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The NASA MODIS-VIIRS Continuity Cloud Optical Properties ProductsThe NASA Aqua MODIS and Suomi National Polar-Orbiting Partnership (SNPP) Visible Infrared Imaging Radiometer Suite (VIIRS) climate data record continuity cloud properties products (CLDPROP) were publicly released in April 2019 with an update later that year (Version 1.1). These cloud products, having heritage with the NASA Moderate-resolution Imaging Spectroradiometer (MODIS) MOD06 cloud optical properties product and the NOAA GOES-R Algorithm Working Group (AWG) Cloud Height Algorithm (ACHA), represent an effort to bridge the multispectral imager records of NASA’s Earth Observing System (EOS) and NOAA’s current generation of operational weather satellites to achieve a continuous, multi-decadal climate data record for clouds that can extend well into the 2030s. CLDPROP offers a “continuity of approach,” applying common algorithms and ancillary datasets to both MODIS and VIIRS, including utilizing only a subset of spectral channels available on both sensors to help mitigate instrument differences. The initial release of the CLDPROP_MODIS and CLDPROP_VIIRS data records spans the SNPP observational record (2012-present). Here, we present an overview of the algorithms and an evaluation of the intersensor continuity of the core CLDPROP_MODIS and CLDPROP_VIIRS cloud optical property datasets, i.e., cloud thermodynamic phase, optical thickness, effective particle size, and derived water path. The evaluation includes analyses of pixel-level MODIS/VIIRS co-locations as well as spatial and temporal aggregated statistics, with a focus on identifying and understanding the root causes of individual dataset discontinuities. The results of this evaluation will inform future updates to the CLDPROP products and help scientific users determine the appropriate use of the product datasets for their specific needs.
Document ID
20210000416
Acquisition Source
Goddard Space Flight Center
Document Type
Reprint (Version printed in journal)
Authors
Steven Platnick
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Kerry Meyer
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Galina Wind
(Science Systems and Applications (United States) Lanham, Maryland, United States)
Robert E. Holz
(University of Wisconsin–Madison Madison, Wisconsin, United States)
Nandana Amarasinghe
(Science Systems and Applications (United States) Lanham, Maryland, United States)
Paul A Hubanks
(Adnet Systems (United States) Bethesda, Maryland, United States)
Benjamin Marchant
(Universities Space Research Association Columbia, Maryland, United States)
Steven Dutcher
(University of Wisconsin–Madison Madison, Wisconsin, United States)
Paolo Veglio
(University of Wisconsin–Madison Madison, Wisconsin, United States)
Date Acquired
January 13, 2021
Publication Date
December 22, 2020
Publication Information
Publication: Remote Sensing
Publisher: MDPI
Volume: 13
Issue: 1
e-ISSN: 2072-4292
URL: https://www.mdpi.com/2072-4292/13/1/2
Subject Category
Geosciences (General)
Funding Number(s)
WBS: 437949.02.01.02.70
CONTRACT_GRANT: NNH17ZDA001N-TASNPP
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Technical Review
Single Expert
Keywords
satellite remote sensing
satellite climate data control
clouds
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