Articles | Volume 11, issue 6
https://doi.org/10.5194/amt-11-3689-2018
© Author(s) 2018. 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-11-3689-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
26 Jun 2018
Research article |
| 26 Jun 2018
| 26 Jun 2018
Comparisons of bispectral and polarimetric retrievals of marine boundary layer cloud microphysics: case studies using a LES–satellite retrieval simulator
Daniel J. Miller
CORRESPONDING AUTHOR
Physics, University of Maryland, Baltimore County, Baltimore, MD, USA
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Zhibo Zhang
Physics, University of Maryland, Baltimore County, Baltimore, MD, USA
Joint Center for Earth Systems Technology, University of Maryland, Baltimore County, Baltimore, MD, USA
Steven Platnick
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Andrew S. Ackerman
NASA Goddard Institute for Space Studies, New York, NY, USA
Frank Werner
Joint Center for Earth Systems Technology, University of Maryland, Baltimore County, Baltimore, MD, USA
Celine Cornet
Laboratoire d'Optique Atmosphérique, Université des Sciences
et Technologies de Lille, Villeneuve d'Ascq, France
Kirk Knobelspiesse
NASA Goddard Space Flight Center, Greenbelt, MD, USA
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Cited
21 citations as recorded by crossref.
- Evaluation of satellite retrievals of liquid clouds from the GOES-13 imager and MODIS over the midlatitude North Atlantic during the NAAMES campaign D. Painemal et al. 10.5194/amt-14-6633-2021
- Low-level liquid cloud properties during ORACLES retrieved using airborne polarimetric measurements and a neural network algorithm D. Miller et al. 10.5194/amt-13-3447-2020
- Analysis of Scattering Angle Sampling by Multi-Angle Imaging Polarimeters for Different Orbit Geometries S. Thompson et al. 10.3389/frsen.2022.836262
- High-spatial-resolution retrieval of cloud droplet size distribution from polarized observations of the cloudbow V. Pörtge et al. 10.5194/amt-16-645-2023
- An evaluation of the liquid cloud droplet effective radius derived from MODIS, airborne remote sensing, and in situ measurements from CAMP<sup>2</sup>Ex D. Fu et al. 10.5194/acp-22-8259-2022
- Retrieval of liquid water cloud properties from POLDER-3 measurements using a neural network ensemble approach A. Di Noia et al. 10.5194/amt-12-1697-2019
- Remote sensing of cloud droplet radius profiles using solar reflectance from cloud sides – Part 1: Retrieval development and characterization F. Ewald et al. 10.5194/amt-12-1183-2019
- Influence of cloud retrieval errors due to three-dimensional radiative effects on calculations of broadband shortwave cloud radiative effect A. Ademakinwa et al. 10.5194/acp-24-3093-2024
- Development of neural network retrievals of liquid cloud properties from multi-angle polarimetric observations M. Segal-Rozenhaimer et al. 10.1016/j.jqsrt.2018.08.030
- Confronting the Challenge of Modeling Cloud and Precipitation Microphysics H. Morrison et al. 10.1029/2019MS001689
- Model-based evaluation of cloud geometry and droplet size retrievals from two-dimensional polarized measurements of specMACS L. Volkmer et al. 10.5194/amt-17-1703-2024
- Inference of Precipitation in Warm Stratiform Clouds Using Remotely Sensed Observations of the Cloud Top Droplet Size Distribution K. Sinclair et al. 10.1029/2021GL092547
- Ice Cloud Optical Thickness, Effective Radius, And Ice Water Path Inferred From Fused MISR and MODIS Measurements Based on a Pixel‐Level Optimal Ice Particle Roughness Model Y. Wang et al. 10.1029/2019JD030457
- Spatial distribution of cloud droplet size properties from Airborne Hyper-Angular Rainbow Polarimeter (AirHARP) measurements B. McBride et al. 10.5194/amt-13-1777-2020
- 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
- Retrieving the microphysical properties of opaque liquid water clouds from CALIOP measurements Y. Zhang et al. 10.1364/OE.27.034126
- The Plankton, Aerosol, Cloud, Ocean Ecosystem Mission: Status, Science, Advances P. Werdell et al. 10.1175/BAMS-D-18-0056.1
- An Evaluation of Surface Climatology in State-of-the-Art Reanalyses over the Antarctic Ice Sheet A. Gossart et al. 10.1175/JCLI-D-19-0030.1
- CALIOP retrieval of droplet effective radius accounting for cloud vertical homogeneity L. Zang et al. 10.1364/OE.427022
- Observations of Aerosol‐Cloud Interactions During the North Atlantic Aerosol and Marine Ecosystem Study K. Sinclair et al. 10.1029/2019GL085851
- Polarimetric retrievals of cloud droplet number concentrations K. Sinclair et al. 10.1016/j.rse.2019.04.008
19 citations as recorded by crossref.
- Evaluation of satellite retrievals of liquid clouds from the GOES-13 imager and MODIS over the midlatitude North Atlantic during the NAAMES campaign D. Painemal et al. 10.5194/amt-14-6633-2021
- Low-level liquid cloud properties during ORACLES retrieved using airborne polarimetric measurements and a neural network algorithm D. Miller et al. 10.5194/amt-13-3447-2020
- Analysis of Scattering Angle Sampling by Multi-Angle Imaging Polarimeters for Different Orbit Geometries S. Thompson et al. 10.3389/frsen.2022.836262
- High-spatial-resolution retrieval of cloud droplet size distribution from polarized observations of the cloudbow V. Pörtge et al. 10.5194/amt-16-645-2023
- An evaluation of the liquid cloud droplet effective radius derived from MODIS, airborne remote sensing, and in situ measurements from CAMP<sup>2</sup>Ex D. Fu et al. 10.5194/acp-22-8259-2022
- Retrieval of liquid water cloud properties from POLDER-3 measurements using a neural network ensemble approach A. Di Noia et al. 10.5194/amt-12-1697-2019
- Remote sensing of cloud droplet radius profiles using solar reflectance from cloud sides – Part 1: Retrieval development and characterization F. Ewald et al. 10.5194/amt-12-1183-2019
- Influence of cloud retrieval errors due to three-dimensional radiative effects on calculations of broadband shortwave cloud radiative effect A. Ademakinwa et al. 10.5194/acp-24-3093-2024
- Development of neural network retrievals of liquid cloud properties from multi-angle polarimetric observations M. Segal-Rozenhaimer et al. 10.1016/j.jqsrt.2018.08.030
- Confronting the Challenge of Modeling Cloud and Precipitation Microphysics H. Morrison et al. 10.1029/2019MS001689
- Model-based evaluation of cloud geometry and droplet size retrievals from two-dimensional polarized measurements of specMACS L. Volkmer et al. 10.5194/amt-17-1703-2024
- Inference of Precipitation in Warm Stratiform Clouds Using Remotely Sensed Observations of the Cloud Top Droplet Size Distribution K. Sinclair et al. 10.1029/2021GL092547
- Ice Cloud Optical Thickness, Effective Radius, And Ice Water Path Inferred From Fused MISR and MODIS Measurements Based on a Pixel‐Level Optimal Ice Particle Roughness Model Y. Wang et al. 10.1029/2019JD030457
- Spatial distribution of cloud droplet size properties from Airborne Hyper-Angular Rainbow Polarimeter (AirHARP) measurements B. McBride et al. 10.5194/amt-13-1777-2020
- 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
- Retrieving the microphysical properties of opaque liquid water clouds from CALIOP measurements Y. Zhang et al. 10.1364/OE.27.034126
- The Plankton, Aerosol, Cloud, Ocean Ecosystem Mission: Status, Science, Advances P. Werdell et al. 10.1175/BAMS-D-18-0056.1
- An Evaluation of Surface Climatology in State-of-the-Art Reanalyses over the Antarctic Ice Sheet A. Gossart et al. 10.1175/JCLI-D-19-0030.1
- CALIOP retrieval of droplet effective radius accounting for cloud vertical homogeneity L. Zang et al. 10.1364/OE.427022
Discussed (final revised paper)
Latest update: 20 Nov 2024
Short summary
Prior satellite comparisons of bispectral and polarimetric cloud droplet size retrievals exhibited systematic biases. However, similar airborne instrument retrievals have been found to be quite similar to one another. This study explains this discrepancy in terms of differing sensitivity to vertical profile, as well as spatial and angular resolution. This is accomplished by using a satellite retrieval simulator – an LES cloud model coupled to radiative transfer and cloud retrieval algorithms.
Prior satellite comparisons of bispectral and polarimetric cloud droplet size retrievals...
