Articles | Volume 16, issue 12
Atmos. Chem. Phys., 16, 7545–7558, 2016
https://doi.org/10.5194/acp-16-7545-2016
Atmos. Chem. Phys., 16, 7545–7558, 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 et al.

Related authors

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)
How frequent is natural cloud seeding from ice cloud layers ( < −35 °C) over Switzerland?
Ulrike Proske, Verena Bessenbacher, Zane Dedekind, Ulrike Lohmann, and David Neubauer
Atmos. Chem. Phys., 21, 5195–5216, https://doi.org/10.5194/acp-21-5195-2021,https://doi.org/10.5194/acp-21-5195-2021, 2021
Short summary
Processes contributing to cloud dissipation and formation events on the North Slope of Alaska
Joseph Sedlar, Adele Igel, and Hagen Telg
Atmos. Chem. Phys., 21, 4149–4167, https://doi.org/10.5194/acp-21-4149-2021,https://doi.org/10.5194/acp-21-4149-2021, 2021
Characterisation and surface radiative impact of Arctic low clouds from the IAOOS field experiment
Julia Maillard, François Ravetta, Jean-Christophe Raut, Vincent Mariage, and Jacques Pelon
Atmos. Chem. Phys., 21, 4079–4101, https://doi.org/10.5194/acp-21-4079-2021,https://doi.org/10.5194/acp-21-4079-2021, 2021
Short summary
A-Train estimates of the sensitivity of the cloud-to-rainwater ratio to cloud size, relative humidity, and aerosols
Kevin M. Smalley and Anita D. Rapp
Atmos. Chem. Phys., 21, 2765–2779, https://doi.org/10.5194/acp-21-2765-2021,https://doi.org/10.5194/acp-21-2765-2021, 2021
Short summary
Ice injected into the tropopause by deep convection – Part 2: Over the Maritime Continent
Iris-Amata Dion, Cyrille Dallet, Philippe Ricaud, Fabien Carminati, Thibaut Dauhut, and Peter Haynes
Atmos. Chem. Phys., 21, 2191–2210, https://doi.org/10.5194/acp-21-2191-2021,https://doi.org/10.5194/acp-21-2191-2021, 2021
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