Articles | Volume 15, issue 6
https://doi.org/10.5194/essd-15-2483-2023
© 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/essd-15-2483-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description article
| 
14 Jun 2023
Data description article |
| 14 Jun 2023
| 14 Jun 2023
Updated observations of clouds by MODIS for global model assessment
Lamont–Doherty Earth Observatory, Columbia University, Palisades, New York, USA
Paul A. Hubanks
Adnet Systems, Inc., Bethesda, Maryland, USA
Earth Science Division, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA
Steven Platnick
Earth Science Division, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA
Kerry Meyer
Earth Science Division, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA
Robert E. Holz
Cooperative Institute for Meteorological Satellite Studies, University of Wisconsin, Madison, Wisconsin, USA
Denis Botambekov
Cooperative Institute for Meteorological Satellite Studies, University of Wisconsin, Madison, Wisconsin, USA
Casey J. Wall
Scripps Institution of Oceanography, University of California San Diego, San Diego, California, USA
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- A systematic evaluation of high-cloud controlling factors S. Wilson Kemsley et al. https://doi.org/10.5194/acp-24-8295-2024
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- Optimizing Cloud Mask Accuracy over Snow-Covered Terrain with a Multistage Decision Tree Framework Q. Zhao et al. https://doi.org/10.3390/rs17243992
- Trends in vertical wind velocity variability reveal cloud microphysical feedback D. Barahona et al. https://doi.org/10.1038/s41467-025-67541-7
- An analytical framework reduces cloud feedback uncertainty by linking percentage cloud change to surface ocean warming patterns J. Ma et al. https://doi.org/10.1038/s41612-026-01339-2
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Saved (final revised paper)
Latest update: 11 Aug 2026
Short summary
This paper describes a new global dataset of cloud properties observed by a specific satellite program created to facilitate comparison with a matching observational proxy used in climate models. Statistics are accumulated over daily and monthly timescales on an equal-angle grid. Statistics include cloud detection, cloud-top pressure, and cloud optical properties. Joint histograms of several variable pairs are also available.
This paper describes a new global dataset of cloud properties observed by a specific satellite...
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