[ES_JOBS_NET] Research Associateship , EPA’s National Exposure Research Laboratory, Research Triangle Park, North Carolina
Christine Wiedinmyer
christin at ucar.edu
Mon Dec 15 11:47:17 MST 2014
FORWARDED from the M3 Mailing List:
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.
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.
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.
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.
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.
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.
Please see the NRC website for additional information:
http://nrc58.nas.edu/RAPLab10/Opportunity/Opportunity.aspx?LabCode=22&ROPCD=220110&RONum=B7996
http://sites.nationalacademies.org/pga/rap/
http://sites.nationalacademies.org/pga/RAP/PGA_046398.htm
http://sites.nationalacademies.org/PGA/RAP/PGA_046587.htm
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