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FORWARDED from the M3 Mailing List: <br>
<span
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A Research Opportunity is currently available at EPA’s National
Exposure Research Laboratory in Research Triangle Park, North
Carolina. This appointment will be served in the Emissions and
Model Evaluation Branch within the Atmospheric Modeling and
Analysis Division (AMAD). Applications for the current review
cycle are due on February 1, 2015.<o:p></o:p></span>
<p><span
style="font-size:9.5pt;font-family:"Verdana","sans-serif";color:black">Numerical
air quality models simulate the complex interactions between
pollutant precursor emissions, meteorology, atmospheric
chemistry, and deposition. These models are designed to predict
atmospheric concentrations of a large number of gaseous (O3,
NO2, etc.) and particulate (sulfate, carbon, etc.) pollutants in
an Eulerian grid-based framework. The models are used for both
scientific study of the fate of air pollutants as well as the
development of abatement strategies to reduce their levels.<o:p></o:p></span></p>
<p><span
style="font-size:9.5pt;font-family:"Verdana","sans-serif";color:black">Model
evaluation is an area of active research in air quality
modeling, providing a link between model development and model
application. In 2009, scientists from North America and Europe
launched the Air Quality Model Evaluation International
Initiative (AQMEII) as a forum to monitor the
state-of-the-science in regional-scale air-quality models and
model evaluation methodologies. Since its inception, AQMEII
researchers have conducted two model evaluation and
intercomparison studies over both continents. Among other key
findings, both studies reaffirmed the critical importance of
specifying realistic lateral boundary conditions that reflect
large-scale pollutant concentrations which can be affected by
intercontinental transport of air pollution.<o:p></o:p></span></p>
<p><span
style="font-size:9.5pt;font-family:"Verdana","sans-serif";color:black">In
its next phase, AQMEII will contribute to the modeling and
analysis activities performed under the umbrella of the Task
Force on Hemispheric Transport of Air Pollutants (TF HTAP). The
objectives of this research are to systematically intercompare
the performance of global and regional air quality models using
a variety of surface and upper air datasets and to perform
sensitivity simulations with global and regional models that
reflect perturbed emissions in key source regions. These two
elements are aimed at determining the differences between the
two modeling approaches in quantifying long range transport of
air pollution and its impact on local air quality.<o:p></o:p></span></p>
<p><span
style="font-size:9.5pt;font-family:"Verdana","sans-serif";color:black">This
research opportunity will involve the application and evaluation
of the Community Multiscale Air Quality (CMAQ) model for an
annual base case and several sensitivity simulation over the
continental U.S. under the planned AQMEII/HTAP collaboration.
Some of the sensitivity simulations are expected to involve
downscaling emission perturbation scenarios from global and/or
hemispheric chemical transport models to the continental U.S.
Additional research activities may include the use of alternate
modeling techniques for providing estimates of the effects of
intercontinental transport on regional and local air pollution
under current and future climate scenarios. These alternate
approaches may include instrumented modeling techniques
available in CMAQ such as the Integrated Source Apportionment
Method (ISAM) or the Decoupled Direct Method in three Dimensions
(DDM-3D), and/or the use of nested CMAQ domains covering scales
from hemispheric to local.<o:p></o:p></span></p>
<p><span
style="font-size:9.5pt;font-family:"Verdana","sans-serif";color:black">The
Associate should have training and significant experience in the
application and evaluation of sophisticated numerical models,
and be comfortable with software programming (FORTRAN, R, NCL,
scripting, etc.) in the Linux environment. The Associate should
also have background in and knowledge of the chemical and
physical processes that drive air pollutant formation,
transport, and deposition. Finally, the Associate should possess
good technical writing and communication skills as evidence from
recent publications and presentations.<o:p></o:p></span></p>
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<p class="MsoNormal">Please see the NRC website for additional
information:<o:p></o:p></p>
<p class="MsoNormal"><span style="color:black"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="color:black"><a
href="http://nrc58.nas.edu/RAPLab10/Opportunity/Opportunity.aspx?LabCode=22&ROPCD=220110&RONum=B7996">http://nrc58.nas.edu/RAPLab10/Opportunity/Opportunity.aspx?LabCode=22&ROPCD=220110&RONum=B7996</a><o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:black"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="color:black"><a
href="http://sites.nationalacademies.org/pga/rap/">http://sites.nationalacademies.org/pga/rap/</a><o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:black"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="color:black"><a
href="http://sites.nationalacademies.org/pga/RAP/PGA_046398.htm">http://sites.nationalacademies.org/pga/RAP/PGA_046398.htm</a><o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:black"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="color:black"><a
href="http://sites.nationalacademies.org/PGA/RAP/PGA_046587.htm">http://sites.nationalacademies.org/PGA/RAP/PGA_046587.htm</a><o:p></o:p></span></p>
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