Polychlorinated biphenyls (PCBs) in the Arctic atmosphere: determining important driving forces using a global atmospheric transport model, 1979-2010
We present a spatially and temporally resolved global atmospheric polychlorinated biphenyl (PCB) model, driven by meteorological data, that is skilled at simulating mean atmospheric PCB concentrations and seasonal cycles in the Northern Hemisphere midlatitudes and mean Arctic concentrations. However...
Main Author: | |
---|---|
Format: | Dataset |
Language: | unknown |
Published: |
Arctic Data Center
2016
|
Subjects: | |
Online Access: | https://doi.org/10.18739/A2W08WH4P |
id |
dataone:doi:10.18739/A2W08WH4P |
---|---|
record_format |
openpolar |
spelling |
dataone:doi:10.18739/A2W08WH4P 2023-11-08T14:14:15+01:00 Polychlorinated biphenyls (PCBs) in the Arctic atmosphere: determining important driving forces using a global atmospheric transport model, 1979-2010 Carey Friedman Global simulation but focused on the Arctic (above 66 N) ENVELOPE(-180.0,-50.0,90.0,66.0) BEGINDATE: 1979-01-01T00:00:00Z ENDDATE: 2010-01-01T00:00:00Z 2016-12-28T00:00:00Z https://doi.org/10.18739/A2W08WH4P unknown Arctic Data Center PCBs Arctic long range transport re-emissions volatilization Dataset 2016 dataone:urn:node:ARCTIC https://doi.org/10.18739/A2W08WH4P 2023-11-08T13:46:20Z We present a spatially and temporally resolved global atmospheric polychlorinated biphenyl (PCB) model, driven by meteorological data, that is skilled at simulating mean atmospheric PCB concentrations and seasonal cycles in the Northern Hemisphere midlatitudes and mean Arctic concentrations. However, the model does not capture the ob- served Arctic summer maximum in atmospheric PCBs. We use the model to estimate global budgets for seven PCB con- geners, and we demonstrate that congeners that deposit more readily show lower potential for long-range transport, consistent with a recently described "differential removal hypothesis" regarding the hemispheric transport of PCBs. Using sensitivity simulations to assess processes within, outside, or transport to the Arctic, we examine the influence of climate- and emissions-driven processes on Arctic concentrations and their effect on improving the simulated Arctic seasonal cycle. We find evidence that processes occurring outside the Arctic have a greater influence on Arctic atmospheric PCB levels than processes that occur within the Arctic. Our simulations suggest that re-emissions from sea ice melting or from the Arctic Ocean during summer would have to be unrealistically high in order to capture observed temporal trends of PCBs in the Arctic atmosphere. We conclude that midlatitude pro- cesses are likely to have a greater effect on the Arctic under global change scenarios than re-emissions within the Arctic. Dataset Arctic Arctic Ocean Sea ice Arctic Data Center (via DataONE) Arctic Arctic Ocean ENVELOPE(-180.0,-50.0,90.0,66.0) |
institution |
Open Polar |
collection |
Arctic Data Center (via DataONE) |
op_collection_id |
dataone:urn:node:ARCTIC |
language |
unknown |
topic |
PCBs Arctic long range transport re-emissions volatilization |
spellingShingle |
PCBs Arctic long range transport re-emissions volatilization Carey Friedman Polychlorinated biphenyls (PCBs) in the Arctic atmosphere: determining important driving forces using a global atmospheric transport model, 1979-2010 |
topic_facet |
PCBs Arctic long range transport re-emissions volatilization |
description |
We present a spatially and temporally resolved global atmospheric polychlorinated biphenyl (PCB) model, driven by meteorological data, that is skilled at simulating mean atmospheric PCB concentrations and seasonal cycles in the Northern Hemisphere midlatitudes and mean Arctic concentrations. However, the model does not capture the ob- served Arctic summer maximum in atmospheric PCBs. We use the model to estimate global budgets for seven PCB con- geners, and we demonstrate that congeners that deposit more readily show lower potential for long-range transport, consistent with a recently described "differential removal hypothesis" regarding the hemispheric transport of PCBs. Using sensitivity simulations to assess processes within, outside, or transport to the Arctic, we examine the influence of climate- and emissions-driven processes on Arctic concentrations and their effect on improving the simulated Arctic seasonal cycle. We find evidence that processes occurring outside the Arctic have a greater influence on Arctic atmospheric PCB levels than processes that occur within the Arctic. Our simulations suggest that re-emissions from sea ice melting or from the Arctic Ocean during summer would have to be unrealistically high in order to capture observed temporal trends of PCBs in the Arctic atmosphere. We conclude that midlatitude pro- cesses are likely to have a greater effect on the Arctic under global change scenarios than re-emissions within the Arctic. |
format |
Dataset |
author |
Carey Friedman |
author_facet |
Carey Friedman |
author_sort |
Carey Friedman |
title |
Polychlorinated biphenyls (PCBs) in the Arctic atmosphere: determining important driving forces using a global atmospheric transport model, 1979-2010 |
title_short |
Polychlorinated biphenyls (PCBs) in the Arctic atmosphere: determining important driving forces using a global atmospheric transport model, 1979-2010 |
title_full |
Polychlorinated biphenyls (PCBs) in the Arctic atmosphere: determining important driving forces using a global atmospheric transport model, 1979-2010 |
title_fullStr |
Polychlorinated biphenyls (PCBs) in the Arctic atmosphere: determining important driving forces using a global atmospheric transport model, 1979-2010 |
title_full_unstemmed |
Polychlorinated biphenyls (PCBs) in the Arctic atmosphere: determining important driving forces using a global atmospheric transport model, 1979-2010 |
title_sort |
polychlorinated biphenyls (pcbs) in the arctic atmosphere: determining important driving forces using a global atmospheric transport model, 1979-2010 |
publisher |
Arctic Data Center |
publishDate |
2016 |
url |
https://doi.org/10.18739/A2W08WH4P |
op_coverage |
Global simulation but focused on the Arctic (above 66 N) ENVELOPE(-180.0,-50.0,90.0,66.0) BEGINDATE: 1979-01-01T00:00:00Z ENDDATE: 2010-01-01T00:00:00Z |
long_lat |
ENVELOPE(-180.0,-50.0,90.0,66.0) |
geographic |
Arctic Arctic Ocean |
geographic_facet |
Arctic Arctic Ocean |
genre |
Arctic Arctic Ocean Sea ice |
genre_facet |
Arctic Arctic Ocean Sea ice |
op_doi |
https://doi.org/10.18739/A2W08WH4P |
_version_ |
1782012340495974400 |