Postdoctoral Scientist at the Pacific Northwest National Laboratory (USA)

Postdoctoral Scientist – Modeling Mesoscale Organized Convection and

its Response to Global Warming

Pacific Northwest National Laboratory (PNNL) is recruiting a
postdoctoral scientist to conduct innovative research in climate
modeling regarding mesoscale organized convection and its response to
global warming.

Mesoscale organized convection is a major cause of flooding in many
regions worldwide. Representing organized convection has been one of the
foremost challenges in climate modeling, which limits our ability to
simulate the water cycle and its future changes. The selected candidate
will work with a team of PNNL scientists on advancing modeling and
understanding of mesoscale organized convection. In particular, the
candidate will evaluate a non-hydrostatic global variable resolution
modeling framework at spatial resolution ranging from about 4km to 50km
for its ability to simulate organized convection and related processes.
Combining with data analysis, the model will be used to study and
contrast the different convection types and the role of land-atmosphere
interactions on convection in the U.S. Great Plains and the Amazon. The
model will also be used to investigate how the structure of mesoscale
organized convection and the associated extreme precipitation may change
in a warmer climate. These efforts are part of a larger project aiming
at understanding how large-scale circulation features modulate regional
precipitation, what controls mesoscale organized convection and the
associated precipitation, and the multiscale connections between
atmospheric circulation and water cycle processes, all in the context of
the changing climate.

The position is for two years and renewable contingent upon performance.
The successful candidates should have a Ph.D. degree in atmospheric
sciences or related fields. Expertise in using data and models to study
convection or related processes such as clouds, boundary layer
turbulence, and land-atmosphere interactions as well as experience with
modeling and high performance computing will be considered favorably
during the evaluation. Applications should include:

·Cover letter describing the applicant’s research experience and interests.

·Curriculum vitae with a list of publications in refereed journals.

·Names and addresses of three references.

Interested candidates may send further inquiries to Ruby Leung

To apply, please visit: