Trend estimates of AERONET-observed and model-simulated AOTs between 1993 and 2013

Recently, temporal changes in Aerosol Optical Thickness (AOT) have been investigated based on model simulations, satellite and ground-based observations. Most AOT trend studies used monthly or annual arithmetic means that discard details of the generally right-skewed AOT distributions. Potentially,...

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Published in:Atmospheric Environment
Main Authors: Yoon, J., Pozzer, A., Chang, D., Lelieveld, J., Kim, J., Kim, M., Lee, Y., Koo, J., Lee, J., Moon, K.
Format: Article in Journal/Newspaper
Language:unknown
Published: 2016
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Online Access:http://hdl.handle.net/11858/00-001M-0000-002A-1671-0
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spelling ftpubman:oai:pure.mpg.de:item_2260694 2023-08-20T03:59:13+02:00 Trend estimates of AERONET-observed and model-simulated AOTs between 1993 and 2013 Yoon, J. Pozzer, A. Chang, D. Lelieveld, J. Kim, J. Kim, M. Lee, Y. Koo, J. Lee, J. Moon, K. 2016-01 http://hdl.handle.net/11858/00-001M-0000-002A-1671-0 unknown info:eu-repo/semantics/altIdentifier/doi/10.1016/j.atmosenv.2015.10.058 http://hdl.handle.net/11858/00-001M-0000-002A-1671-0 Atmospheric Environment info:eu-repo/semantics/article 2016 ftpubman https://doi.org/10.1016/j.atmosenv.2015.10.058 2023-08-01T22:00:57Z Recently, temporal changes in Aerosol Optical Thickness (AOT) have been investigated based on model simulations, satellite and ground-based observations. Most AOT trend studies used monthly or annual arithmetic means that discard details of the generally right-skewed AOT distributions. Potentially, such results can be biased by extreme values (including outliers). This study additionally uses percentiles (i.e., the lowest 5%, 25%, 50%, 75% and 95% of the monthly cumulative distributions fitted to Aerosol Robotic Network (AERONET)-observed and ECHAM/MESSy Atmospheric Chemistry (EMAC)-model simulated AOTs) that are less affected by outliers caused by measurement error, cloud contamination and occasional extreme aerosol events. Since the limited statistical representativeness of monthly percentiles and means can lead to bias, this study adopts the number of observations as a weighting factor, which improves the statistical robustness of trend estimates. By analyzing the aerosol composition of AERONET-observed and EMAC-simulated AOTs in selected regions of interest, we distinguish the dominant aerosol types and investigate the causes of regional AOT trends. The simulated and observed trends are generally consistent with a high correlation coefficient (R = 0.89) and small bias (slope +/- 2 sigma = 0.75 +/- 0.19). A significant decrease in EMAC-decomposed AOTs by water-soluble compounds and black carbon is found over the USA and the EU due to environmental regulation. In particular, a clear reversal in the AERONET AOT trend percentiles is found over the USA, probably related to the AOT diurnal cycle and the frequency of wildfires. In most of the selected regions of interest, EMAC-simulated trends are mainly attributed to the significant changes of the dominant aerosols; e.g., significant decrease in sea salt and water soluble compounds over Central America, increase in dust over Northern Africa and Middle East, and decrease in black carbon and organic carbon over Australia. (C) 2015 The Authors. Published by Elsevier ... Article in Journal/Newspaper Aerosol Robotic Network Max Planck Society: MPG.PuRe Atmospheric Environment 125 33 47
institution Open Polar
collection Max Planck Society: MPG.PuRe
op_collection_id ftpubman
language unknown
description Recently, temporal changes in Aerosol Optical Thickness (AOT) have been investigated based on model simulations, satellite and ground-based observations. Most AOT trend studies used monthly or annual arithmetic means that discard details of the generally right-skewed AOT distributions. Potentially, such results can be biased by extreme values (including outliers). This study additionally uses percentiles (i.e., the lowest 5%, 25%, 50%, 75% and 95% of the monthly cumulative distributions fitted to Aerosol Robotic Network (AERONET)-observed and ECHAM/MESSy Atmospheric Chemistry (EMAC)-model simulated AOTs) that are less affected by outliers caused by measurement error, cloud contamination and occasional extreme aerosol events. Since the limited statistical representativeness of monthly percentiles and means can lead to bias, this study adopts the number of observations as a weighting factor, which improves the statistical robustness of trend estimates. By analyzing the aerosol composition of AERONET-observed and EMAC-simulated AOTs in selected regions of interest, we distinguish the dominant aerosol types and investigate the causes of regional AOT trends. The simulated and observed trends are generally consistent with a high correlation coefficient (R = 0.89) and small bias (slope +/- 2 sigma = 0.75 +/- 0.19). A significant decrease in EMAC-decomposed AOTs by water-soluble compounds and black carbon is found over the USA and the EU due to environmental regulation. In particular, a clear reversal in the AERONET AOT trend percentiles is found over the USA, probably related to the AOT diurnal cycle and the frequency of wildfires. In most of the selected regions of interest, EMAC-simulated trends are mainly attributed to the significant changes of the dominant aerosols; e.g., significant decrease in sea salt and water soluble compounds over Central America, increase in dust over Northern Africa and Middle East, and decrease in black carbon and organic carbon over Australia. (C) 2015 The Authors. Published by Elsevier ...
format Article in Journal/Newspaper
author Yoon, J.
Pozzer, A.
Chang, D.
Lelieveld, J.
Kim, J.
Kim, M.
Lee, Y.
Koo, J.
Lee, J.
Moon, K.
spellingShingle Yoon, J.
Pozzer, A.
Chang, D.
Lelieveld, J.
Kim, J.
Kim, M.
Lee, Y.
Koo, J.
Lee, J.
Moon, K.
Trend estimates of AERONET-observed and model-simulated AOTs between 1993 and 2013
author_facet Yoon, J.
Pozzer, A.
Chang, D.
Lelieveld, J.
Kim, J.
Kim, M.
Lee, Y.
Koo, J.
Lee, J.
Moon, K.
author_sort Yoon, J.
title Trend estimates of AERONET-observed and model-simulated AOTs between 1993 and 2013
title_short Trend estimates of AERONET-observed and model-simulated AOTs between 1993 and 2013
title_full Trend estimates of AERONET-observed and model-simulated AOTs between 1993 and 2013
title_fullStr Trend estimates of AERONET-observed and model-simulated AOTs between 1993 and 2013
title_full_unstemmed Trend estimates of AERONET-observed and model-simulated AOTs between 1993 and 2013
title_sort trend estimates of aeronet-observed and model-simulated aots between 1993 and 2013
publishDate 2016
url http://hdl.handle.net/11858/00-001M-0000-002A-1671-0
genre Aerosol Robotic Network
genre_facet Aerosol Robotic Network
op_source Atmospheric Environment
op_relation info:eu-repo/semantics/altIdentifier/doi/10.1016/j.atmosenv.2015.10.058
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container_title Atmospheric Environment
container_volume 125
container_start_page 33
op_container_end_page 47
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