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| Titel |
Development and evaluation of the Screening Trajectory Ozone Prediction System (STOPS, version 1.0) |
| VerfasserIn |
B. H. Czader, P. Percell, D. Byun, S. Kim, Y. Choi |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1991-959X
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| Digitales Dokument |
URL |
| Erschienen |
In: Geoscientific Model Development ; 8, no. 5 ; Nr. 8, no. 5 (2015-05-13), S.1383-1394 |
| Datensatznummer |
250116340
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| Publikation (Nr.) |
 copernicus.org/gmd-8-1383-2015.pdf |
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| Zusammenfassung |
| A hybrid Lagrangian–Eulerian based modeling tool has been developed using
the Eulerian framework of the Community Multiscale Air Quality (CMAQ) model.
It is a moving nest that utilizes saved original CMAQ simulation results to
provide boundary conditions, initial conditions, as well as emissions and
meteorological parameters necessary for a simulation. Given that these files
are available, this tool can run independently of the CMAQ whole domain
simulation, and it is designed to simulate source–receptor relationships
upon changes in emissions. In this tool, the original CMAQ's horizontal
domain is reduced to a small sub-domain that follows a trajectory defined by
the mean mixed-layer wind. It has the same vertical structure and physical
and chemical interactions as CMAQ except advection calculation. The advantage
of this tool compared to other Lagrangian models is its capability of
utilizing realistic boundary conditions that change with space and time as
well as detailed chemistry treatment. The correctness of the algorithms and
the overall performance was evaluated against CMAQ simulation results. Its
performance depends on the atmospheric conditions occurring during the
simulation period, with the comparisons being most similar to CMAQ results
under uniform wind conditions. The mean bias for surface ozone mixing ratios
varies between −0.03 and −0.78 ppbV and the slope is between 0.99 and
1.01 for different analyzed cases. For complicated meteorological conditions,
such as wind circulation, the simulated mixing ratios deviate from CMAQ
values as a result of the Lagrangian approach of using mean wind for its
movement, but are still close, with the mean bias for ozone varying between
0.07 and −4.29 ppbV and the slope varying between 0.95 and 1.06 for
different analyzed cases. For historical reasons, this hybrid
Lagrangian–Eulerian based tool is named the Screening Trajectory Ozone
Prediction System (STOPS), but its use is not limited to ozone prediction as,
similarly to CMAQ, it can simulate concentrations of many species, including
particulate matter and some toxic compounds, such as formaldehyde and
1,3-butadiene. |
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