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| Titel |
A database and tool for boundary conditions for regional air quality modeling: description and evaluation |
| VerfasserIn |
B. H. Henderson, F. Akhtar, H. O. T. Pye, S. L. Napelenok, W. T. Hutzell |
| 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 ; 7, no. 1 ; Nr. 7, no. 1 (2014-02-18), S.339-360 |
| Datensatznummer |
250115546
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| Publikation (Nr.) |
 copernicus.org/gmd-7-339-2014.pdf |
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| Zusammenfassung |
| Transported air pollutants receive increasing attention as regulations
tighten and global concentrations increase. The need to represent
international transport in regional air quality assessments requires improved
representation of boundary concentrations. Currently available observations
are too sparse vertically to provide boundary information, particularly for
ozone precursors, but global simulations can be used to generate spatially
and temporally varying lateral boundary conditions (LBC). This study presents
a public database of global simulations designed and evaluated for use as LBC
for air quality models (AQMs). The database covers the contiguous United
States (CONUS) for the years 2001–2010 and contains hourly varying
concentrations of ozone, aerosols, and their precursors. The database is
complemented by a tool for configuring the global results as inputs to
regional scale models (e.g., Community Multiscale Air Quality or
Comprehensive Air quality Model with extensions). This study also presents an
example application based on the CONUS domain, which is evaluated against
satellite retrieved ozone and carbon monoxide vertical profiles. The results
show performance is largely within uncertainty estimates for ozone from the
Ozone Monitoring Instrument and carbon monoxide from the Measurements Of
Pollution In The Troposphere (MOPITT), but there were some notable biases
compared with Tropospheric Emission Spectrometer (TES) ozone. Compared with
TES, our ozone predictions are high-biased in the upper troposphere,
particularly in the south during January. This publication documents the
global simulation database, the tool for conversion to LBC, and the
evaluation of concentrations on the boundaries. This documentation is
intended to support applications that require representation of long-range
transport of air pollutants. |
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