A Method for Estimating the Cloud Adjacency Effect on the Ground Surface Reflectance Reconstruction from Passive Satellite Observations through Gaps in Cloud Fields

A method for estimating the cloud adjacency effect on the reflectance of ground surface areas reconstructed from passive satellite observations through gaps in cloud fields is proposed. The method allows one to estimate gaps of cloud fields in which the cloud adjacency effect can be considered small...

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Autores principales:	Mikhail V. Tarasenkov, Matvei N. Zonov, Marina V. Engel, Vladimir V. Belov
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	satellite images atmospheric correction ground surface reflectance broken cloudiness cloud adjacency effect Monte Carlo method Meteorology. Climatology QC851-999
Acceso en línea:	https://doaj.org/article/ddaadc4c4e7e4a9faf8bc005e3c13c81
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spelling	oai:doaj.org-article:ddaadc4c4e7e4a9faf8bc005e3c13c812021-11-25T16:45:44ZA Method for Estimating the Cloud Adjacency Effect on the Ground Surface Reflectance Reconstruction from Passive Satellite Observations through Gaps in Cloud Fields10.3390/atmos121115122073-4433https://doaj.org/article/ddaadc4c4e7e4a9faf8bc005e3c13c812021-11-01T00:00:00Zhttps://www.mdpi.com/2073-4433/12/11/1512https://doaj.org/toc/2073-4433A method for estimating the cloud adjacency effect on the reflectance of ground surface areas reconstructed from passive satellite observations through gaps in cloud fields is proposed. The method allows one to estimate gaps of cloud fields in which the cloud adjacency effect can be considered small (the increment of the reflectance <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mo>Δ</mo><msub><mi>r</mi><mrow><mi>s</mi><mi>u</mi><mi>r</mi><mi>f</mi></mrow></msub><mo>≤</mo></mrow></semantics></math></inline-formula> 0.005). The algorithm is based on statistical simulation by the Monte Carlo method of radiation transfer in stochastic broken cloudiness with a deterministic cylindrical gap. An interpolation formula is obtained for the radius of the cloud adjacency effect that can be used for the reconstruction the ground surface reflectance in real time without calculations by the Monte Carlo method.Mikhail V. TarasenkovMatvei N. ZonovMarina V. EngelVladimir V. BelovMDPI AGarticlesatellite imagesatmospheric correctionground surface reflectancebroken cloudinesscloud adjacency effectMonte Carlo methodMeteorology. ClimatologyQC851-999ENAtmosphere, Vol 12, Iss 1512, p 1512 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	satellite images atmospheric correction ground surface reflectance broken cloudiness cloud adjacency effect Monte Carlo method Meteorology. Climatology QC851-999
spellingShingle	satellite images atmospheric correction ground surface reflectance broken cloudiness cloud adjacency effect Monte Carlo method Meteorology. Climatology QC851-999 Mikhail V. Tarasenkov Matvei N. Zonov Marina V. Engel Vladimir V. Belov A Method for Estimating the Cloud Adjacency Effect on the Ground Surface Reflectance Reconstruction from Passive Satellite Observations through Gaps in Cloud Fields
description	A method for estimating the cloud adjacency effect on the reflectance of ground surface areas reconstructed from passive satellite observations through gaps in cloud fields is proposed. The method allows one to estimate gaps of cloud fields in which the cloud adjacency effect can be considered small (the increment of the reflectance <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mo>Δ</mo><msub><mi>r</mi><mrow><mi>s</mi><mi>u</mi><mi>r</mi><mi>f</mi></mrow></msub><mo>≤</mo></mrow></semantics></math></inline-formula> 0.005). The algorithm is based on statistical simulation by the Monte Carlo method of radiation transfer in stochastic broken cloudiness with a deterministic cylindrical gap. An interpolation formula is obtained for the radius of the cloud adjacency effect that can be used for the reconstruction the ground surface reflectance in real time without calculations by the Monte Carlo method.
format	article
author	Mikhail V. Tarasenkov Matvei N. Zonov Marina V. Engel Vladimir V. Belov
author_facet	Mikhail V. Tarasenkov Matvei N. Zonov Marina V. Engel Vladimir V. Belov
author_sort	Mikhail V. Tarasenkov
title	A Method for Estimating the Cloud Adjacency Effect on the Ground Surface Reflectance Reconstruction from Passive Satellite Observations through Gaps in Cloud Fields
title_short	A Method for Estimating the Cloud Adjacency Effect on the Ground Surface Reflectance Reconstruction from Passive Satellite Observations through Gaps in Cloud Fields
title_full	A Method for Estimating the Cloud Adjacency Effect on the Ground Surface Reflectance Reconstruction from Passive Satellite Observations through Gaps in Cloud Fields
title_fullStr	A Method for Estimating the Cloud Adjacency Effect on the Ground Surface Reflectance Reconstruction from Passive Satellite Observations through Gaps in Cloud Fields
title_full_unstemmed	A Method for Estimating the Cloud Adjacency Effect on the Ground Surface Reflectance Reconstruction from Passive Satellite Observations through Gaps in Cloud Fields
title_sort	method for estimating the cloud adjacency effect on the ground surface reflectance reconstruction from passive satellite observations through gaps in cloud fields
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/ddaadc4c4e7e4a9faf8bc005e3c13c81
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A Method for Estimating the Cloud Adjacency Effect on the Ground Surface Reflectance Reconstruction from Passive Satellite Observations through Gaps in Cloud Fields

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