Organization
Université des Sciences et Technologies de Lille
Email
Business Address
Laboratoire d’Optique Atmosphérique
Villeneuve d’Ascq
France
First Author Publications
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Riedi, J., et al. (2010), Cloud thermodynamic phase inferred from merged POLDER and MODIS data, Atmos. Chem. Phys., 10, 11851-11865, doi:10.5194/acp-10-11851-2010.
Note: Only publications that have been uploaded to the ESD Publications database are listed here.
Co-Authored Publications
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van Diedenhoven, B., et al. (2020), Global Statistics of Ice Microphysical and Optical Properties at Tops of Optically Thick Ice Clouds, J. Geophys. Res., 125, doi:10.1029/2019JD031811.
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Platnick, S.E., et al. (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.
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Hioki, S., et al. (2016), Degree of ice particle surface roughness inferred from polarimetric observations, Atmos. Chem. Phys., 16, 7545-7558, doi:10.5194/acp-16-7545-2016.
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Merlin, G., et al. (2016), Cloud information content analysis of multi-angular measurements in the oxygen A-band: Application to 3MI and MSPI, Atmos. Meas. Tech., 9, 4977-4995, doi:10.5194/amt-9-4977-2016.
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Cho, H., et al. (2015), Frequency and causes of failed MODIS cloud property retrievals for liquid phase clouds over global oceans, J. Geophys. Res., 120, doi:10.1002/2015JD023161.
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Zeng, S., et al. (2014), Study of global cloud droplet number concentration with A-Train satellites, Atmos. Chem. Phys., 14, 7125-7134, doi:10.5194/acp-14-7125-2014.
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Cole, B., et al. (2013), Comparison of PARASOL Observations with Polarized Reflectances Simulated Using Different Ice Habit Mixtures, J. Appl. Meteor. Climat., 52, 186-196, doi:10.1175/JAMC-D-12-097.1.
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Stubenrauch, C.J., et al. (2013), Assessment Of Global Cloud Datasets From Satellites: Project and Database Initiated by the GEWEX Radiation Panel, Bull. Am. Meteorol. Soc., 1031-1049, doi:10.1175/BAMS-D-12-00117.1.
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Waquet, F., et al. (2013), Retrieval of aerosol microphysical and optical properties above liquid clouds from POLDER/PARASOL polarization measurements, Atmos. Meas. Tech., 6, 991-1016, doi:10.5194/amt-6-991-2013.
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Ferlay, N., et al. (2010), Toward New Inferences about Cloud Structures from Multidirectional Measurements in the Oxygen A Band: Middle-of-Cloud Pressure and Cloud Geometrical Thickness from POLDER-3/PARASOL, J. Appl. Meteor. Climat., 49, 2492-2507, doi:10.1175/2010JAMC2550.1.
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Waquet, F., et al. (2009), Aerosol Remote Sensing over Clouds Using A-Train Observations, J. Atmos. Sci., 66, 2468-2480, doi:10.1175/2009JAS3026.1.
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Zhang, Z., et al. (2009), Influence of ice particle model on satellite ice cloud retrieval: lessons learned from MODIS and POLDER cloud product comparison, Atmos. Chem. Phys., 9, 7115-7129, doi:10.5194/acp-9-7115-2009.
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King, M.D., et al. (2004), Remote Sensing of Liquid Water and Ice Cloud Optical Thickness and Effective Radius in the Arctic: Application of Airborne Multispectral MAS Data, J. Atmos. Oceanic Technol., 21, 857-875.
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Platnick, S.E., et al. (2003), The MODIS cloud products: Algorithms and examples From Terra, IEEE Trans. Geosci. Remote Sens., 41, 459-473, doi:10.1109/TGRS.2002.808301.
Note: Only publications that have been uploaded to the ESD Publications database are listed here.
