. Quart. J. Roy. Meteor. Soc., 128, 1367-1386
Liu, Z. and F. Rabier, 2003: The potential of high-density observations for numerical weather
prediction: A study with simulated observations. Quart. J. Roy. Meteor. Soc., 129, 30133035.
transform Kalman-filter targeting guidance with ECMWF and NRL total energy singular
vector guidance. Quart. J. Roy. Meteor. Soc., 128, 2527.
Rabier, F., H. Jarvinen, E. Klinker, J-F. Mahfouf and A. Simmons, 2000: The ECMWF
operational implementation of four-dimensional variational assimilation. Part I:
experimental results with simplified physics. Quart. J. Roy. Meteor. Soc., 126, 1143-1170.
Rabier, F., N. Fourrié, D. Chafaï, and P. Prunet, 2002: Channel selection methods for infrared
atmospheric sounding interferometer radiances. Quart. J. Roy. Meteor. Soc., 128, 10111027.
Rabier,F. and Z. Liu, 2003: Variational Data Assimilation: Theory and Overview. ECMWF
Seminar on Recent developments in data assimilation for atmosphere and ocean.
Rodgers, C. D., 1996: Information content and optimisation of high spectral resolution
measurements. Optical Spectroscopic Techniques and Instrumentation for Atmospheric
and Space Research II, SPIE Volume 2830, 136-147.
Rodgers, C. D., 2000: Inverse methods for atmospheres: Theory and practice. World
Scientific Publishers, Singapore.
Simmons, A., 2003: Observations, assimilation and the improvement of global weather
prediction- Some results from operational forecasting and ERA-40. ECMWF Seminar on
Recent developments in data assimilation for atmosphere and ocean.
Talagrand., O., 1999: A posteriori verification of analysis and assimilation algorithms.
Thépaut, J-N., 2003: Satellite data assimilation in Numerical Weather Prediction: an
overview. ECMWF Seminar on Recent developments in data assimilation for atmosphere
and ocean.
THORPEX International Science Plan: Mel Shapiro and Alan Thorpe (THORPEX Web site
http://www.wmo.int)
.
.
Majumdar,S. J, C. H. Bishop, R. Buizza and R. Gelaro, 2002: A comparison of ensembleIn Proceedings of the ECMWF Workshop on Diagnosis of Data Assimilation Systems,
24 November pages 17--28, Reading.