Publications

Here is a list of publications from members of the EECLAT projet using A-Train observations (CALIPSO, CloudSAT, MODIS, PARASOL, CERES, etc)

2023 (8)

  1. Bonazzola, M., Chepfer, H., Ma, P.-L., Quaas, J., Winker, D. M., Feofilov, A., and Schutgens, N.: Incorporation of aerosol into the COSPv2 satellite lidar simulator for climate model evaluation, Geosci. Model Dev., 16, 1359–1377, Incorporation of aerosol into the COSPv2 satellite lidar simulator for climate model evaluation, 2023
  2. Cornut, F.; El Amraoui, L.; Cuesta, J.; Blanc, J. Added Value of Aerosol Observations of a Future AOS High Spectral Resolution Lidar with Respect to Classic Backscatter Spaceborne Lidar Measurements. Remote Sens. 2023, 15, 506.
  3. Miffre, A., Cholleton, D., Noël, C., and Rairoux, P.: Investigating the dependence of mineral dust depolarization on complex refractive index and size with a laboratory polarimeter at 180.0° lidar backscattering angle, Atmos. Meas. Tech., 16, 403–417, https://doi.org/10.5194/amt-16-403-2023, (2023).
  4. Peyrin, F.; Fréville, P.; Montoux, N.; Baray, J.-L. Original and Low-Cost ADS-B System to Fulfill Air Traffic Safety Obligations during High Power LIDAR Operation. Sensors 2023, 23, 2899. https://doi.org/10.3390/s23062899
  5. Ratynski, M., Khaykin, S., Hauchecorne, A., Wing, R., Cammas, J.-P., Hello, Y., and Keckhut, P.: Validation of Aeolus wind profiles using ground-based lidar and radiosonde observations at Réunion island and the Observatoire de Haute-Provence, Atmos. Meas. Tech., 16, 997–1016, https://doi.org/10.5194/amt-16-997-2023, 2023.
  6. Roussel, Wiener, Genthon, Vignon, Basile, Agosta, Berne, Duran-Alarcon, Dufresne, Claud: Assessing the simulation of snowfall at Dumont d’Urville, Antarctica, during the YOPP-SH special observing campaign. QJRMS, sous presse
  7. Sellitto, P., Salerno, G., Corradini, S., Xueref-Remy, I., Riandet, A., Bellon, C., Khaykin, S., Ancellet, G., Lolli, S., Welton, E. J., Boselli, A., Sannino, A., Cuesta, J., Guermazi, H., Eremenko, M., Merucci, L., Stelitano, D., Guerrieri, L., and Legras, B.: Volcanic Emissions, Plume Dispersion, and Downwind Radiative Impacts Following Mount Etna Series of Eruptions of February 21–26, 2021, Journal of Geophysical Research: Atmospheres, 128, e2021JD035974, https://doi.org/10.1029/2021JD035974, 2023
  8. Szczap, F.; Alkasem, A.; Shcherbakov, V.; Schmisser, R.; Blanc, J.; Mioche, G.; Gour, Y.; Cornet, C.; Banson, S.; Bray, E. Computation of the Attenuated Backscattering Coefficient by the Backscattering Lidar Signal Simulator (BLISS) in the Framework of the CALIOP/CALIPSO Observations. Atmosphere 2023, 14, 249. https://doi.org/10.3390/atmos14020249

2022 (28)

  1. Aerenson, T., Marchand, R., Chepfer, H., & Medeiros, B. (2022). When will MISR detect rising high clouds? Journal of Geophysical Research: Atmospheres, 127, e2021JD035865. https://doi.org/10.1029/2021JD035865
  2. Arouf, A., Chepfer, H., Vaillant de Guélis, T., Chiriaco, M., Shupe, M. D., Guzman, R., Feofilov, A., Raberanto, P., L’Ecuyer, T. S., Kato, S., and Gallagher, M. R.: The surface longwave cloud radiative effect derived from space lidar observations, Atmos. Meas. Tech., 15, 3893–3923, https://doi.org/10.5194/amt-15-3893-2022, 2022
  3. Belan B., Ancellet G., Andreeva I., Antokhin P., Arshinova V., Arshinov M., Balin Y., Barsuk V., Belan S., Chernov D., Davydov D. et al. Integrated airborne investigation of the air composition over the Russian sector of the Arctic .Atmospheric Measurement Techniques, 2022, 15 (13), pp.3941-3967. ⟨10.5194/amt-15-3941-2022⟩

  4. Cesana, G., T. Khadir, H. Chepfer, and M. Chiriaco, 2022: Southern Ocean solar reflection biases in CMIP6 models linked to cloud phase and vertical structure representations. Geophys. Res. Lett., 49, no. 22, e2022GL099777, doi:10.1029/2022GL099777

  5. Chandra, S., Kottayil, A., Legras, B., Bucci, S., Mohanakumar, K., and Satheesan, K.: Tracing the convective sources of air at tropical tropopause during the active and break phases of Indian monsoon, in press, 2022

  6. Chouza et al., The impact of aerosol fluorescence on long-term water vapor monitoring by Raman lidar and evaluation of a potential correction method, Atmos. Meas. Tech., 15, 4241–4256, 2022.

  7. Feofilov, A. G., Chepfer, H., Noël, V., Guzman, R., Gindre, C., Ma, P.-L., and Chiriaco, M.: Comparison of scattering ratio profiles retrieved from ALADIN/Aeolus and CALIOP/CALIPSO observations and preliminary estimates of cloud fraction profiles, Atmos. Meas. Tech., 15, 1055–1074, 2022
  8. Gallagher, M. R., Shupe, M. D., Chepfer, H., and L’Ecuyer, T.: Relating snowfall observations to Greenland ice sheet mass changes: an atmospheric circulation perspective, The Cryosphere, 16, 435–450, https://doi.org/10.5194/tc-16-435-2022, 2022
  9. Höjgard-Olsen, E., Chepfer, H., & Brogniez, H. (2022). Satellite Observed Sensitivity of Tropical Clouds and Moisture to Sea Surface Temperature on Various Time and Space Scales. Part I: Focus on High Level Cloud Situations over Ocean. Journal of Geophysical Research: Atmospheres, 127, e2021JD035438. https://doi.org/10.1029/2021JD035438
  10. Höjgård-Olsen, E., Chepfer, H., & Brogniez, H. (2022). Satellite observed sensitivity of tropical clouds and moisture to sea surface temperature on various time and space scales: 2. Focus on marine low level clouds. Journal of Geophysical Research: Atmospheres, 127, e2021JD035402. https://doi.org/10.1029/2021JD035402
  11. Jourdan, O., Rôle de la glace atmosphérique sur le cycle de vie des nuages et leurs propriétés microphysiques et optiques : contribution des observation in situ, Thèse d’habilitation à diriger les recherches, Université Clermont Auvergne, 328 pages, Novembre 2022
  12. Khaykin, S., Podglajen, A., Ploeger, F. et al. Global perturbation of stratospheric water and aerosol burden by Hunga eruption. Commun Earth Environ 3, 316 (2022). https://doi.org/10.1038/s43247-022-00652-x
  13. Khaykin, S.M., de Laat, A.T.J., Godin-Beekmann, S. et al. Unexpected self-lofting and dynamical confinement of volcanic plumes: the Raikoke 2019 case. Sci Rep 12, 22409 (2022). https://doi.org/10.1038/s41598-022-27021-0
  14. Khaykin, S. M., Moyer, E., Krämer, M., Clouser, B., Bucci, S., Legras, B., Lykov, A., Afchine, A., Cairo, F., Formanyuk, I., Mitev, V., Matthey, R., Rolf, C., Singer, C. E., Spelten, N., Volkov, V., Yushkov, V., and Stroh, F.: Persistence of moist plumes from overshooting convection in the Asian monsoon anticyclone, Atmos. Chem. Phys., 22, 3169–3189, https://doi.org/10.5194/acp-22-3169-2022, 2022
  15. Kloss et al., Aerosol Characterization of the Stratospheric Plume From the Volcanic Eruption at Hunga Tonga 15 January 2022, Geophysical Research Letters, 49, e2022GL099394. https://doi.org/10.1029/2022GL099394, 2022.
  16. Konsta, D., Dufresne, J.-L., Chepfer, H., Vial, J., Koshiro, T., Kawai, H., et al. (2022). Low-level marine tropical clouds in six CMIP6 models are too few, too bright but also too compact and too homogeneous. Geophysical Research Letters, 49, e2021GL097593. https://doi.org/10.1029/2021GL09759
  17. Legras, B., Duchamp, C., Sellitto, P., Podglajen, A., Carboni, E., Siddans, R., Grooß, J.-U., Khaykin, S., and Ploeger, F.: The evolution and dynamics of the Hunga Tonga–Hunga Ha’apai sulfate aerosol plume in the stratosphere, Atmos. Chem. Phys., 22, 14957–14970, 2022
  18. Ma, P.-L., Harrop, B. E., Larson, V. E., Neale, R., Gettelman, A., Morrison, H., Wang, H., Zhang, K., Klein, S. A., Zelinka, M. D., Zhang, Y., Qian, Y., Yoon, J.-H., Jones, C. R., Huang, M., Tai, S.-L., Singh, B., Bogenschutz, P. A., Zheng, X., Lin, W., Quaas, J., Chepfer, H., Brunke, M. A., Zeng, X., Mülmenstädt, J., Hagos, S., Zhang, Z., Song, H., Liu, X., Wan, H., Wang, J., Tang, Q., Caldwell, P. M., Fan, J., Berg, L. K., Fast, J. D., Taylor, M. A., Golaz, J.-C., Xie, S., Rasch, P. J., and Leung, L. R.: Better calibration of cloud parameterizations and subgrid effects increases the fidelity of E3SM Atmosphere Model version 1, Geosci. Model Dev.., https://doi.org/10.5194/gmd-2021-298, 2022
  19. Mech, M., A. Ehrlich, A. Herber, C. Lüpkes, M. Wendish, S. Crewell, S. Becker, Y. Boose, D. Chechin, R. Dupuy, C. Gourbeyre, J. Hartmann, E. Jäkel, O. Jourdan, L-L. Kliesch, B. S. Kulla, G. Mioche, M. Moser, N. Risse, M. Schäfer, M. Klingebiel, J. Stapf, and C. Voigt, MOSAiC-ACA and AFLUX : Arctic airborne campaigns characterizing the exit area of MOSAiC, Earth Syst. Sci. Data, 2022.
  20. J.‐B. Renard, G. Berthet, A.‐C. Levasseur‐Regourd, S. Beresnev, A. Miffre, P. Rairoux, D. Vignelles, F. Jégou, Origins and Spatial Distribution of Non‐Pure Sulfate Particles (NSPs) in the Stratosphere Detected by the Balloon‐Borne Light Optical Aerosols Counter (LOAC), Atmosphere 11, 1031, 2020; doi:10.3390/atmos11101031.
  21. Sellegri, K., et al., inc. O. Jourdan, G. Mioche, C. Bazantay, Sea2Cloud : from biogenic emission fluxes to cloud properties in the south western Pacific, Bull. Am. Meteorol. Soc., accepté pour publication
  22. Sellitto, P., Belhadji, R., Kloss, C., and Legras, B.: Radiative impacts of the Australian bushfires 2019-2020 – Part I: Large-scale radiative forcing, 2022, soumis
  23. Sellitto, P., Podglajen, A., Belhadji, R. et al. The unexpected radiative impact of the Hunga Tonga eruption of 15th January 2022. Commun Earth Environ 3, 288 (2022). https://doi.org/10.1038/s43247-022-00618-z
  24. Shcherbakov, V., Szczap, F., Alkasem, A., Mioche, G., and Cornet, C.: Empirical model of multiple scattering effect on single-wavelength lidar data of aerosols and clouds, Atmos. Meas. Tech., https://doi.org/10.5194/amt-2021-312, accepted for publication, 2022.
  25. Shupe, M. D., Rex, M., Blomquist, B., Persson, P. O. G., Schmale, J., Uttal, T., Althausen, D., Angot, H., Archer, S., Bariteau, L., Beck, I., Bilberry, J., Bucci, S., Buck, C., Boyer, M., Brasseur, Z., Brooks, I. M., Calmer, R., Cassano, J., Castro, V., Chu, D., Costa, D., Cox, C. J., Creamean, J., Crewell, S., Dahlke, S., Damm, E., de Boer, G., Deckelmann, H., Dethloff, K., Dütsch, M., Ebell, K., Ehrlich, A., Ellis, J., Engelmann, R., Fong, A. A., Frey, M. M., Gallagher, M. R., Ganzeveld, L., Gradinger, R., Graeser, J., Greenamyer, V., Griesche, H., Griffiths, S., Hamilton, J., Heinemann, G., Helmig, D., Herber, A., Heuzé, C., Hofer, J., Houchens, T., Howard, D., Inoue, J., Jacobi, H.-W., Jaiser, R., Jokinen, T., Jourdan, O., Jozef, G., King, W., Kirchgaessner, A., Klingebiel, M., Krassovski, M., Krumpen, T., Lampert, A., Landing, W., Laurila, T., Lawrence, D., Lonardi, M., Loose, B., Lüpkes, C., Maahn, M., Macke, A., Maslowski, W., Marsay, C., Maturilli, M., Mech, M., Morris, S., Moser, M., Nicolaus, M., Ortega, P., Osborn, J., Pätzold, F., Perovich, D. K., Petäjä, T., Pilz, C., Pirazzini, R., Posman, K., Powers, H., Pratt, K. A., Preußer, A., Quéléver, L., Radenz, M., Rabe, B., Rinke, A., Sachs, T., Schulz, A., Siebert, H., Silva, T., Solomon, A., et al.: Overview of the MOSAiC expedition—Atmosphere, Elementa: Science of the Anthropocene, 10, 00060, https://doi.org/10.1525/elementa.2021.00060, 2022.
  26. Tidiga et al., Variability of the Aerosol Content in the Tropical Lower Stratosphere from 2013 to 2019: Evidence of Volcanic Eruption Impacts, Atmosphere 2022, 13, 250.
  27. Vaillant de Guélis T., Ancellet G., Garnier A., C.-Labonnote L., Pelon J., Vaughan M., Liu Z., Winker D. : Assessing the benefits of Imaging Infrared Radiometer observations for the CALIOP version 4 cloud and aerosol discrimination algorithm, Atmospheric Measurement Techniques, 2022, 15 (6), pp.1931-1956. ⟨10.5194/amt-15-1931-2022⟩
  28. Wendisch, M. et al., inc. O. Jourdan, G. Mioche, A. Schwarzenboeck, C. Gourbeyre, R. Dupuy, Atmospheric and surface processes, and feedback mechanisms determining Arctic Amplification : A review of first results and prospects of the (AC)³ project, Bull. Am. Meteorol. Soc., doi : 10.1175/BAMS-D-21-0218.1, 2023

2021 (18)

  1. Bègue, N.; Bencherif, H.; Jégou, F.; Vérèmes, H.; Khaykin, S.; Krysztofiak, G.; Portafaix, T.; Duflot, V.; Baron, A.; Berthet, G.; et al. : Transport and Variability of Tropospheric Ozone over Oceania and Southern Pacific during the 2019–20 Australian Bushfires. Remote Sens. 2021, 13, 3092. https://doi.org/ 10.3390/rs13163092
  2. Doiteau, B.; Dournaux, M.; Montoux, N.; Baray, J.-L. Atmospheric Rivers and Associated Precipitation over France and Western Europe: 1980–2020 Climatology and Case Study. Atmosphere 2021, 12, 1075. https://doi.org/10.3390/atmos12081075 
  3. Ewald, F., Groß, S., Wirth, M., Delanoë, J., Fox, S., and Mayer, B.: Why we need radar, lidar, and solar radiance observations to constrain ice cloud microphysics, Atmos. Meas. Tech. Discuss. [preprint], https://doi.org/10.5194/amt-2020-448, in review, 2021.
  4. Ferlay, N. et al., Inference of tridimensional cloud vertical structure from POLDER/PARASOL measurements: performance, limits and perspectives, Atm. Meas. Tech., to be submitted (2021)
  5. Flack, S., G. Riviere, I. Musat, R. Roehrig, S. Bony, J. Delanoë, Q. Cazenave and J. Pelon, 2021: Representation by two climate models of the dynamical and diabatic processes involved in the development of an explosively-deepening cyclone during NAWDEX, Weather and Climate Dynamics, 2, 233–253, https://doi.org/10.5194/wcd-2-233-2021
  6. Khaykin, S., Moyer, E., Krämer, M., Clouser, B., Bucci, S., Legras, B., Lykov, A., Afchine, A., Cairo, F., Formanyuk, I., Mitev, V., Matthey, R., Rolf, C., Singer, C., Spelten, N., Volkov, V., Yushkov, V., and Stroh, F.: Persistence of moist plumes from overshooting convection in the Asian monsoon anticyclone, https://doi.org/10.5194/acp-2021-653, 2021, accepté dans ACP
  7. Kloss, C., Berthet, G., Sellitto, P., Ploeger, F., Taha, G., Tidiga, M., Eremenko, M., Bossolasco, A., Jégou, F., Renard, J.-B., and Legras, B.: Stratospheric aerosol layer perturbation caused by the 2019 Raikoke and Ulawun eruptions and their radiative forcing, Atmos. Chem. Phys., 21, 535–560, https://doi.org/10.5194/acp-21-535-2021, 2021
  8. Kloss, C., Sellitto, P., von Hobe, M., Berthet, G., Smale, D., Krysztofiak, G., Xue, C., Qiu, C., Jégou, F., Ouerghemmi, I., and Legras, B.: Australian Fires 2019–2020: Tropospheric and Stratospheric Pollution Throughout the Whole Fire Season, Front. Environ. Sci., 9, 652024, 2021. https://doi.org/10.3389/fenvs.2021.652024, 2021
  9. Léon, J.-F., Akpo, A. B., Bedou, M., Djossou, J., Bodjrenou, M., Yoboué, V., and Liousse, C. (2021): PM2.5 Surface Concentrations in Southern West African Urban Areas Based on Sun Photometer and Satellite Observations, Atmospheric Chemistry and Physics, 21, 1815–1834, https://doi.org/10.5194/acp-21-1815-2021
  10. Lestrelin, H., Legras, B., Podglajen, A., and Salihoglu, M.: Smoke-charged vortices in the stratosphere generated by wildfires and their behaviour in both hemispheres: comparing Australia 2020 to Canada 2017, Atmos. Chem. Phys., 21, 7113–7134, https://doi.org/10.5194/acp-21-7113-2021, 2021.
  11. Perpina, M., V. Noël, H. Chepfer, R. Guzman, A. Feofilov: Link Between Opaque Cloud Properties and Atmospheric Dynamics in Observations and Simulations of Current Climate in the Tropics, and Impact on Future Predictions. Journal of Geophysical Research: Atmospheres, 126 (17), https://doi.org/10.1029/2020JD033899
  12. Selami, N.; Sèze, G.; Gaetani, M.; Grandpeix, J.Y.; Flamant, C.; Cuesta, J.; Benabadji, N.: Cloud Cover over the Sahara during the Summer and Associated Circulation Features. Atmosphere 2021,12,428. https://doi.org/10.3390/atmos12040428
  13. Stubenrauch, C. J., Caria, G., Protopapadaki, S. E., and Hemmer, F.: 3D radiative heating of tropical upper tropospheric cloud systems derived from synergistic A-Train observations and machine learning, Atmos. Chem. Phys., 21, 1015–1034, https://doi.org/10.5194/acp-21-1015-2021, 2021.
  14. Szczap, F., Alkasem, A., Mioche, G., Shcherbakov, V., Cornet, C., Delanoë, J., Gour, Y., Jourdan, O., Banson, S., and Bray, E.: McRALI: a Monte Carlo high-spectral-resolution lidar and Doppler radar simulator for three-dimensional cloudy atmosphere remote sensing, 14, 199–221, https://doi.org/10.5194/amt-14-199-2021, 2021.
  15. Teo, C., Koh, T., Cheung, K. K. W., Legras, B., Huynh, H., Chew, L., and Norford, L.: Scaling characteristics of modelled tropical oceanic rain clusters, Q J R Meteorol Soc, qj.3959, https://doi.org/10.1002/qj.3959, 2021.
  16. Vignon, É., Roussel, M.-L., Gorodetskaya, I. V., Genthon, C., & Berne, A.: Present and future of rainfall in Antarctica. Geophysical Research Letters, 48, e2020GL092281. https://doi.org/10.1029/2020GL092281 , 2021
  17. Weigel, R., Mahnke, C., Baumgartner, M., Dragoneas, A., Vogel, B., Ploeger, F., Viciani, S., D’Amato, F., Bucci, S., Legras, B., Luo, B., and Borrmann, S.: In situ observation of new particle formation (NPF) in the tropical tropopause layer of the 2017 Asian monsoon anticyclone – Part 1: Summary of StratoClim results, Atmos. Chem. Phys., 21, 11689–11722, https://doi.org/10.5194/acp-21-11689-2021, 2021.
  18. Zabukovec, A.; Ancellet, G.; Penner, I.E.; Arshinov, M.; Kozlov, V.; Pelon, J.; Paris, J.-D.; Kokhanenko, G.; Balin, Y.S.; Chernov, D.; Belan, B.D. Characterization of Aerosol Sources and Optical Properties in Siberia Using Airborne and Spaceborne Observations. Atmosphere, 12, 244. https://doi.org/10.3390/atmos12020244, 2021

2020 (27)

  1. Avery M. A., Ryan R. A., Getzewich B. J., Vaughan M. A., Winker D. M., Hu Y., Garnier A., Pelon J., Verhappen C. C. CALIOP V4 cloud thermodynamic phase assignment and the impact of near-nadir viewing angles Atmospheric Measurement Techniques, European Geosciences Union, 2020, 13 (8), pp.4539-4563. doi:10.5194/amt-13-4539-2020
  2. Baray, J.-L., Deguillaume, L., Colomb, A., Sellegri, K., Freney, E., Rose, C., Van Baelen, J., Pichon, J.-M., Picard, D., Fréville, P., Bouvier, L., Ribeiro, M., Amato, P., Banson, S., Bianco, A., Borbon, A., Bourcier, L., Bras, Y., Brigante, M., Cacault, P., Chauvigné, A.,  Charbouillot, T., Chaumerliac, N., Delort, A.-M., Delmotte, M., Dupuy,  R., Farah, A., Febvre, G., Flossmann, A., Gourbeyre, C., Hervier, C.,  Hervo, M., Huret, N., Joly, M., Kazan, V., Lopez, M., Mailhot, G., Marinoni, A., Masson, O., Montoux, N., Parazols, M., Peyrin, F.,  Pointin, Y., Ramonet, M., Rocco, M., Sancelme, M., Sauvage, S., Schmidt,  M., Tison, E., Vaïtilingom, M., Villani, P., Wang, M., Yver-Kwok, C., and Laj, P.: Cézeaux-Aulnat-Opme-Puy De Dôme: a multi-site for the long-term survey of the tropospheric composition and climate change, Atmos. Meas. Tech., 13, 3413–3445, doi 10.5194/amt-13-3413-2020, 2020.
  3. Bucci, S. ; Legras, B., Sellitto, P. ; D’Amato, F. ; Viciani, S. ; Montori, A. ; Chiarugi, A. ; Ravegnani, F. ; Ulanovsky, A. ; Cairo, F. ; Stroh, F.: Deep convective influence on the UTLS composition in the Asian Monsoon Anticyclone region: 2017 StratoClim campaign results (2020) Atmos. Chem. Phys., 20, 12193-12210, https://doi.org/10.5194/acp-20-12193-2020.
  4. Cairo, F., Muro, M. Snels, M., Liberto, L., Bucci, S., Legras, B., Kottayil, A., Scoccione, A., Ghisu, S.: Lidar observations of Cirrus clouds at Palau island (7◦33 N, 134◦48 E) (2020), Atmos Chem. Phys., accepted https://acp.copernicus.org/preprints/acp-2020-1057/ 
  5. Carella G., M. Vrac, H. Brogniez, P. Yiou, and H. Chepfer, 2020: Statistical downscaling of water vapour satellite measurements from profiles of tropical ice clouds, Earth Syst. Sci. Data, 12, 1–20,  https://doi.org/10.5194/essd-12-1-2020
  6. Chazette, P., J. Totems, A. Baron, C. Flamant and S. Bony, 2020: Trade-wind clouds and aerosols characterized by airborne horizontal lidar measurements during the EUREC4A field campaign. Earth Syst. Sci. Data, EUREC4A special issue, 12, 2919-2936, https://doi.org/10.5194/essd-12-2919-2020
  7. Dauhut, T., Noel, V., and Dion, I.-A.: The diurnal cycle of the clouds extending above the tropical tropopause observed by spaceborne lidar, Atmos. Chem. Phys., 20, 3921–3929, https://doi.org/10.5194/acp-20-3921-2020, 2020
  8. Gallagher, M. R., Chepfer, H., Shupe, M. D., & Guzman, R. (2020). Warm temperature extremes across Greenland connected to clouds. Geophysical Research Letters, 47, e2019GL086059. https://doi.org/10.1029/2019GL086059
  9. Garnier A., Pelon J., Pascal N., Vaughan M., Dubuisson P., Yang P., Mitchell D. Version 4 CALIPSO IIR ice and liquid water cloud microphysical properties, Part II: results over oceansAtmospheric Measurement Techniques Discussions, 2020, pp.(Under Review). doi:10.5194/amt-2020-388
  10. Garnier A., Pelon J., Pascal N., Vaughan M., Dubuisson P., Yang P., Mitchell D. Version 4 CALIPSO IIR ice and liquid water cloud microphysical properties, PartI: the retrieval algorithms Atmospheric Measurement Techniques, European Geosciences Union, 2020, doi:10.5194/amt-2020-387
  11. Höjgård-Olsen, E., H. Brogniez, and H. Chepfer, 2020: Observed Evolution of the Tropical Atmospheric Water Cycle with Sea Surface Temperature. J. Climate, 33, 3449–3470, https://doi.org/10.1175/JCLI-D-19-0468.1
  12. Johanssoon, S. ; Höpfner, M. ; Kirner, O. ; Wohlmann, I. ; Bucci, S. ; Legras, B. ; Friedl-Vallon, F. ; Glatthor, N. ; Kretschmer, E. ; Ungermann, J. ; Wetzel, G.: Pollution trace gas distributions and their transport in the Asian monsoon upper troposphere and lowermost stratosphere during the StratoClim campaign 2017 (2020)  Atmos Chem. Phys., 20, 14695-14715, https://doi.org/10.5194/acp-20-14695-2020.
  13. Keita, S. A., Girard, E., Raut, J.-C., Leriche, M., Blanchet, J.-P., Pelon, J., Onishi, T., and Cirisan, A.: A new parameterization of ice heterogeneous nucleation coupled to aerosol chemistry in WRF-Chem model version 3.5.1: evaluation through ISDAC measurements, Geosci. Model Dev., 13, 5737–5755, https://doi.org/10.5194/gmd-13-5737-2020, 2020.
  14. Khaykin, S., Legras, B., Bucci, S., Sellitto, P., Isaksen, L., Tencé, F., Bekki, S., Bourassa, A., Rieger, L., Zawada, D., Jumelet, J., and Godin-Beekmann, S.: The 2019/20 Australian wildfires generated a persistent smoke-charged vortex rising up to 35 km altitude, 2020, Commun Earth Environ, 1, 22, https://doi.org/10.1038/s43247-020-00022-5
  15. Kotthaus, S., Haeffelin, M., Drouin, M. A., Dupont, J. C., Grimmond, S., Haefele, A., … & Wiegner, M. (2020). Tailored Algorithms for the Detection of the Atmospheric Boundary Layer Height from Common Automatic Lidars and Ceilometers (ALC). Remote Sensing, 12(19), 3259
  16. Legras, B. ; Bucci, S. : Confinement of air in the Asian monsoon anticyclone and pathways of convective air to the stratosphere during summer season (2020) Atmos. Chem. Phys., 20, 11045-11064, https://doi.org/10.5194/acp-20-11045-2020.
  17. Léon, J.-F.., Martiny, N., and Merlet, S. (2020): A Multi Linear Regression Model to Derive Dust PM10 in the Sahel Using AERONET Aerosol Optical Depth and CALIOP  Aerosol Layer Products, Remote Sensing, 12, 3099, DOI: doi:10.3390/rs12183099
  18. Lestrelin, H., Legras, B., Podglajen, A., and Salihoglu, M.: Smoke-charged vortices in the stratosphere generated by wildfires and their behaviour in both hemispheres: comparing Australia 2020 to Canada 2017, 2020, Atmos. Chem. Phys. Disc., accepted in ACP, https://doi.org/10.5194/acp-2020-1201
  19. Listowski, C., Rojo, M., Claud, C., Delanoë, J., Rysman, J.‐F., Cazenave, Q., & Noer, G.(2020). New insights into the vertical structure of clouds in polar lows, using radar‐lidar satellite observations. Geophysical Research Letters, 47, e2020GL088785. https://doi.org/10.1029/2020GL088785
  20. Petäjä, T., Duplissy, E.-M., Tabakova, K., Schmale, J., Altstädter, B., Ancellet, G., Arshinov, M., Balin, Y., et al. : Overview: Integrative and Comprehensive Understanding on Polar Environments (iCUPE) – concept and initial results, Atmos. Chem. Phys., 20, 8551–8592, https://doi.org/10.5194/acp-20-8551-2020, 2020.
  21. Roehrig, R., Beau, I., Saint‐Martin, D., Alias, A., Decharme, B., Guérémy, J.‐F., et al. (2020). The CNRM global atmosphere model ARPEGE‐Climat 6.3: Description and evaluation. Journal of Advances in Modeling Earth Systems, 12, e2020MS002075. https://doi.org/10.1029/2020MS002075
  22. Roussel, M.-L., Lemonnier, F., Genthon, C., and Krinner, G.: Brief communication: Evaluating Antarctic precipitation in ERA5 and CMIP6 against CloudSat observations, The Cryosphere, 14, 2715–2727, https://doi.org/10.5194/tc-14-2715-2020, 2020
  23. Saint-Lu, M., S. Bony and J.-L. Dufresne, 2020: Observational evidence for a stability Iris effect in the Tropics. Geophys. Res. Lett., 47, e2020GL089059, https://doi.org/10.1029/2020GL089059
  24. Sellitto, P., Bucci, S., and Legras, B.: Comparison of ISS/CATS and CALIPSO/CALIOP Characterization of High Clouds in the Tropics, 2020, Remote Sensing, 12, 3946, https://doi.org/10.3390/rs12233946
  25. Semie, A. and S. Bony, 2020: Relationship between precipitation extremes and convective organization inferred from satellite observations. Geophys. Res. Lett., 47, e2019GL086927. https://doi.org/10.1029/2019GL086927
  26. Toledo, F., Delanoë, J., Haeffelin, M., Dupont, J.-C., Jorquera, S., and Le Gac, C.: Absolute calibration method for frequency-modulated continuous wave (FMCW) cloud radars based on corner reflectors, Atmos. Meas. Tech., 13, 6853–6875, https://doi.org/10.5194/amt-13-6853-2020, 2020
  27. Waliser, D., Gleckler, P. J., Ferraro, R., Taylor, K. E., Ames, S., Biard, J., Bosilovich, M. G., Brown, O., Chepfer, H., Cinquini, L., Durack, P., Eyring, V., Mathieu, P.-P., Lee, T., Pinnock, S., Potter, G. L., Rixen, M., Saunders, R., Shulz, J., Thepaut, J.-N., and Tuma, M.: Observations for Model Intercomparison Project (Obs4MIPs): Status for CMIP6, Geosci. Model Dev., https://doi.org/10.5194/gmd-2019-268, in press., 2020

2019 (26)

  1. Ancellet, G., I. E. Penner, J. Pelon, V. Mariage, A. Zabukovec, J. C. Raut, G. Kokhanenko and Y. S. Balin, 2019: “Aerosol monitoring in Siberia using an 808-nm automatic compact lidar”, Atmos. Tech., 12, 147-168, doi:10.5194/amt-12-147-2019.
  2. Baray, J.-L.; Bah, A.; Cacault, P.; Sellegri, K.; Pichon, J.-M.;
    Deguillaume, L.; Montoux, N.; Noel, V.; Seze, G.; Gabarrot, F.; Payen,
    G.; Duflot, V. Cloud Occurrence Frequency at Puy de Dôme (France)
    Deduced from an Automatic Camera Image Analysis: Method, Validation, and
    Comparisons with Larger Scale Parameters. Atmosphere 2019, 10, 808. doi
    10.3390/atmos10120808
  3. Bellouin, N., Quaas, J., Gryspeerdt, E., Kinne, S., Stier, P., Watson-Parris, D., Boucher, O., Carslaw, K., Christensen, M., Daniau, A.-L., Dufrsene, J.-L., Feingold, G., Fiedler, S., Forster, P., Gettleman, A., Haywood, J., Malavelle, F., Lohmann, U., Mauritsen, T., McCoy, D., Myhre, G., Mülmenstädt, J., Neubauer, D., Possner, A., Rugenstein, M., Sato, Y., Schulz, M., Schwarz, S. E., Sourdeval, O., Storelvmo, T., Toll, V., Winker, D., and Stevens, B.: Bounding aerosol radiative forcing of climate change, Rev. Geophys., submitted, 2019.
  4. Cazenave Q., Marie Ceccaldi, Julien Delanoë, Jacques Pelon, Silke Groß, et al., 2019, Evolution of DARDAR-CLOUD ice cloud retrievals: new parameters and impacts on the retrieved microphysical properties. Atmospheric Measurement Techniques, European Geosciences Union, 2019, 12 (5), pp.2819-2835. ⟨10.5194/amt-12-2819-2019⟩.
  5. Cesana, G., Del Genio, A. D., and Chepfer, H, 2019: The Cumulus And Stratocumulus CloudSat-CALIPSO Dataset (CASCCAD), Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2019-73
  6. Chazette, P., Flamant, C., Totems, J., Gaetani, M., Smith, G., Baron, A., Landsheere, X., Desboeufs, K., Doussin, J.-F., and Formenti, P.: Evidence of the complexity of aerosol transport in the lower troposphere on the Namibian coast during AEROCLO-sA, Atmos. Chem. Phys., 19, 14979–15005, https://doi.org/10.5194/acp-19-14979-2019, 2019
  7. Chepfer, H., Brogniez, H. & Noel, V. Diurnal variations of cloud and relative humidity profiles across the tropics. Sci Rep 9, 16045 (2019) doi:10.1038/s41598-019-52437-6, www.nature.com/articles/s41598-019-52437-6
  8. Deroubaix, A., L. Menut, C. Flamant, J. Brito, C. Denjean, V. Dreiling, A. Fink, C. Jambert, N. Kalthoff, P. Knippertz, R. Ladkin, S. Mailler, M. Maranan, F. Pacifico, B. Piguet, G. Siour and S. Turquety, 2019: “Diurnal cycle of coastal anthropogenic pollutant transport over southern West Africa during the DACCIWA campaign”, Atmos. Phys., 19, 473-497, doi:10.5194/acp-19-473-2019.
  9. Durán-Alarcón, C., B. Boudevillain, C. Genthon, J. Grazioli, N. Souverijns, N. P. M. van Lipzig, I. Gorodetskaya, et A. Berne, 2018. The vertical structure of precipitation at two stations in East Antarctica derived from micro rain radars, The Cryosphere, 3, 247-264, 2019, https://doi.org/10.5194/tc-13-247-2019
  10. Edel, L., J.-F. Rysman, C. Claud, C. Palerme, et C. Genthon: Potential of Passive Microwave around 183 GHz for Snowfall Detection in the Arctic, Remote Sens. 2019, 11(19), 2200; https://doi.org/10.3390/rs11192200
  11. Ehrlich, A., et al., including O. Jourdan and R. Dupuy, A comprehensive in situ and remote sensing data set from the Arctic Cloud Observations Using airborne measurements during polar Day (ACLOUD) campaign, Earth Syst. Sci. Data, https://doi.org/10.5194/essd-2019-96, 2019
  12. Feofilov, A. G. and Stubenrauch, C. J.: Diurnal variation of high-level clouds from the synergy of AIRS and IASI space-borne infrared sounders, Atmos. Chem. Phys., 19, 13957–13972, https://doi.org/10.5194/acp-19-13957-2019, 2019.
  13. Gallagher, M. R., H. Chepfer, M. D. Shupe, and R. Guzman (under review), Warming extremes across Greenland influenced by clouds.
  14. Keita, S. A., Girard, E., Raut, J.-C., Pelon, J., Blanchet, J.-P., Lemoine, O., Onishi, T. : Simulating Arctic Ice Clouds during Spring Using an Advanced Ice Cloud Microphysics in the WRF Model, Atmosphere, MDPI, 10 (8), art.433, doi:10.3390/atmos10080433, 2019.
  15. Lemonnier, F. J-B Madeleine, C. Claud, C.Genthon, C. Durán-Alarcón, C. Palerme, A. Berne, N. Souverijns, N. van Lipzig, I. Gorodetskaya, T. L’Ecuyer, and N. WoodE, 2019. Evaluation of CloudSat snowfall rate profiles by a comparison with in-situ micro rain radars observations in East Antarctica, The Crysophere, 3, 943–954, DOI:10.5194/tc-13-943-2019
  16. Listowski, C., Delanoë, J., Kirchgaessner, A., Lachlan-Cope, T., and King, J.: Antarctic clouds, supercooled liquid water and mixed phase, investigated with DARDAR: geographical and seasonal variations, Atmos. Phys., 19, 6771-6808, https://doi.org/10.5194/acp-19-6771-2019, 2019
  17. Liu, Z., J. Kar, S. Zeng, J. Tackett, M. Vaughan, M. Avery, J. Pelon, B. Getzewich, K.-P. Lee, B. Magill, A. Omar, P. Lucker, C. Trepte and D. Winker, 2019: “Discriminating Between Clouds and Aerosols in the CALIOP Version 4.1 Data Products”, Atmos. Tech., 12, 703-734, doi:10.5194/amt-12-703-2019.
  18. Morrison, A. L., Kay, J. E., Frey, W. R., Chepfer, H. and R. Guzman, 2019: Cloud response to Arctic Sea Ice Loss and Implications for Future Feedbacks in the CESM Climate Model, J. Geophys. Atmos., DOI: 10.1029/2018JD029142
  19. Protat, A., Rauniyar, S., Delanoë, J., Fontaine, E., & Schwarzenboeck, A. (2019). W-Band (95 GHz) Radar Attenuation in Tropical Stratiform Ice Anvils, Journal of Atmospheric and Oceanic Technology, 36(8), 1463-1476. Retrieved Feb 22, 2021, from https://journals.ametsoc.org/view/journals/atot/36/8/jtech-d-18-0154.1.xml
  20. Samoilova S. V., Penner I. E., Kokhanenko G. P., and Balin Yu. S. Simultaneous reconstruction of two microphysical aerosol characteristics from the lidar data. Journal of Quantitative Spectroscopy and Radiative Transfer, 2019, N 222-223 pp. 35-44.
  21. Stubenrauch, C. J., and UTCC PROES Team, Process Evaluation Study on Upper Tropospheric Clouds and Convection: 2018 Highlights, GEWEX News, 29, pp 16–17 (Feb 2019)
  22. Vaughan M., A. Garnier, D. Josset, M. Avery, K.-P. Lee, Z. Liu, W. Hunt, J. Pelon, Y. Hu, S. Burton, J. Hair, J. Tackett, B. Getzewich, J. Kar and S. Rodier, 2019: “CALIPSO Lidar Calibration at 1064 nm: Version 4 Algorithm”, Atmos. Tech., 12, 51-82, doi:10.5194/amt-12-51-2019.
  23. Vérèmes, H., C. Listowski, J. Delanoë, C. Barthe, P. Tulet, F. Bonnardot and D. Roy, “Spatial and seasonal variability of clouds over the South-West Indian Ocean based on the DARDAR mask product,” Q. J. R. Meteorol. Soc., 1–16, 2019. https://doi.org/10.1002/qj.3640.
  24. Wendish, M., et al., including O. Jourdan, R. Dupuy, C. Gourbeyre, G. Mioche and A. Schwarzenböck, The Arctic cloud puzzle : Using ACLOUD/PASCAL multi-platform observations to unravel the role of clouds and aerosol particles in Arctic Amplification, BAMS, doi.:10.1175/BAMS-D-18-0072.1, 2019
  25. Young, T. Lachlan-Cope, S. J. O’Shea, C. Dearden, C. Listowski, K. N. Bower, T. W Choularton, M. W. Gallagher: Radiative effects of secondary ice enhancement in coastal Antarctic clouds, Geophysical Research Letters, 46, 2312–2321. https://doi.org/10.1029/2018GL080551, 2019
  26. Zabukovec A., Ancellet G., Pelon J., Penner I.E., Kokhanenko G., Balin Y., Identification of aerosol sources in Siberia and study of aerosol transport at regional scale by airborne and space-borne lidar measurement, accepted for publication 29eme ILRC extended abstract book, Hefei 2019.

2018 (34)

  1. Antonovich V. V., Antokhin P. N., Arshinov M. Yu., Belan B. D., Balin Yu. S., Davydov D. K., Ivlev G. A., Kozlov A. V., Kozlov V. S., Kokhanenko G. P., Novoselov M. M., Panchenko M. V., Penner I. E., Pestunov D. A., Savkin D. E., Simonenkov D. V., Tolmachev G. N., Fofonov A. V., Chernov D. G., Smargunov V. P., Yausheva E. P., Paris J.-D., Ancellet G., Law K. S., Pelon J., Machida T., Sasakawa M. Station for the comprehensive monitoring of the atmosphere at Fonovaya Observatory, West Siberia: current status and future needs. Proc. SPIE 10833, 24th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 108337Z, 2018, doi: 10.1117/12.2504388
  2. Chepfer, H., Noel, V., Chiriaco, M., Wielicki, B., Winker, D., Loeb, N., & Wood, R. (2018). The potential of a multidecade spaceborne lidar record to constrain cloud feedback. Journal of Geophysical Research: Atmospheres, 123, 5433–5454. https://doi.org/10.1002/2017JD027742.
  3. Chiriaco M., J.-C. Dupont, S. Bastin, J. Badosa, J. Lopez, M. Haeffelin,H. Chepfer, R. Guzman, 2018: ReOBS: a new approach to synthetize long-term multi-variable dataset and application to the SIRTA supersite. EarthSystem Science Data, https://doi.org/10.5194/essd-10-919-2018
  4. Di Biagio C., Pelon J., Ancellet G., Bazureau A., Mariage V. Sources, Load, Vertical Distribution, and Fate of Wintertime Aerosols North of Svalbard From Combined V4 CALIOP Data, Ground-Based IAOOS Lidar Observations and Trajectory Analysis, Journal of Geophysical Research: Atmospheres, American Geophysical Union, 2018, 123 (2), pp. 1363-1383 〈1002/2017JD02753
  5. Dommo, A., Philippon, N., Seze, G., & Vondou, D. A. (2018). The June to September low cloud cover in western Central Africa: mean diurnal and spatial patterns and associated atmospheric dynamics. Journal of Climate, 31(23). doi: 10.1175/JCLI-D-17-0082.1
  6. Dupuy, R., O. Jourdan, G. Mioche, A. Ehrlich, F. Waitz, C. Gourbeyre, E. Järvinen, M. Schnaiter, and A. Schwarzenböck, Cloud Microphysical properties of summertime arctic stratocumulus during the ACLOUD campaign : comparison with previous results in the European Arctic, extended abstract, 15th Conference on Cloud Physics, 2018, Vancouver, Canada, Hal-01932907, 2018
  7. Frey, W. R., Morrison, A. L., Kay, J. E., Guzman, R., & Chepfer, H. (2018). The combined influence of observed Southern Ocean clouds and sea ice on top-of-atmosphere albedo. Journal of Geophysical Research: Atmospheres, 123, 4461–4475. https://doi.org/10.1029/ 2018JD028505.
  8. Garnier, A., Trémas, T., Pelon, J., Lee, K.-P., Nobileau, D., Gross-Colzy, L., Pascal, N., Ferrage, P., and Scott, N. A.: CALIPSO IIR Version 2 Level 1b calibrated radiances: analysis and reduction of residual biases in the Northern Hemisphere, Atmos. Tech., 11, 2485-2500, https://doi.org/10.5194/amt-11-2485-2018, 2018
  9. Goosse, H., Jennifer Kay, Kyle Armour, Alejandro Bodas-Salcedo, Helene Chepfer, David Docquier, Alexandra Jonko, Paul Kushner, Olivier Lecomte, François Massonnet, Hyo-Seok Park, Felix Pithan, Gunilla Svensson, and Martin Vancoppenolle, 2018 : Quantifying climate feedbacks in polar regions” Nature Communication [Paper #NCOMMS-1724284B]
  10. Grosvenor, D. P., Sourdeval, O., and Wood, R.: Parameterizing cloud top effective radii from satellite retrieved values, accounting for vertical photon transport: quantification and correction of the resulting bias in droplet concentration and liquid water path retrievals, Atmos. Tech., 11, 4273-4289, https://doi.org/10.5194/amt-11-4273-2018, 2018
  11. Grosvenor, D. P., Sourdeval, O., Zuidema, P., Ackerman, A., Alexandrov, M. D., Bennartz, R., et al. (2018). Remote sensing of droplet number concentration in warm clouds: A review of the current state of knowledge and perspectives. Reviews of Geophysics, 56, 409–453. https://doi.org/10.1029/2017RG000593
  12. Gryspeerdt, E., Sourdeval, O., Quaas, J., Delanoë, J., Krämer, M., and Kühne, P.: Ice crystal number concentration estimates from lidar–radar satellite remote sensing – Part 2: Controls on the ice crystal number concentration, Atmos. Chem. Phys., 18, 14351-14370, https://doi.org/10.5194/acp-18-14351-2018, 2018
  13. Hadad D., J.-L. Baray, N. Montoux, J. Van Baelen, P. Fréville, J.M. Pichon, P. Bosser, M. Ramonet , C. Yver Kwok, N. Begue, and V. Duflot, 2018: Surface and tropospheric water vapor variability and decadal trends at two supersites of CO-PDD (Cézeaux and Puy de Dôme) in central France, Atmosphere, 2018, 9(8), 302; doi:10.3390/atmos9080302
  14. Järvinen, E., O. Jourdan, D. Neubauer, B. Yao, C. Liu, M. O. Andrea, U. Lohmann, M. Wendish, G. M. McFarquhar, T. Leisner, and M. Shnaiter, 2018: Additional global climate cooling by clouds due to ice crystal complexity, Atmospheric Chemistry and Physics, doi:10.5194/acp-18-15767-2018
  15. Josset, D., J. Pelon, N. Pascal, Y. Hu and W. Hou, 2018: “On the Use of CALIPSO Land Surface Returns to Retrieve Aerosol and Cloud Optical Depths”, IEEE Trans. Remote Sens., 56, 3256-3264, doi:10.1109/TGRS.2018.2796850.
  16. Kay, J. E., L’Ecuyer, T., Pendergrass, A., Chepfer, H., Guzman, R. and V. Yetella, 2018: Scale-aware and definition-aware evaluation of modeled near-surface precipitation frequency using CloudSat observations, J. Geophys. Atmos., DOI:10.1002/2017JD028213
  17. Kar, J., M. A. Vaughan, K. P. Lee, J. Tackett, M. Avery, A. Garnier, B. Getzewich, W. Hunt, D. Josset, Z. Liu, P. Lucker, B. Magill, A. Omar, J. Pelon, R. Rogers, T. D. Toth, C. Trepte, J-P. Vernier, D. Winker and S. Young, 2018: “CALIPSO Lidar Calibration at 532 nm: Version 4 Nighttime Algorithm”, Atmos. Meas. Tech., 11, 1459–1479, https://doi.org/ 10.5194/amt-11-1459-2018.
  18. Khaykin, S. M., S. Godin-Beekmann, A. Hauchecorne, J. Pelon, F. Ravetta and P. Keckhut, 2018: “Stratospheric smoke with unprecedentedly high backscatter observed by lidars above southern France”, Geophys. Res. Lett., 45, 1639–1646, https://doi.org/10.1002/2017GL076763.
  19. Kokhanenko G. P., Balin Yu. S., Klemasheva M. G., Nasonov S. V., Novoselov M. M., Penner I. E., Samoilova S. V., Ancellet G., Pelon J. Lidar observations of the regional transport and formation of aerosol fields in the background and urban areas. Proc. SPIE 10833, 24th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 108335M, 2018, doi: 10.1117/12.2504551
  20. Lacour, A., Chepfer, H., Miller, N. B., Shupe, M. D., Noel, V., Fettweis, X., et al. (2018). How Well Are Clouds Simulated over Greenland in Climate Models? Consequences for the Surface Cloud Radiative Effect over the Ice Sheet. Journal of Climate, 31, 20.
  21. Larroza, E.G., W.M. Nakaema, E. Landulfo, J-L. Baray, D. Dionisi, S. Khaykin, F. Ravetta, H. Vérèmes and P. Keckhut, LONG RANGE TRANSPORT OF WATER CHANNELIZE THROUGH THE SOUTHERN SUBTROPICAL JET, Atmosphere, MDPI 2018, 9 (10), pp.374. 10.3390/atmos9100374insu-018832072018
  22. Luebke, A., J. Delanoë, V. Noel, H. Chepfer, and B. Stevens, 2018: A Workshop on Remote Sensing of the Atmosphere in Anticipation of the EarthCARE Satellite Mission. Amer. Meteor. Soc. doi:10.1175/BAMS-D-18-0143.1
  23. Mioche, G., and O. Jourdan, Spaceborne remote sensing and airborne in situ observations of Arctic mixed-phase clouds, in Mixed-Phase Clouds : Observations and Modelling, p. 300, edited by Constantin Andronache, Cambridge, MA, 121150, 10.1016/B978-0-12-810549-8.00006-4, 2018.
  24. Mitchell, D. L., Garnier, A., Pelon, J., and Erfani, E.: CALIPSO (IIR–CALIOP) retrievals of cirrus cloud ice-particle concentrations, Atmos. Phys., 18, 17325-17354, https://doi.org/10.5194/acp-18-17325-2018, 2018
  25. Morrison A., J. Kay, H. Chepfer and R. Guzman, 2018: Isolating the liquid cloud response to recent Arctic sea ice variability using spaceborne lidar observations, J. Geophys. Atmos., DOI:10.1002/2017JD027248
  26. Noel, V., Chepfer, H., Chiriaco, M., and Yorks, J. 2018: The diurnal cycle of cloud profiles over land and ocean between 51° S and 51° N, seen by the CATS spaceborne lidar from the International Space Station, Atmos. Phys., 18, 9457-9473, doi:10.5194/acp-18-9457-2018
  27. Palerme, C., C. Claud, N. Wood, T. L’Ecuyer, C. Genthon, 2018. How does ground clutter affect CloudSat snowfall retrievals over ice sheets ?, IEEE Geosciences and remote Sensing Letters 16 (3°, 342-346, DOI:10.1109/LGRS.2018.2875007
  28. Po-Lun M., P. Rasch, H. Chepfer, D. Winker, and S. Ghan, 2018: Observational Constraint on Cloud Susceptibility Weakened by Aerosol Retrieval Limitations, Nature Communication, 9, 2640
  29. Sourdeval, O., Gryspeerdt, E., Krämer, M., Goren, T., Delanoë, J., Afchine, A., Hemmer, F., and Quaas, J.: Ice crystal number concentration estimates from lidar-radar satellite remote sensing. Part 1: Method and evaluation, Atmos. Chem. Phys. Discuss., 2018, 1-31, doi: 10.5194/acp-2018-20, 2018
  30. Souverijns, N., A. Gossart, S. Lhermitte, I. V. Gorodetskaya, J. Grazioli, A. Berne, C. Durán-Alarcón, B. Boudevillain, C. Genthon, C. Scarchilli, and N. P. M. van Lipzig, 2018. Evaluation of the CloudSat surface snowfall product over Antarctica using ground-based precipitation radars, The Cryosphere, 12, 3775-3789, 2018, doi.org/10.5194/tc-12-3775-2018.
  31. Stephens, G., D. Winker, J. Pelon, C. Trepte, D. Vane, C. Yuhas, T. L’Ecuyer and M. Lebsock, 2018: “CloudSat and CALIPSO within the A-Train: Ten years of actively observing the Earth system”, B. Am. Soc., 99, 583-603, doi:10.1175/BAMS-D-16-0324.1.
  32. Stephens, G. L., M. Z. Hakuba J. Webb, M. Lebsock,  Q. Yue,  B. H. Kahn, S. Hristova‐Veleva,  A. D. Rapp, C. J. Stubenrauch, G. S. Elsaesser, and J. Slingo, Regional Intensification of the Tropical Hydrological Cycle During ENSO, Geophys. Res. Lett., 45, 4361-4370, DOI:10.1029/ 2018GL077598 (2018)
  33. Stubenrauch, C., Mieux comprendre le rôle des nuages d’altitude, [colonne dans Pour la Science, 484, p. 56] (2018)
  34. Vaillant de Guélis T., H. Chepfer, R. Guzman, M. Bonazzola, D. Winker, and V. Noel, 2018: Space lidar observations constrain longwave cloud feedback. Scientific Reports 8, 16570, doi:10.1038/s41598-018-34943-1

2017 (25)

  1.  Alkasem A., F. Szczap, C. Cornet, V. Shcherbakov, Y. Gour, O. Jourdan, L.C.-Labonnote and G. Mioche, 2017, Effects of cirrus heterogeneity on lidar CALIOP/CALIPSO data, J. Quant. Spectrosc. Radiat. Transfer, 202, 38-49, doi:10.1016/j.jqsrt.2017.07.005
  2. Bègue et al., Long-range transport of stratospheric aerosols in the Southern Hemisphere following the 2015 Calbuco eruption, Atmos. Chem. Phys., 17, 15019-15036, 2017.
  3. Bony S., B. Stevens, F. Ament, S. Bigorre, P. Chazette, S. Crewell, J. Delanoë, K. Emanuel, D. Farrell, C. Flamant, S. Gross, L. Hirsch, J. Karstensen, B. Mayer, L. Nuijens, J. H. Ruppert Jr., I. Sandu, P. Siebesma, S. Speich, F. Szczap, J. Totems, R. Vogel, M. Wendisch, and M. Wirth, 2017, EUREC4A: A field campaign to elucidate the couplings between clouds, convection and circulation, Surveys of Geophysics, DOI 10.1007/s10712-017-9428-0
  4. Bou Karam Francis, D., C. Flamant, J.-P. Chaboureau, J. Banks, J. Cuesta, H. Brindley and L. Oolman, 2017: “Dust emission and transport over Iraq associated with the summer Shamal winds”, Aeolian Research, 24, 15–31, 10.1016/j.aeolia.2016.11.001.
  5. Crawford, I., Gallagher, M. W., Bower, K. N., Choularton, T. W., Flynn, M. J., Ruske, S., Listowski, C., Brough, N., Lachlan-Cope, T., Fleming, Z. L., Foot, V. E., and Stanley, W. R.: Real-time detection of airborne fluorescent bioparticles in Antarctica, Atmos. Chem. Phys., 17, 14291-14307, https://doi.org/10.5194/acp-17-14291-2017, 2017.
  6. Di Biagio, C., Pelon, J., Ancellet, G.,Bazureau, A., & Mariage, V. (2018).Sources, load, vertical distribution, andfate of wintertime aerosols north ofSvalbard from combined V4 CALIOPdata, ground-based IAOOS lidarobservations and trajectory analysis. Journal of Geophysical Research:Atmospheres, 123, 1363–1383.
  7. Garnier, A., Scott, N. A., Pelon, J., Armante, R., Crépeau, L., Six, B., and Pascal, N.: Long-term assessment of the CALIPSO Imaging Infrared Radiometer (IIR) calibration and stability through simulated and observed comparisons with MODIS/Aqua and SEVIRI/Meteosat, Atmos. Meas. Tech., 10, 1403-1424, https://doi.org/10.5194/amt-10-1403-2017, 2017
  8. Grazioli, J., Genthon, C., Boudevillain, B., Duran-Alarcon, C., Del Guasta, M., Madeleine, J.-B., and Berne, A.: Measurements of precipitation in Dumont d’Urville, Adélie Land, East Antarctica, The Cryosphere, 11, 1797-1811, https://doi.org/10.5194/tc-11-1797-2017, 2017.
  9. Guzman R., H. Chepfer, V. Noel, T. Vaillant de Guélis, J. E. Kay, P. Raberanto, G. Cesana, M. A. Vaughan, and D. M. Winker, 2017: Direct atmosphere opacity observations from CALIPSO provide new constraints on cloud- radiation interactions. J. Geophys. Res. Atmos., 122, 1066-1085, doi:10.1002/2016JD025946
  10. Heinze, R., Dipankar, A., Henken, C. C., Moseley, C., Sourdeval, O., Trömel, S., Xie, X., Adamidis, P., Ament, F., Baars, H., Barthlott, C., Behrendt, A., Blahak, U., Bley, S., Brdar, S., Brueck, M., Crewell, S., Deneke, H., Di Girolamo, P., Evaristo, R., Fischer, J., Frank, C., Friederichs, P., Göcke, T., Gorges, K., Hande, L., Hanke, M., Hansen, A., Hege, H.-C., Hoose, C., Jahns, T., Kalthoff, N., Klocke, D., Kneifel, S., Knippertz, P., Kuhn, A., van Laar, T., Macke, A., Maurer, V., Mayer, B., Meyer, C. I., Muppa, S. K., Neggers, R. A. J., Orlandi, E., Pantillon, F., Pospichal, B., Röber, N., Scheck, L., Seifert, A., Seifert, P., Senf, F., Siligam, P., Simmer, C., Steinke, S., Stevens, B., Wapler, K., Weniger, M., Wulfmeyer, V., Zängl, G., Zhang, D., and Quaas, J.: Large-eddy simulations over Germany using ICON: a comprehensive evaluation, Quart. J. Roy. Meteor. Soc., 143, 69-100, doi: 10.1002/qj.2947, 2017
  11. Lacour A., H. Chepfer, M. D. Shupe, N. B. Miller, V. Noel, J. Kay, D. D. Turner, R. Guzman, 2017: Greenland clouds observed in CALIPSO-GOCCP: comparison with ground-based Summit observations. J. Clim. in press
  12. Listowski, C.and Lachlan-Cope, T., The microphysics of clouds over the Antarctic Peninsula – Part 2: modelling aspects within Polar WRF,Atmos.Chem. Phys., 17, 10195-10221, https://doi.org/10.5194/acp-17-10195-2017, 2017
  13. Mioche G., O. Jourdan, J. Delanoë, C. Gourbeyre, G. Febvre, R. Dupuy, M. Monier, F. Szczap, A. Schwarzenboeck, and J.-F. Gayet, 2017: Vertical distribution of microphysical properties of Arctic springtime low-level mixed-phase clouds over the Greenland and Norwegian Seas, Atmos. Chem. Phys., accepted
  14. Orr, A., C. Listowski,et al., Sensitivity of simulated summer monsoonal precipitation in Langtang Valley, Himalaya, to cloud microphysics schemes in WRF, J. Geophys. Res. Atmos., 122, doi:10.1002/2016JD025801, 2017
  15. O’Shea, S. J., … Listowski, et al., In situ measurements of cloud microphysics and aerosol over coastal Antarctica during the MAC campaign, Atmos. Chem. Phys., 17, 13049-13070, https://doi.org/10.5194/acp-17-13049-2017, 2017.
  16. Palerme, C., C. Claud, A. Dufour, C. Genthon, J. Kay, N. Wood, T. L’Ecuyer, 2017. Evaluation of Antarctic snowfall in global meteorological reanalyses, Atm. Res., 48 (1-2):225-239;, DOI10.1007/s00382-016-3071-1.
  17. Pelon J., D. M. Winker, G. Ancellet, M. Vaughan, D. Josset, A. Bazureau and N. Pascal, Space observation of aerosols from satellite over China during pollution episodes : status and perspectives in Air pollution in Asia : an integrated Perspective, 2017, I. Bouarar, X. Wang and P. Brasseur eds., ISSI Scientific report series, Springer.
  18. Platnick, S., K. G. Meyer, M. D. King, G. Wind, N. Amarasinghe, B. Marchant, G. T. Arnold, Z. Zhang, P. A. Hubanks, R. E. Holz, P. Yang, W. L. Ridgway and J. Riedi, 2017: “The MODIS Cloud Optical and Microphysical Products: Collection 6 Updates and Examples From Terra and Aqua”, IEEE Trans. Geosci. Remote Sens., 55, 502–525, doi:10.1109/TGRS.2016.2610522.
  19. Protopapadaki, S. E., Stubenrauch, C. J., and Feofilov, A. G.: Upper tropospheric cloud systems derived from IR sounders: properties of cirrus anvils in the tropics, Atmos. Chem. Phys., 17, 3845-3859, doi:10.5194/acp-17-3845-2017, 2017. GEWEX Research Highlight
  20. Stubenrauch, C. J., Feofilov, A. G., Protopapadaki, E.-S., and Armante, R., Cloud climatologies from the InfraRed Sounders AIRS and IASI: Strengths and Applications, Atmosph. Chem. Phys., 17, 13625-13644, doi :10.5194/acp-17-13625-2017 (2017)
  21. Thompson, D. W. J., S. Bony and Y. Li, 2017: Thermodynamic constraint on the depth of the global tropospheric circulation. PNAS, 114 (31), 8181–8186, doi: 10.1073/pnas.1620493114
  22. Vaillant de Guélis T., H. Chepfer, V. Noel, R. Guzman, D. Winker, R. Plougonven, 2017: Using space lidar observations to decompose Longwave Cloud Radiative Effect variations over the last decade, Geophys. Res. Let. 44, doi: 10.1002/2017GL074628
  23. Vaillant de Guélis, T., Chepfer, H., Noel, V., Guzman, R., Dubuisson, P., Winker, D. M., and Kato, S.: The link between outgoing longwave radiation and the altitude at which a spaceborne lidar beam is fully attenuated, Atmos. Meas. Tech., 10, 4659-4685, 2017, doi:10.5194/amt-10-4659-2017
  24. Webb, M. and co-authors including H. Chepfer, 2017: The Cloud Feedback Model Intercomparison Project (CFMIP) contribution to CMIP6, Geoscientific Model Development, doi:10.5194/gmd-10-359-2017
  25. Winker, D., Chepfer, H., Noel, V., X. Cai, 2017 : Observational Constraints on Cloud Feedbacks: The Role of Active Satellite Sensors. Surveys in Geophysics 38 (6), 1483-1508, doi:10.1007/s10712-017-9452-0.

2016 (18)

    1. Ancellet, G., Pelon, J., Totems, J., Chazette, P., Bazureau, A., Sicard, M., Di Iorio, T., Dulac, F., and Mallet, M.: Long-range transport and mixing of aerosol sources during the 2013 North American biomass burning episode: analysis of multiple lidar observations in the western Mediterranean basin, Atmos. Chem. Phys., 16, 4725-4742, doi:10.5194/acp-16-4725-2016, 2016
    2. Ancellet G., J. Pelon, 2016: CALIPSO fete ses 10 ans. La Meteorologie 94 (5), 5-6.
    3. Bastin, S., Chiriaco, M., Drobinski, P. 2016: Control of radiation and evaporation on temperature variability in a WRF regional climate simulation: comparison with colocated long term ground based observations near Paris. Climate Dynamics. 10.1007/s00382-016-2974-1
    4. Bouniol, D., R. Roca, T. Fiolleau and D. Poan, 2016: “Macrophysical, microphysical and radiative properties of tropical Mesocale Convective Systems over their life cycle”,J. Climate, 29, 3353–3371, doi:10.1175/JCLI-D-15-0551.1.
    5. Cesana G., H. Chepfer , D.M. Winker , B. Getzewich , X. Cai , H. Okamoto , Y. Hagihara , O. Jourdan , G. Mioche , V. Noel , M. Reverdy, 2016: Using In-Situ Airborne Measurements to Evaluate Three Cloud Phase Products Derived from CALIPSO, J. Geophys. Res. Atmos., 121, 5788-5808, doi:10.1002/2015JD024334
    6. Chakroun, M., Bastin, S., Chiriaco, M., and H. Chepfer 2016: Characterization of vertical cloud variability over Europe using spatial lidar observations and regional simulation. Climate Dynamics. 10.1007/s00382-016-3037-3.
    7. Chazette, P., Totems, J., Ancellet, G., Pelon, J., and Sicard, M.: Temporal consistency of lidar observations during aerosol transport events in the framework of the ChArMEx /ADRIMED campaign at Minorca in June 2013, Atmos. Chem. Phys., 16, 2863-2875, 2016.
    8. Hoareau, C., Noel, V., Chepfer, H., Vidot, J., Chiriaco, M., Bastin, S., Reverdy, M. and Cesana, G. (2016), Remote sensing ice supersaturation inside and near cirrus clouds: a case study in the subtropics. Atmos. Sci. Lett., 17: 639–645. doi:10.1002/asl.714
    9. Kay, J. E., L’Ecuyer, T., Chepfer, H., Loeb, N., Morrison, A. and G. Cesana, 2016: Recent advances in Arctic cloud and climate research, Current Climate Change Reports, DOI: 10.1007/s40641-016-0051-9
    10. Kay, J. E.L. BourdagesN. B. MillerA. MorrisonV. YettellaH. Chepfer, and B. Eaton(2016), Evaluating and improving cloud phase in the Community Atmosphere Model version 5 using spaceborne lidar observationsJ. Geophys. Res. Atmos.12141624176, doi:10.1002/2015JD024699.
    11. Koffi, B., M. Schulz, F.-M. Bréon, F. Dentener, B. M. Steensen, J. Griesfeller, D. Winker, Y. Balkanski, S. E. Bauer, N. Bellouin, T. Berntsen, H. Bian, M. Chin, T. Diehl, R. Easter, S. Ghan, D. A. Hauglustaine, T. Iversen, A. Kirkevåg, X. Liu, U. Lohmann, G. Myhre, P. Rasch, Ø. Seland, R. B. Skeie, S. D. Steenrod, P. Stier, J. Tackett, T. Takemura, K. Tsigaridis, M. R. Vuolo, J. Yoon and Kai Zhang, 2016: “Evaluation of the aerosol vertical distribution in global aerosol models through comparison against CALIOP measurements: AeroCom phase II results”, J. Geophys. Res. Atmos., 121, 7254–7283, doi:10.1002/2015JD024639.
    12. Massie, S. T., Delanoë, J., Bardeen, C. G., Jiang, J. H., and Huang, L.: Changes in the shape of cloud ice water content vertical structure due to aerosol variations, Atmos. Chem. Phys., 16, 6091-6105, doi:10.5194/acp-16-6091-2016, 201
    13. Palerme, C., C. Genthon, C. Claud · J. E. Kay, N. B. Wood, T. L’Ecuyer, 2016. Evaluation of Antarctic precipitation in CMIP5 models, current climate and projections, Clim. Dyn., DOI 10.1007/s00382-016-3071-1.
    14. Quennehen, B., Raut, J.-C., Law, K. S., Daskalakis, N., Ancellet, G., Clerbaux, C., Kim, S.-W., Lund, M. T., Myhre, G., Olivié, D. J. L., Safieddine, S., Skeie, R. B., Thomas, J. L., Tsyro, S., Bazureau, A., Bellouin, N., Hu, M., Kanakidou, M., Klimont, Z., Kupiainen, K., Myriokefalitakis, S., Quaas, J., Rumbold, S. T., Schulz, M., Cherian, R., Shimizu, A., Wang, J., Yoon, S.-C., and Zhu, T.: Multi-model evaluation of short-lived pollutant distributions over east Asia during summer 2008, Atmos. Chem. Phys., 16, 10765-10792, doi:10.5194/acp-16-10765-2016, 2016.
    15. Rea, G., Paton-Walsh, C., Turquety, S., Cope, M., Griffith, D. : Impact of the New South Wales fires during October 2013 on regional air quality in eastern Australia, Atmospheric Environment, 131, 150-163, doi :10.1016/j.atmosenv.2016.01.034, 2016.
    16. Sourdeval, O., L. C. Labonnote, A. J. Baran, J. Mülmenstädt and G. Brogniez, 2016: “A Methodology for Simultaneous Retrieval of Ice and Liquid Water Cloud Properties. Part II: Near-global Retrievals and Evaluation against A-Train Products”, Q. J. Roy. Meteorol. Soc., 142, 3063-3081, doi:10.1002/qj.288
    17. Stein, T. H. M., C. E. Holloway, I. Tobin and S. Bony, 2017: Observed relationships between cloud vertical structure and convective aggregation over tropical ocean. J. Climate, 30 (6), 2187-2207
    18. Toledo, D., Rannou, P., Pommereau, J.-P., Sarkissian, A., and Foujols, T.: Measurement of aerosol optical depth and sub-visual cloud detection using the optical depth sensor (ODS), Atmos. Meas. Tech., 9, 455-467, doi:10.5194/amt-9-455-2016, 2016.

2015 (19)

  1. Bonne J-L., H. C. Steen-Larsen, C. Risi, M. Wermer, H. Sodemann, J-L. Lacour, X. Fettweis, G. Cesana, M. Delmotte, O. Cattani, P. Vallelonga, H. A. Kjaer, C. Clerbaux, A. E. Sveinbjornsdottir, V. Masson-Delmotte, 2015: The summer 2012 Greenland heat wave:in situ and remote sensing observations of water vapour isotopic composition during and atmospheric river event, J. Geophys. Res., doi: 10.1002/2014JD022602
  2. Brient, F., T. Schneider, Z. Tan, S. Bony, X. Qu and A. Hall, 2015: Shallowness of tropical low clouds as a predictor of climate models’ response to warming. Clim. Dyn., 1-17. doi:10.1007/s00382-015-2846-0
  3. Cesana, G., D. E. Waliser, X. Jiang, and J.-L. F. Li, 2015: Multimodel evaluation of cloud phase transition using satellite and reanalysis data, J. Geophys. Res. Atmos., doi:10.1002/2014JD022932
  4. Fauchez, T., Dubuisson, P., Cornet, C., Szczap, F., Garnier, A., Pelon, J., Meyer, K. 2015: Impacts of cloud heterogeneities on cirrus optical properties retrieved from space-based thermal infrared radiometry. Atmos. Meas. Tech. Vol. 8 , p. 633
  5. Feofilov, A. G., Stubenrauch, C. J., and Delanoë, J.: Ice water content vertical profiles of high-level clouds: classification and impact on radiative fluxes, Atmos. Chem. Phys., 15, 12327-12344, doi:10.5194/acp-15-12327-2015, 2015.
  6. Fréville, P; Montoux, N. ; Baray, J.-L. ; Chauvigné, A.; Réveret, F.; Hervo, M.; Dionisi, D.; Payen, G.; Sellegri, K.: LIDAR Developments at Clermont-Ferrand—France for Atmospheric Observation, Sensors, 15, 3041-3069, DOI:10.3390/150203041, 2015.
  7. Garnier, A., Pelon, J., Vaughan, M. A., Winker, D. M., Trepte, C. R., and Dubuisson, P.: Lidar multiple scattering factors inferred from CALIPSO lidar and IIR retrievals of semi-transparent cirrus cloud optical depths over oceans, Atmos. Meas. Tech., 8, 2759-2774, doi:10.5194/amt-8-2759-2015, 2015.
  8. He, Y., C. Risi, J. Gao, V. Masson-Delmotte, T. Yao, C.-T. Lai, Y. Ding, J. Worden, C. Frankenberg, H. Chepfer, and G. Cesana (2015), Impact of atmospheric convection on south Tibet summer precipitation isotopologue composition using a combination of in situ measurements, satellite data, and atmospheric general circulation modeling. J. Geophys. Res. Atmos., 120, 3852–3871. doi: 10.1002/2014JD022180.
  9. Illingworth A., H. W. Barker, A. Beljaars, H. Chepfer, J. Delanoë, C. Domenech, D. P., A.Donovan, S. Fukuda, M. Hirakata, R. J. Hogan, A. Huenerbein P. Kollias, T. Kubota, T. Nakajima, T. Y.Nakajima T. Nishizawa, Y. Ohno, H. Okamoto, R. Oki, K. Sato, M. Satoh, U. Wandinger, T. Wehr, 2015: THE EARTHCARE SATELLITE: The next step forward in global measurements of clouds, aerosols, precipitation and radiation, Bull. Am. Met. Soc, doi: 10.1175/BAMS-D-12-00227.1
  10. Konsta, D., J.-L. Dufresne, H. Chepfer, A. Idelkadi, G. Cesana, 2015: Use of A-Train Satellite Observations (CALIPSO-PARASOL) to evaluate tropical cloud properties in the LMDZ5 GCM. Clim. Dyn. accepted, doi: 10.1007/s00382-015-2900-y
  11. Marelle, L. , Raut, J.-C. , Thomas, J. L., Law, K. S., Quennehen, B., Ancellet, G., Pelon, J. , Schwarzenboeck, A. and Fast, J. D., Transport of anthropogenic and biomass burning aerosols from Europe to the Arctic during spring 2008, ACP, 15, 3831-3850, 2015
  12. Mioche, G., Jourdan, O., Ceccaldi, M., and Delanoë, J.: Variability of mixed-phase clouds in the Arctic with a focus on the Svalbard region: a study based on spaceborne active remote sensing, Atmos. Chem. Phys., 15, 2445-2461, doi:10.5194/acp-15-2445-2015, 2015
  13. Mülmenstädt J., Sourdeval O., Delanoë J., Quaas J. Frequency of occurrence of rain from liquid-, mixed- and ice-phase clouds derived from A-Train satellite retrievals. Geophysical Research Letters, American Geophysical Union, 2015, 42 (15), pp.6502-6509.
  14. Nguyen, H., A. Protat, V. Kumar, S. Rauniyar, M. Whimpey and L. Rikus, 2015: A regional forecast model evaluation of statistical rainfall properties using CPOL radar observations in different precipitation regimes over Darwin, Australia. Quart. J. Roy. Meteor. Soc., doi:10.1002/qj.2525
  15. Peers, F., Waquet, F., Cornet, C., Dubuisson, P., Ducos, F., Goloub, P., Szczap, F., Tanré, D., Thieuleux, F. 2015: Absorption of aerosols above clouds from POLDER/PARASOL measurements and estimation of their direct radiative effect. Atmos. Chem. Phys. Vol. 15 , p. 4179-4196
  16. Rea, G., Turquety, S., Menut, L., Briant, R., Mailler, S., and Siour, G. : Source contributions to 2012 summertime aerosols in the Euro-Mediterranean region, Atmos. Chem. Phys., 15, 8013-8036, doi :10.5194/acp-15-8013-2015, 2015.
  17. Reverdy, M., H. Chepfer, D. Donovan, V. Noel, G. Cesana, C. Hoareau, C. Chiriaco and S. Bastin, 2015: An EarthCARE/ATLID simulator to evaluate cloud description in climate models. J. Geophys. Res. Atmos, 120, 11090-11113. doi: 10.1002/2015JD023919
  18. Vidot, J., A. J. Baran, and P. Brunel (2015), A new ice cloud parameterization for infrared radiative transfer simulation of cloudy radiances: Evaluation and optimization with IIR observations and ice cloud profile retrieval products, J. Geophys. Res. Atmos., 120, 6937–6951, doi:10.1002/2015JD023462.

2014 (19)

  1. Ancellet, G., Pelon, J., Blanchard, Y., Quennehen, B., Bazureau, A., Law, K. S., and Schwarzenboeck, A.: Transport of aerosol to the Arctic: analysis of CALIOP and French aircraft data during the spring 2008 POLARCAT campaign, Atmos. Chem. Phys., 14, 8235-8254, doi:10.5194/acp-14-8235-2014, 2014.
  2. Chiriaco, M., S. Bastin, P. Yiou, M. Haeffelin, J.-C. Dupont, and M. Stéfanon (2014), European heatwave in July 2006: Observations and modeling showing how local processes amplify conducive large-scale conditions, Geophys. Res. Lett., 41, doi:10.1002/2014GL060205.
  3. Chepfer, H., V. Noel, D. Winker, and M. Chiriaco (2014), Where and when will we observe cloud changes due to climate warming?, Geophys. Res. Lett., 41, doi:10.1002/2014GL061792
  4. Couvreux F., F Guichard, A Gounou, D Bouniol, P Peyrillé and M Kohler: Modelling of the thermodynamical diurnal cycle in the lower atmosphere; a joint evaluation of four contrasted regimes in the Tropics over land. Boundary Layer Meteorology 150 (2), 185-214, 2014.
  5. English J.M.; J.E. Kay; A. Gettelman; X. Liu; Y.Wang; Y. Zhang; H. Chepfer, 2014, Contributions of clouds, surface albedos, and mixed-phase ice nucléation schemes to Arctic radiation biases in CAM5, J. of Climate,  27, 5174–5197. doi: 10.1175/JCLI-D-13-00608.1
  6. Fauchez, T., Cornet, C., Szczap, F., Dubuisson, P., Rosambert, T. 2014: Impact of cirrus clouds heterogeneities on top-of-atmosphere thermal infrared radiation. Atmos. Chem. Phys. Vol. 14 , No. 11 , p. 5599-5615
  7. Gayet, J.-F., Shcherbakov, V., Bugliaro, L., Protat, A., Delanoë, J., Pelon, J., and Garnier, A.: Microphysical properties and high ice water content in continental and oceanic mesoscale convective systems and potential implications for commercial aircraft at flight altitude, Atmos. Chem. Phys., 14, 899-912, 2014, doi:10.5194/acp-14-899-2014.
  8. Huang, Y., A. Protat, S. T. Siems, and M. J. Manton, 2014: A-Train Observations of Maritime Mid-latitude Storm Track Cloud Systems: Comparing the Southern Ocean against the North Atlantic. J. Climate, 28, 1920-1939
  9. Jouan, C., Pelon, J., Girard, E., Ancellet, G., Blanchet, J. P., and Delanoë, J.: On the relationship between Arctic ice clouds and polluted air masses over the North Slope of Alaska in April 2008, Atmos. Chem. Phys., 14, 1205-1224, doi:10.5194/acp-14-1205-2014, 2014.
  10. Law, K. S., Andreas Stohl, Patricia K. Quinn, John Burkhart, Jean-Daniel Paris, Charles Brock, Gerard Ancellet, Hanwant B. Singh, Anke Roiger, Hans Schlager, Jack Dibb, Daniel Jacob, Jennie L. Thomas: Arctic Pollution: new insights from POLARCAT-IPY. Bull. Am. Met. Soc. doi:10.1175/BAMS-D-13-00017.1, 2014
  11. Li, Y., D. W. J. Thompson, G. L. Stephens and S. Bony, 2014 : A global survey of the linkages between cloud vertical structure and large-scale climate, J. Geophys. Res., 119, 3770-3792, doi: 10.1002/2013JD020669.
  12. Mason, S. C. Jakob, A. Protat, and J. Delanoë, 2014: Characterising observed mid-topped cloud regimes associated with Southern Ocean shortwave radiation biases. J. Climate, 27, 6189-6203
  13. Noel, V., Chepfer, H., Hoareau, C., Reverdy, M., and Cesana, G.: Effects of solar activity on noise in CALIOP profiles above the South Atlantic Anomaly, Atmos. Meas. Tech., 7, 1597-1603, doi:10.5194/amt-7-1597-2014, 2014.
  14. Palerme, C., J. E. Kay, C. Genthon, T. l’Ecuyer, N. B. Wood, et C. Claud, 2014. How much snow falls over the Antarctic ice sheet? The Cryosphere, 8, 1577-1587, doi:10.5194/tc-8-1577-2014.
  15. Protat, A., S. A. Young, S. McFarlane, T. L’Ecuyer, G. G. Mace, J. Comstock, C. Long, E. Berry, and J. Delanoë, 2014: Reconciling Ground-Based and Space-Based Estimates of the Frequency of Occurrence and Radiative Effect of Clouds around Darwin, Australia, J. Appl. Meteor. Clim., 53, 456-478
  16. Protat, A., S. A. Young, L. Rikus, and M. Whimpey, 2014: Evaluation of the hydrometeor frequency of occurrence in a limited-area numerical weather prediction system using near real-time CloudSat-CALIPSO observations. Quart. J. Roy. Meteor. Soc., 140, 2430-2443
  17. Szczap, F., Gour, Y., Fauchez, T., Cornet, C., Faure, T., Jourdan, O., Penide, G., Dubuisson, P. 2014: A flexible three-dimensional stratocumulus, cumulus and cirrus cloud generator (3DCLOUD) based on drastically simplified atmospheric equations and the Fourier transform framework. Geosci. Model Develop. Vol. 7 , No. 4 , p. 1779-1801.
  18. Sèze, G., Pelon, J., Derrien, M., Le Gléau, H. and Six, B. (2014), Evaluation against CALIPSO lidar observations of the multi-geostationary cloud cover and type dataset assembled in the framework of the Megha-Tropiques mission. Q.J.R. Meteorol. Soc.. doi: 10.1002/qj.2392
  19. Sourdeval, Odran, Laurent C.-Labonnote, Anthony J. Baran and Gerard Brogniez: A methodology for Simultaneaous Retrieval of Ice and Liquid Water Cloud Properties. I: Information Content and Case Study, 2014, QJRMS, doi:10.1002/qj.2405

2013 (17)

  1. Badosa J., M. Haeffelin, H. Chepfer, 2013: Scales of spatial and temporal variation of solar irradiance on Reunion Tropical Island, Solar Energy 88, 42-56, doi:10.1016/j.solener.2012.11.007.
  2. Battaglia A. and J. Delanoë, 2013 : Synergies and complementarities of CloudSat-CALIPSO snow observations. J. Geophys. Res. 118 721-731,doi:10.1029/2012JD018092
  3. Ceccaldi M., J. Delanoë, R. J. Hogan , N. Pounder , A. Protat , J. Pelon, 2013: From CloudSat-CALIPSO to Earth-Care : Evolution of the DARDAR cloud classication and its validation using airborne radar-lidar observations. J. Geophys. Res. 10.1002/jgrd.50579
  4. Cesana G. and H. Chepfer, 2013: Evaluation of the cloud thermodynamic phase in a climate model using CALIPSO-GOCCP, J. Geophys. Res. 118, doi: 10.1002/jgrd.50376.
  5. Chepfer H., G. Cesana, D. Winker, B. Getzewich, and M. Vaughan, 2013: Comparison of two different cloud climatologies derived from CALIOP Level 1 observations: the CALIPSO-ST and the CALIPSO-GOCCP, J. Atmos. Ocean. Tech. 30, 725-744.
  6. Delanoë, J., A. Protat, O. Jourdan, J. Pelon, M. Papazzoni, R. Dupuy, J.-F. Gayet, C. Jouan, 2013 : Comparison of airborne in-situ, airborne radar-lidar, and spaceborne radar-lidar retrievals of polar ice cloud properties sampled during the POLARCAT campaignJ. Atmos. Oceanic Technol.30, 57–73.
  7. Dionisi, D., P. Keckhut, C. Hoareau, N. Montoux, and F. Congeduti, 2013: Cirrus crystal fall velocity estimates using the Match method with ground-based lidars: first investigation through a case study, Atmos. Meas. Tech., 6, 457–470, doi:10.5194/amt-6-457-2013.
  8. Garnier, A., J. Pelon, P. Dubuisson,P. Yang, M. Faivre, O. Chomette, P. Lucker, 2013 : Retrieval of cloud properties using CALIPSO Imaging Infrared Radiometer. Part II: effective diameter and ice water path. J. Appl. Met. Clim. 52, 2582–2599.
  9. Keckhut P, Perrin J, Thuillier G, Hoareau C, Porteneuve J, Montoux N; Subgrid-scale cirrus observed by lidar at mid-latitude: variability effects of the cloud optical depth. J. Appl. Remote Sens. 0001;7(1):073530-073530.  doi:10.1117/1.JRS.7.073530.
  10. Hoareau, C., Keckhut, P., Noel, V., Chepfer, H., and Baray, J.-L.: A decadal cirrus clouds climatology from ground-based and spaceborne lidars above the south of France (43.9° N–5.7° E), Atmos. Chem. Phys., 13, 6951-6963, doi:10.5194/acp-13-6951-2013, 2013.
  11. Protat, A., S. A. Young, S. McFarlane, T. L’Ecuyer, G. G. Mace, J. Comstock, C. Long, E. Berry, and J. Delanoë, 2013: Reconciling Ground-Based and Space-Based Estimates of the Frequency of Occurrence and Radiative Effect of Clouds around Darwin, Australia, J. Appl. Meteor. Clim, doi: 10.1175/JAMC-D-13-072.1.
  12. Roehrig, R., Bouniol, D., Guichard, F., Hourdin, F., Redelsperger, J.-L. 2013: The present and future of the West African monsoon: a process-oriented assessment of CMIP5 simulations along the AMMA transectJournal of Climate, 26, 6471-6505.
  13. Sourdeval, O., -Labonnote, L. C., Brogniez, G., Jourdan, O., Pelon, J., and Garnier, A.: A variational approach for retrieving ice cloud properties from infrared measurements: application in the context of two IIR validation campaigns, Atmos. Chem. Phys., 13, 8229-8244, doi:10.5194/acp-13-8229-2013, 2013.
  14. Stubenrauch, C.J., W. B. Rossow, S. Kinne, S. Ackerman, G. Cesana, H. Chepfer, L. Di Girolamo5,B. Getzewich, A. Guignard, A. Heidinger, B. Maddux, W. P. Menzel, P. Minnis, C. Pearl, S. Platnick, C. Poulsen,  J. Riedi, S. Sun-Mack, A. Walther, D. Winker, S. Zeng, G. Zhao, 2013: Assessment of global cloud datasets from satellites: Project and Database initiated by the GEWEX Radiation Panel, Bull. Am. Met. Soc., doi:10.1175/BAMS-D-12-00117, 94, 1031-1049.
  15. Szczap , C. Cornet , A. Alqassem , Y. Gour , L. C.-Labonnote and O. Jourdan, 2013: A 3D Polarized Monte Carlo LIDAR System Simulator for Studying Effects of Cirrus Inhomogeneities on CALIOP/CALIPSO Measurements. in Proceedings of the Int. Rad. Symp. 2012. In press
  16. Thuillier, G., J-M. Perrin, P. Keckhut, and F. Huppert, 2013: Local enhanced solar irradiance on the ground generated by cirrus: measurements and interpretation, J. Atmos. Rem. Sens. in press
  17. Vernier J.P., T. D. Fairlie, J. J. Murray, A. Tupper, C. Trepte, D. Winker, J. Pelon, A. Garnier, J. Jumelet, M. Pavolonis, A.H. Omar and K.A. Powell, 2013: An advanced system to monitor the 3D structure of diffuse volcanic ash clouds, J. Appl. Meteor. Climatol. 52, 2125–2138.

2012 (19)

  1. Bouniol, D., Couvreux, F., Kamsu-Tamo, P.-H., Leplay, M., Guichard, F., Favot, F., O’Connor, E.J., 2012: Diurnal and Seasonal Cycles of Cloud Occurrences, Types, and Radiative Impact over West AfricaJ. Appl. Meteorol. Climat. 51 (3), 534-553.
  2. Cesana, G., J.E. Kay, H. Chepfer, J.M. English and G. de Boer (2012), Ubiquitous low-level liquid-containing Arctic cloud: New observations and climate model constraints from CALIPSO-GOCCP, Geophys. Res. Lett. 39, L20804, doi:10/1029/2012GL053385.
  3. Cesana G. and H. Chepfer (2012), How well do climate models simulate the cloud vertical structure? – a comparison between CALIPSO-GOCCP satellite observations and CMIP5 simulations, Geophys. Res. Lett., doi:10.1029/2012GL053153.
  4. Garnier, A., J. Pelon, P. Dubuisson, M. Faivre, O. Chomette, N. Pascal, D. P. Kratz, 2012: Retrieval of cloud properties using CALIPSO Imaging Infrared Radiometer. Part I: effective emissivity and optical depth, J. Appl. Meteor. Climatol.,51, 1407-1425.
  5. Gazeaux, J., Bekki, S., Naveau, P., Keckhut, P., Jumelet, J., Parades, J., and David, C. 2012: Detection of particle layers in backscatter profiles: application to Antarctic lidar measurements, Atmos. Chem. Phys., 12, 3205-3217, doi:10.5194/acp-12-3205-2012
  6. Guignard, A., C. J. Stubenrauch, A. J. Baran, and R. Armante, 2012: Bulk microphysical properties of semi-transparent cirrus from AIRS: a six year global climatology and statistical analysis in synergy with geometrical profiling data from CloudSat-CALIPSO, Atmos. Chem. Phys., 12(1), 503–525, doi:10.5194/acp-12-503-2012.
  7. Hoareau, C., Keckhut, P., Baray, J.-L., Robert, L., Courcoux, Y., Porteneuve, J., Vömel, H., and Morel, B.: A Raman lidar at La Reunion (20.8° S, 55.5° E) for monitoring water vapour and cirrus distributions in the subtropical upper troposphere: preliminary analyses and description of a future system, Atmos. Meas. Tech., 5, 1333-1348, doi:10.5194/amt-5-1333-2012, 2012.
  8. Huang, Y., S. T. Siems, M. J. Manton, A. Protat, and J. Delanoë, A study on the low-altitude clouds over the Southern Ocean using the DARDAR-MASK, J. Geophys. Res. 117 (D18),2012, doi:10.1029/2012JD017800.
  9. Josset, D., J. Pelon, A. Garnier, Y-X. Hu, M. Vaughan, P. Zhai, R. Kuehn, and P. Lucker, 2012: Cirrus optical depth and lidar ratio retrieval from combined CALIPSO-CloudSat observations using ocean surface echo, J. Geophys. Res. 117, D05207, doi:10.1029/2011JD016959.
  10. Jouan C., E. Girard, J. Pelon, I. Gultepe, J. Delanoë, and J.-P. Blanchet, 2012: Characterization of Arctic ice cloud properties observed during ISDAC. J. Geophys. Res. 117 (D23), doi: 10.1029/2012JD017889.
  11. Konsta D., H. Chepfer, JL Dufresne, 2012: A process oriented characterization of tropical oceanic clouds for climate model evaluation, based on a statistical analysis of daytime A-train observations, Climate Dynamics 39 2091-2108, DOI: 10.1007/s00382-012-1533-7
  12. Nam C., S. Bony, JL Dufresne, H. Chepfer, 2012: The ‘too few, too bright’ tropical low-cloud problem in CMIP5 models, Geophys. Res. Lett. 39 (21), doi:10.1029/2012GL053421.
  13. Noel, V. and M. Pitts. 2012. Gravity wave events from mesoscale simulations, compared to polar stratospheric clouds observed from spaceborne lidar over the Antarctic Peninsula. J. Geophys. Res. 117, D11207.
  14. Noel V., H. Chepfer, C. Stubenrauch, 2012: Calipso, des cristaux dans le ciel. La Météorologie, 77, 41-47.
  15. Quennehen B., A. Schwarzenboeck, A. Matsuki, J. F. Burkhart, A. Stohl, Gérard Ancellet, K. S. Law, 2012: Anthropogenic and forest fire pollution aerosol transported to the Arctic: observations from the POLARCAT-France spring campaign, Atmos. Chem. Phys., 12(4), 6437-6454, doi: 10.5194/acp-12-6437-2012
  16. Reverdy M., V. Noel, H. Chepfer, B. Legras, 2012: On the origins of subvisible cirrus clouds in the tropical upper troposphere. Atmos. Chem. Phys. 12 12081-12101, doi: 10.5194/acp-12-12081-2012
  17. Sourdeval O., G. Brogniez, J. Pelon, L. C.-Labonnote, P. Dubuisson, F. Parol, D. Josset, A. Garnier, M. Faivre, A. Minikin, 2012, Validation of IIR/Calipso level 1 measurements by comparison with collocated airborne observations during ‘Circle-2’ and ‘Biscay 08’ campaigns, J. Atmos. Oceanic Technol., 29, 653-667. doi: 10.1175/JTECH-D-11-00143.1.
  18. Stromatas S., S. Turquety, L. Menut, H. Chepfer, G. Cesana, J.-C. Pere, and B. Bessagnet 2012: Lidar Signal Simulation for the Evaluation of Aerosols in Chemistry-Transport Models, Geosci. Model Dev. 5, 1543-1564.
  19. Zhao, C., S. Xie, S. A. Klein, A. Protat, M. D. Shupe, S. A. McFarlane, J. M. Comstock, J. Delanoë, M. Deng, M. Dunn, R. J. Hogan, D. Huang, M. P. Jensen, G. G. Mace, R. McCoy, E. J. O’Connor, D. D. Turner, and Z. Wang, Toward understanding of differences in current cloud retrievals of ARM ground-based measurements, J. Geophys. Res., 117, D10206, 2012, doi:10.1029/2011JD016792.

2011 (8)

  1. Bodas-Salcedo A., M. J. Webb, S. Bony, H. Chepfer, J.-L. Dufresne, S. A. Klein, Y. Zhang, R. Marchand, J. M. Haynes, R. Pincus, V. O. John, 2011: COSP: satellite simulation software for model assessment, Bull. Am. Meteo. Soc., 10.1175/2011BAMS2856.1
  2. Chaboureau JP, Richard E, Pinty JP, Cyrille Flamant, Paolo Di Girolamo, Christoph Kiemle, Andreas Behrendt, Hélène Chepfer, Marjolaine Chiriaco and Volker Wulfmeyert, 2011: Long-range transport of Saharan dust and its radiative impact on precipitation forecast: a case study during the Convective and Orographically-induced Precipitation Study (COPS), Q. J. Roy. Met. Soc., Vol. 137, DOI: 10.1002/qj.719
  3. Delanoë J., Hogan R. J., Forbes R. M., Bodas-Salcedo A., Stein T. H. M. 2011: Evaluation of ice cloud representation in the ECMWF and UK Met Office models using CloudSat and CALIPSO data. Q. J.  Roy. Met. Soc. 137, 661 2064-2078
  4. Martins, E., V. Noel, and H. Chepfer, 2011: Properties of cirrus and subvisible cirrus from nighttime CALIOP, related to atmospheric dynamics and water vapor, J. Geophys. Res., 116, D02208, doi:10.1029/2010JD014519.
  5. Protat, A., D. Bouniol, E. J. O’Connor, H. K. Baltink, J. Verlinde, and K. Widener, 2011: CloudSat as a Global Radar Calibrator. J. Atmos. Oceanic Tech., 28 (3), 445-452
  6. Stein, T. H. M., D. J. Parker, J. Delanoë, N. S. Dixon, R. J. Hogan, P. Knippertz, R. I. Maidment, and J. H. Marsham, 2011: The vertical cloud structure of the West African monsoon: A 4 year climatology using CloudSat and CALIPSOJ. Geophys. Res., 116, D22205, doi:10.1029/2011JD016029
  7. Stein, T.H.M., Delanoë, J., and Hogan, R.J., 2011: A comparison between four different retrieval methods for ice cloud properties using data from CloudSat, CALIPSO, and MODIS, J.Appl.Met.Clim., Vol.50, pp.1952-1969.
  8. Vernier, J.-P., Pommereau, J.-P., Thomason, L. W., Pelon, J., Garnier, A., Deshler, T., Jumelet, J., and Nielsen, J. K., 2011: Overshooting of clean tropospheric air in the tropical lower stratosphere as seen by the CALIPSO lidar, Atmos. Chem. Phys., 11, 9683-9696, doi:10.5194/acp-11-9683-2011

2010 (19)

  1. Bou Karam, D., C. Flamant, J. Cuesta, J. Pelon, and E. Williams, 2010: Dust emission and transport associated with a Saharan depression: February 2007 case, J. Geophys. Res. 115, D00H27, doi:10.1029/2009JD012390.
  2. Chepfer, H., S. Bony, D. Winker, G. Cesana, J. L. Dufresne, P. Minnis, C. J. Stubenrauch, and S. Zeng, 2010: The GCM Oriented CALIPSO Cloud Product (CALIPSO-GOCCP), J. Geophys. Res., 115, D00H16, doi:10.1029/2009JD012251.
  3. de Villiers, R. A., G. Ancellet, J. Pelon, B. Quennehen, A. Scharwzenboeck, J-F. Gayet, and K. S. Law, 2010: Airborne measurements of aerosol optical properties related to early spring transport of mid-latitude sources into the Arctic, Atmos. Chem. Phys., 10, 5011-5030, doi:10.5194/acp-10-5011-2010
  4. Delanoë, J., and R. J. Hogan, 2010: Combined CloudSat-CALIPSO-MODIS retrievals of the properties of ice clouds, J. Geophys. Res., 115, D00H29, doi:10.1029/2009JD012346
  5. Dupont, J.-C., M. Haeffelin, Y. Morille, V. Noel, P. Keckhut, D. Winker, J. Comstock, P. Chervet, and A. Roblin, 2010: Macrophysical and optical properties of midlatitude cirrus clouds from 4 ground-based lidars and collocated CALIOP observations, J. Geophys. Res., 115, D00H24, doi:10.1029/2009JD011943.
  6. Josset, D., J. Pelon, and Y. Hu, 2010: “Multi-instrument calibration method based on a multiwavelength ocean surface model”, IEEE Geosci. Remote Sens. Lett., 7, 195-199, doi:10.1109/LGRS.2009.2030906.
  7. Josset, D., P-W. Zhai, Y. Hu, J. Pelon, and P. L. Lucker, 2010: “Lidar equation for ocean surface and subsurface”, Opt. Express, 18, 20862-20875, doi:10.1364/OE.18.020862.
  8. Lemaître, C., C. Flamant, J. Cuesta, J.-C. Raut, P. Chazette, P. Formenti, and J. Pelon, 2010: “Radiative forcing associated with a springtime case of Bodélé and Sudan dust transport over West Africa”, Atmos. Chem. Phys., 10, 8131-8150, doi:10.5194/acp-10-8131-2010
  9. X. Liu, E. D.  Rivière, V. Marecal, G. Durry, A. Hamdouni, J. Arteta, S. Khaykin, Stratospheric water vapour budget and convection overshooting the tropopause: modelling study from SCOUT-AMMA, Atmos. Chem. Phys., 10, 8267-8286, 2010.
  10. Mioche, G., D. Josset, J.-F. Gayet, J. Pelon, A. Garnier, A. Minikin, and A. Schwarzenboeck, 2010: “Validation of the CALIPSO/CALIOP extinction coefficients from in situ observations in mid-latitude cirrus clouds during CIRCLE-2 experiment”, J. Geophys. Res., 115, D00H25, doi:10.1029/2009JD012376.
  11. Montoux, N., P. Keckhut, A. Hauchecorne, J. Jumelet, H. Brogniez, and C. David (2010),Isentropic modeling of a cirrus cloud event observed in the midlatitude upper troposphere and lower stratosphere, J. Geophys. Res., 115, D02202, doi:10.1029/2009JD011981.
  12. Noel, V. and H. Chepfer, 2010: “A global view of horizontally-oriented crystals in ice clouds from CALIPSO”, J. Geophys. Res., 115, D00H23, doi:10.1029/2009JD012365.
  13. Peyridieu S., A. Chédin, D. Tanré , V. Capelle, C. Pierangelo, N. Lamquin and R. Armante:
    “Saharan dust infrared optical depth and altitude retrieved from AIRS: a focus over North Atlantic – Comparison to MODIS and CALIPSO”, Atmos. Chem. Phys., 10, 1953-1967 (2010)
  14. Protat, A., J. Delanoë, E. J. O“Connor, and T. S. L”Ecuyer, 2010: “The evaluation of CloudSat and CALIPSO ice microphysical products using ground-based cloud radar and lidar observations”, J. Atmos. Oceanic Technol., 27, 793-810, doi:10.1175/2009JTECHA1397.1.
  15. Protat, A., D. Bouniol, E. J. O’Connor, H. K. Baltink, J. Verlinde, and K. Widener, 2010b: CloudSat as a Global Radar Calibrator. J. Atmos. Oceanic Tech., doi:10.1175/2010JTECHA1443.1, In Press
  16. Protat, A., L. Rikus, S. Young, J. Le Marshall, P. May, and M. Whimpey, 2010: “Evaluation of ACCESS-A Clouds and Convection using Near Real-Time CloudSat-CALIPSO Observations”, CAWCR Research Letters, 4, 27-33, ISSN: 1836-5949
  17. Protat, A., J. Delanoë, E. O’Connor, and T. L’Ecuyer, 2010: The evaluation of CloudSat-derived ice microphysical products using ground-based cloud radar and lidar observations. J. Atmos. Oceanic Tech., 27, 793-810.
  18. Stubenrauch, C. J., S. Cros, A. Guignard, and N. Lamquin, 2010: “A 6-year global cloud climatology from the Atmospheric InfraRed Sounder AIRS and a statistical analysis in synergy with CALIPSO and CloudSat”, Atmos. Chem. Phys., 10, 7197-7214, doi:10.5194/acp-10-7197-2010
  19. Winker, D. M., J. Pelon, J. A. Coakley, Jr., S. A. Ackerman, R. J. Charlson, P. R. Colarco, P. Flamant, Q. Fu, R. Hoff, C. Kittaka, T. L. Kubar, H. LeTreut, M. P. McCormick, G. Megie, L. Poole, K. Powell, C. Trepte, M. A. Vaughan, B. A. Wielicki, 2010: “The CALIPSO Mission: A Global 3D View Of Aerosols And Clouds”, Bull. Am. Meteorol. Soc., 91, 1211-1229, doi:10.1175/2010BAMS3009.1.

2009

  1. Bou Karam, D., C. Flamant, P. Tulet, M. C. Todd, J. Pelon, and E. Williams, 2009: “Dry cyclogenesis and dust mobilization in the intertropical discontinuity of the West African Monsoon: A case study”, J. Geophys. Res., 114, D05115, doi:10.1029/2008JD010952.
  2. Chepfer, H., and V. Noel, 2009: “A tropical ‘NAT-like’ belt observed from space”, Geophys. Res. Lett., 36, L03813, doi:10.1029/2008GL036289.
  3. Dupont, J.-C., Haeffelin, M., and Long, C. N 2009.: Cirrus cloud radiative effect on surface-level shortwave and longwave irradiances at regional and global scale, Atmos. Chem. Phys. Discuss., 9, 26777-26832, doi:10.5194/acpd-9-26777-2009
  4. Flamant, C., C. Lavaysse, M. C. Todd, J.-P. Chaboureau and J. Pelon, 2009: “Multi-platform observations of a springtime case of Bodélé and Sudan dust emission, transport and scavenging over West Africa”, Q. J. R. Meteorol. Soc., 135, 413-430, doi:10.1002/qj.376
  5. Jumelet, J., S. Bekki, P. Seifert, N. Montoux, J.-P. Vernier, and J. Pelon, 2009: “Microphysical modeling of a midlatitude “polar stratospheric cloud” event: Comparisons against multiwavelength ground-based and spaceborne lidar data, J. Geophys. Res., 114, D00H03, doi:10.1029/2009JD011776.
  6. Lamquin, N., K. Gierens, C. J. Stubenrauch, and R. Chatterjee, 2009: “Evaluation of upper tropospheric humidity forecasts from ECMWF using AIRS and CALIPSO data”, Atmos. Chem. Phys., 9, 1779-1793
  7. Noel , V. and H. Chepfer, 2009: “Reply to comment by Poole et al. on ‘A tropical ‘NAT-like’ belt observed from space’”, Geophys. Res. Lett., 36, L20804, doi:10.1029/2009GL039689
  8. Protat, A., Bouniol, D., Delanoë, J., May, P., Plana-Fattori, A., Hasson, A., O’Connor, E., Görsdorf, U., Heymsfield, A., 2009: Assessment of CloudSat reflectivity measurements and ice cloud properties using ground-based and airborne cloud radar observations. J. Atmos. Oceanic Technol., 26, 1717-1741.
  9. Vernier, J. P., J. P. Pommereau, A. Garnier, J. Pelon, N. Larsen, J. Nielsen, T. Christensen, F. Cairo, L. W. Thomason, T. Leblanc, and I. S. McDermid, 2009: “The tropical stratospheric aerosol layer from CALIPSO lidar observations”, J. Geophys. Res., 114, D00H10, doi:10.1029/2009JD011946.
  10. Vuolo, M. R., H. Chepfer, L. Menut, and G. Cesana, 2009: “Comparison of mineral dust layers vertical structures modeled with Chimere-Dust and observed with the CALIOP lidar”, J. Geophys. Res., 114, D09214, doi:10.1029/2008JD011219.

2008

  1. Berthier, S., Chazette, P., Pelon, J., and Baum, B., 2008: “Comparison of cloud statistics from spaceborne lidar systems”, Atmos. Chem. Phys., 8, 6965-6977
  2. Bessagnet B., L. Menut, G. Aymoz, H. Chepfer, and R. Vautard, 2008: “Modeling dust emissions and transport within Europe: The Ukraine March 2007 event”, J. Geophys. Res., 113, D15202, doi:10.1029/2007JD009541.
  3. Bouniol, D., Protat, A., Plana-Fattori, A., Giraud, M., Grand, N., Vinson, J.-P., 2008: Comparison of airborne and spaceborne 95 GHz radar reflectivity and evaluation of multiple scattering effect in spaceborne measurements. J. Atmos. Oceanic Technol., 25(11), 1983-1995.
  4. Chepfer, H., S. Bony, D. M. Winker, M. Chiriaco, J.-L. Dufresne, and G. Seze, 2008: “Use of CALIPSO lidar observations to evaluate the cloudiness simulated by a climate model”, Geophys. Res. Lett., 35, L15704, doi:10.1029/2008GL034207.
  5. Delanoë, J., and R. J. Hogan, 2008: A variational scheme for retrieving ice cloud properties from combined radar, lidar, and infrared radiometer, J. Geophys. Res., 113, D07204, doi:10.1029/2007JD009000.
  6. Dubuisson, P., V. Giraud, J. Pelon, B. Cadet, and P. Yang, 2008: “Sensitivity of Thermal Infrared Radiation at the Top of the Atmosphere and the Surface to Ice Cloud Microphysics”, J. Appl. Meteor. Climatol., 47, 2545-2560
  7. Heymsfield, A. J., A. Protat, R. T. Austin, D. Bouniol, R. J. Hogan, J. Delanoee, H. Okamoto, K. Sato, G. van Zadelhoff, D. P. Donovan, and Z. Wang, 2008: “Testing IWC Retrieval Methods Using Radar and Ancillary Measurements with In Situ Data”, J. Appl. Meteorol. Climatol., 47, 135-163.
  8. Hu, Y., K. Stamnes, M. Vaughan, J. Pelon, C. Weimer, D. Wu, M. Cisewski, W. Sun, P. Yang, B. Lin, A. Omar, D. Flittner, C. Hostetler, C. Trepte, D. Winker, G. Gibson, and M. Santa-Maria, 2008: “Sea surface wind speed estimation from space-based lidar measurements”, Atmos. Chem. Phys., 8, 3593-3601
  9. Josset, D., J. Pelon, A. Protat, and C. Flamant, 2008, “New approach to determine aerosol optical depth from combined CALIPSO and CloudSat ocean surface echoes”, Geophys. Res. Lett., 35, L10805, doi:10.1029/2008GL033442.
  10. Lamquin, N., C. J. Stubenrauch, and J. Pelon, 2008: “Upper tropospheric humidity and cirrus geometrical and optical thickness: relationships inferred from one year of collocated AIRS and CALIPSO data”, J. Geophys. Res., 113, D00A08, doi:10.1029/2008JD010012
  11. Noel, V., A. Hertzog, H. Chepfer, and D. M. Winker, 2008: “Polar stratospheric clouds over Antarctica from the CALIPSO spaceborne lidar”, J. Geophys. Res., 113, D02205, doi:10.1029/ 2007JD008616.
  12. Noel, V., A. Hertzog, and H. Chepfer, 2008: “CALIPSO observations of wave-induced PSCs with near-unity optical depth over Antarctica in 2006-2007”, J. Geophys. Res., 114, D05202, doi:10.1029/2008JD010604.
  13. Stubenrauch, C. J., S. Cros, N. Lamquin, R. Armante, A. Chédin, C. Crevoisier and N. A. Scott, 2008 : “Cloud properties from Atmospheric Infrared Sounder and evaluation with Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Oservations”, J. Geophys. Res., 113, D00A10, doi:10.1029/2008JD009928.

2007

  1. Chiriaco, M. et al. (2007), Comparison of CALIPSO-Like, LaRC, and MODIS Retrievals of Ice-Cloud Properties over SIRTA in France and Florida during CRYSTAL-FACE, Journal of Applied Meteorology and Climatology, 46(3), 249-272, doi:10.1175/JAM2435.1.
  2. Noel, V., D. M. Winker, T. J. Garrett, and M. McGill (2007), Extinction coefficients retrieved in deep tropical ice clouds from lidar observations using a CALIPSO-like algorithm compared to in-situ measurements from the cloud integrating nephelometer during CRYSTAL-FACE, ACP, 7(5), 1415-1422.

2006

  1. Hu, Y., Z. Liu, D. Winker, M. Vaughan, V. Noel, L. R. Bissonnette, G. Roy, and M. McGill (2006), Simple relation between lidar multiple scattering and depolarization for water clouds., Opt. Lett., 31(12), 1809-1811, doi:10.1364/OL.31.001809.

 

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