A. Bodas-salcedo, COSP: Satellite simulation software for model assessment, Bull. Am. Meteorol. Soc, vol.92, pp.1023-1043, 2011.
URL : https://hal.archives-ouvertes.fr/hal-01117353

A. Bodas-salcedo, K. D. Williams, M. A. Ringer, I. Beau, J. N. Cole et al., Origins of the solar radiation biases over the Southern Ocean in CFMIP2 models*, J. Clim, vol.27, pp.41-56, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01087282

C. F. Bohren and D. R. Huffman, Absorption and Scattering of Light by Small Particles, 1983.

S. Bony, M. Webb, B. Stevens, C. Bretherton, S. Klein et al., The Cloud Feedback Model Intercomparison Project: Summary of activities and recommendations for advancing assessments of cloud-climate feedbacks, 2009.

, Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, 2013.

A. Bucholtz, Rayleigh-scattering calculations for the terrestrial atmosphere, Appl. Opt, vol.34, pp.2765-2773, 1995.

G. Cesana and H. Chepfer, Evaluation of the cloud water phase in a climate model using CALIPSO-GOCCP, J. Geophys. Res. Atmos, vol.118, pp.7922-7937, 2013.

H. Chepfer, M. Chiriaco, R. Vautard, and J. Spinhirne, Evaluation of MM5 optically thin clouds over Europe in fall using ICESat lidar spaceborne observations, Mon. Weather Rev, vol.135, pp.2737-2753, 2007.
URL : https://hal.archives-ouvertes.fr/hal-00431479

H. Chepfer, S. Bony, D. Winker, M. Chiriaco, J. Dufresne et al., Use of CALIPSO lidar observations to evaluate the cloudiness simulated by a climate model, Geophys. Res. Lett, vol.35, p.15704, 2008.
URL : https://hal.archives-ouvertes.fr/hal-00423478

H. Chepfer, S. Bony, D. Winker, G. Cesana, J. L. Dufresne et al., The GCM-Oriented CALIPSO Cloud Product (CALIPSO-GOCCP), J. Geophys. Res, vol.115, pp.0-16, 2010.

H. Chepfer, G. Cesana, D. Winker, B. Getzewich, and M. Vaughan, Comparison of two different cloud climatologies derived from CALIOP Level 1 observations: the CALIPSO-ST and the CALIPSO-GOCCP, J. Atmos. Oceanic Technol, 2013.

H. Chepfer, V. Noel, D. Winker, and M. Chiriaco, Where and when will we observe cloud changes due to climate warning?, Geophys. Res. Lett, vol.41, pp.8387-8395, 2014.

M. Chiriaco, R. Vautard, H. Chepfer, M. Haeffelin, J. Dudhia et al., The ability of MM5 to simulate ice clouds: Systematic comparison between simulated and measured fluxes and lidar/radar profiles at the SIRTA Atmospheric Observatory, Mon. Weather Rev, vol.134, pp.897-918, 2006.
URL : https://hal.archives-ouvertes.fr/hal-00159781

R. T. Collis and P. B. Russel, Laser Monitoring of the Atmosphere, p.108, 1976.

D. P. Donovan, Ice-cloud effective particle size parameterization based on combined lidar, radar reflectivity, and mean Doppler velocity measurements, J. Geophys. Res, vol.108, pp.2156-220, 2003.

D. P. Donovan, R. H. Voors, G. J. Van-zadelhoff, and J. R. Acaretta, ECSIM model and algorithms document external project, 2008.

D. P. Donovan, H. Klein, J. S. Baltink, S. R. Henzing, A. P. De-roode et al., A depolarisation lidar-based method for the determination of liquid-cloud microphysical properties, Atmos. Meas. Tech, vol.8, pp.237-266, 2015.

Y. Durand, A. Hélière, J. Bézy, and R. Meynart, The ESA EarthCARE mission: Results of the ATLID instrument pre-developments, Proc. SPIE, vol.6750, p.675015, 2007.

E. W. Eloranta, Calculation of doubly scattered lidar returns, 1972.

P. N. Francis, A. Jones, R. W. Saunders, K. P. Shine, A. Slingo et al., An observational and theoretical study of theradiative properties of cirrus: Some results from ICE'89, Q, J. R. Meteorol. Soc, vol.120, pp.809-848, 1994.

Y. Hagihara, H. Okamoto, and R. Yoshida, Development of a combined CloudSat-CALIPSO cloud mask to show global cloud distribution, J. Geophys. Res, vol.115, pp.0-33, 2010.

A. Hélière, R. Gelsthorpe, L. L. Hors, and Y. Toulemont, ATLID, the atmospheric lidar on board the EarthCARE satellite, International conference on space optics, 2012.

M. Hess, R. B. Koelemeijer, and P. Stammes, Scattering matrices of imperfect hexagonal ice crystals, J. Quant. Spectros. Radiat. Transfer, vol.60, pp.301-308, 1998.

M. Hess, P. Koepke, and I. Schult, Optical properties of aerosols and clouds: The software package OPAC, Bull. Am. Meteorol. Soc, vol.79, pp.831-844, 1998.

R. Hogan, Fast, approximate calculation of multiply scattered lidar returns, Appl. Opt, vol.45, pp.5984-5992, 2006.

F. J. Hourdin and .. , LMDZ5B: The atmospheric component of the IPSL climate model with revisited parameterizations for clouds and convection, Clim. Dyn, vol.40, pp.2193-2222, 2013.
URL : https://hal.archives-ouvertes.fr/hal-01098866

Y. Hu, Identification of cloud phase from PICASSO-CENA lidar depolarization: A multiple scattering sensitivity study, J. Quant. Spectrosc. Radiat. Transfer, vol.70, pp.569-579, 2001.

Y. Hu and K. Stamnes, An accurate parameterization of the radiative properties of water clouds suitable for use in climate models, J. Clim, vol.6, issue.4, pp.728-742, 1993.

W. H. Hunt, D. M. Winker, M. A. Vaughan, K. A. Powell, P. L. Lucker et al., CALIPSO lidar description and performance assessment, J. Atmos. Oceanic Technol, vol.26, pp.1214-1228, 2009.

A. J. Illingworth, THE EARTHCARE SATELLITE: The next step forward in global measurements of clouds, aerosols, precipitation and radiation, Bull. Am. Meteorol. Soc, vol.96, pp.1311-1332, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01097699

S. Kato, Improvements of top-of-atmosphere and surface irradiance computations with CALIPSO-, CloudSat-, and MODIS-derived cloud and aerosol properties, J. Geophys. Res, vol.116, p.19209, 2011.

J. E. Kay, Exposing global cloud biases in the Community Atmosphere Model (CAM) using satellite observations and their corresponding instrument simulators, J. Clim, vol.25, pp.5190-5207, 2012.

D. Konsta, H. Chepfer, and J. L. Dufresne, A process oriented description of tropical oceanic clouds for climate model evaluation, based on a statistical analysis of daytime A-train high spatial resolution observations, Clim. Dyn, 2012.

T. S. L'ecuyer, N. Wood, T. Haladay, and G. L. Stephens, The impact of clouds on atmospheric heating based on the R04 CloudSat fluxes and heating rate detest, J. Geophys. Res, vol.113, pp.0-15, 2008.

R. T. Marchand, J. Haynes, G. G. Mace, T. Ackerman, and G. Stephens, A comparison of simulated cloud radar output from the multiscale modeling framework global climate model with CloudSat cloud radar observations, J. Geophys. Res, vol.114, pp.0-20, 2009.

M. J. Mcgill, M. A. Vaughan, C. R. Trepte, W. D. Hart, D. L. Hlavka et al., Airborne validation of spatial properties measured by the CALIPSO lidar, Journal of Geophysical Research, vol.112, p.20201, 2007.

C. C. Nam and J. Quaas, Evaluation of clouds and precipitation in the ECHAM5 general circulation model using CALIPSO and CloudSat satellite data, J. Clim, vol.25, pp.4975-4992, 2012.

C. Nam, J. Quaas, R. Neggers, C. Siegenthaler-le-drian, and F. Isotta, Evaluation of boundary layer cloud parameterizations in the ECHAM5 general circulation model using CALIPSO and CloudSat satellite data, J. Adv. Model. Earth Syst, vol.6, pp.300-314, 2014.

V. Noel, H. Chepfer, G. Ledanois, A. Delaval, and P. Flamant, Classification of particle shape ratios in cirrus clouds based on the lidar depolarization ratio, Appl. Opt, vol.41, pp.4245-4257, 2002.

V. Noel, H. Chepfer, C. Hoareau, M. Reverdy, and G. Cesana, Effect of solar activity and geomagnetic field on noise in CALIOP profiles above South Atlantic Anomaly, Atmos. Meas. Tech, 2014.

A. Petzold, Inter-comparison of aerosol retrievals and observational requirements for multi-wavelength HSRL systems, Final report, ESA/ESTEC contract 22169/NL/CT, Tech. Rep. ESA-ESTEC, 2011.

S. Placidi, F. Faure, D. P. Donovan, B. Mayer, R. Buras et al., Comparison of two distinct EarthCARE multi spectral imager simulators, EUMETSAT Meteorological Satellite Conference, online, pp.20-24, 2010.

C. Platt, Lidar and Radiometric observations of cirrus clouds, J. Atmos. Sci, vol.30, pp.1191-1204, 1973.

C. M. Platt, Remote sounding of High Clouds. III: Monte Carlo calculations of multiple-scattered lidar returns, J. Atmos. Sci, vol.38, pp.156-167, 1981.

D. A. Randall, Climate models and their evaluation, in Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, 2007.

J. D. Spinhirne, S. P. Palm, W. D. Hart, D. L. Hlavka, and E. J. Welton, Cloud and aerosol measurements from GLAS: Overview and initial results, Geophys. Res. Lett, vol.32, pp.22-25, 2005.

G. L. Stephens, The CloudSat mission and the A-Train: A new dimension of space-based observations of clouds and precipitation, Bull. Am. Meteorol. Soc, vol.83, pp.1771-1790, 2002.

C. J. Stubenrauch, Assessment of global cloud datasets from satellites: Project and database initiated by the GEWEX radiation panel, Bull. Am. Meteorol. Soc, 2013.
URL : https://hal.archives-ouvertes.fr/hal-01091218

M. A. Vaughan, K. A. Powell, R. E. Kuehn, S. A. Young, D. M. Winker et al., Fully automated detection of cloud and aerosol layers in the CALIPSO lidar measurements, J. Atmos. Oceanic Technol, vol.26, pp.2034-2050, 2009.

R. Voors, D. P. Donovan, J. Acarreta, M. Eisinger, R. Franco et al., ECSIM: The simulator framework for EarthCARE, Proc. SPIE 6744, Sensors, Systems, and Next-Generation Satellites XI, vol.67441, 2007.

D. M. Winker, The CALIPSO mission: A global 3D view of aerosols and clouds, Bull. Am. Meteorol. Soc, vol.91, pp.1211-1229, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00525010

D. Winker, R. H. Couch, and M. P. Mccormick, An overview of LITE: NASA's lidar in-space technology experiment, Proc. IEEE, vol.84, pp.164-180, 1996.

D. Winker, W. Hunt, and M. Mcgill, Initial performance assessment of CALIOP, Journal of Geophysical Research, vol.34, p.19803, 2007.