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Open AccessArticle

The NASA MODIS-VIIRS Continuity Cloud Optical Properties Products

Earth Sciences Division, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
Science Systems Applications Inc., Lanham, MD 20706, USA
Space Science and Engineering Center, University of Wisconsin-Madison, Madison, WI 53706, USA
ADNET Systems Inc., Bethesda, MD 20817, USA
University Space Research Association, Columbia, MD 21046, USA
Author to whom correspondence should be addressed.
Remote Sens. 2021, 13(1), 2;
Received: 23 November 2020 / Revised: 17 December 2020 / Accepted: 21 December 2020 / Published: 22 December 2020
The 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. View Full-Text
Keywords: satellite remote sensing; satellite climate data records; clouds satellite remote sensing; satellite climate data records; clouds
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MDPI and ACS Style

Platnick, S.; Meyer, K.; Wind, G.; Holz, R.E.; Amarasinghe, N.; Hubanks, P.A.; Marchant, B.; Dutcher, S.; Veglio, P. The NASA MODIS-VIIRS Continuity Cloud Optical Properties Products. Remote Sens. 2021, 13, 2.

AMA Style

Platnick S, Meyer K, Wind G, Holz RE, Amarasinghe N, Hubanks PA, Marchant B, Dutcher S, Veglio P. The NASA MODIS-VIIRS Continuity Cloud Optical Properties Products. Remote Sensing. 2021; 13(1):2.

Chicago/Turabian Style

Platnick, Steven; Meyer, Kerry; Wind, Galina; Holz, Robert E.; Amarasinghe, Nandana; Hubanks, Paul A.; Marchant, Benjamin; Dutcher, Steven; Veglio, Paolo. 2021. "The NASA MODIS-VIIRS Continuity Cloud Optical Properties Products" Remote Sens. 13, no. 1: 2.

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