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Harmonized and high-quality datasets of aerosol optical depth at a US continental site, 1997–2018

Aerosol optical depth (AOD) characterizes the aerosol burden in the atmosphere, while its wavelength dependence is a sign of particle size. Long-term records of wavelength-resolved AOD with high quality and suitable continuity are required for climate change assessment. Typically, climate-related st...

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Autores principales: Kassianov, Evgueni, Cromwell, Erol, Monroe, Justin, Riihimaki, Laura D., Flynn, Connor, Barnard, Jaime, Michalsky, Joseph J., Hodges, Gary, Shi, Yan, Comstock, Jennifer M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7952417/
https://www.ncbi.nlm.nih.gov/pubmed/33707444
http://dx.doi.org/10.1038/s41597-021-00866-2
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author Kassianov, Evgueni
Cromwell, Erol
Monroe, Justin
Riihimaki, Laura D.
Flynn, Connor
Barnard, Jaime
Michalsky, Joseph J.
Hodges, Gary
Shi, Yan
Comstock, Jennifer M.
author_facet Kassianov, Evgueni
Cromwell, Erol
Monroe, Justin
Riihimaki, Laura D.
Flynn, Connor
Barnard, Jaime
Michalsky, Joseph J.
Hodges, Gary
Shi, Yan
Comstock, Jennifer M.
author_sort Kassianov, Evgueni
collection PubMed
description Aerosol optical depth (AOD) characterizes the aerosol burden in the atmosphere, while its wavelength dependence is a sign of particle size. Long-term records of wavelength-resolved AOD with high quality and suitable continuity are required for climate change assessment. Typically, climate-related studies use AOD products provided by several, and perhaps different, ground-based instruments. The measurements from these instruments often have different accuracy and temporal resolution. To preserve the advantages of these products (high quality) and to reduce their disadvantages (patchy records), we generate a merged dataset obtained from four instruments deployed at a US continental site in which a nearly-continuous AOD record is found at two wavelengths (500 and 870 nm) with high quality and high temporal resolution (1-min) for a 21-yr period (1997–2018). The combined dataset addresses: (1) varying data quality and resolution mismatch of the individual AOD records, and (2) the uncertainty of the merged AOD and its relevance for user-specified needs. The generated dataset will be beneficial for a wide range of applications including aerosol-radiation interactions.
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spelling pubmed-79524172021-03-28 Harmonized and high-quality datasets of aerosol optical depth at a US continental site, 1997–2018 Kassianov, Evgueni Cromwell, Erol Monroe, Justin Riihimaki, Laura D. Flynn, Connor Barnard, Jaime Michalsky, Joseph J. Hodges, Gary Shi, Yan Comstock, Jennifer M. Sci Data Data Descriptor Aerosol optical depth (AOD) characterizes the aerosol burden in the atmosphere, while its wavelength dependence is a sign of particle size. Long-term records of wavelength-resolved AOD with high quality and suitable continuity are required for climate change assessment. Typically, climate-related studies use AOD products provided by several, and perhaps different, ground-based instruments. The measurements from these instruments often have different accuracy and temporal resolution. To preserve the advantages of these products (high quality) and to reduce their disadvantages (patchy records), we generate a merged dataset obtained from four instruments deployed at a US continental site in which a nearly-continuous AOD record is found at two wavelengths (500 and 870 nm) with high quality and high temporal resolution (1-min) for a 21-yr period (1997–2018). The combined dataset addresses: (1) varying data quality and resolution mismatch of the individual AOD records, and (2) the uncertainty of the merged AOD and its relevance for user-specified needs. The generated dataset will be beneficial for a wide range of applications including aerosol-radiation interactions. Nature Publishing Group UK 2021-03-11 /pmc/articles/PMC7952417/ /pubmed/33707444 http://dx.doi.org/10.1038/s41597-021-00866-2 Text en © Battelle Memorial Institute 2021 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/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article.
spellingShingle Data Descriptor
Kassianov, Evgueni
Cromwell, Erol
Monroe, Justin
Riihimaki, Laura D.
Flynn, Connor
Barnard, Jaime
Michalsky, Joseph J.
Hodges, Gary
Shi, Yan
Comstock, Jennifer M.
Harmonized and high-quality datasets of aerosol optical depth at a US continental site, 1997–2018
title Harmonized and high-quality datasets of aerosol optical depth at a US continental site, 1997–2018
title_full Harmonized and high-quality datasets of aerosol optical depth at a US continental site, 1997–2018
title_fullStr Harmonized and high-quality datasets of aerosol optical depth at a US continental site, 1997–2018
title_full_unstemmed Harmonized and high-quality datasets of aerosol optical depth at a US continental site, 1997–2018
title_short Harmonized and high-quality datasets of aerosol optical depth at a US continental site, 1997–2018
title_sort harmonized and high-quality datasets of aerosol optical depth at a us continental site, 1997–2018
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7952417/
https://www.ncbi.nlm.nih.gov/pubmed/33707444
http://dx.doi.org/10.1038/s41597-021-00866-2
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