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: W. Wandji Nyamsi, A. Lipponen, A. Sanchez-Lorenzo, M. Wild, A. Arola
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2020
Subjects:
Online Access:https://doi.org/10.5194/amt-13-3061-2020
https://doaj.org/article/ef51f866b5eb45ad9e9ccf10ae9f4faf
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spelling ftdoajarticles:oai:doaj.org/article:ef51f866b5eb45ad9e9ccf10ae9f4faf 2023-05-15T13:06:09+02:00 A hybrid method for reconstructing the historical evolution of aerosol optical depth from sunshine duration measurements W. Wandji Nyamsi A. Lipponen A. Sanchez-Lorenzo M. Wild A. Arola 2020-06-01T00:00:00Z https://doi.org/10.5194/amt-13-3061-2020 https://doaj.org/article/ef51f866b5eb45ad9e9ccf10ae9f4faf EN eng Copernicus Publications https://www.atmos-meas-tech.net/13/3061/2020/amt-13-3061-2020.pdf https://doaj.org/toc/1867-1381 https://doaj.org/toc/1867-8548 doi:10.5194/amt-13-3061-2020 1867-1381 1867-8548 https://doaj.org/article/ef51f866b5eb45ad9e9ccf10ae9f4faf Atmospheric Measurement Techniques, Vol 13, Pp 3061-3079 (2020) Environmental engineering TA170-171 Earthwork. Foundations TA715-787 article 2020 ftdoajarticles https://doi.org/10.5194/amt-13-3061-2020 2022-12-31T12:14:50Z 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 Directory of Open Access Journals: DOAJ Articles Atmospheric Measurement Techniques 13 6 3061 3079
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Environmental engineering
TA170-171
Earthwork. Foundations
TA715-787
spellingShingle Environmental engineering
TA170-171
Earthwork. Foundations
TA715-787
W. Wandji Nyamsi
A. Lipponen
A. Sanchez-Lorenzo
M. Wild
A. Arola
A hybrid method for reconstructing the historical evolution of aerosol optical depth from sunshine duration measurements
topic_facet Environmental engineering
TA170-171
Earthwork. Foundations
TA715-787
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 W. Wandji Nyamsi
A. Lipponen
A. Sanchez-Lorenzo
M. Wild
A. Arola
author_facet W. Wandji Nyamsi
A. Lipponen
A. Sanchez-Lorenzo
M. Wild
A. Arola
author_sort W. Wandji Nyamsi
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://doaj.org/article/ef51f866b5eb45ad9e9ccf10ae9f4faf
genre Aerosol Robotic Network
genre_facet Aerosol Robotic Network
op_source Atmospheric Measurement Techniques, Vol 13, Pp 3061-3079 (2020)
op_relation https://www.atmos-meas-tech.net/13/3061/2020/amt-13-3061-2020.pdf
https://doaj.org/toc/1867-1381
https://doaj.org/toc/1867-8548
doi:10.5194/amt-13-3061-2020
1867-1381
1867-8548
https://doaj.org/article/ef51f866b5eb45ad9e9ccf10ae9f4faf
op_doi https://doi.org/10.5194/amt-13-3061-2020
container_title Atmospheric Measurement Techniques
container_volume 13
container_issue 6
container_start_page 3061
op_container_end_page 3079
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