Articles | Volume 17, issue 3
https://doi.org/10.5194/acp-17-2359-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/acp-17-2359-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Directional, horizontal inhomogeneities of cloud optical thickness fields retrieved from ground-based and airbornespectral imaging
Michael Schäfer
CORRESPONDING AUTHOR
Leipzig Institute for Meteorology, University of Leipzig, Leipzig, Germany
Eike Bierwirth
Leipzig Institute for Meteorology, University of Leipzig, Leipzig, Germany
now at: PIER-ELECTRONIC GmbH, Nassaustr. 33–35, 65719 Hofheim-Wallau, Germany
André Ehrlich
Leipzig Institute for Meteorology, University of Leipzig, Leipzig, Germany
Evelyn Jäkel
Leipzig Institute for Meteorology, University of Leipzig, Leipzig, Germany
Frank Werner
Joint Center for Earth Systems Technology, University of Maryland, 5523 Research Park Drive 320, Baltimore, MD 21228, USA
Manfred Wendisch
Leipzig Institute for Meteorology, University of Leipzig, Leipzig, Germany
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- Markovian Statistical Model of Cloud Optical Thickness. Part I: Theory and Examples M. Alexandrov et al. https://doi.org/10.1175/JAS-D-22-0125.1
- Isolating the Liquid Cloud Response to Recent Arctic Sea Ice Variability Using Spaceborne Lidar Observations A. Morrison et al. https://doi.org/10.1002/2017JD027248
- Statistical simulation of radiation transfer in horizontally inhomogeneous stratus clouds E. Kablukova & S. Prigarin https://doi.org/10.1088/1742-6596/1715/1/012062
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- Constructing a Numerically Statistical Model of a Homogeneous Random Field with a Given Distribution of the Integral over One of the Phase Coordinates G. Mikhailov et al. https://doi.org/10.1134/S1064562419060073
- Stochastic models of atmospheric clouds structure V. Ogorodnikov et al. https://doi.org/10.1007/s00362-018-1036-7
- Effect of Microstructure and Horizontal Inhomogeneity of Broken Cirrus Clouds on Mean Solar Radiative Fluxes in the Visible Wavelength Region: Results of Numerical Simulation T. Zhuravleva & I. Nasrtdinov https://doi.org/10.1134/S1024856021060294
- Case-specific spatiotemporal microphysical variability of a stratus cloud with snowfall over Hebei, China from aircraft observations J. Li et al. https://doi.org/10.1016/j.atmosres.2026.109273
- Small-scale structure of thermodynamic phase in Arctic mixed-phase clouds observed by airborne remote sensing during a cold air outbreak and a warm air advection event E. Ruiz-Donoso et al. https://doi.org/10.5194/acp-20-5487-2020
- Quasi-Lagrangian observations of cloud transitions during the initial phase of marine cold air outbreaks in the Arctic – Part 2: Vertical cloud structure A. Weber et al. https://doi.org/10.5194/acp-26-8001-2026
- VELOX – a new thermal infrared imager for airborne remote sensing of cloud and surface properties M. Schäfer et al. https://doi.org/10.5194/amt-15-1491-2022
15 citations as recorded by crossref.
- Retrieval of cloud thermodynamic phase partitioning from multi-angle polarimetric imaging of Arctic mixed-phase clouds A. Weber et al. https://doi.org/10.5194/amt-18-7581-2025
- Quasi-Lagrangian observations of cloud transitions during the initial phase of marine cold air outbreaks in the Arctic – Part 1: Temporal and spatial evolution A. Weber et al. https://doi.org/10.5194/acp-26-3521-2026
- Markovian Statistical Model of Cloud Optical Thickness. Part I: Theory and Examples M. Alexandrov et al. https://doi.org/10.1175/JAS-D-22-0125.1
- Isolating the Liquid Cloud Response to Recent Arctic Sea Ice Variability Using Spaceborne Lidar Observations A. Morrison et al. https://doi.org/10.1002/2017JD027248
- Statistical simulation of radiation transfer in horizontally inhomogeneous stratus clouds E. Kablukova & S. Prigarin https://doi.org/10.1088/1742-6596/1715/1/012062
- Simulated and observed horizontal inhomogeneities of optical thickness of Arctic stratus M. Schäfer et al. https://doi.org/10.5194/acp-18-13115-2018
- Stochastic quasi-Gaussian models of atmospheric clouds E. Kablukova et al. https://doi.org/10.1088/1755-1315/386/1/012043
- Simulation of a random field with given distribution of one-dimensional integral E. Kablukova et al. https://doi.org/10.1515/rnam-2019-0028
- Constructing a Numerically Statistical Model of a Homogeneous Random Field with a Given Distribution of the Integral over One of the Phase Coordinates G. Mikhailov et al. https://doi.org/10.1134/S1064562419060073
- Stochastic models of atmospheric clouds structure V. Ogorodnikov et al. https://doi.org/10.1007/s00362-018-1036-7
- Effect of Microstructure and Horizontal Inhomogeneity of Broken Cirrus Clouds on Mean Solar Radiative Fluxes in the Visible Wavelength Region: Results of Numerical Simulation T. Zhuravleva & I. Nasrtdinov https://doi.org/10.1134/S1024856021060294
- Case-specific spatiotemporal microphysical variability of a stratus cloud with snowfall over Hebei, China from aircraft observations J. Li et al. https://doi.org/10.1016/j.atmosres.2026.109273
- Small-scale structure of thermodynamic phase in Arctic mixed-phase clouds observed by airborne remote sensing during a cold air outbreak and a warm air advection event E. Ruiz-Donoso et al. https://doi.org/10.5194/acp-20-5487-2020
- Quasi-Lagrangian observations of cloud transitions during the initial phase of marine cold air outbreaks in the Arctic – Part 2: Vertical cloud structure A. Weber et al. https://doi.org/10.5194/acp-26-8001-2026
- VELOX – a new thermal infrared imager for airborne remote sensing of cloud and surface properties M. Schäfer et al. https://doi.org/10.5194/amt-15-1491-2022
Saved (final revised paper)
Latest update: 08 Sep 2026
Short summary
Cloud optical thickness fields, retrieved from solar spectral radiance measurements, are used to investigate the directional structure of horizontal cloud inhomogeneities with scalar one-dimensional inhomogeneity parameters, two-dimensional auto-correlation functions, and two-dimensional Fourier analysis. The investigations reveal that it is not sufficient to quantify horizontal cloud inhomogeneities by one-dimensional inhomogeneity parameters; two-dimensional parameters are necessary.
Cloud optical thickness fields, retrieved from solar spectral radiance measurements, are used to...
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