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<div align="center"><img
src="cid:part1.ECC40E33.927E9973@ucar.edu" alt=""
height="90" border="0" width="196">
<h3>Atmospheric Sciences and Global Change Division</h3>
<h2>Post-Doctorate Position - Atmospheric Data
Assimilation</h2>
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<p>The Atmospheric Sciences and Global Change Division (<a
href="http://www.pnnl.gov/atmospheric" target="_blank">http://www.pnnl.gov/atmospheric</a>)
at Pacific Northwest National Laboratory (PNNL) is
seeking a postdoctoral scientist to work on data
assimilation for cloud-resolving (grid spacing ~1 km)
and Large-Eddy Simulation (LES, grid spacing ~10's of m)
spatial scales. The post-doctoral fellow will work with
a project team (Drs. Jerome Fast, Robert Houze, Samson
Hagos, Zhe Feng, Larry Berg, William Gustfson, and Heng
Xiao) to create more realistic initial and boundary
conditions for simulations of shallow clouds and the
transition from shallow to deep convection. This will
involve merging extensive in situ (surface monitoring,
radiosondes, aircraft) and remote sensing (lidar, radar,
satellite) measurements with model predictions to create
high spatial and temporal resolution analyses.
Development will be based on existing data assimilation
packages developed for the Weather Research and
Forecasting (WRF) model. In addition, the fellow will be
expected to contribute to challenging modeling studies
designed to 1) better understand the processes
contributing to the initiation, evolution, and
organization of convective clouds, 2) improve physics
parameterizations, and 3) optimize meteorological
sampling locations.</p>
<p>The candidate should have demonstrated expertise in
data assimilation. An understanding of the processes
represented by cloud microphysics and convective
parameterizations used by atmospheric models is
desirable. Proficiency with FORTRAN and coding
experience in atmospheric modeling are required, and the
ability to modify, compile and run WRF is essential.
Familiarity with U.S. Department of Energy Atmospheric
Radiation Measurement (ARM) data products is useful, but
not required. Teamwork and strong communication skills
for engaging with project teams at PNNL and the broader
climate research community are also important. The
successful candidate will join the team of PNNL
researchers that are expanding the knowledge of
fundamental atmospheric processes, developing
state-of-the-art modeling capabilities, and improving
understanding of how human and natural systems interact.
Working across disciplines, we integrate theory,
measurements, and modeling at molecular to global
scales.</p>
<p>Use the following link,<span
class="Apple-converted-space"> </span><a
href="https://pnnl.jibeapply.com/jobs/305637/Post+Doctorate+RA+-+Climate+Science?lang=en-US"
target="_blank">https://pnnl.jibeapply.com/jobs/305637/Post+Doctorate+RA+-+Climate+Science?lang=en-US</a><span
class="Apple-converted-space"> </span>for the full
position description with specific requirements and
details on how to submit your application. Or visit<span
class="Apple-converted-space"> </span><a
href="http://jobs.pnnl.gov/" target="_blank">http://jobs.pnnl.gov</a><span
class="Apple-converted-space"> </span>and search for<span
class="Apple-converted-space"> </span><b>Job ID 305637</b><span
class="Apple-converted-space"> </span>under the
current job openings.</p>
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