Articles | Volume 16, issue 3
https://doi.org/10.5194/amt-16-645-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-16-645-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
03 Feb 2023
Research article |
| 03 Feb 2023
| 03 Feb 2023
High-spatial-resolution retrieval of cloud droplet size distribution from polarized observations of the cloudbow
Veronika Pörtge
CORRESPONDING AUTHOR
Meteorologisches Institut, Ludwig-Maximilians-Universität München, Munich, Germany
Tobias Kölling
Meteorologisches Institut, Ludwig-Maximilians-Universität München, Munich, Germany
now at: Max Planck Institute for Meteorology, Hamburg, Germany
Anna Weber
Meteorologisches Institut, Ludwig-Maximilians-Universität München, Munich, Germany
Lea Volkmer
Meteorologisches Institut, Ludwig-Maximilians-Universität München, Munich, Germany
Claudia Emde
Meteorologisches Institut, Ludwig-Maximilians-Universität München, Munich, Germany
Tobias Zinner
Meteorologisches Institut, Ludwig-Maximilians-Universität München, Munich, Germany
Linda Forster
Meteorologisches Institut, Ludwig-Maximilians-Universität München, Munich, Germany
now at: Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USA
Bernhard Mayer
Meteorologisches Institut, Ludwig-Maximilians-Universität München, Munich, Germany
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Cited
16 citations as recorded by crossref.
- NeMF: Neural Microphysics Fields I. Kom-Betzer et al.
- Retrieval of water cloud droplet size from multi-angle satellite imagery W. Luo et al.
- Retrieval of cloud thermodynamic phase partitioning from multi-angle polarimetric imaging of Arctic mixed-phase clouds A. Weber et al.
- 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.
- Retrieval of water cloud droplet size distribution based on FY-3G PMAI data C. Dai et al.
- Retrieving vertical profiles of cloud droplet effective radius using multispectral measurements from MODIS: examples and limitations A. Buggee & P. Pilewskie
- Parameterization of 3D cloud geometry and a neural-network-based fast forward operator for polarized radiative transfer A. Weber et al.
- Model-based evaluation of cloud geometry and droplet size retrievals from two-dimensional polarized measurements of specMACS L. Volkmer et al.
- Consideration of the cloud motion for aircraft-based stereographically derived cloud geometry and cloud top heights L. Volkmer et al.
- 基于多角度偏振成像仪数据的动态分辨率水云滴谱反演 余. Yu Haixiao et al.
- Pre-launch calibration and validation of the Airborne Hyper-Angular Rainbow Polarimeter (AirHARP) instrument B. McBride et al.
- Imagers for Spaceborne Cloud Tomography V. Holodovsky et al.
- Capability of liquid cloud microphysical property retrieval from satellite-borne multi-angle hyperspectral polarimetric measurements Z. Yuan et al.
- Polarization upgrade of specMACS: calibration and characterization of the 2D RGB polarization-resolving cameras A. Weber et al.
- Marine and continental stratocumulus cloud microphysical properties obtained from routine ARM Cimel sunphotometer observations K. Sookdar et al.
- Retrieval of cloud fraction and optical thickness of liquid water clouds over the ocean from multi-angle polarization observations C. Emde et al.
16 citations as recorded by crossref.
- NeMF: Neural Microphysics Fields I. Kom-Betzer et al.
- Retrieval of water cloud droplet size from multi-angle satellite imagery W. Luo et al.
- Retrieval of cloud thermodynamic phase partitioning from multi-angle polarimetric imaging of Arctic mixed-phase clouds A. Weber et al.
- 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.
- Retrieval of water cloud droplet size distribution based on FY-3G PMAI data C. Dai et al.
- Retrieving vertical profiles of cloud droplet effective radius using multispectral measurements from MODIS: examples and limitations A. Buggee & P. Pilewskie
- Parameterization of 3D cloud geometry and a neural-network-based fast forward operator for polarized radiative transfer A. Weber et al.
- Model-based evaluation of cloud geometry and droplet size retrievals from two-dimensional polarized measurements of specMACS L. Volkmer et al.
- Consideration of the cloud motion for aircraft-based stereographically derived cloud geometry and cloud top heights L. Volkmer et al.
- 基于多角度偏振成像仪数据的动态分辨率水云滴谱反演 余. Yu Haixiao et al.
- Pre-launch calibration and validation of the Airborne Hyper-Angular Rainbow Polarimeter (AirHARP) instrument B. McBride et al.
- Imagers for Spaceborne Cloud Tomography V. Holodovsky et al.
- Capability of liquid cloud microphysical property retrieval from satellite-borne multi-angle hyperspectral polarimetric measurements Z. Yuan et al.
- Polarization upgrade of specMACS: calibration and characterization of the 2D RGB polarization-resolving cameras A. Weber et al.
- Marine and continental stratocumulus cloud microphysical properties obtained from routine ARM Cimel sunphotometer observations K. Sookdar et al.
- Retrieval of cloud fraction and optical thickness of liquid water clouds over the ocean from multi-angle polarization observations C. Emde et al.
Saved (final revised paper)
Latest update: 04 May 2026
Short summary
In this work, we analyze polarized cloudbow observations by the airborne camera system specMACS to retrieve the cloud droplet size distribution defined by the effective radius (reff) and the effective variance (veff). Two case studies of trade-wind cumulus clouds observed during the EUREC4A field campaign are presented. The results are combined into maps of reff and veff with a very high spatial resolution (100 m × 100 m) that allow new insights into cloud microphysics.
In this work, we analyze polarized cloudbow observations by the airborne camera system specMACS...
