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<p class="MsoNormal"><span style="font-size:11.0pt">Post-Doctorate
Position – Atmospheric Data Assimilation<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt"> </span></p>
<p class="MsoNormal"><span style="font-size:11.0pt">The Atmospheric
Sciences and Global Change Division (<a
href="http://www.pnnl.gov/atmospheric">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.<span style="mso-spacerun:yes">
</span>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.<span style="mso-spacerun:yes">
</span><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt">The candidate
should have demonstrated expertise in data assimilation.<span
style="mso-spacerun:yes">
</span>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. <o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt">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. <span
style="mso-spacerun:yes"> </span>Working across disciplines,
we integrate theory, measurements, and modeling at molecular to
global scales.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt">Use the
following link, <a
href="https://pnnl.jibeapply.com/jobs/305637/Post+Doctorate+RA+-+Climate+Science?lang=en-US">https://pnnl.jibeapply.com/jobs/305637/Post+Doctorate+RA+-+Climate+Science?lang=en-US</a>
for the full position description with specific requirements and
details on how to submit your application. Or visit
<a href="http://jobs.pnnl.gov">http://jobs.pnnl.gov</a> and
search for Job ID 305637 under the current job openings.<o:p></o:p></span></p>
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