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Simulated Inherent Optical Properties of Aquatic Particles using The Equivalent Algal Populations (EAP) model

Paired measurements of phytoplankton absorption and backscatter, the inherent optical properties central to the interpretation of ocean colour remote sensing data, are notoriously rare. We present a dataset of Chlorophyll a (Chl a) -specific phytoplankton absorption, scatter and backscatter for 17 d...

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Autores principales: Lain, Lisl Robertson, Kravitz, Jeremy, Matthews, Mark, Bernard, Stewart
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10290707/
https://www.ncbi.nlm.nih.gov/pubmed/37355642
http://dx.doi.org/10.1038/s41597-023-02310-z
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author Lain, Lisl Robertson
Kravitz, Jeremy
Matthews, Mark
Bernard, Stewart
author_facet Lain, Lisl Robertson
Kravitz, Jeremy
Matthews, Mark
Bernard, Stewart
author_sort Lain, Lisl Robertson
collection PubMed
description Paired measurements of phytoplankton absorption and backscatter, the inherent optical properties central to the interpretation of ocean colour remote sensing data, are notoriously rare. We present a dataset of Chlorophyll a (Chl a) -specific phytoplankton absorption, scatter and backscatter for 17 different phytoplankton groups, derived from first principles using measured in vivo pigment absorption and a well-validated semi-analytical coated sphere model which simulates the full suite of biophysically consistent phytoplankton optical properties. The optical properties of each simulated phytoplankton cell are integrated over an entire size distribution and are provided at high spectral resolution. The model code is additionally included to enable user access to the complete set of wavelength-dependent, angularly resolved volume scattering functions. This optically coherent dataset of hyperspectral optical properties for a set of globally significant phytoplankton groups has potential for use in algorithm development towards the optimal exploitation of the new age of hyperspectral satellite radiometry.
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spelling pubmed-102907072023-06-26 Simulated Inherent Optical Properties of Aquatic Particles using The Equivalent Algal Populations (EAP) model Lain, Lisl Robertson Kravitz, Jeremy Matthews, Mark Bernard, Stewart Sci Data Data Descriptor Paired measurements of phytoplankton absorption and backscatter, the inherent optical properties central to the interpretation of ocean colour remote sensing data, are notoriously rare. We present a dataset of Chlorophyll a (Chl a) -specific phytoplankton absorption, scatter and backscatter for 17 different phytoplankton groups, derived from first principles using measured in vivo pigment absorption and a well-validated semi-analytical coated sphere model which simulates the full suite of biophysically consistent phytoplankton optical properties. The optical properties of each simulated phytoplankton cell are integrated over an entire size distribution and are provided at high spectral resolution. The model code is additionally included to enable user access to the complete set of wavelength-dependent, angularly resolved volume scattering functions. This optically coherent dataset of hyperspectral optical properties for a set of globally significant phytoplankton groups has potential for use in algorithm development towards the optimal exploitation of the new age of hyperspectral satellite radiometry. Nature Publishing Group UK 2023-06-24 /pmc/articles/PMC10290707/ /pubmed/37355642 http://dx.doi.org/10.1038/s41597-023-02310-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Data Descriptor
Lain, Lisl Robertson
Kravitz, Jeremy
Matthews, Mark
Bernard, Stewart
Simulated Inherent Optical Properties of Aquatic Particles using The Equivalent Algal Populations (EAP) model
title Simulated Inherent Optical Properties of Aquatic Particles using The Equivalent Algal Populations (EAP) model
title_full Simulated Inherent Optical Properties of Aquatic Particles using The Equivalent Algal Populations (EAP) model
title_fullStr Simulated Inherent Optical Properties of Aquatic Particles using The Equivalent Algal Populations (EAP) model
title_full_unstemmed Simulated Inherent Optical Properties of Aquatic Particles using The Equivalent Algal Populations (EAP) model
title_short Simulated Inherent Optical Properties of Aquatic Particles using The Equivalent Algal Populations (EAP) model
title_sort simulated inherent optical properties of aquatic particles using the equivalent algal populations (eap) model
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10290707/
https://www.ncbi.nlm.nih.gov/pubmed/37355642
http://dx.doi.org/10.1038/s41597-023-02310-z
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