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Updated Observations of Clouds By MODIS for Global Model AssessmentThis paper describes a new global dataset of cloud properties observed by MODIS relying on the current (collection 6.1) processing of MODIS data and produced to facilitate comparison with results from the MODIS observational proxy used in climate models. The dataset merges observations from the two MODIS instruments into a single netCDF file. Statistics (mean, standard deviation, and number of observations) are accumulated over daily and monthly timescales on an equal-angle grid for viewing and illumination geometry, cloud detection, cloud-top pressure, and cloud properties (optical thickness, effective particle size, and water path) partitioned by thermodynamic phase and an assessment as to whether the underlying observations come from fully or partly cloudy pixels. Similarly partitioned joint histograms are available for (1) optical thickness and cloud-top pressure, (2) optical thickness and particle size, and (3) cloud water path and particle size. Differences with standard data products, caveats for data use, and guidelines for comparison to the MODIS simulator are described.
Document ID
20230006651
Acquisition Source
Goddard Space Flight Center
Document Type
Accepted Manuscript (Version with final changes)
Authors
Robert Pincus ORCID
(Columbia University New York, New York, United States)
Paul A. Hubanks
(Adnet Systems (United States) Bethesda, Maryland, United States)
Steven Platnick
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Kerry Meyer
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Robert E. Holz ORCID
(University of Wisconsin–Madison Madison, Wisconsin, United States)
Denis Botambekov
(University of Wisconsin–Madison Madison, Wisconsin, United States)
Casey J. Wall
(University of California, San Diego San Diego, California, United States)
Date Acquired
May 1, 2023
Publication Date
June 14, 2023
Publication Information
Publication: Earth System Science Data
Publisher: Copernicus Publications
Volume: 15
Issue: 6
Issue Publication Date: June 2, 2023
ISSN: 1866-3508
e-ISSN: 1866-3516
Subject Category
Earth Resources and Remote Sensing
Funding Number(s)
CONTRACT_GRANT: 80GSFC23CA040
CONTRACT_GRANT: 80GSFC20C0097
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Technical Review
External Peer Committee
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