Articles | Volume 16, issue 12
https://doi.org/10.5194/acp-16-7545-2016
https://doi.org/10.5194/acp-16-7545-2016
Research article
 | 
21 Jun 2016
Research article |  | 21 Jun 2016

Degree of ice particle surface roughness inferred from polarimetric observations

Souichiro Hioki, Ping Yang, Bryan A. Baum, Steven Platnick, Kerry G. Meyer, Michael D. King, and Jerome Riedi

Related authors

Strength of TROPOMI satellite observations in retrieving hourly resolved sources of volcanic sulfur dioxide by inverse modeling
Abhinna K. Behera, Marie Boichu, François Thieuleux, Nicolas Henriot, and Souichiro Hioki
EGUsphere, https://doi.org/10.5194/egusphere-2023-2545,https://doi.org/10.5194/egusphere-2023-2545, 2023
Preprint archived
Short summary
Establishment of an analytical model for remote sensing of typical stratocumulus cloud profiles under various precipitation and entrainment conditions
Huazhe Shang, Souichiro Hioki, Guillaume Penide, Céline Cornet, Husi Letu, and Jérôme Riedi
Atmos. Chem. Phys., 23, 2729–2746, https://doi.org/10.5194/acp-23-2729-2023,https://doi.org/10.5194/acp-23-2729-2023, 2023
Short summary
A study of polarimetric error induced by satellite motion: application to the 3MI and similar sensors
Souichiro Hioki, Jérôme Riedi, and Mohamed S. Djellali
Atmos. Meas. Tech., 14, 1801–1816, https://doi.org/10.5194/amt-14-1801-2021,https://doi.org/10.5194/amt-14-1801-2021, 2021
Short summary

Related subject area

Subject: Clouds and Precipitation | Research Activity: Remote Sensing | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
Air mass history linked to the development of Arctic mixed-phase clouds
Rebecca J. Murray-Watson and Edward Gryspeerdt
Atmos. Chem. Phys., 24, 11115–11132, https://doi.org/10.5194/acp-24-11115-2024,https://doi.org/10.5194/acp-24-11115-2024, 2024
Short summary
Distinct structure, radiative effects, and precipitation characteristics of deep convection systems in the Tibetan Plateau compared to the tropical Indian Ocean
Yuxin Zhao, Jiming Li, Deyu Wen, Yarong Li, Yuan Wang, and Jianping Huang
Atmos. Chem. Phys., 24, 9435–9457, https://doi.org/10.5194/acp-24-9435-2024,https://doi.org/10.5194/acp-24-9435-2024, 2024
Short summary
The correlation between Arctic sea ice, cloud phase and radiation using A-Train satellites
Grégory V. Cesana, Olivia Pierpaoli, Matteo Ottaviani, Linh Vu, Zhonghai Jin, and Israel Silber
Atmos. Chem. Phys., 24, 7899–7909, https://doi.org/10.5194/acp-24-7899-2024,https://doi.org/10.5194/acp-24-7899-2024, 2024
Short summary
Technical note: Retrieval of the supercooled liquid fraction in mixed-phase clouds from Himawari-8 observations
Ziming Wang, Husi Letu, Huazhe Shang, and Luca Bugliaro
Atmos. Chem. Phys., 24, 7559–7574, https://doi.org/10.5194/acp-24-7559-2024,https://doi.org/10.5194/acp-24-7559-2024, 2024
Short summary
Characterisation of low-base and mid-base clouds and their thermodynamic phase over the Southern Ocean and Arctic marine regions
Barbara Dietel, Odran Sourdeval, and Corinna Hoose
Atmos. Chem. Phys., 24, 7359–7383, https://doi.org/10.5194/acp-24-7359-2024,https://doi.org/10.5194/acp-24-7359-2024, 2024
Short summary

Cited articles

Baran, A. J. and C.-Labonnote, L.: A self-consistent scattering model for cirrus. I: The solar region, Q. J. Roy. Meteor. Soc., 133, 1899–1912, 2007.
Baran, A. J. and Francis, P. N.: On the radiative properties of cirrus cloud at solar and thermal wavelengths: A test of model consistency using high-resolution airborne radiance measurements, Q. J. Roy. Meteor. Soc., 130, 763–778, https://doi.org/10.1256/qj.03.151, 2004.
Baran, A. J. and C.-Labonnote, L.: On the reflection and polarisation properties of ice cloud, J. Quant. Spectrosc. Ra., 100, 41–54, 2006.
Baum, B. A., Yang, P., Hu, Y. X., and Feng, Q.: The impact of ice particle roughness on the scattering phase matrix, J. Quant. Spectrosc. Ra., 111, 2534–2549, 2010.
Buriez, J. C., Vanbauce, C., Parol, F., Goloub, P., Herman, M., Bonnel, B., Fouquart, Y., Couvert, P., and Seze, G.: Cloud detection and derivation of cloud properties from POLDER, Int. J. Remote Sens., 18, 2785–2813, https://doi.org/10.1080/014311697217332, 1997.
Download
Short summary
The degree of surface roughness of ice particles within thick, cold ice clouds is inferred from multi-directional, multi-spectral satellite polarimetric observations over oceans, assuming a column-aggregate particle habit. An improved roughness inference scheme is employed, which provides a more noise-resilient roughness estimate than the conventional approach. A global one-month data sample shows the use and the limit of a severely roughened ice habit to simulate the polarized reflectivity.
Altmetrics
Final-revised paper
Preprint