Operational Detection of Sun Glints in DSCOVR EPIC Images

Satellite images often feature sun glints caused by the specular reflection of sunlight from water surfaces or from horizontally oriented ice crystals occurring in clouds. Such glints can prevent accurate retrievals of atmospheric and surface properties using existing algorithms, but the glints can...

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Autores principales:	Tamás Várnai, Alexander Marshak, Alexander Kostinski
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	EPIC sun glint ice cloud horizontally oriented particles operational product DSCOVR Geophysics. Cosmic physics QC801-809 Meteorology. Climatology QC851-999
Acceso en línea:	https://doaj.org/article/5d41389a08774444b1e511b5a102de22
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spelling	oai:doaj.org-article:5d41389a08774444b1e511b5a102de222021-11-18T06:14:29ZOperational Detection of Sun Glints in DSCOVR EPIC Images2673-618710.3389/frsen.2021.777806https://doaj.org/article/5d41389a08774444b1e511b5a102de222021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/frsen.2021.777806/fullhttps://doaj.org/toc/2673-6187Satellite images often feature sun glints caused by the specular reflection of sunlight from water surfaces or from horizontally oriented ice crystals occurring in clouds. Such glints can prevent accurate retrievals of atmospheric and surface properties using existing algorithms, but the glints can also be used to infer more about the glint-causing objects—for example about the microphysical properties and radiative effects of ice clouds. This paper introduces the recently released operational glint product of the Earth Polychromatic Camera (EPIC) onboard the Deep Space Climate Observatory (DSCOVR) spacecraft. Most importantly, the paper describes the algorithm used for generating the key component of the new product: a glint mask indicating the presence of sun glint caused by the specular reflection of sunlight from ice clouds and smooth water surfaces. After describing the glint detection algorithm and glint product, the paper shows some examples of the detected glints and discusses some basic statistics of the glint population in a yearlong dataset of EPIC images. These statistics provide insights into the performance of glint detection and point toward possibilities for using the glint product to gain scientific insights about ice clouds and water surfaces.Tamás VárnaiTamás VárnaiAlexander MarshakAlexander KostinskiFrontiers Media S.A.articleEPICsun glintice cloudhorizontally oriented particlesoperational productDSCOVRGeophysics. Cosmic physicsQC801-809Meteorology. ClimatologyQC851-999ENFrontiers in Remote Sensing, Vol 2 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	EPIC sun glint ice cloud horizontally oriented particles operational product DSCOVR Geophysics. Cosmic physics QC801-809 Meteorology. Climatology QC851-999
spellingShingle	EPIC sun glint ice cloud horizontally oriented particles operational product DSCOVR Geophysics. Cosmic physics QC801-809 Meteorology. Climatology QC851-999 Tamás Várnai Tamás Várnai Alexander Marshak Alexander Kostinski Operational Detection of Sun Glints in DSCOVR EPIC Images
description	Satellite images often feature sun glints caused by the specular reflection of sunlight from water surfaces or from horizontally oriented ice crystals occurring in clouds. Such glints can prevent accurate retrievals of atmospheric and surface properties using existing algorithms, but the glints can also be used to infer more about the glint-causing objects—for example about the microphysical properties and radiative effects of ice clouds. This paper introduces the recently released operational glint product of the Earth Polychromatic Camera (EPIC) onboard the Deep Space Climate Observatory (DSCOVR) spacecraft. Most importantly, the paper describes the algorithm used for generating the key component of the new product: a glint mask indicating the presence of sun glint caused by the specular reflection of sunlight from ice clouds and smooth water surfaces. After describing the glint detection algorithm and glint product, the paper shows some examples of the detected glints and discusses some basic statistics of the glint population in a yearlong dataset of EPIC images. These statistics provide insights into the performance of glint detection and point toward possibilities for using the glint product to gain scientific insights about ice clouds and water surfaces.
format	article
author	Tamás Várnai Tamás Várnai Alexander Marshak Alexander Kostinski
author_facet	Tamás Várnai Tamás Várnai Alexander Marshak Alexander Kostinski
author_sort	Tamás Várnai
title	Operational Detection of Sun Glints in DSCOVR EPIC Images
title_short	Operational Detection of Sun Glints in DSCOVR EPIC Images
title_full	Operational Detection of Sun Glints in DSCOVR EPIC Images
title_fullStr	Operational Detection of Sun Glints in DSCOVR EPIC Images
title_full_unstemmed	Operational Detection of Sun Glints in DSCOVR EPIC Images
title_sort	operational detection of sun glints in dscovr epic images
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/5d41389a08774444b1e511b5a102de22
work_keys_str_mv	AT tamasvarnai operationaldetectionofsunglintsindscovrepicimages AT tamasvarnai operationaldetectionofsunglintsindscovrepicimages AT alexandermarshak operationaldetectionofsunglintsindscovrepicimages AT alexanderkostinski operationaldetectionofsunglintsindscovrepicimages
_version_	1718424540116156416

Operational Detection of Sun Glints in DSCOVR EPIC Images

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