, T skin , T , H 2 O 1534 1028.25 91.67 O 3 , T skin , T , H 2 O 1535 1028.50 68.33 O 3 , T skin , T , H 2 O 1537 1029.00 78.33 O 3 , T skin , T , H 2 O 1538 1029.25 96.67 O 3 , T skin , T , H 2 O 1539 1029, vol.50

L. References-berre, Estimation of synoptic and mesoscale forecast error covariances in a limited-area model, Mon. Weather Rev, vol.128, pp.644-667, 2000.

E. E. Borbas, G. Hulley, M. Feltz, R. Knuteson, and S. Hook, The Combined ASTER MODIS Emissivity over Land (CAMEL) Part 1: Methodology and High Spectral Resolution Application, Remote Sensing, vol.10, 2018.

N. Bormann, M. Bonavita, R. Dragani, R. Eresmaa, M. Matricardi et al., Enhancing the impact of IASI observations through an updated observation-error covariance matrix, Q. J. Roy. Meteor. Soc, vol.142, pp.1767-1780, 2016.

N. Boukachaba, Apport des observations satellitaires hyperspectrales infrarouges IASI au-dessus des continents dans le modèle météorologique à échelle convective AROME, INP Toulouse, 2017.

F. Chevallier, S. Di-michele, and A. P. Mcnally, Diverse profile datasets from the ECMWF 91-level short-range forecasts, European Centre for Medium-Range Weather Forecasts, 2006.

A. Collard, On the choice of observation errors for the assimilation of AIRS brightness temperatures: A theoretical study, ECMWF Technical Memoranda, 2004.

A. Collard, Selection of IASI channels for use in numerical weather prediction, Q. J. Roy. Meteor. Soc, vol.133, 1977.

A. Collard and A. Mcnally, The assimilation of infrared atmospheric sounding interferometer radiances at ECMWF, Quarterly Journal of the Royal Meteorological Society: A journal of the atmospheric sciences, Appl. Meteorol. Phys. Oceanogr, vol.135, pp.1044-1058, 2009.

O. Coopmann, V. Guidard, N. Fourrié, and M. Plu, Assimilation of IASI ozone-sensitive channels in preparation for an enhanced coupling between Numerical Weather Prediction and Chemistry Transport Models, J. Geophys. Res.-Atmos, vol.123, pp.12452-12473, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01919319

P. Courtier, C. Freydier, J. Geleyn, F. Rabier, M. Rochas et al., A strategy for operational implementation of 4D-Var, using an incremental approach, ECMWF Seminar on Numerical Methods in Atmospheric Models, 9-13 September 1991, vol.II, pp.1367-1387, 1991.

G. Desroziers, L. Berre, B. Chapnik, and P. Poli, Diagnosis of observation, background and analysis-error statistics in observation space, Q. J. Roy. Meteorol. Soc, vol.131, pp.3385-3396, 2005.

A. Dethof and E. Holm, Ozone assimilation in the ERA-40 reanalysis project, Q. J. Roy. Meteor. Soc, vol.130, pp.2851-2872, 2004.

R. Dragani, A comparative analysis of UV nadir-backscatter and infrared limb-emission ozone data assimilation, Atmos. Chem. Phys, vol.16, pp.8539-8557, 2016.

R. Dragani and A. Mcnally, Operational assimilation of ozonesensitive infrared radiances at ECMWF, Q. J. Roy. Meteor. Soc, vol.139, p.20, 2013.

N. Fourrié, J. Thépaut, A. Gambacorta, and C. D. Barnet, Methodology and information content of the NOAA NESDIS operational channel selection for the Cross-Track Infrared Sounder (CrIS), Q. J. Roy. Meteorol. Soc, vol.129, pp.3207-3216, 2003.

V. Guidard, N. Fourrié, P. Brousseau, and F. Rabier, Impact of IASI assimilation at global and convective scales and challenges for the assimilation of cloudy scenes, Q. J. Roy. Meteor. Soc, vol.137, 1975.

S. Heilliette and L. Garand, Impact of accounting for interchannel error covariances at the Canadian Meteorological Center, Proc. 2015 EUMETSAT Meteorological Satellite Conf, p. 8, EUMETSAT, 2015.

O. Coopmann, Hyperspectral Earth observation from IASI: Five years of accomplishments, vol.93, pp.347-370, 2012.

A. Hollingsworth and P. Lönnberg, The statistical structure of short-range forecast errors as determined from radiosonde data. Part I: The wind field, Tellus A, vol.38, pp.111-136, 1986.

E. V. Hólm and T. Kral, Flow-dependent, geographically varying background error covariances for 1D-VAR applications in MTG-IRS L2 Processing, ECMWF Technical Memoranda, vol.680, p.15, 2012.

K. Ide, P. Courtier, M. Ghil, A. C. Lorenc, A. Inness et al., Data assimilation of satelliteretrieved ozone, carbon monoxide and nitrogen dioxide with ECMWF's Composition-IFS, Sequential and Variational (gtSpecial IssueltData Assimilation in Meteology and Oceanography: Theory and Practice), vol.75, pp.5275-5303, 1997.

Z. Liu, F. Rabier, and A. C. Lorenc, The potential of high-density observations for numerical weather prediction: A study with simulated observations, Quarterly Journal of the Royal Meteorological Society: A journal of the atmospheric sciences, Appl. Meteorol. Phys. Oceanogr, vol.129, pp.1177-1194, 1986.

M. Matricardi, The generation of RTTOV regression coefficients for IASI and AIRS using a new profile training set and a new line-by-line database, European Centre for Medium-Range Weather Forecasts, vol.564, 2008.

S. Migliorini, Optimal ensemble-based selection of channels from advanced sounders in the presence of cloud, NWPSAF: Current Software Packages, vol.143, p.20, 2015.

D. F. Parrish and J. C. Derber, The National Meteorological Center's spectral statistical-interpolation analysis system, Mon. Weather Rev, vol.120, pp.1747-1763, 1992.

F. Rabier, H. Järvinen, E. Klinker, J. Mahfouf, and A. Simmons, The ECMWF operational implementation of fourdimensional variational assimilation. I: Experimental results with simplified physics, Q. J. Roy. Meteorol. Soc, vol.126, pp.1143-1170, 2000.

F. Rabier, N. Fourrié, D. Chafäi, and P. Prunet, Channel selection methods for infrared atmospheric sounding interferometer radiances, Q. J. Roy. Meteorol. Soc, vol.128, pp.1011-1027, 2002.
URL : https://hal.archives-ouvertes.fr/hal-00180780

C. D. Rodgers, Information content and optimization of highspectral-resolution measurements, in: Optical spectroscopic techniques and instrumentation for atmospheric and space research II, International Society for Optics and Photonics, vol.2830, pp.136-147, 1996.

C. D. Rodgers, Inverse methods for atmospheric sounding: theory and practice, vol.2, 2000.

R. Saunders, J. Hocking, D. Rundle, P. Rayer, S. Havemann et al., RTTOV v12 science and validation report, vol.78, 2017.

R. Saunders, J. Hocking, E. Turner, P. Rayer, D. Rundle et al., An update on the RTTOV fast radiative transfer model (currently at version 12), Geosci. Model Dev, vol.11, pp.2717-2737, 2018.

R. W. Saunders and K. T. Kriebel, An improved method for detecting clear sky and cloudy radiances from AVHRR data, Int J. Remote Sens, vol.9, pp.123-150, 1988.

N. Semane, V. Peuch, S. Pradier, G. Desroziers, L. El-amraoui et al., On the extraction of wind information from the assimilation of ozone profiles in Météo-France 4-D-Var operational NWP suite, Atmos, Chem. Phys, vol.9, pp.4855-4867, 2009.

L. Stewart, S. L. Dance, N. K. Nichols, J. Eyre, C. et al., Estimating interchannel observation-error correlations for IASI radiance data in the Met Office system, Q. J. Roy. Meteor. Soc, vol.140, pp.1236-1244, 2014.

L. M. Stewart, S. Dance, N. , and N. , Correlated observation errors in data assimilation, Int. J. Numer. Meth. Fl, vol.56, pp.1521-1527, 2008.

J. M. Tabeart, S. L. Dance, A. S. Lawless, N. K. Nichols, and J. A. Waller, Improving the condition number of estimated covariance matrices, Tellus A, vol.72, 2020.

L. Ventress and A. Dudhia, Improving the selection of IASI channels for use in numerical weather prediction, Q. J. Roy. Meteor. Soc, vol.140, pp.2111-2118, 2014.

A. Vincensini, Contribution de IASI à l'estimation des paramètres des surfaces continentales pour la prévision numérique du temps, 2013.

J. C. Walker, A. Dudhia, and E. Carboni, An effective method for the detection of trace species demonstrated using the MetOp Infrared Atmospheric Sounding Interferometer, Atmos. Meas. Tech, vol.4, pp.1567-1580, 2011.

P. Weston, W. Bell, and J. Eyre, Accounting for correlated error in the assimilation of high-resolution sounder data, Q. J. Roy. Meteor. Soc, vol.140, pp.2420-2429, 2014.