Articles | Volume 22, issue 12
https://doi.org/10.5194/acp-22-8259-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-22-8259-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
27 Jun 2022
Research article |
| 27 Jun 2022
| 27 Jun 2022
An evaluation of the liquid cloud droplet effective radius derived from MODIS, airborne remote sensing, and in situ measurements from CAMP2Ex
Department of Atmospheric Sciences, University of Illinois
Urbana-Champaign, Urbana, Illinois, USA
Larry Di Girolamo
Department of Atmospheric Sciences, University of Illinois
Urbana-Champaign, Urbana, Illinois, USA
Robert M. Rauber
Department of Atmospheric Sciences, University of Illinois
Urbana-Champaign, Urbana, Illinois, USA
Greg M. McFarquhar
Cooperative Institute for Severe and High-Impact Weather Research and
Operations, The University of Oklahoma, Norman, Oklahoma, USA
School of Meteorology, The University of Oklahoma, Norman, Oklahoma,
USA
Stephen W. Nesbitt
Department of Atmospheric Sciences, University of Illinois
Urbana-Champaign, Urbana, Illinois, USA
Jesse Loveridge
Department of Atmospheric Sciences, University of Illinois
Urbana-Champaign, Urbana, Illinois, USA
Yulan Hong
Department of Atmospheric Sciences, University of Illinois
Urbana-Champaign, Urbana, Illinois, USA
Bastiaan van Diedenhoven
SRON Netherlands Institute for Space Research, Leiden, the
Netherlands
Brian Cairns
NASA Goddard Institute for Space Studies, New York City, New York,
USA
Mikhail D. Alexandrov
NASA Goddard Institute for Space Studies, New York City, New York,
USA
Paul Lawson
Stratton Park Engineering Company, Inc., Boulder, Colorado, USA
Sarah Woods
Stratton Park Engineering Company, Inc., Boulder, Colorado, USA
Simone Tanelli
Jet Propulsion Laboratory, Pasadena, California, USA
Sebastian Schmidt
Department of Atmospheric and Oceanic Sciences, University of Colorado
Boulder, Boulder, Colorado, USA
Laboratory for Atmospheric and Space Physics, University of Colorado
Boulder, Boulder, Colorado, USA
Chris Hostetler
NASA Langley Research Center, Hampton, Virginia, USA
Amy Jo Scarino
Science Systems and Applications, Inc., Hampton, Virginia, USA
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Cited
10 citations as recorded by crossref.
- Opposite effects of aerosols and meteorological parameters on warm clouds in two contrasting regions over eastern China Y. Liu et al. 10.5194/acp-24-4651-2024
- Urban cemeteries: The forgotten but powerful cooling islands B. Stumpe et al. 10.1016/j.scitotenv.2024.173167
- In situ and satellite-based estimates of cloud properties and aerosol–cloud interactions over the southeast Atlantic Ocean S. Gupta et al. 10.5194/acp-22-12923-2022
- 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
- Effect of Partially Melting Droplets on Polarimetric and Bi-Spectral Retrieval of Water Cloud Particle Size W. Sun et al. 10.3390/rs15061576
- Observations of the macrophysical properties of cumulus cloud fields over the tropical western Pacific and their connection to meteorological variables M. De Vera et al. 10.5194/acp-24-5603-2024
- Settings for Spaceborne 3-D Scattering Tomography of Liquid-Phase Clouds by the CloudCT Mission M. Tzabari et al. 10.1109/TGRS.2022.3198525
- Spatially coordinated airborne data and complementary products for aerosol, gas, cloud, and meteorological studies: the NASA ACTIVATE dataset A. Sorooshian et al. 10.5194/essd-15-3419-2023
- Influence of natural and anthropogenic aerosols on cloud base droplet size distributions in clouds over the South China Sea and West Pacific R. Miller et al. 10.5194/acp-23-8959-2023
- 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
10 citations as recorded by crossref.
- Opposite effects of aerosols and meteorological parameters on warm clouds in two contrasting regions over eastern China Y. Liu et al. 10.5194/acp-24-4651-2024
- Urban cemeteries: The forgotten but powerful cooling islands B. Stumpe et al. 10.1016/j.scitotenv.2024.173167
- In situ and satellite-based estimates of cloud properties and aerosol–cloud interactions over the southeast Atlantic Ocean S. Gupta et al. 10.5194/acp-22-12923-2022
- 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
- Effect of Partially Melting Droplets on Polarimetric and Bi-Spectral Retrieval of Water Cloud Particle Size W. Sun et al. 10.3390/rs15061576
- Observations of the macrophysical properties of cumulus cloud fields over the tropical western Pacific and their connection to meteorological variables M. De Vera et al. 10.5194/acp-24-5603-2024
- Settings for Spaceborne 3-D Scattering Tomography of Liquid-Phase Clouds by the CloudCT Mission M. Tzabari et al. 10.1109/TGRS.2022.3198525
- Spatially coordinated airborne data and complementary products for aerosol, gas, cloud, and meteorological studies: the NASA ACTIVATE dataset A. Sorooshian et al. 10.5194/essd-15-3419-2023
- Influence of natural and anthropogenic aerosols on cloud base droplet size distributions in clouds over the South China Sea and West Pacific R. Miller et al. 10.5194/acp-23-8959-2023
- 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
Latest update: 20 Nov 2024
Short summary
Satellite-retrieved cloud microphysics are widely used in climate research because of their central role in water and energy cycles. Here, we provide the first detailed investigation of retrieved cloud drop sizes from in situ and various satellite and airborne remote sensing techniques applied to real cumulus cloud fields. We conclude that the most widely used passive remote sensing method employed in climate research produces high biases of 6–8 µm (60 %–80 %) caused by 3-D radiative effects.
Satellite-retrieved cloud microphysics are widely used in climate research because of their...
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