Impacts of climate change on regional and urban air quality in the eastern United States: Role of meteorology. Dawson, J., P., Racherla, P., N., Lynn, B., H., Adams, P., J., & Pandis, S., N. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 3, 2009. abstract bibtex The effects of climate change on ozone and PM2.5 concentrations over
the eastern United States were investigated using the Global-Regional
Coupled Air Pollution modeling System (GRE-CAPS). GRE-CAPS consists of
the Goddard Institute for Space Studies (GISS) II' general circulation
model with aerosol processes and ozone chemistry, the fifth-generation
PSU/NCAR mesoscale model (MM5) regional meteorological model, and the
Comprehensive Air Quality Model with Extensions (CAMx) with aerosol
(PM) processes developed at Carnegie Mellon University (PMCAMx)
regional chemical transport model. A set of five present-day Januaries
and six present-day Julys was simulated using GRE-CAPS. The present-day
model predictions (2000s) were compared to model predictions for a set
of five future Januaries and Julys. The future time period investigated
was the 2050s, using the Intergovernmental Panel on Climate Change A2
scenario. U. S. emissions of biogenic and anthropogenic precursors were
held constant so that the effects of climate change alone could be
calculated. Climate change led to a decrease in U. S. land cell average
January PM2.5 concentrations of 0.3 mu g m(-3) and an increase of July
PM2.5 of 2.5 mu g m(-3). The changes in PM in the Northeast were of the
opposite sign of the domain-wide averages. The response in January was
due largely to increased precipitation, while the response in July was
due primarily to decreased ventilation, as indicated by decreases in
mixing height and wind speed, with increases in sulfate being the
largest response by a single species. The U.S. land cell average change
in July daily maximum 8-h ozone concentration was +1.7 ppb, though the
increases in cities in the Southeast were up to 15 ppb. In spite of the
large differences in ozone in many areas, the changes in ozone
concentration were not statistically significant over most of the
domain because of large interannual variability. In separate
simulations to test the sensitivity of ozone concentrations to biogenic
emissions, a 25% increase in biogenic U. S. volatile organic compound
emissions led to an additional increase in land cell average ozone of
0.7 ppb, though the increased ozone resulting from increased biogenics
was largely statistically insignificant.
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title = {Impacts of climate change on regional and urban air quality in the eastern United States: Role of meteorology},
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abstract = {The effects of climate change on ozone and PM2.5 concentrations over
the eastern United States were investigated using the Global-Regional
Coupled Air Pollution modeling System (GRE-CAPS). GRE-CAPS consists of
the Goddard Institute for Space Studies (GISS) II' general circulation
model with aerosol processes and ozone chemistry, the fifth-generation
PSU/NCAR mesoscale model (MM5) regional meteorological model, and the
Comprehensive Air Quality Model with Extensions (CAMx) with aerosol
(PM) processes developed at Carnegie Mellon University (PMCAMx)
regional chemical transport model. A set of five present-day Januaries
and six present-day Julys was simulated using GRE-CAPS. The present-day
model predictions (2000s) were compared to model predictions for a set
of five future Januaries and Julys. The future time period investigated
was the 2050s, using the Intergovernmental Panel on Climate Change A2
scenario. U. S. emissions of biogenic and anthropogenic precursors were
held constant so that the effects of climate change alone could be
calculated. Climate change led to a decrease in U. S. land cell average
January PM2.5 concentrations of 0.3 mu g m(-3) and an increase of July
PM2.5 of 2.5 mu g m(-3). The changes in PM in the Northeast were of the
opposite sign of the domain-wide averages. The response in January was
due largely to increased precipitation, while the response in July was
due primarily to decreased ventilation, as indicated by decreases in
mixing height and wind speed, with increases in sulfate being the
largest response by a single species. The U.S. land cell average change
in July daily maximum 8-h ozone concentration was +1.7 ppb, though the
increases in cities in the Southeast were up to 15 ppb. In spite of the
large differences in ozone in many areas, the changes in ozone
concentration were not statistically significant over most of the
domain because of large interannual variability. In separate
simulations to test the sensitivity of ozone concentrations to biogenic
emissions, a 25% increase in biogenic U. S. volatile organic compound
emissions led to an additional increase in land cell average ozone of
0.7 ppb, though the increased ozone resulting from increased biogenics
was largely statistically insignificant.},
bibtype = {article},
author = {Dawson, John P and Racherla, Pavan N and Lynn, Barry H and Adams, Peter J and Pandis, Spyros N},
journal = {JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES}
}
Downloads: 0
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GRE-CAPS consists of\nthe Goddard Institute for Space Studies (GISS) II' general circulation\nmodel with aerosol processes and ozone chemistry, the fifth-generation\nPSU/NCAR mesoscale model (MM5) regional meteorological model, and the\nComprehensive Air Quality Model with Extensions (CAMx) with aerosol\n(PM) processes developed at Carnegie Mellon University (PMCAMx)\nregional chemical transport model. A set of five present-day Januaries\nand six present-day Julys was simulated using GRE-CAPS. The present-day\nmodel predictions (2000s) were compared to model predictions for a set\nof five future Januaries and Julys. The future time period investigated\nwas the 2050s, using the Intergovernmental Panel on Climate Change A2\nscenario. U. S. emissions of biogenic and anthropogenic precursors were\nheld constant so that the effects of climate change alone could be\ncalculated. Climate change led to a decrease in U. S. land cell average\nJanuary PM2.5 concentrations of 0.3 mu g m(-3) and an increase of July\nPM2.5 of 2.5 mu g m(-3). The changes in PM in the Northeast were of the\nopposite sign of the domain-wide averages. The response in January was\ndue largely to increased precipitation, while the response in July was\ndue primarily to decreased ventilation, as indicated by decreases in\nmixing height and wind speed, with increases in sulfate being the\nlargest response by a single species. The U.S. land cell average change\nin July daily maximum 8-h ozone concentration was +1.7 ppb, though the\nincreases in cities in the Southeast were up to 15 ppb. In spite of the\nlarge differences in ozone in many areas, the changes in ozone\nconcentration were not statistically significant over most of the\ndomain because of large interannual variability. In separate\nsimulations to test the sensitivity of ozone concentrations to biogenic\nemissions, a 25% increase in biogenic U. S. volatile organic compound\nemissions led to an additional increase in land cell average ozone of\n0.7 ppb, though the increased ozone resulting from increased biogenics\nwas largely statistically insignificant.","bibtype":"article","author":"Dawson, John P and Racherla, Pavan N and Lynn, Barry H and Adams, Peter J and Pandis, Spyros N","journal":"JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES","bibtex":"@article{\n title = {Impacts of climate change on regional and urban air quality in the eastern United States: Role of meteorology},\n type = {article},\n year = {2009},\n identifiers = {[object Object]},\n volume = {114},\n month = {3},\n id = {4b21352c-f574-366f-ad74-dfc89157bea0},\n created = {2014-10-08T16:28:18.000Z},\n file_attached = {false},\n profile_id = {363623ef-1990-38f1-b354-f5cdaa6548b2},\n group_id = {02267cec-5558-3876-9cfc-78d056bad5b9},\n last_modified = {2017-03-14T17:32:24.802Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Dawson.jgra.2009a},\n source_type = {article},\n private_publication = {false},\n abstract = {The effects of climate change on ozone and PM2.5 concentrations over\nthe eastern United States were investigated using the Global-Regional\nCoupled Air Pollution modeling System (GRE-CAPS). GRE-CAPS consists of\nthe Goddard Institute for Space Studies (GISS) II' general circulation\nmodel with aerosol processes and ozone chemistry, the fifth-generation\nPSU/NCAR mesoscale model (MM5) regional meteorological model, and the\nComprehensive Air Quality Model with Extensions (CAMx) with aerosol\n(PM) processes developed at Carnegie Mellon University (PMCAMx)\nregional chemical transport model. A set of five present-day Januaries\nand six present-day Julys was simulated using GRE-CAPS. The present-day\nmodel predictions (2000s) were compared to model predictions for a set\nof five future Januaries and Julys. The future time period investigated\nwas the 2050s, using the Intergovernmental Panel on Climate Change A2\nscenario. U. S. emissions of biogenic and anthropogenic precursors were\nheld constant so that the effects of climate change alone could be\ncalculated. Climate change led to a decrease in U. S. land cell average\nJanuary PM2.5 concentrations of 0.3 mu g m(-3) and an increase of July\nPM2.5 of 2.5 mu g m(-3). The changes in PM in the Northeast were of the\nopposite sign of the domain-wide averages. The response in January was\ndue largely to increased precipitation, while the response in July was\ndue primarily to decreased ventilation, as indicated by decreases in\nmixing height and wind speed, with increases in sulfate being the\nlargest response by a single species. The U.S. land cell average change\nin July daily maximum 8-h ozone concentration was +1.7 ppb, though the\nincreases in cities in the Southeast were up to 15 ppb. In spite of the\nlarge differences in ozone in many areas, the changes in ozone\nconcentration were not statistically significant over most of the\ndomain because of large interannual variability. In separate\nsimulations to test the sensitivity of ozone concentrations to biogenic\nemissions, a 25% increase in biogenic U. 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