A hybrid method for reconstructing the historical evolution of aerosol optical depth from sunshine duration measurements

A novel method has been developed to estimate aerosol optical depth (AOD) from sunshine duration (SD) measurements under cloud-free conditions. It is a physically based method serving for the reconstruction of the historical evolution of AOD during the last century. In addition to sunshine duration...

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Published in:Atmospheric Measurement Techniques
Main Authors: Wandji Nyamsi, William, Lipponen, Antti, Sanchez-Lorenzo, Arturo, Wild, Martin, Arola, Antti
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2020
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Online Access:https://doi.org/10.5194/amt-13-3061-2020
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spelling ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00051760 2023-05-15T13:06:07+02:00 A hybrid method for reconstructing the historical evolution of aerosol optical depth from sunshine duration measurements Wandji Nyamsi, William Lipponen, Antti Sanchez-Lorenzo, Arturo Wild, Martin Arola, Antti 2020-06 electronic https://doi.org/10.5194/amt-13-3061-2020 https://noa.gwlb.de/receive/cop_mods_00051760 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00051416/amt-13-3061-2020.pdf https://amt.copernicus.org/articles/13/3061/2020/amt-13-3061-2020.pdf eng eng Copernicus Publications Atmospheric Measurement Techniques -- http://www.bibliothek.uni-regensburg.de/ezeit/?2505596 -- http://www.atmospheric-measurement-techniques.net/ -- 1867-8548 https://doi.org/10.5194/amt-13-3061-2020 https://noa.gwlb.de/receive/cop_mods_00051760 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00051416/amt-13-3061-2020.pdf https://amt.copernicus.org/articles/13/3061/2020/amt-13-3061-2020.pdf https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess CC-BY article Verlagsveröffentlichung article Text doc-type:article 2020 ftnonlinearchiv https://doi.org/10.5194/amt-13-3061-2020 2022-02-08T22:36:16Z A novel method has been developed to estimate aerosol optical depth (AOD) from sunshine duration (SD) measurements under cloud-free conditions. It is a physically based method serving for the reconstruction of the historical evolution of AOD during the last century. In addition to sunshine duration data, it requires daily water vapor and ozone products as inputs taken from the ECMWF 20th century reanalysis ERA-20C, available at the global scale over the period 1900–2010. Surface synoptic cloud observations are used to identify cloud-free days. For 16 sites over Europe, the accuracy of the estimated daily AOD, and its seasonal variability, is similar to or better than those from two earlier methods when compared to AErosol RObotic NETwork measurements. In addition, it also improves the detection of the signal from massive aerosol events such as important volcanic eruptions (e.g., Arenal and Fernandina Island in 1968, El Chichón in 1982 and Pinatubo in 1992). Finally, the reconstructed AOD time series are in good agreement with the dimming/brightening phenomenon and also provide preliminary evidence of the early-brightening phenomenon. Article in Journal/Newspaper Aerosol Robotic Network Niedersächsisches Online-Archiv NOA Atmospheric Measurement Techniques 13 6 3061 3079
institution Open Polar
collection Niedersächsisches Online-Archiv NOA
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language English
topic article
Verlagsveröffentlichung
spellingShingle article
Verlagsveröffentlichung
Wandji Nyamsi, William
Lipponen, Antti
Sanchez-Lorenzo, Arturo
Wild, Martin
Arola, Antti
A hybrid method for reconstructing the historical evolution of aerosol optical depth from sunshine duration measurements
topic_facet article
Verlagsveröffentlichung
description A novel method has been developed to estimate aerosol optical depth (AOD) from sunshine duration (SD) measurements under cloud-free conditions. It is a physically based method serving for the reconstruction of the historical evolution of AOD during the last century. In addition to sunshine duration data, it requires daily water vapor and ozone products as inputs taken from the ECMWF 20th century reanalysis ERA-20C, available at the global scale over the period 1900–2010. Surface synoptic cloud observations are used to identify cloud-free days. For 16 sites over Europe, the accuracy of the estimated daily AOD, and its seasonal variability, is similar to or better than those from two earlier methods when compared to AErosol RObotic NETwork measurements. In addition, it also improves the detection of the signal from massive aerosol events such as important volcanic eruptions (e.g., Arenal and Fernandina Island in 1968, El Chichón in 1982 and Pinatubo in 1992). Finally, the reconstructed AOD time series are in good agreement with the dimming/brightening phenomenon and also provide preliminary evidence of the early-brightening phenomenon.
format Article in Journal/Newspaper
author Wandji Nyamsi, William
Lipponen, Antti
Sanchez-Lorenzo, Arturo
Wild, Martin
Arola, Antti
author_facet Wandji Nyamsi, William
Lipponen, Antti
Sanchez-Lorenzo, Arturo
Wild, Martin
Arola, Antti
author_sort Wandji Nyamsi, William
title A hybrid method for reconstructing the historical evolution of aerosol optical depth from sunshine duration measurements
title_short A hybrid method for reconstructing the historical evolution of aerosol optical depth from sunshine duration measurements
title_full A hybrid method for reconstructing the historical evolution of aerosol optical depth from sunshine duration measurements
title_fullStr A hybrid method for reconstructing the historical evolution of aerosol optical depth from sunshine duration measurements
title_full_unstemmed A hybrid method for reconstructing the historical evolution of aerosol optical depth from sunshine duration measurements
title_sort hybrid method for reconstructing the historical evolution of aerosol optical depth from sunshine duration measurements
publisher Copernicus Publications
publishDate 2020
url https://doi.org/10.5194/amt-13-3061-2020
https://noa.gwlb.de/receive/cop_mods_00051760
https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00051416/amt-13-3061-2020.pdf
https://amt.copernicus.org/articles/13/3061/2020/amt-13-3061-2020.pdf
genre Aerosol Robotic Network
genre_facet Aerosol Robotic Network
op_relation Atmospheric Measurement Techniques -- http://www.bibliothek.uni-regensburg.de/ezeit/?2505596 -- http://www.atmospheric-measurement-techniques.net/ -- 1867-8548
https://doi.org/10.5194/amt-13-3061-2020
https://noa.gwlb.de/receive/cop_mods_00051760
https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00051416/amt-13-3061-2020.pdf
https://amt.copernicus.org/articles/13/3061/2020/amt-13-3061-2020.pdf
op_rights https://creativecommons.org/licenses/by/4.0/
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op_doi https://doi.org/10.5194/amt-13-3061-2020
container_title Atmospheric Measurement Techniques
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