Articles | Volume 14, issue 10
https://doi.org/10.5194/amt-14-6633-2021
© 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-14-6633-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
14 Oct 2021
Research article |
| 14 Oct 2021
| 14 Oct 2021
Evaluation of satellite retrievals of liquid clouds from the GOES-13 imager and MODIS over the midlatitude North Atlantic during the NAAMES campaign
David Painemal
CORRESPONDING AUTHOR
Science Systems and Applications, Inc., Hampton, VA, US
NASA Langley Research Center, Hampton, VA, US
Douglas Spangenberg
Science Systems and Applications, Inc., Hampton, VA, US
NASA Langley Research Center, Hampton, VA, US
William L. Smith Jr.
NASA Langley Research Center, Hampton, VA, US
Patrick Minnis
Science Systems and Applications, Inc., Hampton, VA, US
NASA Langley Research Center, Hampton, VA, US
Brian Cairns
NASA Goddard Institute for Space Studies, New York, NY, US
Richard H. Moore
NASA Langley Research Center, Hampton, VA, US
Ewan Crosbie
Science Systems and Applications, Inc., Hampton, VA, US
NASA Langley Research Center, Hampton, VA, US
Claire Robinson
Science Systems and Applications, Inc., Hampton, VA, US
NASA Langley Research Center, Hampton, VA, US
Kenneth L. Thornhill
Science Systems and Applications, Inc., Hampton, VA, US
NASA Langley Research Center, Hampton, VA, US
Edward L. Winstead
Science Systems and Applications, Inc., Hampton, VA, US
NASA Langley Research Center, Hampton, VA, US
Luke Ziemba
NASA Langley Research Center, Hampton, VA, US
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- 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
- Characterizing clouds with the CCClim dataset, a machine learning cloud class climatology A. Kaps et al. 10.5194/essd-16-3001-2024
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- Ocean flux of salt, sulfate, and organic components to atmospheric aerosol L. Russell et al. 10.1016/j.earscirev.2023.104364
- VIIRS Edition 1 Cloud Properties for CERES, Part 1: Algorithm Adjustments and Results P. Minnis et al. 10.3390/rs15030578
- Wintertime Synoptic Patterns of Midlatitude Boundary Layer Clouds Over the Western North Atlantic: Climatology and Insights From In Situ ACTIVATE Observations D. Painemal et al. 10.1029/2022JD037725
- Distinctive aerosol–cloud–precipitation interactions in marine boundary layer clouds from the ACE-ENA and SOCRATES aircraft field campaigns X. Zheng et al. 10.5194/acp-24-10323-2024
- 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
- 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
- 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
- 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
- The impact of sampling strategy on the cloud droplet number concentration estimated from satellite data E. Gryspeerdt et al. 10.5194/amt-15-3875-2022
- Do Optically Denser Trade‐Wind Cumuli Live Longer? T. Seelig et al. 10.1029/2023GL103339
- Editorial: Unraveling Mechanisms Underlying Annual Plankton Blooms in the North Atlantic and Their Implications for Biogenic Aerosol Properties and Cloud Formation M. Behrenfeld et al. 10.3389/fmars.2021.764035
15 citations as recorded by crossref.
- Daytime variation in the aerosol indirect effect for warm marine boundary layer clouds in the eastern North Atlantic S. Qiu et al. 10.5194/acp-24-2913-2024
- A Multi-Year Study of GOES-13 Droplet Effective Radius Retrievals for Warm Clouds over South America and Southeast Pacific A. Correia et al. 10.3390/atmos13010077
- 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
- Characterizing clouds with the CCClim dataset, a machine learning cloud class climatology A. Kaps et al. 10.5194/essd-16-3001-2024
- An assessment of macrophysical and microphysical cloud properties driving radiative forcing of shallow trade-wind clouds A. Luebke et al. 10.5194/acp-22-2727-2022
- Ocean flux of salt, sulfate, and organic components to atmospheric aerosol L. Russell et al. 10.1016/j.earscirev.2023.104364
- VIIRS Edition 1 Cloud Properties for CERES, Part 1: Algorithm Adjustments and Results P. Minnis et al. 10.3390/rs15030578
- Wintertime Synoptic Patterns of Midlatitude Boundary Layer Clouds Over the Western North Atlantic: Climatology and Insights From In Situ ACTIVATE Observations D. Painemal et al. 10.1029/2022JD037725
- Distinctive aerosol–cloud–precipitation interactions in marine boundary layer clouds from the ACE-ENA and SOCRATES aircraft field campaigns X. Zheng et al. 10.5194/acp-24-10323-2024
- 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
- 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
- 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
- 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
- The impact of sampling strategy on the cloud droplet number concentration estimated from satellite data E. Gryspeerdt et al. 10.5194/amt-15-3875-2022
- Do Optically Denser Trade‐Wind Cumuli Live Longer? T. Seelig et al. 10.1029/2023GL103339
Latest update: 20 Nov 2024
Short summary
Cloud properties derived from satellite sensors are critical for the global monitoring of climate. This study evaluates satellite-based cloud properties over the North Atlantic using airborne data collected during NAAMES. Satellite observations of droplet size and cloud optical depth tend to compare well with NAAMES data. The analysis indicates that the satellite pixel resolution and the specific viewing geometry need to be taken into account in research applications.
Cloud properties derived from satellite sensors are critical for the global monitoring of...
