Simulation of in situ ultrafine particle formation in the eastern United States using PMCAMx-UF. Jung, J., Fountoukis, C., Adams, P., J., & Pandis, S., N. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2, 2010.
abstract   bibtex   
A three-dimensional chemical transport model has been developed incorporating the Dynamic Model for Aerosol Nucleation for the simulation of aerosol dynamics into the regional model PMCAMx. Using a scaled version of the ternary H2SO4-NH3-H2O nucleation theory and the Two Moment Aerosol Sectional algorithm, the new model (PMCAMx-UF) is used to simulate a summertime period in the eastern United States. The model predicts, in agreement with observations, frequent nucleation events that take place over hundreds to thousands of kilometers, especially in the northeastern United States. Detailed comparison with the observations of the Pittsburgh Air Quality Study suggests that the model reproduces reasonably well the details of the events in this sulfur rich area but has a tendency to overpredict the frequency of the events. Regional nucleation is predicted to increase the total number concentrations by roughly a factor of 2.5 over the whole domain. The corresponding increases for particles larger than 10 nm (N-10) and 100 nm (N-100) were 75% and 15%, respectively. In the Ohio River Valley the increases are as much as a factor of 10 for total particle number and 40% for N-100. Contrary to the total particle concentration, increases of N-100 take place often in areas different than those of the nucleation events. Nucleation is predicted to decrease the N-100 in some areas even if it increases the total number concentration. The sensitivity of the model to the nucleation rate scaling parameter and the ammonia levels is discussed.
@article{
 title = {Simulation of in situ ultrafine particle formation in the eastern United States using PMCAMx-UF},
 type = {article},
 year = {2010},
 identifiers = {[object Object]},
 volume = {115},
 month = {2},
 id = {a7810989-96f3-3e7b-a7aa-56c3e690c9ef},
 created = {2014-10-08T16:28:18.000Z},
 file_attached = {false},
 profile_id = {363623ef-1990-38f1-b354-f5cdaa6548b2},
 group_id = {02267cec-5558-3876-9cfc-78d056bad5b9},
 last_modified = {2017-03-14T17:32:24.802Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 citation_key = {Jung.jgra.2010a},
 source_type = {article},
 private_publication = {false},
 abstract = {A three-dimensional chemical transport model has been developed
incorporating the Dynamic Model for Aerosol Nucleation for the
simulation of aerosol dynamics into the regional model PMCAMx. Using a
scaled version of the ternary H2SO4-NH3-H2O nucleation theory and the
Two Moment Aerosol Sectional algorithm, the new model (PMCAMx-UF) is
used to simulate a summertime period in the eastern United States. The
model predicts, in agreement with observations, frequent nucleation
events that take place over hundreds to thousands of kilometers,
especially in the northeastern United States. Detailed comparison with
the observations of the Pittsburgh Air Quality Study suggests that the
model reproduces reasonably well the details of the events in this
sulfur rich area but has a tendency to overpredict the frequency of the
events. Regional nucleation is predicted to increase the total number
concentrations by roughly a factor of 2.5 over the whole domain. The
corresponding increases for particles larger than 10 nm (N-10) and 100
nm (N-100) were 75% and 15%, respectively. In the Ohio River Valley
the increases are as much as a factor of 10 for total particle number
and 40% for N-100. Contrary to the total particle concentration,
increases of N-100 take place often in areas different than those of
the nucleation events. Nucleation is predicted to decrease the N-100 in
some areas even if it increases the total number concentration. The
sensitivity of the model to the nucleation rate scaling parameter and
the ammonia levels is discussed.},
 bibtype = {article},
 author = {Jung, JaeGun and Fountoukis, Christos and Adams, Peter J and Pandis, Spyros N},
 journal = {JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES}
}
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