PCBs in the Arctic atmosphere: determining important driving forces using a global atmospheric transport model ...
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...
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| Format: | Dataset |
| Language: | English |
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Arctic Data Center
2016
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| Online Access: | https://dx.doi.org/10.18739/a2t14tp2b https://arcticdata.io/catalog/view/doi:10.18739/A2T14TP2B |
| Summary: | 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 ... |
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