Exploring the Constraints on Simulated Aerosol Sources and Transport Across the North Atlantic With Island‐Based Sun Photometers
Atmospheric aerosol over the North Atlantic Ocean impacts regional clouds and climate. In this work, we use a set of sun photometer observations of aerosol optical depth (AOD) located on the Graciosa and Cape Verde islands, along with the GEOS‐Chem chemical transport model to investigate the sources...
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ftpubmed:oai:pubmedcentral.nih.gov:7757267 2023-05-15T17:28:43+02:00 Exploring the Constraints on Simulated Aerosol Sources and Transport Across the North Atlantic With Island‐Based Sun Photometers Silva, Sam J. Ridley, David A. Heald, Colette L. 2020-11-16 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7757267/ http://www.ncbi.nlm.nih.gov/pubmed/33381616 https://doi.org/10.1029/2020EA001392 en eng John Wiley and Sons Inc. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7757267/ http://www.ncbi.nlm.nih.gov/pubmed/33381616 http://dx.doi.org/10.1029/2020EA001392 ©2020. The Authors. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. CC-BY Earth Space Sci Research Articles Text 2020 ftpubmed https://doi.org/10.1029/2020EA001392 2021-01-03T01:41:03Z Atmospheric aerosol over the North Atlantic Ocean impacts regional clouds and climate. In this work, we use a set of sun photometer observations of aerosol optical depth (AOD) located on the Graciosa and Cape Verde islands, along with the GEOS‐Chem chemical transport model to investigate the sources of these aerosol and their transport over the North Atlantic Ocean. At both locations, the largest simulated contributor to aerosol extinction is the local source of sea‐salt aerosol. In addition to this large source, we find that signatures consistent with long‐range transport of anthropogenic, biomass burning, and dust emissions are apparent throughout the year at both locations. Model simulations suggest that this signal of long‐range transport in AOD is more apparent at higher elevation locations; the influence of anthropogenic and biomass burning aerosol extinction is particularly pronounced at the height of Pico Mountain, near the Graciosa Island site. Using a machine learning approach, we further show that simulated observations at these three sites (near Graciosa, Pico Mountain, and Cape Verde) can be used to predict the simulated background aerosol imported into cities on the European mainland, particularly during the local winter months, highlighting the utility of background AOD monitoring for understanding downwind air quality. Text North Atlantic PubMed Central (PMC) Earth and Space Science 7 11 |
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Research Articles |
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Research Articles Silva, Sam J. Ridley, David A. Heald, Colette L. Exploring the Constraints on Simulated Aerosol Sources and Transport Across the North Atlantic With Island‐Based Sun Photometers |
topic_facet |
Research Articles |
description |
Atmospheric aerosol over the North Atlantic Ocean impacts regional clouds and climate. In this work, we use a set of sun photometer observations of aerosol optical depth (AOD) located on the Graciosa and Cape Verde islands, along with the GEOS‐Chem chemical transport model to investigate the sources of these aerosol and their transport over the North Atlantic Ocean. At both locations, the largest simulated contributor to aerosol extinction is the local source of sea‐salt aerosol. In addition to this large source, we find that signatures consistent with long‐range transport of anthropogenic, biomass burning, and dust emissions are apparent throughout the year at both locations. Model simulations suggest that this signal of long‐range transport in AOD is more apparent at higher elevation locations; the influence of anthropogenic and biomass burning aerosol extinction is particularly pronounced at the height of Pico Mountain, near the Graciosa Island site. Using a machine learning approach, we further show that simulated observations at these three sites (near Graciosa, Pico Mountain, and Cape Verde) can be used to predict the simulated background aerosol imported into cities on the European mainland, particularly during the local winter months, highlighting the utility of background AOD monitoring for understanding downwind air quality. |
format |
Text |
author |
Silva, Sam J. Ridley, David A. Heald, Colette L. |
author_facet |
Silva, Sam J. Ridley, David A. Heald, Colette L. |
author_sort |
Silva, Sam J. |
title |
Exploring the Constraints on Simulated Aerosol Sources and Transport Across the North Atlantic With Island‐Based Sun Photometers |
title_short |
Exploring the Constraints on Simulated Aerosol Sources and Transport Across the North Atlantic With Island‐Based Sun Photometers |
title_full |
Exploring the Constraints on Simulated Aerosol Sources and Transport Across the North Atlantic With Island‐Based Sun Photometers |
title_fullStr |
Exploring the Constraints on Simulated Aerosol Sources and Transport Across the North Atlantic With Island‐Based Sun Photometers |
title_full_unstemmed |
Exploring the Constraints on Simulated Aerosol Sources and Transport Across the North Atlantic With Island‐Based Sun Photometers |
title_sort |
exploring the constraints on simulated aerosol sources and transport across the north atlantic with island‐based sun photometers |
publisher |
John Wiley and Sons Inc. |
publishDate |
2020 |
url |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7757267/ http://www.ncbi.nlm.nih.gov/pubmed/33381616 https://doi.org/10.1029/2020EA001392 |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_source |
Earth Space Sci |
op_relation |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7757267/ http://www.ncbi.nlm.nih.gov/pubmed/33381616 http://dx.doi.org/10.1029/2020EA001392 |
op_rights |
©2020. The Authors. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
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CC-BY |
op_doi |
https://doi.org/10.1029/2020EA001392 |
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Earth and Space Science |
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7 |
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11 |
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1766121567470747648 |