Articles | Volume 14, issue 7
https://doi.org/10.5194/amt-14-5029-2021
© Author(s) 2021. 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-14-5029-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
23 Jul 2021
Research article |
| 23 Jul 2021
| 23 Jul 2021
Why we need radar, lidar, and solar radiance observations to constrain ice cloud microphysics
Deutsches Zentrum für Luft und Raumfahrt, Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Silke Groß
Deutsches Zentrum für Luft und Raumfahrt, Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Martin Wirth
Deutsches Zentrum für Luft und Raumfahrt, Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Julien Delanoë
LATMOS/UVSQ/IPSL/CNRS, Guyancourt, France
Stuart Fox
Met Office, FitzRoy Road, Exeter, EX1 3PB, UK
Bernhard Mayer
Meteorologisches Institut, Ludwig-Maximilians-Universität, Munich, Germany
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Cited
13 citations as recorded by crossref.
- Marine Boundary Layer Cloud Boundaries and Phase Estimation Using Airborne Radar and In Situ Measurements During the SOCRATES Campaign over Southern Ocean A. Das et al. 10.3390/atmos16101195
- Retrieving 3D distributions of atmospheric particles using Atmospheric Tomography with 3D Radiative Transfer – Part 1: Model description and Jacobian calculation J. Loveridge et al. 10.5194/amt-16-1803-2023
- The first microwave and submillimetre closure study using particle models of oriented ice hydrometeors to simulate polarimetric measurements of ice clouds K. McCusker et al. 10.5194/amt-17-3533-2024
- On the relation between ice-crystal scattering phase function at 180° and particle size: implication to lidar-based remote sensing of cirrus clouds J. Ding et al. 10.1364/OE.491395
- Retrieving 3D distributions of atmospheric particles using Atmospheric Tomography with 3D Radiative Transfer – Part 2: Local optimization J. Loveridge et al. 10.5194/amt-16-3931-2023
- Cloud Top Thermodynamic Phase from Synergistic Lidar-Radar Cloud Products from Polar Orbiting Satellites: Implications for Observations from Geostationary Satellites J. Mayer et al. 10.3390/rs15071742
- Characterizing Vertical Stratification of the Cloud Thermodynamic Phase With a Combined Use of CALIPSO Lidar and MODIS SWIR Measurements T. Nagao & K. Suzuki 10.1029/2022JD036826
- Investigating the radiative effect of Arctic cirrus measured in situ during the winter 2015–2016 A. Marsing et al. 10.5194/acp-23-587-2023
- Synergistic radar and sub-millimeter radiometer retrievals of ice hydrometeors in mid-latitude frontal cloud systems S. Pfreundschuh et al. 10.5194/amt-15-677-2022
- Hemispheric and Seasonal Contrast in Cloud Thermodynamic Phase From A‐Train Spaceborne Instruments D. Villanueva et al. 10.1029/2020JD034322
- Bayesian cloud-top phase determination for Meteosat Second Generation J. Mayer et al. 10.5194/amt-17-4015-2024
- Evaluating the representation of Arctic cirrus solar radiative effects in the Integrated Forecasting System with airborne measurements J. Röttenbacher et al. 10.5194/acp-24-8085-2024
- An Investigation of the Ice Cloud Detection Sensitivity of Cloud Radars Using the Raman Lidar at the ARM SGP Site M. Wang et al. 10.3390/rs14143466
13 citations as recorded by crossref.
- Marine Boundary Layer Cloud Boundaries and Phase Estimation Using Airborne Radar and In Situ Measurements During the SOCRATES Campaign over Southern Ocean A. Das et al. 10.3390/atmos16101195
- Retrieving 3D distributions of atmospheric particles using Atmospheric Tomography with 3D Radiative Transfer – Part 1: Model description and Jacobian calculation J. Loveridge et al. 10.5194/amt-16-1803-2023
- The first microwave and submillimetre closure study using particle models of oriented ice hydrometeors to simulate polarimetric measurements of ice clouds K. McCusker et al. 10.5194/amt-17-3533-2024
- On the relation between ice-crystal scattering phase function at 180° and particle size: implication to lidar-based remote sensing of cirrus clouds J. Ding et al. 10.1364/OE.491395
- Retrieving 3D distributions of atmospheric particles using Atmospheric Tomography with 3D Radiative Transfer – Part 2: Local optimization J. Loveridge et al. 10.5194/amt-16-3931-2023
- Cloud Top Thermodynamic Phase from Synergistic Lidar-Radar Cloud Products from Polar Orbiting Satellites: Implications for Observations from Geostationary Satellites J. Mayer et al. 10.3390/rs15071742
- Characterizing Vertical Stratification of the Cloud Thermodynamic Phase With a Combined Use of CALIPSO Lidar and MODIS SWIR Measurements T. Nagao & K. Suzuki 10.1029/2022JD036826
- Investigating the radiative effect of Arctic cirrus measured in situ during the winter 2015–2016 A. Marsing et al. 10.5194/acp-23-587-2023
- Synergistic radar and sub-millimeter radiometer retrievals of ice hydrometeors in mid-latitude frontal cloud systems S. Pfreundschuh et al. 10.5194/amt-15-677-2022
- Hemispheric and Seasonal Contrast in Cloud Thermodynamic Phase From A‐Train Spaceborne Instruments D. Villanueva et al. 10.1029/2020JD034322
- Bayesian cloud-top phase determination for Meteosat Second Generation J. Mayer et al. 10.5194/amt-17-4015-2024
- Evaluating the representation of Arctic cirrus solar radiative effects in the Integrated Forecasting System with airborne measurements J. Röttenbacher et al. 10.5194/acp-24-8085-2024
- An Investigation of the Ice Cloud Detection Sensitivity of Cloud Radars Using the Raman Lidar at the ARM SGP Site M. Wang et al. 10.3390/rs14143466
Latest update: 01 Nov 2025
Short summary
In this study, we show how solar radiance observations can be used to validate and further constrain ice cloud microphysics retrieved from the synergy of radar–lidar measurements. Since most radar–lidar retrievals rely on a global assumption about the ice particle shape, ice water content and particle size biases are to be expected in individual cloud regimes. In this work, we identify and correct these biases by reconciling simulated and measured solar radiation reflected from these clouds.
In this study, we show how solar radiance observations can be used to validate and further...
