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A multilayer cloud detection algorithm for the Suomi-NPP Visible Infrared Imager Radiometer Suite (VIIRS)

Wang, Jianjie and Liu, Chao and Yao, Bin and Min, Min and Letu, Husi and Yin, Yan and Yung, Yuk L. (2019) A multilayer cloud detection algorithm for the Suomi-NPP Visible Infrared Imager Radiometer Suite (VIIRS). Remote Sensing of Environment, 227 . pp. 1-11. ISSN 0034-4257. http://resolver.caltech.edu/CaltechAUTHORS:20190408-101258817

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Abstract

A new multilayer (ML) cloud detection algorithm based on three shortwave infrared (SWIR) and two longwave infrared (LWIR) channels is developed and applied to the Visible Infrared Imager Radiometer Suite (VIIRS) onboard the Suomi-NPP satellite. The algorithm identifies ML clouds, i.e., ice clouds overlying water clouds, based on satellite multispectral observations in the 1.38, 1.6, 2.25, 8.5, and 11 μm channels. We perform synthetic radiative transfer simulations to understand the sensitivities of the aforementioned channels on ML and single-layer (SL) clouds. Active CALIOP observations are used to evaluate the algorithm. Compared with the collocated CALIOP results, the algorithm can determine SL and ML clouds correctly with success rates of approximately 80% and 60%, respectively, and has similar performance to that of the current MODIS operational ML cloud detection algorithm. The misclassification of ML clouds as SL clouds is primarily caused by thin ice clouds that are practically undetectable using LWIR tests. Furthermore, the algorithm is extended to analyze data from radiometers onboard the geostationary Himawari-8 and FengYun-4A satellites, and results similar to those of VIIRS are obtained.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1016/j.rse.2019.02.024DOIArticle
ORCID:
AuthorORCID
Liu, Chao0000-0001-7049-493X
Min, Min0000-0003-1519-5069
Letu, Husi0000-0002-7336-8872
Additional Information:© 2019 Elsevier. Received 11 July 2018, Revised 22 February 2019, Accepted 23 February 2019, Available online 6 April 2019. This research is supported by the National Key Research and Development Program of China (2018YFC1506502), the National Natural Science Foundation of China (41571348 and 41771395), Young Elite Scientists Sponsorship Program by CAST (2017QNRC001), the Six Talent Peaks Project in Jiangsu Province (2017-JY-053), and the Open Project Fund of Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites, NSMC/CMA.
Funders:
Funding AgencyGrant Number
National Key Research and Development Program of China2018YFC1506502
National Natural Science Foundation of China41571348
National Natural Science Foundation of China41771395
Chinese Association for Science and Technology2017QNRC001
Six Talent Peaks Project in Jiangsu Province2017-JY-053
Open Project Fund of Key Laboratory of Radiometric Calibration and Validation for Environmental SatellitesUNSPECIFIED
Subject Keywords:VIIRS; Multilayer clouds; Radiometer; Shortwave infrared; Longwave infrared
Record Number:CaltechAUTHORS:20190408-101258817
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20190408-101258817
Official Citation:Jianjie Wang, Chao Liu, Bin Yao, Min Min, Husi Letu, Yan Yin, Yuk L. Yung, A multilayer cloud detection algorithm for the Suomi-NPP Visible Infrared Imager Radiometer Suite (VIIRS), Remote Sensing of Environment, Volume 227, 2019, Pages 1-11, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2019.02.024. (http://www.sciencedirect.com/science/article/pii/S0034425719300793)
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:94558
Collection:CaltechAUTHORS
Deposited By: George Porter
Deposited On:09 Apr 2019 15:10
Last Modified:09 Apr 2019 15:10

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